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A complex systems perspective on neuroimaging studies of behavior and its disorders
File | Description | Size | Format | |
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1073858421994784.pdf | Published version | 883.06 kB | Adobe PDF | View/Open |
Title: | A complex systems perspective on neuroimaging studies of behavior and its disorders |
Authors: | Turkheimer, FE Rosas, FE Dipasquale, O Martins, D Fagerholm, ED Expert, P Vasa, F Lord, L-D Leech, R |
Item Type: | Journal Article |
Abstract: | The study of complex systems deals with emergent behavior that arises as a result of nonlinear spatiotemporal interactions between a large number of components both within the system, as well as between the system and its environment. There is a strong case to be made that neural systems as well as their emergent behavior and disorders can be studied within the framework of complexity science. In particular, the field of neuroimaging has begun to apply both theoretical and experimental procedures originating in complexity science—usually in parallel with traditional methodologies. Here, we illustrate the basic properties that characterize complex systems and evaluate how they relate to what we have learned about brain structure and function from neuroimaging experiments. We then argue in favor of adopting a complex systems-based methodology in the study of neuroimaging, alongside appropriate experimental paradigms, and with minimal influences from noncomplex system approaches. Our exposition includes a review of the fundamental mathematical concepts, combined with practical examples and a compilation of results from the literature. |
Issue Date: | 16-Feb-2021 |
Date of Acceptance: | 1-Feb-2021 |
URI: | http://hdl.handle.net/10044/1/87168 |
DOI: | 10.1177/1073858421994784 |
ISSN: | 1073-8584 |
Publisher: | SAGE Publications |
Start Page: | 382 |
End Page: | 399 |
Journal / Book Title: | The Neuroscientist: reviews at the interface of basic and clinical neurosciences |
Volume: | 28 |
Issue: | 4 |
Copyright Statement: | © The Author(s) 2021. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Keywords: | Science & Technology Life Sciences & Biomedicine Clinical Neurology Neurosciences Neurosciences & Neurology neuroimaging complexity science emergence multi-scale self-organization evolution FUNCTIONAL CONNECTIVITY BRAIN NETWORKS WHOLE-BRAIN FMRI DATA INFORMATION EMERGENCE CRITICALITY ORGANIZATION SPECIFICITY VARIANCE complexity science emergence evolution multi-scale neuroimaging self-organization Brain Humans Neuroimaging Brain Humans Neuroimaging Science & Technology Life Sciences & Biomedicine Clinical Neurology Neurosciences Neurosciences & Neurology neuroimaging complexity science emergence multi-scale self-organization evolution Neurology & Neurosurgery 11 Medical and Health Sciences 17 Psychology and Cognitive Sciences |
Publication Status: | Published |
Open Access location: | https://journals.sagepub.com/doi/10.1177/1073858421994784 |
Article Number: | ARTN 1073858421994784 |
Online Publication Date: | 2021-02-16 |
Appears in Collections: | Faculty of Medicine School of Public Health Department of Brain Sciences |
This item is licensed under a Creative Commons License