Antipsychotics reverse abnormal EEG complexity in drug-naive schizophrenia: a multiscale entropy analysis

Area of Science:

• Neuroscience
• Computational Psychiatry
• Signal Processing

Background:

• Schizophrenia is associated with altered brain dynamics.
• Traditional EEG analysis has limitations in capturing complex neural activity.
• Multiscale entropy (MSE) offers a novel method to assess physiological system complexity.

Purpose of the Study:

• To evaluate MSE as a tool for understanding schizophrenia pathophysiology.
• To compare MSE with traditional EEG analysis in schizophrenia.
• To investigate the effects of antipsychotic treatment on brain complexity in schizophrenia.

Main Methods:

• Recorded resting-state EEG from drug-naive schizophrenia patients and healthy controls.
• Calculated MSE on EEG data across various temporal scales.
• Compared MSE and spectral analysis pre- and post-antipsychotic treatment.

Main Results:

• Schizophrenia patients exhibited higher EEG complexity at higher temporal scales (lower frequencies) in fronto-centro-temporal regions compared to controls.
• Antipsychotic treatment reduced this complexity in fronto-central regions to control levels.
• Spectral analysis showed slowing in frontal regions pre-treatment, but no treatment effect.

Conclusions:

• MSE effectively identifies abnormal dynamical complexity in the anterior brain regions in schizophrenia.
• Antipsychotic treatment selectively normalizes fronto-central EEG complexity.
• Entropy-based methods show promise for characterizing schizophrenia and antipsychotic mechanisms.