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2. Quantifying brain development in the HEALthy Brain and Child Development (HBCD) Study: The magnetic resonance imaging and spectroscopy protocol

Author

Dean, Douglas C., III, Tisdall, M Dylan, Wisnowski, Jessica L., Feczko, Eric, Gagoski, Borjan, Alexander, Andrew L., Edden, Richard A.E., Gao, Wei, Hendrickson, Timothy J., Howell, Brittany R., Huang, Hao, Humphreys, Kathryn L., Riggins, Tracy, Sylvester, Chad M., Weldon, Kimberly B., Yacoub, Essa, Ahtam, Banu, Beck, Natacha, Banerjee, Suchandrima, Boroday, Sergiy, Caprihan, Arvind, Caron, Bryan, Carpenter, Samuel, Chang, Yulin, Chung, Ai Wern, Cieslak, Matthew, Clarke, William T., Dale, Anders, Das, Samir, Davies-Jenkins, Christopher W., Dufford, Alexander J., Evans, Alan C., Fesselier, Laetitia, Ganji, Sandeep K., Gilbert, Guillaume, Graham, Alice M., Gudmundson, Aaron T., Macgregor-Hannah, Maren, Harms, Michael P., Hilbert, Tom, Hui, Steve C.N., Irfanoglu, M. Okan, Kecskemeti, Steven, Kober, Tobias, Kuperman, Joshua M., Lamichhane, Bidhan, Landman, Bennett A., Lecour-Bourcher, Xavier, Lee, Erik G., Li, Xu, MacIntyre, Leigh, Madjar, Cecile, Manhard, Mary Kate, Mayer, Andrew R., Mehta, Kahini, Moore, Lucille A., Murali-Manohar, Saipavitra, Navarro, Cristian, Nebel, Mary Beth, Newman, Sharlene D., Newton, Allen T., Noeske, Ralph, Norton, Elizabeth S., Oeltzschner, Georg, Ongaro-Carcy, Regis, Ou, Xiawei, Ouyang, Minhui, Parrish, Todd B., Pekar, James J., Pengo, Thomas, Pierpaoli, Carlo, Poldrack, Russell A., Rajagopalan, Vidya, Rettmann, Dan W., Rioux, Pierre, Rosenberg, Jens T., Salo, Taylor, Satterthwaite, Theodore D., Scott, Lisa S., Shin, Eunkyung, Simegn, Gizeaddis, Simmons, W. Kyle, Song, Yulu, Tikalsky, Barry J., Tkach, Jean, van Zijl, Peter C.M., Vannest, Jennifer, Versluis, Maarten, Zhao, Yansong, Zöllner, Helge J., Fair, Damien A., Smyser, Christopher D., and Elison, Jed T.

Published
2024
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4. Blood pressure, executive function, and network connectivity in middle-aged adults at risk of dementia in late life

Author

Jenkins, Lisanne M, Kogan, Alexandr, Malinab, Matthew, Ingo, Carson, Sedaghat, Sanaz, Bryan, Nick R, Yaffe, Kristine, Parrish, Todd B, Nemeth, Alexander J, Lloyd-Jones, Donald M, Launer, Lenore J, Wang, Lei, and Sorond, Farzaneh

Subjects
Biological Psychology, Psychology, Basic Behavioral and Social Science, Acquired Cognitive Impairment, Brain Disorders, Behavioral and Social Science, Clinical Research, Aging, Neurosciences, Dementia, Neurological, Adolescent, Adult, Blood Pressure, Brain, Brain Mapping, Cognitive Dysfunction, Executive Function, Female, Humans, Longitudinal Studies, Male, Middle Aged, Neural Pathways, United States, White Matter, Young Adult, fMRI, resting-state connectivity, executive function, systolic blood pressure, white matter hyperintensities
Abstract

Midlife blood pressure is associated with structural brain changes, cognitive decline, and dementia in late life. However, the relationship between early adulthood blood pressure exposure, brain structure and function, and cognitive performance in midlife is not known. A better understanding of these relationships in the preclinical stage may advance our mechanistic understanding of vascular contributions to late-life cognitive decline and dementia and may provide early therapeutic targets. To identify resting-state functional connectivity of executive control networks (ECNs), a group independent components analysis was performed of functional MRI scans of 600 individuals from the Coronary Artery Risk Development in Young Adults longitudinal cohort study, with cumulative systolic blood pressure (cSBP) measured at nine visits over the preceding 30 y. Dual regression analysis investigated performance-related connectivity of ECNs in 578 individuals (mean age 55.5 ± 3.6 y, 323 female, 243 Black) with data from the Stroop color-word task of executive function. Greater connectivity of a left ECN to the bilateral anterior gyrus rectus, right posterior orbitofrontal cortex, and nucleus accumbens was associated with better executive control performance on the Stroop. Mediation analyses showed that while the relationship between cSBP and Stroop performance was mediated by white matter hyperintensities (WMH), resting-state connectivity of the ECN mediated the relationship between WMH and executive function. Increased connectivity of the left ECN to regions involved in reward processing appears to compensate for the deleterious effects of WMH on executive function in individuals across the burden of cumulative systolic blood pressure exposure in midlife.

Published
2021

5. Cervical spinal cord morphometrics in degenerative cervical myelopathy: quantification using semi-automated normalized technique and correlation with neurological dysfunctions

Author

Muhammad, Fauziyya, Weber, Kenneth A., Bédard, Sandrine, Haynes, Grace, Smith, Lonnie, Khan, Ali F., Hameed, Sanaa, Gray, Kathyrn, McGovern, Kathleen, Rohan, Michael, Ding, Lei, Van Hal, Michael, Dickson, Douglas, Tamimi, Mazin Al, Parrish, Todd, Dhaher, Yasin, and Smith, Zachary A.

Published
2024
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6. Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes

Author

Azcona, Emanuel A., Besson, Pierre, Wu, Yunan, Punjabi, Arjun, Martersteck, Adam, Dravid, Amil, Parrish, Todd B., Bandt, S. Kathleen, and Katsaggelos, Aggelos K.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Mathematics - Spectral Theory, Quantitative Biology - Neurons and Cognition
Abstract

We propose a mesh-based technique to aid in the classification of Alzheimer's disease dementia (ADD) using mesh representations of the cortex and subcortical structures. Deep learning methods for classification tasks that utilize structural neuroimaging often require extensive learning parameters to optimize. Frequently, these approaches for automated medical diagnosis also lack visual interpretability for areas in the brain involved in making a diagnosis. This work: (a) analyzes brain shape using surface information of the cortex and subcortical structures, (b) proposes a residual learning framework for state-of-the-art graph convolutional networks which offer a significant reduction in learnable parameters, and (c) offers visual interpretability of the network via class-specific gradient information that localizes important regions of interest in our inputs. With our proposed method leveraging the use of cortical and subcortical surface information, we outperform other machine learning methods with a 96.35% testing accuracy for the ADD vs. healthy control problem. We confirm the validity of our model by observing its performance in a 25-trial Monte Carlo cross-validation. The generated visualization maps in our study show correspondences with current knowledge regarding the structural localization of pathological changes in the brain associated to dementia of the Alzheimer's type., Comment: Accepted for the Shape in Medical Imaging (ShapeMI) workshop at MICCAI International Conference 2020

Published
2020
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7. Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks

Author

Punjabi, Arjun, Martersteck, Adam, Wang, Yanran, Parrish, Todd B., Katsaggelos, Aggelos K., and Initiative, the Alzheimer's Disease Neuroimaging

Subjects
Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition, Statistics - Machine Learning
Abstract

Automated methods for Alzheimer's disease (AD) classification have the potential for great clinical benefits and may provide insight for combating the disease. Machine learning, and more specifically deep neural networks, have been shown to have great efficacy in this domain. These algorithms often use neurological imaging data such as MRI and PET, but a comprehensive and balanced comparison of these modalities has not been performed. In order to accurately determine the relative strength of each imaging variant, this work performs a comparison study in the context of Alzheimer's dementia classification using the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. Furthermore, this work analyzes the benefits of using both modalities in a fusion setting and discusses how these data types may be leveraged in future AD studies using deep learning.

Published
2018
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13. HIV disease and diabetes interact to affect brain white matter hyperintensities and cognition

Author

Wu, Minjie, Fatukasi, Omalara, Yang, Shaolin, Alger, Jeffery, Barker, Peter B, Hetherington, Hoby, Kim, Tae, Levine, Andrew, Martin, Eileen, Munro, Cynthia A, Parrish, Todd, Ragin, Ann, Sacktor, Ned, Seaberg, Eric, and Becker, James T

Subjects
Neurosciences, HIV/AIDS, Aging, Infectious Diseases, Clinical Research, Diabetes, Metabolic and endocrine, Infection, Good Health and Well Being, Aged, Aged, 80 and over, Animals, Brain, Cognition Disorders, Diabetes Complications, HIV Infections, Humans, Incidence, Magnetic Resonance Imaging, Male, Middle Aged, White Matter, brain, cognition, diabetes, MRI, white matter hyperintensities, Neuropsychology Working Group of the Multicenter AIDS Cohort Study, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Virology
Abstract

BACKGROUND:Since the onset of combination antiretroviral therapy use, the incidence of HIV-associated dementia and of HIV encephalitis has fallen dramatically. The present study investigates the extent of white matter hyperintensities (WMHs) among individuals with HIV disease, and factors that predict their presence and their impact on psychomotor speed. METHODS:A total of 322 men participating in the Multicenter AIDS Cohort Study (185 HIV-infected, age: 57.5 ± 6.0) underwent MRI scans of the brain. T1-weighted magnetization-prepared rapid gradient-echo (MP-RAGE) and T2-weighted Fluid Attenuated Inversion Recovery (FLAIR) images were obtained and processed using an automated method for identifying and measuring WMHs. WMH burden was expressed as the log10 transformed percentage of total white matter. RESULTS:There were no significant associations between WMHs and HIV disease. However, the extent of WMHs was predicted by age more than 60 (β = 0.17), non-white race (β = 0.14), glomerular filtration rate (β = -0.11), and the presence of diabetes (β = 0.12). There were no interactions between HIV status and age (β = -0.03) or between age and diabetes (β = 0.07). However, the interaction between HIV infection and diabetes was significant (β = 0.26). The extent of WMHs was significantly associated with performance on measures of psychomotor speed (β = 0.15). CONCLUSION:In today's therapeutic environment, in HIV-infected and HIV seronegative individuals, those factors which affect the cerebrovasculature are the best predictors of WMHs. Diabetes has a specific impact among HIV-infected, but not uninfected, men, suggesting the need for more aggressive treatment even in the prediabetes state, especially as WMHs affect cognitive functions.

Published
2018

16. Generic acquisition protocol for quantitative MRI of the spinal cord

Author

Cohen-Adad, Julien, Alonso-Ortiz, Eva, Abramovic, Mihael, Arneitz, Carina, Atcheson, Nicole, Barlow, Laura, Barry, Robert L., Barth, Markus, Battiston, Marco, Büchel, Christian, Budde, Matthew, Callot, Virginie, Combes, Anna J. E., De Leener, Benjamin, Descoteaux, Maxime, de Sousa, Paulo Loureiro, Dostál, Marek, Doyon, Julien, Dvorak, Adam, Eippert, Falk, Epperson, Karla R., Epperson, Kevin S., Freund, Patrick, Finsterbusch, Jürgen, Foias, Alexandru, Fratini, Michela, Fukunaga, Issei, Wheeler-Kingshott, Claudia A. M. Gandini, Germani, Giancarlo, Gilbert, Guillaume, Giove, Federico, Gros, Charley, Grussu, Francesco, Hagiwara, Akifumi, Henry, Pierre-Gilles, Horák, Tomáš, Hori, Masaaki, Joers, James, Kamiya, Kouhei, Karbasforoushan, Haleh, Keřkovský, Miloš, Khatibi, Ali, Kim, Joo-Won, Kinany, Nawal, Kitzler, Hagen, Kolind, Shannon, Kong, Yazhuo, Kudlička, Petr, Kuntke, Paul, Kurniawan, Nyoman D., Kusmia, Slawomir, Labounek, René, Laganà, Maria Marcella, Laule, Cornelia, Law, Christine S., Lenglet, Christophe, Leutritz, Tobias, Liu, Yaou, Llufriu, Sara, Mackey, Sean, Martinez-Heras, Eloy, Mattera, Loan, Nestrasil, Igor, O’Grady, Kristin P., Papinutto, Nico, Papp, Daniel, Pareto, Deborah, Parrish, Todd B., Pichiecchio, Anna, Prados, Ferran, Rovira, Àlex, Ruitenberg, Marc J., Samson, Rebecca S., Savini, Giovanni, Seif, Maryam, Seifert, Alan C., Smith, Alex K., Smith, Seth A., Smith, Zachary A., Solana, Elisabeth, Suzuki, Yuichi, Tackley, George, Tinnermann, Alexandra, Valošek, Jan, Van De Ville, Dimitri, Yiannakas, Marios C., Weber, II, Kenneth A., Weiskopf, Nikolaus, Wise, Richard G., Wyss, Patrik O., and Xu, Junqian

Published
2021
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18. Symptom Variability and Early Symptom Regression in the MAPP Study: A Prospective Study of Urological Chronic Pelvic Pain Syndrome

Author

Stephens-Shields, Alisa J, Clemens, J Quentin, Jemielita, Thomas, Farrar, John, Sutcliffe, Siobhan, Hou, Xiaoling, Landis, J Richard, Hanno, Philip, Kirkali, Ziya, Kusek, John W, Lucia, M Scott, Moldwin, Robert M, Mullins, Chris, Pontari, Michel A, Klumpp, David J, Schaeffer, Anthony J, Apkarian, Apkar, Cella, David, Farmer, Melissa A, Fitzgerald, Colleen, Gershon, Richard, Griffith, James W, Heckman, Charles J, Jiang, Mingchen, Keefer, Laurie, Marko, Darlene S, Michniewicz, Jean, Parrish, Todd, Tu, Frank, Mayer, Emeran A, Rodríguez, Larissa V, Alger, Jeffry, Ashe-McNalley, Cody P, Ellingson, Ben, Heendeniya, Nuwanthi, Kilpatrick, Lisa, Kulbacki, Cara, Kutch, Jason, Labus, Jennifer S, Naliboff, Bruce D, Randal, Fornessa, Smith, Suzanne R, Kreder, Karl J, Bradley, Catherine S, Eno, Mary, Greiner, Kris, Luo, Yi, Lutgendorf, Susan K, O’Donnell, Michael A, Ziegler, Barbara, Clauw, Daniel J, As-Sanie, Suzie, Berry, Sandra, Grayhack, Clara, Halvorson, Megan E, Harris, Richard, Harte, Steve, Ichesco, Eric, Oldendorf, Ann, Scott, Katherine A, Williams, David A, Buchwald, Dedra, Afari, Niloofar, Krieger, John, Miller, Jane, Richey, Stephanie, Robertson, Kelly, Ross, Susan O, Spiro, Roberta, Sundsvold, TJ, Strachan, Eric, Yang, Claire C, Andriole, Gerald L, Lai, H Henry, Bristol, Rebecca L, Colditz, Graham, Deutsch, Georg, Gardner, Vivien C, Gereau, Robert W, Henderson, Jeffrey P, Hong, Barry A, Hooton, Thomas M, Ness, Timothy J, North, Carol S, Spitznagle, Theresa M, Anger, Jennifer, Freeman, Michael, Kim, Jayoung, Eilber, Karyn, Van Eyk, Jennifer, Yang, Wei, Funari, Vincent, Cha, Jeena, and Barrell, Ted

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Chronic Pain, Pain Research, Clinical Research, Urologic Diseases, Adult, Female, Humans, Male, Prospective Studies, Prostatitis, Symptom Assessment, Time Factors, MAPP Research Network, cystitis, epidemiologic research design, interstitial, pain, prostate, symptom assessment
Abstract

PurposeWe examined symptom variability in men and women with urological chronic pelvic pain syndrome. We describe symptom fluctuations as related to early symptom regression and its effect on estimated 1-year symptom change. We also describe a method to quantify patient specific symptom variability.Materials and methodsSymptoms were assessed biweekly in 424 subjects with urological chronic pelvic pain syndrome during 1 year. To evaluate the impact of early symptom regression subjects were classified as improved, no change or worse according to the rate of change using 1) all data, 2) excluding week 0 and 3) excluding weeks 0 and 2. Patient specific, time varying variability was calculated at each interval using a sliding window approach. Patients were classified as high, medium or low variability at each time and ultimately as high or low variability overall based on the variability for the majority of contacts.ResultsPrior to excluding early weeks to adjust for early symptom regression 25% to 38% and 5% to 6% of patients were classified as improved and worse, respectively. After adjustment the percent of patients who were improved or worse ranged from 15% to 25% and 6% to 9%, respectively. High and low variability phenotypes were each identified in 25% to 30% of participants.ConclusionsPatients with urological chronic pelvic pain syndrome show symptom variability. At study enrollment patients had worse symptoms on average, resulting in a regression effect that influenced the estimated proportion of those who were improved or worse. Prospective studies should include a run-in period to account for regression to the mean and other causes of early symptom regression. Further, symptom variability may be quantified and used to characterize longitudinal symptom profiles of urological chronic pelvic pain syndrome.

Published
2016

24. Epidural Electrical Stimulation for Stroke Rehabilitation: Results of the Prospective, Multicenter, Randomized, Single-Blinded Everest Trial.

Author

Levy, Robert M, Harvey, Richard L, Kissela, Brett M, Winstein, Carolee J, Lutsep, Helmi L, Parrish, Todd B, Cramer, Steven C, and Venkatesan, Lalit

Subjects
Motor Cortex, Humans, Electric Stimulation Therapy, Prospective Studies, Single-Blind Method, Adult, Aged, Middle Aged, Female, Male, Stroke Rehabilitation, Outcome Assessment, Health Care, cortical stimulation, hemiparesis, rehabilitation, stroke, Clinical Research, Clinical Trials and Supportive Activities, Physical Rehabilitation, Patient Safety, Neurosciences, Rehabilitation, Stroke, Brain Disorders, 6.7 Physical, Clinical Sciences, Cognitive Sciences
Abstract

BackgroundThis prospective, single-blinded, multicenter study assessed the safety and efficacy of electrical epidural motor cortex stimulation (EECS) in improving upper limb motor function of ischemic stroke patients with moderate to moderately severe hemiparesis.MethodsPatients ≥ 4 months poststroke were randomized 2:1 to an investigational (n = 104) or control (n = 60) group, respectively. Investigational patients were implanted (n = 94) with an epidural 6-contact lead perpendicular to the primary motor cortex and a pulse generator. Both groups underwent 6 weeks of rehabilitation, but EECS was delivered to investigational patients during rehabilitation. The primary efficacy endpoint (PE) was defined as attaining a minimum improvement of 4.5 points in the upper extremity Fugl-Meyer (UEFM) scale as well as 0.21 points in the Arm Motor Ability Test (AMAT) 4 weeks postrehabilitation. Follow-up assessments were performed 1, 4, 12, and 24 weeks postrehabilitation. Safety was evaluated by monitoring adverse events (AEs) that occurred between enrollment and the end of rehabilitation.ResultsPrimary intent-to-treat analysis showed no group differences at 4 weeks, with PE being met by 32% and 29% of investigational and control patients, respectively (P = .36). Repeated-measures secondary analyses revealed no significant treatment group differences in mean UEFM or AMAT scores. However, post hoc comparisons showed that a greater proportion of investigational (39%) than control (15%) patients maintained or achieved PE (P = .003) at 24 weeks postrehabilitation. Investigational group mean AMAT scores also improved significantly (P < .05) when compared to the control group at 24 weeks postrehabilitation. Post hoc analyses also showed that 69% (n = 9/13) of the investigational patients who elicited movement thresholds during stimulation testing met PE at 4 weeks, and mean UEFM and AMAT scores was also significantly higher (P < .05) in this subgroup at the 4-, 12-, and 24-week assessments when compared to the control group. Headache (19%), pain (13%), swelling (7%), and infection (7%) were the most commonly observed implant procedure-related AEs. Overall, there were 11 serious AEs in 9 investigational group patients (7 procedure related, 4 anesthesia related).ConclusionsThe primary analysis pertaining to efficacy of EECS during upper limb motor rehabilitation in chronic stroke patients was negative at 4 weeks postrehabilitation. A better treatment response was observed in a subset of patients eliciting stimulation induced upper limb movements during motor threshold assessments performed prior to each rehabilitation session. Post hoc comparisons indicated treatment effect differences at 24 weeks, with the control group showing significant decline in the combined primary outcome measure relative to the investigational group. These results have the potential to inform future chronic stroke rehabilitation trial design.

Published
2016

25. Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network

Author

Alger, Jeffry R, Ellingson, Benjamin M, Ashe-McNalley, Cody, Woodworth, Davis C, Labus, Jennifer S, Farmer, Melissa, Huang, Lejian, Apkarian, A Vania, Johnson, Kevin A, Mackey, Sean C, Ness, Timothy J, Deutsch, Georg, Harris, Richard E, Clauw, Daniel J, Glover, Gary H, Parrish, Todd B, Hollander, Jan den, Kusek, John W, Mullins, Chris, Mayer, Emeran A, and Investigators, the MAPP Research Network

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Neurosciences, Bioengineering, Chronic Pain, Biomedical Imaging, Pain Research, Urologic Diseases, Women's Health, Neurological, Good Health and Well Being, Adult, Biomedical Research, Brain, Cohort Studies, Diffusion Magnetic Resonance Imaging, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Neural Pathways, Oxygen, Pelvic Pain, Rest, Young Adult, Urologic chronic pelvic pain syndromes, Magnetic resonance imaging, Functional magnetic resonance imaging, Diffusion tensor imaging, DTI, TransMAPP, MAPP Research Network Investigators, Biological psychology, Clinical and health psychology
Abstract

The Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network is an ongoing multi-center collaborative research group established to conduct integrated studies in participants with urologic chronic pelvic pain syndrome (UCPPS). The goal of these investigations is to provide new insights into the etiology, natural history, clinical, demographic and behavioral characteristics, search for new and evaluate candidate biomarkers, systematically test for contributions of infectious agents to symptoms, and conduct animal studies to understand underlying mechanisms for UCPPS. Study participants were enrolled in a one-year observational study and evaluated through a multisite, collaborative neuroimaging study to evaluate the association between UCPPS and brain structure and function. 3D T1-weighted structural images, resting-state fMRI, and high angular resolution diffusion MRI were acquired in five participating MAPP Network sites using 8 separate MRI hardware and software configurations. We describe the neuroimaging methods and procedures used to scan participants, the challenges encountered in obtaining data from multiple sites with different equipment/software, and our efforts to minimize site-to-site variation.

Published
2016

26. Enrollment and Scientific Progress of the Multisite SuperAging Research Initiative

Author

Rogalski, Emily J, primary, Huentelman, Matthew J, additional, Roberts, Angela C, additional, McIlroy, William, additional, Van Ooteghem, Karen, additional, Finger, Elizabeth, additional, Lim, Andrew, additional, Okonkwo, Ozioma, additional, Goldstein, Felicia C, additional, Martersteck, Adam, additional, Parrish, Todd, additional, Scholtens, Denise, additional, Gill, Nathan Pruneau, additional, Tull, Mary Beth, additional, Pina, Yasmin, additional, Dorn, Megan, additional, Carolan, Padraig, additional, Zemlock, Debby, additional, Eldes, Fatima, additional, Amador, Gabriella, additional, Mather, Molly A, additional, Engelmeyer, Janessa, additional, Weintraub, Sandra, additional, Geula, Changiz, additional, Mesulam, Marsel, additional, and Maher, Amanda Cook, additional

Published
2023
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28. Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

Author

Cohen-Adad, Julien, Alonso-Ortiz, Eva, Abramovic, Mihael, Arneitz, Carina, Atcheson, Nicole, Barlow, Laura, Barry, Robert L., Barth, Markus, Battiston, Marco, Büchel, Christian, Budde, Matthew, Callot, Virginie, Combes, Anna J. E., De Leener, Benjamin, Descoteaux, Maxime, de Sousa, Paulo Loureiro, Dostál, Marek, Doyon, Julien, Dvorak, Adam, Eippert, Falk, Epperson, Karla R., Epperson, Kevin S., Freund, Patrick, Finsterbusch, Jürgen, Foias, Alexandru, Fratini, Michela, Fukunaga, Issei, Gandini Wheeler-Kingshott, Claudia A. M., Germani, Giancarlo, Gilbert, Guillaume, Giove, Federico, Gros, Charley, Grussu, Francesco, Hagiwara, Akifumi, Henry, Pierre-Gilles, Horák, Tomáš, Hori, Masaaki, Joers, James, Kamiya, Kouhei, Karbasforoushan, Haleh, Keřkovský, Miloš, Khatibi, Ali, Kim, Joo-Won, Kinany, Nawal, Kitzler, Hagen H., Kolind, Shannon, Kong, Yazhuo, Kudlička, Petr, Kuntke, Paul, Kurniawan, Nyoman D., Kusmia, Slawomir, Labounek, René, Laganà, Maria Marcella, Laule, Cornelia, Law, Christine S., Lenglet, Christophe, Leutritz, Tobias, Liu, Yaou, Llufriu, Sara, Mackey, Sean, Martinez-Heras, Eloy, Mattera, Loan, Nestrasil, Igor, O’Grady, Kristin P., Papinutto, Nico, Papp, Daniel, Pareto, Deborah, Parrish, Todd B., Pichiecchio, Anna, Prados, Ferran, Rovira, Àlex, Ruitenberg, Marc J., Samson, Rebecca S., Savini, Giovanni, Seif, Maryam, Seifert, Alan C., Smith, Alex K., Smith, Seth A., Smith, Zachary A., Solana, Elisabeth, Suzuki, Y., Tackley, George, Tinnermann, Alexandra, Valošek, Jan, Van De Ville, Dimitri, Yiannakas, Marios C., Weber II, Kenneth A., Weiskopf, Nikolaus, Wise, Richard G., Wyss, Patrik O., and Xu, Junqian

Published
2021
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30. Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

Author

Cohen-Adad, Julien, Alonso-Ortiz, Eva, Abramovic, Mihael, Arneitz, Carina, Atcheson, Nicole, Barlow, Laura, Barry, Robert L., Barth, Markus, Battiston, Marco, Büchel, Christian, Budde, Matthew, Callot, Virginie, Combes, Anna J. E., De Leener, Benjamin, Descoteaux, Maxime, de Sousa, Paulo Loureiro, Dostál, Marek, Doyon, Julien, Dvorak, Adam, Eippert, Falk, Epperson, Karla R., Epperson, Kevin S., Freund, Patrick, Finsterbusch, Jürgen, Foias, Alexandru, Fratini, Michela, Fukunaga, Issei, Gandini Wheeler-Kingshott, Claudia A. M., Germani, Giancarlo, Gilbert, Guillaume, Giove, Federico, Gros, Charley, Grussu, Francesco, Hagiwara, Akifumi, Henry, Pierre-Gilles, Horák, Tomáš, Hori, Masaaki, Joers, James, Kamiya, Kouhei, Karbasforoushan, Haleh, Keřkovský, Miloš, Khatibi, Ali, Kim, Joo-Won, Kinany, Nawal, Kitzler, Hagen H., Kolind, Shannon, Kong, Yazhuo, Kudlička, Petr, Kuntke, Paul, Kurniawan, Nyoman D., Kusmia, Slawomir, Labounek, René, Laganà, Maria Marcella, Laule, Cornelia, Law, Christine S., Lenglet, Christophe, Leutritz, Tobias, Liu, Yaou, Llufriu, Sara, Mackey, Sean, Martinez-Heras, Eloy, Mattera, Loan, Nestrasil, Igor, O’Grady, Kristin P., Papinutto, Nico, Papp, Daniel, Pareto, Deborah, Parrish, Todd B., Pichiecchio, Anna, Prados, Ferran, Rovira, Àlex, Ruitenberg, Marc J., Samson, Rebecca S., Savini, Giovanni, Seif, Maryam, Seifert, Alan C., Smith, Alex K., Smith, Seth A., Smith, Zachary A., Solana, Elisabeth, Suzuki, Y., Tackley, George, Tinnermann, Alexandra, Valošek, Jan, Van De Ville, Dimitri, Yiannakas, Marios C., Weber II, Kenneth A., Weiskopf, Nikolaus, Wise, Richard G., Wyss, Patrik O., and Xu, Junqian

Published
2021
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33. Relationship between Chronic Nonurological Associated Somatic Syndromes and Symptom Severity in Urological Chronic Pelvic Pain Syndromes: Baseline Evaluation of the MAPP Study

Author

Krieger, John N, Stephens, Alisa J, Landis, J Richard, Clemens, J Quentin, Kreder, Karl, Lai, H Henry, Afari, Niloofar, Rodríguez, Larissa, Schaeffer, Anthony, Mackey, Sean, Andriole, Gerald L, Williams, David A, Hanno, Philip, Kirkali, Ziya, Kusek, John W, Lucia, M Scott, Mullins, Chris, Pontari, Michel A, Klumpp, David J, Schaeffer, Anthony J, Apkarian, Apkar, Cella, David, Farmer, Melissa A, Fitzgerals, Colleen, Gershon, Richard, Griffith, James W, Heckman, Charles J, Jiang, Mingchen, Keeper, Laurie, Parrish, Todd, Tu, Frank, Marko, Darlene S, Mayer, Emeran A, Rodríguez, Larissa V, Alger, Jeffry, Ashe-McNalley, Cody P, Ellingson, Ben, Kilpatrick, Lisa, Kutch, Jason, Labus, Jennifer S, Naliboff, Bruce D, Heendeniya, Nuwanthi, Randal, Fornessa, Smith, Suzanne R, Kreder, Karl J, Bradley, Catherine S, Luo, Yi, Lutgendorf, Susan K, O'Donnell, Michael A, Eno, Mary, Greiner, Kris, Ziegler, Barbara, Clauw, Daniel J, As-Sanie, Suzie, Harris, Richard, Harte, Steve, Oldendorf, Ann, Berry, Sandra, Halvorson, Megan E, Ichesco, Eric, Scott, Katherine A, Buchwald, Dedra, Krieger, John, Miller, Jane, Strachan, Eric, Yang, Claire C, Richey, Stephanie, Ross, Susan O, Spiro, Roberta, Sundsvold, TJ, Bristol, Rebecca L, Gardner, Vivien C, Colditz, Graham, Deutsch, Georg, Gereau, Robert W, Henderson, Jeffrey P, Hone, Barry A, Hooton, Thomas M, Ness, Timothy J, North, Carol S, Sutcliffe, Siobhan, Spitznagle, Theresa M, Robinson, Nancy, Stephens, Alisa, Barrell, Ted, Hou, Xiaoling, Howard, Tamara, Wang, Yanli, and van Bokhoven, Andrie

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Depression, Urologic Diseases, Chronic Pain, Mental Health, Pain Research, Management of diseases and conditions, 7.1 Individual care needs, Chronic Disease, Cross-Sectional Studies, Cystitis, Interstitial, Female, Humans, Interdisciplinary Communication, Male, Pelvic Pain, Severity of Illness Index, Surveys and Questionnaires, Symptom Assessment, Syndrome, urinary bladder, cystitis, interstitial, male, female, questionnaires, MAPP Research Network
Abstract

PurposeWe used MAPP data to identify participants with urological chronic pelvic pain syndromes only or a chronic functional nonurological associated somatic syndrome in addition to urological chronic pelvic pain syndromes. We characterized these 2 subgroups and explored them using 3 criteria, including 1) MAPP eligibility criteria, 2) self-reported medical history or 3) RICE criteria.Materials and methodsSelf-reported cross-sectional data were collected on men and women with urological chronic pelvic pain syndromes, including predominant symptoms, symptom duration and severity, nonurological associated somatic syndrome symptoms and psychosocial factors.ResultsOf 424 participants with urological chronic pelvic pain syndromes 162 (38%) had a nonurological associated somatic syndrome, including irritable bowel syndrome in 93 (22%), fibromyalgia in 15 (4%), chronic fatigue syndrome in 13 (3%) and multiple syndromes in 41 (10%). Of 233 females 103 (44%) had a nonurological associated somatic syndrome compared to 59 of 191 males (31%) (p = 0.006). Participants with a nonurological associated somatic syndrome had more severe urological symptoms and more frequent depression and anxiety. Of 424 participants 228 (54%) met RICE criteria. Of 228 RICE positive participants 108 (47%) had a nonurological associated somatic syndrome compared to 54 of 203 RICE negative patients (28%) with a nonurological associated somatic syndrome (p < 0.001).ConclusionsNonurological associated somatic syndromes represent important clinical characteristics of urological chronic pelvic pain syndromes. Participants with a nonurological associated somatic syndrome have more severe symptoms, longer duration and higher rates of depression and anxiety. RICE positive patients are more likely to have a nonurological associated somatic syndrome and more severe symptoms. Because nonurological associated somatic syndromes are more common in women, future studies must account for this potential confounding factor in urological chronic pelvic pain syndromes.

Published
2015

34. Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study

Author

Archer, Derek B, Bricker, Justin T, Chu, Winston T, Burciu, Roxana G, McCracken, Johanna L, Lai, Song, Coombes, Stephen A, Fang, Ruogu, Barmpoutis, Angelos, Corcos, Daniel M, Kurani, Ajay S, Mitchell, Trina, Black, Mieniecia L, Herschel, Ellen, Simuni, Tanya, Parrish, Todd B, Comella, Cynthia, Xie, Tao, Seppi, Klaus, Bohnen, Nicolaas I, Müller, Martijn LTM, Albin, Roger L, Krismer, Florian, Du, Guangwei, Lewis, Mechelle M, Huang, Xuemei, Li, Hong, Pasternak, Ofer, McFarland, Nikolaus R, Okun, Michael S, and Vaillancourt, David E

Published
2019
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43. Effects of Ibudilast on MRI Measures in the Phase 2 SPRINT-MS Study

Author

Naismith, Robert T., Bermel, Robert A., Coffey, Christopher S., Goodman, Andrew D., Fedler, Janel, Kearney, Marianne, Klawiter, Eric C., Nakamura, Kunio, Narayanan, Sridar, Goebel, Christopher, Yankey, Jon, Klingner, Elizabeth, Fox, Robert J., Shinnar, Shlomo, Ontaneda, Daniel, Riley, Claire S., Perumal, Jai, Lava, Neil, Klawiter, Eric, Cohen, Bruce, Racke, Michael, Yadav, Vijayshree, Jubelt, Burk, WeinstockGutman, Bianca, Coyle, Patricia, Repovic, Pavle, Bashir, Khurram, Apperson, Michelle, Giesser, Barbara, Zabeti, Aram, Miravalle, Augusto, Lynch, Sharon, Delgado, Silvia, Suski, Valerie, Goodman, Andrew, Flores, Angela, DeWitt, Dana, Goldman, Myla, Moses, Harold, Naismith, Robert, Peng, Qi, Sakaie, Ken, Jambawalikar, Sachin, Dyke, Jonathan P., Kitajima, Hiroumi, Panych, Lawrence, Witzel, Thomas, Parrish, Todd, Layman, Rick, Yang, Xiangyu, Yee, Seonghwan, Shah, Dhaval, Button, Terry, Williams, Tony, Buonocore, Mike, Tanase, Costin, Ellingson, Ben, GaskillShipley, Mary, Morton, Ray, Brown, Mark, Lee, Phil, Pattany, Pradip, Hetherington, Hoby, Zhang, Jianhui, Varghese, Shijn, Lee, James, Mugler, John P., Price, Ron, Thomas, Betsy, Welch, Mary, Liff, Jeremy, Smith, Andrew, Ian, Rossman, Vargas, Wendy, Cioroiu, Comana, Nealon, Nancy, Vargas, Diana, Cook, Calli, Baharnoori, Moogeh, Reda, Haatem, Mateen, Farrah, Patel, Kevin, Kay-Stacey, Margaret, Kisanuki, Yasushi, Brett, Alldredge, Bogda, Christine, Mass, Michele, Kim, Edward, Duleep, Anuradha, Grosso, Megan, Bucello, Meg, McLinkskey, Nancy, Mayadev, Angeli, Peiqing, Qian, Meador, William, Richman, David, Dorsch, Andrew, Nygren, Kristin, Obeidat, Ahmed, Wall, Anastacia, Hammond, Nancy, Andersen, Heather, Mittal, Manoj, Tornes, Leticia, Lizarraga, Alexis, Zaydan, Islam, Hyland, Megan, Munoz, Shanan, Wright, Katy, Smith, Gordon, Bruen, Denise, Brenton, James Nicholas, Pawate, Siddharama, Sriram, Subramaniam, Oddis, Kerry, Scheid, Eileen, Thayer, William, Duodova, Mariana, Keller, Margaret, Scott, Jennifer, and Teshome, Mengesha

Published
2021
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45. A Pilot Trial Examining the Merits of Combining Amantadine and Repetitive Transcranial Magnetic Stimulation as an Intervention for Persons With Disordered Consciousness After TBI

Author

Bender Pape, Theresa L., Herrold, Amy A., Livengood, Sherri L., Guernon, Ann, Weaver, Jennifer A., Higgins, James P., Rosenow, Joshua M., Walsh, Elyse, Bhaumik, Runa, Pacheco, Marilyn, Patil, Vijaya K., Kletzel, Sandra, Conneely, Mark, Bhaumik, Dulal K., Mallinson, Trudy, and Parrish, Todd

Published
2020
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46. Predicting Functional Gains in a Stroke Trial

Author

Cramer, Steven C, Parrish, Todd B, Levy, Robert M, Stebbins, Glenn T, Ruland, Sean D, Lowry, David W, Trouard, Theodore P, Squire, Scott W, Weinand, Martin E, Savage, Cary R, Wilkinson, Steven B, Juranek, Jenifer, Leu, Szu-Yun, and Himes, David M

Subjects
Clinical Trials and Supportive Activities, Aging, Neurosciences, Behavioral and Social Science, Clinical Research, Brain Disorders, Stroke, Bioengineering, Physical Rehabilitation, Rehabilitation, Neurological, Adult, Aged, Humans, Magnetic Resonance Imaging, Middle Aged, Motor Activity, Motor Cortex, Multivariate Analysis, Recovery of Function, Stroke Rehabilitation, Transcranial Magnetic Stimulation, functional MRI, plasticity, recovery, stroke, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Neurology & Neurosurgery
Abstract

Background and purposeA number of therapies in development for patients with central nervous system injury aim to reduce disability by improving function of surviving brain elements rather than by salvaging tissue. The current study tested the hypothesis that, after adjusting for a number of clinical assessments, a measure of brain function at baseline would improve prediction of behavioral gains after treatment.MethodsTwenty-four patients with chronic stroke underwent baseline clinical and functional MRI assessments, received 6 weeks of rehabilitation therapy with or without investigational motor cortex stimulation, and then had repeat assessments. Thirteen baseline clinical/radiological measures were evaluated for ability to predict subsequent trial-related gains.ResultsAcross all patients, bivariate analyses found that greater trial-related functional gains were predicted by (1) smaller infarct volume, (2) greater baseline clinical status, and (3) lower degree of activation in stroke-affected motor cortex on baseline functional MRI. When these 3 variables were further assessed using multivariate linear regression modeling, only lower motor cortex activation and greater clinical status at baseline remained significant predictors. Note that lower baseline motor cortex activation was also associated with larger increases in motor cortex activation after treatment.ConclusionsLower motor cortex activity at baseline predicted greater behavioral gains after therapy, even after controlling for a number of clinical assessments. The boosts in cortical activity that paralleled behavioral gains suggest that in some patients, low baseline cortical activity represents underuse of surviving cortical resources. A measure of brain function might be important for optimal clinical decision-making in the context of a restorative intervention.

Published
2007

47. An assessment of brain function predicts functional gains in a clinical stroke trial

Author

Cramer, Steven C, Parrish, Todd B, Levy, Robert M, Stebbins, Glenn T, Ruland, Sean D, Lowry, David W, Trouard, Theodore P, Squire, Scott W, Weinand, Martin E, Wilkinson, Steven B, Juranek, Jenifer, Leu, Szu-Yun, and Himes, David M

Subjects
Clinical Sciences, Cardiorespiratory Medicine and Haematology, Neurosciences, Neurology & Neurosurgery
Published
2007

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