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Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease
Vanderlip CR, Lee MD, Stark CEL.. Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024-09-06
Topic: Brain imaging, connectivity and assessment
Background The 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. Method We 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. Results Both 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.
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APA 7th
Vanderlip, C. R., Lee, M. D., & Stark, C. E. L. (2024). 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. https://doi.org/10.1002/alz.14163
Vancouver
Vanderlip CR, Lee MD, Stark CEL. 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. 2024. doi:10.1002/alz.14163. PMID: 39239893.
BibTeX
@article{vanderlip2024-39239893,
author = {Vanderlip, C. R. and Lee, M. D. and Stark, C. E. L.},
title = {{Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease}},
journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
year = {2024},
doi = {10.1002/alz.14163},
pmid = {39239893},
url = {https://doi.org/10.1002/alz.14163}
}
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Key findings
- Results Both approaches predicted age group membership equally, but MPT-derived metrics exceeded traditional metrics in all other comparisons.
Study details
- Participants200
- Evidence strengthLow
How this study scored 57/100
Published in a leading specialty journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 33 of the 58 points we could judge it on, which is 57 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Alzheimer's & dementia : the journal of the Alzheimer's Association) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 year(s) of the newest study here |
| Sample size | 2 / 4 | 200 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 39239893) |
| Free to read | 2 / 2 | Free to read |
| Points | 33 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 33 of the 58 points we could judge it on is 57 out of 100. |
| Total | 57 / 100 | — |
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