A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease

A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease

Abstract The heterogeneity of cerebral small vessel disease (CSVD) with mild cognitive impairment (MCI) presents a challenge for diagnosis and classification. This study aims to propose a multimodal magnetic resonance imaging (MRI)-based machine learning framework to effectively classify MCI and NCI...

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Main Authors: Guihan Lin, Weiyue Chen, Yongkang Geng, Bo Peng, Surui Liu, Minjiang Chen, Chunying Pang, Pengjun Chen, Chenying Lu, Zhihan Yan, Shuiwei Xia, Yakang Dai, Jiansong Ji
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Cerebral small vessel disease
Cognitive impairment
Multimodal MRI
Machine learning
AutoGluon
Online Access:https://doi.org/10.1038/s41598-025-97552-9
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https://doi.org/10.1038/s41598-025-97552-9

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