Table of Contents Author Guidelines Submit a Manuscript
Schizophrenia Research and Treatment
Volume 2016, Article ID 2697971, 5 pages
Research Article

Neurophysiology for Detection of High Risk for Psychosis

Department of Psychology, Colorado State University, Campus Box 1876, Fort Collins, CO 80523, USA

Received 1 April 2016; Revised 15 June 2016; Accepted 10 July 2016

Academic Editor: L. Citrome

Copyright © 2016 Lara N. Pantlin and Deana Davalos. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Schizophrenia is a complex and often disabling disorder that is characterized by a wide range of social, emotional, and cognitive deficits. Increasing research suggests that the greatest social and cognitive therapeutic impact comes from early identification. The present study applied a well-established neurophysiological paradigm in the schizophrenia literature, mismatch negativity (MMN), to college students identified as high risk (HR) for psychosis to investigate MMN as a potential biomarker for the onset of psychosis. The hypothesis was that HR would exhibit attenuated MMN amplitudes compared to controls, as has been established in individuals with chronic schizophrenia. Participants () were separated into Group 1 (controls) () and Group 2 (HR) () based on the established cutoff score of the 16-item Prodromal Questionnaire. Participants then completed a time based MMN paradigm during which brain activity was recorded with EEG. For all electrode locations, controls demonstrated significantly more negative amplitudes than HR (: , ; : , ; : , ). Results suggested that MMN may assist in identifying those who appear high-functioning but may be at risk for later development of psychosis or cognitive and psychological difficulties associated with psychosis.