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Related Experiment Video

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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Semantic network disconnection in formal thought disorder.

Helge Horn¹, Kay Jann, Andrea Federspiel

¹University Hospital of Psychiatry, Bern, Switzerland. horn@puk.unibe.ch

Neuropsychobiology

|July 17, 2012

Summary

Formal thought disorder (FTD) in schizophrenia is linked to disruptions in the brain's left semantic network. FTD severity directly correlates with the extent of this network's impairment.

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Area of Science:

Neuroimaging
Cognitive Neuroscience
Psychiatry

Background:

Schizophrenia patients with formal thought disorder (FTD) exhibit abnormalities in left-side semantic brain regions.
Previous studies indicate structural and functional deficits in these areas.

Purpose of the Study:

To investigate the network function of brain regions associated with FTD in schizophrenia patients.
To examine how FTD severity relates to the functional connectivity within the semantic network.

Main Methods:

Functional MRI (fMRI) was used with a passive word reading paradigm in 16 schizophrenia patients and 18 healthy controls.
Independent component analysis (ICA) identified distinct brain networks.
Spatial similarity analysis quantified differences in network configuration.

Main Results:

A common semantic network was identified in both groups, including the left inferior frontal, angular, and middle temporal gyri.
The semantic networks of patients and controls differed, with the divergence increasing with FTD severity.
Reduced contribution from the left inferior frontal gyrus (Brodmann areas 45 and 47) was observed in patients with higher FTD severity.

Conclusions:

FTD severity in schizophrenia is associated with a disrupted left semantic network.
FTD may result from frontal-parietal/temporal disconnection caused by interacting structural and functional abnormalities within the left semantic network.