Evidence map›Paper›PMID 31833550›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Cortical Microstructural Alterations in Mild Cognitive Impairment and Alzheimer's Disease Dementia.

Nicholas M Vogt, Jack F Hunt, Nagesh Adluru, Douglas C Dean, Sterling C Johnson, Sanjay Asthana, John-Paul J Yu, Andrew L Alexander, Barbara B Bendlin

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
6.1field-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

89 citing papers in PubMed, 1 synthesis or guideline pooled it, 124 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Brain microstructure mediates the relationship between Alzheimer's proteinopathies and memory.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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29 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

9 authors at 2 institutions in 1 country.

Nicholas M VogtWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA.
Jack F HuntWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA.
Nagesh AdluruWaisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705 USA.
Douglas C DeanWaisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705 USA.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA.
Sanjay AsthanaWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA.
John-Paul J YuDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA.
Andrew L AlexanderWaisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705 USA.
Barbara B BendlinWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA.
University of Wisconsin–Madison · USWilliam S. Middleton Memorial Veterans Hospital · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RICHARD J CHAPPELL · 2019 to 2026
$34.5M
Wisconsin Alzheimer's Disease Research CenterP50AG033514 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, JEFFREY A · 2009 to 2018
$16.2M
TrainingU54AI117924 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI CRAVEN, MARK W. · 2014 to 2018
$11.3M
INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI MESSING, ALBEE · 2016 to 2020
$6.0M
White matter degeneration: biomarkers in preclinical Alzheimer's DiseaseR01AG037639 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA · 2012 to 2023
$5.3M
Algebraic Formulations for Characterizing Structural Brain Connectivity Changes and Pathology Transmission Networks in Preclinical Alzheimer's DiseaseRF1AG059312 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA, SINGH, VIKAS · 2019 to 2019
$1.8M
Manifold-valued statistical models for longitudinal morphometic analysis in preclinical Alzheimer's disease (AD)R01EB022883 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, STERLING C, SINGH, VIKAS · 2016 to 2018
$995k
Gut Microbiome contributions to the development and progression of Alzheimer’s DiseaseF30AG059346 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI VOGT, NICHOLAS M · 2018 to 2020
$104k
Determining the effects of neighborhood disadvantage in preclinical Alzheimer’s DiseaseF31AG062116 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI HUNT, JACK FARO VANDER STOEP · 2019 to 2021
$84k
NCATS NIH HHS UL1 TR002373NIAID NIH HHS U54 AI117924NIA NIH HHS F30 AG059346NIA NIH HHS F31 AG062116NIA NIH HHS P30 AG062715NIA NIH HHS P50 AG033514NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG037639NIA NIH HHS RF1 AG059312NIBIB NIH HHS R01 EB022883NICHD NIH HHS U54 HD090256NIGMS NIH HHS T32 GM008692
6 · The paper itself

Abstract

In Alzheimer's disease (AD), neurodegenerative processes are ongoing for years prior to the time that cortical atrophy can be reliably detected using conventional neuroimaging techniques. Recent advances in diffusion-weighted imaging have provided new techniques to study neural microstructure, which may provide additional information regarding neurodegeneration. In this study, we used neurite orientation dispersion and density imaging (NODDI), a multi-compartment diffusion model, in order to investigate cortical microstructure along the clinical continuum of mild cognitive impairment (MCI) and AD dementia. Using gray matter-based spatial statistics (GBSS), we demonstrated that neurite density index (NDI) was significantly lower throughout temporal and parietal cortical regions in MCI, while both NDI and orientation dispersion index (ODI) were lower throughout parietal, temporal, and frontal regions in AD dementia. In follow-up ROI analyses comparing microstructure and cortical thickness (derived from T1-weighted MRI) within the same brain regions, differences in NODDI metrics remained, even after controlling for cortical thickness. Moreover, for participants with MCI, gray matter NDI-but not cortical thickness-was lower in temporal, parietal, and posterior cingulate regions. Taken together, our results highlight the utility of NODDI metrics in detecting cortical microstructural degeneration that occurs prior to measurable macrostructural changes and overt clinical dementia.

Indexed as

Brain Cortical ThicknessAgedAged, 80 and overAlzheimer DiseaseCerebral CortexCognitive DysfunctionCohort StudiesFemaleFollow-Up StudiesGray MatterHumansMaleMiddle Ageddiffusion-weighted imaginggray matterneurodegenerationneuroimagingNODDI

Identifiers

PMID31833550
PMCPMC7197091
OpenAlexW2995978677

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.