2019
DOI: 10.1016/j.bbr.2019.111982
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Abnormal functional network of the thalamic subregions in adult patients with obsessive-compulsive disorder

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Cited by 29 publications
(21 citation statements)
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“…Interestingly, our results were more in line with previous connectivity studies using resting‐state functional imaging in patients with OCD. For example, functional connectivity alterations in OCD have been found between the caudate and temporo‐occipital regions 60‐62 and between the thalamus and occipital cortex 63‐65 . Speculatively, our findings of reduced structural connectivity between occipital and subcortical structures might be associated with visuospatial deficits, which are observed in patients with OCD 66‐70 .…”
Section: Discussionmentioning
confidence: 52%
“…Interestingly, our results were more in line with previous connectivity studies using resting‐state functional imaging in patients with OCD. For example, functional connectivity alterations in OCD have been found between the caudate and temporo‐occipital regions 60‐62 and between the thalamus and occipital cortex 63‐65 . Speculatively, our findings of reduced structural connectivity between occipital and subcortical structures might be associated with visuospatial deficits, which are observed in patients with OCD 66‐70 .…”
Section: Discussionmentioning
confidence: 52%
“…FC patterns at a resting state display a temporal correlation and provide the communication and interaction between spatially separated brain regions [10]. Previous studies applied a region-of-interest (ROI) approach to investigate the FC alterations in given brain regions at rest in OCD with inconsistent results [11][12][13]. The ROI analysis estimates the strength and significant series of correlations between a given brain region and all other brain regions.…”
Section: Introductionmentioning
confidence: 99%
“…The Brainnetome Atlas template utilized the differences in the structural connection pattern of each voxel [diffusion tensor imaging (DTI) for fiber tracking] and aggregated the voxels with the same connection patterns by a clustering algorithm to complete the definition of brain region boundary ( Fan et al, 2016 ; Paxinos, 2016 ). In other studies, this template has provided a more detailed understanding of the differences in functional connectivity in different subregions of brain areas, such as the thalamus ( Li et al, 2019 ) and Broca’s area ( Zhang et al, 2017 ). Rs-fMRI is a non-invasive method to investigate brain activity and neural network connectivity ( Fox and Greicius, 2010 ; Prodoehl et al, 2014 ).…”
Section: Introductionmentioning
confidence: 99%