Version 1
: Received: 27 August 2020 / Approved: 30 August 2020 / Online: 30 August 2020 (10:53:32 CEST)
Version 2
: Received: 2 September 2020 / Approved: 2 September 2020 / Online: 2 September 2020 (10:02:03 CEST)
How to cite:
Expert, P.; Turkheimer, F. A Complex Systems Perspective on Neuroimaging Studies of Behaviour and Its Disorders. Preprints2020, 2020080654. https://doi.org/10.20944/preprints202008.0654.v1
Expert, P.; Turkheimer, F. A Complex Systems Perspective on Neuroimaging Studies of Behaviour and Its Disorders. Preprints 2020, 2020080654. https://doi.org/10.20944/preprints202008.0654.v1
Expert, P.; Turkheimer, F. A Complex Systems Perspective on Neuroimaging Studies of Behaviour and Its Disorders. Preprints2020, 2020080654. https://doi.org/10.20944/preprints202008.0654.v1
APA Style
Expert, P., & Turkheimer, F. (2020). A Complex Systems Perspective on Neuroimaging Studies of Behaviour and Its Disorders. Preprints. https://doi.org/10.20944/preprints202008.0654.v1
Chicago/Turabian Style
Expert, P. and Federico Turkheimer. 2020 "A Complex Systems Perspective on Neuroimaging Studies of Behaviour and Its Disorders" Preprints. https://doi.org/10.20944/preprints202008.0654.v1
Abstract
The study of complex systems deals with emergent behaviour that arises as a result of nonlinear spatio-temporal 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 behaviour 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 demonstrate that the use of such traditional models may distort the outcomes of neuroimaging experiments – hence affecting their interpretability and raising questions about their reliability.Therefore, we argue in favor of adopting a complex systems-based methodology in the study of neuroimaging, alongside appropriate experimental paradigms, and with minimal influences from non-complex systems approaches. Our exposition includes a review of the fundamental mathematical concepts, combined with practical examples and a compilation of results from the literature.
Medicine and Pharmacology, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
