Literature DB >> 27004261

Best Practices for Event-Related Potential Research in Clinical Populations.

Emily S Kappenman1, Steven J Luck1.   

Abstract

The event-related potential (ERP) technique has been used for decades to answer important questions about sensory, cognitive, motor, and emotion-related processes in clinical disorders. However, ERP research with clinical populations often involves unique challenges above and beyond the general issues involved in conducting ERP studies in typical research participants. The goal of this paper is to provide an overview of the common challenges that arise in ERP research with clinical populations, including issues in experimental design, recording, analysis, and interpretation of ERPs. In addition, we provide strategies that have proven effective in each of these areas for maximizing the potential of the ERP technique to provide important insights about clinical disorders. The event-related potential (ERP) technique has been used for decades to assess sensory, cognitive, motor, and emotion-related processes in individuals with clinical disorders, and it has great promise for yielding new insights in the future. However, many complex methodological challenges arise in applying this technique to clinical populations, and these challenges must be overcome for the ERP technique to live up to its potential. The goal of this paper is to describe some of the most salient challenges and provide effective strategies for dealing with them. Our own experience has been mainly in schizophrenia, but much of the information presented here applies to any clinical population. We focus our discussion on traditional approaches to ERPs, for which methods been refined over many decades. Information about newer approaches, such as time-frequency analysis, can be found elsewhere (1; 2). We begin with a brief overview of the ERP technique, followed by a discussion of the challenges in designing experiments, practical considerations in recording and analysis, and issues in interpreting ERP effects. The present article is necessarily brief and focused, but broader reviews are available elsewhere (3-11). In addition, we strongly recommend the ERP publication guidelines of the Society for Psychophysiological Research as a supplement to the recommendations in this paper (12).

Entities:  

Keywords:  EEG; ERPs; clinical disorders; psychiatric disorders; psychological disorders; schizophrenia

Year:  2015        PMID: 27004261      PMCID: PMC4797328          DOI: 10.1016/j.bpsc.2015.11.007

Source DB:  PubMed          Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging        ISSN: 2451-9022


  23 in total

Review 1.  Statistical testing in electrophysiological studies.

Authors:  Eric Maris
Journal:  Psychophysiology       Date:  2011-12-16       Impact factor: 4.016

2.  Manipulation of orthogonal neural systems together in electrophysiological recordings: the MONSTER approach to simultaneous assessment of multiple neurocognitive dimensions.

Authors:  Emily S Kappenman; Steven J Luck
Journal:  Schizophr Bull       Date:  2011-11-10       Impact factor: 9.306

Review 3.  Event-related EEG time-frequency analysis: an overview of measures and an analysis of early gamma band phase locking in schizophrenia.

Authors:  Brian J Roach; Daniel H Mathalon
Journal:  Schizophr Bull       Date:  2008-08-06       Impact factor: 9.306

Review 4.  Mass univariate analysis of event-related brain potentials/fields I: a critical tutorial review.

Authors:  David M Groppe; Thomas P Urbach; Marta Kutas
Journal:  Psychophysiology       Date:  2011-09-06       Impact factor: 4.016

5.  The ERN is the ERN is the ERN? Convergent validity of error-related brain activity across different tasks.

Authors:  Anja Riesel; Anna Weinberg; Tanja Endrass; Alexandria Meyer; Greg Hajcak
Journal:  Biol Psychol       Date:  2013-04-19       Impact factor: 3.251

6.  Disruption of neural systems of visual attention in schizophrenia.

Authors:  Geoffrey F Potts; Brian F O'Donnell; Yoshio Hirayasu; Robert W McCarley
Journal:  Arch Gen Psychiatry       Date:  2002-05

7.  Differential relationships of mismatch negativity and visual p1 deficits to premorbid characteristics and functional outcome in schizophrenia.

Authors:  Tamara Friedman; Pejman Sehatpour; Elisa Dias; Megan Perrin; Daniel C Javitt
Journal:  Biol Psychiatry       Date:  2011-12-21       Impact factor: 13.382

Review 8.  A roadmap for the development and validation of event-related potential biomarkers in schizophrenia research.

Authors:  Steven J Luck; Daniel H Mathalon; Brian F O'Donnell; Matti S Hämäläinen; Kevin M Spencer; Daniel C Javitt; Peter J Uhlhaas
Journal:  Biol Psychiatry       Date:  2010-12-15       Impact factor: 13.382

9.  Impaired response selection in schizophrenia: evidence from the P3 wave and the lateralized readiness potential.

Authors:  Steven J Luck; Emily S Kappenman; Rebecca L Fuller; Benjamin Robinson; Ann Summerfelt; James M Gold
Journal:  Psychophysiology       Date:  2009-04-06       Impact factor: 4.016

10.  A source analysis of the late human auditory evoked potentials.

Authors:  M Scherg; J Vajsar; T W Picton
Journal:  J Cogn Neurosci       Date:  1989       Impact factor: 3.225

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  24 in total

1.  Electrophysiological Evidence for Hyperfocusing of Spatial Attention in Schizophrenia.

Authors:  Johanna Kreither; Javier Lopez-Calderon; Carly J Leonard; Benjamin M Robinson; Abigail Ruffle; Britta Hahn; James M Gold; Steven J Luck
Journal:  J Neurosci       Date:  2017-03-10       Impact factor: 6.167

2.  Robust and Gaussian spatial functional regression models for analysis of event-related potentials.

Authors:  Hongxiao Zhu; Francesco Versace; Paul M Cinciripini; Philip Rausch; Jeffrey S Morris
Journal:  Neuroimage       Date:  2018-07-06       Impact factor: 6.556

3.  Social Feedback Valence Differentially Modulates the Reward Positivity, P300, and Late Positive Potential.

Authors:  Carter J Funkhouser; Randy P Auerbach; Autumn Kujawa; Sylvia A Morelli; K Luan Phan; Stewart A Shankman
Journal:  J Psychophysiol       Date:  2019-10-23       Impact factor: 1.333

4.  Riemannian classification of single-trial surface EEG and sources during checkerboard and navigational images in humans.

Authors:  Cédric Simar; Robin Petit; Nichita Bozga; Axelle Leroy; Ana-Maria Cebolla; Mathieu Petieau; Gianluca Bontempi; Guy Cheron
Journal:  PLoS One       Date:  2022-01-14       Impact factor: 3.240

Review 5.  Event-Related Potentials as Biomarkers of Behavior Change Mechanisms in Substance Use Disorder Treatment.

Authors:  Rebecca J Houston; Nicolas J Schlienz
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-09-23

6.  Deep brain stimulation of the ventral striatal area for poststroke pain syndrome: a magnetoencephalography study.

Authors:  Raghavan Gopalakrishnan; Richard C Burgess; Donald A Malone; Scott F Lempka; John T Gale; Darlene P Floden; Kenneth B Baker; Andre G Machado
Journal:  J Neurophysiol       Date:  2018-01-31       Impact factor: 2.714

7.  History of concussion impacts electrophysiological correlates of working memory.

Authors:  Caitlin M Hudac; Cathryn S Cortesa; Patrick S Ledwidge; Dennis L Molfese
Journal:  Int J Psychophysiol       Date:  2017-10-10       Impact factor: 2.997

8.  Distinct Neural Signatures of Outcome Monitoring After Selection and Execution Errors.

Authors:  Faisal Mushtaq; Samuel D McDougle; Matt P Craddock; Darius E Parvin; Jack Brookes; Alexandre Schaefer; Mark Mon-Williams; Jordan A Taylor; Richard B Ivry
Journal:  J Cogn Neurosci       Date:  2022-03-31       Impact factor: 3.225

9.  MEG Theta during Lexico-Semantic and Executive Processing Is Altered in High-Functioning Adolescents with Autism.

Authors:  Yuqi You; Angeles Correas; R Joanne Jao Keehn; Laura C Wagner; Burke Q Rosen; Lauren E Beaton; Yangfeifei Gao; William T Brocklehurst; Inna Fishman; Ralph-Axel Müller; Ksenija Marinkovic
Journal:  Cereb Cortex       Date:  2021-01-05       Impact factor: 5.357

10.  Special Report on the Impact of the COVID-19 Pandemic on Clinical EEG and Research and Consensus Recommendations for the Safe Use of EEG.

Authors:  Salvatore Campanella; Kemal Arikan; Claudio Babiloni; Michela Balconi; Maurizio Bertollo; Viviana Betti; Luigi Bianchi; Martin Brunovsky; Carla Buttinelli; Silvia Comani; Giorgio Di Lorenzo; Daniel Dumalin; Carles Escera; Andreas Fallgatter; Derek Fisher; Giulia Maria Giordano; Bahar Guntekin; Claudio Imperatori; Ryouhei Ishii; Hendrik Kajosch; Michael Kiang; Eduardo López-Caneda; Pascal Missonnier; Armida Mucci; Sebastian Olbrich; Georges Otte; Andrea Perrottelli; Alessandra Pizzuti; Diego Pinal; Dean Salisbury; Yingying Tang; Paolo Tisei; Jijun Wang; Istvan Winkler; Jiajin Yuan; Oliver Pogarell
Journal:  Clin EEG Neurosci       Date:  2020-09-25       Impact factor: 1.843

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