biostudies-literatureChapman RMEli LillyNIA NIH HHSTaisho Toyama Pharmaceutical CompanyEisaiNational Institutes of HealthDepartment of DefenseMerckNational Institute on AgingGenentech/RocheNEI NIH HHSNational Eye InstituteBiogenU.S. Department of DefenseNational Institute of Mental HealthAstraZenecaAvanirToyamaJanssen Alzheimer Initiative604-614https://www.ebi.ac.uk/biostudies/studies/S-EPMC6215980biostudies-literatureUnknown10<h4>Introduction</h4>Developing 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.<h4>Methods</h4>With 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.<h4>Results</h4>Temporospatial ERPs produced a cross-validated area under the curve of 0.84. Adding spatial information through a formal pAlzheimer's & dementia (Amsterdam, Netherlands)Temporospatial components of brain ERPs as biomarkers for Alzheimer's disease.PMC6215980R01 AG041313P30 EY001319R01 AG018880Kamalyan LMapstone MGardner MNAntonsdottir IMKlorman RPorsteinsson APChapman RMfalseTemporospatial components of brain ERPs as biomarkers for Alzheimer's disease.<h4>Introduction</h4>Developing 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.<h4>Methods</h4>With 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.<h4>Results</h4>Temporospatial ERPs produced a cross-validated area under the curve of 0.84. Adding spatial information through a formal p2018-01-01T00:00:00Z20182025-05-29T20:47:26.016Z2025-05-29T20:47:26.016ZS-EPMC62159803041707010.1016/j.dadm.2018.08.002