Evidence map›Paper›PMID 17190943›Full record

ArticleNeurology2006

Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD.

M Yoshita, E Fletcher, D Harvey, M Ortega, O Martinez, D M Mungas, B R Reed, C S DeCarli

Abstract readComparative Study
In one paragraph

Article in Neurology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 256 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
256citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 1% of its field
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

256 citing papers in PubMed, 2 syntheses or guidelines pooled it, 442 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Linking cortical atrophy to white matter hyperintensities of presumed vascular origin.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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  16. Vascular risk factors mediate the relationship between education and white matter hyperintensities.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  19. Impact of regional white matter hyperintensity patterns on cognitive trajectories in NACC.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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196 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

M YoshitaDepartment of Neurology and Center for Neuroscience, University of California at Davis, 1544 Newton Ct., Davis, CA 95616, USA. myoshita@ucdavis.edu
E Fletcher
D Harvey
M Ortega
O Martinez
D M Mungas
B R Reed
C S DeCarli
Military Health System · US

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
Heterogeneity of Mild Cognitive Impairment(MCI)R01AG021028 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 2003 to 2014
$4.6M
ENGLISH AND SPANISH ASSESSMENT OF COGNITION IN ELDERLYR01AG010220 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI MUNGAS, DAN M. · 1992 to 2012
$4.5M
NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG10129NIA NIH HHS R01 AG010220NIA NIH HHS R01 AG021028NIA NIH HHS R01 AG10220NINDS NIH HHS R01 NS017950
6 · The paper itself

Abstract

objectiveTo analyze the extent and spatial distribution of white matter hyperintensities (WMH) in brain regions from cognitively normal older individuals (CN) and patients with mild cognitive impairment (MCI) and Alzheimer disease (AD).

methodsWe studied 26 mild AD, 28 MCI, and 33 CN. MRI analysis included quantification of WMH volume, nonlinear mapping onto a common anatomic image, and spatial localization of each WMH voxel to create an anatomically precise frequency distribution map. Areas of greatest frequency of WMH from the WMH composite map were used to identify 10 anatomic regions involving periventricular areas and the corpus callosum (CC) for group comparisons.

resultsTotal WMH volumes were associated with age, extent of concurrent vascular risk factors, and diagnosis. After correcting for age, total WMH volumes remained significantly associated with diagnosis and extent of vascular risk. Regional WMH analyses revealed significant differences in WMH across regions that also differed significantly according to diagnosis. In post-hoc analyses, significant differences were seen between CN and AD in posterior periventricular regions and the splenium of the CC. MCI subjects had intermediate values at all regions. Repeated measures analysis including vascular risk factors in the model found a significant relationship between periventricular WMH and vascular risk that differed by region, but regional differences according to diagnosis remained significant and there was no interaction between diagnosis and vascular risk.

conclusionsDifferences in white matter hyperintensities (WMH) associated with increasing cognitive impairment appear related to both extent and spatial location. Multiple regression analysis of regional WMH, vascular risk factors, and diagnosis suggest that these spatial differences may result from the additive effects of vascular and degenerative injury. Posterior periventricular and corpus callosum extension of WMH associated with mild cognitive impairment and Alzheimer disease indicate involvement of strategic white matter bundles that may contribute to the cognitive deficits seen with these syndromes.

Indexed as

Magnetic Resonance ImagingAgedAged, 80 and overAgingAlzheimer DiseaseCognition DisordersFemaleHumansImaging, Three-DimensionalMaleMiddle AgedNerve Fibers, MyelinatedReference Values

Identifiers

PMID17190943
PMCPMC3776588
OpenAlexW1978316308

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.