scholarly journals Brain Oscillations and Functional Connectivity during Overt Language Production

2012 ◽  
Vol 3 ◽  
Author(s):  
Arne Ewald ◽  
Sabrina Aristei ◽  
Guido Nolte ◽  
Rasha Abdel Rahman

2008 ◽  
Vol 28 ◽  
pp. 191-204 ◽  
Author(s):  
Ching-fen Hsu ◽  
Annette Karmiloff-Smith

Most aspects of human life—from gene expression, to brain structure/function, to underlying linguistic and cognitive processes, through to overt language production and comprehension behaviors—are the result of dynamic developmental processes, in which timing plays a crucial role. So, the study of language acquisition in developmental disorders such as Williams syndrome (WS) needs to change from the still widely held view that developmental disorders can be accounted for in terms of spared versus impaired modules to one that takes serious account of the fact that the infant cortex passes from an initial state of high regional interconnectivity to a subsequent state of progressively increasing specialization and localization of functional brain networks. With such early interconnectivity in mind, developmental neuroscientists must explore the possibility that a small perturbation in low-level processes in one part of the brain very early in development can result in serious deficits in higher-level processes in another part of the brain later in development. Therefore, in profiling developmental disorders of language such as in WS, it is vital to start in early infancy, from which to trace the full trajectory of the interactions of language and other cognitive processes across infancy, toddlerhood, and childhood, through to adolescence and adulthood.



2017 ◽  
Vol 45 (5) ◽  
pp. 792-803 ◽  
Author(s):  
Marie-Claude Guerrette ◽  
Katherine Guérard ◽  
Jean Saint-Aubin


NeuroImage ◽  
2015 ◽  
Vol 120 ◽  
pp. 75-87 ◽  
Author(s):  
Mia Liljeström ◽  
Claire Stevenson ◽  
Jan Kujala ◽  
Riitta Salmelin




2020 ◽  
Author(s):  
Aref Pariz ◽  
Ingo Fischer ◽  
Alireza Valizadeh ◽  
Claudio Mirasso

AbstractBrain networks exhibit very variable and dynamical functional connectivity and flexible configurations of information exchange despite their overall fixed structure (connectome). Brain oscillations are hypothesized to underlie time-dependent functional connectivity by periodically changing the excitability of neural populations. In this paper, we investigate the role that the connection delay and the frequency detuning between different neural populations play in the transmission of signals. Based on numerical simulations and analytical arguments, we show that the amount of information transfer between two oscillating neural populations can be determined solely by their connection delay and the mismatch in their oscillation frequencies. Our results highlight the role of the collective phase response curve of the oscillating neural populations for the efficacy of signal transmission and the quality of the information transfer in brain networks.Author summaryCollective dynamics in brain networks is characterized by a coordinated activity of their constituent neurons that lead to brain oscillations. Many evidences highlight the role that brain oscillations play in signal transmission, the control of the effective communication between brain areas and the integration of information processed by different specialized regions. Oscillations periodically modulate the excitability of neurons and determine the response those areas receiving the signals. Based on the communication trough coherence (CTC) theory, the adjustment of the phase difference between local oscillations of connected areas can specify the timing of exchanged signals and therefore, the efficacy of the communication channels. An important factor is the delay in the transmission of signals from one region to another that affects the phase difference and timing, and consequently the impact of the signals. Despite this delay plays an essential role in CTC theory, its role has been mostly overlooked in previous studies. In this manuscript, we concentrate on the role that the connection delay and the oscillation frequency of the populations play in the signal transmission, and consequently in the effective connectivity, between two brain areas. Through extensive numerical simulations, as well as analytical results with reduced models, we show that these parameters have two essential impacts on the effective connectivity of the neural networks: First, that the populations advancing in phase to others do not necessarily play the role of the information source; and second, that the amount and direction of information transfer dependents on the oscillation frequency of the populations.



Neuroreport ◽  
2006 ◽  
Vol 17 (6) ◽  
pp. 579-582 ◽  
Author(s):  
Stefan Heim ◽  
Katrin Amunts ◽  
Hartmut Mohlberg ◽  
Marcus Wilms ◽  
Angela D. Friederici


2018 ◽  
Vol 34 (3) ◽  
pp. 289-308
Author(s):  
Tina Marusch ◽  
Lena A. Jäger ◽  
Leander Neiß ◽  
Frank Burchert ◽  
Lyndsey Nickels


2016 ◽  
Vol 29 (6) ◽  
pp. 791-813 ◽  
Author(s):  
Guang Ouyang ◽  
Werner Sommer ◽  
Changsong Zhou ◽  
Sabrina Aristei ◽  
Thomas Pinkpank ◽  
...  


2018 ◽  
Vol 46 (8) ◽  
pp. 1389-1397 ◽  
Author(s):  
Marie-Claude Guerrette ◽  
Jean Saint-Aubin ◽  
Mylène Richard ◽  
Katherine Guérard


NeuroImage ◽  
2009 ◽  
Vol 47 (2) ◽  
pp. 745-755 ◽  
Author(s):  
Jed A. Meltzer ◽  
Whitney A. Postman-Caucheteux ◽  
Joseph J. McArdle ◽  
Allen R. Braun


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