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10 results on '"Clarke-Rubright, Emily"'

1. Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium

Author

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.

Published
2022
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3. Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis

Author

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 B. J., Koerte, Inga K., Korgaonkar, Mayuresh S., Krystal, John H., Larson, Christine, Lebois, Lauren A. M., 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, Luan Phan, K., 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 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, Zhu, Ye, Zhu, Xi, Thompson, Paul M., Morey, Rajendra A., and Liberzon, Israel

Published
2021
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4. Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume

Author

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.

Published
2021
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6. Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results from the ENIGMA-PGC PTSD Consortium

Author

Sun, Delin, Rakesh, Gopalkumar, Clarke-Rubright, Emily K, Haswell, Courtney C, Logue, Mark, O'Leary, Erin N, Cotton, Andrew S, Xie, Hong, Dennis, Emily L, Jahanshad, Neda, Salminen, Lauren E, Thomopoulos, Sophia I, Rashid, Faisal, 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, Bomyea, Jessica, Koerte, Inga, Choi, Kyle, van de Werff, Steven J A, Vermeiren, Robert R J M, Herzog, Julia, 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, Peverill, Matthew, Sambrook, Kelly, Gordon, Evan, Baugh, Lee, Forster, Gina, Simons, Raluca, Simons, Jeffrey, Magnotta, Vincent, Maron-Katz, Adi, du Plessis, Stefan, Disner, Seth, Davenport, Nicholas, Grupe, Dan, Nitschke, Jack, 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, 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, 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, Morey, Rajendra A, and Clinical Psychology and Experimental Psychopathology

Abstract

BACKGROUND: Posttraumatic stress disorder (PTSD) is accompanied by disrupted cortical neuroanatomy. We investigated alteration in covariance of structural networks associated with PTSD in regions that demonstrate the case-control differences in cortical thickness (CT) and surface area (SA). METHODS: Neuroimaging and clinical data were aggregated from 29 research sites in >1,300 PTSD cases and >2,000 trauma-exposed controls (age 6.2-85.2 years) by the ENIGMA-PGC PTSD working group. Cortical regions in the network were rank-ordered by effect size of PTSD-related cortical differences in CT and SA. The top-n (n = 2 to 148) regions with the largest effect size for PTSD > non-PTSD formed hypertrophic networks, the largest effect size for PTSD < non-PTSD formed atrophic networks, and the smallest effect size of between-group differences formed stable networks. The mean structural covariance (SC) of a given n-region network was the average of all positive pairwise correlations and was compared to the mean SC of 5,000 randomly generated n-region networks. RESULTS: Patients with PTSD, relative to non-PTSD controls, exhibited lower mean SC in CT-based and SA-based atrophic networks. Comorbid depression, sex and age modulated covariance differences of PTSD-related structural networks. CONCLUSIONS: Covariance of structural networks based on CT and cortical SA are affected by PTSD and further modulated by comorbid depression, sex, and age. The structural covariance networks that are perturbed in PTSD comport with converging evidence from resting state functional connectivity networks and networks impacted by inflammatory processes, and stress hormones in PTSD.

Published
2022

8. The role of trauma, social support, and demography on veteran resilience.

Author

Rakesh, Gopalkumar, Clausen, Ashley N., Buckley, Mary Nicole, Clarke-Rubright, Emily, Fairbank, John A., Wagner, Henry Ryan, and Morey, Rajendra A.

Subjects
SOCIAL support, POST-traumatic stress disorder, STRUCTURAL equation modeling, PSYCHOLOGICAL resilience, LATENT variables
Abstract

Copyright of European Journal of Psychotraumatology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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9. 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.

Author

Sämann, Philipp G., Iglesias, Juan Eugenio, Gutman, Boris, Grotegerd, Dominik, Leenings, Ramona, Flint, Claas, Dannlowski, Udo, Clarke‐Rubright, Emily K., Morey, Rajendra A., van Erp, Theo G.M., Whelan, Christopher D., Han, Laura K. M., van Velzen, Laura S., Cao, Bo, Augustinack, Jean C., Thompson, Paul M., Jahanshad, Neda, and Schmaal, Lianne

Subjects
QUALITY control, HIPPOCAMPUS (Brain), BRAIN imaging, POST-traumatic stress disorder, NEUROLOGICAL disorders, AFFECTIVE disorders
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. [ABSTRACT FROM AUTHOR]

Published
2022
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10. Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohorts.

Author

Campos AI, Van Velzen LS, Veltman DJ, Pozzi E, Ambrogi S, Ballard ED, Banaj N, Başgöze Z, Bellow S, Benedetti F, Bollettini I, Brosch K, Canales-Rodríguez EJ, Clarke-Rubright EK, Colic L, Connolly CG, Courtet P, Cullen KR, Dannlowski U, Dauvermann MR, Davey CG, Deverdun J, Dohm K, Erwin-Grabner T, Goya-Maldonado R, Fani N, Fortea L, Fuentes-Claramonte P, Gonul AS, Gotlib IH, Grotegerd D, Harris MA, Harrison BJ, Haswell CC, Hawkins EL, Hill D, Hirano Y, Ho TC, Jollant F, Jovanovic T, Kircher T, Klimes-Dougan B, le Bars E, Lochner C, McIntosh AM, Meinert S, Mekawi Y, Melloni E, Mitchell P, Morey RA, Nakagawa A, Nenadić I, Olié E, Pereira F, Phillips RD, Piras F, Poletti S, Pomarol-Clotet E, Radua J, Ressler KJ, Roberts G, Rodriguez-Cano E, Sacchet MD, Salvador R, Sandu AL, Shimizu E, Singh A, Spalletta G, Steele JD, Stein DJ, Stein F, Stevens JS, Teresi GI, Uyar-Demir A, van der Wee NJ, van der Werff SJ, van Rooij SJH, Vecchio D, Verdolini N, Vieta E, Waiter GD, Whalley H, Whittle SL, Yang TT, Zarate CA, Thompson PM, Jahanshad N, van Harmelen AL, Blumberg HP, Schmaal L, and Rentería ME

Subjects
Humans, Reproducibility of Results, Retrospective Studies, Suicidal Ideation, Risk Assessment, Depressive Disorder, Major diagnosis
Abstract

Objective: A major limitation of current suicide research is the lack of power to identify robust correlates of suicidal thoughts or behavior. Variation in suicide risk assessment instruments used across cohorts may represent a limitation to pooling data in international consortia., Method: Here, we examine this issue through two approaches: (a) an extensive literature search on the reliability and concurrent validity of the most commonly used instruments and (b) by pooling data (N ∼ 6,000 participants) from cohorts from the Enhancing NeuroImaging Genetics Through Meta-Analysis (ENIGMA) Major Depressive Disorder and ENIGMA-Suicidal Thoughts and Behaviour working groups, to assess the concurrent validity of instruments currently used for assessing suicidal thoughts or behavior., Results: We observed moderate-to-high correlations between measures, consistent with the wide range (κ range: 0.15-0.97; r range: 0.21-0.94) reported in the literature. Two common multi-item instruments, the Columbia Suicide Severity Rating Scale and the Beck Scale for Suicidal Ideation were highly correlated with each other (r = 0.83). Sensitivity analyses identified sources of heterogeneity such as the time frame of the instrument and whether it relies on self-report or a clinical interview. Finally, construct-specific analyses suggest that suicide ideation items from common psychiatric questionnaires are most concordant with the suicide ideation construct of multi-item instruments., Conclusions: Our findings suggest that multi-item instruments provide valuable information on different aspects of suicidal thoughts or behavior but share a modest core factor with single suicidal ideation items. Retrospective, multisite collaborations including distinct instruments should be feasible provided they harmonize across instruments or focus on specific constructs of suicidality. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Published
2023
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