Evidence map›Paper›PMID 34571161›Full record

ArticleNeuroImage2021

A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images.

Douglas N Greve, Benjamin Billot, Devani Cordero, Andrew Hoopes, Malte Hoffmann, Adrian V Dalca, Bruce Fischl, Juan Eugenio Iglesias, Jean C Augustinack

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Nutritional state-dependent changes in subcortical limbic structures in anorexia nervosa are linked to leptin, ghrelin, and neurofilament light.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
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  4. Diencephalic integrity explains aspects of hippocampal amnesia.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  5. Article
  6. Article
  7. Structural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-Analysis.Journal of the American Academy of Child and Adolescent Psychiatry · 2026
    Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Fast segmentation with the NextBrain histological atlas.bioRxiv : the preprint server for biology · 2025
    Article
  15. Advanced brain aging, selective vulnerability in gray matter, and cognition in Parkinson's disease.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  16. Observational
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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

9 authors.

Douglas N GreveAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Radiology Department, Boston, MA, USA. Electronic address: dgreve@mgh.harvard.edu.
Benjamin BillotCentre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK.
Devani CorderoAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Andrew HoopesAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Malte HoffmannAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Radiology Department, Boston, MA, USA.
Adrian V DalcaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Radiology Department, Boston, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA.
Bruce FischlAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Radiology Department, Boston, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA.
Juan Eugenio IglesiasAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Radiology Department, Boston, MA, USA; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA.
Jean C AugustinackAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Radiology Department, Boston, MA, USA.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
TBDU19AG068753 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Lindsay A. Farrer · 2020 to 2026
$42.4M
EPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM STUDYR01AG008122 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 1989 to 2015
$14.4M
MRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5M
The Human Connectome Project (HCP)U01MH093765 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2010 to 2014
$12.1M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Imaging and Analysis Techniques to Construct a Cell Census Atlas of the Human Brain Admin SupplementU01MH117023 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A, FISCHL, BRUCE · 2018 to 2022
$7.6M
Neuropathology of CTE and Delayed Effects of TBI: Toward In-Vivo DiagnosticsU01NS086625 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAMS-O'CONNOR, KRISTEN · 2014 to 2017
$6.1M
FreeSurfer Development, Maintenance, and HardeningR01EB023281 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl, Douglas Nowlin Greve · 2016 to 2026
$5.6M
Cerebrovascular Contributions to Brain Aging and DementiaR01NR010827 · NINR · MASSACHUSETTS GENERAL HOSPITAL · PI SALAT, DAVID H · 2007 to 2017
$5.0M
NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIA NIH HHS R01 AG008122NIA NIH HHS R01 AG016495NIA NIH HHS R01 AG057672NIA NIH HHS R01 AG059011NIA NIH HHS R01 AG064027NIA NIH HHS R01 AG070988NIA NIH HHS R56 AG064027NIA NIH HHS RF1 AG072056NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG068753NIBIB NIH HHS P41 EB015896NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB006758NIBIB NIH HHS R01 EB019956NIBIB NIH HHS R01 EB023281NIBIB NIH HHS R21 EB018907NICHD NIH HHS K99 HD101553NIDA NIH HHS U24 DA041123NIMH NIH HHS RF1 MH121885NIMH NIH HHS RF1 MH123195NIMH NIH HHS U01 MH093765NIMH NIH HHS U01 MH117023NINDS NIH HHS R01 NS070963NINDS NIH HHS R01 NS083534NINDS NIH HHS R01 NS105820NINDS NIH HHS R01 NS112161NINDS NIH HHS U01 NS086625NINR NIH HHS R01 NR010827
6 · The paper itself

Abstract

A tool was developed to automatically segment several subcortical limbic structures (nucleus accumbens, basal forebrain, septal nuclei, hypothalamus without mammillary bodies, the mammillary bodies, and fornix) using only a T1-weighted MRI as input. This tool fills an unmet need as there are few, if any, publicly available tools to segment these clinically relevant structures. A U-Net with spatial, intensity, contrast, and noise augmentation was trained using 39 manually labeled MRI data sets. In general, the Dice scores, true positive rates, false discovery rates, and manual-automatic volume correlation were very good relative to comparable tools for other structures. A diverse data set of 698 subjects were segmented using the tool; evaluation of the resulting labelings showed that the tool failed in less than 1% of cases. Test-retest reliability of the tool was excellent. The automatically segmented volume of all structures except mammillary bodies showed effectiveness at detecting either clinical AD effects, age effects, or both. This tool will be publicly released with FreeSurfer (surfer.nmr.mgh.harvard.edu/fswiki/ScLimbic). Together with the other cortical and subcortical limbic segmentations, this tool will allow FreeSurfer to provide a comprehensive view of the limbic system in an automated way.

Indexed as

Deep LearningAdolescentAdultAgedAged, 80 and overBasal ForebrainFemaleFornix, BrainHumansLimbic SystemMagnetic Resonance ImagingMaleMiddle AgedNucleus AccumbensReproducibility of ResultsSeptal Nuclei

Identifiers

PMID34571161
PMCPMC8643077

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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.