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      A clinical trial to validate event-related potential markers of Alzheimer's disease in outpatient settings

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          Abstract

          Introduction

          We investigated whether event-related potentials (ERP) collected in outpatient settings and analyzed with standardized methods can provide a sensitive and reliable measure of the cognitive deficits associated with early Alzheimer's disease (AD).

          Methods

          A total of 103 subjects with probable mild AD and 101 healthy controls were recruited at seven clinical study sites. Subjects were tested using an auditory oddball ERP paradigm.

          Results

          Subjects with mild AD showed lower amplitude and increased latency for ERP features associated with attention, working memory, and executive function. These subjects also had decreased accuracy and longer reaction time in the target detection task associated with the ERP test.

          Discussion

          Analysis of ERP data showed significant changes in subjects with mild AD that are consistent with the cognitive deficits found in this population. The use of an integrated hardware/software system for data acquisition and automated data analysis methods make administration of ERP tests practical in outpatient settings.

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          Most cited references39

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

          Connie Duncan, Robert Barry, John Connolly … (2009)
          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.
          Article 0 comments Cited 290 times – based on 0 reviews     Review now
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            Electrical signs of selective attention in the human brain.

            S A Hillyard, R Hink, V Schwent … (1973)
            Auditory evoked potentials were recorded from the vertex of subjects who listened selectively to a series of tone pips in one ear and ignored concurrent tone pips in the other ear. The negative component of the evoked potential peaking at 80 to 110 milliseconds was substantially larger for the attended tones. This negative component indexed a stimulus set mode of selective attention toward the tone pips in one ear. A late positive component peaking at 250 to 400 milliseconds reflected the response set established to recognize infrequent, higher pitched tone pips in the attended series.
            Article 0 comments Cited 272 times – based on 0 reviews     Review now
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              Characterization of N200 and P300: Selected Studies of the Event-Related Potential

              Salil H. Patel, Pierre Azzam (2005)
              The Event-Related Potential (ERP) is a time-locked measure of electrical activity of the cerebral surface representing a distinct phase of cortical processing. Two components of the ERP which bear special importance to stimulus evaluation, selective attention, and conscious discrimination in humans are the P300 positivity and N200 negativity, appearing 300 ms and 200 ms post-stimulus, respectively. With the rapid proliferation of high-density EEG methods, and interdisciplinary interest in its application as a prognostic, diagnostic, and investigative tool, an understanding of the underpinnings of P300 and N200 physiology may support its application to both the basic neuroscience and clinical medical settings. The authors present a synthesis of current understanding of these two deflections in both normal and pathological states.
              Article 0 comments Cited 205 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Marco Cecchi
                Journal
                Journal ID (nlm-ta): Alzheimers Dement (Amst)
                Journal ID (iso-abbrev): Alzheimers Dement (Amst)
                Title: Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring
                Publisher: Elsevier
                ISSN (Electronic): 2352-8729
                Publication date PMC-release: 02 October 2015
                Publication date Collection: December 2015
                Publication date (Electronic): 02 October 2015
                Volume: 1
                Issue: 4
                Pages: 387-394
                Affiliations
                [a ]Neuronetrix, Louisville, KY, USA
                [b ]Department of Neurology, Nova Southeastern University, Fort Lauderdale, FL, USA
                [c ]Department of Psychology, Williams College, Williamstown, MA, USA
                [d ]Departments of Psychiatry and Medicine, Duke Medicine and Duke Institute for Brain Sciences, Durham, NC, USA
                [e ]Department of Neurology, University of Kentucky, Lexington, KY, USA
                [f ]Department of Cognitive & Behavioral Neurology, VA Boston Healthcare System, Boston, MA, USA
                [g ]Departments of Psychiatry and Neurology, University of Pennsylvania, Philadelphia, PA, USA
                Author notes
                [∗ ]Corresponding author. Tel.: +1-502-561-9040x7004; Fax: +1-502-561-9070. mcecchi@ 123456neuronetrix.com
                Article
                Publisher ID: S2352-8729(15)00070-6
                DOI: 10.1016/j.dadm.2015.08.004
                PMC ID: 4879492
                PubMed ID: 27239520
                SO-VID: 9a1aa603-3a99-448d-8006-f58f81ee8c35
                Copyright © © 2015 The Authors
                License:

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                Categories
                Subject: Electrophysiological Biomarkers

                Keywords: multicenter clinical trial,event-related potentials,oddball paradigm,early stage alzheimer's disease,outpatient settings,automated erp data analysis
                Data availability:
                Keywords: multicenter clinical trial, event-related potentials, oddball paradigm, early stage alzheimer's disease, outpatient settings, automated erp data analysis

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