Evidence map›Paper›PMID 33789138›Full record

ArticleNeuroImage2021

A comprehensive macaque fMRI pipeline and hierarchical atlas.

Benjamin Jung, Paul A Taylor, Jakob Seidlitz, Caleb Sponheim, Pierce Perkins, Leslie G Ungerleider, Daniel Glen, Adam Messinger

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 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed
13.7field-weighted citation impact, top 1% 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

117 citing papers in PubMed, 174 citations in OpenAlex.

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  9. Brainana: an end-to-end preprocessing framework for macaque neuroimaging.bioRxiv : the preprint server for biology · 2026
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  14. Trajectories of Response Inhibition Development in Adolescence.bioRxiv : the preprint server for biology · 2026
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57 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

8 authors at 4 institutions in 2 countries.

Benjamin JungLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA; Department of Neuroscience, Brown University, Providence, RI, USA.
Paul A TaylorScientific and Statistical Computing Core, National Institute of Mental Health, Bethesda, MD, USA.
Jakob SeidlitzDepartment of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Caleb SponheimDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, USA.
Pierce PerkinsLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA.
Leslie G UngerleiderLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA.
Daniel GlenScientific and Statistical Computing Core, National Institute of Mental Health, Bethesda, MD, USA. Electronic address: glend@mail.nih.gov.
Adam MessingerLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA. Electronic address: messinga@mail.nih.gov.
National Institute of Mental Health · USBrown University · USChildren's Hospital of Philadelphia · USUniversity of Chicago · US

Funding

Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Neurophysiology Imaging Facility Core: Functional and Structural MRIZICMH002899 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEOPOLD, DAVID A · 2009 to 2025
$29.1M
Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIC MH002888Intramural NIH HHS ZIC MH002899
6 · The paper itself

Abstract

Functional neuroimaging research in the non-human primate (NHP) has been advancing at a remarkable rate. The increase in available data establishes a need for robust analysis pipelines designed for NHP neuroimaging and accompanying template spaces to standardize the localization of neuroimaging results. Our group recently developed the NIMH Macaque Template (NMT), a high-resolution population average anatomical template and associated neuroimaging resources, providing researchers with a standard space for macaque neuroimaging . Here, we release NMT v2, which includes both symmetric and asymmetric templates in stereotaxic orientation, with improvements in spatial contrast, processing efficiency, and segmentation. We also introduce the Cortical Hierarchy Atlas of the Rhesus Macaque (CHARM), a hierarchical parcellation of the macaque cerebral cortex with varying degrees of detail. These tools have been integrated into the neuroimaging analysis software AFNI to provide a comprehensive and robust pipeline for fMRI processing, visualization and analysis of NHP data. AFNI's new @animal_warper program can be used to efficiently align anatomical scans to the NMT v2 space, and afni_proc.py integrates these results with full fMRI processing using macaque-specific parameters: from motion correction through regression modeling. Taken together, the NMT v2 and AFNI represent an all-in-one package for macaque functional neuroimaging analysis, as demonstrated with available demos for both task and resting state fMRI.

Indexed as

Atlases as TopicFunctional NeuroimagingMagnetic Resonance ImagingAnimalsBrainFemaleMacaca mulattaMaleAlignmentfMRI analysisMonkeyNonhuman primateStereotaxicTemplate

Identifiers

PMID33789138
PMCPMC9272767
OpenAlexW3142292409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.