@article{halford2016comparison,

title = {Comparison of a Novel Dry Electrode Headset to Standard Routine EEG in Veterans},

author = {Jonathan J Halford and Robert J Schalkoff and Kevin E Satterfield and Gabriel U Martz and Ekrem Kutluay and Chad G Waters and Brian C Dean},

doi = {10.1097/WNP.0000000000000284},

year  = {2016},

date = {2016-12-01},

journal = {Journal of Clinical Neurophysiology},

volume = {33},

number = {6},

pages = {530--537},

publisher = {LWW},

abstract = {Objective: 

This purpose of this study was to evaluate the usefulness of a prototype battery-powered dry electrode system (DES) EEG recording headset in Veteran patients by comparing it with standard EEG.



Methods: 

Twenty-one Veterans had both a standard electrode system recording and DES recording in nine different patient states at the same encounter. Setup time, patient comfort, and subject preference were measured. Three experts performed technical quality rating of each EEG recording in a blinded fashion using the web-based EEGnet system. Power spectra were compared between DES and standard electrode system recordings.



Results: 

The average time for DES setup was 5.7 minutes versus 21.1 minutes for standard electrode system. Subjects reported that the DES was more comfortable during setup. Most subjects (15 of 21) preferred the DES. On a five-point scale (1—best quality to 5—worst quality), the technical quality of the standard electrode system recordings was significantly better than for the DES recordings, at 1.25 versus 2.41 (P < 0.0001). But experts found that 87% of the DES EEG segments were of sufficient technical quality to be interpretable.



Conclusions: 

This DES offers quick and easy setup and is well tolerated by subjects. Although the technical quality of DES recordings was less than standard EEG, most of the DES recordings were rated as interpretable by experts.



Significance: 

This DES, if improved, could be useful for a telemedicine approach to outpatient routine EEG recording within the Veterans Administration or other health system.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{arakaki2016exploring,

title = {Exploring neuroplasticity in acute mild traumatic brain injury},

author = {Xianghong Arakaki and Michael Shoga and Lianyang Li and George Zouridakis and Ramona Rostami and Robert Goldweber and Michael Harrington},

url = {https://faseb.onlinelibrary.wiley.com/doi/abs/10.1096/fasebj.30.1_supplement.992.4},

year  = {2016},

date = {2016-04-01},

journal = {The FASEB Journal},

volume = {30},

pages = {992--4},

publisher = {The Federation of American Societies for Experimental Biology},

abstract = {Objectives

To explore neuroplasticity in a longitudinal study of acute mild traumatic brain injury (mTBI).



Methods

We are using quantitative electroencephalography (qEEG) and magnetoencephalography (MEG) during the resting state and during cognitive brain stress to explore neuroplasticity in an ongoing acute mild traumatic brain injury research. Acute mTBI patients are recruited from the emergency department of Huntington Memorial Hospital in Pasadena, CA, and controls are non‐head‐trauma patients. Brain stress includes the N‐back (0‐back and 2‐back) working memory test and Color‐Word Interference Test (CWIT), administered using E‐prime software. Data were collected at three time points: within 1 week of injury, 14 days, and 30 days after injury. Behavioral as well as MEG and qEEG analysis are performed to compare the two groups.



Results

Resting MEG detected low frequency activity in the mTBI group, consistent with previous publications. N‐back, in particular during 2‐back trials, and CWIT, in particular during incongruent trials, both show initial executive function impairment that improved on later visits. Time frequency analysis suggested corresponding compromised brain activity.



Conclusions

The EEG/MEG recordings during rest and brain stress are objective and sensitive to neuroplasticity in acute mTBI, and could be potential objective mTBI markers.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kang2015investigation,

title = {Investigation of engagement of viewers in movie trailers using electroencephalography},

author = {Dayoon Kang and Jinsoo Kim and Dong-Pyo Jang and Yang Seok Cho and Sung-Phil Kim},

doi = {https://doi.org/10.1080/2326263X.2015.1103591},

year  = {2015},

date = {2015-11-10},

journal = {Brain-Computer Interfaces},

volume = {2},

number = {4},

pages = {193--201},

publisher = {Taylor & Francis},

abstract = {Brain-computer interfaces (BCIs) have been focused on providing direct communications to the disabled. Recently, BCI researchers have expanded BCI applications to non-medical uses and categorized them as active BCI, reactive BCI, and passive BCI. Neurocinematics, a new application of reactive BCIs, aims to understand viewers’ cognitive and affective responses to movies from neural activity, providing more objective information than traditional subjective self-reports. However, studies on analytical indices for neurocinematics have verified their indices by comparisons with self-reports. To overcome this contradictory issue, we proposed using an independent psychophysical index to evaluate a neural engagement index (NEI). We made use of the secondary task reaction time (STRT), which measures participants’ engagement in a primary task by their reaction time to a secondary task; here, responding to a tactile stimulus was the secondary task and watching a movie trailer was the primary task. NEI was developed as changes in the difference between frontal beta and alpha activity of EEG. We evaluated movie trailers using NEI, STRT, and self-reports and found a significant correlation between STRT and NEI across trailers but no correlation between any of the self-report results and STRT or NEI. Our results suggest that NEI developed for neurocinematics may conform well with more objective psychophysical assessments but not with subjective self-reports.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hairston2014usability,

title = {Usability of four commercially-oriented EEG systems},

author = {David W Hairston and Keith W Whitaker and Anthony J Ries and Jean M Vettel and Cortney J Bradford and Scott E Kerick and Kaleb McDowell},

url = {https://iopscience.iop.org/article/10.1088/1741-2560/11/4/046018/meta},

year  = {2014},

date = {2014-07-01},

journal = {Journal of Neural Engineering},

volume = {11},

number = {4},

pages = {046018},

publisher = {IOP Publishing},

abstract = {Electroencephalography (EEG) holds promise as a neuroimaging technology that can be used to understand how the human brain functions in real-world, operational settings while individuals move freely in perceptually-rich environments. In recent years, several EEG systems have been developed that aim to increase the usability of the neuroimaging technology in real-world settings. Here, the usability of three wireless EEG systems from different companies are compared to a conventional wired EEG system, BioSemi's ActiveTwo, which serves as an established laboratory-grade 'gold standard' baseline. The wireless systems compared include Advanced Brain Monitoring's B-Alert X10, Emotiv Systems' EPOC and the 2009 version of QUASAR's Dry Sensor Interface 10–20. The design of each wireless system is discussed in relation to its impact on the system's usability as a potential real-world neuroimaging system. Evaluations are based on having participants complete a series of cognitive tasks while wearing each of the EEG acquisition systems. This report focuses on the system design, usability factors and participant comfort issues that arise during the experimental sessions. In particular, the EEG systems are assessed on five design elements: adaptability of the system for differing head sizes, subject comfort and preference, variance in scalp locations for the recording electrodes, stability of the electrical connection between the scalp and electrode, and timing integration between the EEG system, the stimulus presentation computer and other external events.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{estepp2010evaluation,

title = {Evaluation of a Dry Electrode System for Electroencephalography: Applications for Psychophysiological Cognitive Workload Assessment},

author = {Justin R Estepp and Jason W Monnin and James C Christensen and Glenn F Wilson},

doi = {First Published September 1, 2010 Research Article https://doi.org/10.1177/154193121005400305},

year  = {2010},

date = {2010-09-01},

booktitle = {Proceedings of the Human Factors and Ergonomics Society Annual Meeting},

volume = {54},

number = {3},

pages = {210--214},

organization = {SAGE Publications Sage CA: Los Angeles, CA},

abstract = {Advances in state-of-the-art dry electrode technology have led to the development of a novel dry electrode system for electroencephalography (QUASAR, Inc.; San Diego, California, USA). While basic systems-level testing and comparison of this dry electrode system to conventional wet electrode systems has proved to be very favorable, very limited data has been collected that demonstrates the ability of QUASAR's dry electrode system to replicate results produced in more applied, dynamic testing environments that may be used for human factors applications. In this study, QUASAR's dry electrode headset was used in combination with traditional wet electrodes to determine the ability of the dry electrode system to accurately differentiate between varying levels of cognitive workload. Results show that the accuracy in cognitive workload assessment obtained with wet electrodes is comparable to that obtained with the dry electrodes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{antonenko2010using,

title = {Using Electroencephalography to Measure Cognitive Load},

author = {Pavlo Antonenko and Fred Paas and Roland Grabner and Tamara Van Gog},

doi = {dx.doi.org/10.1007/s10648-010-9130-y},

year  = {2010},

date = {2010-04-29},

journal = {Educational Psychology Review},

volume = {22},

number = {4},

pages = {425--438},

publisher = {Springer},

abstract = {Application of physiological methods, in particular electroencephalography (EEG), offers new and promising approaches to educational psychology research. EEG is identified as a physiological index that can serve as an online, continuous measure of cognitive load detecting subtle fluctuations in instantaneous load, which can help explain effects of instructional interventions when measures of overall cognitive load fail to reflect such differences in cognitive processing. This paper presents a review of seminal literature on the use of continuous EEG to measure cognitive load and describes two case studies on learning from hypertext and multimedia that employed EEG methodology to collect and analyze cognitive load data.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}