Enhancing cerebral infarct classification by automatically extracting relevant fMRI features

Enhancing cerebral infarct classification by automatically extracting relevant fMRI features

Abstract Accurate detection of cortical infarct is critical for timely treatment and improved patient outcomes. Current brain imaging methods often require invasive procedures that primarily assess blood vessel and structural white matter damage. There is a need for non-invasive approaches, such as...

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Bibliographic Details
Main Authors: Vitaly I. Dobromyslin, Wenjin Zhou, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Brain Informatics
Subjects:
Cortical infarct
Infarct detection
Resting-state fMRI
Machine learning
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Online Access:https://doi.org/10.1186/s40708-025-00259-w
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https://doi.org/10.1186/s40708-025-00259-w

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