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Applications of resting-state functional MRI in low-frequency fluctuation combined with voxel-based mor-phometry in schizophrenia / 实用医学杂志
The Journal of Practical Medicine ; (24): 2380-2385, 2017.
Article in Chinese | WPRIM | ID: wpr-617116
ABSTRACT
Objective To research the applications of resting-state functional MRI in conjunction with voxel-based morphometry on cerebral functions and structures in patients with schizophrenia. Methods Thirty-two patients with schizophrenia and 32 healthy people underwent resting state functional magnetic resonance imaging (Rs-fMRI)and sagittal scanning T1WI with 3D FFE Pulse Sequence. Rest1.8 software was applied to calculate the differences of amplitude of standardized low-frequency fluctuation(ALFF)between the two groups,then the voxel-based morphometry(VBM)data of abnormal brain regions were evaluated to compare the differences of grey matter intensity. Finally,combining with ALEF and VBM,we explored the changes of cerebral functions and structures. Results As compared to the control group ,the ALFF-elevated regions were the right putamen ,the left orbital frontal cortex extending to the left putamen and left dorsal-lateral superior frontal gyrus;the ALFF-decreased regions were the right inferior tempotalgyrus,the left posterior cingulated gyrus and the left angular gyrus(P<0.05). No elevated regions of grey matter intensity were found in the patient group. Conclusions Extensive abnormal active regions of the brain under resting state could be found in patients with schizophrenia ,the grey matter intensity of abnormal regions also decreased generally. They are in accordance with the glutamate-hypothesis of schizophrenia ,which involves extensive impairments of neurons ,disorders of neurotransmitter′s circulations and balances.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: The Journal of Practical Medicine Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: The Journal of Practical Medicine Year: 2017 Type: Article