ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Digital memory assessments and plasma pTau217 enable efficient preclinical Alzheimer's trials.The journal of prevention of Alzheimer's disease · 2026Trial
- Digital cognitive phenotyping enhances risk stratification in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Modernizing cognitive assessment in Alzheimer's disease.Nature aging · 2026Article
- Encoding-related fMRI BOLD activity predicts subsequent memory for studied scenes, but not subsequent identification of perceptually similar lures.bioRxiv : the preprint server for biology · 2026Article
- An Operant-based Touchscreen Morph Discrimination Task Does Not Detect Age-related Mnemonic Similarity Deficits in Rats.bioRxiv : the preprint server for biology · 2026Article
- MST in the wild: Optimizing the mnemonic similarity task for use in diverse environments.Neuropsychologia · 2026Article
- An operant-based touchscreen morph discrimination task does not detect age-related mnemonic similarity deficits in rats.Oxford open neuroscience · 2026Article
- Misclassification in memory modification ineLife · 2025Article
- Identifying dementia neuropathology using low-burden clinical data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Article
- Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study.JMIR research protocols · 2025Article
- Integrating plasma p-tau217 and digital cognitive assessments for early detection in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- APOE4 Increases Susceptibility to Amyloid, Accelerating Episodic Memory Decline.bioRxiv : the preprint server for biology · 2024Article
- Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Digital cognitive assessments as low-burden markers for predicting future cognitive decline and tau accumulation across the Alzheimer's spectrum.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Amyloid-β deposition in basal frontotemporal cortex is associated with selective disruption of temporal mnemonic discrimination.bioRxiv : the preprint server for biology · 2024Article
- Digital cognitive assessments as low-burden markers for predicting future cognitive decline and tau accumulation across the Alzheimer's spectrum.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
- Update of
Authors and funding
3 authors.
Funding
Abstract
backgroundThe Mnemonic Similarity Task (MST) is a popular memory task designed to assess hippocampal integrity. We assessed whether analyzing MST performance using a multinomial processing tree (MPT) cognitive model could detect individuals with elevated Alzheimer's disease (AD) biomarker status prior to cognitive decline.
methodWe analyzed MST data from >200 individuals (young, cognitively healthy older adults and individuals with mild cognitive impairment [MCI]), a subset of which also had existing cerebrospinal fluid (CSF) amyloid beta (Aβ) and phosphorylated tau (pTau) data using both traditional and model-derived approaches. We assessed how well each could predict age group, memory ability, MCI status, Aβ, and pTau status using receiver operating characteristic analyses.
resultsBoth approaches predicted age group membership equally, but MPT-derived metrics exceeded traditional metrics in all other comparisons. DISCUSSION: A MPT model of the MST can detect individuals with AD prior to cognitive decline, making it a potentially useful tool for screening and monitoring older adults during the asymptomatic phase of AD. HIGHLIGHTS: The MST, along with cognitive modeling, identifies individuals with memory deficits and cognitive impairment. Cognitive modeling of the MST identifies individuals with increased AD biomarkers prior to changes in cognitive function. The MST is a digital biomarker that identifies individuals at high risk of AD.
Indexed as
Identifiers
What Socratic 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 Socratic graph.