Cited by 374Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsNeural and Behavioral Psychology Studies

A convergent functional architecture of the insula emerges across imaging modalities

Open access
Kelly, Clare, Toro, Roberto, Di Martino, Adriana, Cox, Christine L., Bellec, Pierre, Castellanos, F. Xavier, Milham, Michael P.·2012·NeuroImage

Abstract

Empirical evidence increasingly supports the hypothesis that patterns of intrinsic functional connectivity (iFC) are sculpted by a history of evoked coactivation within distinct neuronal networks. This, together with evidence of strong correspondence among the networks defined by iFC and those delineated using a variety of other neuroimaging techniques, suggests a fundamental brain architecture detectable across multiple functional and structural imaging modalities. Here, we leverage this insight to examine the functional organization of the human insula. We parcellated the insula on the basis of three distinct neuroimaging modalities - task-evoked coactivation, intrinsic (i.e., task-independent) functional connectivity, and gray matter structural covariance. Clustering of these three different covariance-based measures revealed a convergent elemental organization of the insula that likely reflects a fundamental brain architecture governing both brain structure and function at multiple spatial scales. While not constrained to be hierarchical, our parcellation revealed a pseudo-hierarchical, multiscale organization that was consistent with previous clustering and meta-analytic studies of the insula. Finally, meta-analytic examination of the cognitive and behavioral domains associated with each of the insular clusters obtained elucidated the broad functional dissociations likely underlying the topography observed. To facilitate future investigations of insula function across healthy and pathological states, the insular parcels have been made freely available for download via http://fcon_1000.projects.nitrc.org, along with the analytic scripts used to perform the parcellations.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2012.03.021

Cites

96 of 96 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 97 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. Strehl A Ghosh J Cluster ensembles - A knowledge reuse framework for combining multiple partitions Journal of Machine Learning Research 2002 3 583 617

Cited by

Sorted by citations

Authors
Kelly, C., Toro, R., Di Martino, A., Cox, C. L., Bellec, P., Castellanos, F. X., & Milham, M. P.
Affiliations
  • NYU Langone Health (US)
  • Centre National de la Recherche Scientifique (FR)
  • Institut Universitaire de Gériatrie de Montréal (CA)
  • Nathan Kline Institute for Psychiatric Research (US)
Corresponding author
  • Kelly, Clare
  • Milham, Michael P.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2012-07
Volume
61
Issue
4
Pages
1129-1142
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2066720008
Cited by
374
References
97
Citations by year
2026: 15 · 2025: 14 · 2024: 15 · 2023: 23 · 2022: 20 · 2021: 25 · 2020: 34 · 2019: 25 · 2018: 29 · 2017: 38 · 2016: 36 · 2015: 31 · 2014: 36 · 2013: 26 · 2012: 6
FWCI
16.20
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • HAL (submittedVersion)
Funders
  • National Institute on Drug Abuse (R03DA024775, 2T32DA007254-16A2, R01DA016979)
  • National Institute of Mental Health (R01MH083246, R01MH081218, K23MH087770)
  • National Institute of Child Health and Human Development (R01HD065282)
  • Leon Levy Foundation
  • Autism Speaks
  • Stavros Niarchos Foundation
  • Alicia Koplowitz Foundation
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
insula, functional parcellation, intrinsic functional connectivity
MeSH terms
Cerebral Cortex, Humans, Image Interpretation, Computer-Assisted, Neural Pathways, Cluster Analysis, Neuroimaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review