Evidence map›Paper›PMID 26515192›Full record

ArticleBrain imaging and behavior2016

An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer's disease.

Madelaine Daianu, Mario F Mendez, Vatche G Baboyan, Yan Jin, Rebecca J Melrose, Elvira E Jimenez, Paul M Thompson

Open access · hybridAbstract read
In one paragraph

Article in Brain imaging and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
7.0field-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

35 citing papers in PubMed, 59 citations in OpenAlex.

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  20. FTD spectrum: Neuroimaging across the FTD spectrum.Progress in molecular biology and translational science · 2019
    Review
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 4 institutions in 1 country.

Madelaine DaianuImaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA.
Mario F MendezBehavioral Neurology Program, Department of Neurology, UCLA, Los Angeles, CA, USA.
Vatche G BaboyanImaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA.
Yan JinImaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA.
Rebecca J MelroseBrain, Behavior, and Aging Research Center, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Elvira E JimenezBehavioral Neurology Program, Department of Neurology, UCLA, Los Angeles, CA, USA.
Paul M ThompsonImaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA. pthomp@usc.edu.
Behavioral Pharma (United States) · USUniversity of California, Los Angeles · USUniversity of Southern California · USNeurobehavioral Systems · US

Funding

Vascular Contributions to Dementia and Genetic Risk Factors for Alzheimer's DiseaseP01AG052350 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Daniel A Nation, ARTHUR W TOGA · 2016 to 2026
$28.4M
UCLA ALZHEIMERS DISEASE RESEARCH CENTERP50AG016570 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BREDESEN, DALE E. · 1999 to 2014
$25.9M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
HARDI Mapping of Disease Effects on the BrainR01EB008432 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2009 to 2012
$2.6M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
Multidisciplinary Study of Social Behavior and Emotion in Frontotemporal DementiaR01AG034499 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MENDEZ, MARIO F. · 2009 to 2013
$1.9M
DIGITAL REPRESENTATION AND VISUALIZATION OF HUMAN BRAINR01LM005639 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 1995 to 2005
$1.8M
A Multidimensional Alzheimer's Disease Brain AtlasR01EB008281 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2007 to 2010
$1.4M
Empowering Personalized Medicine: Integrating Imaging, Genetics, and BiomarkersR01MH097268 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COPPOLA, GIOVANNI, THOMPSON, PAUL M · 2012 to 2014
$1.3M
NIA NIH HHS P01 AG052350NIA NIH HHS P50 AG016570NIA NIH HHS R01 AG034499NIA NIH HHS R01 AG040060NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB008281NIBIB NIH HHS R01 EB008432NIBIB NIH HHS U54 EB020403NIMH NIH HHS R01 MH097268NLM NIH HHS R01 LM005639
6 · The paper itself

Abstract

Cortical and subcortical nuclei degenerate in the dementias, but less is known about changes in the white matter tracts that connect them. To better understand white matter changes in behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer's disease (EOAD), we used a novel approach to extract full 3D profiles of fiber bundles from diffusion-weighted MRI (DWI) and map white matter abnormalities onto detailed models of each pathway. The result is a spatially complex picture of tract-by-tract microstructural changes. Our atlas of tracts for each disease consists of 21 anatomically clustered and recognizable white matter tracts generated from whole-brain tractography in 20 patients with bvFTD, 23 with age-matched EOAD, and 33 healthy elderly controls. To analyze the landscape of white matter abnormalities, we used a point-wise tract correspondence method along the 3D profiles of the tracts and quantified the pathway disruptions using common diffusion metrics - fractional anisotropy, mean, radial, and axial diffusivity. We tested the hypothesis that bvFTD and EOAD are associated with preferential degeneration in specific neural networks. We mapped axonal tract damage that was best detected with mean and radial diffusivity metrics, supporting our network hypothesis, highly statistically significant and more sensitive than widely studied fractional anisotropy reductions. From white matter diffusivity, we identified abnormalities in bvFTD in all 21 tracts of interest but especially in the bilateral uncinate fasciculus, frontal callosum, anterior thalamic radiations, cingulum bundles and left superior longitudinal fasciculus. This network of white matter alterations extends beyond the most commonly studied tracts, showing greater white matter abnormalities in bvFTD versus controls and EOAD patients. In EOAD, network alterations involved more posterior white matter - the parietal sector of the corpus callosum and parahipoccampal cingulum bilaterally. Widespread but distinctive white matter alterations are a key feature of the pathophysiology of these two forms of dementia.

Indexed as

Diffusion Magnetic Resonance ImagingImaging, Three-DimensionalAge of OnsetAlzheimer DiseaseBrainCohort StudiesDiffusion Tensor ImagingFemaleFrontotemporal DementiaHumansMaleMental Status ScheduleMiddle AgedWhite MatterBehavioral variant frontotemporal dementiaDiffusion tensor imaging (DTI)Early-onset Alzheimer’s diseaseTract analysisWhite matter

Identifiers

PMID26515192
PMCPMC5167220
OpenAlexW1919284595

What OpenQuestion holds

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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.