Aberrant brain structural–functional connectivity coupling associated with cognitive dysfunction in different cerebral small vessel disease burdens

Author:

Zhang Xinyue1ORCID,Liang Changhu1ORCID,Feng Mengmeng2ORCID,Xin Haotian2ORCID,Fu Yajie3ORCID,Gao Yian1ORCID,Sui Chaofan1ORCID,Wang Na1ORCID,Wang Yuanyuan4ORCID,Zhang Nan1ORCID,Guo Lingfei1ORCID,Wen Hongwei5ORCID

Affiliation:

1. Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Department of Radiology, Ministry of Education Shandong Provincial Hospital Affiliated to Shandong First Medical University Jinan Shandong China

2. Department of Radiology and Nuclear Medicine, Xuanwu Hospital Capital Medical University Beijing China

3. Shandong Medicine and Health Key Laboratory of Abdominal Medical Imaging, Department of Medical Ultrasound The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital Jinan Shandong China

4. School of Medical Imaging Binzhou Medical University Yantai Shandong China

5. Key Laboratory of Cognition and Personality (Ministry of Education), Faculty of Psychology Southwest University Chongqing China

Abstract

AbstractAimsEmerging evidence suggests that cerebral small vessel disease (CSVD) pathology changes brain structural connectivity (SC) and functional connectivity (FC) networks. Although network‐level SC and FC are closely coupled in the healthy population, how SC‐FC coupling correlates with neurocognitive outcomes in patients with different CSVD burdens remains largely unknown.MethodsUsing multimodal MRI, we reconstructed whole‐brain SC and FC networks for 54 patients with severe CSVD burden (CSVD‐s), 106 patients with mild CSVD burden (CSVD‐m), and 79 healthy controls. We then investigated the aberrant SC‐FC coupling and functional network topology in CSVD and their correlations with cognitive dysfunction.ResultsCompared with controls, the CSVD‐m patients showed no significant change in any SC‐FC coupling, but the CSVD‐s patients exhibited significantly decreased whole‐brain (p = 0.014), auditory/motor (p = 0.033), and limbic modular (p = 0.011) SC‐FC coupling. For functional network topology, despite no change in global efficiency, CSVD‐s patients exhibited significantly reduced nodal efficiency of the bilateral amygdala (p = 0.024 and 0.035) and heschl gyrus (p = 0.001 and 0.005). Notably, for the CSVD‐s patients, whole‐brain SC‐FC coupling showed a significantly positive correlation with MoCA (r = 0.327, p = 0.020) and SDMT (r = 0.373, p = 0.008) scores, limbic/subcortical modular SC‐FC coupling showed a negative correlation (r = −0.316, p = 0.025) with SCWT score, and global/local efficiency (r = 0.367, p = 0.009 and r = 0.353, p = 0.012) showed a positive correlation with AVLT score. For the CSVD‐m group, whole‐brain and auditory/motor modular SC‐FC couplings showed significantly positive correlations with SCWT (r = 0.217, p = 0.028 and r = 0.219, p = 0.027) and TMT (r = 0.324, p = 0.001 and r = 0.245, p = 0.013) scores, and global/local efficiency showed positive correlations with AVLT (r = 0.230, p = 0.020 and r = 0.248, p = 0.012) and SDMT (r = 0.263, p = 0.008 and r = 0.263, p = 0.007) scores.ConclusionOur findings demonstrated that decreased whole‐brain and module‐dependent SC‐FC coupling associated with reduced functional efficiency might underlie more severe burden and worse cognitive decline in CSVD. SC‐FC coupling might serve as a more sensitive neuroimaging biomarker of CSVD burden and provided new insights into the pathophysiologic mechanisms of clinical development of CSVD.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Fundamental Research Funds for the Central Universities

Publisher

Wiley

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