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Neurophysiological alterations in the prepsychotic phases.
Nicolas A Crossley1, Miguel Constante, Paolo Fusar-Poli
1Department of Psychosis Studies Institute of Psychiatry, King’s College London, SE58AF, UK. nicolas.crossley@kcl.ac.uk
Current Pharmaceutical Design
|January 14, 2012
Summary
Neurophysiological alterations detected using electroencephalography and magnetoencephalography in individuals at high risk for psychosis may predict future transition. Event-related potentials (ERP) show promise, but challenges remain.
Area of Science:
- Neuroscience
- Psychiatry
- Cognitive Science
Background:
- Electroencephalography (EEG) and Magnetoencephalography (MEG) offer insights into brain function in psychosis.
- Neurophysiological alterations are increasingly identified in the prodromal phase preceding psychosis onset.
- These early changes suggest potential for predicting psychosis transition.
Purpose of the Study:
- To review recent studies on event-related potentials (ERPs) in individuals at clinical high risk for psychosis.
- To highlight the utility of ERPs as predictive tools for psychosis development.
- To discuss findings, limitations, and challenges in electrophysiological research within this population.
Main Methods:
- Review of recent literature on electrophysiological studies.
- Focus on event-related potentials (ERPs) using P300, Mismatch-Negativity (MMN), and P50 paradigms.
- Analysis of studies involving subjects at clinical high risk for psychosis.
Main Results:
- Studies indicate neurophysiological alterations in individuals at high risk for psychosis.
- Specific ERP paradigms (P300, MMN, P50) show altered responses in this population.
- These findings support the potential of ERPs for early detection and prediction.
Conclusions:
- Electrophysiological measures, particularly ERPs, are valuable tools for understanding psychosis development.
- Early neurophysiological changes in at-risk individuals may predict transition to psychosis.
- Further research is needed to address limitations and challenges in clinical application.
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