Can Schizophrenia and Bipolar Disorder Be Distinguished Through EEG?

“Can Schizophrenia and Bipolar Disorder Be Distinguished Through EEG?”

Schizophrenia (SZ) and Bipolar Disorder (BD) often present with overlapping symptoms, making accurate diagnosis a challenge. Misdiagnoses can lead to ineffective or inappropriate treatments.

In our recent study, we applied advanced EEG (electroencephalogram) analysis techniques combined with machine learning to develop a method for distinguishing between SZ and BD.

💡 Key Findings:

✅Employed novel EEG metrics (MFE & RP) to assess brainwave complexity and power

✅Analyzed EEG data from 114 patients using machine learning algorithms

✅Identified that SZ patients show significantly higher complexity and power in the theta frequency band

✅Achieved a classification accuracy of 78.9% between the two disorders

This approach holds strong potential for improving diagnostic precision and enabling personalized treatment strategies in psychiatry.

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