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The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns
Neuroscience has had access to high-resolution recordings of large-scale cortical activity and structure for decades, but still lacks a generally adopted basis to analyze and interrelate results from different individuals and experiments. Here it is argued that the natural oscillatory modes of the c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729350/ https://www.ncbi.nlm.nih.gov/pubmed/36504620 http://dx.doi.org/10.3389/fnhum.2022.1062487 |
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author | Müller, Eli J. Munn, Brandon R. Aquino, Kevin M. Shine, James M. Robinson, Peter A. |
author_facet | Müller, Eli J. Munn, Brandon R. Aquino, Kevin M. Shine, James M. Robinson, Peter A. |
author_sort | Müller, Eli J. |
collection | PubMed |
description | Neuroscience has had access to high-resolution recordings of large-scale cortical activity and structure for decades, but still lacks a generally adopted basis to analyze and interrelate results from different individuals and experiments. Here it is argued that the natural oscillatory modes of the cortex—cortical eigenmodes—provide a physically preferred framework for systematic comparisons across experimental conditions and imaging modalities. In this framework, eigenmodes are analogous to notes of a musical instrument, while commonly used statistical patterns parallel frequently played chords. This intuitive perspective avoids problems that often arise in neuroimaging analyses, and connects to underlying mechanisms of brain activity. We envisage this approach will lead to novel insights into whole-brain function, both in existing and prospective datasets, and facilitate a unification of empirical findings across presently disparate analysis paradigms and measurement modalities. |
format | Online Article Text |
id | pubmed-9729350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97293502022-12-09 The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns Müller, Eli J. Munn, Brandon R. Aquino, Kevin M. Shine, James M. Robinson, Peter A. Front Hum Neurosci Human Neuroscience Neuroscience has had access to high-resolution recordings of large-scale cortical activity and structure for decades, but still lacks a generally adopted basis to analyze and interrelate results from different individuals and experiments. Here it is argued that the natural oscillatory modes of the cortex—cortical eigenmodes—provide a physically preferred framework for systematic comparisons across experimental conditions and imaging modalities. In this framework, eigenmodes are analogous to notes of a musical instrument, while commonly used statistical patterns parallel frequently played chords. This intuitive perspective avoids problems that often arise in neuroimaging analyses, and connects to underlying mechanisms of brain activity. We envisage this approach will lead to novel insights into whole-brain function, both in existing and prospective datasets, and facilitate a unification of empirical findings across presently disparate analysis paradigms and measurement modalities. Frontiers Media S.A. 2022-11-24 /pmc/articles/PMC9729350/ /pubmed/36504620 http://dx.doi.org/10.3389/fnhum.2022.1062487 Text en Copyright © 2022 Müller, Munn, Aquino, Shine and Robinson. https://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) and the copyright owner(s) 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 | Human Neuroscience Müller, Eli J. Munn, Brandon R. Aquino, Kevin M. Shine, James M. Robinson, Peter A. The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns |
title | The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns |
title_full | The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns |
title_fullStr | The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns |
title_full_unstemmed | The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns |
title_short | The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns |
title_sort | music of the hemispheres: cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729350/ https://www.ncbi.nlm.nih.gov/pubmed/36504620 http://dx.doi.org/10.3389/fnhum.2022.1062487 |
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