Evidence map›Paper›PMID 40437164›Full record

ReviewNature2025

The history and future of resting-state functional magnetic resonance imaging.

Bharat B Biswal, Lucina Q Uddin

Abstract readReviewHistorical Article
In one paragraph

Review in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

2 authors.

Bharat B BiswalThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China. bharat.biswal@njit.edu.ORCID 0000-0002-3710-3500
Lucina Q UddinDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA. lucina@ucla.edu.ORCID 0000-0003-2278-8962

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$52.0M
17/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UCLAU01DA050987 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUSAN Y BOOKHEIMER, Mirella Dapretto · 2020 to 2026
$9.0M
Investigating the neurophysiological basis of circuit-specific laminar rs-fMRIRF1NS124778 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BISWAL, BHARAT BHUSAN, BROWN, EMERY N · 2022 to 2022
$2.1M
Functional Connectivity and Baseline Networks of the White Matter Brain: Development and Dissemination of Algorithms and ToolsR01MH131335 · NIMH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2022 to 2025
$2.1M
Functional Networks of White Matter in Alzheimer's Disease and their Associations with Cognitive DeclineR01AG085665 · NIA · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI Bharat Bhusan Biswal · 2024 to 2026
$1.8M
Longitudinal investigation of bilingualism, executive function, and brain organization in autismR01HD116691 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Lucina Qazi Uddin · 2025 to 2026
$1.4M
Exploratory investigation of bilingualism, executive function, and brain organization in children with autismR21HD111805 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI UDDIN, LUCINA QAZI · 2023 to 2023
$432k
NIA NIH HHS R01 AG085665NICHD NIH HHS R01 HD116691NICHD NIH HHS R21 HD111805NIDA NIH HHS U01 DA050987NIDA NIH HHS U24 DA041147NIMH NIH HHS R01 MH131335NINDS NIH HHS RF1 NS124778
6 · The paper itself

Abstract

Since the discovery of resting-state functional connectivity in the human brain, this neuroimaging approach has revolutionized the study of neural architecture. Once considered noise, the functional significance of spontaneous low-frequency fluctuations across large-scale brain networks has now been investigated in more than 25,000 publications. In this Review, we provide a historical overview and thoughts regarding potential future directions for resting-state functional MRI (rsfMRI) research, highlighting the most informative analytic approaches that have been developed to reveal the brain's intrinsic spatiotemporal organization. We review the collaborative efforts that have led to the widespread use of rsfMRI in neuroscience, with an emphasis on methodological innovations that have been made possible by contributions from electrical and biomedical engineering, physics, mathematics and computer science. We focus on key theoretical and methodological advances that will be necessary for further progress in the field, highlighting the need for further integration with new developments in whole-brain computational modelling, more sophisticated approaches to brain-behaviour mapping, greater mechanistic insights from concurrent measurement of neurophysiology, and greater appreciation of the problem of generalization failure in machine learning applications. We propose that rsfMRI has the potential for even greater clinical relevance when it is fully integrated with population neuroscience and global health initiatives in the service of precision psychiatry.

Indexed as

BrainMagnetic Resonance ImagingRestBrain MappingHistory, 20th CenturyHistory, 21st CenturyHumansNeurosciences

Identifiers

PMID40437164
PMCPMC12628496

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.