Evidence map›Paper›PMID 27432800›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2017

Tract-specific white matter hyperintensities disrupt neural network function in Alzheimer's disease.

Alexander N W Taylor, Lana Kambeitz-Ilankovic, Benno Gesierich, Lee Simon-Vermot, Nicolai Franzmeier, Miguel Á Araque Caballero, Sophia Müller, Liu Hesheng, Birgit Ertl-Wagner, Katharina Bürger and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 79 citations in OpenAlex.

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  8. Metabolic Messengers: ketone bodies.Nature metabolism · 2023
    Review
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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

15 authors at 4 institutions in 2 countries.

Alexander N W TaylorInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Lana Kambeitz-IlankovicDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Benno GesierichInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Lee Simon-VermotInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Nicolai FranzmeierInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Miguel Á Araque CaballeroInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Sophia MüllerInstitute of Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Liu HeshengAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Birgit Ertl-WagnerInstitute of Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Katharina BürgerInstitute of Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Michael W WeinerDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA; VA Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA.
Martin DichgansInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
Marco DueringInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Michael EwersInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany. Electronic address: michael.ewers@med.uni-muenchen.de.
Alzheimer's Disease Neuroimaging Initiative (ADNI)
Ludwig-Maximilians-Universität München · DEMassachusetts General Hospital · USMunich Cluster for Systems Neurology · DESan Francisco VA Medical Center · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BRUCE L MILLER · 2002 to 2026
$67.2M
The Frontotemporal Lobar Degeneration Neuroimaging InitiativeR01AG032306 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2009 to 2013
$10.0M
Prediction of cognitive decline with structural, diffusion, and perfusion MRIR01AG010897 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI WEINER, MICHAEL W · 1992 to 2013
$9.4M
Characterizing Cognitive Decline in Late Life Depression: The ADNI-D ProjectR01MH098062 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Robert Scott Mackin · 2013 to 2026
$9.1M
Translating The Individualized Functional Connectome To Surgical PlanningR01NS091604 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LIU, HESHENG · 2015 to 2019
$2.1M
Resource for MRI of Neurodegenerative DisordersP41EB015904 · NIBIB · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WEINER, MICHAEL W · 2012 to 2012
$1.2M
NIA NIH HHS P01 AG019724NIA NIH HHS R01 AG010897NIA NIH HHS R01 AG032306NIA NIH HHS U01 AG024904NIBIB NIH HHS P41 EB015904NIMH NIH HHS R01 MH098062NINDS NIH HHS R01 NS091604
6 · The paper itself

Abstract

introductionWhite matter hyperintensities (WMHs) increase the risk of Alzheimer's disease (AD). Whether WMHs are associated with the decline of functional neural networks in AD is debated.

methodResting-state functional magnetic resonance imaging and WMH were assessed in 78 subjects with increased amyloid levels on AV-45 positron emission tomography (PET) in different clinical stages of AD. We tested the association between WMH volume in major atlas-based fiber tract regions of interest (ROIs) and changes in functional connectivity (FC) between the tracts' projection areas within the default mode network (DMN).

resultsWMH volume within the inferior fronto-occipital fasciculus (IFOF) was the highest among all tract ROIs and associated with reduced FC in IFOF-connected DMN areas, independently of global AV-45 PET. Higher AV-45 PET contributed to reduced FC in IFOF-connected, temporal, and parietal DMN areas.

conclusionsHigh fiber tract WMH burden is associated with reduced FC in connected areas, thus adding to the effects of amyloid pathology on neuronal network function.

Indexed as

Brain MappingAgedAged, 80 and overAlzheimer DiseaseFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNerve NetNeuropsychological TestsPositron-Emission TomographyWhite MatterAlzheimer's diseaseAmyloid-betaFiber tractFunctional connectivityResting-state fMRIVascularWhite matter hyperintensities

Identifiers

PMID27432800
PMCPMC5319922
OpenAlexW2496219973

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.