Literature DB >> 29526743

Distinct criticality of phase and amplitude dynamics in the resting brain.

Andreas Daffertshofer1, Robert Ton2, Morten L Kringelbach3, Mark Woolrich4, Gustavo Deco5.   

Abstract

Converging research suggests that the resting brain operates at the cusp of dynamic instability, as signified by scale-free temporal correlations. We asked whether the scaling properties of these correlations differ between amplitude and phase fluctuations, which may reflect different aspects of cortical functioning. Using source-reconstructed magneto-encephalographic signals, we found power-law scaling for the collective amplitude and for phase synchronization, both capturing whole-brain activity. The temporal changes of the amplitude comprise slow, persistent memory processes, whereas phase synchronization exhibits less temporally structured and more complex correlations, indicating a fast and flexible coding. This distinct temporal scaling supports the idea of different roles of amplitude and phase fluctuations in cortical functioning.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Keywords:  Amplitude; Criticality; DFA; Phase; Power laws

Mesh:

Year:  2018        PMID: 29526743     DOI: 10.1016/j.neuroimage.2018.03.002

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  9 in total

1.  Long-Range Amplitude Coupling Is Optimized for Brain Networks That Function at Criticality.

Authors:  Arthur-Ervin Avramiea; Anas Masood; Huibert D Mansvelder; Klaus Linkenkaer-Hansen
Journal:  J Neurosci       Date:  2022-01-26       Impact factor: 6.709

2.  Detrended Fluctuation, Coherence, and Spectral Power Analysis of Activation Rearrangement in EEG Dynamics During Cognitive Workload.

Authors:  Ivan Seleznov; Igor Zyma; Ken Kiyono; Sergii Tukaev; Anton Popov; Mariia Chernykh; Oleksii Shpenkov
Journal:  Front Hum Neurosci       Date:  2019-08-08       Impact factor: 3.169

3.  Dissociated neuronal phase- and amplitude-coupling patterns in the human brain.

Authors:  Marcus Siems; Markus Siegel
Journal:  Neuroimage       Date:  2020-01-11       Impact factor: 6.556

4.  Altered Temporal Structure of Neural Phase Synchrony in Patients With Autism Spectrum Disorder.

Authors:  Huibin Jia; Fei Gao; Dongchuan Yu
Journal:  Front Psychiatry       Date:  2021-11-10       Impact factor: 4.157

5.  Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity.

Authors:  Fran Hancock; Joana Cabral; Andrea I Luppi; Fernando E Rosas; Pedro A M Mediano; Ottavia Dipasquale; Federico E Turkheimer
Journal:  Neuroimage       Date:  2022-07-01       Impact factor: 7.400

6.  Predicting time-resolved electrophysiological brain networks from structural eigenmodes.

Authors:  Prejaas Tewarie; Bastian Prasse; Jil Meier; Kanad Mandke; Shaun Warrington; Cornelis J Stam; Matthew J Brookes; Piet Van Mieghem; Stamatios N Sotiropoulos; Arjan Hillebrand
Journal:  Hum Brain Mapp       Date:  2022-06-01       Impact factor: 5.399

7.  Variations of Resting-State EEG-Based Functional Networks in Brain Maturation From Early Childhood to Adolescence.

Authors:  Yoon Gi Chung; Yonghoon Jeon; Ryeo Gyeong Kim; Anna Cho; Hunmin Kim; Hee Hwang; Jieun Choi; Ki Joong Kim
Journal:  J Clin Neurol       Date:  2022-09       Impact factor: 2.566

8.  Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations.

Authors:  Jaana Simola; Felix Siebenhühner; Vladislav Myrov; Katri Kantojärvi; Tiina Paunio; J Matias Palva; Elvira Brattico; Satu Palva
Journal:  iScience       Date:  2022-08-18

9.  Unique scales preserve self-similar integrate-and-fire functionality of neuronal clusters.

Authors:  Anar Amgalan; Patrick Taylor; Lilianne R Mujica-Parodi; Hava T Siegelmann
Journal:  Sci Rep       Date:  2021-03-05       Impact factor: 4.379

  9 in total

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