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A new model for freedom of movement using connectomic analysis

The problem of whether we can execute free acts or not is central in philosophical thought, and it has been studied by numerous scholars throughout the centuries. Recently, neurosciences have entered this topic contributing new data and insights into the neuroanatomical basis of cognitive processes....

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Autores principales: Rodríguez-Méndez, Diego Alonzo, San-Juan, Daniel, Hallett, Mark, Antonopoulos, Chris G., López-Reynoso, Erick, Lara-Ramírez, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375968/
https://www.ncbi.nlm.nih.gov/pubmed/35975236
http://dx.doi.org/10.7717/peerj.13602
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author Rodríguez-Méndez, Diego Alonzo
San-Juan, Daniel
Hallett, Mark
Antonopoulos, Chris G.
López-Reynoso, Erick
Lara-Ramírez, Ricardo
author_facet Rodríguez-Méndez, Diego Alonzo
San-Juan, Daniel
Hallett, Mark
Antonopoulos, Chris G.
López-Reynoso, Erick
Lara-Ramírez, Ricardo
author_sort Rodríguez-Méndez, Diego Alonzo
collection PubMed
description The problem of whether we can execute free acts or not is central in philosophical thought, and it has been studied by numerous scholars throughout the centuries. Recently, neurosciences have entered this topic contributing new data and insights into the neuroanatomical basis of cognitive processes. With the advent of connectomics, a more refined landscape of brain connectivity can be analysed at an unprecedented level of detail. Here, we identify the connectivity network involved in the movement process from a connectomics point of view, from its motivation through its execution until the sense of agency develops. We constructed a “volitional network” using data derived from the Brainnetome Atlas database considering areas involved in volitional processes as known in the literature. We divided this process into eight processes and used Graph Theory to measure several structural properties of the network. Our results show that the volitional network is small-world and that it contains four communities. Nodes of the right hemisphere are contained in three of these communities whereas nodes of the left hemisphere only in two. Centrality measures indicate the nucleus accumbens is one of the most connected nodes in the network. Extensive connectivity is observed in all processes except in Decision (to move) and modulation of Agency, which might correlate with a mismatch mechanism for perception of Agency.
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spelling pubmed-93759682022-08-15 A new model for freedom of movement using connectomic analysis Rodríguez-Méndez, Diego Alonzo San-Juan, Daniel Hallett, Mark Antonopoulos, Chris G. López-Reynoso, Erick Lara-Ramírez, Ricardo PeerJ Neuroscience The problem of whether we can execute free acts or not is central in philosophical thought, and it has been studied by numerous scholars throughout the centuries. Recently, neurosciences have entered this topic contributing new data and insights into the neuroanatomical basis of cognitive processes. With the advent of connectomics, a more refined landscape of brain connectivity can be analysed at an unprecedented level of detail. Here, we identify the connectivity network involved in the movement process from a connectomics point of view, from its motivation through its execution until the sense of agency develops. We constructed a “volitional network” using data derived from the Brainnetome Atlas database considering areas involved in volitional processes as known in the literature. We divided this process into eight processes and used Graph Theory to measure several structural properties of the network. Our results show that the volitional network is small-world and that it contains four communities. Nodes of the right hemisphere are contained in three of these communities whereas nodes of the left hemisphere only in two. Centrality measures indicate the nucleus accumbens is one of the most connected nodes in the network. Extensive connectivity is observed in all processes except in Decision (to move) and modulation of Agency, which might correlate with a mismatch mechanism for perception of Agency. PeerJ Inc. 2022-08-11 /pmc/articles/PMC9375968/ /pubmed/35975236 http://dx.doi.org/10.7717/peerj.13602 Text en ©2022 Rodríguez-Méndez et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Neuroscience
Rodríguez-Méndez, Diego Alonzo
San-Juan, Daniel
Hallett, Mark
Antonopoulos, Chris G.
López-Reynoso, Erick
Lara-Ramírez, Ricardo
A new model for freedom of movement using connectomic analysis
title A new model for freedom of movement using connectomic analysis
title_full A new model for freedom of movement using connectomic analysis
title_fullStr A new model for freedom of movement using connectomic analysis
title_full_unstemmed A new model for freedom of movement using connectomic analysis
title_short A new model for freedom of movement using connectomic analysis
title_sort new model for freedom of movement using connectomic analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375968/
https://www.ncbi.nlm.nih.gov/pubmed/35975236
http://dx.doi.org/10.7717/peerj.13602
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