Variations in electroencephalographic alpha activity under conditions of differential lighting and auditory feedback

1976 ◽  
Vol 1 (4) ◽  
pp. 423-432 ◽  
Author(s):  
Howard B. Orenstein ◽  
Beth McWilliams
Keyword(s):  
Auditory Feedback ◽  
Alpha Activity

Alpha activity: The influence of unpatterned light input and auditory feedback

Life Sciences ◽  
1975 ◽  
Vol 16 (5) ◽  
pp. 729-737 ◽  
Author(s):  
Gary Bridgwater ◽  
Clifford J. Sherry ◽  
Thaddeus J. Marczynski
Keyword(s):  
Auditory Feedback ◽  
Alpha Activity ◽  
Light Input

Voluntary Alpha Control, Visually Evoked Potentials, and Peripheral Physiological Indicants of Activation

1977 ◽  
Vol 44 (2) ◽  
pp. 491-496 ◽  
Author(s):  
Roberta R. Sadler ◽  
Robert G. Eason
Keyword(s):  
Evoked Potentials ◽  
Auditory Feedback ◽  
Alpha Activity ◽  
Cortical Activation ◽  
Visually Evoked Potentials ◽  
Eyes Closed ◽  
Activation Level ◽  
Bodily Arousal ◽  
Induced Changes

To test the hypothesis that voluntary alpha control is mediated in part through self-induced changes in cortical activation level and bodily arousal, changes in several physiological indicants of such activity were systematically examined as a function of the voluntary enhancement and suppression of scalp-recorded alpha activity. Following pre-training, 6 subjects attempted to either produce or suppress alpha with eyes closed while receiving continuous auditory feedback of their alpha levels. The results were interpreted as offering tentative support for the hypothesis.

Delayed Auditory Feedback with Different Delay Times at Each Ear

1964 ◽  
Vol 7 (4) ◽  
pp. 369-371
Author(s):  
Samuel Fillenbaum
Keyword(s):  
Delay Interval ◽  
Auditory Feedback ◽  
Normal Subjects ◽  
Delayed Auditory Feedback ◽  
Delay Times

Binaurally asynchronous delayed auditory feedback (DAF) was compared with synchronous DAF in 80 normal subjects. Asynchronous DAF (0.10 sec difference) did not yield results different from those obtained under synchronous DAF with a 0.20 sec delay interval, an interval characteristically resulting in maximum disruptions in speech.

Effects of Noise and Increased Vocal Intensity on Stuttering

1977 ◽  
Vol 20 (2) ◽  
pp. 233-240 ◽  
Author(s):  
Sharon F. Garber ◽  
Richard R. Martin
Keyword(s):  
Normal Level ◽  
Auditory Feedback ◽  
Concomitant Increase ◽  
Vocal Intensity ◽  
Presence And Absence

The present study was designed to assess the effects of increased vocal level on stuttering in the presence and absence of noise, and to assess the effects of noise on stuttering with and without a concomitant increase in vocal level. Accordingly, eight adult stutterers spoke in quiet with normal vocal level, in quiet with increased vocal level, in noise with normal level, and in noise with increased level. All subjects reduced stuttering in noise compared with quiet conditions. However, there was no difference in stuttering when subjects spoke with normal compared with increased vocal level. In the present study, reductions in stuttering under noise could not be explained by increases in vocal level. It appears, instead, that reductions in stuttering were related to a decrease in auditory feedback. The condition which resulted in the largest decrease in auditory feedback, speaking in noise with a normal level, also resulted in the largest decrease in stuttering.

Spectral and Topographic Microstructure of Brain Alpha Activity During Drowsiness at Sleep Onset and REM Sleep

2000 ◽  
Vol 14 (3) ◽  
pp. 151-158 ◽  
Author(s):  
José Luis Cantero ◽  
Mercedes Atienza
Keyword(s):  
Rem Sleep ◽  
Spectral Component ◽  
Sleep Onset ◽  
Quantitative Information ◽  
Maximum Energy ◽  
Alpha Activity ◽  
The Other ◽  
Classification Algorithms ◽  
Microstructural Properties ◽  
Brain States

Abstract High-resolution frequency methods were used to describe the spectral and topographic microstructure of human spontaneous alpha activity in the drowsiness (DR) period at sleep onset and during REM sleep. Electroencephalographic (EEG), electrooculographic (EOG), and electromyographic (EMG) measurements were obtained during sleep in 10 healthy volunteer subjects. Spectral microstructure of alpha activity during DR showed a significant maximum power with respect to REM-alpha bursts for the components in the 9.7-10.9 Hz range, whereas REM-alpha bursts reached their maximum statistical differentiation from the sleep onset alpha activity at the components between 7.8 and 8.6 Hz. Furthermore, the maximum energy over occipital regions appeared in a different spectral component in each brain activation state, namely, 10.1 Hz in drowsiness and 8.6 Hz in REM sleep. These results provide quantitative information for differentiating the drowsiness alpha activity and REM-alpha by studying their microstructural properties. On the other hand, these data suggest that the spectral microstructure of alpha activity during sleep onset and REM sleep could be a useful index to implement in automatic classification algorithms in order to improve the differentiation between the two brain states.

The dynamics of disruption from altered auditory feedback

2009 ◽  
Author(s):  
Peter Q. Pfordresher ◽  
John D. Kulpa
Keyword(s):  
Auditory Feedback
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