Literature DB >> 24267648

Intrinsic coupling modes: multiscale interactions in ongoing brain activity.

Andreas K Engel1, Christian Gerloff, Claus C Hilgetag, Guido Nolte.   

Abstract

Intrinsic coupling constitutes a key feature of ongoing brain activity, which exhibits rich spatiotemporal patterning and contains information that influences cognitive processing. We discuss evidence for two distinct types of intrinsic coupling modes which seem to reflect the operation of different coupling mechanisms. One type arises from phase coupling of band-limited oscillatory signals, whereas the other results from coupled aperiodic fluctuations of signal envelopes. The two coupling modes differ in their dynamics, their origins, and their putative functions and with respect to their alteration in neuropsychiatric disorders. We propose that the concept of intrinsic coupling modes can provide a unifying framework for capturing the dynamics of intrinsically generated neuronal interactions at multiple spatial and temporal scales.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 24267648     DOI: 10.1016/j.neuron.2013.09.038

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  129 in total

1.  A Dynamic Core Network and Global Efficiency in the Resting Human Brain.

Authors:  F de Pasquale; S Della Penna; O Sporns; G L Romani; M Corbetta
Journal:  Cereb Cortex       Date:  2015-09-06       Impact factor: 5.357

2.  Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal.

Authors:  Haiguang Wen; Zhongming Liu
Journal:  Brain Topogr       Date:  2015-08-29       Impact factor: 3.020

3.  Intracranial Electrophysiology Reveals Reproducible Intrinsic Functional Connectivity within Human Brain Networks.

Authors:  Aaron Kucyi; Jessica Schrouff; Stephan Bickel; Brett L Foster; James M Shine; Josef Parvizi
Journal:  J Neurosci       Date:  2018-04-06       Impact factor: 6.167

Review 4.  Magnetoencephalography in the study of brain dynamics.

Authors:  Vittorio Pizzella; Laura Marzetti; Stefania Della Penna; Francesco de Pasquale; Filippo Zappasodi; Gian Luca Romani
Journal:  Funct Neurol       Date:  2014 Oct-Dec

5.  Neuronal dynamics enable the functional differentiation of resting state networks in the human brain.

Authors:  Marco Marino; Quanying Liu; Jessica Samogin; Franca Tecchio; Carlo Cottone; Dante Mantini; Camillo Porcaro
Journal:  Hum Brain Mapp       Date:  2018-11-15       Impact factor: 5.038

6.  Group differences in MEG-ICA derived resting state networks: Application to major depressive disorder.

Authors:  Allison C Nugent; Stephen E Robinson; Richard Coppola; Maura L Furey; Carlos A Zarate
Journal:  Neuroimage       Date:  2015-05-30       Impact factor: 6.556

7.  Desynchronization of fronto-temporal networks during working memory processing in autism.

Authors:  Charline Urbain; Vanessa M Vogan; Annette X Ye; Elizabeth W Pang; Sam M Doesburg; Margot J Taylor
Journal:  Hum Brain Mapp       Date:  2015-10-20       Impact factor: 5.038

8.  Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture.

Authors:  Fenna M Krienen; B T Thomas Yeo; Randy L Buckner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-10-05       Impact factor: 6.237

9.  Theta band network supporting human episodic memory is not activated in the seizure onset zone.

Authors:  James J Young; Peter H Rudebeck; Lara V Marcuse; Madeline C Fields; Ji Yeoun Yoo; Fedor Panov; Saadi Ghatan; Arash Fazl; Sarah Mandelbaum; Mark G Baxter
Journal:  Neuroimage       Date:  2018-08-23       Impact factor: 6.556

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.