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Abstract #0074

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

Wei Yang1, Bing-Fong Lin1, Yen-Jun Lai2, Chih-Wei Tang3, and Chia-Feng Lu1
1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2Department of Radiology, Far Eastern Memorial Hospital, New Taipei City, Taiwan, 3Department of Neurology, Far Eastern Memorial Hospital, New Taipei City, Taiwan

Synopsis

Keywords: Stroke, Brain Connectivity

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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