Electroencephalography (EEG) is a non-invasive neuroimaging technique that measures the electrical activity of the brain through electrodes placed on the scalp. EEG can be used for various research applications, including studying brain function and activity, identifying neurological disorders, and investigating the effects of drugs or other interventions on brain activity. EEG is particularly useful for studying brain activity in real-time and identifying the timing and location of brain activity associated with specific cognitive processes or behaviors. It can also be used in clinical settings to diagnose and monitor neurological disorders such as epilepsy, sleep disorders, and traumatic brain injuries. Additionally, EEG can be used to investigate the effects of various interventions, such as cognitive training or neurofeedback, on brain activity and function.
For surfers, catching the perfect wave can induce a state of pure ecstasy known as the “stoke”. But what’s happening in the brain during this ultimate ride? Wearable Sensing created a custom dry EEG system that measures brainwaves during surfing. They partnered with Red Bull to use this technology on professional surfers to uncover the neurophysiological aspects of surfing. The dry EEG system is worn on the head like a swimming cap, and it allows for the measurement of brain activity in real-time during surfing. By studying the brainwaves of surfers during their best rides, researchers hope to understand what goes on in the brain during moments of flow and peak performance, and ultimately unlock the secrets to achieving that elusive state of “stoke”.
In this study, wearable sensors and machine learning-based algorithms were used to predict hypoxia in-flight. The group used Wearable Sensing’s dry-EEG technology to collect sensor data from 85 participants during a two-phase study. Participants wore aviation flight masks, which regulated their oxygen intake while performing cognitive tests and simulated flying tasks. EEG data was collected and analyzed using principal component analysis and machine learning algorithms, including Naïve Bayes, decision tree, random forest, and neural network algorithms, to classify the data as normal or hypoxic. The results showed high sensitivity and specificity, indicating potential for developing a real-time, in-flight hypoxia detection system.
This paper proposes a protocol for assessing stress using wearable sensing technology, including Electroencephalography (EEG), Electrocardiography (ECG), and the Perceived Stress Scale, in combination with a Virtual Reality phobia induction setting. Wearable Sensing’s dry EEG technology is used to measure brain activity and investigate functional brain connectivity associated with stress. The proposed protocol can be expanded with the incorporation of machine learning algorithms for automatic stress level classification.
Ocay, Don Daniel; Teel, Elizabeth F; Luo, Owen D; Savignac, Chloé; Mahdid, Yacine; Blain-Moraes, Stefanie; Ferland, Catherine E
Electroencephalographic characteristics of children and adolescents with chronic musculoskeletal pain Journal Article
In: PAIN Reports, vol. 7, no. 6, pp. e1054, 2022.
@article{ocay2022electroencephalographic,
title = {Electroencephalographic characteristics of children and adolescents with chronic musculoskeletal pain},
author = {Don Daniel Ocay and Elizabeth F Teel and Owen D Luo and Chloé Savignac and Yacine Mahdid and Stefanie Blain-Moraes and Catherine E Ferland},
url = {https://journals.lww.com/painrpts/Fulltext/2022/12000/Electroencephalographic_characteristics_of.17.aspx},
year = {2022},
date = {2022-12-01},
urldate = {2022-12-01},
journal = {PAIN Reports},
volume = {7},
number = {6},
pages = {e1054},
publisher = {LWW},
abstract = {Introduction:
The pathophysiology of pediatric musculoskeletal (MSK) pain is unclear, contributing to persistent challenges to its management.
Objectives:
This study hypothesizes that children and adolescents with chronic MSK pain (CPs) will show differences in electroencephalography (EEG) features at rest and during thermal pain modalities when compared with age-matched controls.
Methods:
One hundred forty-two CP patients and 45 age-matched healthy controls (HCs) underwent a standardized thermal tonic heat and cold stimulations, while a 21-electrode headset collected EEG data. Cohorts were compared with respect to their EEG features of spectral power, peak frequency, permutation entropy, weight phase-lag index, directed phase-lag index, and node degree at 4 frequency bands, namely, delta (1–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), and beta (13–30 Hz), at rest and during the thermal conditions.
Results:
At rest, CPs showed increased global delta (P = 0.0493) and beta (P = 0.0002) power in comparison with HCs. These findings provide further impetus for the investigation and prevention of long-lasting developmental sequalae of early life chronic pain processes. Although no cohort differences in pain intensity scores were found during the thermal pain modalities, CPs and HCs showed significant difference in changes in EEG spectral power, peak frequency, permutation entropy, and network functional connectivity at specific frequency bands (P < 0.05) during the tonic heat and cold stimulations.
Conclusion:
This suggests that EEG can characterize subtle differences in heat and cold pain sensitivity in CPs. The complementation of EEG and evoked pain in the clinical assessment of pediatric chronic MSK pain can better detect underlying pain mechanisms and changes in pain sensitivity.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chang, Won Kee; Lim, Hyunmi; Park, Seo Hyun; Lim, Chaiyoung; Paik, Nam-Jong; Kim, Won-Seok; Ku, Jeonghun
Effect of Immersive Virtual Mirror Visual Feedback on Mu Suppression and Coherence in Motor and Parietal Cortex in Stroke Journal Article
In: 2022.
@article{chang2022effect,
title = {Effect of Immersive Virtual Mirror Visual Feedback on Mu Suppression and Coherence in Motor and Parietal Cortex in Stroke},
author = {Won Kee Chang and Hyunmi Lim and Seo Hyun Park and Chaiyoung Lim and Nam-Jong Paik and Won-Seok Kim and Jeonghun Ku},
doi = {https://doi.org/10.21203/rs.3.rs-2253842/v1},
year = {2022},
date = {2022-11-11},
urldate = {2022-01-01},
abstract = {Background: This study aimed to investigate the activation pattern of the motor cortex (M1) and parietal cortex during immersive virtual reality (VR)-based mirror visual feedback (MVF) of the upper limb in patients with chronic stroke. Methods: Fourteen patients with chronic stroke with severe upper limb hemiparesis (Brunnstrom stage of hand 1-3) and 21 healthy controls were included. The participants performed wrist extension tasks with their unaffected wrists (or the dominant side in controls). In the MVF condition, the movement of the affected hand was synchronized with that of the unaffected hand. In contrast, only the movement of the unaffected hand was shown in the no-MVF condition. Electroencephalography was obtained during experiments with two conditions (MVF vs no-MVF). Mu suppression in the bilateral M1 and parietal cortex and mu coherence between the ipsilateral M1 and parietal cortex in each hemisphere and interhemispheric M1 were used for analyses. Results: In patients with stroke, MVF induced significant mu suppression in both the ipsilesional M1 and parietal lobes (p=0.006 and p=0.009, respectively), while significant mu suppression was observed in the bilateral M1 (p=0.003 for ipsilesional and p=0.041 for contralesional M1, respectively) and contralesional (contralateral hemisphere to the moving hand) parietal lobes in the healthy controls (p=0.036). The ipsilesional mu coherence between the M1 and parietal cortex in patients with stroke was stronger than that in controls regardless of MVF condition (p<0.001), while mu coherence between interhemispheric M1 cortices was significantly weaker in patients with stroke (p=0.032). Conclusion: In patients with stroke, MVF using immersive VR induces mu suppression in the ipsilesional M1 and parietal lobe. Our findings provide evidence of the neural mechanism of MVF using immersive VR and support its application in patients with stroke with severe hemiparesis.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chanpornpakdi, Ingon; Noda, Motoi; Tanaka, Toshihisa; Harpaz, Yuval; Geva, Amir B
Clustering of advertising images using electroencephalogram Conference
Proceedings of 2022 APSIPA Annual Summit and Conference, 2022.
@conference{chanpornpakdiclustering,
title = {Clustering of advertising images using electroencephalogram},
author = {Ingon Chanpornpakdi and Motoi Noda and Toshihisa Tanaka and Yuval Harpaz and Amir B Geva},
url = {http://www.apsipa.org/proceedings/2022/APSIPA%202022/TuAM1-8/1570840214.pdf},
year = {2022},
date = {2022-11-07},
booktitle = {Proceedings of 2022 APSIPA Annual Summit and Conference},
abstract = {Packaging and advertisements of brands affect customers’ decision-making on purchasing products and could lead to business loss. Hence, neuromarketing, the application of neuroscience in the marketing field, is introduced aiming to understand customers’ cognitive functions toward advertisements or products. Our study focused on identifying how the brain respond to different types of advertising image of the same brand were perceived using electroencephalogram (EEG). We performed an experiment using 33 different Coca-Cola advertising images in RSVP (rapid serial visual presentation) task on 23 participants. A seven channels EEG dry headset was used to record the visual event-related potential (ERP), specifically, the positive peak found at 300 to 700 ms after image onset; P300, to compare the perception response. We applied k-means and hierarchical clustering to the obtained EEG data, and achieved the best clustering for three clusters, yielding different P300 amplitudes and latencies. The typical Coca-Cola ads, red color with Cola-cola text on the ads, induced a faster and larger response, implying better perception than the unconventional or black color ads. We conclude that ERP clustering may be a useful tool for neuromarketing. However, the relationship between the EEG-based cluster and the image-based cluster should be further investigated to confirm the suggestion.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Rustamov, Nabi; Wilson, Elizabeth A; Fogarty, Alexandra E; Crock, Lara W; Leuthardt, Eric C; Haroutounian, Simon
Relief of chronic pain associated with increase in midline frontal theta power Journal Article
In: Pain Reports, vol. 7, no. 6, 2022.
@article{rustamov2022relief,
title = {Relief of chronic pain associated with increase in midline frontal theta power},
author = {Nabi Rustamov and Elizabeth A Wilson and Alexandra E Fogarty and Lara W Crock and Eric C Leuthardt and Simon Haroutounian},
doi = {10.1097/PR9.0000000000001040},
year = {2022},
date = {2022-10-10},
urldate = {2022-01-01},
journal = {Pain Reports},
volume = {7},
number = {6},
publisher = {Wolters Kluwer Health},
abstract = {Introduction:
There is a need to identify objective cortical electrophysiological correlates for pain relief that could potentially contribute to a better pain management. However, the field of developing brain biomarkers for pain relief is still largely underexplored.
Objectives:
The objective of this study was to investigate cortical electrophysiological correlates associated with relief from chronic pain. Those features of pain relief could serve as potential targets for novel therapeutic interventions to treat pain.
Methods:
In 12 patients with chronic pain in the upper or lower extremity undergoing a clinically indicated nerve block procedure, brain activity was recorded by means of electroencephalogram before and 30 minutes after the nerve block procedure. To determine the specific cortical electrophysiological correlates of relief from chronic pain, 12 healthy participants undergoing cold-pressor test to induce experimental acute pain were used as a control group. The data were analyzed to characterize power spectral density patterns of pain relief and identify their source generators at cortical level.
Results:
Chronic pain relief was associated with significant delta, theta, and alpha power increase at the frontal area. However, only midfrontal theta power increase showed significant positive correlation with magnitude of reduction in pain intensity. The sources of theta power rebound were located in the left dorsolateral prefrontal cortex (DLPFC) and midline frontal cortex. Furthermore, theta power increase in the midline frontal cortex was significantly higher with chronic vs acute pain relief.
Conclusion:
These findings may provide basis for targeting chronic pain relief via modulation of the midline frontal theta oscillations.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Woo, Hee-Soon; Song, Chiang-Soon
Effects of Low Visual Acuity Simulations on Eye-Hand Coordination and Brainwaves in Healthy Adults Journal Article
In: Physical Therapy Rehabilitation Science, vol. 11, no. 3, pp. 296–303, 2022.
@article{woo2022effects,
title = {Effects of Low Visual Acuity Simulations on Eye-Hand Coordination and Brainwaves in Healthy Adults},
author = {Hee-Soon Woo and Chiang-Soon Song},
doi = {https://doi.org/10.14474/ptrs.2022.11.3.296},
year = {2022},
date = {2022-09-30},
urldate = {2022-01-01},
journal = {Physical Therapy Rehabilitation Science},
volume = {11},
number = {3},
pages = {296--303},
publisher = {Korean Academy of Physical Therapy Rehabilitation Science},
abstract = {Objective: In general, macular degeneration, cataracts and glaucoma generally cause visual injury in clinical settings. This study aimed to examine the effects of low visual acuity simulations on hand manual dexterity function and brainwaves in healthy young adults.
Design: Cross-sectional study design
Methods: This study was an observational, cross-sectional study. Seventy healthy young adults participated in this study. To evaluate the effects of low visual acuity simulations on hand function and brain waves, this study involved four different visual conditions including (1) normal vision, (2) simulated cataracts, (3) simulated glaucoma, and (4) simulated macular degeneration. The hand function was measured to use the Minnesota manual dexterity test (MMDT), and the brainwaves was also measured to use the electroencephalography.
Results: In hand function, placing and turning performance on the MMDT in the normal visual condition was significantly different than that in the cataract and macular degeneration conditions (p<0.05), and the placing performance was significantly differred in the normal condition than that in the simulated glaucoma. However, turning was not significantly different in the normal condition than that in the simulated glaucoma. The alpha, beta, and gamma waves did not significantly differ among the four visual conditions (p>0.05).
Conclusions: The results suggest that limited visual information negatively affects the ability to perform tasks requiring arm-hand dexterity and eye-hand coordination. However, the effectiveness of low visual acuity on the brainwaves should be further studied for rehabilitative evidence of visual impairment.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Miltiadous, Andreas; Aspiotis, Vasileios; Sakkas, Konstantinos; Giannakeas, Nikolaos; Glavas, Euripidis; Tzallas, Alexandros T
An experimental protocol for exploration of stress in an immersive VR scenario with EEG Conference
2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), IEEE 2022.
@conference{miltiadous2022experimental,
title = {An experimental protocol for exploration of stress in an immersive VR scenario with EEG},
author = {Andreas Miltiadous and Vasileios Aspiotis and Konstantinos Sakkas and Nikolaos Giannakeas and Euripidis Glavas and Alexandros T Tzallas},
doi = {10.1109/SEEDA-CECNSM57760.2022.9932987},
year = {2022},
date = {2022-09-23},
urldate = {2022-01-01},
booktitle = {2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)},
pages = {1--5},
organization = {IEEE},
abstract = {Stress is a subject always relevant to scientific research due to the numerous implications in human life. Typical biomarkers used in the physiological evaluation of stress include Electrocardiography, cortisol levels, galvanic skin response and other. Recently, one less widely used instrument for the assessment of stress that has been re-emerged due to advancements in computational power and machine learning techniques, is Electroencephalography. Moreover, as Virtual Reality HMDs are being rapidly adopted by the research community it becomes apparent that leveraging the offered advantages of VR for the exploration of stress can lead to novel controlable and reproducable experimental procedures. In this paper we combine EEG, ECG and the Perceived Stress Scale with a Virtual Reality phobia induction setting, to propose a protocol for assessing stress. The suggested protocol can be used for functional brain connectivity investigation and thus the evaluation of stress while it and can be expanded via the incorporation of machine learning algorithms for automatic stress level classification.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Rominger, Christian; Gubler, Dani`ele A; Makowski, Lisa M; Troche, Stefan J
In: International journal of psychophysiology, 2022.
@article{rominger2022more,
title = {More creative ideas are associated with increased right posterior power and frontal-parietal/occipital coupling in the upper alpha band: A within-subjects study},
author = {Christian Rominger and Dani`ele A Gubler and Lisa M Makowski and Stefan J Troche},
doi = {https://doi.org/10.1016/j.ijpsycho.2022.08.012},
year = {2022},
date = {2022-09-01},
urldate = {2022-01-01},
journal = {International journal of psychophysiology},
publisher = {Elsevier},
abstract = {The neurophysiological investigation of creative idea generation is a growing research area. EEG studies congruently reported the sensitivity of upper alpha power (10-12 Hz) for the creative ideation process and its outcome. However, the majority of studies were between-subject design studies and research directly comparing the neurophysiological activation pattern when generating more and less creative ideas within a person are rare. Therefore, the present study was specifically focused on investigating brain activation patterns associated with the generation of more vs. less creative ideas. We applied an alternate uses task (AU-task; i.e., finding original uses for everyday objects such as a brick) in a sample of 74 participants and recorded the brain activation during the AU-task and reference period. A portable EEG system with 21 dry electrodes arranged in the international 10–20 system and linked ear as reference was used. We found a higher increase of upper alpha power during creative ideation (relative to reference period, i.e., task-related power, TRP) over right posterior sites when people generated more compared to less creative ideas. This was accompanied by an increase of functional coupling (i.e., task-related coherence increase) between frontal and parietal/occipital sites, which suggests higher internal attention and more control over sensory processes. Taken together, these findings complement the existing creativity research literature and indicate the importance of alpha power for the creative ideation process also within people.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Dong, Xian; Wu, Yeyu; Tu, Zhijun; Cao, Bin; Li, Xianting; Yang, Zixu; Liu, Fei; Xing, Zheli
Influence of ambient temperature on personnel thermal comfort and working efficiency under isolation condition of underground engineering Journal Article
In: Energy and Buildings, pp. 112438, 2022.
@article{dong2022influence,
title = {Influence of ambient temperature on personnel thermal comfort and working efficiency under isolation condition of underground engineering},
author = {Xian Dong and Yeyu Wu and Zhijun Tu and Bin Cao and Xianting Li and Zixu Yang and Fei Liu and Zheli Xing},
doi = {https://doi.org/10.1016/j.enbuild.2022.112438},
year = {2022},
date = {2022-08-29},
urldate = {2022-01-01},
journal = {Energy and Buildings},
pages = {112438},
publisher = {Elsevier},
abstract = {When attacked by weapons of mass destruction, underground engineering will operate under isolation condition, which results in the increase of temperature, humidity, and CO2 concentration. At present, there are few studies on personnel thermal comfort and working efficiency in underground engineering, especially under isolation condition. To improve the personnel thermal comfort and working efficiency under such condition, the influence of environmental temperature changes on human thermal comfort and working efficiency was investigated through a combination of subjective and objective methods. A subjective questionnaire and working efficiency test were conducted on the subjects in the artificial climate chamber, and synchronously monitored electrocardiography (ECG), electroencephalography (EEG), and other physiological parameters of the subjects were recorded, when isolation condition was achieved in the artificial climate chamber. The results show that: (1) the human neutral temperature is 24.2 °C, and thermal comfort zone is [23 °C, 25.5 °C] for isolation condition; (2) the high working efficiency area is [27.3 °C, 28.8 °C] for isolation condition; (3) the average of the TSV corresponding to the highest working efficiency point is 1.3 under isolation condition; (4) from the correlation analysis of working efficiency and personnel physiological indicators, personnel EEG index and task performance are significantly related, and the ECG index and task performance are not relevant for subjects performing brain work under isolation conditions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hu, Yuxia; Wang, Yufei; Zhang, Rui; Hu, Yubo; Fang, Mingzhu; Li, Zhe; Shi, Li; Zhang, Yankun; Zhang, Zhong; Gao, Jinfeng; others,
Assessing stroke rehabilitation degree based on quantitative EEG index and nonlinear parameters Journal Article
In: Cognitive Neurodynamics, pp. 1–9, 2022.
@article{hu2022assessing,
title = {Assessing stroke rehabilitation degree based on quantitative EEG index and nonlinear parameters},
author = {Yuxia Hu and Yufei Wang and Rui Zhang and Yubo Hu and Mingzhu Fang and Zhe Li and Li Shi and Yankun Zhang and Zhong Zhang and Jinfeng Gao and others},
url = {https://link.springer.com/article/10.1007/s11571-022-09849-4},
year = {2022},
date = {2022-08-06},
urldate = {2022-01-01},
journal = {Cognitive Neurodynamics},
pages = {1--9},
publisher = {Springer},
abstract = {The assessment of motor function is critical to the rehabilitation of stroke patients. However, commonly used evaluation methods are based on behavior scoring, which lacks neurological indicators that directly reflect the motor function of the brain. The objective of this study was to investigate whether resting-state EEG indicators could improve stroke rehabilitation evaluation. We recruited 68 participants and recorded their resting-state EEG data. According to Brunnstrom stage, the participants were divided into three groups: severe, moderate, and mild. Ten quantitative electroencephalographic (QEEG) and five non-linear parameters of resting-state EEG were calculated for further analysis. Statistical tests were performed, and the genetic algorithm-support vector machine was used to select the best feature combination for classification. We found the QEEG parameters show significant differences in Delta, Alpha1, Alpha2, DAR, and DTABR (P < 0.05) among the three groups. Regarding nonlinear parameters, ApEn, SampEn, Lz, and C0 showed significant differences (P < 0.05). The optimal feature classification combination accuracy rate reached 85.3%. Our research shows that resting-state EEG indicators could be used for stroke rehabilitation evaluation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Won, Kyungho; Kim, Heegyu; Gwon, Daeun; Ahn, Minkyu; Nam, Chang S; Jun, Sung Chan
Can Vibrotactile Stimulation and tDCS Help Inefficient BCI Users? Journal Article
In: 2022.
@article{won2022can,
title = {Can Vibrotactile Stimulation and tDCS Help Inefficient BCI Users?},
author = {Kyungho Won and Heegyu Kim and Daeun Gwon and Minkyu Ahn and Chang S Nam and Sung Chan Jun},
doi = {https://doi.org/10.21203/rs.3.rs-1849849/v1},
year = {2022},
date = {2022-07-22},
urldate = {2022-07-22},
abstract = {Brain-computer interface (BCI) has helped people by enabling them to control a computer or machine through brain activity without actual body movement. Despite this advantage, BCI cannot be used widely because some people cannot achieve controllable performance. To solve this problem, researchers have proposed stimulation methods to modulate relevant brain activity to improve BCI performance. However, multiple studies have reported mixed results following stimulation, and comparative study of different stimulation modalities has been overlooked. Accordingly, this comparative study was designed to investigate vibrotactile stimulation and transcranial direct current stimulation’s (tDCS) effects on brain activity modulation and motor imagery BCI performance among inefficient BCI users. We recruited 44 subjects and divided them into sham, vibrotactile stimulation, and tDCS groups, and low performers were selected from each stimulation group. We found that the BCI performance of low performers in the vibrotactile stimulation group increased significantly by 9.13% (p=0.0053), and while the tDCS group subjects’ performance increased by 5.13%, it was not significant. In contrast, sham group subjects showed no increased performance. In addition to BCI performance, pre-stimulus alpha band power and the phase locking value (PLVs) averaged over sensory motor areas showed significant increases in low performers following stimulation in the vibrotactile stimulation and tDCS groups, while sham stimulation group subjects and high performers across all groups showed no significant stimulation effects. Our findings suggest that stimulation effects may differ depending upon BCI efficiency, and inefficient BCI users have greater plasticity than efficient BCI users.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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