EEG Acquisition During the VR Administration of Resting State, Attention, and Image Recognition Tasks: A Feasibility Study

Rupp, Greg; Berka, Chris; Meghdadi, Amir H.; McConnell, Marissa; Storm, Mike; Ramsøy, Thomas Z.; Verma, Ajay

doi:10.1007/978-3-030-23528-4_35

Cited by 4 publications

(15 citation statements)

References 9 publications

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“…None of our participants reported tiredness and discomfort when undergoing data acquisition using the EEG/HTC Vive system combination. In contrast, Rupp et al (2019) mentioned discomfort and neck strain in some participants and attributed this to the VR HMD exerting pressure on the face due to its weight and bulk. The discomfort may have been due to the relatively longer experimental session (~ 50 min) in the investigation by Rupp et al (2019) versus our shorter session (~ 25 min).…”

Section: Discussionmentioning

confidence: 95%

“…In contrast, Rupp et al (2019) mentioned discomfort and neck strain in some participants and attributed this to the VR HMD exerting pressure on the face due to its weight and bulk. The discomfort may have been due to the relatively longer experimental session (~ 50 min) in the investigation by Rupp et al (2019) versus our shorter session (~ 25 min). Future studies should consider the weight of the VR HMD, and to use lighter weight VR HMDs for longer duration protocols to minimise participant discomfort.…”

Section: Discussionmentioning

confidence: 95%

“…EEG data were processed and analysed using EEGLAB (Delorme and Makeig 2004) and ERPLAB (Lopez-Calderon and Luck 2014) toolboxes running on MATLAB (Matlab R2015a, Mathworks, Inc.). Previous investigations of ERP components during VR HMD have used a range of high pass filters from 0.1 to 3 Hz (Harjunen et al 2017;Rupp et al 2019;Tauscher et al 2019;Du et al 2019;Lier et al 2020). In our study, we applied a 2nd order infinite impulse response (IIR) Butterworth filter for bandpass filtering to the continuous data with a lower cutoff of 0.5 Hz and higher cutoff of 30 Hz.…”

Section: Eeg Data Pre-processingmentioning

confidence: 99%

“…Recent advances in the technical specifications of virtual reality (VR) systems have enabled their utility in the study of cognitive load and function (Cipresso et al 2018;Luong et al 2019;Kourtesis et al 2019;Radianti et al 2020). Researchers have taken advantage of VR systems in a head-mounted display (VR HMD) configuration in their investigation of cognitive tasks as such systems offer the ability to create/control the visual surround and deliver complex stimuli (Harjunen et al 2017;Rupp et al 2019;Dey et al 2019;Tauscher et al 2019;Tremmel et al 2019). Electroencephalography (EEG) is a non-invasive method which conveniently acquires brain neuronal activity in human participants by recording voltage differences at the scalp surface in the millisecond range of temporal resolution (Gevins 1998).…”

Section: Introductionmentioning

confidence: 99%

“…Electroencephalography (EEG) is a non-invasive method which conveniently acquires brain neuronal activity in human participants by recording voltage differences at the scalp surface in the millisecond range of temporal resolution (Gevins 1998). Interestingly, studies have shown the feasibility of combining VR HMD with EEG to acquire brain responses to various cognitive tasks: visual oddball (Tauscher et al 2019), n-back working memory (Dey et al 2019;Luong et al 2019;Tremmel et al 2019), 3-choice vigilance and image recognition (Rupp et al 2019) and bimodal oddball (Harjunen et al 2017) tasks. In terms of signal-to-noise levels, Harjunen et al (2017) demonstrated that, despite their a priori concerns regarding signal interference from the VR HMD system upon EEG signals, there was no difference between the results obtained using a VR HMD system and a desktop computer screen (CS).…”

Section: Introductionmentioning

confidence: 99%

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A comparative experimental study of visual brain event-related potentials to a working memory task: virtual reality head-mounted display versus a desktop computer screen

et al. 2021

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Virtual reality head mounted display (VR HMD) systems are increasingly utilised in combination with electroencephalography (EEG) in the experimental study of cognitive tasks. The aim of our investigation was to determine the similarities/differences between VR HMD and the computer screen (CS) in response to an n-back working memory task by comparing visual electrophysiological event-related potential (ERP) waveforms (N1/P1/P3 components). The same protocol was undertaken for VR HMD and CS with participants wearing the same EEG headcap. ERP waveforms obtained with the VR HMD environment followed a similar time course to those acquired in CS. The P3 mean and peak amplitudes obtained in VR HMD were not significantly different to those obtained in CS. In contrast, the N1 component was significantly higher in mean and peak amplitudes for the VR HMD environment compared to CS at the frontal electrodes. Significantly higher P1 mean and peak amplitudes were found at the occipital region compared to the temporal for VR HMD. Our results show that successful acquisition of ERP components to a working memory task is achievable by combining VR HMD with EEG. In addition, the higher amplitude N1/P1 components seen in VR HMD indicates the potential utility of this VR modality in the investigation of early ERPs. In conclusion, the combination of VR HMD with EEG/ERP would be a useful approach to advance the study of cognitive function in experimental brain research.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 95%

Section: Eeg Data Pre-processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A comparative experimental study of visual brain event-related potentials to a working memory task: virtual reality head-mounted display versus a desktop computer screen

et al. 2021

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P‐4.7: Development Status and Application of the Integration of VR and EEG

Zhang,

Li,

Wang

2024

Symp Digest of Tech Papers

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Virtual Reality (VR) technology and Electroencephalography (EEG) have both made significant advancements in recent years, offering new possibilities for the integration of the two technologies. The combination of virtual reality (VR) and electroencephalography (EEG) technology not only allows users to feel a more immersive and personalized experience in a virtual environment, but also allows developers or researchers to obtain EEG data that is difficult to obtain in the real world. The integration of EEG and VR technology has been broadly employed in various fields, such as medical, education, scientific research, etc.

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