scholarly journals Caffeine Reduces Low-Frequency Delta Activity in the Human Sleep EEG

1995 ◽  
Vol 12 (3) ◽  
pp. 229-238 ◽  
Author(s):  
H Landolt
1977 ◽  
Vol 43 (2) ◽  
pp. 229-237 ◽  
Author(s):  
J.R Smith ◽  
I Karacan ◽  
M Yang
Keyword(s):  

2002 ◽  
Vol 46 (2) ◽  
pp. 104-110 ◽  
Author(s):  
Toshio Kobayashi ◽  
Shigeki Madokoro ◽  
Yuji Wada ◽  
Kiwamu Misaki ◽  
Hiroki Nakagawa

SLEEP ◽  
2010 ◽  
Vol 33 (6) ◽  
pp. 801-809 ◽  
Author(s):  
Leila Tarokh ◽  
Mary A. Carskadon

Neuroreport ◽  
2000 ◽  
Vol 11 (15) ◽  
pp. 3321-3325 ◽  
Author(s):  
Reto Huber ◽  
Thomas Graf ◽  
Kimberly A. Cote ◽  
Lutz Wittmann ◽  
Eva Gallmann ◽  
...  

2015 ◽  
Vol 112 (45) ◽  
pp. E6233-E6242 ◽  
Author(s):  
Keith B. Doelling ◽  
David Poeppel

Recent studies establish that cortical oscillations track naturalistic speech in a remarkably faithful way. Here, we test whether such neural activity, particularly low-frequency (<8 Hz; delta–theta) oscillations, similarly entrain to music and whether experience modifies such a cortical phenomenon. Music of varying tempi was used to test entrainment at different rates. In three magnetoencephalography experiments, we recorded from nonmusicians, as well as musicians with varying years of experience. Recordings from nonmusicians demonstrate cortical entrainment that tracks musical stimuli over a typical range of tempi, but not at tempi below 1 note per second. Importantly, the observed entrainment correlates with performance on a concurrent pitch-related behavioral task. In contrast, the data from musicians show that entrainment is enhanced by years of musical training, at all presented tempi. This suggests a bidirectional relationship between behavior and cortical entrainment, a phenomenon that has not previously been reported. Additional analyses focus on responses in the beta range (∼15–30 Hz)—often linked to delta activity in the context of temporal predictions. Our findings provide evidence that the role of beta in temporal predictions scales to the complex hierarchical rhythms in natural music and enhances processing of musical content. This study builds on important findings on brainstem plasticity and represents a compelling demonstration that cortical neural entrainment is tightly coupled to both musical training and task performance, further supporting a role for cortical oscillatory activity in music perception and cognition.


2014 ◽  
Vol 10 ◽  
pp. 21-33 ◽  
Author(s):  
Shayan Motamedi-Fakhr ◽  
Mohamed Moshrefi-Torbati ◽  
Martyn Hill ◽  
Catherine M. Hill ◽  
Paul R. White

2012 ◽  
Vol 22 (04) ◽  
pp. 1250080 ◽  
Author(s):  
HU SHENG ◽  
YANGQUAN CHEN ◽  
TIANSHUANG QIU

Electroencephalogram (EEG), the measures and records of the electrical activity of the brain, exhibits evidently nonlinear, nonstationary, chaotic and complex dynamic properties. Based on these properties, many nonlinear dynamical analysis techniques have emerged, and much valuable information has been extracted from complex EEG signals using these nonlinear analysis techniques. Among these techniques, the Hurst exponent estimation was widely used to characterize the fractional or scaling property of the EEG signals. However, the constant Hurst exponent H cannot capture the detailed information of dynamic EEG signals. In this research, the multifractional property of the normal human sleep EEG signals is investigated and characterized using local Hölder exponent H(t). The comparison of the analysis results for human sleep EEG signals in different stages using constant Hurst exponent H and the local Hölder exponent H(t) are summarized with tables and figures in the paper. The results of the analysis show that local Hölder exponent provides a novel and valid tool for dynamic assessment of brain activities in different sleep stages.


1997 ◽  
Vol 759 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Erich Seifritz ◽  
Stephen M Stahl ◽  
J.Christian Gillin

1987 ◽  
Vol 20 (4) ◽  
pp. 366-372 ◽  
Author(s):  
Robert Hoffmann ◽  
Daniel Jeakins
Keyword(s):  

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