2016
DOI: 10.1002/hbm.23299
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Longitudinal changes in functional connectivity of cortico‐basal ganglia networks in manifests and premanifest huntington's disease

Abstract: Huntington's disease (HD) is a genetic neurological disorder resulting in cognitive and motor impairments. We evaluated the longitudinal changes of functional connectivity in sensorimotor, associative and limbic cortico-basal ganglia networks. We acquired structural MRI and resting-state fMRI in three visits one year apart, in 18 adult HD patients, 24 asymptomatic mutation carriers (preHD) and 18 gender- and age-matched healthy volunteers from the TRACK-HD study. We inferred topological changes in functional c… Show more

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Cited by 28 publications
(34 citation statements)
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“…Rather, it suggests there could be difficulty in linking visual information to emotional information. This may be in accordance with the findings of previous resting state fMRI studies in HD, which have highlighted abnormalities within visual and associative networks involving structures such as the left SMG and left MFG Gargouri et al, 2016). However, without additional investigation it is difficult to know whether RMET deficits may also reflect fundamental problems with internal emotional processes rather than compromised connectivity.…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…Rather, it suggests there could be difficulty in linking visual information to emotional information. This may be in accordance with the findings of previous resting state fMRI studies in HD, which have highlighted abnormalities within visual and associative networks involving structures such as the left SMG and left MFG Gargouri et al, 2016). However, without additional investigation it is difficult to know whether RMET deficits may also reflect fundamental problems with internal emotional processes rather than compromised connectivity.…”
Section: Discussionmentioning
confidence: 97%
“…Moreover, Wolf et al (2014) report resting-state functional connectivity abnormalities in early HD patients involving left MFG which are linked to cognitive assessment. Other studies have highlighted abnormalities in associative and visual networks involving the left SMG (Gargouri et al, 2016) and left MFG .…”
Section: Discussionmentioning
confidence: 99%
“…refs 14, 15, 16, 17). In agreement with many studies, we found no clinically meaningful motor signs, and cognitive task performance was similar to controls.…”
Section: Discussionmentioning
confidence: 99%
“…In several recent publications on suitable sample sizes for functional neuroimaging studies using graph theory analysis, it has been found that a group size of approximately 20 is sufficient (Gargouri et al, 2016;Sreenivasan et al, 2019). (Fazekas, Chawluk, Alavi, Hurtig, & Zimmerman, 1987).…”
Section: Sample Size and Statistical Analysesmentioning
confidence: 99%
“…Graph theory analysis also provides regional metrics to define the connectivity properties of particular brain regions, such as their connections with the rest of the brain, the length of these connections or the relationship with their nearest regions (Wang, Li, Metzak, He, & Woodward, 2010). Unlike previous techniques, graph theory approach permits one to not only visualize the overall connectivity pattern among all the brain regions, but also to quantitatively characterize the global organization (Medaglia, 2017; providing a novel insight into the biological mechanisms of many neurological diseases, such as mild cognitive impairment and Alzheimer's disease (Khazaee, Ebrahimzadeh, & Babajani-Feremi, 2016), epilepsy (Chiang, Stern, Engel Jr., Levin, & Haneef, 2014), Huntington's disease (Gargouri et al, 2016), and Parkinson's disease (Gottlich et al, 2013;Sreenivasan et al, 2019;Zhang, Liu, Chen, Liu, & Wang, 2015), among others. Only one previous study applied graph theory analysis to longitudinal rs-fMRI data in eight ET patients before and after a focal lesion in the ventralis intermedius nucleus of the thalamus, using MRI-guided high-intensity focused ultrasound.…”
Section: Introductionmentioning
confidence: 99%