Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study
- DOI
- 10.1016/j.landig.2025.100942
- Published
- 2026-01
- Container
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.landig.2025.100942,
title = {Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study},
author = {Gilsoon Park and Mahir H Khan and Justin W Andrushko and Nerisa Banaj and Michael R Borich and Lara A Boyd and Amy Brodtmann and Truman R Brown and Cathrin M Buetefisch and Adriana B Conforto and Steven C Cramer and Michael Dimyan and Martin Domin and Miranda R Donnelly and Natalia Egorova-Brumley and Elsa R Ermer and Wuwei Feng and Fatemeh Geranmayeh and Colleen A Hanlon and Brenton Hordacre and Neda Jahanshad and Steven A Kautz and Mohamed Salah Khlif and Jingchun Liu and Martin Lotze and Bradley J MacIntosh and Feroze B Mohamed and Jan E Nordvik and Fabrizio Piras and Kate P Revill and Andrew D Robertson and Christian Schranz and Nicolas Schweighofer and Na Jin Seo and Surjo R Soekadar and Shraddha Srivastava and Bethany P Tavenner and Gregory T Thielman and Sophia I Thomopoulos and Daniela Vecchio and Emilio Werden and Lars T Westlye and Carolee J Winstein and George F Wittenberg and Jennifer K Ferris and Chunshui Yu and Paul M Thompson and Sook-Lei Liew and Hosung Kim},
year = {2026},
journal = {The Lancet Digital Health},
doi = {10.1016/j.landig.2025.100942},
url = {https://doi.org/10.1016/j.landig.2025.100942}
}RIS
TY - JOUR TI - Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study AU - Gilsoon Park AU - Mahir H Khan AU - Justin W Andrushko AU - Nerisa Banaj AU - Michael R Borich AU - Lara A Boyd AU - Amy Brodtmann AU - Truman R Brown AU - Cathrin M Buetefisch AU - Adriana B Conforto AU - Steven C Cramer AU - Michael Dimyan AU - Martin Domin AU - Miranda R Donnelly AU - Natalia Egorova-Brumley AU - Elsa R Ermer AU - Wuwei Feng AU - Fatemeh Geranmayeh AU - Colleen A Hanlon AU - Brenton Hordacre AU - Neda Jahanshad AU - Steven A Kautz AU - Mohamed Salah Khlif AU - Jingchun Liu AU - Martin Lotze AU - Bradley J MacIntosh AU - Feroze B Mohamed AU - Jan E Nordvik AU - Fabrizio Piras AU - Kate P Revill AU - Andrew D Robertson AU - Christian Schranz AU - Nicolas Schweighofer AU - Na Jin Seo AU - Surjo R Soekadar AU - Shraddha Srivastava AU - Bethany P Tavenner AU - Gregory T Thielman AU - Sophia I Thomopoulos AU - Daniela Vecchio AU - Emilio Werden AU - Lars T Westlye AU - Carolee J Winstein AU - George F Wittenberg AU - Jennifer K Ferris AU - Chunshui Yu AU - Paul M Thompson AU - Sook-Lei Liew AU - Hosung Kim PY - 2026 JO - The Lancet Digital Health DO - 10.1016/j.landig.2025.100942 UR - https://doi.org/10.1016/j.landig.2025.100942 ER -
APA
Park, G., Khan, M. H., Andrushko, J. W., Banaj, N., Borich, M. R., Boyd, L. A., Brodtmann, A., Brown, T. R., Buetefisch, C. M., Conforto, A. B., Cramer, S. C., Dimyan, M., Domin, M., Donnelly, M. R., Egorova-Brumley, N., Ermer, E. R., Feng, W., Geranmayeh, F., Hanlon, C. A., Hordacre, B., Jahanshad, N., Kautz, S. A., Khlif, M. S., Liu, J., Lotze, M., MacIntosh, B. J., Mohamed, F. B., Nordvik, J. E., Piras, F., Revill, K. P., Robertson, A. D., Schranz, C., Schweighofer, N., Seo, N. J., Soekadar, S. R., Srivastava, S., Tavenner, B. P., Thielman, G. T., Thomopoulos, S. I., Vecchio, D., Werden, E., Westlye, L. T., Winstein, C. J., Wittenberg, G. F., Ferris, J. K., Yu, C., Thompson, P. M., Liew, S., & Kim, H. (2026). Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study. The Lancet Digital Health. https://doi.org/10.1016/j.landig.2025.100942
Source records
- crossref · retrieved 2026-09-26T07:43:05.018Z