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Altered Effective Connectivity in Schizophrenic Patients With Auditory Verbal Hallucinations: A Resting-State fMRI Study With Granger Causality Analysis.

Jie Gao | Dongsheng Zhang | Lei Wang | Wei Wang | Yajuan Fan | Min Tang | Xin Zhang | Xiaoyan Lei | Yarong Wang | Jian Yang | Xiaoling Zhang
Frontiers in psychiatry | 2020

Auditory verbal hallucinations (AVH) are among the most common and prominent symptoms of schizophrenia. Although abnormal functional connectivity associated with AVH has been reported in multiple regions, the changes in information flow remain unclear. In this study, we aimed to elucidate causal influences related to AVH in key regions of auditory, language, and memory networks, by using Granger causality analysis (GCA).

Pubmed ID: 32670108

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This is a list of tools and resources that we have found mentioned in this publication.


SPM (tool)

RRID:SCR_007037

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.

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REST: a toolkit for resting-state fMRI (tool)

RRID:SCR_009641

A user-friendly convenient toolkit to calculate Functional Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low-Frequency Fluctuation (ALFF), Fractional ALFF (fALFF), Gragner causality and perform statistical analysis. You also can use REST to view your data, perform Monte Carlo simulation similar to AlphaSim in AFNI, calculate your images, regress out covariates, extract Region of Interest (ROI) time courses, reslice images, and sort DICOM files.

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