{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T17:00:07Z","timestamp":1790182807056,"version":"4.1.0"},"reference-count":67,"publisher":"Canadian Science Publishing","issue":"2","license":[{"start":{"date-parts":[[2014,3,1]],"date-time":"2014-03-01T00:00:00Z","timestamp":1393632000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.nrcresearchpress.com\/page\/about\/CorporateTextAndDataMining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Psychiatry Neurosci"],"published-print":{"date-parts":[[2014,3]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Functional neural impairments have been documented in people with symptomatic Huntington disease (symp-HD) and in premanifest gene carriers (pre-HD). This study aimed to characterize synchrony in resting state cerebral networks in both pre-HD and symp-HD populations and to determine its association with disease burden and neurocognitive functions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We acquired functional magnetic resonance imaging (fMRI) data from pre-HD, symp-HD and healthy control participants. The fMRI data were analyzed using multisubject independent component analysis and dual regression. We compared networks of interest among the groups using a nonparametric permutation method and correcting for multiple comparisons.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Our study included 25 people in the pre-HD, 23 in the symp-HD and 18 in the healthy control groups. Compared with the control group, the pre-HD group showed decreased synchrony in the sensorimotor and dorsal attention networks; decreased level of synchrony in the sensorimotor network was associated with poorer motor performance. Compared with the control group, the symp-HD group showed widespread reduction in synchrony in the dorsal attention network, which was associated with poorer cognitive performance. The posterior putamen and superior parietal cortex were functionally disconnected from the frontal executive network in the symp-HD compared with control and pre-HD groups. Furthermore, the left frontoparietal network showed areas of increased synchrony in the symp-HD compared with the pre-HD group.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Limitations:<\/jats:title>\n                    <jats:p>We could not directly correct for influence of autonomic changes (e.g., heart rate) and respiration on resting state synchronization.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Our findings suggest that aberrant synchrony in the sensorimotor and dorsal attention networks may serve as an early signature of neural change in pre-HD individuals. The altered synchrony in dorsal attention, frontoparietal and corticostriatal networks may contribute to the development of clinical symptoms in people with Huntington disease.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1503\/jpn.120226","type":"journal-article","created":{"date-parts":[[2014,6,18]],"date-time":"2014-06-18T13:47:29Z","timestamp":1403099249000},"page":"87-96","source":"Crossref","is-referenced-by-count":43,"title":["Abnormal synchrony of resting state networks in premanifest and symptomatic Huntington disease: the IMAGE-HD study"],"prefix":"10.1139","volume":"39","author":[{"given":"Govinda R.","family":"Poudel","sequence":"first","affiliation":[{"name":"School of Psychology, Psychiatry and Psychological Medicine, Monash University, Clayton, VIC, Australia"},{"name":"Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia"},{"name":"Monash e-Research Centre, Monash University, Clayton, VIC, Australia"},{"name":"VLSCI Life Sciences Computation 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