Baseline Measures of EEG Power as Correlates of the Verbal and Nonverbal Components of Creativity and Intelligence

2022 ◽  
Author(s):  
O. M. Razumnikova
Keyword(s):  
Eeg Power

An Adaptive and Learning System for Feedback-Controlled Evoked Response Studies

1981 ◽  
Vol 20 (03) ◽  
pp. 169-173
Author(s):  
J. Wagner ◽  
G. Pfurtscheixer
Keyword(s):  
Brain Activity ◽  
Evoked Response ◽  
Learning System ◽  
Time Interval ◽  
Electrical Brain Activity ◽  
Long Time ◽  
The Subject ◽  
Eeg Power ◽  
Stimulation System ◽  
Background Eeg

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.

Behavioural and EEG atypicalities during rest, visual perception, and cognitive control in autistic adults

2020 ◽  
Author(s):  
Amandine Lassalle ◽  
Michael X Cohen ◽  
Laura Dekkers ◽  
Elizabeth Milne ◽  
Rasa Gulbinaite ◽  
...  
Keyword(s):  
Visual Perception ◽  
Cognitive Control ◽  
Visual Processing ◽  
Autism Spectrum ◽  
Neural Dynamics ◽  
Simple Explanation ◽  
Control Task ◽  
Neural Structure ◽  
Eeg Power ◽  
Autistic Adults

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.

scholarly journals Spontaneous long-term and urethane induced hippocampal EEG power, activity and temperature data from mice lacking the Cav3.2 voltage-gated Ca2+ channel

Data in Brief ◽  
2021 ◽  
Vol 36 ◽  
pp. 107027
Author(s):  
Anna Papazoglou ◽  
Muhammad Imran Arshaad ◽  
Magdalena Elisabeth Siwek ◽  
Christina Henseler ◽  
Johanna Daubner ◽  
...  
Keyword(s):  
Temperature Data ◽  
Voltage Gated ◽  
Eeg Power ◽  
Hippocampal Eeg

scholarly journals An Analysis of the External Validity of EEG Spectral Power in an Uncontrolled Outdoor Environment during Default and Complex Neurocognitive States

2021 ◽  
Vol 11 (3) ◽  
pp. 330
Author(s):  
Dalton J. Edwards ◽  
Logan T. Trujillo
Keyword(s):  
External Validity ◽  
Spectral Power ◽  
Brain Activity ◽  
Outdoor Environment ◽  
Oscillatory Activity ◽  
Brain State ◽  
Beta Band ◽  
Eeg Spectral Power ◽  
Eeg Power ◽  
Human Participants

Traditionally, quantitative electroencephalography (QEEG) studies collect data within controlled laboratory environments that limit the external validity of scientific conclusions. To probe these validity limits, we used a mobile EEG system to record electrophysiological signals from human participants while they were located within a controlled laboratory environment and an uncontrolled outdoor environment exhibiting several moderate background influences. Participants performed two tasks during these recordings, one engaging brain activity related to several complex cognitive functions (number sense, attention, memory, executive function) and the other engaging two default brain states. We computed EEG spectral power over three frequency bands (theta: 4–7 Hz, alpha: 8–13 Hz, low beta: 14–20 Hz) where EEG oscillatory activity is known to correlate with the neurocognitive states engaged by these tasks. Null hypothesis significance testing yielded significant EEG power effects typical of the neurocognitive states engaged by each task, but only a beta-band power difference between the two background recording environments during the default brain state. Bayesian analysis showed that the remaining environment null effects were unlikely to reflect measurement insensitivities. This overall pattern of results supports the external validity of laboratory EEG power findings for complex and default neurocognitive states engaged within moderately uncontrolled environments.

Effect of interleukin-1 beta on EEG power density during sleep depends on circadian phase

1996 ◽  
Vol 270 (4) ◽  
pp. R830-R837 ◽  
Author(s):  
M. Lancel ◽  
S. Mathias ◽  
J. Faulhaber ◽  
T. Schiffelholz
Keyword(s):  
Power Density ◽  
Interleukin 1 ◽  
Time Of Day ◽  
Controlled Study ◽  
Randomized Experiments ◽  
Eeg Activity ◽  
Circadian Phase ◽  
Activity Phase ◽  
Eeg Power ◽  
A Minor

The cytokine interleukin (IL)-1 is a key mediator of the somnogenic response to immune challenge. In this vehicle-controlled study we evaluated circadian interference with the sleep-promoting effects of IL-1 beta. In two randomized experiments, rats were injected intracerebroventricularly with 5 ng IL-1 beta either at the beginning of the rest phase or at the beginning of the activity phase. Recordings were made during the 24 h preceding the injections (baseline) and during the first 12 postinjection hours. To avoid masking effects of light, the rats were maintained under a skeleton photoperiod during recording. During both the rest and activity phase, IL-1 beta induced fever and initially promoted non-rapid eye movement sleep (REMS). The effect of IL-1 beta on the duration of non-REMS and electroencephalogram (EEG) power densities within non-REMS was related to circadian phase. During the rest phase, IL-1 beta resulted in a minor increase in non-REMS duration but a prominent enhancement in EEG activity in the delta (0.5-4 Hz) and most other frequency bands. During the activity phase, IL-1 beta evoked a larger increase in the duration of non-REMS but hardly affected EEG activity within this state. Thus the effects of IL-1 beta on non-REMS are strongly influenced by diurnal phase. The alterations in EEG power density are in contrast to those elicited by sleep deprivation, which are largely independent of time of day. It is concluded that IL-1 beta activates EEG regulatory mechanisms mediated by processes that depend on circadian phase.

Symptom-specific EEG power correlations in patients with obsessive–compulsive disorder

2006 ◽  
Vol 62 (1) ◽  
pp. 87-92 ◽  
Author(s):  
Oliver Pogarell ◽  
Georg Juckel ◽  
Paraskevi Mavrogiorgou ◽  
Christoph Mulert ◽  
Malte Folkerts ◽  
...  
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Eeg Power

An EEG power index (eyes open vs. eyes closed) to differentiate Alzheimer's from vascular dementia and healthy ageing

1996 ◽  
Vol 22 (3) ◽  
pp. 245-260 ◽  
Author(s):  
Mario Signorino ◽  
Enrico Brizioli ◽  
Loredana Amadio ◽  
Natascia Belardinelli ◽  
Eugenio Pucci ◽  
...  
Keyword(s):  
Vascular Dementia ◽  
Power Index ◽  
Healthy Ageing ◽  
Eyes Closed ◽  
Eyes Open ◽  
Eeg Power

Sferics Provoke Changes in EEG Power

2001 ◽  
Vol 107 (1-2) ◽  
pp. 87-102 ◽  
Author(s):  
A. Schienle ◽  
R. Stark ◽  
D. Vaitl
Keyword(s):  
Eeg Power
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