Evidence map›Paper›PMID 41674583›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Linking Cognitive Variability and Alzheimers Disease Biomarkers by Neurocognitive Status.

Shayne S-H Lin, Alicia Milam, Andrew M Kiselica, Stephen L Aita, Mubarick Saeed, Troy Webber, Steven Paul Woods, Nicholas C Borgogna, Keenan A Walker, Vidyulata Kamath and 6 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Shayne S-H LinMedical College of Wisconsin, Department of Neurosurgery.
Alicia MilamMichael E. DeBakey Veterans Affairs Medical Center in Houston.
Andrew M KiselicaUniversity of Georgia, Institute of Gerontology.
Stephen L AitaWhiddon College of Medicine at the University of South Alabama, Department of Neurology.
Mubarick SaeedUniversity of Alabama at Birmingham, Department of Neurology, Heersink School of Medicine.
Troy WebberMichael E. DeBakey Veterans Affairs Medical Center in Houston.
Steven Paul WoodsUniversity of Houston, Department of Psychology.
Nicholas C BorgognaUniversity of Alabama at Birmingham, Department of Psychology.
Keenan A WalkerNational Institute of Aging, Laboratory of Behavioral Neuroscience, Intramural Research Program.ORCID 0000-0002-5989-9853
Vidyulata KamathJohns Hopkins University School of Medicine, Department of Psychiatry & Behavioral Science.
Kristina VisscherUniversity of Alabama at Birmingham, Alzheimer's Disease Center.
Charles F MurchisonUniversity of Alabama at Birmingham, Department of Neurology, Heersink School of Medicine.
David S GeldmacherUniversity of Alabama at Birmingham, Department of Neurology, Heersink School of Medicine.
Erik D RobersonUniversity of Alabama at Birmingham, Department of Neurology, Heersink School of Medicine.ORCID 0000-0002-1810-9763
Benjamin D HillUniversity of South Alabama, Department of Psychology.
Victor A Del BeneUniversity of Alabama at Birmingham, Department of Neurology, Heersink School of Medicine.ORCID 0000-0002-8562-5071

Funding

UAB Alzheimer's Disease Research CenterP30AG086401 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Erik D Roberson · 2024 to 2026
$17.1M
A multimodal examination of functional network health and its relationship with tau depositionRF1AG085638 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VISSCHER, KRISTINA · 2024 to 2024
$2.2M
NIA NIH HHS P30 AG086401NIA NIH HHS RF1 AG085638
6 · The paper itself

Abstract

Objective: To assess intra-individual cognitive variability (IICV) in relation to Alzheimer's Disease (AD) biomarkers. Methods: The sample included 879 adults from the National Alzheimer's Coordinating Center, aged 50 and above with a complete neuropsychological evaluation and AD biomarker data available (64% cognitively intact; 36% cognitively impaired). We conducted a series of moderated regression models where AD biomarkers, neurocognitive status, and their interaction effects predicted IICV. IICV measures included demographically adjusted normed scores for the intraindividual standard deviation (iSD) and coefficient of variance (CoV). AD biomarkers included cerebrospinal fluid (CSF) measures of Aβ Results: Increased AD biomarker burden was associated with increased IICV among cognitively impaired individuals (correlational strength ranging from .206 to .391 for iSD and from .149 to .460 for CoV) but not among the cognitively intact group (correlational strength ranging from .008 to .085 for iSD and from .016 to .085 for CoV). The pattern of results held even after controlling for demographic factors and was comparable in magnitude to the association between AD biomarkers and mean cognitive performance. Conclusions: Increases in measures of amyloid, soluble tau, and neurodegeneration are associated with increased IICV among cognitively impaired older adults. The findings underscore the potential of IICV as a sensitive outcome measure in the AD clinical disease phase. Future studies should replicate findings longitudinally and in more diverse samples.

Indexed as

BiomarkersDementiaGeriatric MedicineMild Cognitive ImpairmentNeurologyNeuropsychology

Identifiers

PMID41674583
PMCPMC12889766

What OpenQuestion holds

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Registered trials

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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.