Evidence map›Paper›PMID 35350561›Full record

ReviewFrontiers in neuroscience2022

Functional Connectivity of the Brain Across Rodents and Humans.

Nan Xu, Theodore J LaGrow, Nmachi Anumba, Azalea Lee, Xiaodi Zhang, Behnaz Yousefi, Yasmine Bassil, Gloria P Clavijo, Vahid Khalilzad Sharghi, Eric Maltbie and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
–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

66 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Hindlimb Representation in the Spiny Mouse Sensorimotor Cortex.The Journal of comparative neurology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Correspondence of large-scale functional brain network decline across aging mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Biphasic acclimation for simultaneous wide-field fluorescent CaImaging neuroscience (Cambridge, Mass.) · 2026
    Article

6 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

14 authors.

Nan XuBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Theodore J LaGrowElectrical and Computer Engineering, Georgia Tech, Atlanta, GA, United States.
Nmachi AnumbaBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Azalea LeeNeuroscience Graduate Program, Emory University, Atlanta, GA, United States.
Xiaodi ZhangBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Behnaz YousefiBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Yasmine BassilNeuroscience Graduate Program, Emory University, Atlanta, GA, United States.
Gloria P ClavijoBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Vahid Khalilzad SharghiBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Eric MaltbieBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Lisa Meyer-BaeseBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Maysam NezafatiBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Wen-Ju PanBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.
Shella KeilholzBiomedical Engineering, Emory University and Georgia Tech, Atlanta, GA, United States.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008169 · NIGMS · EMORY UNIVERSITY · PI GROSS, ROBERT E · 1987 to 2021
$20.3M
Contribution of Ultra Low Frequency LFPs to Functional MRIR01NS078095 · NINDS · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D · 2012 to 2022
$3.4M
Training in Computational Neural EngineeringT32EB025816 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI Michael Robert Borich, Christopher John Rozell · 2019 to 2026
$1.9M
Spatiotemporal signatures of neural activity and neurophysiology in the BOLD signalR01MH111416 · NIMH · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D · 2016 to 2020
$1.9M
Crossing space and time: uncovering the nonlinear dynamics of multimodal and multiscale brain activityR01EB029857 · NIBIB · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D, STANLEY, GARRETT B. · 2020 to 2021
$1.3M
NIBIB NIH HHS R01 EB029857NIBIB NIH HHS T32 EB025816NIGMS NIH HHS T32 GM008169NIMH NIH HHS R01 MH111416NINDS NIH HHS R01 NS078095
6 · The paper itself

Abstract

Resting-state functional magnetic resonance imaging (rs-fMRI), which measures the spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal, is increasingly utilized for the investigation of the brain's physiological and pathological functional activity. Rodents, as a typical animal model in neuroscience, play an important role in the studies that examine the neuronal processes that underpin the spontaneous fluctuations in the BOLD signal and the functional connectivity that results. Translating this knowledge from rodents to humans requires a basic knowledge of the similarities and differences across species in terms of both the BOLD signal fluctuations and the resulting functional connectivity. This review begins by examining similarities and differences in anatomical features, acquisition parameters, and preprocessing techniques, as factors that contribute to functional connectivity. Homologous functional networks are compared across species, and aspects of the BOLD fluctuations such as the topography of the global signal and the relationship between structural and functional connectivity are examined. Time-varying features of functional connectivity, obtained by sliding windowed approaches, quasi-periodic patterns, and coactivation patterns, are compared across species. Applications demonstrating the use of rs-fMRI as a translational tool for cross-species analysis are discussed, with an emphasis on neurological and psychiatric disorders. Finally, open questions are presented to encapsulate the future direction of the field.

Indexed as

functional connectivityhumansmiceneurological disorderspsychiatric disordersratsrodentstranslational studies

Identifiers

PMID35350561
PMCPMC8957796

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.