Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
6 authors.
Lindsay J RotblattDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.ORCID 0000-0002-2854-577X
Lauren EdwardsSan Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California, USA.
Fareshte EraniDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Caitlin M TeraoSan Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California, USA.
Katherine J BangenDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Kelsey R ThomasDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.ORCID 0000-0003-4277-8876
Funding
National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Serggio Carlo Lanata · 2019 to 2026
$36.9M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BRADFORD C DICKERSON · 2019 to 2026
$36.5M
UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Steven Dyal Edland · 2019 to 2026
$34.9M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI AMY J. KIND · 2019 to 2026
$34.5M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI Walter K. Kremers · 2019 to 2026
$33.5M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NIKOLAOS K ROBAKIS · 2020 to 2026
$31.0M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Andrew Franklin Teich · 2020 to 2026
$30.1M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN · 2020 to 2026
$29.4M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI SUMAN JAYADEV · 2020 to 2026
introductionWhite matter hyperintensities (WMHs) are a biomarker of small vessel cerebrovascular changes that can emerge early in Alzheimer's disease. While global WMHs correlate with cognitive decline, the impact of regional WMHs remains understudied. We examined associations of regional WMH distributions with longitudinal cognition.
methodsNational Alzheimer's Coordinating Center cohort participants (n = 1047; cognitively normal, mild cognitive impairment, dementia) completed neuropsychological and neuroimaging assessments. Hierarchical cluster analysis identified baseline regional WMH patterns, and linear mixed-effects models assessed 2 year change in cognitive domain by cluster.
resultsFive WMH clusters emerged. Compared to those with low WMH burden, participants in the mild occipital and high parieto-occipital clusters had faster memory decline; mild fronto-parietal and high parieto-occipital clusters showed faster executive decline; and mild and high fronto-parietal and high parieto-occipital clusters had faster language decline. DISCUSSION: Regional WMH distributions showed distinct trajectories. Posterior WMHs were most associated with memory decline, while even mild WMHs accelerated decline in some domains. HIGHLIGHTS: Hierarchical cluster analysis identified five white matter hyperintensity (WMH) patterns. Posterior WMHs were most related to memory decline. Mild frontal and elevated posterior patterns were associated with executive function decline. Multiple WMH patterns were associated with language decline.
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.
Impact of regional white matter hyperintensity patterns on cognitive trajectories in NACC. · full record | OpenQuestion