Literature DB >> 26833259

Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective.

Gustavo Deco1, Morten L Kringelbach2.   

Abstract

Understanding the mechanisms for communication in the brain remains one of the most challenging scientific questions. The communication through coherence (CTC) hypothesis was originally proposed 10 years ago, stating that two groups of neurons communicate most effectively when their excitability fluctuations are coordinated in time (i.e., coherent), and this control by cortical coherence is a fundamental brain mechanism for large-scale, distant communication. In light of new evidence from whole-brain computational modelling of multimodal neuroimaging data, we link CTC to the concept of metastability, which refers to a rich exploration of the functional repertoire made possible by the underlying structural whole-brain connectivity.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  communication through coherence; metastability; synchronisation; whole-brain-modelling

Mesh:

Year:  2016        PMID: 26833259     DOI: 10.1016/j.tins.2016.01.001

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  53 in total

1.  Awakening: Predicting external stimulation to force transitions between different brain states.

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Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-19       Impact factor: 11.205

2.  fMRI single trial discovery of spatio-temporal brain activity patterns.

Authors:  Michele Allegra; Shima Seyed-Allaei; Fabrizio Pizzagalli; Fahimeh Baftizadeh; Marta Maieron; Carlo Reverberi; Alessandro Laio; Daniele Amati
Journal:  Hum Brain Mapp       Date:  2016-11-23       Impact factor: 5.038

3.  Reliable local dynamics in the brain across sessions are revealed by whole-brain modeling of resting state activity.

Authors:  Patricio Donnelly-Kehoe; Victor M Saenger; Nina Lisofsky; Simone Kühn; Morten L Kringelbach; Jens Schwarzbach; Ulman Lindenberger; Gustavo Deco
Journal:  Hum Brain Mapp       Date:  2019-03-18       Impact factor: 5.038

4.  Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome.

Authors:  Thomas H Alderson; Arun L W Bokde; J A Scott Kelso; Liam Maguire; Damien Coyle
Journal:  Neuroimage       Date:  2018-08-18       Impact factor: 6.556

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6.  The Affective Core of Emotion: Linking Pleasure, Subjective Well-Being, and Optimal Metastability in the Brain.

Authors:  Morten L Kringelbach; Kent C Berridge
Journal:  Emot Rev       Date:  2017-06-15

7.  Charting moment-to-moment brain signal variability from early to late childhood.

Authors:  Vladimir Miskovic; Max Owens; Karl Kuntzelman; Brandon E Gibb
Journal:  Cortex       Date:  2016-07-15       Impact factor: 4.027

Review 8.  Role of Network Science in the Study of Anesthetic State Transitions.

Authors:  UnCheol Lee; George A Mashour
Journal:  Anesthesiology       Date:  2018-11       Impact factor: 7.892

9.  Multiscale energy reallocation during low-frequency steady-state brain response.

Authors:  Yifeng Wang; Wang Chen; Liangkai Ye; Bharat B Biswal; Xuezhi Yang; Qijun Zou; Pu Yang; Qi Yang; Xinqi Wang; Qian Cui; Xujun Duan; Wei Liao; Huafu Chen
Journal:  Hum Brain Mapp       Date:  2018-02-01       Impact factor: 5.038

10.  An Integrated World Modeling Theory (IWMT) of Consciousness: Combining Integrated Information and Global Neuronal Workspace Theories With the Free Energy Principle and Active Inference Framework; Toward Solving the Hard Problem and Characterizing Agentic Causation.

Authors:  Adam Safron
Journal:  Front Artif Intell       Date:  2020-06-09
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