Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4934021 | Psychiatry Research: Neuroimaging | 2017 | 6 Pages |
Abstract
It has been frequently reported that schizophrenia patients have reduced functional lateralization in the areas related to language processing. Furthermore, there is evidence supporting that schizophrenia patients have disrupted functional connectivity in the bilateral frontoparietal networks (FPNs), of which the left is strongly associated with a cognition-language paradigm, using resting-state functional magnetic resonance imaging (rsfMRI). To examine the laterality of resting-state functional connectivity in schizophrenia, we investigated the bilateral FPNs. We investigated 41 schizophrenia and 35 healthy participants using independent component analysis for rsfMRI. We extracted mean connectivity values of both left and right FPNs and calculated their laterality index by (left - right)/(left + right). Subsequently, we investigated group differences of these values and the correlation between these values and symptoms. In schizophrenia, mean connectivity values of both left and right FPNs were significantly lower than in healthy controls, whereas their laterality indices were not significantly different. However, correlation analyses revealed that the laterality index was negatively correlated with positive symptoms, and that mean connectivity of left FPN was negatively correlated with depressive symptoms in schizophrenia. Our results suggest that language-related networks and their laterality might be one of the neural correlates of schizophrenia symptoms.
Keywords
ROISCID-NPrsfMRIFPNPANSSFOVEPISCID-PFWHMICAResting state fMRILateralityIndependent component analysisecho planar imagingResting-state functional magnetic resonance imagingJARTecho timeRepetition timeFrontoparietal networkAsymmetryfull width at half maximumDepressive symptomsPositive symptomspositive and negative syndrome scaleregion-of-interestField of view
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Authors
Shuraku Son, Jun Miyata, Yasuo Mori, Masanori Isobe, Shin-ichi Urayama, Toshihiko Aso, Hidenao Fukuyama, Toshiya Murai, Hidehiko Takahashi,