Evidence map›Paper›PMID 28874061›Full record

ReviewBrain connectivity2017

Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions.

Shella Keilholz, Cesar Caballero-Gaudes, Peter Bandettini, Gustavo Deco, Vince Calhoun

Abstract readReview
In one paragraph

Review in Brain connectivity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Post-COVID-19 conditions: a systematic review on advanced magnetic resonance neuroimaging findings.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Pooled it
  2. Pooled it
  3. Awakening: Predicting external stimulation to force transitions between different brain states.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Trial
  4. Article
  5. Article
  6. Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Time-varying functional connectivity as Wishart processes.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article

3 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

5 authors.

Shella Keilholz1 Department of Biomedical Engineering, Emory University/Georgia Institute of Technology , Atlanta, Georgia .
Cesar Caballero-Gaudes2 Basque Center of Cognition , Brain and Language, San Sebastian, Spain .
Peter Bandettini3 Section on Functional Imaging Methods, NIMH, NIH, Bethesda, Maryland.
Gustavo Deco5 Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra , Barcelona, Spain .
Vince Calhoun9 The Mind Research Network, Albuquerque, New Mexico.

Funding

Functional MRI Method DevelopmentZIAMH002783 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER · 2009 to 2025
$38.4M
6 · The paper itself

Abstract

Time-resolved analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data allows researchers to extract more information about brain function than traditional functional connectivity analysis, yet a number of challenges in data analysis and interpretation remain. This article briefly summarizes common methods for time-resolved analysis and presents some of the pressing issues and opportunities in the field. From there, the discussion moves to interpretation of the network dynamics observed with rs-fMRI and the role that rs-fMRI can play in elucidating the large-scale organization of brain activity.

Indexed as

Brain MappingMagnetic Resonance ImagingBrainComputer SimulationHumansModels, NeurologicalNerve Netdynamic analysisdynamic connectivitynetwork dynamicstime-resolved resting-state fMRI

Identifiers

PMID28874061
PMCPMC5653134

What OpenQuestion holds

Textmetadata
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.