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P50: A candidate ERP biomarker of prodromal Alzheimer's disease
Journal article   Open access   Peer reviewed

P50: A candidate ERP biomarker of prodromal Alzheimer's disease

Deborah L Green, Lisa Payne, Robi Polikar, Paul J Moberg, David A Wolk and John Kounios
Brain research, v 1624, pp 390-397
22 Oct 2015
DOI: https://doi.org/10.1016/j.brainres.2015.07.054
PMID: 26256251
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://europepmc.org/articles/pmc4630129View
Accepted (AM) Open Open Access (License Unspecified)

Abstract

Aged Alzheimer Disease - cerebrospinal fluid Alzheimer Disease - physiopathology Amyloid beta-Peptides - cerebrospinal fluid Biomarkers Cognitive Dysfunction - cerebrospinal fluid Cognitive Dysfunction - physiopathology Electroencephalography Evoked Potentials - physiology Female Humans Male Middle Aged Peptide Fragments - cerebrospinal fluid Prodromal Symptoms Reaction Time - physiology Statistics, Nonparametric
Reductions of cerebrospinal fluid (CSF) amyloid-beta (Aβ42) and elevated phosphorylated-tau (p-Tau) reflect in vivo Alzheimer's disease (AD) pathology and show utility in predicting conversion from mild cognitive impairment (MCI) to dementia. We investigated the P50 event-related potential component as a noninvasive biomarker of AD pathology in non-demented elderly. 36 MCI patients were stratified into amyloid positive (MCI-AD, n=17) and negative (MCI-Other, n=19) groups using CSF levels of Aβ42. All amyloid positive patients were also p-Tau positive. P50s were elicited with an auditory oddball paradigm. MCI-AD patients yielded larger P50s than MCI-Other. The best amyloid-status predictor model showed 94.7% sensitivity, 94.1% specificity and 94.4% total accuracy. P50 predicted amyloid status in MCI patients, thereby showing a relationship with AD pathology versus MCI from another etiology. The P50 may have clinical utility for inexpensive pre-screening and assessment of Alzheimer's pathology.

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21 citations in Web of Science
22 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Neurosciences
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