NeuroImage ClinicalNeurosciencePeer-reviewed journal article
Event-Related Potential Markers of Subjective Cognitive Decline and Mild Cognitive Impairment during a sustained visuo-attentive task
Alberto Arturo VerganiiD, Salvatore MazzeoiD, Valentina Moschini, Rachele BuraliiD, Michael LassiiD, Lorenzo Gaetano AmatoiD, Jacopo CarpanetoiD, Giovanni Salvestrini, Carlo Fabbiani, Giulia GiacomucciiD, Carmen MorinelliiD, F. Emiliani, Maenia ScarpinoiD, Silvia BagnoliiD, Assunta IngannatoiD, Benedetta NacmiasiD, Sonia Padiglioni, Sandro SorbiiD, Valentina BessiiD, Antonello GrippoiD, Alberto MazzoniiD
Abstract
Subjective cognitive decline (SCD), mild cognitive impairment (MCI), or severe Alzheimers disease stages are still lacking clear electrophysiological correlates. In 178 individuals (119 SCD, 40 MCI, and 19 healthy subjects (HS)), we analysed event-related potentials recorded during a sustained visual attention task, aiming to distinguish biomarkers associated with clinical conditions and task performance. We observed condition-specific anomalies in event-related potentials (ERPs) during visual encoding (P1/N1/P2) and decision-making (P300/P600/P900): SCD individuals showed attenuated dynamics compared to HS, while MCI individuals showed amplified dynamics, except for P300, which matched clinical severity. ERP features confirmed a non-monotonic trend, with MCI showing higher neural resource recruitment. Moreover, task performance correlated with condition-specific ERP gain and latencies across early and late ERP components. These findings enhanced the understanding of the neural mechanisms underlying cognitive decline in SCD and MCI and suggested potential biomarkers for early diagnosis and intervention. HighlightsO_LIIn encoding (P1/N1/P2) and decision (P600/P900) ERPs, SCD individuals showed attenuated dynamics compared to HS, while MCI individuals exhibited amplified dynamics compared to SCD. C_LIO_LIP300 dynamics matched clinical severity. C_LIO_LIMCI individuals demonstrated higher recruitment of neural resources, indicating a non-monotonic trend in ERP features between clinical conditions. C_LIO_LITask performance correlated with condition-specific gain and latencies across multiple ERP components. C_LI
- organism: human
- assay: electronic health records
- research focus: benchmarking
- approach: statistical model
- Citations
- 10
- FWCI
- 6.70
- Field percentile
- top 3%
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