Evidence map›Paper›PMID 26026680›Full record

ArticleNeuroscience2015

Tract-based analysis of white matter degeneration in Alzheimer's disease.

S-H Lee, J-P Coutu, P Wilkens, A Yendiki, H D Rosas, D H Salat, Alzheimer’s disease Neuroimaging Initiative (ADNI)

Abstract read
In one paragraph

Article in Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Hippocampal grey matter changes across scales in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Diffusion Tensor Imaging in Alzheimer's Studies.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

7 authors at 3 institutions in 2 countries.

S-H LeeMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Neurology, Kangwon National University School of Medicine, Chuncheon, South Korea. Electronic address: movement@kangwon.ac.kr.
J-P CoutuMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
P WilkensMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
A YendikiMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
H D RosasMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
D H SalatMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA.
Alzheimer’s disease Neuroimaging Initiative (ADNI)
Massachusetts General Hospital · USAthinoula A. Martinos Center for Biomedical Imaging · USVA Boston Healthcare System · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 1999 to 2011
$16.4M
Neuroimaging Biomarkers for disease-modyfying therapies in Hintington's diseaseP01NS058793 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HERSCH, STEVEN M · 2008 to 2012
$6.6M
Prospective Neuroimaging in Huntington's DiseaseR01NS042861 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ROSAS, HERMINIA DIANA · 2003 to 2013
$5.6M
Cerebrovascular Contributions to Brain Aging and DementiaR01NR010827 · NINR · MASSACHUSETTS GENERAL HOSPITAL · PI SALAT, DAVID H · 2007 to 2017
$5.0M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Prospective Neuroimaging in Huntington's DiseaseR56NS042861 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ROSAS, HERMINIA DIANA · 2014 to 2014
$870k
A 3.0 Tesla MRI System in a Neuroscience ICUS10RR019254 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2004 to 2004
$500k
A Siemens MAGNETOTOM Trio 3 Tesla MRI SystemS10RR021110 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2006
$500k
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
NCRR NIH HHS P41 RR014075NCRR NIH HHS P41RR14075NCRR NIH HHS S10 RR019254NCRR NIH HHS S10RR019254NCRR NIH HHS S10 RR019307NCRR NIH HHS S10RR019307NCRR NIH HHS S10 RR021110NCRR NIH HHS S10RR021110NCRR NIH HHS S10 RR023043NCRR NIH HHS S10RR023043NCRR NIH HHS S10 RR023401NCRR NIH HHS S10RR023401NIA NIH HHS U01 AG024904NINDS NIH HHS NS042861NINDS NIH HHS NS058793NINDS NIH HHS P01 NS058793NINDS NIH HHS R01 NS042861NINDS NIH HHS R56 NS042861NINR NIH HHS R01 NR010827NINR NIH HHS R01NR010827
6 · The paper itself

Abstract

Although much prior work has focused on the known cortical pathology that defines Alzheimer's disease (AD) histologically, recent work has additionally demonstrated substantial damage to the cerebral white matter in this condition. While there is large evidence of diffuse damage to the white matter in AD, it is unclear whether specific white matter tracts exhibit a more accelerated pattern of damage and whether the damage is associated with the classical neurodegenerative changes of AD. In this study, we investigated microstructural differences in the large fascicular bundles of the cerebral white matter of individuals with AD and mild cognitive impairment (MCI), using recently developed automated diffusion tractography procedures in the Alzheimer's disease Neuroimaging Initiative (ADNI) dataset. Eighteen major fiber bundles in a total of 36 individuals with AD, 81 MCI and 60 control participants were examined with the TRActs Constrained by UnderLying Anatomy (TRACULA) procedure available as part of the FreeSurfer image processing software package. For each fiber bundle, the mean fractional anisotropy (FA), and mean, radial and axial diffusivities were calculated. Individuals with AD had increased diffusivities in both left and right cingulum-angular bundles compared to control participants (p<0.001). Individuals with MCI also had increased axial and mean diffusivities and increased FA in both cingulum-angular bundles compared to control participants (p<0.05) and decreased radial diffusivity compared to individuals with AD (p<0.05). We additionally examined how white matter deterioration relates to hippocampal volume, a traditional imaging measure of AD pathology, and found the strongest negative correlations in AD patients between hippocampal volume and the diffusivities of the cingulum-angular and cingulum-cingulate gyrus bundles and of the corticospinal tracts (p<0.05). However, statistically controlling for hippocampal volume did not remove all group differences in white matter measures, suggesting a unique contribution of white matter damage to AD unexplained by this disease biomarker. These results suggest that (1) AD-associated deterioration of white matter fibers is greatest in tracts known to be connected to areas of pathology in AD and (2) lower white matter tract integrity is more diffusely associated with lower hippocampal volume indicating that the pathology in the white matter follows to some degree the neurodegenerative staging and progression of this condition.

Indexed as

AgedAlzheimer DiseaseBrainCognitive DysfunctionDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansMaleWhite MatterAlzheimer’s diseasecingulum and angular bundlehippocampusmild cognitive impairmentwhite matter

Identifiers

PMID26026680
PMCPMC4505932
OpenAlexW421681547

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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.