Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia

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...

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Veröffentlicht in:Human brain mapping 2017-04, Vol.38 (4), p.1741-1750
Hauptverfasser: Chahine, George, Richter, Anja, Wolter, Sarah, Goya‐Maldonado, Roberto, Gruber, Oliver
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container_title Human brain mapping
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creator Chahine, George
Richter, Anja
Wolter, Sarah
Goya‐Maldonado, Roberto
Gruber, Oliver
description 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 
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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 &lt; 0.001). First‐degree relatives shared this hyperconnectivity, in particular in the supramarginal gyrus (SMG; P = 0.008). DCM analysis was employed to further explore underlying effective connectivity. Results showed increased inhibitory connections to the left angular gyrus (AG) in schizophrenia patients from all other nodes of the left FPN (P &lt; 0.001), and in particular from the left SMG (P = 0.001). Relatives also showed a pattern of increased inhibitory connections to the left AG (P = 0.008). Furthermore, the patient group showed increased excitatory connectivity between the left fusiform gyrus and the left SMG (P = 0.002). This connection was negatively correlated to inhibitory afferents to the left AG (P = 0.005) and to the negative symptom score on the PANSS scale (P = 0.001, r = −0.51). Left frontoparietotemporal dysfunction in schizophrenia has been previously associated with a range of abnormalities, including formal thought disorder, working memory dysfunction and sensory hallucinations. Our analysis uncovered new potential endophenotypic markers of schizophrenia and shed light on the organization of the left FPN in patients and their first‐degree relatives. 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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 &lt; 0.001). First‐degree relatives shared this hyperconnectivity, in particular in the supramarginal gyrus (SMG; P = 0.008). DCM analysis was employed to further explore underlying effective connectivity. Results showed increased inhibitory connections to the left angular gyrus (AG) in schizophrenia patients from all other nodes of the left FPN (P &lt; 0.001), and in particular from the left SMG (P = 0.001). Relatives also showed a pattern of increased inhibitory connections to the left AG (P = 0.008). Furthermore, the patient group showed increased excitatory connectivity between the left fusiform gyrus and the left SMG (P = 0.002). This connection was negatively correlated to inhibitory afferents to the left AG (P = 0.005) and to the negative symptom score on the PANSS scale (P = 0.001, r = −0.51). Left frontoparietotemporal dysfunction in schizophrenia has been previously associated with a range of abnormalities, including formal thought disorder, working memory dysfunction and sensory hallucinations. Our analysis uncovered new potential endophenotypic markers of schizophrenia and shed light on the organization of the left FPN in patients and their first‐degree relatives. Hum Brain Mapp 38:1741–1750, 2017. © 2017 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>28009080</pmid><doi>10.1002/hbm.23477</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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subjects Abnormalities
Adult
biomarker
Brain
Brain mapping
Endophenotypes
Female
Frontal Lobe - diagnostic imaging
Frontal Lobe - physiopathology
Functional Laterality - physiology
Functional magnetic resonance imaging
Hallucinations
Humans
Image Processing, Computer-Assisted
Independent component analysis
Magnetic Resonance Imaging
Male
Markers
Mental disorders
Models, Neurological
Nerve Net - diagnostic imaging
Nerve Net - physiopathology
Neural networks
Neuroimaging
Nonlinear Dynamics
Oxygen - blood
Parietal Lobe - diagnostic imaging
Parietal Lobe - physiopathology
Patients
Psychiatric Status Rating Scales
Rest
Schizophrenia
Schizophrenia - diagnostic imaging
Schizophrenia - pathology
Schizophrenia - physiopathology
Sensory evaluation
Short term memory
title Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia
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