Activity flow underlying abnormalities in brain activations and cognition in schizophrenia

Area of Science:

• Neuroscience
• Cognitive Science
• Psychiatry

Background:

• Cognitive dysfunction is a key symptom in schizophrenia (SZ).
• The neural mechanisms underlying cognitive deficits in SZ are not fully understood.
• Aberrant brain activations are observed in SZ, but their origin remains unclear.

Purpose of the Study:

• To investigate the role of aberrant brain activity flow in cognitive dysfunction in SZ.
• To test the hypothesis that altered activity flow across functional connectivity (FC) pathways leads to cognitive deficits.
• To explore the potential of connectivity-based interventions for SZ.

Main Methods:

• Activity flow mapping was used to model the movement of task-related activity.
• Functional magnetic resonance imaging (fMRI) data from SZ patients and healthy controls during a working memory task were analyzed.
• The approach modeled activity flow as a function of FC.

Main Results:

• Activity flow models successfully predicted aberrant cognitive activations across multiple brain networks in SZ.
• Simulations demonstrated that connectivity-based interventions could normalize brain activations and improve behavior in SZ.
• Dysfunctional task-evoked activity flow was identified as a potential large-scale network mechanism in SZ.

Conclusions:

• Aberrant activity flow across FC networks is a plausible mechanism contributing to cognitive dysfunction in SZ.
• Activity flow mapping offers a framework for understanding and potentially treating cognitive deficits in SZ.
• Targeting connectivity-based activity flow may represent a novel therapeutic strategy for schizophrenia.