1. Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia
- Author
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Oliver Gruber, Roberto Goya-Maldonado, Anja Richter, George Chahine, and Sarah Wolter
- Subjects
Radiological and Ultrasound Technology ,Resting state fMRI ,Working memory ,Thought disorder ,Inhibitory postsynaptic potential ,medicine.disease ,030227 psychiatry ,03 medical and health sciences ,0302 clinical medicine ,Neurology ,Supramarginal gyrus ,Neuroimaging ,Schizophrenia ,Endophenotype ,medicine ,Radiology, Nuclear Medicine and imaging ,Neurology (clinical) ,Anatomy ,medicine.symptom ,Psychology ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Advances in functional brain imaging have improved the search for potential endophenotypic markers in schizophrenia. Here, we employed independent component analysis (ICA) and dynamic causal modeling (DCM) in resting state fMRI on a sample of 35 schizophrenia patients, 20 first-degree relatives and 35 control subjects. Analysis on ICA-derived networks revealed increased functional connectivity between the left frontoparietal network (FPN) and left temporal and parietal regions in schizophrenia patients (P
- Published
- 2016
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