دورية أكاديمية
The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns.
| العنوان: | The music of the hemispheres: Cortical eigenmodes as a physical basis for large-scale brain activity and connectivity patterns. |
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| المؤلفون: | Müller EJ; School of Physics, The University of Sydney, Sydney, NSW, Australia.; Center for Integrative Brain Function, The University of Sydney, Sydney, NSW, Australia.; Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia., Munn BR; School of Physics, The University of Sydney, Sydney, NSW, Australia.; Center for Integrative Brain Function, The University of Sydney, Sydney, NSW, Australia.; Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia., Aquino KM; School of Physics, The University of Sydney, Sydney, NSW, Australia.; Center for Integrative Brain Function, The University of Sydney, Sydney, NSW, Australia., Shine JM; Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia., Robinson PA; School of Physics, The University of Sydney, Sydney, NSW, Australia.; Center for Integrative Brain Function, The University of Sydney, Sydney, NSW, Australia. |
| المصدر: | Frontiers in human neuroscience [Front Hum Neurosci] 2022 Nov 24; Vol. 16, pp. 1062487. Date of Electronic Publication: 2022 Nov 24 (Print Publication: 2022). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477954 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5161 (Print) Linking ISSN: 16625161 NLM ISO Abbreviation: Front Hum Neurosci Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Lausanne, Switzerland : Frontiers Research Foundation, 2008- |
| مستخلص: | 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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Müller, Munn, Aquino, Shine and Robinson.) |
| References: | Hum Brain Mapp. 1998;6(5-6):368-72. (PMID: 9788074) Trends Cogn Sci. 2005 Oct;9(10):474-80. (PMID: 16150631) Sci Adv. 2021 Jul 21;7(30):. (PMID: 34290088) Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Nov;64(5 Pt 1):051916. (PMID: 11735977) Nat Commun. 2016 Jan 21;7:10340. (PMID: 26792267) J Neurosci Methods. 2016 Jan 30;258:28-45. (PMID: 26523766) Hum Brain Mapp. 2004 Jul;22(3):165-78. (PMID: 15195284) Proc Natl Acad Sci U S A. 2003 Jan 7;100(1):253-8. (PMID: 12506194) Brain Topogr. 1989 Spring;1(3):199-215. (PMID: 2641263) Neuroimage. 2013 Jan 15;65:127-38. (PMID: 23085498) Nat Neurosci. 2019 Feb;22(2):289-296. (PMID: 30664771) Phys Rev E. 2017 Sep;96(3-1):032413. (PMID: 29347046) Proc Natl Acad Sci U S A. 2016 Nov 1;113(44):12574-12579. (PMID: 27791099) Proc Natl Acad Sci U S A. 2005 Jul 5;102(27):9673-8. (PMID: 15976020) Trends Cogn Sci. 2022 Jun;26(6):527-538. (PMID: 35469726) Cereb Cortex. 2018 Sep 1;28(9):3095-3114. (PMID: 28981612) Proc Natl Acad Sci U S A. 2006 Sep 12;103(37):13848-53. (PMID: 16945915) Neuroimage. 2006 Jul 1;31(3):968-80. (PMID: 16530430) Nat Neurosci. 2021 Jun;24(6):765-776. (PMID: 33958801) Cereb Cortex. 2016 Jan;26(1):288-303. (PMID: 25316338) Cereb Cortex. 2004 Jan;14(1):11-22. (PMID: 14654453) Neuroimage. 2016 Nov 15;142:79-98. (PMID: 27157788) Biol Cybern. 2020 Dec;114(6):643-651. (PMID: 33242165) Stereotact Funct Neurosurg. 2007;85(5):195-203. (PMID: 17534132) Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jul;90(1):012707. (PMID: 25122335) Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Apr;63(4 Pt 1):041909. (PMID: 11308879) Phys Rev E. 2020 Dec;102(6-1):062303. (PMID: 33466049) J Neurophysiol. 2011 Sep;106(3):1125-65. (PMID: 21653723) Neuroimage. 2012 Aug 15;62(2):774-81. (PMID: 22248573) |
| فهرسة مساهمة: | Keywords: brain connectivity; brain dynamics; eigenmodes; independent components; principal components; resting state networks |
| تواريخ الأحداث: | Date Created: 20221212 Latest Revision: 20221220 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC9729350 |
| DOI: | 10.3389/fnhum.2022.1062487 |
| PMID: | 36504620 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1662-5161 |
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| DOI: | 10.3389/fnhum.2022.1062487 |