Topological changes in white matter connectivity network in patients with Parkinson’s disease and depression

Hu, Xiao; Qian, Long; Zhang, Yaoyu; Xu, Yuanyuan; Zheng, Li; Liu, Yijun; Zhang, Xiangrong; Zhang, Yi; Liu, Weiguo

doi:10.1007/s11682-019-00208-2

Cited by 12 publications

(33 citation statements)

References 33 publications

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“…The latest research has suggested that network topological metric measurements derived using graph theory may be potential biomarkers in PD to evaluate disease progression and to monitor therapeutic effects 6 . By using diffusion tensor imaging, one study showed that despite preserved small‐world topology, DPD exhibited higher network efficiency in the fronto‐limbic system compared to that in PD patients without depression (NDPD) 7 . Gou et al, 8 by using graph theory and network‐based statistic (NBS) methods, showed that the integration of the structural brain network was impaired with disrupted connectivity of the limbic and visual systems in de novo and drug‐naïve DPD patients.…”

Section: Introductionmentioning

confidence: 99%

Alterations in intrinsic functional networks in Parkinson’s disease patients with depression: A resting‐state functional magnetic resonance imaging study

et al. 2020

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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.

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Section: Introductionmentioning

confidence: 99%

Alterations in intrinsic functional networks in Parkinson’s disease patients with depression: A resting‐state functional magnetic resonance imaging study

et al. 2020

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“…All of the tracts in the dataset were calculated by seeding each voxel with FA greater than 0.2. Tractography was terminated if the angle was more than 45° or if a voxel with an FA < 0.2 was observed ( Hu et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

Disrupted Topological Organization in White Matter Networks in Unilateral Sudden Sensorineural Hearing Loss

et al. 2021

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Sudden sensorineural hearing loss (SSNHL) is a sudden-onset hearing impairment that rapidly develops within 72 h and is mostly unilateral. Only a few patients can be identified with a defined cause by routine clinical examinations. Recently, some studies have shown that unilateral SSNHL is associated with alterations in the central nervous system. However, little is known about the topological organization of white matter (WM) networks in unilateral SSNHL patients in the acute phase. In this study, 145 patients with SSNHL and 91 age-, gender-, and education-matched healthy controls were evaluated using diffusion tensor imaging (DTI) and graph theoretical approaches. The topological properties of WM networks, including global and nodal parameters, were investigated. At the global level, SSNHL patients displayed decreased clustering coefficient, local efficiency, global efficiency, normalized clustering coefficient, normalized characteristic path length, and small-worldness and increased characteristic path length (p < 0.05) compared with healthy controls. At the nodal level, altered nodal centralities in brain regions involved the auditory network, visual network, attention network, default mode network (DMN), sensorimotor network, and subcortical network (p < 0.05, Bonferroni corrected). These findings indicate a shift of the WM network topology in SSNHL patients toward randomization, which is characterized by decreased global network integration and segregation and is reflected by decreased global connectivity and altered nodal centralities. This study could help us understand the potential pathophysiology of unilateral SSNHL.

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“…TBSS analysis also detected midline morphological deformation at the level of decussation of the superior cerebellar peduncle (Prange et al, 2019). (Hu et al, 2020;Li et al, 2020). Li et al found no evidence of MMSE score differences between DPD patients, NDPD patients, and HC (Li et al, 2020).…”

Section: Between-group Contrasts: Cerebellummentioning

confidence: 98%

“…Each symbol summarizes findings from an included study. Upward arrow: increase; downward arrow: decrease; ≡: no significant change report that disease duration was correlated with microstructural anomalies (Ghazi Sherbaf et al, 2018;Hu et al, 2020;Huang et al, 2014;Lacey et al, 2019;Li et al, 2010Li et al, , 2020Matsui et al, 2007).…”

Section: Correlations Between Diffusivity/network Metrics and Pd Dura...mentioning

confidence: 99%

Brain microstructural alterations of depression in Parkinson's disease: A systematic review of diffusion tensor imaging studies

Salehi

Mohammadi

Gouravani

et al. 2022

Human Brain Mapping

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Depression, a leading cause of disability worldwide, is also the most prevalent psychiatric problem among Parkinson disease patients. Both depression and Parkinson disease are associated with microstructural anomalies in the brain. Diffusion tensor imaging techniques have been developed to characterize the abnormalities in cerebral tissue. We included 11 studies investigating brain microstructural abnormalities in depressed Parkinson's disease patients. The included studies found alterations to essential brain structural networks, including impaired network integrity for specific cortical regions, such as the temporal and frontal cortices. Additionally, findings indicate that microstructural changes in specific limbic structures, such as the prefrontotemporal regions and connecting white matter pathways, are altered in depressed Parkinson's disease compared to non-depressed Parkinson's disease and healthy controls. There remain inconsistencies between studies reporting DTI measures and depression severity in Parkinson disease participants. Additional research evaluating underlying neurobiological relationships between major depression, depressed Parkinson's disease, and non-depressed Parkinson's disease is required to disentangle further mechanisms that underlie depression and related somatic symptoms, in Parkinson disease.

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Topological changes in white matter connectivity network in patients with Parkinson’s disease and depression

Cited by 12 publications

References 33 publications

Alterations in intrinsic functional networks in Parkinson’s disease patients with depression: A resting‐state functional magnetic resonance imaging study

Alterations in intrinsic functional networks in Parkinson’s disease patients with depression: A resting‐state functional magnetic resonance imaging study

Disrupted Topological Organization in White Matter Networks in Unilateral Sudden Sensorineural Hearing Loss

Brain microstructural alterations of depression in Parkinson's disease: A systematic review of diffusion tensor imaging studies

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