Evidence map›Paper›PMID 37753115›Full record

ArticleCerebral cortex communications2023

Detection and characterization of resting state functional networks in squirrel monkey brain.

Anirban Sengupta, Feng Wang, Arabinda Mishra, Jamie L Reed, Li Min Chen, John C Gore

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

6 authors at 2 institutions in 1 country.

Anirban SenguptaVanderbilt University Institute of Imaging Science, Nashville, Vanderbilt University Medical Center, Nashville, TN, United States of America.ORCID https://orcid.org/0000-0001-9872-0513
Feng WangVanderbilt University Institute of Imaging Science, Nashville, Vanderbilt University Medical Center, Nashville, TN, United States of America.ORCID https://orcid.org/0000-0002-8965-7708
Arabinda MishraVanderbilt University Institute of Imaging Science, Nashville, Vanderbilt University Medical Center, Nashville, TN, United States of America.ORCID https://orcid.org/0000-0003-1564-5373
Jamie L ReedVanderbilt University Institute of Imaging Science, Nashville, Vanderbilt University Medical Center, Nashville, TN, United States of America.ORCID https://orcid.org/0000-0002-0273-1689
Li Min ChenVanderbilt University Institute of Imaging Science, Nashville, Vanderbilt University Medical Center, Nashville, TN, United States of America.ORCID https://orcid.org/0000-0001-9662-1925
John C GoreVanderbilt University Institute of Imaging Science, Nashville, Vanderbilt University Medical Center, Nashville, TN, United States of America.ORCID https://orcid.org/0000-0002-9480-0900
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Biophysical Basis of Functional Connectivity by MRIR01NS078680 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Li Min Chen, John C Gore · 2012 to 2026
$7.6M
Upgrade of a 9.4T MRI Animal ScannerS10OD025085 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2020 to 2020
$600k
BIOPHYSICAL BASIS OF FUNCTIONAL BRAIN FMRIR01EB002326 · NIBIB · VANDERBILT UNIVERSITY · PI GORE, JOHN C · 2003 to 2003
$454k
NIBIB NIH HHS R01 EB002326NICHD NIH HHS P50 HD103537NIH HHS S10 OD025085NINDS NIH HHS R01 NS078680
6 · The paper itself

Abstract

Resting-state fMRI based on analyzing BOLD signals is widely used to derive functional networks in the brain and how they alter during disease or injury conditions. Resting-state networks can also be used to study brain functional connectomes across species, which provides insights into brain evolution. The squirrel monkey (SM) is a non-human primate (NHP) that is widely used as a preclinical model for experimental manipulations to understand the organization and functioning of the brain. We derived resting-state networks from the whole brain of anesthetized SMs using Independent Component Analysis of BOLD acquisitions. We detected 15 anatomically constrained resting-state networks localized in the cortical and subcortical regions as well as in the white-matter. Networks encompassing visual, somatosensory, executive control, sensorimotor, salience and default mode regions, and subcortical networks including the Hippocampus-Amygdala, thalamus, basal-ganglia and brainstem region correspond well with previously detected networks in humans and NHPs. The connectivity pattern between the networks also agrees well with previously reported seed-based resting-state connectivity of SM brain. This study demonstrates that SMs share remarkable homologous network organization with humans and other NHPs, thereby providing strong support for their suitability as a translational animal model for research and additional insight into brain evolution across species.

Indexed as

BOLD fMRIbrainindependent component analysisresting state networkssquirrel monkey

Identifiers

PMID37753115
PMCPMC10518810
OpenAlexW4386392816

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.