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There is considerable evidence of functional abnormalities of the cortico-basal ganglia circuitry in affective disorders. However, it has been unknown whether this represented primary pathology within these circuits or altered activation as a result of aberrant input from other brain regions. The aim of this study was to test the hypothesis that cortico-basal ganglia circuit dysfunction represents primary pathology in unipolar depression. Eighteen male subjects with recurrent unipolar depression and eighteen controls without psychiatric illness were studied using functional MRI and functional connectivity analyses. All unipolar subjects were unmedicated and without current psychiatric comorbidity. Compared to controls, unipolar subjects exhibited altered connectivity between bilateral subcortical components of the circuitry (putamen-thalamus) and left hemisphere input and output components. Results provided evidence that functional abnormalities of these circuits represent primary pathology. Further, we found that age of onset but not duration of illness impacts circuit function. These findings suggest that the cortico-basal ganglia circuitry is likely one of several loci of primary pathology in major depression. Additionally, early age of onset is associated with greater circuit abnormality and as such may impact clinical characteristics and/or treatment response through a mechanism of decreasing functional connectivity of some circuit segments. Finally, altered cortico-basal ganglia circuit connectivity with cortical regions (anterior cingulate, inferior frontal gyrus and sensorimotor) may contribute to the emotional dysregulation, impaired emotional recognition and psychomotor symptoms associated with unipolar illness.
Pubmed ID: 22395089
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Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.
View all literature mentionsA toolbox for SPM which provides routines for region of interest analysis. Features include region of interest definition, combination of regions of interest with simple algebra, extraction of data for regions with and without SPM preprocessing (scaling, filtering), and statistical analyses of ROI data using the SPM statistics machinery.
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