Literature DB >> 30414340

Regional and network properties of white matter function in Parkinson's disease.

Gong-Jun Ji1,2,3, Cuiping Ren2,3,4, Ying Li2,3,4, Jinmei Sun2,3,4, Tingting Liu2,3,4, Yaxiang Gao2,3, Dongzhang Xue2,3,5, Longshan Shen2,3,6, Wen Cheng2,3,7, Chunyan Zhu1,2,3, Yanghua Tian2,3,4, Panpan Hu2,3,4, Xianwen Chen2,3,4, Kai Wang2,3,4.   

Abstract

Parkinson's disease (PD) is a neurodegenerative disorder with dysfunction in cortices as well as white matter (WM) tracts. While the changes to WM structure have been extensively investigated in PD, the nature of the functional changes to WM remains unknown. In this study, the regional activity and functional connectivity of WM were compared between PD patients (n = 57) and matched healthy controls (n = 52), based on multimodel magnetic resonance imaging data sets. By tract-based spatial statistical analyses of regional activity, patients showed decreased structural-functional coupling in the left corticospinal tract compared to controls. This tract also displayed abnormally increased functional connectivity within the left post-central gyrus and left putamen in PD patients. At the network level, the WM functional network showed small-worldness in both controls and PD patients, yet it was abnormally increased in the latter group. Based on the features of the WM functional connectome, previously un-evaluated individuals could be classified with fair accuracy (73%) and area under the curve of the receiver operating characteristics (75%). These neuroimaging findings provide direct evidence for WM functional changes in PD, which is crucial to understand the functional role of fiber tracts in the pathology of neural circuits.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Parkinson's disease; classification; functional connectivity; graph theory; magnetic resonance imaging; tract-based spatial statistics; white matter

Mesh:

Year:  2018        PMID: 30414340      PMCID: PMC6865582          DOI: 10.1002/hbm.24444

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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