560 results on '"Morey, Rajendra A."'
Search Results
2. Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis.
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Kennedy, Eamonn, Liebel, Spencer, Lindsey, Hannah, Vadlamani, Shashank, Lei, Pui-Wa, Adamson, Maheen, Alda, Martin, Alonso-Lana, Silvia, Anderson, Tim, Arango, Celso, Asarnow, Robert, Avram, Mihai, Ayesa-Arriola, Rosa, Babikian, Talin, Banaj, Nerisa, Bird, Laura, Borgwardt, Stefan, Brodtmann, Amy, Brosch, Katharina, Caeyenberghs, Karen, Calhoun, Vince, Chiaravalloti, Nancy, Cifu, David, Crespo-Facorro, Benedicto, Dalrymple-Alford, John, Dams-OConnor, Kristen, Dannlowski, Udo, Darby, David, Davenport, Nicholas, DeLuca, John, Diaz-Caneja, Covadonga, Disner, Seth, Dobryakova, Ekaterina, Ehrlich, Stefan, Esopenko, Carrie, Ferrarelli, Fabio, Frank, Lea, Franz, Carol, Fuentes-Claramonte, Paola, Genova, Helen, Giza, Christopher, Goltermann, Janik, Grotegerd, Dominik, Gruber, Marius, Gutierrez-Zotes, Alfonso, Ha, Minji, Haavik, Jan, Hinkin, Charles, Hoskinson, Kristen, Hubl, Daniela, Irimia, Andrei, Jansen, Andreas, Kaess, Michael, Kang, Xiaojian, Kenney, Kimbra, Keřková, Barbora, Khlif, Mohamed, Kim, Minah, Kindler, Jochen, Kircher, Tilo, Knížková, Karolina, Kolskår, Knut, Krch, Denise, Kremen, William, Kuhn, Taylor, Kumari, Veena, Kwon, Junsoo, Langella, Roberto, Laskowitz, Sarah, Lee, Jungha, Lengenfelder, Jean, Liou-Johnson, Victoria, Lippa, Sara, Løvstad, Marianne, Lundervold, Astri, Marotta, Cassandra, Marquardt, Craig, Mattos, Paulo, Mayeli, Ahmad, McDonald, Carrie, Meinert, Susanne, Melzer, Tracy, Merchán-Naranjo, Jessica, Michel, Chantal, Morey, Rajendra, Mwangi, Benson, Myall, Daniel, Nenadić, Igor, Newsome, Mary, Nunes, Abraham, OBrien, Terence, Oertel, Viola, Ollinger, John, Olsen, Alexander, Ortiz García de la Foz, Victor, Ozmen, Mustafa, Pardoe, Heath, Parent, Marise, Piras, Fabrizio, and Piras, Federica
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Parkinson’s disease ,attention-deficit/hyperactivity disorder ,bipolar disorder ,dementia ,depression ,memory ,schizophrenia ,stroke ,traumatic brain injury ,verbal learning - Abstract
Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15-90. The effects of dementia, mild cognitive impairment, Parkinsons disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest models identified age, years of education, and site as important VLM covariates. A Bayesian harmonization approach was used to isolate and remove site effects. Regression estimated the adjusted association of each clinical group with VLM scores. Memory deficits were strongly associated with dementia and schizophrenia (p < 0.001), while neither depression nor ADHD showed consistent associations with VLM scores (p > 0.05). Differences associated with clinical conditions were larger for longer delayed recall duration items. By comparing VLM across clinical conditions, this study provides a foundation for enhanced diagnostic precision and offers new insights into disease management of comorbid disorders.
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- 2024
3. ENIGMAs simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.
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Esopenko, Carrie, de Souza, Nicola, Dominguez D, Juan, Newsome, Mary, Dobryakova, Ekaterina, Cwiek, Andrew, Mullin, Hollie, Kim, Nicholas, Mayer, Andrew, Adamson, Maheen, Bickart, Kevin, Breedlove, Katherine, Dennis, Emily, Disner, Seth, Haswell, Courtney, Hodges, Cooper, Hoskinson, Kristen, Johnson, Paula, Königs, Marsh, Li, Lucia, Liebel, Spencer, Livny, Abigail, Morey, Rajendra, Muir, Alexandra, Olsen, Alexander, Razi, Adeel, Su, Matthew, Tate, David, Velez, Carmen, Wilde, Elisabeth, Zielinski, Brandon, Thompson, Paul, Hillary, Frank, Caeyenberghs, Karen, Imms, Phoebe, Irimia, Andrei, and Monti, Martin
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Functional MRI ,Functional connectivity ,Lesions ,Reproducibility ,Resting state fMRI ,Traumatic brain injury - Abstract
Resting state functional magnetic resonance imaging (rsfMRI) provides researchers and clinicians with a powerful tool to examine functional connectivity across large-scale brain networks, with ever-increasing applications to the study of neurological disorders, such as traumatic brain injury (TBI). While rsfMRI holds unparalleled promise in systems neurosciences, its acquisition and analytical methodology across research groups is variable, resulting in a literature that is challenging to integrate and interpret. The focus of this narrative review is to address the primary methodological issues including investigator decision points in the application of rsfMRI to study the consequences of TBI. As part of the ENIGMA Brain Injury working group, we have collaborated to identify a minimum set of recommendations that are designed to produce results that are reliable, harmonizable, and reproducible for the TBI imaging research community. Part one of this review provides the results of a literature search of current rsfMRI studies of TBI, highlighting key design considerations and data processing pipelines. Part two outlines seven data acquisition, processing, and analysis recommendations with the goal of maximizing study reliability and between-site comparability, while preserving investigator autonomy. Part three summarizes new directions and opportunities for future rsfMRI studies in TBI patients. The goal is to galvanize the TBI community to gain consensus for a set of rigorous and reproducible methods, and to increase analytical transparency and data sharing to address the reproducibility crisis in the field.
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- 2024
4. Genomic structural equation modeling reveals latent phenotypes in the human cortex with distinct genetic architecture
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Morey, Rajendra A., Zheng, Yuanchao, Bayly, Henry, Sun, Delin, Garrett, Melanie E., Gasperi, Marianna, Maihofer, Adam X., Baird, C. Lexi, Grasby, Katrina L., Huggins, Ashley A., Haswell, Courtney C., Thompson, Paul M., Medland, Sarah, Gustavson, Daniel E., Panizzon, Matthew S., Kremen, William S., Nievergelt, Caroline M., Ashley-Koch, Allison E., and Logue, Mark W.
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- 2024
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5. Linking Symptom Inventories using Semantic Textual Similarity
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Kennedy, Eamonn, Vadlamani, Shashank, Lindsey, Hannah M, Peterson, Kelly S, OConnor, Kristen Dams, Murray, Kenton, Agarwal, Ronak, Amiri, Houshang H, Andersen, Raeda K, Babikian, Talin, Baron, David A, Bigler, Erin D, Caeyenberghs, Karen, Delano-Wood, Lisa, Disner, Seth G, Dobryakova, Ekaterina, Eapen, Blessen C, Edelstein, Rachel M, Esopenko, Carrie, Genova, Helen M, Geuze, Elbert, Goodrich-Hunsaker, Naomi J, Grafman, Jordan, Haberg, Asta K, Hodges, Cooper B, Hoskinson, Kristen R, Hovenden, Elizabeth S, Irimia, Andrei, Jahanshad, Neda, Jha, Ruchira M, Keleher, Finian, Kenney, Kimbra, Koerte, Inga K, Liebel, Spencer W, Livny, Abigail, Lovstad, Marianne, Martindale, Sarah L, Max, Jeffrey E, Mayer, Andrew R, Meier, Timothy B, Menefee, Deleene S, Mohamed, Abdalla Z, Mondello, Stefania, Monti, Martin M, Morey, Rajendra A, Newcombe, Virginia, Newsome, Mary R, Olsen, Alexander, Pastorek, Nicholas J, Pugh, Mary Jo, Razi, Adeel, Resch, Jacob E, Rowland, Jared A, Russell, Kelly, Ryan, Nicholas P, Scheibel, Randall S, Schmidt, Adam T, Spitz, Gershon, Stephens, Jaclyn A, Tal, Assaf, Talbert, Leah D, Tartaglia, Maria Carmela, Taylor, Brian A, Thomopoulos, Sophia I, Troyanskaya, Maya, Valera, Eve M, van der Horn, Harm Jan, Van Horn, John D, Verma, Ragini, Wade, Benjamin SC, Walker, Willian SC, Ware, Ashley L, Werner Jr, J Kent, Yeates, Keith Owen, Zafonte, Ross D, Zeineh, Michael M, Zielinski, Brandon, Thompson, Paul M, Hillary, Frank G, Tate, David F, Wilde, Elisabeth A, and Dennis, Emily L
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which limits reproducibility. Here, we present an artificial intelligence (AI) approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories. We tested the ability of four pre-trained STS models to screen thousands of symptom description pairs for related content - a challenging task typically requiring expert panels. Models were tasked to predict symptom severity across four different inventories for 6,607 participants drawn from 16 international data sources. The STS approach achieved 74.8% accuracy across five tasks, outperforming other models tested. This work suggests that incorporating contextual, semantic information can assist expert decision-making processes, yielding gains for both general and disease-specific clinical assessment.
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- 2023
6. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder
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Nievergelt, Caroline M., Maihofer, Adam X., Atkinson, Elizabeth G., Chen, Chia-Yen, Choi, Karmel W., Coleman, Jonathan R. I., Daskalakis, Nikolaos P., Duncan, Laramie E., Polimanti, Renato, Aaronson, Cindy, Amstadter, Ananda B., Andersen, Soren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegoviç, Esmina, Babić, Dragan, Bacanu, Silviu-Alin, Baker, Dewleen G., Batzler, Anthony, Beckham, Jean C., Belangero, Sintia, Benjet, Corina, Bergner, Carisa, Bierer, Linda M., Biernacka, Joanna M., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Brandolino, Amber, Breen, Gerome, Bressan, Rodrigo Affonseca, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Børglum, Anders D., Børte, Sigrid, Cahn, Leah, Calabrese, Joseph R., Caldas-de-Almeida, Jose Miguel, Chatzinakos, Chris, Cheema, Sheraz, Clouston, Sean A. P., Colodro-Conde, Lucía, Coombes, Brandon J., Cruz-Fuentes, Carlos S., Dale, Anders M., Dalvie, Shareefa, Davis, Lea K., Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Desarnaud, Frank, DiPietro, Christopher P., Disner, Seth G., Docherty, Anna R., Domschke, Katharina, Dyb, Grete, Kulenović, Alma Džubur, Edenberg, Howard J., Evans, Alexandra, Fabbri, Chiara, Fani, Negar, Farrer, Lindsay A., Feder, Adriana, Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles F., Goleva, Slavina B., Gordon, Scott D., Goçi, Aferdita, Grasser, Lana Ruvolo, Guindalini, Camila, Haas, Magali, Hagenaars, Saskia, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M. J., Hesselbrock, Victor, Hickie, Ian B., Hogan, Kelleigh, Hougaard, David Michael, Huang, Hailiang, Huckins, Laura M., Hveem, Kristian, Jakovljević, Miro, Javanbakht, Arash, Jenkins, Gregory D., Johnson, Jessica, Jones, Ian, Jovanovic, Tanja, Karstoft, Karen-Inge, Kaufman, Milissa L., Kennedy, James L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kotov, Roman, Kranzler, Henry R., Krebs, Kristi, Kremen, William S., Kuan, Pei-Fen, Lawford, Bruce R., Lebois, Lauren A. M., Lehto, Kelli, Levey, Daniel F., Lewis, Catrin, Liberzon, Israel, Linnstaedt, Sarah D., Logue, Mark W., Lori, Adriana, Lu, Yi, Luft, Benjamin J., Lupton, Michelle K., Luykx, Jurjen J., Makotkine, Iouri, Maples-Keller, Jessica L., Marchese, Shelby, Marmar, Charles, Martin, Nicholas G., Martínez-Levy, Gabriela A., McAloney, Kerrie, McFarlane, Alexander, McLaughlin, Katie A., McLean, Samuel A., Medland, Sarah E., Mehta, Divya, Meyers, Jacquelyn, Michopoulos, Vasiliki, Mikita, Elizabeth A., Milani, Lili, Milberg, William, Miller, Mark W., Morey, Rajendra A., Morris, Charles Phillip, Mors, Ole, Mortensen, Preben Bo, Mufford, Mary S., Nelson, Elliot C., Nordentoft, Merete, Norman, Sonya B., Nugent, Nicole R., O’Donnell, Meaghan, Orcutt, Holly K., Pan, Pedro M., Panizzon, Matthew S., Pathak, Gita A., Peters, Edward S., Peterson, Alan L., Peverill, Matthew, Pietrzak, Robert H., Polusny, Melissa A., Porjesz, Bernice, Powers, Abigail, Qin, Xue-Jun, Ratanatharathorn, Andrew, Risbrough, Victoria B., Roberts, Andrea L., Rothbaum, Alex O., Rothbaum, Barbara O., Roy-Byrne, Peter, Ruggiero, Kenneth J., Rung, Ariane, Runz, Heiko, Rutten, Bart P. F., de Viteri, Stacey Saenz, Salum, Giovanni Abrahão, Sampson, Laura, Sanchez, Sixto E., Santoro, Marcos, Seah, Carina, Seedat, Soraya, Seng, Julia S., Shabalin, Andrey, Sheerin, Christina M., Silove, Derrick, Smith, Alicia K., Smoller, Jordan W., Sponheim, Scott R., Stein, Dan J., Stensland, Synne, Stevens, Jennifer S., Sumner, Jennifer A., Teicher, Martin H., Thompson, Wesley K., Tiwari, Arun K., Trapido, Edward, Uddin, Monica, Ursano, Robert J., Valdimarsdóttir, Unnur, Van Hooff, Miranda, Vermetten, Eric, Vinkers, Christiaan H., Voisey, Joanne, Wang, Yunpeng, Wang, Zhewu, Waszczuk, Monika, Weber, Heike, Wendt, Frank R., Werge, Thomas, Williams, Michelle A., Williamson, Douglas E., Winsvold, Bendik S., Winternitz, Sherry, Wolf, Christiane, Wolf, Erika J., Xia, Yan, Xiong, Ying, Yehuda, Rachel, Young, Keith A., Young, Ross McD, Zai, Clement C., Zai, Gwyneth C., Zervas, Mark, Zhao, Hongyu, Zoellner, Lori A., Zwart, John-Anker, deRoon-Cassini, Terri, van Rooij, Sanne J. H., van den Heuvel, Leigh L., Stein, Murray B., Ressler, Kerry J., and Koenen, Karestan C.
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- 2024
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7. Smaller total and subregional cerebellar volumes in posttraumatic stress disorder: a mega-analysis by the ENIGMA-PGC PTSD workgroup
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Huggins, Ashley A., Baird, C. Lexi, Briggs, Melvin, Laskowitz, Sarah, Hussain, Ahmed, Fouda, Samar, Haswell, Courtney, Sun, Delin, Salminen, Lauren E., Jahanshad, Neda, Thomopoulos, Sophia I., Veltman, Dick J., Frijling, Jessie L., Olff, Miranda, van Zuiden, Mirjam, Koch, Saskia B. J., Nawjin, Laura, Wang, Li, Zhu, Ye, Li, Gen, Stein, Dan J., Ipser, Jonathan, Seedat, Soraya, du Plessis, Stefan, van den Heuvel, Leigh L., Suarez-Jimenez, Benjamin, Zhu, Xi, Kim, Yoojean, He, Xiaofu, Zilcha-Mano, Sigal, Lazarov, Amit, Neria, Yuval, Stevens, Jennifer S., Ressler, Kerry J., Jovanovic, Tanja, van Rooij, Sanne J. H., Fani, Negar, Hudson, Anna R., Mueller, Sven C., Sierk, Anika, Manthey, Antje, Walter, Henrik, Daniels, Judith K., Schmahl, Christian, Herzog, Julia I., Říha, Pavel, Rektor, Ivan, Lebois, Lauren A. M., Kaufman, Milissa L., Olson, Elizabeth A., Baker, Justin T., Rosso, Isabelle M., King, Anthony P., Liberzon, Isreal, Angstadt, Mike, Davenport, Nicholas D., Sponheim, Scott R., Disner, Seth G., Straube, Thomas, Hofmann, David, Qi, Rongfeng, Lu, Guang Ming, Baugh, Lee A., Forster, Gina L., Simons, Raluca M., Simons, Jeffrey S., Magnotta, Vincent A., Fercho, Kelene A., Maron-Katz, Adi, Etkin, Amit, Cotton, Andrew S., O’Leary, Erin N., Xie, Hong, Wang, Xin, Quidé, Yann, El-Hage, Wissam, Lissek, Shmuel, Berg, Hannah, Bruce, Steven, Cisler, Josh, Ross, Marisa, Herringa, Ryan J., Grupe, Daniel W., Nitschke, Jack B., Davidson, Richard J., Larson, Christine L., deRoon-Cassini, Terri A., Tomas, Carissa W., Fitzgerald, Jacklynn M., Blackford, Jennifer Urbano, Olatunji, Bunmi O., Kremen, William S., Lyons, Michael J., Franz, Carol E., Gordon, Evan M., May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Levy, Ifat, Harpaz-Rotem, Ilan, Krystal, John H., Dennis, Emily L., Tate, David F., Cifu, David X., Walker, William C., Wilde, Elizabeth A., Harding, Ian H., Kerestes, Rebecca, Thompson, Paul M., and Morey, Rajendra
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- 2024
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8. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods
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Yang, Jin, Huggins, Ashley A., Sun, Delin, Baird, C. Lexi, Haswell, Courtney C., Frijling, Jessie L., Olff, Miranda, van Zuiden, Mirjam, Koch, Saskia B. J., Nawijn, Laura, Veltman, Dick J., Suarez-Jimenez, Benjamin, Zhu, Xi, Neria, Yuval, Hudson, Anna R., Mueller, Sven C., Baker, Justin T., Lebois, Lauren A. M., Kaufman, Milissa L., Qi, Rongfeng, Lu, Guang Ming, Říha, Pavel, Rektor, Ivan, Dennis, Emily L., Ching, Christopher R. K., Thomopoulos, Sophia I., Salminen, Lauren E., Jahanshad, Neda, Thompson, Paul M., Stein, Dan J., Koopowitz, Sheri M., Ipser, Jonathan C., Seedat, Soraya, du Plessis, Stefan, van den Heuvel, Leigh L., Wang, Li, Zhu, Ye, Li, Gen, Sierk, Anika, Manthey, Antje, Walter, Henrik, Daniels, Judith K., Schmahl, Christian, Herzog, Julia I., Liberzon, Israel, King, Anthony, Angstadt, Mike, Davenport, Nicholas D., Sponheim, Scott R., Disner, Seth G., Straube, Thomas, Hofmann, David, Grupe, Daniel W., Nitschke, Jack B., Davidson, Richard J., Larson, Christine L., deRoon-Cassini, Terri A., Blackford, Jennifer U., Olatunji, Bunmi O., Gordon, Evan M., May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Levy, Ifat, Harpaz-Rotem, Ilan, Krystal, John H., Morey, Rajendra A., and Sotiras, Aristeidis
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- 2024
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9. Altered lateralization of the cingulum in deployment‐related traumatic brain injury: An ENIGMA military‐relevant brain injury study
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Dennis, Emily L, Newsome, Mary R, Lindsey, Hannah M, Adamson, Maheen, Austin, Tara A, Disner, Seth G, Eapen, Blessen C, Esopenko, Carrie, Franz, Carol E, Geuze, Elbert, Haswell, Courtney, Hinds, Sidney R, Hodges, Cooper B, Irimia, Andrei, Kenney, Kimbra, Koerte, Inga K, Kremen, William S, Levin, Harvey S, Morey, Rajendra A, Ollinger, John, Rowland, Jared A, Scheibel, Randall S, Shenton, Martha E, Sullivan, Danielle R, Talbert, Leah D, Thomopoulos, Sophia I, Troyanskaya, Maya, Walker, William C, Wang, Xin, Ware, Ashley L, Werner, John Kent, Williams, Wright, Thompson, Paul M, Tate, David F, and Wilde, Elisabeth A
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Traumatic Head and Spine Injury ,Brain Disorders ,Biomedical Imaging ,Neurosciences ,Traumatic Brain Injury (TBI) ,Mental Health ,Physical Injury - Accidents and Adverse Effects ,Evaluation of treatments and therapeutic interventions ,6.6 Psychological and behavioural ,Neurological ,Mental health ,Humans ,Adult ,White Matter ,Neuropsychological Tests ,Brain Injuries ,Brain Injuries ,Traumatic ,Brain ,DTI ,military ,traumatic brain injury ,Cognitive Sciences ,Experimental Psychology - Abstract
Traumatic brain injury (TBI) in military populations can cause disruptions in brain structure and function, along with cognitive and psychological dysfunction. Diffusion magnetic resonance imaging (dMRI) can detect alterations in white matter (WM) microstructure, but few studies have examined brain asymmetry. Examining asymmetry in large samples may increase sensitivity to detect heterogeneous areas of WM alteration in mild TBI. Through the Enhancing Neuroimaging Genetics Through Meta-Analysis Military-Relevant Brain Injury working group, we conducted a mega-analysis of neuroimaging and clinical data from 16 cohorts of Active Duty Service Members and Veterans (n = 2598). dMRI data were processed together along with harmonized demographic, injury, psychiatric, and cognitive measures. Fractional anisotropy in the cingulum showed greater asymmetry in individuals with deployment-related TBI, driven by greater left lateralization in TBI. Results remained significant after accounting for potentially confounding variables including posttraumatic stress disorder, depression, and handedness, and were driven primarily by individuals whose worst TBI occurred before age 40. Alterations in the cingulum were also associated with slower processing speed and poorer set shifting. The results indicate an enhancement of the natural left laterality of the cingulum, possibly due to vulnerability of the nondominant hemisphere or compensatory mechanisms in the dominant hemisphere. The cingulum is one of the last WM tracts to mature, reaching peak FA around 42 years old. This effect was primarily detected in individuals whose worst injury occurred before age 40, suggesting that the protracted development of the cingulum may lead to increased vulnerability to insults, such as TBI.
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- 2023
10. Adolescent alcohol use is linked to disruptions in age-appropriate cortical thinning: an unsupervised machine learning approach
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Sun, Delin, Adduru, Viraj R, Phillips, Rachel D, Bouchard, Heather C, Sotiras, Aristeidis, Michael, Andrew M, Baker, Fiona C, Tapert, Susan F, Brown, Sandra A, Clark, Duncan B, Goldston, David, Nooner, Kate B, Nagel, Bonnie J, Thompson, Wesley K, De Bellis, Michael D, and Morey, Rajendra A
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Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Machine Learning and Artificial Intelligence ,Underage Drinking ,Clinical Research ,Alcoholism ,Alcohol Use and Health ,Substance Misuse ,Biomedical Imaging ,Pediatric ,Behavioral and Social Science ,Cancer ,Stroke ,Oral and gastrointestinal ,Good Health and Well Being ,Adolescent ,Humans ,Aged ,Unsupervised Machine Learning ,Cerebral Cortical Thinning ,Alcohol Drinking ,Magnetic Resonance Imaging ,Ethanol ,Longitudinal Studies ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Neurosciences ,Biological psychology - Abstract
Cortical thickness changes dramatically during development and is associated with adolescent drinking. However, previous findings have been inconsistent and limited by region-of-interest approaches that are underpowered because they do not conform to the underlying spatially heterogeneous effects of alcohol. In this study, adolescents (n = 657; 12-22 years at baseline) from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study who endorsed little to no alcohol use at baseline were assessed with structural magnetic resonance imaging and followed longitudinally at four yearly intervals. Seven unique spatial patterns of covarying cortical thickness were obtained from the baseline scans by applying an unsupervised machine learning method called non-negative matrix factorization (NMF). The cortical thickness maps of all participants' longitudinal scans were projected onto vertex-level cortical patterns to obtain participant-specific coefficients for each pattern. Linear mixed-effects models were fit to each pattern to investigate longitudinal effects of alcohol consumption on cortical thickness. We found in six NMF-derived cortical thickness patterns, the longitudinal rate of decline in no/low drinkers was similar for all age cohorts. Among moderate drinkers the decline was faster in the younger adolescent cohort and slower in the older cohort. Among heavy drinkers the decline was fastest in the younger cohort and slowest in the older cohort. The findings suggested that unsupervised machine learning successfully delineated spatially coordinated patterns of vertex-level cortical thickness variation that are unconstrained by neuroanatomical features. Age-appropriate cortical thinning is more rapid in younger adolescent drinkers and slower in older adolescent drinkers, an effect that is strongest among heavy drinkers.
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- 2023
11. A comparison of methods to harmonize cortical thickness measurements across scanners and sites
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Sun, Delin, Rakesh, Gopalkumar, Haswell, Courtney C, Logue, Mark, Baird, C Lexi, O'Leary, Erin N, Cotton, Andrew S, Xie, Hong, Tamburrino, Marijo, Chen, Tian, Dennis, Emily L, Jahanshad, Neda, Salminen, Lauren E, Thomopoulos, Sophia I, Rashid, Faisal, Ching, Christopher RK, Koch, Saskia BJ, Frijling, Jessie L, Nawijn, Laura, van Zuiden, Mirjam, Zhu, Xi, Suarez-Jimenez, Benjamin, Sierk, Anika, Walter, Henrik, Manthey, Antje, Stevens, Jennifer S, Fani, Negar, van Rooij, Sanne JH, Stein, Murray, Bomyea, Jessica, Koerte, Inga K, Choi, Kyle, van der Werff, Steven JA, Vermeiren, Robert RJM, Herzog, Julia, Lebois, Lauren AM, Baker, Justin T, Olson, Elizabeth A, Straube, Thomas, Korgaonkar, Mayuresh S, Andrew, Elpiniki, Zhu, Ye, Li, Gen, Ipser, Jonathan, Hudson, Anna R, Peverill, Matthew, Sambrook, Kelly, Gordon, Evan, Baugh, Lee, Forster, Gina, Simons, Raluca M, Simons, Jeffrey S, Magnotta, Vincent, Maron-Katz, Adi, du Plessis, Stefan, Disner, Seth G, Davenport, Nicholas, Grupe, Daniel W, Nitschke, Jack B, deRoon-Cassini, Terri A, Fitzgerald, Jacklynn M, Krystal, John H, Levy, Ifat, Olff, Miranda, Veltman, Dick J, Wang, Li, Neria, Yuval, De Bellis, Michael D, Jovanovic, Tanja, Daniels, Judith K, Shenton, Martha, van de Wee, Nic JA, Schmahl, Christian, Kaufman, Milissa L, Rosso, Isabelle M, Sponheim, Scott R, Hofmann, David Bernd, Bryant, Richard A, Fercho, Kelene A, Stein, Dan J, Mueller, Sven C, Hosseini, Bobak, Phan, K Luan, McLaughlin, Katie A, Davidson, Richard J, Larson, Christine L, May, Geoffrey, Nelson, Steven M, Abdallah, Chadi G, Gomaa, Hassaan, Etkin, Amit, Seedat, Soraya, Harpaz-Rotem, Ilan, Liberzon, Israel, van Erp, Theo GM, Quidé, Yann, Wang, Xin, Thompson, Paul M, and Morey, Rajendra A
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Good Health and Well Being ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Case-Control Studies ,Child ,Female ,Humans ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Neuroimaging ,Stress Disorders ,Post-Traumatic ,Young Adult ,Data Harmonization ,Scanner Effects ,Site Effects ,Cortical Thickness ,ComBat ,ComBat-GAM ,Linear Mixed-Effects Model ,General Additive Model ,PTSD ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery - Abstract
Results of neuroimaging datasets aggregated from multiple sites may be biased by site-specific profiles in participants' demographic and clinical characteristics, as well as MRI acquisition protocols and scanning platforms. We compared the impact of four different harmonization methods on results obtained from analyses of cortical thickness data: (1) linear mixed-effects model (LME) that models site-specific random intercepts (LMEINT), (2) LME that models both site-specific random intercepts and age-related random slopes (LMEINT+SLP), (3) ComBat, and (4) ComBat with a generalized additive model (ComBat-GAM). Our test case for comparing harmonization methods was cortical thickness data aggregated from 29 sites, which included 1,340 cases with posttraumatic stress disorder (PTSD) (6.2-81.8 years old) and 2,057 trauma-exposed controls without PTSD (6.3-85.2 years old). We found that, compared to the other data harmonization methods, data processed with ComBat-GAM was more sensitive to the detection of significant case-control differences (Χ2(3) = 63.704, p < 0.001) as well as case-control differences in age-related cortical thinning (Χ2(3) = 12.082, p = 0.007). Both ComBat and ComBat-GAM outperformed LME methods in detecting sex differences (Χ2(3) = 9.114, p = 0.028) in regional cortical thickness. ComBat-GAM also led to stronger estimates of age-related declines in cortical thickness (corrected p-values < 0.001), stronger estimates of case-related cortical thickness reduction (corrected p-values < 0.001), weaker estimates of age-related declines in cortical thickness in cases than controls (corrected p-values < 0.001), stronger estimates of cortical thickness reduction in females than males (corrected p-values < 0.001), and stronger estimates of cortical thickness reduction in females relative to males in cases than controls (corrected p-values < 0.001). Our results support the use of ComBat-GAM to minimize confounds and increase statistical power when harmonizing data with non-linear effects, and the use of either ComBat or ComBat-GAM for harmonizing data with linear effects.
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- 2022
12. Age‐dependent white matter disruptions after military traumatic brain injury: Multivariate analysis results from ENIGMA brain injury
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Bouchard, Heather C, Sun, Delin, Dennis, Emily L, Newsome, Mary R, Disner, Seth G, Elman, Jeremy, Silva, Annelise, Velez, Carmen, Irimia, Andrei, Davenport, Nicholas D, Sponheim, Scott R, Franz, Carol E, Kremen, William S, Coleman, Michael J, Williams, M Wright, Geuze, Elbert, Koerte, Inga K, Shenton, Martha E, Adamson, Maheen M, Coimbra, Raul, Grant, Gerald, Shutter, Lori, George, Mark S, Zafonte, Ross D, McAllister, Thomas W, Stein, Murray B, Thompson, Paul M, Wilde, Elisabeth A, Tate, David F, Sotiras, Aristeidis, and Morey, Rajendra A
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Clinical and Health Psychology ,Psychology ,Traumatic Brain Injury (TBI) ,Physical Injury - Accidents and Adverse Effects ,Brain Disorders ,Traumatic Head and Spine Injury ,Neurosciences ,2.1 Biological and endogenous factors ,Brain ,Brain Concussion ,Brain Injuries ,Brain Injuries ,Traumatic ,Humans ,Military Personnel ,Multivariate Analysis ,Stress Disorders ,Post-Traumatic ,Veterans ,White Matter ,diffusion MRI ,ENIGMA ,military ,mTBI ,nonnegative matrix factorization ,traumatic brain injury ,Cognitive Sciences ,Experimental Psychology ,Biological psychology ,Cognitive and computational psychology - Abstract
Mild Traumatic brain injury (mTBI) is a signature wound in military personnel, and repetitive mTBI has been linked to age-related neurogenerative disorders that affect white matter (WM) in the brain. However, findings of injury to specific WM tracts have been variable and inconsistent. This may be due to the heterogeneity of mechanisms, etiology, and comorbid disorders related to mTBI. Non-negative matrix factorization (NMF) is a data-driven approach that detects covarying patterns (components) within high-dimensional data. We applied NMF to diffusion imaging data from military Veterans with and without a self-reported TBI history. NMF identified 12 independent components derived from fractional anisotropy (FA) in a large dataset (n = 1,475) gathered through the ENIGMA (Enhancing Neuroimaging Genetics through Meta-Analysis) Military Brain Injury working group. Regressions were used to examine TBI- and mTBI-related associations in NMF-derived components while adjusting for age, sex, post-traumatic stress disorder, depression, and data acquisition site/scanner. We found significantly stronger age-dependent effects of lower FA in Veterans with TBI than Veterans without in four components (q
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- 2022
13. Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information
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Maihofer, Adam X, Choi, Karmel W, Coleman, Jonathan RI, Daskalakis, Nikolaos P, Denckla, Christy A, Ketema, Elizabeth, Morey, Rajendra A, Polimanti, Renato, Ratanatharathorn, Andrew, Torres, Katy, Wingo, Aliza P, Zai, Clement C, Aiello, Allison E, Almli, Lynn M, Amstadter, Ananda B, Andersen, Soren B, Andreassen, Ole A, Arbisi, Paul A, Ashley-Koch, Allison E, Austin, S Bryn, Avdibegović, Esmina, Borglum, Anders D, Babić, Dragan, Bækvad-Hansen, Marie, Baker, Dewleen G, Beckham, Jean C, Bierut, Laura J, Bisson, Jonathan I, Boks, Marco P, Bolger, Elizabeth A, Bradley, Bekh, Brashear, Meghan, Breen, Gerome, Bryant, Richard A, Bustamante, Angela C, Bybjerg-Grauholm, Jonas, Calabrese, Joseph R, Caldas-de-Almeida, José M, Chen, Chia-Yen, Dale, Anders M, Dalvie, Shareefa, Deckert, Jürgen, Delahanty, Douglas L, Dennis, Michelle F, Disner, Seth G, Domschke, Katharina, Duncan, Laramie E, Džubur Kulenović, Alma, Erbes, Christopher R, Evans, Alexandra, Farrer, Lindsay A, Feeny, Norah C, Flory, Janine D, Forbes, David, Franz, Carol E, Galea, Sandro, Garrett, Melanie E, Gautam, Aarti, Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles F, Goçi, Aferdita, Gordon, Scott D, Guffanti, Guia, Hammamieh, Rasha, Hauser, Michael A, Heath, Andrew C, Hemmings, Sian MJ, Hougaard, David Michael, Jakovljević, Miro, Jett, Marti, Johnson, Eric Otto, Jones, Ian, Jovanovic, Tanja, Qin, Xue-Jun, Karstoft, Karen-Inge, Kaufman, Milissa L, Kessler, Ronald C, Khan, Alaptagin, Kimbrel, Nathan A, King, Anthony P, Koen, Nastassja, Kranzler, Henry R, Kremen, William S, Lawford, Bruce R, Lebois, Lauren AM, Lewis, Catrin, Liberzon, Israel, Linnstaedt, Sarah D, Logue, Mark W, Lori, Adriana, Lugonja, Božo, Luykx, Jurjen J, Lyons, Michael J, Maples-Keller, Jessica L, Marmar, Charles, Martin, Nicholas G, Maurer, Douglas, and Mavissakalian, Matig R
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Biological Sciences ,Genetics ,Post-Traumatic Stress Disorder (PTSD) ,Brain Disorders ,Human Genome ,Prevention ,Mental Health ,Mental Illness ,Anxiety Disorders ,Mental health ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Phenotype ,Polymorphism ,Single Nucleotide ,Stress Disorders ,Post-Traumatic ,GWAS ,Heritability ,PTSD ,PheWAS ,Trauma ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Biological sciences ,Biomedical and clinical sciences ,Psychology - Abstract
BackgroundPosttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs).MethodsA GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis (N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort (N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran Program GWAS of PTSD total symptoms.ResultsGWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran Program.ConclusionsThrough using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods.
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- 2022
14. ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research.
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Kochunov, Peter, Hong, L, Dennis, Emily, Morey, Rajendra, Tate, David, Wilde, Elisabeth, Logue, Mark, Kelly, Sinead, Donohoe, Gary, Favre, Pauline, Houenou, Josselin, Ching, Christopher, Holleran, Laurena, Andreassen, Ole, van Velzen, Laura, Schmaal, Lianne, Villalón-Reina, Julio, Piras, Fabrizio, Spalletta, Gianfranco, van den Heuvel, Odile, Veltman, Dick, Stein, Dan, Ryan, Meghann, Tan, Yunlong, Turner, Jessica, Haddad, Liz, Nir, Talia, Glahn, David, Thompson, Paul, Jahanshad, Neda, Bearden, Carrie, and Van Erp, Theodorus
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DTI ,ENIGMA ,RVI ,big data ,cross-disorder ,white matter deficit patterns ,Biomedical Research ,Diffusion Tensor Imaging ,Humans ,Mental Disorders ,Multicenter Studies as Topic ,Psychiatry ,White Matter - Abstract
The ENIGMA-DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations. The seven ENIGMA disorder-oriented working groups used the ENIGMA-DTI workflow to derive patterns of deficits using coherent and coordinated analyses that model the disease effects across cohorts worldwide. This yielded the largest studies detailing patterns of white matter deficits in schizophrenia spectrum disorder (SSD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD), traumatic brain injury (TBI), and 22q11 deletion syndrome. These deficit patterns are informative of the underlying neurobiology and reproducible in independent cohorts. We reviewed these findings, demonstrated their reproducibility in independent cohorts, and compared the deficit patterns across illnesses. We discussed translating ENIGMA-defined deficit patterns on the level of individual subjects using a metric called the regional vulnerability index (RVI), a correlation of an individuals brain metrics with the expected pattern for a disorder. We discussed the similarity in white matter deficit patterns among SSD, BD, MDD, and OCD and provided a rationale for using this index in cross-diagnostic neuropsychiatric research. We also discussed the difference in deficit patterns between idiopathic schizophrenia and 22q11 deletion syndrome, which is used as a developmental and genetic model of schizophrenia. Together, these findings highlight the importance of collaborative large-scale research to provide robust and reproducible effects that offer insights into individual vulnerability and cross-diagnosis features.
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- 2022
15. FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts
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Sämann, Philipp G, Iglesias, Juan Eugenio, Gutman, Boris, Grotegerd, Dominik, Leenings, Ramona, Flint, Claas, Dannlowski, Udo, Clarke‐Rubright, Emily K, Morey, Rajendra A, Erp, Theo GM, Whelan, Christopher D, Han, Laura KM, Velzen, Laura S, Cao, Bo, Augustinack, Jean C, Thompson, Paul M, Jahanshad, Neda, and Schmaal, Lianne
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Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Mental Health ,Behavioral and Social Science ,Neurosciences ,Aging ,Brain Disorders ,Biomedical Imaging ,Neurodegenerative ,Bioengineering ,Neurological ,Mental health ,Hippocampus ,Humans ,Image Processing ,Computer-Assisted ,Magnetic Resonance Imaging ,Multicenter Studies as Topic ,Neuroimaging ,Quality Control ,ENIGMA ,FreeSurfer ,MRI ,hippocampal subfields ,hippocampal subregions ,hippocampus ,quality control ,segmentation ,Cognitive Sciences ,Experimental Psychology ,Biological psychology ,Cognitive and computational psychology - Abstract
Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporated and how subfields may be aggregated into composite volumes. This discussion is based on a synopsis of 162 published neuroimaging studies (01/2013-12/2019) that applied the FreeSurfer hippocampal subfield segmentation in a broad range of domains including cognition and healthy aging, brain development and neurodegeneration, affective disorders, psychosis, stress regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity and posttraumatic stress disorder, and candidate and whole genome (epi-)genetics. Finally, we highlight points where FreeSurfer-based hippocampal subfield studies may be optimized.
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- 2022
16. Influence of affective instability on suicidal ideation beyond traumatic brain injury and posttraumatic stress disorder in veterans
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Martinez, Brandy S., Rowland, Jared A., Shura, Robert D., Magnante, Anna T., Morey, Rajendra A., and Martindale, Sarah L.
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- 2024
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17. Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis
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Wang, Xin, Xie, Hong, Chen, Tian, Cotton, Andrew S, Salminen, Lauren E, Logue, Mark W, Clarke-Rubright, Emily K, Wall, John, Dennis, Emily L, O’Leary, Brian M, Abdallah, Chadi G, Andrew, Elpiniki, Baugh, Lee A, Bomyea, Jessica, Bruce, Steven E, Bryant, Richard, Choi, Kyle, Daniels, Judith K, Davenport, Nicholas D, Davidson, Richard J, DeBellis, Michael, deRoon-Cassini, Terri, Disner, Seth G, Fani, Negar, Fercho, Kelene A, Fitzgerald, Jacklynn, Forster, Gina L, Frijling, Jessie L, Geuze, Elbert, Gomaa, Hassaan, Gordon, Evan M, Grupe, Dan, Harpaz-Rotem, Ilan, Haswell, Courtney C, Herzog, Julia I, Hofmann, David, Hollifield, Michael, Hosseini, Bobak, Hudson, Anna R, Ipser, Jonathan, Jahanshad, Neda, Jovanovic, Tanja, Kaufman, Milissa L, King, Anthony P, Koch, Saskia BJ, Koerte, Inga K, Korgaonkar, Mayuresh S, Krystal, John H, Larson, Christine, Lebois, Lauren AM, Levy, Ifat, Li, Gen, Magnotta, Vincent A, Manthey, Antje, May, Geoffrey, McLaughlin, Katie A, Mueller, Sven C, Nawijn, Laura, Nelson, Steven M, Neria, Yuval, Nitschke, Jack B, Olff, Miranda, Olson, Elizabeth A, Peverill, Matthew, Phan, K Luan, Rashid, Faisal M, Ressler, Kerry, Rosso, Isabelle M, Sambrook, Kelly, Schmahl, Christian, Shenton, Martha E, Sierk, Anika, Simons, Jeffrey S, Simons, Raluca M, Sponheim, Scott R, Stein, Murray B, Stein, Dan J, Stevens, Jennifer S, Straube, Thomas, Suarez-Jimenez, Benjamin, Tamburrino, Marijo, Thomopoulos, Sophia I, van der Wee, Nic JA, van der Werff, Steven JA, van Erp, Theo GM, van Rooij, Sanne JH, van Zuiden, Mirjam, Varkevisser, Tim, Veltman, Dick J, Vermeiren, Robert RJM, Walter, Henrik, Wang, Li, Zhu, Ye, Zhu, Xi, Thompson, Paul M, Morey, Rajendra A, and Liberzon, Israel
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Clinical Research ,Behavioral and Social Science ,Mental Health ,Post-Traumatic Stress Disorder (PTSD) ,Neurosciences ,Brain Disorders ,Mental health ,Cerebral Cortex ,Genomics ,Humans ,Magnetic Resonance Imaging ,Stress Disorders ,Post-Traumatic ,Temporal Lobe ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
Studies of posttraumatic stress disorder (PTSD) report volume abnormalities in multiple regions of the cerebral cortex. However, findings for many regions, particularly regions outside commonly studied emotion-related prefrontal, insular, and limbic regions, are inconsistent and tentative. Also, few studies address the possibility that PTSD abnormalities may be confounded by comorbid depression. A mega-analysis investigating all cortical regions in a large sample of PTSD and control subjects can potentially provide new insight into these issues. Given this perspective, our group aggregated regional volumes data of 68 cortical regions across both hemispheres from 1379 PTSD patients to 2192 controls without PTSD after data were processed by 32 international laboratories using ENIGMA standardized procedures. We examined whether regional cortical volumes were different in PTSD vs. controls, were associated with posttraumatic stress symptom (PTSS) severity, or were affected by comorbid depression. Volumes of left and right lateral orbitofrontal gyri (LOFG), left superior temporal gyrus, and right insular, lingual and superior parietal gyri were significantly smaller, on average, in PTSD patients than controls (standardized coefficients = -0.111 to -0.068, FDR corrected P values
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- 2021
18. Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium
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Suarez-Jimenez, Benjamin, Lazarov, Amit, Zhu, Xi, Zilcha-Mano, Sigal, Kim, Yoojean, Marino, Claire E., Rjabtsenkov, Pavel, Bavdekar, Shreya Y., Pine, Daniel S., Bar-Haim, Yair, Larson, Christine L., Huggins, Ashley A., Terri deRoon-Cassini, Tomas, Carissa, Fitzgerald, Jacklynn, Kennis, Mitzy, Varkevisser, Tim, Geuze, Elbert, Quidé, Yann, El Hage, Wissam, Wang, Xin, O’Leary, Erin N., Cotton, Andrew S., Xie, Hong, Shih, Chiahao, Disner, Seth G., Davenport, Nicholas D., Sponheim, Scott R., Koch, Saskia B.J., Frijling, Jessie L., Nawijn, Laura, van Zuiden, Mirjam, Olff, Miranda, Veltman, Dick J., Gordon, Evan M., May, Geoffery, Nelson, Steven M., Jia-Richards, Meilin, Neria, Yuval, and Morey, Rajendra A.
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- 2024
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19. ENIGMA’s simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury
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Caeyenberghs, Karen, Imms, Phoebe, Irimia, Andrei, Monti, Martin M., Esopenko, Carrie, de Souza, Nicola L., Dominguez D, Juan F., Newsome, Mary R., Dobryakova, Ekaterina, Cwiek, Andrew, Mullin, Hollie A.C., Kim, Nicholas J., Mayer, Andrew R., Adamson, Maheen M., Bickart, Kevin, Breedlove, Katherine M., Dennis, Emily L., Disner, Seth G., Haswell, Courtney, Hodges, Cooper B., Hoskinson, Kristen R., Johnson, Paula K., Königs, Marsh, Li, Lucia M., Liebel, Spencer W., Livny, Abigail, Morey, Rajendra A., Muir, Alexandra M., Olsen, Alexander, Razi, Adeel, Su, Matthew, Tate, David F., Velez, Carmen, Wilde, Elisabeth A., Zielinski, Brandon A., Thompson, Paul M., and Hillary, Frank G.
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- 2024
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20. The Genetic Architecture of Amygdala Nuclei
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Mufford, Mary S., van der Meer, Dennis, Kaufmann, Tobias, Frei, Oleksandr, Ramesar, Raj, Thompson, Paul M., Jahanshad, Neda, Morey, Rajendra A., Andreassen, Ole A., Stein, Dan J., and Dalvie, Shareefa
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- 2024
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21. Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium
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Zhu, Xi, Kim, Yoojean, Ravid, Orren, He, Xiaofu, Suarez-Jimenez, Benjamin, Zilcha-Mano, Sigal, Lazarov, Amit, Lee, Seonjoo, Abdallah, Chadi G., Angstadt, Michael, Averill, Christopher L., Baird, C. Lexi, Baugh, Lee A., Blackford, Jennifer U., Bomyea, Jessica, Bruce, Steven E., Bryant, Richard A., Cao, Zhihong, Choi, Kyle, Cisler, Josh, Cotton, Andrew S., Daniels, Judith K., Davenport, Nicholas D., Davidson, Richard J., DeBellis, Michael D., Dennis, Emily L., Densmore, Maria, deRoon-Cassini, Terri, Disner, Seth G., Hage, Wissam El, Etkin, Amit, Fani, Negar, Fercho, Kelene A., Fitzgerald, Jacklynn, Forster, Gina L., Frijling, Jessie L., Geuze, Elbert, Gonenc, Atilla, Gordon, Evan M., Gruber, Staci, Grupe, Daniel W, Guenette, Jeffrey P., Haswell, Courtney C., Herringa, Ryan J., Herzog, Julia, Hofmann, David Bernd, Hosseini, Bobak, Hudson, Anna R., Huggins, Ashley A., Ipser, Jonathan C., Jahanshad, Neda, Jia-Richards, Meilin, Jovanovic, Tanja, Kaufman, Milissa L., Kennis, Mitzy, King, Anthony, Kinzel, Philipp, Koch, Saskia B.J., Koerte, Inga K., Koopowitz, Sheri M., Korgaonkar, Mayuresh S., Krystal, John H., Lanius, Ruth, Larson, Christine L., Lebois, Lauren A.M., Li, Gen, Liberzon, Israel, Lu, Guang Ming, Luo, Yifeng, Magnotta, Vincent A., Manthey, Antje, Maron-Katz, Adi, May, Geoffery, McLaughlin, Katie, Mueller, Sven C., Nawijn, Laura, Nelson, Steven M., Neufeld, Richard W.J., Nitschke, Jack B, O'Leary, Erin M., Olatunji, Bunmi O., Olff, Miranda, Peverill, Matthew, Phan, K. Luan, Qi, Rongfeng, Quidé, Yann, Rektor, Ivan, Ressler, Kerry, Riha, Pavel, Ross, Marisa, Rosso, Isabelle M., Salminen, Lauren E., Sambrook, Kelly, Schmahl, Christian, Shenton, Martha E., Sheridan, Margaret, Shih, Chiahao, Sicorello, Maurizio, Sierk, Anika, Simmons, Alan N., Simons, Raluca M., Simons, Jeffrey S., Sponheim, Scott R., Stein, Murray B., Stein, Dan J., Stevens, Jennifer S., Straube, Thomas, Sun, Delin, Théberge, Jean, Thompson, Paul M., Thomopoulos, Sophia I., van der Wee, Nic J.A., van der Werff, Steven J.A., van Erp, Theo G.M., van Rooij, Sanne J.H., van Zuiden, Mirjam, Varkevisser, Tim, Veltman, Dick J., Vermeiren, Robert R.J.M., Walter, Henrik, Wang, Li, Wang, Xin, Weis, Carissa, Winternitz, Sherry, Xie, Hong, Zhu, Ye, Wall, Melanie, Neria, Yuval, and Morey, Rajendra A.
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- 2023
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22. Coordinating Global Multi-Site Studies of Military-Relevant Traumatic Brain Injury: Opportunities, Challenges, and Harmonization Guidelines
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Tate, David F, Dennis, Emily L, Adams, John T, Adamson, Maheen M, Belanger, Heather G, Bigler, Erin D, Bouchard, Heather C, Clark, Alexandra L, Delano-Wood, Lisa M, Disner, Seth G, Eapen, Blessen C, Franz, Carol E, Geuze, Elbert, Goodrich-Hunsaker, Naomi J, Han, Kihwan, Hayes, Jasmeet P, Hinds, Sidney R, Hodges, Cooper B, Hovenden, Elizabeth S, Irimia, Andrei, Kenney, Kimbra, Koerte, Inga K, Kremen, William S, Levin, Harvey S, Lindsey, Hannah M, Morey, Rajendra A, Newsome, Mary R, Ollinger, John, Pugh, Mary Jo, Scheibel, Randall S, Shenton, Martha E, Sullivan, Danielle R, Taylor, Brian A, Troyanskaya, Maya, Velez, Carmen, Wade, Benjamin SC, Wang, Xin, Ware, Ashley L, Zafonte, Ross, Thompson, Paul M, and Wilde, Elisabeth A
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Allied Health and Rehabilitation Science ,Health Sciences ,Neurosciences ,Traumatic Brain Injury (TBI) ,Brain Disorders ,Biomedical Imaging ,Traumatic Head and Spine Injury ,Physical Injury - Accidents and Adverse Effects ,4.2 Evaluation of markers and technologies ,Mental health ,Neurological ,Brain Injuries ,Traumatic ,Humans ,Magnetic Resonance Imaging ,Military Personnel ,Stress Disorders ,Post-Traumatic ,Veterans ,Biological Psychology ,Clinical and Health Psychology ,Psychology ,Applied and Developmental Psychology ,Aging ,Rehabilitation ,Clinical Research ,Behavioral and Social Science ,Activities of Daily Living ,Aged ,Aged ,80 and over ,Executive Function ,Female ,Independent Living ,Male ,Middle Aged ,Neuropsychological Tests ,ROC Curve ,Regression Analysis ,Reproducibility of Results ,TBI ,traumatic brain injury ,military ,veteran ,blast injury ,ENIGMA ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Experimental Psychology ,Biomedical and clinical sciences ,Health sciences - Abstract
Traumatic brain injury (TBI) is common among military personnel and the civilian population and is often followed by a heterogeneous array of clinical, cognitive, behavioral, mood, and neuroimaging changes. Unlike many neurological disorders that have a characteristic abnormal central neurologic area(s) of abnormality pathognomonic to the disorder, a sufficient head impact may cause focal, multifocal, diffuse or combination of injury to the brain. This inconsistent presentation makes it difficult to establish or validate biological and imaging markers that could help improve diagnostic and prognostic accuracy in this patient population. The purpose of this manuscript is to describe both the challenges and opportunities when conducting military-relevant TBI research and introduce the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Military Brain Injury working group. ENIGMA is a worldwide consortium focused on improving replicability and analytical power through data sharing and collaboration. In this paper, we discuss challenges affecting efforts to aggregate data in this patient group. In addition, we highlight how "big data" approaches might be used to understand better the role that each of these variables might play in the imaging and functional phenotypes of TBI in Service member and Veteran populations, and how data may be used to examine important military specific issues such as return to duty, the late effects of combat-related injury, and alteration of the natural aging processes.
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- 2021
23. Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume
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Zheng, Yuanchao, Garrett, Melanie E, Sun, Delin, Clarke-Rubright, Emily K, Haswell, Courtney C, Maihofer, Adam X, Elman, Jeremy A, Franz, Carol E, Lyons, Michael J, Kremen, William S, Peverill, Matthew, Sambrook, Kelly, McLaughlin, Katie A, Davenport, Nicholas D, Disner, Seth, Sponheim, Scott R, Andrew, Elpiniki, Korgaonkar, Mayuresh, Bryant, Richard, Varkevisser, Tim, Geuze, Elbert, Coleman, Jonathan, Beckham, Jean C, Kimbrel, Nathan A, Sullivan, Danielle, Miller, Mark, Hayes, Jasmeet, Verfaellie, Mieke, Wolf, Erika, Salat, David, Spielberg, Jeffrey M, Milberg, William, McGlinchey, Regina, Dennis, Emily L, Thompson, Paul M, Medland, Sarah, Jahanshad, Neda, Nievergelt, Caroline M, Ashley-Koch, Allison E, Logue, Mark W, and Morey, Rajendra A
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Biological Psychology ,Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Psychology ,Anxiety Disorders ,Brain Disorders ,Mental Health ,Mental Illness ,Neurosciences ,Post-Traumatic Stress Disorder (PTSD) ,Prevention ,2.1 Biological and endogenous factors ,Good Health and Well Being ,Amygdala ,Brain ,Hippocampus ,Humans ,Magnetic Resonance Imaging ,Stress Disorders ,Post-Traumatic ,Clinical Sciences ,Public Health and Health Services ,Clinical sciences ,Biological psychology - Abstract
The volume of subcortical structures represents a reliable, quantitative, and objective phenotype that captures genetic effects, environmental effects such as trauma, and disease effects such as posttraumatic stress disorder (PTSD). Trauma and PTSD represent potent exposures that may interact with genetic markers to influence brain structure and function. Genetic variants, associated with subcortical volumes in two large normative discovery samples, were used to compute polygenic scores (PGS) for the volume of seven subcortical structures. These were applied to a target sample enriched for childhood trauma and PTSD. Subcortical volume PGS from the discovery sample were strongly associated in our trauma/PTSD enriched sample (n = 7580) with respective subcortical volumes of the hippocampus (p = 1.10 × 10-20), thalamus (p = 7.46 × 10-10), caudate (p = 1.97 × 10-18), putamen (p = 1.7 × 10-12), and nucleus accumbens (p = 1.99 × 10-7). We found a significant association between the hippocampal volume PGS and hippocampal volume in control subjects from our sample, but was absent in individuals with PTSD (GxE; (beta = -0.10, p = 0.027)). This significant GxE (PGS × PTSD) relationship persisted (p
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- 2021
24. The Relationship of Attention-Deficit/Hyperactivity Disorder With Posttraumatic Stress Disorder: A Two-Sample Mendelian Randomization and Population-Based Sibling Comparison Study
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Maihofer, Adam X., Choi, Karmel W., Coleman, Jonathan R.I., Daskalakis, Nikolaos P., Denckla, Christy A., Ketema, Elizabeth, Morey, Rajendra A., Polimanti, Renato, Ratanatharathorn, Andrew, Torres, Katy, Wingo, Aliza P., Zai, Clement C., Aiello, Allison E., Almli, Lynn M., Amstadter, Ananda B., Andersen, Soren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegovic, Esmina, Borglum, Anders D., Babic, Dragan, Bækvad-Hansen, Marie, Baker, Dewleen G., Beckham, Jean C., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Bradley, Bekh, Brashear, Meghan, Breen, Gerome, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Calabrese, Joseph R., Caldas-de-Almeida, Jose Miguel, Chen, Chia-Yen, Dale, Anders M., Dalvie, Shareefa, Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Disner, Seth G., Domschke, Katharina, Duncan, Laramie E., Kulenovic, Alma Dzubur, Erbes, Christopher R., Evans, Alexandra, Farrer, Lindsay A., Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gautam, Aarti, Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles F., Uka, Aferdita Goci, Gordon, Scott D., Guffanti, Guia, Hammamieh, Rasha, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M.J., Hougaard, David Michael, Jakovljevic, Miro, Jett, Marti, Johnson, Eric Otto, Jones, Ian, Jovanovic, Tanja, Qin, Xue-Jun, Karstoft, Karen-Inge, Kaufman, Milissa L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kranzler, Henry R., Kremen, William S., Lawford, Bruce R., Lebois, Lauren A.M., Lewis, Catrin, Liberzon, Israel, Linnstaedt, Sarah D., Logue, Mark W., Lori, Adriana, Lugonja, Bozo, Luykx, Jurjen J., Lyons, Michael J., Maples-Keller, Jessica L., Marmar, Charles, Martin, Nicholas G., Maurer, Douglas, Mavissakalian, Matig R., McFarlane, Alexander, McGlinchey, Regina E., McLaughlin, Katie A., McLean, Samuel A., Mehta, Divya, Mellor, Rebecca, Michopoulos, Vasiliki, Milberg, William, Miller, Mark W., Morris, Charles Phillip, Mors, Ole, Mortensen, Preben Bo, Nelson, Elliot C., Nordentoft, Merete, Norman, Sonya B., O’Donnell, Meaghan, Orcutt, Holly K., Panizzon, Matthew S., Peters, Edward S., Peterson, Alan L., Peverill, Matthew, Pietrzak, Robert H., Polusny, Melissa A., Rice, John P., Risbrough, Victoria B., Roberts, Andrea L., Rothbaum, Alex O., Rothbaum, Barbara O., Roy-Byrne, Peter, Ruggiero, Kenneth J., Rung, Ariane, Rutten, Bart P.F., Saccone, Nancy L., Sanchez, Sixto E., Schijven, Dick, Seedat, Soraya, Seligowski, Antonia V., Seng, Julia S., Sheerin, Christina M., Silove, Derrick, Smith, Alicia K., Smoller, Jordan W., Sponheim, Scott R., Stein, Dan J., Stevens, Jennifer S., Teicher, Martin H., Thompson, Wesley K., Trapido, Edward, Uddin, Monica, Ursano, Robert J., Luella van den Heuvel, Leigh, Van Hooff, Miranda, Vermetten, Eric, Vinkers, Christiaan, Voisey, Joanne, Wang, Yunpeng, Wang, Zhewu, Werge, Thomas, Williams, Michelle A., Williamson, Douglas E., Winternitz, Sherry, Wolf, Christiane, Wolf, Erika J., Yehuda, Rachel, Young, Keith A., Young, Ross McD., Zhao, Hongyu, Zoellner, Lori A., Haas, Magali, Lasseter, Heather, Provost, Allison C., Salem, Rany M., Sebat, Jonathan, Shaffer, Richard, Wu, Tianying, Ripke, Stephan, Daly, Mark J., Ressler, Kerry J., Koenen, Karestan C., Stein, Murray B., Nievergelt, Caroline M., Wendt, Frank R., Garcia-Argibay, Miguel, Cabrera-Mendoza, Brenda, Valdimarsdóttir, Unnur A., Nivard, Michel G., Larsson, Henrik, Mattheisen, Manuel, and Meier, Sandra M.
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- 2023
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25. Trauma history in veterans with bipolar disorder and its impact on suicidality
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Fijtman, Adam, Clausen, Ashley, Kauer-Sant’Anna, Marcia, and Morey, Rajendra
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- 2023
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26. Investigating the relationship between mild traumatic brain injury and Alzheimer’s disease and related dementias: a systematic review
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Clark, Emma, Faruque, Saurab, Mutebi, Cedric, Nagirimadugu, Newton V., Kim, Alyssa, Mahendran, Malavika, Sullo, Elaine, Morey, Rajendra, and Turner, II, Robert W.
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- 2022
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27. Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium
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Sun, Delin, Rakesh, Gopalkumar, Clarke-Rubright, Emily K., Haswell, Courtney C., Logue, Mark W., O’Leary, Erin N., Cotton, Andrew S., Xie, Hong, Dennis, Emily L., Jahanshad, Neda, Salminen, Lauren E., Thomopoulos, Sophia I., Rashid, Faisal M., Ching, Christopher R.K., Koch, Saskia B.J., Frijling, Jessie L., Nawijn, Laura, van Zuiden, Mirjam, Zhu, Xi, Suarez-Jimenez, Benjamin, Sierk, Anika, Walter, Henrik, Manthey, Antje, Stevens, Jennifer S., Fani, Negar, van Rooij, Sanne J.H., Stein, Murray B., Bomyea, Jessica, Koerte, Inga, Choi, Kyle, van der Werff, Steven J.A., Vermeiren, Robert R.J.M., Herzog, Julia I., Lebois, Lauren A.M., Baker, Justin T., Ressler, Kerry J., Olson, Elizabeth A., Straube, Thomas, Korgaonkar, Mayuresh S., Andrew, Elpiniki, Zhu, Ye, Li, Gen, Ipser, Jonathan, Hudson, Anna R., Peverill, Matthew, Sambrook, Kelly, Gordon, Evan, Baugh, Lee A., Forster, Gina, Simons, Raluca M., Simons, Jeffrey S., Magnotta, Vincent A., Maron-Katz, Adi, du Plessis, Stefan, Disner, Seth G., Davenport, Nicholas D., Grupe, Dan, Nitschke, Jack B., deRoon-Cassini, Terri A., Fitzgerald, Jacklynn, Krystal, John H., Levy, Ifat, Olff, Miranda, Veltman, Dick J., Wang, Li, Neria, Yuval, De Bellis, Michael D., Jovanovic, Tanja, Daniels, Judith K., Shenton, Martha E., van de Wee, Nic J.A., Schmahl, Christian, Kaufman, Milissa L., Rosso, Isabelle M., Sponheim, Scott R., Hofmann, David Bernd, Bryant, Richard A., Fercho, Kelene A., Stein, Dan J., Mueller, Sven C., Phan, K. Luan, McLaughlin, Katie A., Davidson, Richard J., Larson, Christine, May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Gomaa, Hassaan, Etkin, Amit, Seedat, Soraya, Harpaz-Rotem, Ilan, Liberzon, Israel, Wang, Xin, Thompson, Paul M., and Morey, Rajendra A.
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- 2022
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28. The impact of climate change on the prevalence of mental illness symptoms
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Monsour, Molly, Clarke-Rubright, Emily, Lieberman-Cribbin, Wil, Timmins, Christopher, Taioli, Emanuela, Schwartz, Rebecca M., Corley, Samantha S., Laucis, Anna M., and Morey, Rajendra A.
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- 2022
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29. Genomic Approaches to Posttraumatic Stress Disorder: The Psychiatric Genomic Consortium Initiative
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Nievergelt, Caroline M, Ashley-Koch, Allison E, Dalvie, Shareefa, Hauser, Michael A, Morey, Rajendra A, Smith, Alicia K, and Uddin, Monica
- Subjects
Biological Psychology ,Biological Sciences ,Genetics ,Psychology ,Mental Health ,Human Genome ,Anxiety Disorders ,Biotechnology ,Clinical Research ,Prevention ,Post-Traumatic Stress Disorder (PTSD) ,Brain Disorders ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Good Health and Well Being ,Epigenomics ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genomics ,Humans ,Stress Disorders ,Post-Traumatic ,Epigenetics ,Gene expression ,Imaging ,Psychiatric Genomics Consortium ,Systems biology ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Biological sciences ,Biomedical and clinical sciences - Abstract
Posttraumatic stress disorder (PTSD) after exposure to a traumatic event is a highly prevalent psychiatric disorder. Heritability estimates from twin studies as well as from recent molecular data (single nucleotide polymorphism-based heritability) indicate moderate to high heritability, yet robust genetic variants for PTSD have not yet been identified and the genetic architecture of this polygenic disorder remains largely unknown. To date, fewer than 10 large-scale genome-wide association studies of PTSD have been published, with findings that highlight the unique challenges for PTSD genomics, including a complex diagnostic entity with contingency of PTSD diagnosis on trauma exposure and the large genetic diversity of the study populations. The Psychiatric Genomics Consortium PTSD group has brought together more than 200 scientists with the goal to increase sample size for genome-wide association studies and other genomic analyses to sufficient numbers where robust discoveries of molecular signatures can be achieved. The sample currently includes more than 32,000 PTSD cases and 100,000 trauma-exposed control subjects, and collection is ongoing. The first results found a significant shared genetic risk of PTSD with other psychiatric disorders and sex-biased heritability estimates with higher heritability in female individuals compared with male individuals. This review describes the scope and current focus of the Psychiatric Genomics Consortium PTSD group and its expansion from the initial genome-wide association study group to nine working groups, including epigenetics, gene expression, imaging, and integrative systems biology. We further briefly outline recent findings and future directions of "omics"-based studies of PTSD, with the ultimate goal of elucidating the molecular architecture of this complex disorder to improve prevention and intervention strategies.
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- 2018
30. Effects of mTBI with loss of consciousness on neurobehavioral symptoms, depression, and insomnia in former collegiate and NFL football athletes
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Laskowitz, Sarah, primary, Baird, C. Lexi, additional, Huggins, Ashley, additional, Nadareishvili, Nino, additional, Bride, Jessica, additional, Wagner, H. Ryan, additional, Briggs, Melvin, additional, Morey, Rajendra A., additional, and Turner, Robert W., additional
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- 2024
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31. 229. Interactive Effects of Depression and Cumulative Head Impacts on Frontal Lobe Thickness in Elite Former Athletes
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Baird, Christine, primary, Menon, Riya, additional, Beakas, Jenna, additional, Nadareishvili, Nino, additional, Morey, Rajendra A., additional, and Turner, Robert W., additional
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- 2024
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32. 368. Static and Dynamic Functional Connectivity in Military Populations With Post-Traumatic Stress Disorder and Mild Traumatic Brain Injury
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Dwulit, Alexandra, primary, Sun, Delin, additional, Haswell, Courtney, additional, Hussain, Ahmed, additional, Dennis, Emily, additional, Wilde, Elisabeth, additional, Newsome, Mary, additional, Tate, David, additional, Walker, Bill, additional, Thompson, Paul M., additional, and Morey, Rajendra, additional
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- 2024
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33. Proximal threats promote enhanced acquisition and persistence of reactive fear-learning circuits
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Faul, Leonard, Stjepanoviać, Daniel, Stivers, Joshua M., Stewart, Gregory W., Graner, John L., Morey, Rajendra A., and LaBar, Kevin S.
- Published
- 2020
34. A network analysis of risk factors for suicide in Iraq/Afghanistan-era veterans
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Brancu, Mira, Beckham, Jean C., Calhoun, Patrick S., Dedert, Eric, Elbogen, Eric B., Fairbank, John A., Hurley, Robin A., Kilts, Jason D., Kimbrel, Nathan A., Kirby, Angela, Marx, Christine E., McDonald, Scott D., Moore, Scott D., Morey, Rajendra A., Naylor, Jennifer C., Rowland, Jared, Shura, Robert, Swinkels, Cindy, Szabo, Steven T., Taber, Katherine H., Tupler, Larry A., Van Voorhees, Elizabeth E., Yoash-Gantz, Ruth E., Graziano, Robert C., Aunon, Frances M., LoSavio, Stefanie T., and Dillon, Kirsten H.
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- 2021
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35. Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD consortium
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Dennis, Emily L., Disner, Seth G., Fani, Negar, Salminen, Lauren E., Logue, Mark, Clarke, Emily K., Haswell, Courtney C., Averill, Christopher L., Baugh, Lee A., Bomyea, Jessica, Bruce, Steven E., Cha, Jiook, Choi, Kyle, Davenport, Nicholas D., Densmore, Maria, du Plessis, Stefan, Forster, Gina L., Frijling, Jessie L., Gonenc, Atilla, Gruber, Staci, Grupe, Daniel W., Guenette, Jeffrey P., Hayes, Jasmeet, Hofmann, David, Ipser, Jonathan, Jovanovic, Tanja, Kelly, Sinead, Kennis, Mitzy, Kinzel, Philipp, Koch, Saskia B. J., Koerte, Inga, Koopowitz, Sheri, Korgaonkar, Mayuresh, Krystal, John, Lebois, Lauren A. M., Li, Gen, Magnotta, Vincent A., Manthey, Antje, May, Geoff J., Menefee, Deleene S., Nawijn, Laura, Nelson, Steven M., Neufeld, Richard W. J., Nitschke, Jack B., O’Doherty, Daniel, Peverill, Matthew, Ressler, Kerry J., Roos, Annerine, Sheridan, Margaret A., Sierk, Anika, Simmons, Alan, Simons, Raluca M., Simons, Jeffrey S., Stevens, Jennifer, Suarez-Jimenez, Benjamin, Sullivan, Danielle R., Théberge, Jean, Tran, Jana K., van den Heuvel, Leigh, van der Werff, Steven J. A., van Rooij, Sanne J. H., van Zuiden, Mirjam, Velez, Carmen, Verfaellie, Mieke, Vermeiren, Robert R. J. M., Wade, Benjamin S. C., Wager, Tor, Walter, Henrik, Winternitz, Sherry, Wolff, Jonathan, York, Gerald, Zhu, Ye, Zhu, Xi, Abdallah, Chadi G., Bryant, Richard, Daniels, Judith K, Davidson, Richard J, Fercho, Kelene A, Franz, Carol, Geuze, Elbert, Gordon, Evan M, Kaufman, Milissa L, Kremen, William S., Lagopoulos, Jim, Lanius, Ruth A, Lyons, Michael J., McCauley, Stephen R, McGlinchey, Regina, McLaughlin, Katie A., Milberg, William, Neria, Yuval, Olff, Miranda, Seedat, Soraya, Shenton, Martha, Sponheim, Scott R., Stein, Dan J., Stein, Murray B., Straube, Thomas, Tate, David F., van der Wee, Nic J. A., Veltman, Dick J., Wang, Li., Wilde, Elisabeth A., Thompson, Paul M., Kochunov, Peter, Jahanshad, Neda, and Morey, Rajendra A.
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- 2021
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36. Classification of PTSD and Non-PTSD Using Cortical Structural Measures in Machine Learning Analyses—Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup
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ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup, O’Leary, Brian, Shih, Chia-Hao, Chen, Tian, Xie, Hong, Cotton, Andrew S., Xu, Kevin S., Morey, Rajendra, Wang, Xin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mahmud, Mufti, editor, Vassanelli, Stefano, editor, Kaiser, M. Shamim, editor, and Zhong, Ning, editor
- Published
- 2020
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37. Amygdala Nuclei Volume and Shape in Military Veterans With Posttraumatic Stress Disorder
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Brancu, Mira, Beckham, Jean C., Calhoun, Patrick S., Dedert, Eric, Elbogen, Eric B., Fairbank, John A., Hurley, Robin A., Kilts, Jason D., Kimbrel, Nathan A., Kirby, Angela, Marx, Christine E., McDonald, Scott D., Moore, Scott D., Naylor, Jennifer C., Rowland, Jared, Swinkels, Cindy, Szabo, Steven T., Taber, Katherine H., Tupler, Larry A., van Voorhees, Elizabeth E., Yoash-Gantz, Ruth E., Morey, Rajendra A., Clarke, Emily K., Haswell, Courtney C., Phillips, Rachel D., Clausen, Ashley N., Mufford, Mary S., Saygin, Zeynep, Wagner, H. Ryan, and LaBar, Kevin S.
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- 2020
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38. ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide
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Thompson, Paul M, Andreassen, Ole A, Arias-Vasquez, Alejandro, Bearden, Carrie E, Boedhoe, Premika S, Brouwer, Rachel M, Buckner, Randy L, Buitelaar, Jan K, Bulayeva, Kazima B, Cannon, Dara M, Cohen, Ronald A, Conrod, Patricia J, Dale, Anders M, Deary, Ian J, Dennis, Emily L, de Reus, Marcel A, Desrivieres, Sylvane, Dima, Danai, Donohoe, Gary, Fisher, Simon E, Fouche, Jean-Paul, Francks, Clyde, Frangou, Sophia, Franke, Barbara, Ganjgahi, Habib, Garavan, Hugh, Glahn, David C, Grabe, Hans J, Guadalupe, Tulio, Gutman, Boris A, Hashimoto, Ryota, Hibar, Derrek P, Holland, Dominic, Hoogman, Martine, Pol, Hilleke E Hulshoff, Hosten, Norbert, Jahanshad, Neda, Kelly, Sinead, Kochunov, Peter, Kremen, William S, Lee, Phil H, Mackey, Scott, Martin, Nicholas G, Mazoyer, Bernard, McDonald, Colm, Medland, Sarah E, Morey, Rajendra A, Nichols, Thomas E, Paus, Tomas, Pausova, Zdenka, Schmaal, Lianne, Schumann, Gunter, Shen, Li, Sisodiya, Sanjay M, Smit, Dirk JA, Smoller, Jordan W, Stein, Dan J, Stein, Jason L, Toro, Roberto, Turner, Jessica A, van den Heuvel, Martijn P, van den Heuvel, Odile L, van Erp, Theo GM, van Rooij, Daan, Veltman, Dick J, Walter, Henrik, Wang, Yalin, Wardlaw, Joanna M, Whelan, Christopher D, Wright, Margaret J, Ye, Jieping, and Consortium, for the ENIGMA
- Subjects
Biomedical and Clinical Sciences ,Health Sciences ,Human Genome ,Genetics ,Neurosciences ,Brain Disorders ,Mental Illness ,Schizophrenia ,Mental Health ,Biomedical Imaging ,2.1 Biological and endogenous factors ,Generic health relevance ,Neurological ,Good Health and Well Being ,Brain Diseases ,Genome-Wide Association Study ,Humans ,Mental Disorders ,Multicenter Studies as Topic ,ENIGMA Consortium ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biomedical and clinical sciences ,Health sciences - Abstract
In this review, we discuss recent work by the ENIGMA Consortium (http://enigma.ini.usc.edu) - a global alliance of over 500 scientists spread across 200 institutions in 35 countries collectively analyzing brain imaging, clinical, and genetic data. Initially formed to detect genetic influences on brain measures, ENIGMA has grown to over 30 working groups studying 12 major brain diseases by pooling and comparing brain data. In some of the largest neuroimaging studies to date - of schizophrenia and major depression - ENIGMA has found replicable disease effects on the brain that are consistent worldwide, as well as factors that modulate disease effects. In partnership with other consortia including ADNI, CHARGE, IMAGEN and others1, ENIGMA's genomic screens - now numbering over 30,000 MRI scans - have revealed at least 8 genetic loci that affect brain volumes. Downstream of gene findings, ENIGMA has revealed how these individual variants - and genetic variants in general - may affect both the brain and risk for a range of diseases. The ENIGMA consortium is discovering factors that consistently affect brain structure and function that will serve as future predictors linking individual brain scans and genomic data. It is generating vast pools of normative data on brain measures - from tens of thousands of people - that may help detect deviations from normal development or aging in specific groups of subjects. We discuss challenges and opportunities in applying these predictors to individual subjects and new cohorts, as well as lessons we have learned in ENIGMA's efforts so far.
- Published
- 2017
39. A potential neuromodulation target for PTSD in Veterans derived from focal brain lesions
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Siddiqi, Shan, primary, Philip, Noah S., additional, Palm, Stephan, additional, Arulpragasam, Amanda, additional, Barredo, Jennifer, additional, Bouchard, Heather, additional, Ferguson, Michael, additional, Grafman, Jordan, additional, Morey, Rajendra, additional, Fox, Michael, additional, and Carreon, David, additional
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- 2024
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40. Intermittent theta burst stimulation and functional connectivity in people living with HIV/AIDS who smoke tobacco cigarettes: a preliminary pilot study
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Rakesh, Gopalkumar, primary, Adams, Thomas G., additional, Morey, Rajendra A., additional, Alcorn, Joseph L., additional, Khanal, Rebika, additional, Su, Amanda E., additional, Himelhoch, Seth S., additional, and Rush, Craig R., additional
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- 2024
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41. Smaller total and subregional cerebellar volumes in posttraumatic stress disorder:a mega-analysis by the ENIGMA-PGC PTSD workgroup
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Huggins, Ashley A., Baird, C. Lexi, Briggs, Melvin, Laskowitz, Sarah, Hussain, Ahmed, Fouda, Samar, Haswell, Courtney, Sun, Delin, Salminen, Lauren E., Jahanshad, Neda, Thomopoulos, Sophia I., Veltman, Dick J., Frijling, Jessie L., Olff, Miranda, van Zuiden, Mirjam, Koch, Saskia B.J., Nawjin, Laura, Wang, Li, Zhu, Ye, Li, Gen, Stein, Dan J., Ipser, Jonathan, Seedat, Soraya, du Plessis, Stefan, van den Heuvel, Leigh L., Suarez-Jimenez, Benjamin, Zhu, Xi, Kim, Yoojean, He, Xiaofu, Zilcha-Mano, Sigal, Lazarov, Amit, Neria, Yuval, Stevens, Jennifer S., Ressler, Kerry J., Jovanovic, Tanja, van Rooij, Sanne J.H., Fani, Negar, Hudson, Anna R., Mueller, Sven C., Sierk, Anika, Manthey, Antje, Walter, Henrik, Daniels, Judith K., Schmahl, Christian, Herzog, Julia I., Říha, Pavel, Rektor, Ivan, Lebois, Lauren A.M., Kaufman, Milissa L., Olson, Elizabeth A., Baker, Justin T., Rosso, Isabelle M., King, Anthony P., Liberzon, Isreal, Angstadt, Mike, Davenport, Nicholas D., Sponheim, Scott R., Disner, Seth G., Straube, Thomas, Hofmann, David, Qi, Rongfeng, Lu, Guang Ming, Baugh, Lee A., Forster, Gina L., Simons, Raluca M., Simons, Jeffrey S., Magnotta, Vincent A., Fercho, Kelene A., Maron-Katz, Adi, Etkin, Amit, Cotton, Andrew S., O’Leary, Erin N., Xie, Hong, Wang, Xin, Quidé, Yann, El-Hage, Wissam, Lissek, Shmuel, Berg, Hannah, Bruce, Steven, Cisler, Josh, Ross, Marisa, Herringa, Ryan J., Grupe, Daniel W., Nitschke, Jack B., Davidson, Richard J., Larson, Christine L., deRoon-Cassini, Terri A., Tomas, Carissa W., Fitzgerald, Jacklynn M., Blackford, Jennifer Urbano, Olatunji, Bunmi O., Kremen, William S., Lyons, Michael J., Franz, Carol E., Gordon, Evan M., May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Levy, Ifat, Harpaz-Rotem, Ilan, Krystal, John H., Dennis, Emily L., Tate, David F., Cifu, David X., Walker, William C., Wilde, Elizabeth A., Harding, Ian H., Kerestes, Rebecca, Thompson, Paul M., Morey, Rajendra, Huggins, Ashley A., Baird, C. Lexi, Briggs, Melvin, Laskowitz, Sarah, Hussain, Ahmed, Fouda, Samar, Haswell, Courtney, Sun, Delin, Salminen, Lauren E., Jahanshad, Neda, Thomopoulos, Sophia I., Veltman, Dick J., Frijling, Jessie L., Olff, Miranda, van Zuiden, Mirjam, Koch, Saskia B.J., Nawjin, Laura, Wang, Li, Zhu, Ye, Li, Gen, Stein, Dan J., Ipser, Jonathan, Seedat, Soraya, du Plessis, Stefan, van den Heuvel, Leigh L., Suarez-Jimenez, Benjamin, Zhu, Xi, Kim, Yoojean, He, Xiaofu, Zilcha-Mano, Sigal, Lazarov, Amit, Neria, Yuval, Stevens, Jennifer S., Ressler, Kerry J., Jovanovic, Tanja, van Rooij, Sanne J.H., Fani, Negar, Hudson, Anna R., Mueller, Sven C., Sierk, Anika, Manthey, Antje, Walter, Henrik, Daniels, Judith K., Schmahl, Christian, Herzog, Julia I., Říha, Pavel, Rektor, Ivan, Lebois, Lauren A.M., Kaufman, Milissa L., Olson, Elizabeth A., Baker, Justin T., Rosso, Isabelle M., King, Anthony P., Liberzon, Isreal, Angstadt, Mike, Davenport, Nicholas D., Sponheim, Scott R., Disner, Seth G., Straube, Thomas, Hofmann, David, Qi, Rongfeng, Lu, Guang Ming, Baugh, Lee A., Forster, Gina L., Simons, Raluca M., Simons, Jeffrey S., Magnotta, Vincent A., Fercho, Kelene A., Maron-Katz, Adi, Etkin, Amit, Cotton, Andrew S., O’Leary, Erin N., Xie, Hong, Wang, Xin, Quidé, Yann, El-Hage, Wissam, Lissek, Shmuel, Berg, Hannah, Bruce, Steven, Cisler, Josh, Ross, Marisa, Herringa, Ryan J., Grupe, Daniel W., Nitschke, Jack B., Davidson, Richard J., Larson, Christine L., deRoon-Cassini, Terri A., Tomas, Carissa W., Fitzgerald, Jacklynn M., Blackford, Jennifer Urbano, Olatunji, Bunmi O., Kremen, William S., Lyons, Michael J., Franz, Carol E., Gordon, Evan M., May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Levy, Ifat, Harpaz-Rotem, Ilan, Krystal, John H., Dennis, Emily L., Tate, David F., Cifu, David X., Walker, William C., Wilde, Elizabeth A., Harding, Ian H., Kerestes, Rebecca, Thompson, Paul M., and Morey, Rajendra
- Abstract
Although the cerebellum contributes to higher-order cognitive and emotional functions relevant to posttraumatic stress disorder (PTSD), prior research on cerebellar volume in PTSD is scant, particularly when considering subregions that differentially map on to motor, cognitive, and affective functions. In a sample of 4215 adults (PTSD n = 1642; Control n = 2573) across 40 sites from the ENIGMA-PGC PTSD working group, we employed a new state-of-the-art deep-learning based approach for automatic cerebellar parcellation to obtain volumetric estimates for the total cerebellum and 28 subregions. Linear mixed effects models controlling for age, gender, intracranial volume, and site were used to compare cerebellum volumes in PTSD compared to healthy controls (88% trauma-exposed). PTSD was associated with significant grey and white matter reductions of the cerebellum. Compared to controls, people with PTSD demonstrated smaller total cerebellum volume, as well as reduced volume in subregions primarily within the posterior lobe (lobule VIIB, crus II), vermis (VI, VIII), flocculonodular lobe (lobule X), and corpus medullare (all p -FDR < 0.05). Effects of PTSD on volume were consistent, and generally more robust, when examining symptom severity rather than diagnostic status. These findings implicate regionally specific cerebellar volumetric differences in the pathophysiology of PTSD. The cerebellum appears to play an important role in higher-order cognitive and emotional processes, far beyond its historical association with vestibulomotor function. Further examination of the cerebellum in trauma-related psychopathology will help to clarify how cerebellar structure and function may disrupt cognitive and affective processes at the center of translational models for PTSD.
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- 2024
42. Potential causal association between gut microbiome and posttraumatic stress disorder
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Cardiologie, Onderzoeksgroep 2, Brain, MGGZ, Hersenen-Medisch 1, Neurogenetica, Diagnostiek & Vroege Psychose Medisch, He, Qiang, Wang, Wenjing, Xu, Dingkang, Xiong, Yang, Tao, Chuanyuan, You, Chao, Ma, Lu, Ma, Junpeng, Nievergelt, Caroline M., Maihofer, Adam X., Klengel, Torsten, Atkinson, Elizabeth G., Chen, Chia Yen, Choi, Karmel W., Coleman, Jonathan R.I., Dalvie, Shareefa, Duncan, Laramie E., Logue, Mark W., Provost, Allison C., Ratanatharathorn, Andrew, Stein, Murray B., Torres, Katy, Aiello, Allison E., Almli, Lynn M., Amstadter, Ananda B., Andersen, Søren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegovic, Esmina, Babić, Dragan, Bækvad-Hansen, Marie, Baker, Dewleen G., Beckham, Jean C., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Børglum, Anders D., Bradley, Bekh, Brashear, Megan, Breen, Gerome, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Calabrese, Joseph R., Caldas-de-Almeida, José M., Dale, Anders M., Daly, Mark J., Daskalakis, Nikolaos P., Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Disner, Seth G., Domschke, Katharina, Dzubur-Kulenovic, Alma, Erbes, Christopher R., Evans, Alexandra, Farrer, Lindsay A., Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles, Uka, Aferdita Goci, Gordon, Scott D., Guffanti, Guia, Hammamieh, Rasha, Harnal, Supriya, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M.J., Hougaard, David Michael, Jakovljevic, Miro, Jett, Marti, Johnson, Eric Otto, Jones, Ian, Jovanovic, Tanja, Qin, Xue Jun, Junglen, Angela G., Karstoft, Karen Inge, Kaufman, Milissa L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kranzler, Henry R., Kremen, William S., Lawford, Bruce R., Lebois, Lauren A.M., Lewis, Catrin E., Linnstaedt, Sarah D., Lori, Adriana, Lugonja, Bozo, Luykx, Jurjen J., Lyons, Michael J., Maples-Keller, Jessica, Marmar, Charles, Martin, Alicia R., Martin, Nicholas G., Maurer, Douglas, Mavissakalian, Matig R., McFarlane, Alexander, McGlinchey, Regina E., McLaughlin, Katie A., McLean, Samuel A., McLeay, Sarah, Mehta, Divya, Milberg, William P., Miller, Mark W., Morey, Rajendra A., Morris, Charles Phillip, Mors, Ole, Mortensen, Preben B., Neale, Benjamin M., Nelson, Elliot C., Nordentoft, Merete, Norman, Sonya B., O’Donnell, Meaghan, Orcutt, Holly K., Panizzon, Matthew S., Peters, Edward S., Peterson, Alan L., Peverill, Matthew, Pietrzak, Robert H., Polusny, Melissa A., Rice, John P., Ripke, Stephan, Risbrough, Victoria B., Roberts, Andrea L., Rothbaum, Alex O., Rothbaum, Barbara O., Roy-Byrne, Peter, Ruggiero, Ken, Rung, Ariane, Rutten, Bart P.F., Saccone, Nancy L., Sanchez, Sixto E., Schijven, Dick, Seedat, Soraya, Seligowski, Antonia V., Seng, Julia S., Sheerin, Christina M., Silove, Derrick, Smith, Alicia K., Smoller, Jordan W., Solovieff, Nadia, Sponheim, Scott R., Stein, Dan J., Sumner, Jennifer A., Teicher, Martin H., Thompson, Wesley K., Trapido, Edward, Uddin, Monica, Ursano, Robert J., van den Heuvel, Leigh Luella, van Hooff, Miranda, Vermetten, Eric, Vinkers, Christiaan H., Voisey, Joanne, Wang, Yunpeng, Wang, Zhewu, Werge, Thomas, Williams, Michelle A., Williamson, Douglas E., Winternitz, Sherry, Wolf, Christiane, Wolf, Erika J., Wolff, Jonathan D., Yehuda, Rachel, Young, Keith A., Young, Ross Mc D., Zhao, Hongyu, Zoellner, Lori A., Liberzon, Israel, Ressler, Kerry J., Haas, Magali, Koenen, Karestan C., Cardiologie, Onderzoeksgroep 2, Brain, MGGZ, Hersenen-Medisch 1, Neurogenetica, Diagnostiek & Vroege Psychose Medisch, He, Qiang, Wang, Wenjing, Xu, Dingkang, Xiong, Yang, Tao, Chuanyuan, You, Chao, Ma, Lu, Ma, Junpeng, Nievergelt, Caroline M., Maihofer, Adam X., Klengel, Torsten, Atkinson, Elizabeth G., Chen, Chia Yen, Choi, Karmel W., Coleman, Jonathan R.I., Dalvie, Shareefa, Duncan, Laramie E., Logue, Mark W., Provost, Allison C., Ratanatharathorn, Andrew, Stein, Murray B., Torres, Katy, Aiello, Allison E., Almli, Lynn M., Amstadter, Ananda B., Andersen, Søren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegovic, Esmina, Babić, Dragan, Bækvad-Hansen, Marie, Baker, Dewleen G., Beckham, Jean C., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Børglum, Anders D., Bradley, Bekh, Brashear, Megan, Breen, Gerome, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Calabrese, Joseph R., Caldas-de-Almeida, José M., Dale, Anders M., Daly, Mark J., Daskalakis, Nikolaos P., Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Disner, Seth G., Domschke, Katharina, Dzubur-Kulenovic, Alma, Erbes, Christopher R., Evans, Alexandra, Farrer, Lindsay A., Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles, Uka, Aferdita Goci, Gordon, Scott D., Guffanti, Guia, Hammamieh, Rasha, Harnal, Supriya, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M.J., Hougaard, David Michael, Jakovljevic, Miro, Jett, Marti, Johnson, Eric Otto, Jones, Ian, Jovanovic, Tanja, Qin, Xue Jun, Junglen, Angela G., Karstoft, Karen Inge, Kaufman, Milissa L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kranzler, Henry R., Kremen, William S., Lawford, Bruce R., Lebois, Lauren A.M., Lewis, Catrin E., Linnstaedt, Sarah D., Lori, Adriana, Lugonja, Bozo, Luykx, Jurjen J., Lyons, Michael J., Maples-Keller, Jessica, Marmar, Charles, Martin, Alicia R., Martin, Nicholas G., Maurer, Douglas, Mavissakalian, Matig R., McFarlane, Alexander, McGlinchey, Regina E., McLaughlin, Katie A., McLean, Samuel A., McLeay, Sarah, Mehta, Divya, Milberg, William P., Miller, Mark W., Morey, Rajendra A., Morris, Charles Phillip, Mors, Ole, Mortensen, Preben B., Neale, Benjamin M., Nelson, Elliot C., Nordentoft, Merete, Norman, Sonya B., O’Donnell, Meaghan, Orcutt, Holly K., Panizzon, Matthew S., Peters, Edward S., Peterson, Alan L., Peverill, Matthew, Pietrzak, Robert H., Polusny, Melissa A., Rice, John P., Ripke, Stephan, Risbrough, Victoria B., Roberts, Andrea L., Rothbaum, Alex O., Rothbaum, Barbara O., Roy-Byrne, Peter, Ruggiero, Ken, Rung, Ariane, Rutten, Bart P.F., Saccone, Nancy L., Sanchez, Sixto E., Schijven, Dick, Seedat, Soraya, Seligowski, Antonia V., Seng, Julia S., Sheerin, Christina M., Silove, Derrick, Smith, Alicia K., Smoller, Jordan W., Solovieff, Nadia, Sponheim, Scott R., Stein, Dan J., Sumner, Jennifer A., Teicher, Martin H., Thompson, Wesley K., Trapido, Edward, Uddin, Monica, Ursano, Robert J., van den Heuvel, Leigh Luella, van Hooff, Miranda, Vermetten, Eric, Vinkers, Christiaan H., Voisey, Joanne, Wang, Yunpeng, Wang, Zhewu, Werge, Thomas, Williams, Michelle A., Williamson, Douglas E., Winternitz, Sherry, Wolf, Christiane, Wolf, Erika J., Wolff, Jonathan D., Yehuda, Rachel, Young, Keith A., Young, Ross Mc D., Zhao, Hongyu, Zoellner, Lori A., Liberzon, Israel, Ressler, Kerry J., Haas, Magali, and Koenen, Karestan C.
- Published
- 2024
43. Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium
- Author
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MGGZ, Brain, Suarez-Jimenez, Benjamin, Lazarov, Amit, Zhu, Xi, Zilcha-Mano, Sigal, Kim, Yoojean, Marino, Claire E., Rjabtsenkov, Pavel, Bavdekar, Shreya Y., Pine, Daniel S., Bar-Haim, Yair, Larson, Christine L., Huggins, Ashley A., Terri deRoon-Cassini, deRoon-Cassini, Tomas, Carissa, Fitzgerald, Jacklynn, Kennis, Mitzy, Varkevisser, Tim, Geuze, Elbert, Quidé, Yann, El Hage, Wissam, Wang, Xin, O'Leary, Erin N., Cotton, Andrew S., Xie, Hong, Shih, Chiahao, Disner, Seth G., Davenport, Nicholas D., Sponheim, Scott R., Koch, Saskia B.J., Frijling, Jessie L., Nawijn, Laura, van Zuiden, Mirjam, Olff, Miranda, Veltman, Dick J., Gordon, Evan M., May, Geoffery, Nelson, Steven M., Jia-Richards, Meilin, Neria, Yuval, Morey, Rajendra A., MGGZ, Brain, Suarez-Jimenez, Benjamin, Lazarov, Amit, Zhu, Xi, Zilcha-Mano, Sigal, Kim, Yoojean, Marino, Claire E., Rjabtsenkov, Pavel, Bavdekar, Shreya Y., Pine, Daniel S., Bar-Haim, Yair, Larson, Christine L., Huggins, Ashley A., Terri deRoon-Cassini, deRoon-Cassini, Tomas, Carissa, Fitzgerald, Jacklynn, Kennis, Mitzy, Varkevisser, Tim, Geuze, Elbert, Quidé, Yann, El Hage, Wissam, Wang, Xin, O'Leary, Erin N., Cotton, Andrew S., Xie, Hong, Shih, Chiahao, Disner, Seth G., Davenport, Nicholas D., Sponheim, Scott R., Koch, Saskia B.J., Frijling, Jessie L., Nawijn, Laura, van Zuiden, Mirjam, Olff, Miranda, Veltman, Dick J., Gordon, Evan M., May, Geoffery, Nelson, Steven M., Jia-Richards, Meilin, Neria, Yuval, and Morey, Rajendra A.
- Published
- 2024
44. The Psychiatric Genomics Consortium Posttraumatic Stress Disorder Workgroup: Posttraumatic Stress Disorder Enters the Age of Large-Scale Genomic Collaboration
- Author
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Logue, Mark W, Amstadter, Ananda B, Baker, Dewleen G, Duncan, Laramie, Koenen, Karestan C, Liberzon, Israel, Miller, Mark W, Morey, Rajendra A, Nievergelt, Caroline M, Ressler, Kerry J, Smith, Alicia K, Smoller, Jordan W, Stein, Murray B, Sumner, Jennifer A, and Uddin, Monica
- Subjects
Human Genome ,Post-Traumatic Stress Disorder (PTSD) ,Brain Disorders ,Anxiety Disorders ,Serious Mental Illness ,Schizophrenia ,Genetics ,Biotechnology ,Mental Health ,Clinical Research ,Behavioral and Social Science ,2.3 Psychological ,social and economic factors ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Good Health and Well Being ,Cooperative Behavior ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genomics ,Humans ,Psychiatric Status Rating Scales ,Stress Disorders ,Post-Traumatic ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
The development of posttraumatic stress disorder (PTSD) is influenced by genetic factors. Although there have been some replicated candidates, the identification of risk variants for PTSD has lagged behind genetic research of other psychiatric disorders such as schizophrenia, autism, and bipolar disorder. Psychiatric genetics has moved beyond examination of specific candidate genes in favor of the genome-wide association study (GWAS) strategy of very large numbers of samples, which allows for the discovery of previously unsuspected genes and molecular pathways. The successes of genetic studies of schizophrenia and bipolar disorder have been aided by the formation of a large-scale GWAS consortium: the Psychiatric Genomics Consortium (PGC). In contrast, only a handful of GWAS of PTSD have appeared in the literature to date. Here we describe the formation of a group dedicated to large-scale study of PTSD genetics: the PGC-PTSD. The PGC-PTSD faces challenges related to the contingency on trauma exposure and the large degree of ancestral genetic diversity within and across participating studies. Using the PGC analysis pipeline supplemented by analyses tailored to address these challenges, we anticipate that our first large-scale GWAS of PTSD will comprise over 10 000 cases and 30 000 trauma-exposed controls. Following in the footsteps of our PGC forerunners, this collaboration-of a scope that is unprecedented in the field of traumatic stress-will lead the search for replicable genetic associations and new insights into the biological underpinnings of PTSD.
- Published
- 2015
45. Pain Intensity and Pain Interference in Male and Female Iraq/Afghanistan-era Veterans
- Author
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Beckham, Jean C., Calhoun, Patrick S., Dedert, Eric, Fairbank, John A., Kilts, Jason D., Kimbrel, Nathan A., Kirby, Angela, Moore, Scott D., Tupler, Larry A., Hurley, Robin, McDonald, Scott D., Taber, Katherine H., Morey, Rajendra, Rowland, Jared, Swinkels, Cindy, Szabo, Steve, Van Voorhees, Elizabeth, Yoash-Gantz, Ruth, Curry, John D., Kelley, Michelle L., Kurtz, Erin, Shepherd-Banigan, Megan, Naylor, Jennifer C., Wagner, H. Ryan, Johnston, Cynthia, Elbogen, Eric E., Brancu, Mira, Marx, Christine E., and Strauss, Jennifer L.
- Published
- 2019
- Full Text
- View/download PDF
46. Concordance of genetic variation that increases risk for anxiety disorders and posttraumatic stress disorders and that influences their underlying neurocircuitry
- Author
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van der Merwe, Celia, Jahanshad, Neda, Cheung, Josh W., Mufford, Mary, Groenewold, Nynke A., Koen, Nastassja, Ramesar, Rajkumar, Dalvie, Shareefa, Knowles, James A., Hibar, Derrek P., Nievergelt, Caroline M., Koenen, Karestan C., Liberzon, Israel, Ressler, Kerry J., Medland, Sarah E., Morey, Rajendra A., Thompson, Paul M., and Stein, Dan J.
- Published
- 2019
- Full Text
- View/download PDF
47. Differential developmental trajectories of magnetic susceptibility in human brain gray and white matter over the lifespan
- Author
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Li, Wei, Wu, Bing, Batrachenko, Anastasia, Bancroft‐Wu, Vivian, Morey, Rajendra A, Shashi, Vandana, Langkammer, Christian, De Bellis, Michael D, Ropele, Stefan, Song, Allen W, and Liu, Chunlei
- Subjects
Biological Psychology ,Psychology ,Bioengineering ,Neurosciences ,Aging ,1.1 Normal biological development and functioning ,Neurological ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Brain ,Cerebral Palsy ,Child ,Child ,Preschool ,Female ,Gray Matter ,Human Development ,Humans ,Infant ,Magnetic Phenomena ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Models ,Neurological ,Retrospective Studies ,White Matter ,Young Adult ,quantitative susceptibility mapping ,brain development and aging ,myelination ,brain iron ,Cognitive Sciences ,Experimental Psychology ,Biological psychology ,Cognitive and computational psychology - Abstract
As indicated by several recent studies, magnetic susceptibility of the brain is influenced mainly by myelin in the white matter and by iron deposits in the deep nuclei. Myelination and iron deposition in the brain evolve both spatially and temporally. This evolution reflects an important characteristic of normal brain development and ageing. In this study, we assessed the changes of regional susceptibility in the human brain in vivo by examining the developmental and ageing process from 1 to 83 years of age. The evolution of magnetic susceptibility over this lifespan was found to display differential trajectories between the gray and the white matter. In both cortical and subcortical white matter, an initial decrease followed by a subsequent increase in magnetic susceptibility was observed, which could be fitted by a Poisson curve. In the gray matter, including the cortical gray matter and the iron-rich deep nuclei, magnetic susceptibility displayed a monotonic increase that can be described by an exponential growth. The rate of change varied according to functional and anatomical regions of the brain. For the brain nuclei, the age-related changes of susceptibility were in good agreement with the findings from R2* measurement. Our results suggest that magnetic susceptibility may provide valuable information regarding the spatial and temporal patterns of brain myelination and iron deposition during brain maturation and ageing.
- Published
- 2014
48. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods
- Author
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Yang, Jin, primary, Huggins, Ashley A., additional, Sun, Delin, additional, Baird, C. Lexi, additional, Haswell, Courtney C., additional, Frijling, Jessie L., additional, Olff, Miranda, additional, van Zuiden, Mirjam, additional, Koch, Saskia B. J., additional, Nawijn, Laura, additional, Veltman, Dick J., additional, Suarez-Jimenez, Benjamin, additional, Zhu, Xi, additional, Neria, Yuval, additional, Hudson, Anna R., additional, Mueller, Sven C., additional, Baker, Justin T., additional, Lebois, Lauren A. M., additional, Kaufman, Milissa L., additional, Qi, Rongfeng, additional, Lu, Guang Ming, additional, Říha, Pavel, additional, Rektor, Ivan, additional, Dennis, Emily L., additional, Ching, Christopher R. K., additional, Thomopoulos, Sophia I., additional, Salminen, Lauren E., additional, Jahanshad, Neda, additional, Thompson, Paul M., additional, Stein, Dan J., additional, Koopowitz, Sheri M., additional, Ipser, Jonathan C., additional, Seedat, Soraya, additional, du Plessis, Stefan, additional, van den Heuvel, Leigh L., additional, Wang, Li, additional, Zhu, Ye, additional, Li, Gen, additional, Sierk, Anika, additional, Manthey, Antje, additional, Walter, Henrik, additional, Daniels, Judith K., additional, Schmahl, Christian, additional, Herzog, Julia I., additional, Liberzon, Israel, additional, King, Anthony, additional, Angstadt, Mike, additional, Davenport, Nicholas D., additional, Sponheim, Scott R., additional, Disner, Seth G., additional, Straube, Thomas, additional, Hofmann, David, additional, Grupe, Daniel W., additional, Nitschke, Jack B., additional, Davidson, Richard J., additional, Larson, Christine L., additional, deRoon-Cassini, Terri A., additional, Blackford, Jennifer U., additional, Olatunji, Bunmi O., additional, Gordon, Evan M., additional, May, Geoffrey, additional, Nelson, Steven M., additional, Abdallah, Chadi G., additional, Levy, Ifat, additional, Harpaz-Rotem, Ilan, additional, Krystal, John H., additional, Morey, Rajendra A., additional, and Sotiras, Aristeidis, additional
- Published
- 2023
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49. The role of the dentate gyrus in stress-related disorders
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Koch, Saskia B. J., Morey, Rajendra A., and Roelofs, Karin
- Published
- 2020
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50. Behavioral and Health Outcomes Associated With Deployment and Nondeployment Acquisition of Traumatic Brain Injury in Iraq and Afghanistan Veterans
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Brancu, Mira, Beckham, Jean C., Calhoun, Patrick S., Dedert, Eric, Elbogen, Eric B., Fairbank, John A., Green, Kimberly T., Hurley, Robin A., Kilts, Jason D., Kimbrel, Nathan, Kirby, Angela, Marx, Christine E., McCarthy, Gregory, McDonald, Scott D., Miller-Mumford, Marinell, Moore, Scott D., Morey, Rajendra A., Naylor, Jennifer C., Pickett, Treven C., Runnals, Jennifer J., Swinkels, Cindy, Szabo, Steven T., Tupler, Larry A., Van Voorhees, Elizabeth E., Wagner, H. Ryan, Weiner, Richard D., Yoash-Gantz, Ruth E., Martindale, Sarah L., Epstein, Erica L., Taber, Katherine H., and Rowland, Jared A.
- Published
- 2018
- Full Text
- View/download PDF
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