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Structural connectome alterations in prodromal and de novo Parkinson's disease patients

Authors :
Hannah S. E. Heng
Louis C.S. Tan
Wing Lok Au
Gerald M. Liew
Ming-Ching Wen
Eng-King Tan
Zheyu Xu
Jung-Lung Hsu
Ling Ling Chan
Source :
Parkinsonismrelated disorders. 45
Publication Year :
2017

Abstract

Although the clinical signs of prodromal Parkinson's disease (PD) have been identified, little is known about the neural features of the prodromal phase of PD (proPD). The aim of this study was to examine the structural network alterations from healthy aging to proPD and to early PD.181 non-demented and non-depressed participants comprising 55 healthy controls (HCs), 20 proPDs, and 106 de novo PD patients (dPDs) were included in the study and underwent clinical assessment and diffusion tensor imaging scanning. Graph-theoretical analysis and network-based statistics, with age and gender as nuisance covariates, were used.Compared with HCs and dPDs, proPD patients showed significantly elevated small-worldness and clustering coefficient (Ps 0.01) and greater local connectivity between regions relating to motor, olfactory and sleep functions (Ps 0.05). Although dPDs and HCs did not differ on all graph-theoretic metrics, dPD patients showed decreased connectivity within the prefrontal regions and between the left temporal and occipital lobes (P 0.05). The connectivity strength between these regions significantly distinguished between diagnostic groups. Connectivity between bilateral SMAs was correlated with UPSIT in HCs and with UPDRS-III in dPDs. Connectivity between the right SMA and putamen was correlated RBDSQ in proPDs.Increased network efficiency and connectivity of proPDs and decreased local connectivity of dPDs might suggest the emergence and dissipation of neural compensation in the prodromal phase and in early PD, respectively. Nonetheless, longitudinal studies are needed to follow up the long-term structural network changes of proPD patients.

Details

ISSN :
18735126
Volume :
45
Database :
OpenAIRE
Journal :
Parkinsonismrelated disorders
Accession number :
edsair.doi.dedup.....9f4583a36c94110eabb496b95161212e