Evidence map›Paper›PMID 42813515›Full record

ArticleHuman brain mapping2026

Static and Dynamic Resting-State fMRI Connectivity Show Frequency-Resolved Associations With Intracranial EEG Connectivity.

Tahereh Rashnavadi, Kristina Sabaroedin, William Wilson, Daniel J Pittman, Paolo Federico, Pierre Levan

Abstract read
In one paragraph

Article in Human brain mapping, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tahereh RashnavadiDepartment of Radiology, University of Calgary, Calgary, Canada.ORCID https://orcid.org/0009-0006-2601-7590
Kristina SabaroedinDepartment of Radiology, University of Calgary, Calgary, Canada.
William WilsonHotchkiss Brain Institute, University of Calgary, Calgary, Canada.
Daniel J PittmanHotchkiss Brain Institute, University of Calgary, Calgary, Canada.
Paolo FedericoDepartment of Radiology, University of Calgary, Calgary, Canada.ORCID https://orcid.org/0000-0002-9555-3569
Pierre LevanDepartment of Radiology, University of Calgary, Calgary, Canada.

Funding

2026 Canadian Neuroanalytics Scholars (CNS) ProgramAlberta Children's Hospital Research InstituteCanadian Institutes of Health Research (CIHR) PJT-183825HBI Inspires Postdoctoral Fellowship in NeuroscienceHotchkiss Brain Institute, University of CalgaryNatural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2021-02797
6 · The paper itself

Abstract

Resting-state functional connectivity (FC) derived from functional MRI (fMRI) is widely used to characterize brain functional organization, yet its electrophysiological basis remains incompletely understood. Here, we investigated how electrophysiological connectivity relates to both static and dynamic fMRI connectivity using simultaneous intracranial EEG (icEEG)-fMRI recordings from 48 adults with focal epilepsy. Linear mixed-effects models were applied to sampled electrode-pair connections to examine frequency-resolved associations between band-limited icEEG connectivity and corresponding fMRI FC within non-epileptogenic brain regions. Time-averaged icEEG connectivity was robustly associated with spatial variation in static fMRI connectivity across sampled connections and frequency bands, with strongest effects in the beta and low-gamma ranges. At the window level, dynamic fMRI connectivity showed significant positive associations with window-specific icEEG FC deviations in the alpha, beta, and low-gamma bands. Exploratory spatial stratification suggested that cross-modal coupling varied across clinically sampled frontal, temporal, and insular region pairs, and the main findings remained robust after motion-control analyses. Together, these findings indicate that resting-state fMRI connectivity is associated with both average electrophysiological coupling across sampled connections and window-level fluctuations in electrophysiological connectivity, with the strongest primary band-wise evidence observed in the alpha, beta, and low-gamma ranges.

Indexed as

BrainBrain WavesConnectomeElectrocorticographyEpilepsies, PartialMagnetic Resonance ImagingNerve NetAdultFemaleHumansMaleMiddle AgedNeural PathwaysRestYoung AdultBOLD fluctuationscross‐modal brain imagingdynamic functional connectivityintracranial EEG‐fMRIneurovascular couplingresting‐state functional connectivitystatic functional connectivity

Identifiers

PMID42813515
PMCPMC13625044

What OpenQuestion holds

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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.