Evidence map›Paper›PMID 30952798›Full record

ArticleNeurology2019

Cerebral white matter free water: A sensitive biomarker of cognition and function.

Pauline Maillard, Evan Fletcher, Baljeet Singh, Oliver Martinez, David K Johnson, John M Olichney, Sarah T Farias, Charles DeCarli

Abstract read
In one paragraph

Article in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Trial
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  5. The role of vascular risk factors in white matter tract microstructure: a multi-cohort study in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  6. Article
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  9. Free water changes and their correlations with multimodal biomarkers in frontotemporal dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  13. Review
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  20. MRI markers of cerebrospinal fluid dynamics predict dementia and mediate the impact of cardiovascular risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article

10 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.

Pauline MaillardFrom the Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., E.F., B.S., O.M., C.D.), Davis, CA; and Department of Neurology (D.K.J., J.M.O., S.T.F., C.D.), University of California, Davis. pmaillard@ucdavis.edu.
Evan FletcherFrom the Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., E.F., B.S., O.M., C.D.), Davis, CA; and Department of Neurology (D.K.J., J.M.O., S.T.F., C.D.), University of California, Davis.
Baljeet SinghFrom the Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., E.F., B.S., O.M., C.D.), Davis, CA; and Department of Neurology (D.K.J., J.M.O., S.T.F., C.D.), University of California, Davis.
Oliver MartinezFrom the Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., E.F., B.S., O.M., C.D.), Davis, CA; and Department of Neurology (D.K.J., J.M.O., S.T.F., C.D.), University of California, Davis.
David K JohnsonFrom the Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., E.F., B.S., O.M., C.D.), Davis, CA; and Department of Neurology (D.K.J., J.M.O., S.T.F., C.D.), University of California, Davis.
John M OlichneyFrom the Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., E.F., B.S., O.M., C.D.), Davis, CA; and Department of Neurology (D.K.J., J.M.O., S.T.F., C.D.), University of California, Davis.
Sarah T FariasFrom the Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., E.F., B.S., O.M., C.D.), Davis, CA; and Department of Neurology (D.K.J., J.M.O., S.T.F., C.D.), University of California, Davis.
Charles DeCarliFrom the Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., E.F., B.S., O.M., C.D.), Davis, CA; and Department of Neurology (D.K.J., J.M.O., S.T.F., C.D.), University of California, Davis.

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
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC)RF1AG059421 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2018 to 2018
$6.1M
Imaging Genomics of the Aging BrainR01AG058464 · NIA · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2018 to 2022
$3.9M
Novel imaging and endothelial biomarkers of small vessel cerebrovascular diseaseUH3NS100608 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DECARLI, CHARLES, KRAMER, JOEL H · 2018 to 2020
$3.5M
Microglial, Inflammatory and Omics Markers of Cerebral Small Vessel Disease in the CHARGE ConsortiumUH3NS100605 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2018 to 2020
$3.0M
The impact of non-amyloid processes on cognitive agingR01AG047827 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DECARLI, CHARLES · 2014 to 2018
$2.9M
ADSP Follow-up in Multi-Ethnic Cohorts via Endophenotypes, Omics & Model SystemsU01AG052409 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2016 to 2020
$1.6M
NIA NIH HHS P30 AG010129NIA NIH HHS R01 AG047827NIA NIH HHS R01 AG054076NIA NIH HHS R01 AG058464NIA NIH HHS RF1 AG059421NIA NIH HHS U01 AG052409NINDS NIH HHS R01 NS017950NINDS NIH HHS UH3 NS100605NINDS NIH HHS UH3 NS100608
6 · The paper itself

Abstract

objectiveTo determine whether free water (FW) content, initially developed to correct metrics derived from diffusion tensor imaging and recently found to be strongly associated with vascular risk factors, may constitute a sensitive biomarker of white matter (WM) microstructural differences associated with cognitive performance but remains unknown.

methodsFive hundred thirty-six cognitively diverse individuals, aged 77 ± 8 years, received yearly comprehensive clinical evaluations and a baseline MRI examination of whom 224 underwent follow-up MRI. WM microstructural measures, including FW, fractional anisotropy, and mean diffusivity corrected for FW and WM hyperintensity burden were computed within WM voxels of each individual. Baseline and change in MRI metrics were then used as independent variables to explain baseline and change in episodic memory (EM), executive function (EF), and Clinical Dementia Rating (CDR) scores using linear, logistic, and Cox proportional-hazards regressions.

resultsHigher baseline FW and WM hyperintensity were associated with lower baseline EM and EF, higher baseline CDR, accelerated EF and EM decline, and higher probability to transition to a more severe CDR stage (

conclusionsThis study finds cross-sectional and longitudinal associations between FW content and trajectory of cognitive and functional performance in a large sample of cognitively diverse individuals. It supports the need to investigate the pathophysiologic process that manifests increased FW, potentially leading to more severe WM territory injury and promoting cognitive and functional decline.

Indexed as

AgedAged, 80 and overAnisotropyBiomarkersBrainCognitionCross-Sectional StudiesExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsWaterWhite MatterBiomarkersWater

Identifiers

PMID30952798
PMCPMC6537135

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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.