Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers
Abstract Chronic motor impairments are a leading cause of disability after stroke. Previous studies have associated motor outcomes with the degree of damage to predefined structures in the motor system, such as the corticospinal tract. However, such theory-based approaches may not take full advantag...
Shranjeno v:
Main Authors: | Emily Olafson, Christoph Sperber, Keith Jamison, Mark Bowren, Aaron D. Boes, Justin W. Andrushko, Michael R. Borich, Lara A. Boyd, Jessica M. Cassidy, Adriana Bastos Conforto, Steven C. Cramer, Adrienne N. Dula, Fatemeh Geranmayeh, Brenton Hordacre, Neda Jahanshad, Steven A. Kautz, Bethany P. Tavenner, Bradley J. MacIntosh, Fabrizio Piras, Andrew D. Robertson, Na Jin Seo, Surjo R. Soekadar, Sophia I. Thomopoulos, Daniela Vecchio, Timothy B. Weng, Lars T. Westlye, Carolee J. Winstein, George F. Wittenberg, Kristin A. Wong, Paul M. Thompson, Sook‐Lei Liew, Amy Kuceyeski |
---|---|
Format: | Artigo |
Jezik: | angleščina |
Izdano: |
2024
|
Online dostop: | https://doi.org/10.1093/braincomms/fcae254 |
Oznake: |
Označite
Brez oznak, prvi označite!
|
Podobne knjige/članki
-
Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes
od: Emily Olafson, et al.
Izdano: (2023) -
Severe motor impairment is associated with lower contralesional brain age in chronic stroke
od: Gilsoon Park, et al.
Izdano: (2024) -
Comparison of post-stroke white matter assessment using disconnectome-symptom mapping versus quantitative diffusion MRI
od: Martin Domín, et al.
Izdano: (2025) -
Corticospinal tract lesion load originating from both ventral premotor and primary motor cortices are associated with post-stroke motor severity
od: Ito, Kaori L., et al.
Izdano: (2022) -
Can Neurological Biomarkers of Brain Impairment Be Used to Predict Poststroke Motor Recovery? A Systematic Review
od: Bokkyu Kim, et al.
Izdano: (2016)