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Related Experiment Video

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Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography dEEG

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Altered Brain Network Dynamics in Schizophrenia: A Cognitive Electroencephalography Study.

Jodie Naim-Feil¹, Mica Rubinson², Dominik Freche¹

¹Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel; Sagol Center for Brain and Mind, Baruch Ivcher School of Psychology, Interdisciplinary Center (IDC), Herzliya, Israel.

Biological Psychiatry. Cognitive Neuroscience and Neuroimaging

|February 5, 2018

Summary

Schizophrenia patients show altered brain network dynamics during cognitive tasks, with changes in connectivity strength and efficiency. These dynamic network differences are time-sensitive and may explain cognitive impairments in schizophrenia.

Keywords:

Cognition Connectivity Dynamics Graph theory Network Schizophrenia

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Area of Science:

Neuroscience
Cognitive Science
Psychiatry

Background:

Cognitive symptoms in schizophrenia are linked to altered brain network coordination.
The temporal dynamics of these networks and their relation to cognitive deficits require further investigation.

Purpose of the Study:

To explore dynamic patterns of brain network connectivity in schizophrenia patients during a cognitive task.
To understand how these dynamic network alterations relate to cognitive features of the disorder.

Main Methods:

Electroencephalography (EEG) data were collected from 21 schizophrenia patients and 28 healthy controls during a cognitive task.
Pearson cross-correlation was used to construct static and dynamic network connectivity matrices from EEG data.
Global and regional network measures were analyzed and compared between groups.

Main Results:

Schizophrenia patients exhibited increased global efficiency and decreased clustering in brain networks.
Reduced network strength was observed in frontal, parietal, and sensory-motor areas, with increased strength in occipital lobes.
Network differences were time-sensitive, peaking around 900 ms post-stimulus.

Conclusions:

Schizophrenia is associated with altered dynamic brain network connectivity, affecting both global and regional measures.
These time-sensitive network abnormalities may underlie cognitive dysfunction and reflect reduced network flexibility.
Further research on network dynamics is crucial for understanding schizophrenia and developing biomarkers for diagnosis and treatment.