Cargando…
Gray Matter Axonal Connectivity Maps
Structural brain connectivity is generally assessed through methods that rely on pre-defined regions of interest (e.g., Brodmann’s areas), thus preventing analyses that are largely free from a priori anatomical assumptions. Here, we introduce a novel and practical technique to evaluate a voxel-based...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4351616/ https://www.ncbi.nlm.nih.gov/pubmed/25798111 http://dx.doi.org/10.3389/fpsyt.2015.00035 |
_version_ | 1782360349037559808 |
---|---|
author | Bonilha, Leonardo Gleichgerrcht, Ezequiel Nesland, Travis Rorden, Chris Fridriksson, Julius |
author_facet | Bonilha, Leonardo Gleichgerrcht, Ezequiel Nesland, Travis Rorden, Chris Fridriksson, Julius |
author_sort | Bonilha, Leonardo |
collection | PubMed |
description | Structural brain connectivity is generally assessed through methods that rely on pre-defined regions of interest (e.g., Brodmann’s areas), thus preventing analyses that are largely free from a priori anatomical assumptions. Here, we introduce a novel and practical technique to evaluate a voxel-based measure of axonal projections connecting gray matter tissue [gray matter axonal connectivity map (GMAC)]. GMACs are compatible with voxel-based statistical approaches, and can be used to assess whole brain, scale-free, gray matter connectivity. In this study, we demonstrate how whole-brain GMACs can be generated from conventional structural connectome methodology, describing each step in detail, as well as providing tools to allow for the calculation of GMAC. To illustrate the utility of GMAC, we demonstrate the relationship between age and gray matter connectivity, using voxel-based analyses of GMAC. We discuss the potential role of GMAC in further analyses of cortical connectivity in healthy and clinical populations. |
format | Online Article Text |
id | pubmed-4351616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43516162015-03-20 Gray Matter Axonal Connectivity Maps Bonilha, Leonardo Gleichgerrcht, Ezequiel Nesland, Travis Rorden, Chris Fridriksson, Julius Front Psychiatry Psychiatry Structural brain connectivity is generally assessed through methods that rely on pre-defined regions of interest (e.g., Brodmann’s areas), thus preventing analyses that are largely free from a priori anatomical assumptions. Here, we introduce a novel and practical technique to evaluate a voxel-based measure of axonal projections connecting gray matter tissue [gray matter axonal connectivity map (GMAC)]. GMACs are compatible with voxel-based statistical approaches, and can be used to assess whole brain, scale-free, gray matter connectivity. In this study, we demonstrate how whole-brain GMACs can be generated from conventional structural connectome methodology, describing each step in detail, as well as providing tools to allow for the calculation of GMAC. To illustrate the utility of GMAC, we demonstrate the relationship between age and gray matter connectivity, using voxel-based analyses of GMAC. We discuss the potential role of GMAC in further analyses of cortical connectivity in healthy and clinical populations. Frontiers Media S.A. 2015-03-06 /pmc/articles/PMC4351616/ /pubmed/25798111 http://dx.doi.org/10.3389/fpsyt.2015.00035 Text en Copyright © 2015 Bonilha, Gleichgerrcht, Nesland, Rorden and Fridriksson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Bonilha, Leonardo Gleichgerrcht, Ezequiel Nesland, Travis Rorden, Chris Fridriksson, Julius Gray Matter Axonal Connectivity Maps |
title | Gray Matter Axonal Connectivity Maps |
title_full | Gray Matter Axonal Connectivity Maps |
title_fullStr | Gray Matter Axonal Connectivity Maps |
title_full_unstemmed | Gray Matter Axonal Connectivity Maps |
title_short | Gray Matter Axonal Connectivity Maps |
title_sort | gray matter axonal connectivity maps |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4351616/ https://www.ncbi.nlm.nih.gov/pubmed/25798111 http://dx.doi.org/10.3389/fpsyt.2015.00035 |
work_keys_str_mv | AT bonilhaleonardo graymatteraxonalconnectivitymaps AT gleichgerrchtezequiel graymatteraxonalconnectivitymaps AT neslandtravis graymatteraxonalconnectivitymaps AT rordenchris graymatteraxonalconnectivitymaps AT fridrikssonjulius graymatteraxonalconnectivitymaps |