Back to search

Article

Deep Learning for Individual-Level Classification of Schizophrenia Versus Healthy Controls from Trial-Level Auditory Oddball ERP Waveforms

2026-07-27

Abstract excerpt

Machine learning approaches may support individual-level classification in psychiatry, but many EEG-based schizophrenia studies have relied on small samples or conventional summary features. We evaluated whether trial-level auditory oddball event-related potential (ERP) waveforms could support schizophrenia versus healthy-control classification using deep learning. The study included 258 patients with schizophreni...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6e99dc65-bdde-5c28-8eff-734d21a10855
DOI
10.64898/2026.07.24.26358816
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep Learning for Individual-Level Classification of Schizophrenia Versus Healthy Controls from Trial-Level Auditory Oddball ERP WaveformsDOI 10.64898/2026.07.24.26358816
Select a neighboring publication to make it the new centre.