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Cited by 113Functional Brain Connectivity StudiesNeural dynamics and brain functionMental Health Research Topics

The DOI matches its Crossref record, with a small difference in title or year; 116 of the 116 references it cites were found in a registry or an index.

"Dynamic" Connectivity in Neural Systems

Breakspear, Michael·2004·Neuroinformatics
DOI 10.1385/ni:2:2:205
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Abstract

The study of functional interdependences between brain regions is a rapidly growing focus of neuroscience research. This endeavor has been greatly facilitated by the appearance of a number of innovative methodologies for the examination of neurophysiological and neuroimaging data. The aim of this article is to present an overview of dynamical measures of interdependence and contrast these with statistical measures that have been more widely employed. We first review the motivation, conceptual basis, and experimental approach of dynamical measures of interdependence and their application to the study of neural systems. A consideration of boot-strap "surrogate data" techniques, which facilitate hypothesis testing of dynamical measures, is then used to clarify the difference between dynamical and statistical measures of interdependence. An overview of some of the most active research areas such as the study of the "synchronization manifold," dynamical interdependence in neurophysiology data and the putative role of nonlinear desynchronization is then given. We conclude by suggesting that techniques based on dynamical interdependence--or "dynamical connectivity"--show significant potential for extracting meaningful information from functional neuroimaging data.

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116 of 116 references verified0 citation errors · 0 not checkable

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  • The deployment of anatomical connections constrains effective connectivity but does not fully determine it, because synaptic connections can be expressed functionally in a dynamic and context-sensitive fashion.

    “This approach rests on the fact that the deployment of anatomical connections constrains effective connectivity but does not fully determine it because synaptic connections can be expressed functionally in a dynamic and context-sensitive fashion (Breakspear, 2004; Friston, 2002; McIntosh, 2000; Stephan et al., 2008).”

    From Ten simple rules for dynamic causal modeling (2010) · cites this paper as Breakspear, 2004

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Metadata

Authors
Breakspear, M.
Affiliations
The University of Sydney (AU)
Corresponding author
Breakspear, Michael
ORCID
Breakspear, Michael
Venue
Neuroinformatics
Publisher
Springer Science and Business Media LLC
Published
2004
Volume
2
Issue
2
Pages
205-226
ISSN
1539-2791 (ISSN-L)
DOI
10.1385/ni:2:2:205
OpenAlex
W2403125938
Cited by
113
References
116
Citations by year
2026: 4 · 2025: 3 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 9 · 2016: 3 · 2015: 8 · 2014: 10 · 2013: 5 · 2012: 7
FWCI
4.18
Type
journal article
Language
en
Open access
closed
Locations
  • Neuroinformatics (publishedVersion)
  • PubMed (publishedVersion)
Funders
Pfizer
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
functional connectivity, surrogate data, bootstrap hypothesis testing, synchronization manifold, neuronal synchronization, functional neuroimaging
MeSH terms
Brain, Cortical Synchronization, Models, Neurological, Neural Pathways, Systems Theory, Neural Networks, Computer

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