EEG power spectrum as a biomarker of autism: a pilot study

2018 ◽  
Vol 10 (4) ◽  
pp. 275
Author(s):  
Anita E. Igberaese ◽  
Gleb V. Tcheslavski
2018 ◽  
Vol 10 (4) ◽  
pp. 275
Author(s):  
Gleb V. Tcheslavski ◽  
Anita E. Igberaese

2021 ◽  
Author(s):  
A. Pathania ◽  
M. Clark ◽  
R. Cowan ◽  
M. Euler ◽  
K. Duff ◽  
...  

AbstractBackgroundPrevious research has shown that the slope of the electroencephalography (EEG) power spectrum mediates the difference between older and younger adults on a visuo-spatial working memory task. The present study sought to replicate and extend that work using a larger sample and a validated set of neuropsychological tests: The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS).MethodsForty-four participants (21 younger adults, 23 older adults) completed a battery of cognitive and motor tasks that included the RBANS. EEG data were collected both during rest and on-task. Excluding the alpha-band, RBANS scores were regressed onto the slope of the resting EEG power spectrum, controlling for age and using robust mediation analysis.ResultsOlder adults performed reliably lower on the RBANS composite and the Coding, List Recall, List Recognition, and Figure Recall subtests. However, boot-strapped mediation models only showed a mediating effect of the spectral slope on RBANS composite and the Coding subtest.ConclusionsThe resting slope of the EEG power spectrum mediated age-related differences in cognition in the current study, which replicates prior work and is consistent with the neural noise hypothesis of aging. In extending this work, it was shown that these effects are strongest in tasks requiring speeded processing and/or executive functions, whereas this effect was weaker (to absent) for delayed memory, even though age-related differences were present. This pilot study warrants further exploration of the EEG power spectrum in age-related cognitive decline.


1996 ◽  
Vol 23 (2) ◽  
pp. 139-151 ◽  
Author(s):  
Mario Signorino ◽  
Eugenio Pucci ◽  
Enrico Brizioli ◽  
Gabriella Cacchio ◽  
Giuseppe Nolfe ◽  
...  

2020 ◽  
Vol 10 (4) ◽  
pp. 199 ◽  
Author(s):  
Carolina Diaz-Piedra ◽  
María Victoria Sebastián ◽  
Leandro L. Di Stasi

We aimed to evaluate the effects of mental workload variations, as a function of the road environment, on the brain activity of army drivers performing combat and non-combat scenarios in a light multirole vehicle dynamic simulator. Forty-one non-commissioned officers completed three standardized driving exercises with different terrain complexities (low, medium, and high) while we recorded their electroencephalographic (EEG) activity. We focused on variations in the theta EEG power spectrum, a well-known index of mental workload. We also assessed performance and subjective ratings of task load. The theta EEG power spectrum in the frontal, temporal, and occipital areas were higher during the most complex scenarios. Performance (number of engine stops) and subjective data supported these findings. Our findings strengthen previous results found in civilians on the relationship between driver mental workload and the theta EEG power spectrum. This suggests that EEG activity can give relevant insight into mental workload variations in an objective, unbiased fashion, even during real training and/or operations. The continuous monitoring of the warfighter not only allows instantaneous detection of over/underload but also might provide online feedback to the system (either automated equipment or the crew) to take countermeasures and prevent fatal errors.


2009 ◽  
Vol 185 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Vasileios Kokkinos ◽  
Andreas Koupparis ◽  
Maria L. Stavrinou ◽  
George K. Kostopoulos

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