A Complex Systems Perspective on Neuroimaging Studies of Behavior and Its Disorders.
complexity science
emergence
evolution
multi-scale
neuroimaging
self-organization
Journal
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
ISSN: 1089-4098
Titre abrégé: Neuroscientist
Pays: United States
ID NLM: 9504819
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
pubmed:
18
2
2021
medline:
2
8
2022
entrez:
17
2
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33593120
doi: 10.1177/1073858421994784
pmc: PMC9344570
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
382-399Subventions
Organisme : Medical Research Council
ID : MR/K022733/1
Pays : United Kingdom
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