Impaired topological architecture of brain structural networks in idiopathic Parkinson’s disease: a DTI study

Li, Changhong; Huang, Biao; Zhang, Ruibin; Ma, Qing; Yang, Wenjing; Wang, Limin; Xu, Qin; Feng, Jieying; Liu, Liqing; Zhang, Yuhu; Huang, Ruiwang

doi:10.1007/s11682-015-9501-6

Cited by 58 publications

(49 citation statements)

References 85 publications

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“… 9 Predominantly neurodegenerative diseases such as Parkinson disease seem to be associated with a pronounced loss of peripheral and feeder connections. 11 , 26 Within this context, our findings indicate that diffuse perturbations of brain connectivity in PPMS result in a pronounced loss of connectivity within the rich club, and that the overall pattern of connectivity loss differs from primarily neurodegenerative diseases. However, this cross-sectional study does not allow to distinguish between the impact of inflammatory and neurodegenerative mechanisms on the assessed connectivity loss.…”

Section: Discussionmentioning

confidence: 71%

Reduced rich-club connectivity is related to disability in primary progressive MS

Stellmann

Hodecker

Cheng

et al. 2017

Neurol Neuroimmunol Neuroinflamm

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Objective:To investigate whether the structural connectivity of the brain's rich-club organization is altered in patients with primary progressive MS and whether such changes to this fundamental network feature are associated with disability measures.Methods:We recruited 37 patients with primary progressive MS and 21 healthy controls for an observational cohort study. Structural connectomes were reconstructed based on diffusion-weighted imaging data using probabilistic tractography and analyzed with graph theory.Results:We observed the same topological organization of brain networks in patients and controls. Consistent with the originally defined rich-club regions, we identified superior frontal, precuneus, superior parietal, and insular cortex in both hemispheres as rich-club nodes. Connectivity within the rich club was significantly reduced in patients with MS (p = 0.039). The extent of reduced rich-club connectivity correlated with clinical measurements of mobility (Kendall rank correlation coefficient τ = −0.20, p = 0.047), hand function (τ = −0.26, p = 0.014), and information processing speed (τ = −0.20, p = 0.049).Conclusions:In patients with primary progressive MS, the fundamental organization of the structural connectome in rich-club and peripheral nodes was preserved and did not differ from healthy controls. The proportion of rich-club connections was altered and correlated with disability measures. Thus, the rich-club organization of the brain may be a promising network phenotype for understanding the patterns and mechanisms of neurodegeneration in MS.

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Section: Discussionmentioning

confidence: 71%

Reduced rich-club connectivity is related to disability in primary progressive MS

Stellmann

Hodecker

Cheng

et al. 2017

Neurol Neuroimmunol Neuroinflamm

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“…A similar study by Batista et al suggested that cognitive and motor decline in early stages of PD is associated with microstructural changes of white‐matter that extended to the frontal, parietal and temporal regions [Batista et al, ]. These findings were confirmed by a recent study conducted by Li et al in which a widespread pattern of decreased efficiency was found in PD patients relative to healthy controls [Li et al, ].…”

Section: Introductionmentioning

confidence: 64%

“…In very recent years few studies have also investigated the presence of altered structural connectivity patterns in PD patients using DTI‐based graph analyses [Aarabi et al, ; Batista et al, ; Li et al, ; Pereira et al, ]. For example, Aarabi and colleagues combined DTI and network‐based statistics (NBS) to reveal reduced connectivity in PD in networks comprising motor and non‐motor regions such as cingulum, temporal and frontal regions, parahippocampus, olfactory lobe, and occipital lobe [Aarabi et al, ].…”

Section: Introductionmentioning

confidence: 99%

Characterizing structural neural networks in de novo Parkinson disease patients using diffusion tensor imaging

Nigro

Riccelli

Passamonti

et al. 2016

Human Brain Mapping

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Parkinson disease (PD) can be considered as a brain multisystemic disease arising from dysfunction in several neural networks. The principal aim of this study was to assess whether large-scale structural topological network changes are detectable in PD patients who have not been exposed yet to dopaminergic therapy (de novo patients). Twenty-one drug-naïve PD patients and thirty healthy controls underwent a 3T structural MRI. Next, Diffusion Tensor Imaging (DTI) and graph theoretic analyses to compute individual structural white-matter (WM) networks were combined. Centrality (degree, eigenvector centrality), segregation (clustering coefficient), and integration measures (efficiency, path length) were assessed in subject-specific structural networks. Moreover, Network-based statistic (NBS) was used to identify whether and which subnetworks were significantly different between PD and control participants. De novo PD patients showed decreased clustering coefficient and strength in specific brain regions such as putamen, pallidum, amygdala, and olfactory cortex compared with healthy controls. Moreover, NBS analyses demonstrated that two specific subnetworks of reduced connectivity characterized the WM structural organization of PD patients. In particular, several key pathways in the limbic system, basal ganglia, and sensorimotor circuits showed reduced patterns of communications when comparing PD patients to controls. This study shows that PD is characterized by a disruption in the structural connectivity of several motor and non-motor regions. These findings provide support to the presence of disconnectivity mechanisms in motor (basal ganglia) as well as in non-motor (e.g., limbic, olfactory) circuits at an early disease stage of PD. Hum Brain Mapp 37:4500-4510, 2016. © 2016 Wiley Periodicals, Inc.

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“…Diffusion tensor imaging (DTI) is a powerful tool to investigate microstructural alterations to the human brain in vivo. In PD, this technique has been combined with voxel‐ or region‐of‐interest (ROI)‐wise (Atkinson‐Clement, Pinto, Eusebio, & Coulon, ; Schwarz et al, ), and graph‐theoretical analyses (Aarabi et al, ; Li et al, ; Nigro et al, ; Pereira et al, ). Tract‐based spatial statistics (TBSS) is a voxel‐wise method, specifically developed to minimize the methodological pitfalls caused by misalignment and misregistration in conventional voxel‐based analyses (Smith et al, ).…”

Section: Introductionmentioning

confidence: 99%

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

Cuiping

Liu

et al. 2018

Human Brain Mapping

106

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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.

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Impaired topological architecture of brain structural networks in idiopathic Parkinson’s disease: a DTI study

Cited by 58 publications

References 85 publications

Reduced rich-club connectivity is related to disability in primary progressive MS

Reduced rich-club connectivity is related to disability in primary progressive MS

Characterizing structural neural networks in de novo Parkinson disease patients using diffusion tensor imaging

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

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