Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Digital cognitive phenotyping enhances risk stratification in preclinical Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association - 1 Sept 2026

Vanderlip Casey R, Stark Craig E L

Abstract excerpt

INTRODUCTION: Amyloid positivity does not reliably predict near-term cognitive decline in preclinical Alzheimer's disease (AD). We tested whether digital cognitive phenotyping improves prognostic precision. METHODS: Baseline performance on a brief self-administered digital battery was analyzed in 1146 amyloid beta (Aβ)+ and 538 Aβ- cognitively unimpaired older adults from the Anti-Amyloid Treatment in...

Read the complete abstract on PubMed

Topics

Humans
Alzheimer Disease
Female
Aged
Phenotype
Male
tau Proteins

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Disease Progression

Positron-Emission Tomography

Amyloid beta-Peptides

Risk Assessment

Cognitive Dysfunction

Neuropsychological Tests

Prodromal Symptoms

Aged, 80 and over

Biomarkers

Digital Health

Source

Open in PubMed Open full text

Identifiers

PMID: 42741980
DOI: 10.1002/alz.71834
PMCID: PMC13575981

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 20 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Digital cognitive phenotyping enhances risk stratification in preclinical Alzheimer's disease.PMID 42741980Read ↗

Computational Risk Stratification of Preclinical Alzheimer’s in Younger AdultsSemantic proximity Read ↗

Scalable Markers for Early Cognitive Decline: Plasma p-tau217, Subjective Cognitive Concerns, and Digital Testing: Results from the A4/LEARN studiesSemantic proximity Read ↗

Biomarker-guided clustering of Alzheimer's disease clinical syndromesSemantic proximity Read ↗

Prediction of future Alzheimer’s disease dementia using plasma phospho-tau combined with other accessible measuresSemantic proximity Read ↗

Standardized Comparison of Clinical, Cognitive, Genetic, Neuroimaging, and Fluid Biomarkers for Predicting 24-Month Progression from Mild Cognitive Impairment to Alzheimer’s DiseaseSemantic proximity Read ↗

Prediction of mild cognitive impairment progression using time-sensitive multimodal biomarkersSemantic proximity Read ↗

Concurrent Detection of Cognitive Impairment and Amyloid Positivity with a Next-Generation Digital Cognitive AssessmentSemantic proximity Read ↗

Multivariate blood biomarkers capture resilience and resistance phenotypes across the Alzheimer’s disease spectrumSemantic proximity Read ↗

Profiling baseline performance on the Longitudinal Early‐Onset Alzheimer's Disease Study (LEADS) cohort near the midpoint of data collectionSemantic proximity Read ↗

Plasma p-tau217 predicts cognitive impairments up to ten years before onset in normal older adultsSemantic proximity Read ↗

Predicting Progression & Cognitive Decline in Amyloid-Positive Patients with Alzheimer's DiseaseSemantic proximity Read ↗

Prognostic performance across Alzheimer’s biomarkers, multi-modal physiological measures, and clinical history in asymptomatic individualsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.