Neural correlates of action video game experience in a visuospatial working memory task

Hazarika, Jupitara; Dasgupta, Rajdeep

doi:10.1007/s00521-018-3713-9

Cited by 17 publications

(15 citation statements)

References 38 publications

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“…But, the frequency range of lower, medium and upper alpha bands may drastically vary depending on data recording and analysis protocols. Hazarika et al (2018) and Hazarika and Dasgupta (2020) have already provided some evidence that AVGs might exhibit differences in EEG alpha oscillatory activity as they found that AVGs showed larger relative EEG alpha power values than NVGs while performing a Corsi block-tapping task and the Bivalent Shape Task. But their results should be considered with caution as their procedures to estimate participant's relative EEG alpha power values was problematic.…”

Section: Introductionmentioning

confidence: 99%

“…But their results should be considered with caution as their procedures to estimate participant’s relative EEG alpha power values was problematic. One of the main issues here may be that each participant’s relative EEG alpha power value was estimated based on trials of different lengths, while performing the Corsi block-tapping task since the length of a trial depended on the individual performance of a participant ( Hazarika and Dasgupta, 2020 ). Thus, the estimates are hardly comparable between subjects and groups.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the estimates are hardly comparable between subjects and groups. On top of that, it appeared that Hazarika et al (2018) and Hazarika and Dasgupta (2020) did not control for potential contaminations by stimulus exposure duration, time on task or task requirements, though EEG alpha power was shown to decay over time, to be modulated by time on task and to be highly task-specific ( Klimesch et al, 2011 ; Benwell et al, 2019 ). Furthermore, they reported relative EEG alpha power estimates that were quite broad (7.8–15.6 Hz).…”

Section: Introductionmentioning

confidence: 99%

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Faster Visual Information Processing in Video Gamers Is Associated With EEG Alpha Amplitude Modulation

et al. 2020

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Video gaming, specifically action video gaming, seems to improve a range of cognitive functions. The basis for these improvements may be attentional control in conjunction with reward-related learning to amplify the execution of goal-relevant actions while suppressing goal-irrelevant actions. Given that EEG alpha power reflects inhibitory processing, a core component of attentional control, it might represent the electrophysiological substrate of cognitive improvement in video gaming. The aim of this study was to test whether non-video gamers (NVGs), non-action video gamers (NAVGs) and action video gamers (AVGs) exhibit differences in EEG alpha power, and whether this might account for differences in visual information processing as operationalized by the theory of visual attention (TVA). Forty male volunteers performed a visual short-term memory paradigm where they memorized shape stimuli depicted on circular stimulus displays at six different exposure durations while their EEGs were recorded. Accuracy data was analyzed using TVA-algorithms. There was a positive correlation between the extent of post-stimulus EEG alpha power attenuation (10–12 Hz) and speed of information processing across all participants. Moreover, both EEG alpha power attenuation and speed of information processing were modulated by an interaction between group affiliation and time on task, indicating that video gamers showed larger EEG alpha power attenuations and faster information processing over time than NVGs – with AVGs displaying the largest increase. An additional regression analysis affirmed this observation. From this we concluded that EEG alpha power might be a promising neural substrate for explaining cognitive improvement in video gaming.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Faster Visual Information Processing in Video Gamers Is Associated With EEG Alpha Amplitude Modulation

et al. 2020

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“…This creates an opportunity to obtain EEG recordings in a wider range of contexts outside of the lab including everyday life situations, at home recordings, motor and sports research (Hinrichs et al, 2020;Oliveira et al, 2016;Radüntz, 2018). Unsurprisingly, these systems are already being used for cognitive research, for example on visuospatial working memory (Hazarika & Dasgupta, 2018) and attention processes (Raj, Hazarika, & Hazra, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…This creates an opportunity to obtain EEG recordings in a wider range of contexts outside of the lab including everyday life situations, at home recordings, motor and sports research (Hinrichs et al, 2020;Oliveira et al, 2016;Radüntz, 2018). Taken together, waterbased electrode EEG systems may seem very attractive for a wide range of research designs in neuroscience (examples of recent studies: Hazarika and Dasgupta, 2018;Raj et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

In search for the most optimal EEG method: A practical evaluation of a water-based electrode EEG system

Topor

Opitz

Dean

2021

Preprint

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The study assessed a new mobile electroencephalography (EEG) system with water-based electrodes for its applicability in time-frequency and event related potential research. It was compared to a standard gel-based wired system. EEG was recorded on two occasions as participants completed the flanker task, first with the gel-based system followed by the water-based system. Technical and practical considerations for the application of the new water-based system are reported based on the participant and experimenter experiences. Empirical comparisons focused on EEG data noise levels, frequency power across four bands including theta, alpha, low beta and high beta and P300 and ERN event related potential components. The water-based system registered more noise compared to the gel-based system which resulted in increased loss of data during artefact rejection. Signal to noise ratio was significantly lower for the water-based system in the parietal channels which impacted the observed parietal beta power. It also led to a shift in topography of the maximal P300 activity from parietal to frontal regions. It is also evident, that the water-based system may be prone to slow drift noise which may affect the reliability and consistency of low frequency band analyses. Considerations for the use of this specific system for time-frequency and event related potentials are discussed.

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Electroencephalography based imagined alphabets classification using spatial and time‐domain features

Agarwal

Kumar

2021

Int J Imaging Syst Tech

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Imagined speech is a neuro-paradigm that can provide an alternative communication channel for patients in a locked-in syndrome state. We have performed an experiment in which a 32 channel industry-standard electroencephalography (EEG) device was used to record 26 imagined English alphabets from 13 subjects. We denoised the imagined signals by discrete wavelet transform and extracted the spatial filters by common spatial pattern method, and time-domain features. Spatial features when classified with linear support vector machine, and time-domain features classified by random forest gave the best results. Alpha, beta, and theta bands could classify imagined alphabets better than other bands and had average classification accuracies of 88.59%, 87.39%, and 88.97%, respectively by using spatial features and 81.88%, 76.72%, and 79.25%, respectively, by time-domain features. The grand average accuracies of all the 26 alphabets in six EEG frequency bands was found to be 77.97% in a subject independent binary classification framework.

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Neural correlates of action video game experience in a visuospatial working memory task

Cited by 17 publications

References 38 publications

Faster Visual Information Processing in Video Gamers Is Associated With EEG Alpha Amplitude Modulation

Faster Visual Information Processing in Video Gamers Is Associated With EEG Alpha Amplitude Modulation

In search for the most optimal EEG method: A practical evaluation of a water-based electrode EEG system

Electroencephalography based imagined alphabets classification using spatial and time‐domain features

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