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May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data
Competing and complementary models of resting-state brain dynamics contribute to our phenomenological and mechanistic understanding of whole-brain coordination and communication, and provide potential evidence for differential brain functioning associated with normal and pathological behaviour. Thes...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240685/ https://www.ncbi.nlm.nih.gov/pubmed/35765805 http://dx.doi.org/10.1098/rsif.2022.0214 |
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author | Hancock, Fran Rosas, Fernando E. Mediano, Pedro A. M. Luppi, Andrea I. Cabral, Joana Dipasquale, Ottavia Turkheimer, Federico E. |
author_facet | Hancock, Fran Rosas, Fernando E. Mediano, Pedro A. M. Luppi, Andrea I. Cabral, Joana Dipasquale, Ottavia Turkheimer, Federico E. |
author_sort | Hancock, Fran |
collection | PubMed |
description | Competing and complementary models of resting-state brain dynamics contribute to our phenomenological and mechanistic understanding of whole-brain coordination and communication, and provide potential evidence for differential brain functioning associated with normal and pathological behaviour. These neuroscientific theories stem from the perspectives of physics, engineering, mathematics and psychology and create a complicated landscape of domain-specific terminology and meaning, which, when used outside of that domain, may lead to incorrect assumptions and conclusions within the neuroscience community. Here, we review and clarify the key concepts of connectivity, computation, criticality and coherence—the 4C's—and outline a potential role for metastability as a common denominator across these propositions. We analyse and synthesize whole-brain neuroimaging research, examined through functional magnetic imaging, to demonstrate that complexity science offers a principled and integrated approach to describe, and potentially understand, macroscale spontaneous brain functioning. |
format | Online Article Text |
id | pubmed-9240685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-92406852022-07-08 May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data Hancock, Fran Rosas, Fernando E. Mediano, Pedro A. M. Luppi, Andrea I. Cabral, Joana Dipasquale, Ottavia Turkheimer, Federico E. J R Soc Interface Review Articles Competing and complementary models of resting-state brain dynamics contribute to our phenomenological and mechanistic understanding of whole-brain coordination and communication, and provide potential evidence for differential brain functioning associated with normal and pathological behaviour. These neuroscientific theories stem from the perspectives of physics, engineering, mathematics and psychology and create a complicated landscape of domain-specific terminology and meaning, which, when used outside of that domain, may lead to incorrect assumptions and conclusions within the neuroscience community. Here, we review and clarify the key concepts of connectivity, computation, criticality and coherence—the 4C's—and outline a potential role for metastability as a common denominator across these propositions. We analyse and synthesize whole-brain neuroimaging research, examined through functional magnetic imaging, to demonstrate that complexity science offers a principled and integrated approach to describe, and potentially understand, macroscale spontaneous brain functioning. The Royal Society 2022-06-29 /pmc/articles/PMC9240685/ /pubmed/35765805 http://dx.doi.org/10.1098/rsif.2022.0214 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Review Articles Hancock, Fran Rosas, Fernando E. Mediano, Pedro A. M. Luppi, Andrea I. Cabral, Joana Dipasquale, Ottavia Turkheimer, Federico E. May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data |
title | May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data |
title_full | May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data |
title_fullStr | May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data |
title_full_unstemmed | May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data |
title_short | May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data |
title_sort | may the 4c's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240685/ https://www.ncbi.nlm.nih.gov/pubmed/35765805 http://dx.doi.org/10.1098/rsif.2022.0214 |
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