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Variable global dysconnectivity and individual differences in schizophrenia.

Michael W Cole¹, Alan Anticevic, Grega Repovs

¹Department of Psychology, Washington University, St. Louis, Missouri 63130, USA. mwcole@mwcole.net

Biological Psychiatry

|April 19, 2011

Summary

This summary is machine-generated.

Individual differences in schizophrenia symptoms may stem from variable brain connectivity patterns. A study found that altered connectivity in the dorsolateral prefrontal cortex (PFC) predicts cognitive deficits and symptom severity in schizophrenia patients.

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Area of Science:

Neuroscience
Psychiatry
Medical Imaging

Background:

Schizophrenia (SCZ) presents significant heterogeneity in symptom expression, posing a challenge for understanding individual differences in psychopathology.
Hypothesized that variable connectivity patterns in focal brain regions contribute to this heterogeneity.

Purpose of the Study:

To investigate variable global dysconnectivity in schizophrenia using resting-state functional connectivity MRI.
To explore the relationship between brain connectivity patterns, cognitive functioning, and symptom severity in SCZ.

Main Methods:

Utilized resting-state functional connectivity magnetic resonance imaging (fMRI) in 23 SCZ patients and 22 controls.
Employed a novel global brain connectivity method robust to individual variability.
Assessed cognitive functioning and symptom severity using standardized neuropsychological tests and symptom rating scales.

Main Results:

Identified a dorsolateral prefrontal cortex (PFC) region exhibiting variable global dysconnectivity (underconnectivity within PFC, overconnectivity with non-PFC regions).
Variability in this "under/over" dysconnectivity pattern significantly predicted cognitive deficits (IQ, working memory).
This pattern also correlated with individual differences across all cardinal symptom domains of SCZ (poverty, reality distortion, disorganization).

Conclusions:

Global dysconnectivity in the dorsolateral PFC is implicated in the neuropathology of schizophrenia.
Specific patterns of dysconnectivity within network hub regions may explain individual symptom variations in SCZ.
These findings may have implications for understanding other neuropsychiatric disorders with diverse presentations.