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Clin Neurophysiol. 2009 Nov;120(11):1883-1908. doi: 10.1016/j.clinph.2009.07.045. Epub 2009 Sep 30.

Event-related potentials in clinical research: guidelines for eliciting, recording, and quantifying mismatch negativity, P300, and N400.

Author information

1
Clinical Psychophysiology and Psychopharmacology Laboratory, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. Electronic address: cduncan@usuhs.mil.
2
School of Psychology and Brain & Behaviour Research Institute, University of Wollongong, Wollongong, NSW, Australia.
3
Department of Linguistics and Languages, McMaster University, Hamilton, Ont., Canada.
4
Hospices Civils de Lyon, Neurological Hospital and INSERM U821, Lyon, France.
5
School of Psychology, The University of Newcastle, Callaghan, NSW, Australia.
6
Department of Psychology, University of Tartu, Tartu, Estonia; Center of Functionally Integrative Neuroscience (CFIN), University of Aarhus, Aarhus, Denmark; Cognitive Brain Research Unit, Department of Psychology, University of Helsinki, Helsinki, Finland.
7
Cognitive Electrophysiology Laboratory, Molecular and Integrative Neurosciences Department, The Scripps Research Institute, La Jolla, CA, USA.
8
Department of Psychology, University of Oslo, Oslo, Norway.
9
Department of Psychology, Binghamton University, Binghamton, New York, USA.

Abstract

This paper describes recommended methods for the use of event-related brain potentials (ERPs) in clinical research and reviews applications to a variety of psychiatric and neurological disorders. Techniques are presented for eliciting, recording, and quantifying three major cognitive components with confirmed clinical utility: mismatch negativity (MMN), P300, and N400. Also highlighted are applications of each of the components as methods of investigating central nervous system pathology. The guidelines are intended to assist investigators who use ERPs in clinical research, in an effort to provide clear and concise recommendations and thereby to standardize methodology and facilitate comparability of data across laboratories.

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PMID:
19796989
DOI:
10.1016/j.clinph.2009.07.045
[Indexed for MEDLINE]

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