TY - JOUR
T1 - May the 4C's be with you
T2 - an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data
AU - Hancock, Fran
AU - Rosas, Fernando E
AU - Mediano, Pedro A M
AU - Luppi, Andrea I
AU - Cabral, Joana
AU - Dipasquale, Ottavia
AU - Turkheimer, Federico E
N1 - Funding Information:
F.H. received no financial support for the research, authorship and/or publication of this article. F.E.R. is supported by the Ad Astra Chandaria foundation. P.A.M.M. is funded by the Wellcome Trust (grant no. 210920/Z/18/Z). A.I.L. is supported by a Gates Cambridge Scholarship (OPP1144). This work was supported by the Alan Turing Institute under EPSRC grant no. EP/N510129/1. J.C. was funded by Portuguese Foundation for Science and Technology (FCT) grant nos. CEECIND/03325/2017, UIDB/50026/2020 and UIDP/50026/2020, Portugal. O.D. is supported by the NIHR Maudsley's Biomedical Research Centre at the South London and Maudsley NHS Trust. Acknowledgements
Publisher Copyright:
© 2022 The Author(s).
PY - 2022/6/29
Y1 - 2022/6/29
N2 - Competing and complementary models of resting-state brain dynamics contribute to our phenomenological and mechanistic understanding of whole-brain coordination and communication, and provide potential evidence for differential brain functioning associated with normal and pathological behaviour. These neuroscientific theories stem from the perspectives of physics, engineering, mathematics and psychology and create a complicated landscape of domain-specific terminology and meaning, which, when used outside of that domain, may lead to incorrect assumptions and conclusions within the neuroscience community. Here, we review and clarify the key concepts of connectivity, computation, criticality and coherence-the 4C's-and outline a potential role for metastability as a common denominator across these propositions. We analyse and synthesize whole-brain neuroimaging research, examined through functional magnetic imaging, to demonstrate that complexity science offers a principled and integrated approach to describe, and potentially understand, macroscale spontaneous brain functioning.
AB - Competing and complementary models of resting-state brain dynamics contribute to our phenomenological and mechanistic understanding of whole-brain coordination and communication, and provide potential evidence for differential brain functioning associated with normal and pathological behaviour. These neuroscientific theories stem from the perspectives of physics, engineering, mathematics and psychology and create a complicated landscape of domain-specific terminology and meaning, which, when used outside of that domain, may lead to incorrect assumptions and conclusions within the neuroscience community. Here, we review and clarify the key concepts of connectivity, computation, criticality and coherence-the 4C's-and outline a potential role for metastability as a common denominator across these propositions. We analyse and synthesize whole-brain neuroimaging research, examined through functional magnetic imaging, to demonstrate that complexity science offers a principled and integrated approach to describe, and potentially understand, macroscale spontaneous brain functioning.
KW - Brain/diagnostic imaging
KW - Head
KW - Neuroimaging
KW - Neurosciences
KW - Physics
UR - http://www.scopus.com/inward/record.url?scp=85133107161&partnerID=8YFLogxK
U2 - 10.1098/rsif.2022.0214
DO - 10.1098/rsif.2022.0214
M3 - Article
C2 - 35765805
SN - 1742-5689
VL - 19
SP - 20220214
JO - Journal of the Royal Society, Interface
JF - Journal of the Royal Society, Interface
IS - 191
M1 - 20220214
ER -