Evidence map›Paper›PMID 24179862›Full record

ArticleNeuroImage. Clinical2013

Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging.

Talia M Nir, Neda Jahanshad, Julio E Villalon-Reina, Arthur W Toga, Clifford R Jack, Michael W Weiner, Paul M Thompson, Alzheimer's Disease Neuroimaging Initiative (ADNI)

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers.

0numbers the graph read from it
0cells of the map it votes in
211citing 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

211 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Probabilistic mapping and automated segmentation of human brainstem white matter bundles.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Longitudinal diffusion tensor imaging correlates with amyloid burden in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

151 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.

Talia M NirImaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Neda Jahanshad
Julio E Villalon-Reina
Arthur W Toga
Clifford R Jack
Michael W Weiner
Paul M Thompson
Alzheimer's Disease Neuroimaging Initiative (ADNI)

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
UCLA ALZHEIMERS DISEASE RESEARCH CENTERP50AG016570 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BREDESEN, DALE E. · 1999 to 2014
$25.9M
DIGITAL REPRESENTATION AND VISUALIZATION OF HUMAN BRAINR01LM005639 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 1995 to 2005
$1.8M
"MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies"K01AG030514 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARMICHAEL, OWEN T. · 2008 to 2012
$495k
Novel PDEs for Cortical Mapping and Analysis in DiseaseR21RR019771 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2003 to 2004
$351k
NCRR NIH HHS R21 RR019771NIA NIH HHS K01 AG030514NIA NIH HHS P30 AG010129NIA NIH HHS P50 AG016570NIA NIH HHS U01 AG024904NLM NIH HHS R01 LM005639
6 · The paper itself

Abstract

The Alzheimer's Disease Neuroimaging Initiative (ADNI) recently added diffusion tensor imaging (DTI), among several other new imaging modalities, in an effort to identify sensitive biomarkers of Alzheimer's disease (AD). While anatomical MRI is the main structural neuroimaging method used in most AD studies and clinical trials, DTI is sensitive to microscopic white matter (WM) changes not detectable with standard MRI, offering additional markers of neurodegeneration. Prior DTI studies of AD report lower fractional anisotropy (FA), and increased mean, axial, and radial diffusivity (MD, AxD, RD) throughout WM. Here we assessed which DTI measures may best identify differences among AD, mild cognitive impairment (MCI), and cognitively healthy elderly control (NC) groups, in region of interest (ROI) and voxel-based analyses of 155 ADNI participants (mean age: 73.5 ± 7.4; 90 M/65 F; 44 NC, 88 MCI, 23 AD). Both VBA and ROI analyses revealed widespread group differences in FA and all diffusivity measures. DTI maps were strongly correlated with widely-used clinical ratings (MMSE, CDR-sob, and ADAS-cog). When effect sizes were ranked, FA analyses were least sensitive for picking up group differences. Diffusivity measures could detect more subtle MCI differences, where FA could not. ROIs showing strongest group differentiation (lowest p-values) included tracts that pass through the temporal lobe, and posterior brain regions. The left hippocampal component of the cingulum showed consistently high effect sizes for distinguishing groups, across all diffusivity and anisotropy measures, and in correlations with cognitive scores.

Indexed as

ADNI, Alzheimer's Disease Neuroimaging InitiativeAlzheimer's diseaseAxD, axial diffusivityBiomarkersClinical scoresDTIMCINC, normal controlRD, radial diffusivityWhite matter

Identifiers

PMID24179862
PMCPMC3792746

What OpenQuestion holds

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Registered trials

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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.