Abstract #4821

Prognostication of stroke recovery using structural connectivity

Xiaopei Xu¹, Kui Kai Lau², Leonard SW Li^2,3, Yuen Kwun Wong², Christina Yau⁴, Henry KF Mak^1,5, Queenie Chan⁶, and Edward S Hui^1,5

¹Department of Diagnostic Radiology, The University of Hong Kong, HKSAR, China, ²Department of Medicine, The University of Hong Kong, HKSAR, China, ³Department of Rehabilitation Medicine, Tung Wah Hospital, HKSAR, China, ⁴Department of Occupational Therapy, Tung Wah Hospital, HKSAR, China, ⁵The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, HKSAR, China, ⁶Philips Healthcare, HKSAR, China

We aim to investigate the longitudinal changes in the structural brain network of patients with acute subcortical ischemic infarct in the motor system, and the relation between motor recovery and network measures. Our results showed that the nodal degree of parahippocampus, amygdala, calcarine fissure, cuneus and fusiform gyrus increased with time after stroke, and that network topology measured at acute phase was associated with the recovery of motor function at 6 months after stroke. These findings suggested that network topology could potentially be a prognostic indicator of motor recovery for patients with acute subcortical ischemic infarct in the motor system.

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