scholarly journals The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations

NeuroImage ◽  
2015 ◽  
Vol 111 ◽  
pp. 26-35 ◽  
Author(s):  
Esther Florin ◽  
Sylvain Baillet
2016 ◽  
Vol 102 ◽  
pp. 1-11 ◽  
Author(s):  
Marios Antonakakis ◽  
Stavros I. Dimitriadis ◽  
Michalis Zervakis ◽  
Sifis Micheloyannis ◽  
Roozbeh Rezaie ◽  
...  

2018 ◽  
Vol 123 ◽  
pp. 143-151 ◽  
Author(s):  
Helena J.V. Rutherford ◽  
Xiaoyue M. Guo ◽  
Jia Wu ◽  
Kelsey M. Graber ◽  
Nathan J. Hayes ◽  
...  

2017 ◽  
Author(s):  
Elliot Murphy ◽  
Antonio Benítez-Burraco

AbstractLanguage seemingly evolved from changes in brain anatomy and wiring. We argue that language evolution can be better understood if particular changes in phasal and cross-frequency coupling properties of neural oscillations, resulting in core features of language, are considered. Because we cannot track the oscillatory activity of the brain from extinct hominins, we used our current understanding of the language oscillogenome (that is, the set of genes responsible for basic aspects of the oscillatory activity relevant for language) to infer some properties of the Neanderthal oscillome. We have found that several candidates for the language oscillogenome show differences in their methylation patterns between Neanderthals and humans. We argue that differences in their expression levels could be informative of differences in cognitive functions important for language.


Author(s):  
Janet Giehl ◽  
Nima Noury ◽  
Markus Siegel

AbstractPhase-amplitude coupling (PAC) has been hypothesized to coordinate cross-frequency interactions of neuronal activity in the brain. However, little is known about the distribution of PAC across the human brain and the frequencies involved. Furthermore, it remains unclear to what extend PAC may reflect spurious cross-frequency coupling induced by physiological artifacts or rhythmic non-sinusoidal signals with higher harmonics. Here, we combined MEG, source-reconstruction and different measures of cross-frequency coupling to systematically characterize PAC across the resting human brain. We show that cross-frequency measures of phase-amplitude, phase-phase, and amplitude-amplitude coupling are all sensitive to signals with higher harmonics. In conjunction, these measures allow to distinguish harmonic and non-harmonic PAC. Based on these insights, we found no evidence for non-harmonic PAC in resting-state MEG. Instead, we found cortically and spectrally wide-spread PAC driven by harmonic signals. Furthermore, we show how physiological artifacts and spectral leakage cause spurious PAC across wide frequency ranges. Our result clarify how different measures of cross-frequency interactions can be combined to characterize PAC and cast doubt on the presence of prominent non-harmonic phase-amplitude coupling in human resting-state MEG.


2017 ◽  
Vol 356 ◽  
pp. 63-73 ◽  
Author(s):  
Min-Hee Ahn ◽  
Sung Kwang Hong ◽  
Byoung-Kyong Min

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