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2. Corticospinal Tract Lesion Load Originating From Both Ventral Premotor and Primary Motor Cortices Are Associated With Post-stroke Motor Severity

Author

Ito, Kaori L, Kim, Bokkyu, Liu, Jingchun, Soekadar, Surjo R, Winstein, Carolee, Yu, Chunshui, Cramer, Steven C, Schweighofer, Nicolas, and Liew, Sook-Lei

Subjects
Biomedical and Clinical Sciences, Neurosciences, Stroke, Rehabilitation, Brain Disorders, Humans, Motor Cortex, Pyramidal Tracts, Recovery of Function, Retrospective Studies, corticospinal tract, stroke, Fugl-Meyer, motor, ventral premotor cortex, M1, Clinical Sciences, Cognitive Sciences
Abstract

Lesion load of the corticospinal tract (CST-LL), a measure of overlap between a stroke lesion and the CST, is one of the strongest predictors of motor outcomes following stroke. CST-LL is typically calculated by using a probabilistic map of the CST originating from the primary motor cortex (M1). However, higher order motor areas also have projections that contribute to the CST and motor control. In this retrospective study, we examined whether evaluating CST-LL from additional motor origins is more strongly associated with post-stroke motor severity than using CST-LL originating from M1 only. We found that lesion load to both the ventral premotor (PMv) cortex and M1 were more strongly related to stroke motor severity indexed by Fugl-Meyer Assessment cut-off scores than CST-LL of M1 alone, suggesting that higher order motor regions add clinical relevance to motor impairment.

Published
2022

3. The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

Author

Liew, Sook‐Lei, Zavaliangos‐Petropulu, Artemis, Jahanshad, Neda, Lang, Catherine E, Hayward, Kathryn S, Lohse, Keith R, Juliano, Julia M, Assogna, Francesca, Baugh, Lee A, Bhattacharya, Anup K, Bigjahan, Bavrina, Borich, Michael R, Boyd, Lara A, Brodtmann, Amy, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Conforto, Adriana B, Craddock, R Cameron, Dimyan, Michael A, Dula, Adrienne N, Ermer, Elsa, Etherton, Mark R, Fercho, Kelene A, Gregory, Chris M, Hadidchi, Shahram, Holguin, Jess A, Hwang, Darryl H, Jung, Simon, Kautz, Steven A, Khlif, Mohamed Salah, Khoshab, Nima, Kim, Bokkyu, Kim, Hosung, Kuceyeski, Amy, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Piras, Fabrizio, Ramos‐Murguialday, Ander, Richard, Geneviève, Roberts, Pamela, Robertson, Andrew D, Rondina, Jane M, Rost, Natalia S, Sanossian, Nerses, Schweighofer, Nicolas, Seo, Na Jin, Shiroishi, Mark S, Soekadar, Surjo R, Spalletta, Gianfranco, Stinear, Cathy M, Suri, Anisha, Tang, Wai Kwong W, Thielman, Gregory T, Vecchio, Daniela, Villringer, Arno, Ward, Nick S, Werden, Emilio, Westlye, Lars T, Winstein, Carolee, Wittenberg, George F, Wong, Kristin A, Yu, Chunshui, Cramer, Steven C, and Thompson, Paul M

Subjects
Stroke, Brain Disorders, Biomedical Imaging, Neurosciences, Behavioral and Social Science, Humans, Magnetic Resonance Imaging, Multicenter Studies as Topic, Neuroimaging, Stroke Rehabilitation, big data, lesions, MRI, neuroinformatics, stroke, Cognitive Sciences, Experimental Psychology
Abstract

The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided.

Published
2022

4. Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide

Author

Liew, Sook-Lei, Zavaliangos-Petropulu, Artemis, Schweighofer, Nicolas, Jahanshad, Neda, Lang, Catherine E, Lohse, Keith R, Banaj, Nerisa, Barisano, Giuseppe, Baugh, Lee A, Bhattacharya, Anup K, Bigjahan, Bavrina, Borich, Michael R, Boyd, Lara A, Brodtmann, Amy, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Charalambous, Charalambos C, Ciullo, Valentina, Conforto, Adriana B, Craddock, Richard C, Dula, Adrienne N, Egorova, Natalia, Feng, Wuwei, Fercho, Kelene A, Gregory, Chris M, Hanlon, Colleen A, Hayward, Kathryn S, Holguin, Jess A, Hordacre, Brenton, Hwang, Darryl H, Kautz, Steven A, Khlif, Mohamed Salah, Kim, Bokkyu, Kim, Hosung, Kuceyeski, Amy, Lo, Bethany, Liu, Jingchun, Lin, David, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Nordvik, Jan Egil, Petoe, Matthew A, Piras, Fabrizio, Raju, Sharmila, Ramos-Murguialday, Ander, Revill, Kate P, Roberts, Pamela, Robertson, Andrew D, Schambra, Heidi M, Seo, Na Jin, Shiroishi, Mark S, Soekadar, Surjo R, Spalletta, Gianfranco, Stinear, Cathy M, Suri, Anisha, Tang, Wai Kwong, Thielman, Gregory T, Thijs, Vincent N, Vecchio, Daniela, Ward, Nick S, Westlye, Lars T, Winstein, Carolee J, Wittenberg, George F, Wong, Kristin A, Yu, Chunshui, Wolf, Steven L, Cramer, Steven C, Thompson, Paul M, Baugh, Lee, Gallaguet, Adrià Bermudo, Bhattacharya, Anup, Borich, Michael, Boyd, Lara, Brown, Truman, Buetefisch, Cathrin, Byblow, Winston, Cassidy, Jessica, Charalambous, Charalambos, Cloutier, Alison, Cole, James, Conforto, Adriana, Craddock, Richard, Cramer, Steven, Aguayo, Rosalia Dacosta, DiCarlo, Julie, Dimyan, Michael, Domin, Martin, Donnellly, Miranda, Dula, Adrienne, Edwardson, Matthew, and Ermer, Elsa

Subjects
Biological Psychology, Psychology, Rehabilitation, Stroke, Brain Disorders, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, stroke, rehabilitation, sensorimotor behaviour, MRI, subcortical volumes, ENIGMA Stroke Recovery Working Group, Clinical sciences, Biological psychology
Abstract

Up to two-thirds of stroke survivors experience persistent sensorimotor impairments. Recovery relies on the integrity of spared brain areas to compensate for damaged tissue. Deep grey matter structures play a critical role in the control and regulation of sensorimotor circuits. The goal of this work is to identify associations between volumes of spared subcortical nuclei and sensorimotor behaviour at different timepoints after stroke. We pooled high-resolution T1-weighted MRI brain scans and behavioural data in 828 individuals with unilateral stroke from 28 cohorts worldwide. Cross-sectional analyses using linear mixed-effects models related post-stroke sensorimotor behaviour to non-lesioned subcortical volumes (Bonferroni-corrected, P

Published
2021

6. A large, open source dataset of stroke anatomical brain images and manual lesion segmentations.

Author

Liew, Sook-Lei, Anglin, Julia M, Banks, Nick W, Sondag, Matt, Ito, Kaori L, Kim, Hosung, Chan, Jennifer, Ito, Joyce, Jung, Connie, Khoshab, Nima, Lefebvre, Stephanie, Nakamura, William, Saldana, David, Schmiesing, Allie, Tran, Cathy, Vo, Danny, Ard, Tyler, Heydari, Panthea, Kim, Bokkyu, Aziz-Zadeh, Lisa, Cramer, Steven C, Liu, Jingchun, Soekadar, Surjo, Nordvik, Jan-Egil, Westlye, Lars T, Wang, Junping, Winstein, Carolee, Yu, Chunshui, Ai, Lei, Koo, Bonhwang, Craddock, R Cameron, Milham, Michael, Lakich, Matthew, Pienta, Amy, and Stroud, Alison

Subjects
Brain, Humans, Magnetic Resonance Imaging, Algorithms, Adult, Stroke, Neuroimaging, Rehabilitation, Neurosciences, Brain Disorders, Bioengineering
Abstract

Stroke is the leading cause of adult disability worldwide, with up to two-thirds of individuals experiencing long-term disabilities. Large-scale neuroimaging studies have shown promise in identifying robust biomarkers (e.g., measures of brain structure) of long-term stroke recovery following rehabilitation. However, analyzing large rehabilitation-related datasets is problematic due to barriers in accurate stroke lesion segmentation. Manually-traced lesions are currently the gold standard for lesion segmentation on T1-weighted MRIs, but are labor intensive and require anatomical expertise. While algorithms have been developed to automate this process, the results often lack accuracy. Newer algorithms that employ machine-learning techniques are promising, yet these require large training datasets to optimize performance. Here we present ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata. This large, diverse dataset can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods. We hope ATLAS release 1.1 will be a useful resource to assess and improve the accuracy of current lesion segmentation methods.

Published
2018

12. Corpus Callosal Microstructure Predicts Bimanual Motor Performance in Chronic Stroke Survivors: a Preliminary Cross-Sectional Study.

Author

Varghese, Rini, Chang, Brianna, Kim, Bokkyu, Liew, Sook-Lei, Schweighofer, Nicolas, and Winstein, Carolee J.

Subjects
STATISTICS, KRUSKAL-Wallis Test, CROSS-sectional method, CONVALESCENCE, ONE-way analysis of variance, BEHAVIOR, MEDICAL protocols, AGENESIS of corpus callosum, STROKE patients, DESCRIPTIVE statistics, RESEARCH funding, DATA analysis, MOTOR ability
Abstract

Microstructural changes in the corpus callosum (CC) are associated with more severe motor impairment in the paretic hand, poor recovery, and general disability. The purpose of this study was to determine if CC microstructure predicts bimanual motor performance in chronic stroke survivors. We examined the relationship between the fractional anisotropy (FA) across the CC, in both the sensorimotor and non-sensorimotor regions, and movement times for two self-initiated and self-paced bimanual tasks in 41 chronic stroke survivors. Using publicly available control datasets (n = 52), matched closely for imaging acquisition parameters, we also explored the effect of stroke and age on callosal microstructure. In mild-to-moderate chronic stroke survivors with relatively localized lesions to the motor areas, lower callosal FA values, suggestive of a more disorganized microstructure, were associated with slower bimanual performance. Associations were strongest for the primary motor fibers (b = −2.19 ± 1.03, p =.035), followed closely by premotor/supplementary motor (b = −2.07 ± 1.07, p =.041) and prefrontal (b = −1.92 ± 0.97, p =.05) fibers of the callosum. Secondary analysis revealed that compared to neurologically age-similar adults, chronic stroke survivors exhibited significantly lower mean FA in all regions of the CC, except the splenium. Remote widespread changes in the callosal genu and body are associated with slower performance on cooperative bimanual tasks that require precise and interdependent coordination of the hands. Measures of callosal microstructure may prove to be a useful predictor of real-world bimanual performance in chronic stroke survivors. [ABSTRACT FROM AUTHOR]

Published
2023
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15. The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke.

Author

Liew, Sook-Lei, Liew, Sook-Lei, Zavaliangos-Petropulu, Artemis, Jahanshad, Neda, Lang, Catherine E, Hayward, Kathryn S, Lohse, Keith R, Juliano, Julia M, Assogna, Francesca, Baugh, Lee A, Bhattacharya, Anup K, Bigjahan, Bavrina, Borich, Michael R, Boyd, Lara A, Brodtmann, Amy, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Conforto, Adriana B, Craddock, R Cameron, Dimyan, Michael A, Dula, Adrienne N, Ermer, Elsa, Etherton, Mark R, Fercho, Kelene A, Gregory, Chris M, Hadidchi, Shahram, Holguin, Jess A, Hwang, Darryl H, Jung, Simon, Kautz, Steven A, Khlif, Mohamed Salah, Khoshab, Nima, Kim, Bokkyu, Kim, Hosung, Kuceyeski, Amy, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Piras, Fabrizio, Ramos-Murguialday, Ander, Richard, Geneviève, Roberts, Pamela, Robertson, Andrew D, Rondina, Jane M, Rost, Natalia S, Sanossian, Nerses, Schweighofer, Nicolas, Seo, Na Jin, Shiroishi, Mark S, Soekadar, Surjo R, Spalletta, Gianfranco, Stinear, Cathy M, Suri, Anisha, Tang, Wai Kwong W, Thielman, Gregory T, Vecchio, Daniela, Villringer, Arno, Ward, Nick S, Werden, Emilio, Westlye, Lars T, Winstein, Carolee, Wittenberg, George F, Wong, Kristin A, Yu, Chunshui, Cramer, Steven C, Thompson, Paul M, Liew, Sook-Lei, Liew, Sook-Lei, Zavaliangos-Petropulu, Artemis, Jahanshad, Neda, Lang, Catherine E, Hayward, Kathryn S, Lohse, Keith R, Juliano, Julia M, Assogna, Francesca, Baugh, Lee A, Bhattacharya, Anup K, Bigjahan, Bavrina, Borich, Michael R, Boyd, Lara A, Brodtmann, Amy, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Conforto, Adriana B, Craddock, R Cameron, Dimyan, Michael A, Dula, Adrienne N, Ermer, Elsa, Etherton, Mark R, Fercho, Kelene A, Gregory, Chris M, Hadidchi, Shahram, Holguin, Jess A, Hwang, Darryl H, Jung, Simon, Kautz, Steven A, Khlif, Mohamed Salah, Khoshab, Nima, Kim, Bokkyu, Kim, Hosung, Kuceyeski, Amy, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Piras, Fabrizio, Ramos-Murguialday, Ander, Richard, Geneviève, Roberts, Pamela, Robertson, Andrew D, Rondina, Jane M, Rost, Natalia S, Sanossian, Nerses, Schweighofer, Nicolas, Seo, Na Jin, Shiroishi, Mark S, Soekadar, Surjo R, Spalletta, Gianfranco, Stinear, Cathy M, Suri, Anisha, Tang, Wai Kwong W, Thielman, Gregory T, Vecchio, Daniela, Villringer, Arno, Ward, Nick S, Werden, Emilio, Westlye, Lars T, Winstein, Carolee, Wittenberg, George F, Wong, Kristin A, Yu, Chunshui, Cramer, Steven C, and Thompson, Paul M

Abstract

The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided.

Published
2022

18. Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide

Author

Liew, Sook-Lei, Zavaliangos-Petropulu, Artemis, Schweighofer, Nicolas, Jahanshad, Neda, Lang, Catherine E, Lohse, Keith R, Banaj, Nerisa, Barisano, Giuseppe, Baugh, Lee A, Bhattacharya, Anup K, Bigjahan, Bavrina, Borich, Michael R, Boyd, Lara A, Brodtmann, Amy, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Charalambous, Charalambos C, Ciullo, Valentina, Conforto, Adriana B, Craddock, Richard C, Dula, Adrienne N, Egorova, Natalia, Feng, Wuwei, Fercho, Kelene A, Gregory, Chris M, Hanlon, Colleen A, Hayward, Kathryn S, Holguin, Jess A, Hordacre, Brenton, Hwang, Darryl H, Kautz, Steven A, Khlif, Mohamed Salah, Kim, Bokkyu, Kim, Hosung, Kuceyeski, Amy, Lo, Bethany, Liu, Jingchun, Lin, David, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Nordvik, Jan Egil, Petoe, Matthew A, Piras, Fabrizio, Raju, Sharmila, Ramos-Murguialday, Ander, Revill, Kate P, Roberts, Pamela, Robertson, Andrew D, Schambra, Heidi M, Seo, Na Jin, Shiroishi, Mark S, Soekadar, Surjo R, Spalletta, Gianfranco, Stinear, Cathy M, Suri, Anisha, Tang, Wai Kwong, Thielman, Gregory T, Thijs, Vincent N, Vecchio, Daniela, Ward, Nick S, Westlye, Lars T, Winstein, Carolee J, Wittenberg, George F, Wong, Kristin A, Yu, Chunshui, Wolf, Steven L, Cramer, Steven C, Thompson, Paul M, Baugh, Lee, Gallaguet, Adrià Bermudo, Bhattacharya, Anup, Borich, Michael, Boyd, Lara, Brown, Truman, Buetefisch, Cathrin, Byblow, Winston, Cassidy, Jessica, Charalambous, Charalambos, Cloutier, Alison, Cole, James, Conforto, Adriana, Craddock, Richard, Cramer, Steven, Aguayo, Rosalia Dacosta, DiCarlo, Julie, Dimyan, Michael, Domin, Martin, Donnellly, Miranda, Dula, Adrienne, Edwardson, Matthew, Ermer, Elsa, Etherton, Mark, Fercho, Kelene, Ferris, Jennifer, Geranmayeh, Fatemeh, Gregory, Chris, Hadidchi, Shahram, Hanlon, Colleen, Hayes, Leticia, Hayward, Kathryn, Holguin, Jess, Hwang, Darryl, Jamison, Keith, Juliano, Julia, Kautz, Steven, Lang, Catherine, Lee, Jenny, Lohse, Keith, MacIntosh, Bradley, Margetis, John, Margulies, Daniel, Mataro, Maria, McGregor, Keith, Mohamed, Feroze, Nordvik, Jan, Olafson, Emily, Perera-LLuna, Alexandre, Petoe, Matthew, Phillips, Aaron, Revill, Kate, Robertson, Andrew, Rondina, Jane, Rost, Natalia, Sanossian, Nerses, Schambra, Heidi, Schranz, Christian, Sepehrband, Farshid, Shiroishi, Mark, Simon, Julia, Soekadar, Surjo, Srivastava, Shraddha, Stewart, Jill, Stinear, Cathy, Taga, Myriam, Thielman, Gregory, Thijs, Vincent, Thomopoulos, Sophia, Thompson, Paul, Warach, Steven, Ward, Nick, Werden, Emilio, Westlye, Lars, Wiest, Roland, Winstein, Carolee, Wittenberg, George, Wolf, Steven, Wong, Kristin, Liew, Sook-Lei, Zavaliangos-Petropulu, Artemis, Schweighofer, Nicolas, Jahanshad, Neda, Hordacre, Brenton, and Thompson, Paul M

Subjects
medicine.medical_specialty, Thalamus, Grey matter, Nucleus accumbens, rehabilitation, Physical medicine and rehabilitation, sensorimotor behaviour, Medicine, Mri brain, Stroke survivor, Chronic stroke, Stroke, subcortical volumes, business.industry, AcademicSubjects/SCI01870, Putamen, General Engineering, medicine.disease, stroke, Behavioral data, medicine.anatomical_structure, Ventricle, Post stroke, Original Article, AcademicSubjects/MED00310, business, MRI
Abstract

Up to two-thirds of stroke survivors experience persistent sensorimotor impairments. Recovery relies on the integrity of spared brain areas to compensate for damaged tissue. Deep grey matter structures play a critical role in the control and regulation of sensorimotor circuits. The goal of this work is to identify associations between volumes of spared subcortical nuclei and sensorimotor behaviour at different timepoints after stroke. We pooled high-resolution T1-weighted MRI brain scans and behavioural data in 828 individuals with unilateral stroke from 28 cohorts worldwide. Cross-sectional analyses using linear mixed-effects models related post-stroke sensorimotor behaviour to non-lesioned subcortical volumes (Bonferroni-corrected, P, Liew et al. report the first large-scale examination using high-resolution neuroimaging of subcortical nuclei and sensorimotor behaviour in 828 stroke patients from 28 cohorts worldwide. They discovered novel associations between post-stroke sensorimotor behaviour and specific subcortical nuclei, providing new insight for stroke rehabilitation., Graphical Abstract Graphical Abstract

Published
2022

22. sj-pdf-1-nnr-10.1177_15459683211068441 ��� Supplemental Material for Corticospinal Tract Lesion Load Originating From Both Ventral Premotor and Primary Motor Cortices Are Associated With Post-stroke Motor Severity

Author

Ito, Kaori L., Kim, Bokkyu, Liu, Jingchun, Soekadar, Surjo R., Winstein, Carolee, Yu, Chunshui, Cramer, Steven C., Schweighofer, Nicolas, and Liew, Sook-Lei

Subjects
FOS: Clinical medicine, 110308 Geriatrics and Gerontology, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental Material, sj-pdf-1-nnr-10.1177_15459683211068441 for Corticospinal Tract Lesion Load Originating From Both Ventral Premotor and Primary Motor Cortices Are Associated With Post-stroke Motor Severity by Kaori L. Ito, Bokkyu Kim, Jingchun Liu, Surjo R. Soekadar, Carolee Winstein, Chunshui Yu, Steven C. Cramer, Nicolas Schweighofer, and Sook-Lei Liew in Neurorehabilitation and Neural Repair

Published
2021
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25. Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide

Author

Liew, Sook-Lei, primary, Zavaliangos-Petropulu, Artemis, additional, Schweighofer, Nicolas, additional, Jahanshad, Neda, additional, Lang, Catherine E., additional, Lohse, Keith R., additional, Banaj, Nerisa, additional, Barisano, Giuseppe, additional, Baugh, Lee A., additional, Bhattacharya, Anup K., additional, Bigjahan, Bavrina, additional, Borich, Michael R., additional, Boyd, Lara A., additional, Brodtmann, Amy, additional, Buetefisch, Cathrin M., additional, Byblow, Winston D., additional, Cassidy, Jessica M., additional, Ciullo, Valentina, additional, Conforto, Adriana B., additional, Craddock, Richard C., additional, Dula, Adrienne N., additional, Egorova, Natalia, additional, Feng, Wuwei, additional, Fercho, Kelene A., additional, Gregory, Chris M., additional, Hanlon, Colleen A., additional, Hayward, Kathryn S., additional, Holguin, Jess A., additional, Hordacre, Brenton, additional, Hwang, Darryl H., additional, Kautz, Steven A., additional, Khlif, Mohamed Salah, additional, Kim, Bokkyu, additional, Kim, Hosung, additional, Kuceyeski, Amy, additional, Lo, Bethany, additional, Liu, Jingchun, additional, Lin, David, additional, Lotze, Martin, additional, MacIntosh, Bradley J., additional, Margetis, John L., additional, Mohamed, Feroze B., additional, Nordvik, Jan Egil, additional, Petoe, Matthew A., additional, Piras, Fabrizio, additional, Raju, Sharmila, additional, Ramos-Murguialday, Ander, additional, Revill, Kate P., additional, Roberts, Pamela, additional, Robertson, Andrew D., additional, Schambra, Heidi M., additional, Seo, Na Jin, additional, Shiroishi, Mark S., additional, Soekadar, Surjo R., additional, Spalletta, Gianfranco, additional, Stinear, Cathy M., additional, Suri, Anisha, additional, Tang, Wai Kwong, additional, Thielman, Gregory T., additional, Thijs, Vincent N., additional, Vecchio, Daniela, additional, Wang, Junping, additional, Ward, Nick S., additional, Westlye, Lars T., additional, Winstein, Carolee J., additional, Wittenberg, George F., additional, Wong, Kristin A., additional, Yu, Chunshui, additional, Wolf, Steven L., additional, Cramer, Steven C., additional, and Thompson, Paul M., additional

Published
2020
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27. The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

Author

Liew, Sook‐Lei, primary, Zavaliangos‐Petropulu, Artemis, additional, Jahanshad, Neda, additional, Lang, Catherine E., additional, Hayward, Kathryn S., additional, Lohse, Keith R., additional, Juliano, Julia M., additional, Assogna, Francesca, additional, Baugh, Lee A., additional, Bhattacharya, Anup K., additional, Bigjahan, Bavrina, additional, Borich, Michael R., additional, Boyd, Lara A., additional, Brodtmann, Amy, additional, Buetefisch, Cathrin M., additional, Byblow, Winston D., additional, Cassidy, Jessica M., additional, Conforto, Adriana B., additional, Craddock, R. Cameron, additional, Dimyan, Michael A., additional, Dula, Adrienne N., additional, Ermer, Elsa, additional, Etherton, Mark R., additional, Fercho, Kelene A., additional, Gregory, Chris M., additional, Hadidchi, Shahram, additional, Holguin, Jess A., additional, Hwang, Darryl H., additional, Jung, Simon, additional, Kautz, Steven A., additional, Khlif, Mohamed Salah, additional, Khoshab, Nima, additional, Kim, Bokkyu, additional, Kim, Hosung, additional, Kuceyeski, Amy, additional, Lotze, Martin, additional, MacIntosh, Bradley J., additional, Margetis, John L., additional, Mohamed, Feroze B., additional, Piras, Fabrizio, additional, Ramos‐Murguialday, Ander, additional, Richard, Geneviève, additional, Roberts, Pamela, additional, Robertson, Andrew D., additional, Rondina, Jane M., additional, Rost, Natalia S., additional, Sanossian, Nerses, additional, Schweighofer, Nicolas, additional, Seo, Na Jin, additional, Shiroishi, Mark S., additional, Soekadar, Surjo R., additional, Spalletta, Gianfranco, additional, Stinear, Cathy M., additional, Suri, Anisha, additional, Tang, Wai Kwong W., additional, Thielman, Gregory T., additional, Vecchio, Daniela, additional, Villringer, Arno, additional, Ward, Nick S., additional, Werden, Emilio, additional, Westlye, Lars T., additional, Winstein, Carolee, additional, Wittenberg, George F., additional, Wong, Kristin A., additional, Yu, Chunshui, additional, Cramer, Steven C., additional, and Thompson, Paul M., additional

Published
2020
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28. The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke

Author

Liew, Sook-Lei, primary, Zavaliangos-Petropulu, Artemis, additional, Jahanshad, Neda, additional, Lang, Catherine E., additional, Hayward, Kathryn S., additional, Lohse, Keith, additional, Juliano, Julia M., additional, Assogna, Francesca, additional, Baugh, Lee A., additional, Bhattacharya, Anup K., additional, Bigjahan, Bavrina, additional, Borich, Michael R., additional, Boyd, Lara A., additional, Brodtmann, Amy, additional, Buetefisch, Cathrin M., additional, Byblow, Winston D., additional, Cassidy, Jessica M., additional, Conforto, Adriana B., additional, Craddock, Cameron, additional, Dimyan, Michael A., additional, Dula, Adrienne N., additional, Ermer, Elsa, additional, Etherton, Mark R., additional, Fercho, Kelene A., additional, Gregory, Chris M., additional, Hadidchi, Sharam, additional, Holguin, Jess Anthony, additional, Hwang, Darryl H., additional, Jung, Simon, additional, Kautz, Steven A., additional, Khlif, Mohamed Salah, additional, Khoshab, Nima, additional, Kim, Bokkyu, additional, Kim, Hosung, additional, Kuceyeski, Amy, additional, Lotze, Martin, additional, MacIntosh, Bradley J., additional, Margetis, John L., additional, Mohamed, Feroze B., additional, Piras, Fabrizio, additional, Ramos-Murguialday, Ander, additional, Richard, Genevieve, additional, Roberts, Pamela, additional, Robertson, Andrew D., additional, Rondina, Jane M., additional, Rost, Natalia S., additional, Sanossian, Nerses, additional, Schweighofer, Nicolas, additional, Shiroishi, Mark S., additional, Soekadar, Surjo R., additional, Spalletta, Gianfranco, additional, Stinear, Cathy M., additional, Suri, Anisha, additional, Tang, Wai Kwong W., additional, Thielman, Gregory T., additional, Vecchio, Daniela, additional, Villringer, Arno, additional, Ward, Nick, additional, Werden, Emilio, additional, Westlye, Lars T., additional, Winstein, Carolee, additional, Wittenberg, George Frederick, additional, Wong, Kristin A., additional, Yu, Chunshui, additional, Cramer, Steven C., additional, and Thompson, Paul, additional

Published
2020
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29. Effort, success, and side of lesion determine arm choice in individuals with chronic stroke.

Author

Sujin Kim, Han, Cheol E., Kim, Bokkyu, Winstein, Carolee J., and Schweighofer, Nicolas

Abstract

In neurotypical individuals, arm choice in reaching movements depends on expected biomechanical effort, expected success, and a handedness bias. Following a stroke, does arm choice change to account for the decreased motor performance, or does it follow a preinjury habitual preference pattern? Participants with mild-to-moderate chronic stroke who were right-handed before stroke performed reaching movements in both spontaneous and forced-choice blocks, under no-time, medium-time, and fast-time constraint conditions designed to modulate reaching success. Mixed-effects logistic regression models of arm choice revealed that expected effort predicted choices. However, expected success only strongly predicted choice in left-hemiparetic individuals. In addition, reaction times decreased in left-hemiparetic individuals between the no-time and the fast-time constraint conditions but showed no changes in right-hemiparetic individuals. Finally, arm choice in the no-time constraint condition correlated with a clinical measure of spontaneous arm use for right-, but not for left-hemiparetic individuals. Our results are consistent with the view that right-hemiparetic individuals show a habitual pattern of arm choice for reaching movements relatively independent of failures. In contrast, left-hemiparetic individuals appear to choose their paretic left arm more optimally: that is, if a movement with the paretic arm is predicted to be not successful in the upcoming movement, the nonparetic right arm is chosen instead. NEW & NOTEWORTHY Although we are seldom aware of it, we constantly make decisions to use one arm or the other in daily activities. Here, we studied whether these decisions change following stroke. Our results show that effort, success, and side of lesion determine arm choice in a reaching task: whereas left-paretic individuals modified their arm choice in response to failures in reaching the target, right-paretic individuals showed a pattern of choice independent of failures. [ABSTRACT FROM AUTHOR]

Published
2022
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30. Dosage Matters

Author

Winstein, Carolee, primary, Kim, Bokkyu, additional, Kim, Sujin, additional, Martinez, Clarisa, additional, and Schweighofer, Nicolas, additional

Published
2019
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32. A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

Author

Liew, Sook-Lei, primary, Anglin, Julia M., additional, Banks, Nick W., additional, Sondag, Matt, additional, Ito, Kaori L., additional, Kim, Hosung, additional, Chan, Jennifer, additional, Ito, Joyce, additional, Jung, Connie, additional, Khoshab, Nima, additional, Lefebvre, Stephanie, additional, Nakamura, William, additional, Saldana, David, additional, Schmiesing, Allie, additional, Tran, Cathy, additional, Vo, Danny, additional, Ard, Tyler, additional, Heydari, Panthea, additional, Kim, Bokkyu, additional, Aziz-Zadeh, Lisa, additional, Cramer, Steven C., additional, Liu, Jingchun, additional, Soekadar, Surjo, additional, Nordvik, Jan-Egil, additional, Westlye, Lars T., additional, Wang, Junping, additional, Winstein, Carolee, additional, Yu, Chunshui, additional, Ai, Lei, additional, Koo, Bonhwang, additional, Craddock, R. Cameron, additional, Milham, Michael, additional, Lakich, Matthew, additional, Pienta, Amy, additional, and Stroud, Alison, additional

Published
2017
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