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Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions

Examination of large-scale distributed networks within the individual reveals details of cortical network organization that are absent in group-averaged studies. One recent discovery is that a distributed transmodal network, often referred to as the “default network,” comprises two closely interdigi...

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Autores principales: Braga, Rodrigo M., Van Dijk, Koene R. A., Polimeni, Jonathan R., Eldaief, Mark C., Buckner, Randy L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Physiological Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485740/
https://www.ncbi.nlm.nih.gov/pubmed/30785825
http://dx.doi.org/10.1152/jn.00808.2018
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author Braga, Rodrigo M.
Van Dijk, Koene R. A.
Polimeni, Jonathan R.
Eldaief, Mark C.
Buckner, Randy L.
author_facet Braga, Rodrigo M.
Van Dijk, Koene R. A.
Polimeni, Jonathan R.
Eldaief, Mark C.
Buckner, Randy L.
author_sort Braga, Rodrigo M.
collection PubMed
description Examination of large-scale distributed networks within the individual reveals details of cortical network organization that are absent in group-averaged studies. One recent discovery is that a distributed transmodal network, often referred to as the “default network,” comprises two closely interdigitated networks, only one of which is coupled to posterior parahippocampal cortex. Not all studies of individuals have identified the same networks, and questions remain about the degree to which the two networks are separate, particularly within regions hypothesized to be interconnected hubs. In this study we replicate the observation of network separation across analytical (seed-based connectivity and parcellation) and data projection (volume and surface) methods in two individuals each scanned 31 times. Additionally, three individuals were examined with high-resolution (7T; 1.35 mm) functional magnetic resonance imaging to gain further insight into the anatomical details. The two networks were identified with separate regions localized to adjacent portions of the cortical ribbon, sometimes inside the same sulcus. Midline regions previously implicated as hubs revealed near complete spatial separation of the two networks, displaying a complex spatial topography in the posterior cingulate and precuneus. The network coupled to parahippocampal cortex also revealed a separate region directly within the hippocampus, at or near the subiculum. These collective results support that the default network is composed of at least two spatially juxtaposed networks. Fine spatial details and juxtapositions of the two networks can be identified within individuals at high resolution, providing insight into the network organization of association cortex and placing further constraints on interpretation of group-averaged neuroimaging data. NEW & NOTEWORTHY Recent evidence has emerged that canonical large-scale networks such as the “default network” fractionate into parallel distributed networks when defined within individuals. This research uses high-resolution imaging to show that the networks possess juxtapositions sometimes evident inside the same sulcus and within regions that have been previously hypothesized to be network hubs. Distinct circumscribed regions of one network were also resolved in the hippocampal formation, at or near the parahippocampal cortex and subiculum.
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spelling pubmed-64857402019-04-30 Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions Braga, Rodrigo M. Van Dijk, Koene R. A. Polimeni, Jonathan R. Eldaief, Mark C. Buckner, Randy L. J Neurophysiol Research Article Examination of large-scale distributed networks within the individual reveals details of cortical network organization that are absent in group-averaged studies. One recent discovery is that a distributed transmodal network, often referred to as the “default network,” comprises two closely interdigitated networks, only one of which is coupled to posterior parahippocampal cortex. Not all studies of individuals have identified the same networks, and questions remain about the degree to which the two networks are separate, particularly within regions hypothesized to be interconnected hubs. In this study we replicate the observation of network separation across analytical (seed-based connectivity and parcellation) and data projection (volume and surface) methods in two individuals each scanned 31 times. Additionally, three individuals were examined with high-resolution (7T; 1.35 mm) functional magnetic resonance imaging to gain further insight into the anatomical details. The two networks were identified with separate regions localized to adjacent portions of the cortical ribbon, sometimes inside the same sulcus. Midline regions previously implicated as hubs revealed near complete spatial separation of the two networks, displaying a complex spatial topography in the posterior cingulate and precuneus. The network coupled to parahippocampal cortex also revealed a separate region directly within the hippocampus, at or near the subiculum. These collective results support that the default network is composed of at least two spatially juxtaposed networks. Fine spatial details and juxtapositions of the two networks can be identified within individuals at high resolution, providing insight into the network organization of association cortex and placing further constraints on interpretation of group-averaged neuroimaging data. NEW & NOTEWORTHY Recent evidence has emerged that canonical large-scale networks such as the “default network” fractionate into parallel distributed networks when defined within individuals. This research uses high-resolution imaging to show that the networks possess juxtapositions sometimes evident inside the same sulcus and within regions that have been previously hypothesized to be network hubs. Distinct circumscribed regions of one network were also resolved in the hippocampal formation, at or near the parahippocampal cortex and subiculum. American Physiological Society 2019-04-01 2019-02-20 /pmc/articles/PMC6485740/ /pubmed/30785825 http://dx.doi.org/10.1152/jn.00808.2018 Text en Copyright © 2019 the American Physiological Society http://creativecommons.org/licenses/by/4.0/deed.en_US Licensed under Creative Commons Attribution CC-BY 4.0 (http://creativecommons.org/licenses/by/4.0/deed.en_US) : © the American Physiological Society.
spellingShingle Research Article
Braga, Rodrigo M.
Van Dijk, Koene R. A.
Polimeni, Jonathan R.
Eldaief, Mark C.
Buckner, Randy L.
Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions
title Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions
title_full Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions
title_fullStr Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions
title_full_unstemmed Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions
title_short Parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions
title_sort parallel distributed networks resolved at high resolution reveal close juxtaposition of distinct regions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485740/
https://www.ncbi.nlm.nih.gov/pubmed/30785825
http://dx.doi.org/10.1152/jn.00808.2018
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