ArticleNPJ digital medicine2025
Detecting early cognitive deficits in preclinical Alzheimer's disease using a remote digital multi-day learning paradigm.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- The myth of digital biomarkers in Alzheimer's disease: how to make them a reality.Current opinion in psychiatry · 2026Review
- Just Semantics? How Diagnostic Criteria Influence Physician-Patient Narratives in Alzheimer's Disease.Neuro-degenerative diseases · 2026Article
- Error unawareness as a driver of cognitive decline in individuals at risk for Alzheimer's disease.Communications biology · 2026Article
- The past, present, and future of Alzheimer's disease-part 3: the future.Arquivos de neuro-psiquiatria · 2026Review
- Combining p-tau217 and digital cognitive testing to predict cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Linking silent pause locations in speech to amyloid and tau deposition in cognitively unimpaired individuals.Journal of Alzheimer's disease : JAD · 2025Article
- Using memory recall response time on digital cognitive testing to detect subtle cognitive changes among cognitively unimpaired older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- A scoping review of remote and unsupervised digital cognitive assessments in preclinical Alzheimer's disease.NPJ digital medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Remote, digital cognitive testing on an individual's own device provides the opportunity to deploy previously understudied but promising cognitive paradigms in preclinical Alzheimer's disease (AD). The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures a personalized learning curve for the same information presented over seven consecutive days. Here, we examined BRANCH multi-day learning curves (MDLCs) in 167 cognitively unimpaired older adults (age = 74.3 ± 7.5, 63% female) with different amyloid-β (A) and tau (T) biomarker profiles on positron emission tomography. MDLC scores decreased across ascending biomarker groups, with the A + T- group performing numerically worse (β = -0.24, 95%CI[-0.55,0.07], p = 0.128) and the A + T+ group performing significantly worse (β = -0.58, 95%CI[-1.06,-0.10], p = 0.018) than the A-T- group. Further, lower MDLC scores were associated with greater cortical thinning (β = 0.18, 95%CI[0.04,0.34], p = 0.013). Our results suggest that diminished MDLCs track with advanced AD pathophysiology, and demonstrate how a digital multi-day learning paradigm can provide novel insights about cognitive decline during preclinical AD.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.