Literature DB >> 28873046

Functional Brain Connectome and Its Relation to Hoehn and Yahr Stage in Parkinson Disease.

Xueling Suo1, Du Lei1, Nannan Li1, Lan Cheng1, Fuqin Chen1, Meiyun Wang1, Graham J Kemp1, Rong Peng1, Qiyong Gong1.   

Abstract

Purpose To use resting-state functional magnetic resonance (MR) imaging and graph theory approaches to investigate the brain functional connectome and its potential relation to disease severity in Parkinson disease (PD). Materials and Methods This case-control study was approved by the local research ethics committee, and all participants provided informed consent. There were 153 right-handed patients with PD and 81 healthy control participants recruited who were matched for age, sex, and handedness to undergo a 3-T resting-state functional MR examination. The whole-brain functional connectome was constructed by thresholding the Pearson correlation matrices of 90 brain regions, and the topologic properties were analyzed by using graph theory approaches. Nonparametric permutation tests were used to compare topologic properties, and their relationship to disease severity was assessed. Results The functional connectome in PD showed abnormalities at the global level (ie, decrease in clustering coefficient, global efficiency, and local efficiency, and increase in characteristic path length) and at the nodal level (decreased nodal centralities in the sensorimotor cortex, default mode, and temporal-occipital regions; P < .001, false discovery rate corrected). Further, the nodal centralities in left postcentral gyrus and left superior temporal gyrus correlated negatively with Unified Parkinson's Disease Rating Scale III score (P = .038, false discovery rate corrected, r = -0.198; and P = .009, false discovery rate corrected, r = -0.270, respectively) and decreased with increasing Hoehn and Yahr stage in patients with PD. Conclusion The configurations of brain functional connectome in patients with PD were perturbed and correlated with disease severity, notably with those responsible for motor functions. These results provide topologic insights into understanding the neural functional changes in relation to disease severity of PD. © RSNA, 2017 Online supplemental material is available for this article. An earlier incorrect version of this article appeared online. This article was corrected on September 11, 2017.

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Year:  2017        PMID: 28873046     DOI: 10.1148/radiol.2017162929

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  28 in total

1.  Altered functional network topology correlates with clinical measures in very early-stage, drug-naïve Parkinson's disease.

Authors:  Karthik Sreenivasan; Virendra Mishra; Christopher Bird; Xiaowei Zhuang; Zhengshi Yang; Dietmar Cordes; Ryan R Walsh
Journal:  Parkinsonism Relat Disord       Date:  2019-02-07       Impact factor: 4.891

2.  Stochastic Rank Aggregation for the Identification of Functional Neuromarkers.

Authors:  Paola Galdi; Michele Fratello; Francesca Trojsi; Antonio Russo; Gioacchino Tedeschi; Roberto Tagliaferri; Fabrizio Esposito
Journal:  Neuroinformatics       Date:  2019-10

3.  Structural and Functional Network Dysfunction in Parkinson Disease.

Authors:  Todd M Herrington; Jessica Briscoe; Emad Eskandar
Journal:  Radiology       Date:  2017-12       Impact factor: 11.105

4.  Iron-related nigral degeneration influences functional topology mediated by striatal dysfunction in Parkinson's disease.

Authors:  Xiaojun Guan; Yuyao Zhang; Hongjiang Wei; Tao Guo; Qiaoling Zeng; Cheng Zhou; Jiaqiu Wang; Ting Gao; Min Xuan; Quanquan Gu; Xiaojun Xu; Peiyu Huang; Jiali Pu; Baorong Zhang; Chunlei Liu; Minming Zhang
Journal:  Neurobiol Aging       Date:  2018-11-22       Impact factor: 4.673

Review 5.  Towards understanding neural network signatures of motor skill learning in Parkinson's disease and healthy aging.

Authors:  Evelien Nackaerts; Nicholas D'Cruz; Bauke W Dijkstra; Moran Gilat; Thomas Kramer; Alice Nieuwboer
Journal:  Br J Radiol       Date:  2019-05-14       Impact factor: 3.039

Review 6.  Global Alterations of Whole Brain Structural Connectome in Parkinson's Disease: A Meta-analysis.

Authors:  Chao Zuo; Xueling Suo; Huan Lan; Nanfang Pan; Song Wang; Graham J Kemp; Qiyong Gong
Journal:  Neuropsychol Rev       Date:  2022-09-20       Impact factor: 6.940

7.  Normalization effect of levodopa on hierarchical brain function in Parkinson's disease.

Authors:  Tao Guo; Min Xuan; Cheng Zhou; Jingjing Wu; Ting Gao; Xueqin Bai; Xiaocao Liu; Luyan Gu; Ruiqi Liu; Zhe Song; Quanquan Gu; Peiyu Huang; Jiali Pu; Baorong Zhang; Xiaojun Xu; Xiaojun Guan; Minming Zhang
Journal:  Netw Neurosci       Date:  2022-06-01

8.  A multiple-tissue-specific magnetic resonance imaging model for diagnosing Parkinson's disease: a brain radiomics study.

Authors:  Xiao-Jun Guan; Tao Guo; Cheng Zhou; Ting Gao; Jing-Jing Wu; Victor Han; Steven Cao; Hong-Jiang Wei; Yu-Yao Zhang; Min Xuan; Quan-Quan Gu; Pei-Yu Huang; Chun-Lei Liu; Jia-Li Pu; Bao-Rong Zhang; Feng Cui; Xiao-Jun Xu; Min-Ming Zhang
Journal:  Neural Regen Res       Date:  2022-12       Impact factor: 6.058

Review 9.  Resting-state Functional MRI in Parkinsonian Syndromes.

Authors:  Massimo Filippi; Elisabetta Sarasso; Federica Agosta
Journal:  Mov Disord Clin Pract       Date:  2019-02-08

Review 10.  Functional Connectome in Parkinson's Disease and Parkinsonism.

Authors:  Sule Tinaz
Journal:  Curr Neurol Neurosci Rep       Date:  2021-04-04       Impact factor: 5.081

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