Gray-white matter covarying impairment in the anterior cingulate cortex revealed by multimodal meta-analysis of post-stroke cognitive impairment

This study applied SDM-PSI multimodal meta-analysis to delineate characteristic neurostructural damage patterns in PSCI. Key findings encompass gray matter atrophy within frontotemporal cognitive hubs (FWE-corrected). Additionally, exploratory analyses suggested potential covarying GM-WM pathology in the left anterior cingulate/paracingulate gyri (BA 11/25; <i>p</i> = 0.043, uncorrected). These findings elucidate PSCI pathogenesis and suggest potential anatomical targets for future research.

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Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2026-02-23
DOI
https://doi.org/10.3389/fnagi.2026.1654758
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Gray-white matter covarying impairment in the anterior cingulate cortex revealed by multimodal meta-analysis of post-stroke cognitive impairment

Ruonan Huang, Zimeng Tang, Xin Tan, Longjian Huang
Frontiers in Aging Neuroscience
Advanced Neuroimaging Techniques and Applications
article

Gray-white matter covarying impairment in the anterior cingulate cortex revealed by multimodal meta-analysis of post-stroke cognitive impairment

Ruonan Huang, Zimeng Tang, Xin Tan, Longjian Huang
article en

Abstract

This study applied SDM-PSI multimodal meta-analysis to delineate characteristic neurostructural damage patterns in PSCI. Key findings encompass gray matter atrophy within frontotemporal cognitive hubs (FWE-corrected). Additionally, exploratory analyses suggested potential covarying GM-WM pathology in the left anterior cingulate/paracingulate gyri (BA 11/25; <i>p</i> = 0.043, uncorrected). These findings elucidate PSCI pathogenesis and suggest potential anatomical targets for future research.

Frontiers in Aging NeuroscienceVol. 18
Affiliated Hospital of Youjiang Medical University for Nationalities (CN), Yulin University (CN)
Openalex Percentile: Top 47%
Advanced Neuroimaging Techniques and Applications
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