ArticleBiosensors2024
P300 Latency with Memory Performance: A Promising Biomarker for Preclinical Stages of Alzheimer's Disease.
Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- P300 Event-Related Potentials as Cognitive Biomarkers in Neurological and Neuropsychiatric Disorders: A Systematic Review.Revista de neurologia · 2026Pooled it
- Neurophysiological Differentiation of Conversion to Alzheimer's Disease: Longitudinal Changes in P300 Amplitude as an Indicator of Mild Cognitive Impairment Progression.Brain and behavior · 2026Article
- The use of electroencephalography in neurodegenerative disease and its utility in dementia.NPJ dementia · 2026Review
- A Randomized Controlled Trial on the Safety and Cognitive Benefits of a Novel Functional Drink from a Purple Waxy Corn Byproduct in Peri- and Postmenopausal Women.Antioxidants (Basel, Switzerland) · 2025Article
- Cognitive Potential Characteristics and Brain Network Dynamics in Patients with Acute Cerebellar Ischemic Stroke: Insights from P300 and Moving Dipoles.Cerebellum (London, England) · 2025Article
- Assessing the Role of EEG Biosignal Preprocessing to Enhance Multiscale Fuzzy Entropy in Alzheimer's Disease Detection.Biosensors · 2025Article
- Neurotechnological Approaches to Cognitive Rehabilitation in Mild Cognitive Impairment: A Systematic Review of Neuromodulation, EEG, Virtual Reality, and Emerging AI Applications.Brain sciences · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Detecting and tracking the preclinical stages of Alzheimer's disease (AD) is now of particular interest due to the aging of the world's population. AD is the most common cause of dementia, affecting the daily lives of those afflicted. Approaches in development can accelerate the evaluation of the preclinical stages of AD and facilitate early treatment and the prevention of symptom progression. Shifts in P300 amplitude and latency, together with neuropsychological assessments, could serve as biomarkers in the early screening of declines in cognitive abilities. In this study, we investigated the ability of the P300 indices evoked during a visual oddball task to differentiate pre-clinically diagnosed participants from normal healthy adults (HCs). Two preclinical stages, named asymptomatic AD (AAD) and prodromal AD (PAD), were included in this study, and a total of 79 subjects participated, including 35 HCs, 22 AAD patients, and 22 PAD patients. A mixed-design ANOVA test was performed to compare the P300 indices among groups during the processing of the target and non-target stimuli. Additionally, the correlation between these neurophysiological variables and the neuropsychological tests was evaluated. Our results revealed that neither the peak amplitude nor latency of P300 can distinguish AAD from HCs. Conversely, the peak latency of P300 can be used as a biomarker to differentiate PAD from AAD and HCs. The correlation results revealed a significant relationship between the peak latency of P300 and memory domain tasks, showing that less time-demanding neuropsychological assessments can be used. In summary, our findings showed that a combination of P300 latency and memory-requiring tasks can be used as an efficient biomarker to differentiate individuals with AAD from HCs.
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