Evidence map›Paper›PMID 31034738›Full record

ArticleHuman brain mapping2019

Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease.

Long Xie, Laura E M Wisse, John Pluta, Robin de Flores, Virgine Piskin, Jose V Manjón, Hongzhi Wang, Sandhitsu R Das, Song-Lin Ding, David A Wolk and 2 more

Abstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
–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

84 citing papers in PubMed.

  1. Trial
  2. Article
  3. Cortical thickness in perirhinal area BA35 predicts adaptive episodic memory-guided decision making in older adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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  17. Microstructural Changes in the Tuberal Hypothalamus Correlate with Daytime Sleepiness in Lewy Body Disorders.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  18. Article
  19. Article
  20. Tau, atrophy, and domain-specific cognitive impairment in typical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article

24 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

12 authors.

Long XiePenn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-7184-7028
Laura E M WissePenn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
John PlutaPenn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Robin de FloresPenn Memory Center, University of Pennsylvania, Philadelphia, Pennsylvania.
Virgine PiskinPenn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Jose V ManjónInstituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universidad Politécnica de Valencia, Valencia, Spain.
Hongzhi WangIBM Almaden Research Center, San Jose, California.
Sandhitsu R DasPenn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Song-Lin DingAllen Institute for Brain Science, Seattle, Washington.
David A WolkPenn Memory Center, University of Pennsylvania, Philadelphia, Pennsylvania.
Paul A YushkevichPenn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
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
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
Optimized Arterial Spin Labeling MRI in Mild Cognitive ImpairmentR01AG040271 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A · 2012 to 2016
$2.0M
Alzheimer's AssociationNIA NIH HHS P30 AG010124NIA NIH HHS R01 AG040271NIA NIH HHS R01 AG055005NIA NIH HHS R01 AG056014NIA NIH HHS RF1 AG056014NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904NIBIB NIH HHS R01 EB017255NIH HHS P30-AG010124NIH HHS R01-AG040271NIH HHS R01-AG055005NIH HHS R01-AG056014NIH HHS R01-EB017255
6 · The paper itself

Abstract

Medial temporal lobe (MTL) substructures are the earliest regions affected by neurofibrillary tangle pathology-and thus are promising biomarkers for Alzheimer's disease (AD). However, automatic segmentation of the MTL using only T1-weighted (T1w) magnetic resonance imaging (MRI) is challenging due to the large anatomical variability of the MTL cortex and the confound of the dura mater, which is commonly segmented as gray matter by state-of-the-art algorithms because they have similar intensity in T1w MRI. To address these challenges, we developed a novel atlas set, consisting of 15 cognitively normal older adults and 14 patients with mild cognitive impairment with a label explicitly assigned to the dura, that can be used by the multiatlas automated pipeline (Automatic Segmentation of Hippocampal Subfields [ASHS-T1]) for the segmentation of MTL subregions, including anterior/posterior hippocampus, entorhinal cortex (ERC), Brodmann areas (BA) 35 and 36, and parahippocampal cortex on T1w MRI. Cross-validation experiments indicated good segmentation accuracy of ASHS-T1 and that the dura can be reliably separated from the cortex (6.5% mislabeled as gray matter). Conversely, FreeSurfer segmented majority of the dura mater (62.4%) as gray matter and the degree of dura mislabeling decreased with increasing disease severity. To evaluate its clinical utility, we applied the pipeline to T1w images of 663 ADNI subjects and significant volume/thickness loss is observed in BA35, ERC, and posterior hippocampus in early prodromal AD and all subregions at later stages. As such, the publicly available new atlas and ASHS-T1 could have important utility in the early diagnosis and monitoring of AD and enhancing brain-behavior studies of these regions.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMental Status and Dementia TestsMiddle AgedTemporal LobeAlzheimer's diseaseanterior and posterior hippocampusbiomarkerdura materentorhinal cortexmild cognitive impairmentperirhinal cortexsegmentationT1-weighted magnetic resonance imagingtransentorhinal cortex

Identifiers

PMID31034738
PMCPMC6697377

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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.