Auditory sensory processing measures using EEG and MEG predict symptom recovery in first-episode psychosis with a...

Predicting symptom progression in first-episode psychosis (FEP) is crucial for tailoring treatment and improving outcomes. Temporal lobe function, indicated by neurophysiological biomarkers like N100, predicts symptom progression and correlates with untreated psychosis. Our recent report showed that source-localized magnetoencephalography (MEG) M100 responses to tones in an oddball paradigm predicted recovery in FEP positive symptoms. This study expands these results with a simpler single-tone paradigm, with both MEG and EEG, and measuring associations across symptom dimensions. We recorded MEG (M100) and EEG (N100) in 29 FEP individuals and assessed symptom severity at baseline and after ∼ 7 months using the Positive and Negative Syndrome Scale (PANSS). Sequential regression analyses predicted symptom change (ΔPANSS) from Duration of untreated Active Psychosis (DAP) and baseline M100, controlling for baseline symptoms. Identical regressions were conducted in a subsample measuring N100 with EEG (n = 24). Smaller baseline M100 predicted worse symptom recovery at follow-up, independent of baseline symptom severity. Longer DAP showed a similar predictive effect, but this relationship was accounted for by M100. Regressions revealed M100 predictions were mostly related to general psychopathology. Identical results were found for N100 measured with EEG. Temporal lobe dysfunction in FEP, especially poor auditory sensory processing, indicates a worse recovery trajectory in general psychopathology. Longer untreated psychosis worsens temporal lobe function, predicting poorer progression. N100 measured with EEG and a single-tone task could be a cost-effective tool for informing clinicians about overall symptom progression, guiding treatment resource allocation and interventions.