Hancock, F.; Rosas, F.E.; Mediano, P.A.M.; Luppi, A.I.; Cabral, J.; Dipasquale, O.; Turkheimer, F.E. May the 4C’s Be with You: An Overview of Complexity-Inspired Frameworks for Analysing Resting-State Neuroimaging Data. Journal of The Royal Society Interface 2022, 19, doi:10.1098/rsif.2022.0214.
Hancock, F.; Rosas, F.E.; Mediano, P.A.M.; Luppi, A.I.; Cabral, J.; Dipasquale, O.; Turkheimer, F.E. May the 4C’s Be with You: An Overview of Complexity-Inspired Frameworks for Analysing Resting-State Neuroimaging Data. Journal of The Royal Society Interface 2022, 19, doi:10.1098/rsif.2022.0214.
Hancock, F.; Rosas, F.E.; Mediano, P.A.M.; Luppi, A.I.; Cabral, J.; Dipasquale, O.; Turkheimer, F.E. May the 4C’s Be with You: An Overview of Complexity-Inspired Frameworks for Analysing Resting-State Neuroimaging Data. Journal of The Royal Society Interface 2022, 19, doi:10.1098/rsif.2022.0214.
Hancock, F.; Rosas, F.E.; Mediano, P.A.M.; Luppi, A.I.; Cabral, J.; Dipasquale, O.; Turkheimer, F.E. May the 4C’s Be with You: An Overview of Complexity-Inspired Frameworks for Analysing Resting-State Neuroimaging Data. Journal of The Royal Society Interface 2022, 19, doi:10.1098/rsif.2022.0214.
Abstract
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 behavior. 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 analyze and synthesize whole-brain neuroimaging research, examined through functional magnetic imaging (fMRI), to demonstrate that complexity science offers a principled and integrated approach to describe, and potentially understand, macroscale spontaneous brain functioning.
Keywords
Complexity; connectivity; computation; criticality; metastability; integrated information
Subject
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.