Journal article
Dynamic functional network connectivity in Huntington's disease and its associations with motor and cognitive measures
Human brain mapping, Vol.40(6), pp.1955-1968
04/15/2019
DOI: 10.1002/hbm.24504
PMCID: PMC6865767
PMID: 30618191
Abstract
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.
Details
- Title: Subtitle
- Dynamic functional network connectivity in Huntington's disease and its associations with motor and cognitive measures
- Creators
- Flor A Espinoza - Mind Research NetworkJingyu Liu - Mind Research NetworkJennifer Ciarochi - Georgia State UniversityJessica A Turner - Georgia State UniversityVictor M Vergara - Mind Research NetworkArvind Caprihan - Mind Research NetworkMaria Misiura - Georgia State UniversityHans J Johnson - University of IowaJeffrey D Long - University of IowaJeremy H Bockholt - Mind Research NetworkJane S Paulsen - University of IowaVince D Calhoun - University of New Mexico Hospital
- Resource Type
- Journal article
- Publication Details
- Human brain mapping, Vol.40(6), pp.1955-1968
- DOI
- 10.1002/hbm.24504
- PMID
- 30618191
- PMCID
- PMC6865767
- NLM abbreviation
- Hum Brain Mapp
- ISSN
- 1065-9471
- eISSN
- 1097-0193
- Grant note
- 1539067 / National Science Foundation U01NS082083 / NIH HHS R01NS040068, R01NS054893, R01EB020407 / NIH HHS P20GM103472, P30GM122734 / NIH HHS A-5008 / CHDI Foundation R01 EB020407 / NIBIB NIH HHS P30GM122734 / NIH HHS
- Language
- English
- Date published
- 04/15/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry; Psychological and Brain Sciences; Biostatistics
- Record Identifier
- 9984185465602771
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