Schizotypy dimensions are associated with altered resting state alpha connectivity

Area of Science:

• Neuroscience
• Psychiatry
• Computational Neuroscience

Background:

• The disconnection hypothesis posits schizophrenia symptoms arise from disrupted brain network connectivity.
• Previous research has yielded mixed findings, potentially due to the multifaceted nature of schizophrenia symptoms.
• Understanding the relationship between specific symptom dimensions and brain network alterations is crucial.

Purpose of the Study:

• To investigate the neural underpinnings of distinct schizotypy dimensions.
• To examine functional brain network differences in individuals at clinical high risk for schizophrenia spectrum disorders, categorized by positive (PerMag) or negative (SocAnh) schizotypy traits.
• To test the validity of the disconnection hypothesis in relation to specific schizotypy dimensions.

Main Methods:

• Resting-state alpha electroencephalography (EEG) was employed to record brain activity.
• Functional network connectivity was quantified using the phase-lag index.
• Graph theory measures were applied to analyze network topology and identify group-specific features.

Main Results:

• The Perceptual Aberrations and Magical Ideation (PerMag) group showed more widespread network alterations (frontal/occipital, central/occipital) compared to controls.
• The Social Anhedonia (SocAnh) group exhibited localized occipital connectivity differences.
• These findings indicate that different schizotypy dimensions are associated with distinct patterns of brain network disconnection.

Conclusions:

• Altered functional connectivity patterns provide evidence supporting the disconnection hypothesis of schizophrenia.
• Distinct schizotypy dimensions are associated with specific network-level brain disconnections.
• These network alterations may represent potential biomarkers for identifying schizophrenia risk.