Dynamic functional network connectivity in Huntington's disease and its associations with motor and cognitive measures.
Huntington's disease
dynamic functional network connectivity
group independent component analysis
resting-state fMRI
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
15 04 2019
15 04 2019
Historique:
received:
20
08
2018
revised:
12
12
2018
accepted:
14
12
2018
pubmed:
9
1
2019
medline:
9
4
2020
entrez:
9
1
2019
Statut:
ppublish
Résumé
Dynamic functional network connectivity (dFNC) is an expansion of traditional, static FNC that measures connectivity variation among brain networks throughout scan duration. We used a large resting-state fMRI (rs-fMRI) sample from the PREDICT-HD study (N = 183 Huntington disease gene mutation carriers [HDgmc] and N = 78 healthy control [HC] participants) to examine whole-brain dFNC and its associations with CAG repeat length as well as the product of scaled CAG length and age, a variable representing disease burden. We also tested for relationships between functional connectivity and motor and cognitive measurements. Group independent component analysis was applied to rs-fMRI data to obtain whole-brain resting state networks. FNC was defined as the correlation between RSN time-courses. Dynamic FNC behavior was captured using a sliding time window approach, and FNC results from each window were assigned to four clusters representing FNC states, using a k-means clustering algorithm. HDgmc individuals spent significantly more time in State-1 (the state with the weakest FNC pattern) compared to HC. However, overall HC individuals showed more FNC dynamism than HDgmc. Significant associations between FNC states and genetic and clinical variables were also identified. In FNC State-4 (the one that most resembled static FNC), HDgmc exhibited significantly decreased connectivity between the putamen and medial prefrontal cortex compared to HC, and this was significantly associated with cognitive performance. In FNC State-1, disease burden in HDgmc participants was significantly associated with connectivity between the postcentral gyrus and posterior cingulate cortex, as well as between the inferior occipital gyrus and posterior parietal cortex.
Identifiants
pubmed: 30618191
doi: 10.1002/hbm.24504
pmc: PMC6865767
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
1955-1968Subventions
Organisme : NIH HHS
ID : U01NS082083
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM103472
Pays : United States
Organisme : NIGMS NIH HHS
ID : P30 GM122734
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS082083
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS040068
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB006841
Pays : United States
Organisme : NIH HHS
ID : P20GM103472, P30GM122734
Pays : United States
Organisme : National Science Foundation
ID : 1539067
Pays : International
Organisme : CHDI Foundation
ID : A-5008
Pays : International
Organisme : NIH HHS
ID : R01NS040068, R01NS054893, R01EB020407
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB020407
Pays : United States
Organisme : NIH HHS
ID : P30GM122734
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS054893
Pays : United States
Informations de copyright
© 2019 Wiley Periodicals, Inc.
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