Evidence map›Paper›PMID 41209278›Full record

ArticleQuantitative imaging in medicine and surgery2025

Investigation of the large-scale white-matter functional networks in spinocerebellar ataxia type 3.

Jingyi Tang, Sai Li, Weihua Liao, Wu Xing, Junfeng Li, Botian Song, Fangxue Yang, Gaofeng Zhou, Li Meng, Dongcui Wang

Abstract read
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Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jingyi Tang *Department of Radiology, Xiangya Hospital of Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-3750-7935
Sai Li *Department of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Weihua LiaoDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Wu XingDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Junfeng LiDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Botian SongDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Fangxue YangDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Gaofeng ZhouDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Li MengDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Dongcui WangDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-4435-2214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Substantial evidence has shown the widespread structural and functional alterations within the white matter (WM) in patients with spinocerebellar ataxia type 3 (SCA3). However, investigation of the large-scale WM functional networks (WMFNs) remains incomplete in SCA3. This study aimed to comprehensively explore the functional organization, neural activity, and inter-network causal interactions within WMFNs relative to healthy controls (HCs). Methods: A total of 70 patients with SCA3 and 98 HCs underwent resting-state functional magnetic resonance imaging (rs-fMRI) and voxel-based morphometry. A total of 14 WMFNs were identified by K-means clustering algorithm, which were further classified as infratentorial, deep, middle, and superficial layers. Results: Dysfunctional WMFNs in SCA3 were mainly infratentorial, middle-layer, and deep-layer, with significantly decreased amplitudes in comparison with HCs [false discovery rate (FDR) corrected P<0.05]. In addition, the effective connectivity pattern within WMFNs in SCA3 was overall sparser than in HCs, whereas the directed connections from the dysfunctional WMFNs to the normal superficial-layer WMFNs and connections within the dysfunctional WMFNs were enhanced in SCA3 (FDR corrected P<0.05). Concurrently, the normal WMFNs showed reduced outflow strength of inter-network connections, whereas the dysfunctional WMFNs exhibited elevated outflow strength (FDR corrected P<0.05). Furthermore, the decline in neural activity and altered interactions observed can be partially attributed to the extent of WM volume (WMV) loss within the WMFNs, and are associated with the ataxia severity in SCA3 (P<0.05). Conclusions: This study aimed to comprehensively explore the functional organization, neural activity, and inter-network causal interactions within WMFNs relative to HCs. The findings may improve understanding of the neuropathology of SCA3 and its progression throughout the nervous system from the perspective of WM function.

Indexed as

functional magnetic resonance imaging (fMRI)Granger causality analysis (GCA)Spinocerebellar ataxia type 3 (SCA3)white matter functional networks (WMFNs)

Identifiers

PMID41209278
PMCPMC12591894

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