Evidence map›Paper›PMID 34838750›Full record

ArticleNeuroImage2021

High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology.

Kadharbatcha S Saleem, Alexandru V Avram, Daniel Glen, Cecil Chern-Chyi Yen, Frank Q Ye, Michal Komlosh, Peter J Basser

Open access · goldAbstract 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 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
6.4field-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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Guideline
  2. Brainana: an end-to-end preprocessing framework for macaque neuroimaging.bioRxiv : the preprint server for biology · 2026
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  10. A Community Standard Multispecies Cell Atlas of the Basal Ganglia.bioRxiv : the preprint server for biology · 2026
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  15. The representation of object concepts across the brain.bioRxiv : the preprint server for biology · 2025
    Article
  16. Cellular basis for cortical network aging in primates.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Shared and Unique Neural Codes for Biological Motion Perception in Humans and Macaque Monkeys.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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

7 authors at 6 institutions in 1 country.

Kadharbatcha S SaleemCenter for Neuroscience and Regenerative Medicine (CNRM), Henry M. Jackson Foundation (HJF) for the Advancement of Military Medicine, 6720A Rockledge Drive, Bethesda, MD 20817, United States; Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892, United States. Electronic address: kadharbatcha.saleem.ctr@usuhs.edu.
Alexandru V AvramCenter for Neuroscience and Regenerative Medicine (CNRM), Henry M. Jackson Foundation (HJF) for the Advancement of Military Medicine, 6720A Rockledge Drive, Bethesda, MD 20817, United States; Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892, United States.
Daniel GlenScientific and Statistical Computing Core, National Institute of Mental Health (NIMH), United States.
Cecil Chern-Chyi YenNational Institute of Neurological Disorders and Stroke (NINDS), United States.
Frank Q YeNeurophysiology Imaging Facility, NIMH and NINDS, NIH, , United States.
Michal KomloshCenter for Neuroscience and Regenerative Medicine (CNRM), Henry M. Jackson Foundation (HJF) for the Advancement of Military Medicine, 6720A Rockledge Drive, Bethesda, MD 20817, United States; Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892, United States.
Peter J BasserCenter for Neuroscience and Regenerative Medicine (CNRM), Henry M. Jackson Foundation (HJF) for the Advancement of Military Medicine, 6720A Rockledge Drive, Bethesda, MD 20817, United States; Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892, United States.
Eunice Kennedy Shriver National Institute of Child Health and Human Development · USCenter for Neuroscience and Regenerative Medicine · USHenry M. Jackson Foundation · USNational Institute of Mental Health · USNational Institute of Neurological Disorders and Stroke · USNational Institutes of Health · US

Funding

CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
Intramural NIH HHS Z99 HD999999NIBIB NIH HHS U01 EB026996
6 · The paper itself

Abstract

Subcortical nuclei and other deep brain structures are known to play an important role in the regulation of the central and peripheral nervous systems. It can be difficult to identify and delineate many of these nuclei and their finer subdivisions in conventional MRI due to their small size, buried location, and often subtle contrast compared to neighboring tissue. To address this problem, we applied a multi-modal approach in ex vivo non-human primate (NHP) brain that includes high-resolution mean apparent propagator (MAP)-MRI and five different histological stains imaged with high-resolution microscopy in the brain of the same subject. By registering these high-dimensional MRI data to high-resolution histology data, we can map the location, boundaries, subdivisions, and micro-architectural features of subcortical gray matter regions in the macaque monkey brain. At high spatial resolution, diffusion MRI in general, and MAP-MRI in particular, can distinguish a large number of deep brain structures, including the larger and smaller white matter fiber tracts as well as architectonic features within various nuclei. Correlation with histology from the same brain enables a thorough validation of the structures identified with MAP-MRI. Moreover, anatomical details that are evident in images of MAP-MRI parameters are not visible in conventional T

Indexed as

AmygdalaAnimalsAtlases as TopicBasal GangliaBrain StemDiffusion Tensor ImagingHistological TechniquesHypothalamusMacaca mulattaMagnetic Resonance ImagingMaleThalamus3D digital atlasand macaque monkeyD99/SC21DTIFiber tractsHistologyMAP-MRINucleiSubcortical

Identifiers

PMID34838750
PMCPMC8815330
OpenAlexW3217235049

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.