1. Temporospatial components of brain ERPs as biomarkers for Alzheimer's disease
- Author
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Chapman, Robert M, Gardner, Margaret N, Klorman, Rafael, Mapstone, Mark, Porsteinsson, Anton P, Antonsdottir, Inga M, and Kamalyan, Lily
- Subjects
Biological Psychology ,Psychology ,Alzheimer's Disease ,Dementia ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurodegenerative ,Acquired Cognitive Impairment ,Neurosciences ,Aging ,Brain Disorders ,Clinical Research ,4.1 Discovery and preclinical testing of markers and technologies ,Detection ,screening and diagnosis ,Neurological ,Alzheimer's disease ,Brain event-related potentials ,Brain spatial information ,Diagnosis ,Discriminant analysis ,Electrophysiology ,Posterior probabilities ,Principal components analysis ,Receiver-operating characteristic ,Temporal ERP components ,Temporospatial ERPs ,Two-step PCA ,Genetics ,Biological psychology - Abstract
IntroductionDeveloping biomarkers that distinguish individuals with Alzheimer's disease (AD) from those with normal cognition remains a crucial goal for improving the health of older adults. We investigated adding brain spatial information to temporal event-related potentials (ERPs) to increase AD identification accuracy over temporal ERPs alone.MethodsWith two-step principal components analysis, we applied multivariate analyses that incorporated temporal and spatial ERP information from a cognitive task. Discriminant analysis used temporospatial ERP scores to classify participants as belonging to either the AD or healthy control group.ResultsTemporospatial ERPs produced a cross-validated area under the curve of 0.84. Adding spatial information through a formal procedure significantly improves classification accuracy.DiscussionA weighted combination of temporospatial ERP markers performs well in detecting AD. Because ERPs are noninvasive and inexpensive, they may be promising biomarkers for AD that can add functional information to other biomarker systems while providing the individual's probability of correct classification.
- Published
- 2018