Evidence map›Paper›PMID 32845545›Full record

ArticleHuman brain mapping2020

Longitudinal atrophy in early Braak regions in preclinical Alzheimer's disease.

Long Xie, Laura E M Wisse, Sandhitsu R Das, Nicolas Vergnet, Mengjin Dong, Ranjit Ittyerah, Robin de Flores, Paul A Yushkevich, David A Wolk, Alzheimer's Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.5field-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

39 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
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  7. Disease stage-specific atrophy markers in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Article
  9. MRI-Driven Longitudinal Studies of Hippocampal Alterations During the Initial Cognitive Decline.IEEE journal of translational engineering in health and medicine · 2025
    Article
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  11. Review
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  13. Review
  14. Article
  15. Article
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  17. Medial temporal lobe gray matter microstructure in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  18. Article
  19. 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

10 authors at 3 institutions in 2 countries.

Long XiePenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-7184-7028
Laura E M WissePenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-7504-3943
Sandhitsu R DasPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nicolas VergnetPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Mengjin DongPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ranjit IttyerahPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Robin de FloresDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Paul A YushkevichPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alzheimer's Disease Neuroimaging Initiative
Penn Center for AIDS Research · USAlzheimer’s Disease Neuroimaging Initiative · USLund University · SE

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI XIE, SHARON XIANGWEN · 1991 to 2020
$35.1M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsR01AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Paul A. Yushkevich · 2017 to 2026
$4.5M
Modulators of Medial Temporal Lobe Subregion Structure and Function in Normal and Pathological AgingR01AG055005 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A · 2017 to 2021
$3.3M
Adaptive Large-Scale Framework for Automatic Biomedical Image SegmentationR01EB017255 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2014 to 2018
$3.0M
Optimized Arterial Spin Labeling MRI in Mild Cognitive ImpairmentR01AG040271 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A · 2012 to 2016
$2.0M
BrightFocus FoundationFoundation Philippe ChatrierNIA NIH HHS P30 AG010124NIA NIH HHS R01 AG040271NIA NIH HHS R01 AG055005NIA NIH HHS R01 AG056014NIA NIH HHS U01 AG024904NIBIB NIH HHS R01 EB017255NIH HHS R01-AG055005
6 · The paper itself

Abstract

A major focus of Alzheimer's disease (AD) research has been finding sensitive outcome measures to disease progression in preclinical AD, as intervention studies begin to target this population. We hypothesize that tailored measures of longitudinal change of the medial temporal lobe (MTL) subregions (the sites of earliest cortical tangle pathology) are more sensitive to disease progression in preclinical AD compared to standard cognitive and plasma NfL measures. Longitudinal T1-weighted MRI of 337 participants were included, divided into amyloid-β negative (Aβ-) controls, cerebral spinal fluid p-tau positive (T+) and negative (T-) preclinical AD (Aβ+ controls), and early prodromal AD. Anterior/posterior hippocampus, entorhinal cortex, Brodmann areas (BA) 35 and 36, and parahippocampal cortex were segmented in baseline MRI using a novel pipeline. Unbiased change rates of subregions were estimated using MRI scans within a 2-year-follow-up period. Experimental results showed that longitudinal atrophy rates of all MTL subregions were significantly higher for T+ preclinical AD and early prodromal AD than controls, but not for T- preclinical AD. Posterior hippocampus and BA35 demonstrated the largest group differences among hippocampus and MTL cortex respectively. None of the cross-sectional MTL measures, longitudinal cognitive measures (PACC, ADAS-Cog) and cross-sectional or longitudinal plasma NfL reached significance in preclinical AD. In conclusion, longitudinal atrophy measurements reflect active neurodegeneration and thus are more directly linked to active disease progression than cross-sectional measurements. Moreover, accelerated atrophy in preclinical AD seems to occur only in the presence of concomitant tau pathology. The proposed longitudinal measurements may serve as efficient outcome measures in clinical trials.

Indexed as

Disease ProgressionProdromal SymptomsAgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesAtrophyCross-Sectional StudiesFemaleHippocampusHumansLongitudinal StudiesMagnetic Resonance ImagingMaleParahippocampal GyrusPerirhinal CortexAmyloid beta-PeptidesMAPT protein, humantau ProteinsASHSBrodmann area 35cross-sectionalentorhinal cortexhippocampuslongitudinal atrophyMRIpreclinical Alzheimer's diseasetau

Identifiers

PMID32845545
PMCPMC7555086
OpenAlexW3080256062

What OpenQuestion holds

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LicenceCC BY
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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.