Evidence map›Paper›PMID 42316769›Full record

ArticleJournal of the International Neuropsychological Society : JINS2026

Neuropsychological criteria for Mild Cognitive Impairment (MCI) best identify neuroimaging-based risk profiles: A Department of Defense/Alzheimer's Disease Neuroimaging Initiative study.

Anastasia Matchanova, Monica T Ly, Conner Frank, Abigail Zaratan, Katherine J Bangen, Mark W Bondi, Lisa Delano-Wood, Department of Defense Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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

8 authors.

Anastasia MatchanovaDepartment of Psychiatry, University of California San Diego Health, La Jolla, USA.ORCID https://orcid.org/0000-0002-7437-9266
Monica T Lyhttps://ror.org/00znqwq11Veterans Affairs San Diego Healthcare System, San Diego, USA.ORCID https://orcid.org/0000-0002-4842-9047
Conner FrankDepartment of Psychiatry, University of California San Diego Health, La Jolla, USA.
Abigail ZaratanCalifornia Northstate University College of Medicine, Elk Grove, USA.
Katherine J BangenDepartment of Psychiatry, University of California San Diego Health, La Jolla, USA.ORCID https://orcid.org/0000-0002-1363-3179
Mark W BondiDepartment of Psychiatry, University of California San Diego Health, La Jolla, USA.
Lisa Delano-WoodDepartment of Psychiatry, University of California San Diego Health, La Jolla, USA.
Department of Defense Alzheimer’s Disease Neuroimaging Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFew studies have examined how differing diagnostic criteria for mild cognitive impairment (MCI) relate to neuroimaging markers of cerebrovascular disease and neurodegeneration in Veterans. We compared three MCI diagnostic schemes on their associations with white matter hyperintensity (WMH) burden, hippocampal volume, and cortical thickness in nondemented Vietnam-era Veterans.

methods228 Veterans (mean age = 69.65) were classified using: (1) Alzheimer's Disease Neuroimaging Initiative (ADNI) criteria (subjective memory concerns, impaired Logical Memory, global Clinical Dementia Rating = 0.5); (2) neuropsychological criteria (>1 standard deviation [SD] below norms on two tests within a domain or one test across three domains); and (3) typical criteria (subjective memory concerns and >1.5 SD below norms on one test). Regression models predicting WMH burden adjusted for age and intracranial volume and included MCI status and hippocampal volume; ADNI-based models also included posttraumatic stress disorder symptom severity.

resultsNeuropsychological criteria were associated with greater WMH burden (

conclusionsNeuropsychological criteria more sensitively identified Veterans with greater WMH burden and demonstrated a small, hippocampal volume-dependent effect in amnestic MCI. These findings support the clinical utility of multi-test neuropsychological approaches for detecting complex brain changes in high-comorbidity populations, with implications for risk stratification and targeted intervention in aging Veterans.

Indexed as

mild cognitive impairmentneuroimagingneuropsychological criteriaPTSDtraumatic brain injuryveterans

Identifiers

PMID42316769
PMCPMC13311454

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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.