Literature DB >> 24321555

Exploring mechanisms of spontaneous functional connectivity in MEG: how delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations.

Joana Cabral1, Henry Luckhoo2, Mark Woolrich3, Morten Joensson4, Hamid Mohseni5, Adam Baker2, Morten L Kringelbach4, Gustavo Deco6.   

Abstract

Spontaneous (or resting-state) brain activity has attracted a growing body of neuroimaging research over the last decades. Whole-brain network models have proved helpful to investigate the source of slow (<0.1 Hz) correlated hemodynamic fluctuations revealed in fMRI during rest. However, the mechanisms mediating resting-state long-distance correlations and the relationship with the faster neural activity remain unclear. Novel insights coming from MEG studies have shown that the amplitude envelopes of alpha- and beta-frequency oscillations (~8-30 Hz) display similar correlation patterns as the fMRI signals. In this work, we combine experimental and theoretical work to investigate the mechanisms of spontaneous MEG functional connectivity. Using a simple model of coupled oscillators adapted to incorporate realistic whole-brain connectivity and conduction delays, we explore how slow and structured amplitude envelopes of band-pass filtered signals - fairly reproducing MEG data collected from 10 healthy subjects at rest - are generated spontaneously in the space-time structure of the brain network. Our simulation results show that the large-scale neuroanatomical connectivity provides an optimal network structure to support a regime with metastable synchronization. In this regime, different subsystems may temporarily synchronize at reduced collective frequencies (falling in the 8-30 Hz range due to the delays) while the global system never fully synchronizes. This mechanism modulates the frequency of the oscillators on a slow time-scale (<0.1 Hz) leading to structured amplitude fluctuations of band-pass filtered signals. Taken overall, our results reveal that the structured amplitude envelope fluctuations observed in resting-state MEG data may originate from spontaneous synchronization mechanisms naturally occurring in the space-time structure of the brain.
Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Functional connectivity; Kuramoto; MEG; Modeling; Network; Oscillations; Resting state; Structural connectivity

Mesh:

Year:  2013        PMID: 24321555     DOI: 10.1016/j.neuroimage.2013.11.047

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


  81 in total

1.  Functional connectivity arises from a slow rhythmic mechanism.

Authors:  Jingfeng M Li; William J Bentley; Abraham Z Snyder; Marcus E Raichle; Lawrence H Snyder
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-27       Impact factor: 11.205

Review 2.  Rethinking segregation and integration: contributions of whole-brain modelling.

Authors:  Gustavo Deco; Giulio Tononi; Melanie Boly; Morten L Kringelbach
Journal:  Nat Rev Neurosci       Date:  2015-06-17       Impact factor: 34.870

3.  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

4.  Activity-dependent myelination: A glial mechanism of oscillatory self-organization in large-scale brain networks.

Authors:  Rabiya Noori; Daniel Park; John D Griffiths; Sonya Bells; Paul W Frankland; Donald Mabbott; Jeremie Lefebvre
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-01       Impact factor: 11.205

5.  Dynamic Control of Synchronous Activity in Networks of Spiking Neurons.

Authors:  Axel Hutt; Andreas Mierau; Jérémie Lefebvre
Journal:  PLoS One       Date:  2016-09-26       Impact factor: 3.240

6.  Oscillation-Based Connectivity Architecture Is Dominated by an Intrinsic Spatial Organization, Not Cognitive State or Frequency.

Authors:  Parham Mostame; Sepideh Sadaghiani
Journal:  J Neurosci       Date:  2020-11-17       Impact factor: 6.167

7.  Increased Resting-State Gamma-Band Connectivity in First-Episode Schizophrenia.

Authors:  Christina Andreou; Guido Nolte; Gregor Leicht; Nenad Polomac; Ileana L Hanganu-Opatz; Martin Lambert; Andreas K Engel; Christoph Mulert
Journal:  Schizophr Bull       Date:  2014-08-28       Impact factor: 9.306

8.  Speaking rhythmically can shape hearing.

Authors:  M Florencia Assaneo; Johanna M Rimmele; Yonatan Sanz Perl; David Poeppel
Journal:  Nat Hum Behav       Date:  2020-10-12

Review 9.  Conflicting emergences. Weak vs. strong emergence for the modelling of brain function.

Authors:  Federico E Turkheimer; Peter Hellyer; Angie A Kehagia; Paul Expert; Louis-David Lord; Jakub Vohryzek; Jessica De Faria Dafflon; Mick Brammer; Robert Leech
Journal:  Neurosci Biobehav Rev       Date:  2019-01-23       Impact factor: 8.989

10.  FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency.

Authors:  Gianluca Susi; Pilar Garcés; Emanuele Paracone; Alessandro Cristini; Mario Salerno; Fernando Maestú; Ernesto Pereda
Journal:  Sci Rep       Date:  2021-06-09       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.