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Author Notes:

Editorial correspondence should be addressed to: Zhihao Li, PhD., Institute of Affective and Social Neuroscience, School of Psychology and Sociology, Shenzhen University, Science and Technology Building 536; 3688 Nanhai Ave, Shenzhen 518060, Guangdong, P. R. China, Tel: +86-755-2642-1385, zhihao_li@szu.edu.cn. Xiaoping Hu, PhD., Department of Bioengineering, University of California at Riverside, Materials Science and Engineering Building 203; 900 University Ave, Riverside 92521, California, U.S.A., Tel.: +1-951-827-2925, Fax: +1-951-827-6416, xhu@engr.ucr.edu

These authors contributed equally to this manuscript

No co-authors have any conflict of interest to declare.

Support to KS from the Veterans Administration is gratefully acknowledged.


Research Funding:

This work was supported by the Emory University Research Council (UL1 RR025008), the Natural Science Foundation of China and SZU (No. 31671169/31530031 and No.201564/000099), a grant to the Dystonia Coalition from the Office of Rare Diseases Research at the National Center for Clinical and Translational Science (U54 TR0001456), and the National Institute of Neurological Disorders and Stroke (U54 NS067501).


  • Science & Technology
  • Life Sciences & Biomedicine
  • Neurosciences
  • Neuroimaging
  • Radiology, Nuclear Medicine & Medical Imaging
  • Neurosciences & Neurology
  • cervical dystonia
  • resting-state fMRI
  • functional connectivity
  • fractional amplitude of low-frequency fluctuation
  • regional homogeneity
  • support vector machine

Alterations of resting-state fMRI measurements in individuals with cervical dystonia


Journal Title:

Human Brain Mapping


Volume 38, Number 8


, Pages 4098-4108

Type of Work:

Article | Post-print: After Peer Review


Cervical dystonia (CD) is a neurological disorder with typical symptoms of involuntary and abnormal movements and postures of the head. CD-associated alterations of functional brain networks have not been well characterized. Previous studies of CD using resting-state functional MRI (rfMRI) are limited in two aspects: (i) the analyses were not directly focused on the functional brain network related to head movement and (ii) rfMRI measurements other than functional connectivity (FC) were not investigated. The present study examined alterations of FC in CD by capitalizing on newly identified brain regions supporting isometric head rotation (Prudente et al.: J Neurosci 35 (2015) 9163–9172). In addition to FC, which only reflects inter-regional signal synchronization, local, or intraregional alterations were also examined using rfMRI measurements of the fractional amplitude of low-frequency fluctuations and regional homogeneity (ReHo). Finally, with alterations of different rfMRI measures identified, a support vector machine (SVM) learning algorithm was implemented for group classification. The results revealed both inter- (FC) and intra-regional (ReHo) alterations extensively distributed in both cortical and subcortical structures; and common alterations of these measures were identified bilaterally in the postcentral gyrus as well as in the basal ganglia and thalamus. Of the rfMRI features examined, seven of them (four FC and three ReHo measures) survived the SVM procedure of recursive feature elimination and together provided the highest group classification accuracy of 90.6%. The present findings extend previous studies of rfMRI in CD and offer insight into the underlying pathophysiology of the disorder in relation to network dysfunction and somatosensory disturbances. Hum Brain Mapp 38:4098–4108, 2017. © 2017 Wiley Periodicals, Inc.

Copyright information:

© 2017 Wiley Periodicals, Inc.

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