Evidence map›Paper›PMID 39199437›Full record

ArticleBrain sciences2024

Resting-State Functional Connectivity Profile of Insular Subregions.

Jimmy Ghaziri, Phillip Fei, Alan Tucholka, Sami Obaid, Olivier Boucher, Isabelle Rouleau, Dang K Nguyen

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Jimmy GhaziriDépartement de Psychologie, Université du Québec à Montréal, Montréal, QC H2X 3P2, Canada.ORCID 0000-0003-3572-1994
Phillip FeiFaculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Chicoutimi, QC J4L 1C9, Canada.
Alan TucholkaBarcelonaBeta Brain Research Center, Pasqual Maragall Foundation, 08005 Barcelona, Spain.
Sami ObaidCentre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada.
Olivier BoucherCentre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada.
Isabelle RouleauDépartement de Psychologie, Université du Québec à Montréal, Montréal, QC H2X 3P2, Canada.
Dang K NguyenCentre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada.ORCID 0000-0003-1550-4423

Funding

CIHR 51118Fondation du CHUM 10.052Natural Sciences and Engineering Research Council of Canada 51045Réseau en Bio-Imagerie du Quebec 4.11
6 · The paper itself

Abstract

The insula is often considered the fifth lobe of the brain and is increasingly recognized as one of the most connected regions in the brain, with widespread connections to cortical and subcortical structures. As a follow-up to our previous tractography work, we investigated the resting-state functional connectivity (rsFC) profiles of insular subregions and assessed their concordance with structural connectivity. We used the CONN toolbox to analyze the rsFC of the same 19 insular regions of interest (ROIs) we used in our prior tractography work and regrouped them into six subregions based on their connectivity pattern similarity. Our analysis of 50 healthy participants confirms the known broad connectivity of the insula and shows novel and specific whole-brain and intra-connectivity patterns of insular subregions. By examining such subregions, our findings provide a more detailed pattern of connectivity than prior studies that may prove useful for comparison between patients.

Indexed as

connectivityfunctionalinsulainsularnetworkresting statersfMRIsalience

Identifiers

PMID39199437
PMCPMC11352390

What OpenQuestion holds

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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.