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dc.contributor.author
Yao, Zhijun
dc.contributor.author
Liao, Mei
dc.contributor.author
Hu, Tao
dc.contributor.author
Zhang, Zhe
dc.contributor.author
Zhao, Yu
dc.contributor.author
Zheng, Fang
dc.contributor.author
Gutknecht, Jürg
dc.contributor.author
Majoe, Dennis
dc.contributor.author
Hu, Bin
dc.contributor.author
Li, Lingjiang
dc.date.accessioned
2017-12-18T11:17:17Z
dc.date.available
2017-10-31T03:30:41Z
dc.date.available
2017-12-18T11:17:17Z
dc.date.issued
2017-10
dc.identifier.other
10.3389/fnhum.2017.00492
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/202508
dc.identifier.doi
10.3929/ethz-b-000202508
dc.description.abstract
Generalized anxiety disorder (GAD) is one of common anxiety disorders in adolescents. Although adolescents with GAD are thought to be at high risk for other mental diseases, the disease-specific alterations have not been adequately explored. Recent studies have revealed the abnormal functional connectivity (FC) in adolescents with GAD. Most previous researches have investigated the static FC which ignores the fluctuations of FC over time and focused on the structures of “fear circuit”. To figure out the alterations of dynamic FC caused by GAD and the possibilities of dynamic FC as biomarkers, we propose an effective approach to identify adolescent GAD using temporal features derived from dynamic FC. In our study, the instantaneous synchronization of pairwise signals was estimated as dynamic FC. The Hurst exponent (H) and variance, indicating regularity and variable degree of a time series respectively, were calculated as temporal features of dynamic FC. By leave-one-out cross-validation (LOOCV), a relatively high accuracy of 88.46% could be achieved when H and variance of dynamic FC were combined as features. In addition, we identified the disease-related regions, including regions belonging to default mode (DM) and cerebellar networks. The results suggest that temporal features of dynamic FC could achieve a clinically acceptable diagnostic power and serve as biomarkers of adolescent GAD. Furthermore, our work could be helpful in understanding the pathophysiological mechanism of adolescent GAD.
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers Research Foundation
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
adolescent generalized anxiety disorder
en_US
dc.subject
temporal properties
en_US
dc.subject
dynamic functional connectivity
en_US
dc.subject
resting fMRI
en_US
dc.subject
biomarker
en_US
dc.title
An effective method to identify adolescent generalized anxiety disorder by temporal features of dynamic functional connectivity
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2017-10-13
ethz.journal.title
Frontiers in Human Neuroscience
ethz.journal.volume
11
en_US
ethz.pages.start
492
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Lausanne
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-10-31T03:30:42Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-12-18T11:17:21Z
ethz.rosetta.lastUpdated
2017-12-18T11:17:21Z
ethz.rosetta.versionExported
true
ethz.COinS
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