Evidence map›Paper›PMID 30896235›Full record

ArticleNeuropsychology2019

Cognitive dispersion is a sensitive marker for early neurodegenerative changes and functional decline in nondemented older adults.

Katherine J Bangen, Alexandra J Weigand, Kelsey R Thomas, Lisa Delano-Wood, Lindsay R Clark, Joel Eppig, Madeleine L Werhane, Emily C Edmonds, Mark W Bondi

Abstract read
In one paragraph

Article in Neuropsychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Characterizing Cognitive Dispersion and Its Correlates Across the Adult Lifespan in MIDUS.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
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  15. Examining the Stability and Predictive Utility of Across- and Within-Domain Intra-Individual Variability in Mild Cognitive Impairment.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Katherine J BangenWeigand Research Service, Veterans Affairs San Diego Healthcare System.
Alexandra J WeigandWeigand Research Service, Veterans Affairs San Diego Healthcare System.
Kelsey R ThomasResearch Service and Psychology Service, Veterans Affairs San Diego Healthcare System.ORCID 0000-0003-4277-8876
Lisa Delano-WoodPsychology Service, Veterans Affairs San Diego Healthcare System.
Lindsay R ClarkWisconsin Alzheimer's Institute, University of Wisconsin School of Medicine.
Joel EppigSan Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego.
Madeleine L WerhaneSan Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego.
Emily C EdmondsResearch Service, Veterans Affairs San Diego Healthcare System.
Mark W BondiPsychology Service, Veterans Affairs San Diego Healthcare System.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Re-visiting Methods for MCI Diagnosis to Improve Biomarker and Trial FindingsR01AG049810 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BONDI, MARK W, EDLAND, STEVEN DYAL · 2016 to 2020
$3.7M
Neuroimaging and Vascular Correlates of Mild Cognitive Impairment SubtypesIK2CX000938 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI BANGEN, KATHERINE · 2015 to 2019
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Alzheimer's AssociationAlzheimer's Disease Neuroimaging InitiativeCSRD VA IK2 CX000938CSRD VA IK2 CX001415Dana FoundationDepartment of Defense; Alzheimer's Disease Neuroimaging InitiativeNIA NIH HHS R01 AG049810NIA NIH HHS U01 AG024904NIH HHSU.S. Department of Veterans Affairs; Clinical Sciences Research and Development Service
6 · The paper itself

Abstract

objectiveIntraindividual cognitive variability (IIV), a measure of within-person variability across cognitive measures at a single time point, is associated with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Little is known regarding brain changes underlying IIV, or the relationship between IIV and functional ability. Therefore, we investigated the association between IIV and cerebral atrophy in AD-vulnerable regions and everyday functioning in nondemented older adults.

method736 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants (285 cognitively normal [CN]; 451 MCI) underwent neuropsychological testing and serial MRI over 2 years. Linear mixed effects models examined the association between baseline IIV and change in entorhinal cortex thickness, hippocampal volume, and everyday functioning.

resultsAdjusting for age, sex, apolipoprotein E genotype, amyloid-β positivity, and mean level of cognitive performance, higher baseline IIV predicted faster rates of entorhinal and hippocampal atrophy, as well as functional decline. Higher IIV was associated with both entorhinal and hippocampal atrophy among MCI participants but selective vulnerability of the entorhinal cortex among CN individuals.

conclusionsIIV was associated with more widespread medial temporal lobe (MTL) atrophy in individuals with MCI relative to CN, suggesting that IIV may be tracking advancing MTL pathologic changes across the continuum of aging, MCI, and dementia. Findings suggest that cognitive dispersion may be a sensitive marker of neurodegeneration and functional decline in nondemented older adults. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

Biological Variation, IndividualAgedAged, 80 and overAgingAtrophyBiomarkersCognitive DysfunctionEntorhinal CortexFemaleHippocampusHumansMagnetic Resonance ImagingMaleMiddle AgedBiomarkers

Identifiers

PMID30896235
PMCPMC7380511

What OpenQuestion holds

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Registered trials

None linked

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.