EEG power, frequency, asymmetry and coherence in male depression

2001 ◽  
Vol 106 (2) ◽  
pp. 123-140 ◽  
Author(s):  
Verner Knott ◽  
Colleen Mahoney ◽  
Sidney Kennedy ◽  
Kenneth Evans
2014 ◽  
Vol 10 (1) ◽  
pp. 12 ◽  
Author(s):  
Rajamanickam Yuvaraj ◽  
Murugappan Murugappan ◽  
Norlinah Mohamed Ibrahim ◽  
Mohd Iqbal ◽  
Kenneth Sundaraj ◽  
...  

2019 ◽  
Vol 20 (4) ◽  
pp. 459-466 ◽  
Author(s):  
Brian P. Cole ◽  
M. Meghan Davidson
Keyword(s):  

1981 ◽  
Vol 20 (03) ◽  
pp. 169-173
Author(s):  
J. Wagner ◽  
G. Pfurtscheixer

The shape, latency and amplitude of changes in electrical brain activity related to a stimulus (Evoked Potential) depend both on the stimulus parameters and on the background EEG at the time of stimulation. An adaptive, learnable stimulation system is introduced, whereby the subject is stimulated (e.g. with light), whenever the EEG power is subthreshold and minimal. Additionally, the system is conceived in such a way that a certain number of stimuli could be given within a particular time interval. Related to this time criterion, the threshold specific for each subject is calculated at the beginning of the experiment (preprocessing) and adapted to the EEG power during the processing mode because of long-time fluctuations and trends in the EEG. The process of adaptation is directed by a table which contains the necessary correction numbers for the threshold. Experiences of the stimulation system are reflected in an automatic correction of this table. Because the corrected and improved table is stored after each experiment and is used as the starting table for the next experiment, the system >learns<. The system introduced here can be used both for evoked response studies and for alpha-feedback experiments.


Author(s):  
Sergey Yu. Perov ◽  
Tatyana A. Konshina ◽  
Elena N. Makarova-Zemlyanskaya

In conditions of exceeding the maximum permissible levels of power frequency electric field, the staff must use personal protective equipment. Requirements for such means are regulated by the system of occupational safety standards. The goal of this work is analyzed new requirements for power frequency and induced personal protective equipment in the regulatory interstate standards GOST 12.4.172 and GOST 12.4.283. The personal protective equipment new requirements for various types of work are substantiated to electrical personnel health safety during the maintenance and operation of power grid facilities. Increasing requirements for personal protective equipment improves the staff protection at ground potential and at wire potential, including in emergency situations such as induced and step voltage.


2020 ◽  
Author(s):  
Amandine Lassalle ◽  
Michael X Cohen ◽  
Laura Dekkers ◽  
Elizabeth Milne ◽  
Rasa Gulbinaite ◽  
...  

Background: People with an Autism Spectrum Condition diagnosis (ASD) are hypothesized to show atypical neural dynamics, reflecting differences in neural structure and function. However, previous results regarding neural dynamics in autistic individuals have not converged on a single pattern of differences. It is possible that the differences are cognitive-set-specific, and we therefore measured EEG in autistic individuals and matched controls during three different cognitive states: resting, visual perception, and cognitive control.Methods: Young adults with and without an ASD (N=17 in each group) matched on age (range 20 to 30 years), sex, and estimated Intelligence Quotient (IQ) were recruited. We measured their behavior and their EEG during rest, a task requiring low-level visual perception of gratings of varying spatial frequency, and the “Simon task” to elicit activity in the executive control network. We computed EEG power and Inter-Site Phase Clustering (ISPC; a measure of connectivity) in various frequency bands.Results: During rest, there were no ASD vs. controls differences in EEG power, suggesting typical oscillation power at baseline. During visual processing, without pre-baseline normalization, we found decreased broadband EEG power in ASD vs. controls, but this was not the case during the cognitive control task. Furthermore, the behavioral results of the cognitive control task suggest that autistic adults were better able to ignore irrelevant stimuli.Conclusions: Together, our results defy a simple explanation of overall differences between ASD and controls, and instead suggest a more nuanced pattern of altered neural dynamics that depend on which neural networks are engaged.


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