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Three Systems of Insular Functional Connectivity Identified with Cluster Analysis
Despite much research on the function of the insular cortex, few studies have investigated functional subdivisions of the insula in humans. The present study used resting-state functional connectivity magnetic resonance imaging (MRI) to parcellate the human insular lobe based on clustering of functi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116731/ https://www.ncbi.nlm.nih.gov/pubmed/21097516 http://dx.doi.org/10.1093/cercor/bhq186 |
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author | Deen, Ben Pitskel, Naomi B. Pelphrey, Kevin A. |
author_facet | Deen, Ben Pitskel, Naomi B. Pelphrey, Kevin A. |
author_sort | Deen, Ben |
collection | PubMed |
description | Despite much research on the function of the insular cortex, few studies have investigated functional subdivisions of the insula in humans. The present study used resting-state functional connectivity magnetic resonance imaging (MRI) to parcellate the human insular lobe based on clustering of functional connectivity patterns. Connectivity maps were computed for each voxel in the insula based on resting-state functional MRI (fMRI) data and segregated using cluster analysis. We identified 3 insular subregions with distinct patterns of connectivity: a posterior region, functionally connected with primary and secondary somatomotor cortices; a dorsal anterior to middle region, connected with dorsal anterior cingulate cortex, along with other regions of a previously described control network; and a ventral anterior region, primarily connected with pregenual anterior cingulate cortex. Applying these regions to a separate task data set, we found that dorsal and ventral anterior insula responded selectively to disgusting images, while posterior insula did not. These results demonstrate that clustering of connectivity patterns can be used to subdivide cerebral cortex into anatomically and functionally meaningful subregions; the insular regions identified here should be useful in future investigations on the function of the insula. |
format | Online Article Text |
id | pubmed-3116731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31167312011-06-17 Three Systems of Insular Functional Connectivity Identified with Cluster Analysis Deen, Ben Pitskel, Naomi B. Pelphrey, Kevin A. Cereb Cortex Articles Despite much research on the function of the insular cortex, few studies have investigated functional subdivisions of the insula in humans. The present study used resting-state functional connectivity magnetic resonance imaging (MRI) to parcellate the human insular lobe based on clustering of functional connectivity patterns. Connectivity maps were computed for each voxel in the insula based on resting-state functional MRI (fMRI) data and segregated using cluster analysis. We identified 3 insular subregions with distinct patterns of connectivity: a posterior region, functionally connected with primary and secondary somatomotor cortices; a dorsal anterior to middle region, connected with dorsal anterior cingulate cortex, along with other regions of a previously described control network; and a ventral anterior region, primarily connected with pregenual anterior cingulate cortex. Applying these regions to a separate task data set, we found that dorsal and ventral anterior insula responded selectively to disgusting images, while posterior insula did not. These results demonstrate that clustering of connectivity patterns can be used to subdivide cerebral cortex into anatomically and functionally meaningful subregions; the insular regions identified here should be useful in future investigations on the function of the insula. Oxford University Press 2011-07 2010-11-19 /pmc/articles/PMC3116731/ /pubmed/21097516 http://dx.doi.org/10.1093/cercor/bhq186 Text en © The Authors 2010. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Deen, Ben Pitskel, Naomi B. Pelphrey, Kevin A. Three Systems of Insular Functional Connectivity Identified with Cluster Analysis |
title | Three Systems of Insular Functional Connectivity Identified with Cluster Analysis |
title_full | Three Systems of Insular Functional Connectivity Identified with Cluster Analysis |
title_fullStr | Three Systems of Insular Functional Connectivity Identified with Cluster Analysis |
title_full_unstemmed | Three Systems of Insular Functional Connectivity Identified with Cluster Analysis |
title_short | Three Systems of Insular Functional Connectivity Identified with Cluster Analysis |
title_sort | three systems of insular functional connectivity identified with cluster analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116731/ https://www.ncbi.nlm.nih.gov/pubmed/21097516 http://dx.doi.org/10.1093/cercor/bhq186 |
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