Evidence map›Paper›PMID 40481361›Full record

ArticleNature methods2025

Benchmarking methods for mapping functional connectivity in the brain.

Zhen-Qi Liu, Andrea I Luppi, Justine Y Hansen, Ye Ella Tian, Andrew Zalesky, B T Thomas Yeo, Ben D Fulcher, Bratislav Misic

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

  1. Review
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  12. Review
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  14. Structure-function coupling in the human brainstem.bioRxiv : the preprint server for biology · 2026
    Article
  15. Normative Modeling of Static and Dynamic Functional Connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  16. Article
  17. Review
  18. Article
  19. Year in review 2025.Nature methods · 2026
    Article
  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

8 authors.

Zhen-Qi LiuMontréal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-0917-7905
Andrea I LuppiMontréal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0002-3461-6431
Justine Y HansenMontréal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-3142-7480
Ye Ella TianMelbourne Neuropsychiatric Centre, The University of Melbourne, Melbourne, Victoria, Australia.
Andrew ZaleskyMelbourne Neuropsychiatric Centre, The University of Melbourne, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0003-2298-9908
B T Thomas YeoYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-0119-3276
Ben D FulcherSchool of Physics, The University of Sydney, Sydney, New South Wales, Australia.
Bratislav MisicMontréal Neurological Institute, McGill University, Montreal, Quebec, Canada. bratislav.misic@mcgill.ca.ORCID http://orcid.org/0000-0003-0307-2862

Funding

Functional genomics of the human connectome in psychiatric illnessR01MH120080 · NIMH · YALE UNIVERSITY · PI AVRAM J HOLMES, Thomas Boon Thye Yeo · 2019 to 2026
$4.8M
A mega-analysis framework for delineating autism neurosubtypesR01MH133334 · NIMH · CHILD MIND INSTITUTE, INC. · PI Adriana Di Martino · 2023 to 2026
$2.9M
NIMH NIH HHS R01 MH120080NIMH NIH HHS R01 MH133334
6 · The paper itself

Abstract

The networked architecture of the brain promotes synchrony among neuronal populations. These communication patterns can be mapped using functional imaging, yielding functional connectivity (FC) networks. While most studies use Pearson's correlations by default, numerous pairwise interaction statistics exist in the scientific literature. How does the organization of the FC matrix vary with the choice of pairwise statistic? Here we use a library of 239 pairwise statistics to benchmark canonical features of FC networks, including hub mapping, weight-distance trade-offs, structure-function coupling, correspondence with other neurophysiological networks, individual fingerprinting and brain-behavior prediction. We find substantial quantitative and qualitative variation across FC methods. Measures such as covariance, precision and distance display multiple desirable properties, including correspondence with structural connectivity and the capacity to differentiate individuals and predict individual differences in behavior. Our report highlights how FC mapping can be optimized by tailoring pairwise statistics to specific neurophysiological mechanisms and research questions.

Indexed as

BenchmarkingBrainBrain MappingConnectomeNerve NetHumansMagnetic Resonance Imaging

Identifiers

PMID40481361
PMCPMC12240839

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.