Literature DB >> 33085178

Alterations in intrinsic functional networks in Parkinson's disease patients with depression: A resting-state functional magnetic resonance imaging study.

Yi-Hui Qiu1, Zhi-Heng Huang1, Yu-Yuan Gao1, Shu-Jun Feng1, Biao Huang2, Wan-Yi Wang1, Qi-Huan Xu1, Jie-Hao Zhao1, Yu-Hu Zhang1, Li-Min Wang1, Kun Nie1, Li-Juan Wang1.   

Abstract

AIMS: The aim of this research was to investigate the alterations in functional brain networks and to assess the relationship between depressive impairment and topological network changes in Parkinson's disease (PD) patients with depression (DPD).
METHODS: Twenty-two DPD patients, 23 PD patients without depression (NDPD), and 25 matched healthy controls (HCs) were enrolled. All participants were examined by resting-state functional magnetic resonance imaging scans. Graph theoretical analysis and network-based statistic methods were used to analyze brain network topological properties and abnormal subnetworks, respectively.
RESULTS: The DPD group showed significantly decreased local efficiency compared with the HC group (P = .008, FDR corrected). In nodal metrics analyses, the degree of the right inferior occipital gyrus (P = .0001, FDR corrected) was positively correlated with the Hamilton Depression Rating Scale scores in the DPD group. Meanwhile, the temporal visual cortex, including the bilateral middle temporal gyri and right inferior temporal gyrus in the HC and NDPD groups and the left posterior cingulate gyrus in the NDPD group, was defined as hub region, but not in the DPD group. Compared with the HC group, the DPD group had extensive weakening of connections between the temporal-occipital visual cortex and the prefrontal-limbic network.
CONCLUSIONS: These results suggest that PD depression is associated with disruptions in the topological organization of functional brain networks, mainly involved the temporal-occipital visual cortex and the posterior cingulate gyrus and may advance our current understanding of the pathophysiological mechanisms underlying DPD.
© 2020 The Authors. CNS Neuroscience & Therapeutics Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Parkinson’s disease; depression; functional magnetic resonance imaging; graph theory; network-based statistical analysis

Mesh:

Year:  2020        PMID: 33085178      PMCID: PMC7871794          DOI: 10.1111/cns.13467

Source DB:  PubMed          Journal:  CNS Neurosci Ther        ISSN: 1755-5930            Impact factor:   5.243


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