11
IRUS Total
Downloads
  Altmetric

A complex systems perspective on neuroimaging studies of behavior and its disorders

File Description SizeFormat 
1073858421994784.pdfPublished version883.06 kBAdobe PDFView/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 Creative Commons