Prediction of Long-term Motor Function Based on Functional Connectivity in Ischemic Stroke after Intra-arterial Thrombectomy

Motivation: Intra-arterial thrombectomy (IAT) can remove the thrombus to restore cerebral blood flow. However, even if the thrombus is removed, the experienced hypoxia may still damage the brain, resulting in motor deficits. Goal(s): This study demonstrated that early brain network changes after IAT treatment can predict long-term recovery in ischemic stroke patients. Approach: Functional connectivity was correlated with motor recovery after IAT treatment, identifying key functional connectivity features that influence stroke prognosis to unravel the involved mechanisms. Results: Long-term motor functions can be predicted based on the two-week functional connectivity and Fugl-Meyer Assessment scores. Impact: The current clinical challenge is that nearly half of stroke patients who undergo IAT still cannot fully recover after treatment and rehabilitation. Early prediction of post-IAT motor recovery in stroke patients can provide appropriate rehabilitation plans in clinics.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0074
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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0.00
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article

Prediction of Long-term Motor Function Based on Functional Connectivity in Ischemic Stroke after Intra-arterial Thrombectomy

Bing‐Fong Lin, Chih‐Wei Tang, Chia‐Feng Lu, Wei Yang et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
EEG and Brain-Computer Interfaces
article

Prediction of Long-term Motor Function Based on Functional Connectivity in Ischemic Stroke after Intra-arterial Thrombectomy

Bing‐Fong Lin, Chih‐Wei Tang, Chia‐Feng Lu, Wei Yang, Yen-Jun Lai
article en

Abstract

Motivation: Intra-arterial thrombectomy (IAT) can remove the thrombus to restore cerebral blood flow. However, even if the thrombus is removed, the experienced hypoxia may still damage the brain, resulting in motor deficits. Goal(s): This study demonstrated that early brain network changes after IAT treatment can predict long-term recovery in ischemic stroke patients. Approach: Functional connectivity was correlated with motor recovery after IAT treatment, identifying key functional connectivity features that influence stroke prognosis to unravel the involved mechanisms. Results: Long-term motor functions can be predicted based on the two-week functional connectivity and Fugl-Meyer Assessment scores. Impact: The current clinical challenge is that nearly half of stroke patients who undergo IAT still cannot fully recover after treatment and rehabilitation. Early prediction of post-IAT motor recovery in stroke patients can provide appropriate rehabilitation plans in clinics.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
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Openalex Percentile: Top 78%
EEG and Brain-Computer Interfaces
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Prediction of Long-term Motor Function Based on Functional Connectivity in Ischemic Stroke after Intra-arterial Thrombectomy — Bing‐Fong Lin, Chih‐Wei Tang, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS