Evidence map›Paper›PMID 35086906›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Medial Temporal Lobe Networks in Alzheimer's Disease: Structural and Molecular Vulnerabilities.

Robin de Flores, Sandhitsu R Das, Long Xie, Laura E M Wisse, Xueying Lyu, Preya Shah, Paul A Yushkevich, David A Wolk

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Brain morphometry patterns in the presence of Alzheimer's disease and/or LATE neuropathologic changes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  9. Review
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  14. Amyloid-Frontiers in aging neuroscience · 2026
    Article
  15. Adaptive Integration of Incomplete Multimodal 3D Neuroimaging for Alzheimer's Prediction and Biomarker Discovery.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    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

8 authors.

Robin de FloresDepartment of Neurology, University of Pennsylvania, Philadelphia 19104, Pennsylvania deflores@cyceron.fr.
Sandhitsu R DasPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia 19104, Pennsylvania.
Long XiePenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia 19104, Pennsylvania.
Laura E M WissePenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia 19104, Pennsylvania.
Xueying LyuDepartment of Bioengineering, University of Pennsylvania, Philadelphia 19104, Pennsylvania.
Preya ShahDepartment of Bioengineering, University of Pennsylvania, Philadelphia 19104, Pennsylvania.
Paul A YushkevichPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia 19104, Pennsylvania.
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia 19104, Pennsylvania.

Funding

UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI XIE, SHARON XIANGWEN · 1991 to 2020
$35.1M
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
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
Adaptive Large-Scale Framework for Automatic Biomedical Image SegmentationR01EB017255 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2014 to 2018
$3.0M
Improving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseRF1AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2021 to 2021
$2.1M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsRF1AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2023 to 2023
$2.1M
NIA NIH HHS P30 AG010124NIA NIH HHS P30 AG072979NIA NIH HHS R01 AG056014NIA NIH HHS RF1 AG056014NIA NIH HHS RF1 AG069474NIBIB NIH HHS R01 EB017255
6 · The paper itself

Abstract

The medial temporal lobe (MTL) is connected to the rest of the brain through two main networks: the anterior-temporal (AT) and the posterior-medial (PM) systems. Given the crucial role of the MTL and networks in the physiopathology of Alzheimer's disease (AD), the present study aimed at (1) investigating whether MTL atrophy propagates specifically within the AT and PM networks, and (2) evaluating the vulnerability of these networks to AD proteinopathies. To do that, we used neuroimaging data acquired in human male and female in three distinct cohorts: (1) resting-state functional MRI (rs-fMRI) from the aging brain cohort (ABC) to define the AT and PM networks (

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloidAmyloid beta-PeptidesAtrophyFemaleHumansMagnetic Resonance ImagingMalePositron-Emission Tomographytau ProteinsTemporal LobeAmyloidAmyloid beta-Peptidestau ProteinsAlzheimer's diseasemedial temporal lobenetworksneurodegenerationproteinopathies

Identifiers

PMID35086906
PMCPMC8916768

What OpenQuestion holds

Textmetadata
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.