Neurophysiological Biomarkers Parallel Glucose Hypometabolism in Alzheimer’s Disease Patients.Waninger, S. et al. (2019). Clinical Trials on Alzheimer’s Disease, San Diego, CA.
Correlation of EEG Biomarkers of Cannabis with Measured Driving Impairment. Brown, T. et al. (2019). Traffic Injury Prevention, 1-3.
Resting State EEG and Event-Related Potentials: Utility as Biomarkers for Mild Cognitive Impairment and Alzheimer’s Disease.Waninger, S. et al. (2019). CNS Summit, Boca Raton, FL.
EEG Analytics: Benefits and Challenges of Data Driven EEG Biomarkers for Neurodegenerative Diseases.Meghdadi, A. et al. (2019) IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, 1280-1285.
EEG Biomarkers For Frontotemporal Dementia Differentiate Between Healthy Control And Alzheimer’s Disease.Waninger, S. et al. (2018). Society For Neuroscience, San Diego, CA.
EEG Signatures Associated with Resting State, Memory and Attention As Potential Reliable Biomarkers of Cognitive Decline in Alzheimer's Disease. Meghdadi, A. et al. (2019). Alzheimer's & Dementia. 15. P1387-P1388.
EEG Acquisition During the VR Administration of Resting State, Attention, and Image Recognition Tasks: A Feasibility Study. Rupp, G. et al. (2019). HCI International, Orlando, FL, 250-258.
EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers.Rupp, G. et al. (2019). Frontiers in Human Neuroscience.
A Consumer Neuroscience Study of Conscious and Subconscious Destination Preference.Ramsøy, T. Z. et al. (2019). Sci Rep 9, 1–8.
An Approach to Estimate the Activation of Different Bands of EEG Signal Using Classified Songs.Haque, C. A. et al. (2019). International Conference on Electrical, Computer and Communication Engineering, Cox's Bazar, Bangladesh.
An EEG based Quantitative Analysis of Absorbed Meditative State.Gaurav, G. et al. (2019). 9th International IEEE/EMBS Conference on Neural Engineering, San Francisco, CA, 57–60.
Brain Activity During Self-Paced Vs. Fixed Protocols in Graded Exercise Testing.Dykstra, R. M. et al. (2019). Exp Brain Res, 237(12), 3273–3279.
Brain-Computer Interfaces in Contemporary Art: A State of the Art and Taxonomy.Prpa, M. & Pasquier, P. (2019). in Brain Art, 65–115.
Translating Driving Research from Simulation to Interstate Driving with Realistic Traffic and Passenger Interactions.Vettel, J. et al. (2019). Advances in Human Factors in Simulation and Modeling, 780, 126–138.
Training Machines to Recognize Neural Correlates of Team and Team Member Uncertainty. Stevens, R. & Galloway, T. (2019). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63, 155–159.
Towards the Effective Intrinsic Mode Functions for Motor Imagery EEG Signal Classification.Rahman, M. et al. (2019). International Conference on Electrical, Computer and Communication Engineering, Chattagram, Bangladesh.
The Effects of Dynamic Workload and Experience on Commercially Available EEG Cognitive State Metrics in a High-Fidelity Air Traffic Control Environment.Bernhardt, K. A. et al. (2019). Applied Ergonomics, 77, 83–91.
The Assessment of Sencogi: A Visual Complexity Model Predicting Visual Fixations.Mele, M. L. et al. (2019). Human-Computer Interaction. Recognition and Interaction Technologies, Orlando, FL, 332–347.
Study Protocol and Rationale of the “Cogni-Action Project” a Cross-Sectional and Randomized Controlled Trial About Physical Activity, Brain Health, Cognition, and Educational Achievement in Schoolchildren.Solis-Urra, P. et al. (2019). BMC Pediatrics, 19, 1–16.
Steady-State Visual Evoked Potential-Based Real-Time BCI for Smart Appliance Control.Tavares, N. & Gad, R. (2019). Cognitive Informatics and Soft Computing, 795–805.
Real vs. Immersive-Virtual Emotional Experience: Analysis of Psycho-Physiological Patterns in a Free Exploration of an Art Museum.Marín-Morales, J. et al. (2019). PLoS ONE, 14(10), 1–24.
On the Same Wavelength: Exploring Team Neurosynchrony in Undergraduate Dyads Solving a Cyberlearning Problem With Collaborative Scripts: Exploring Team Neurosynchrony in Problem Solving.Antonenko, P. D. et al. (2019). Mind, Brain, and Education, 13, 4–13.
Music Evoked Brain Lobe Activation Using Spectral Features form EEG.Haque, C. A. (2019). International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering.
Multisensory Real-Time Space Telerobotics.Ferraz, M. et al. (2019). Intelligent Computing, 275–298.
Multi-dimensional Workload in Two Types of Nuclear Power Plant Simulators.Reinerman-Jones, L. et al. (2019). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63, 1777–1781.
Managing Economic Innovations - Methods and Instruments.Romanowski, R. et al. (2019).
MAD-EEG: An EEG Dataset for Decoding Auditory Attention to a Target Instrument in Polyphonic Music.Cantisani, G. et al. (2019). Workshop on Speech, Music and Mind, Vienna, Austria.
Identifying Heart-Brain Interactions During Internally and Externally Operative Attention Using Conditional Entropy.Kumar, M. et al. (2019). Biomedical Signal Processing and Control, 57, 1–7.
Development of an Introductory Neuroscience Teaching Experience for Undergraduates with a Low-Cost Neuroscience Summer Academy.Colpitts, K. N. et al. (2019). Journal of Undergraduate Neuroscience Education, 17(2), A125–A129.
Differential Executive Functioning in Young Adulthood as a Function of Experienced Child Abuse.Mark, C. A. et al. (2019). Int J Psychophysiol, 135, 126–135.
Frontal Theta-Gamma Ratio Is a Sensitive Index of Concussion History in Athletes on Tasks of Visuo-Motor Control.Poltavski, D. et al. (2019). Scientific Reports, 9, 1–9.
Frequency Domain Approach in CSP based Feature Extraction for EEG Signal Classification.Saha, P. K. et al. (2019). International Conference on Electrical, Computer and Communication Engineering, Cox's Bazar, Bangladesh.
Explicit and Implicit Measures in Video Quality Assessment.Mele, M. L. et al. (2019). 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Prague, Czech Republic, 2, 38–49.
Examining Positivity Effect and Working Memory in Young-Old and Very Old Adults Using EEG-Derived Cognitive State Metrics.Ruthig, J. C. et al. (2019). Res Aging, 1–22.
Estimate the Activation of EEG Bands from Different Brain Lobes with Classified Music Stimulation.Islam, M. et al. (2019). International Journal of Computer Science and Security, 13, 101–113.
EEG Responses to Incremental Self-paced Cycling Exercise in Young and Middle Aged Adults.Maceri, R. M. et al. (2019). International Journal of Exercise Science, 12, 800–810.
Effect of Intensity of Short-Wavelength Light on Electroencephalogram and Subjective Alertness.Lin, J. et al. (2019). Lighting Res. Technol., 1–10.
Modeling and Classification of Voluntary and Imagery Movements for Brain-Computer Interface from fNRI and EEG Signals Through Convolutional Neural Network.Rahman, M. A. et al. (2019). Health Inf Sci Syst, 7, 22.
Transcranial Impedance Changes during Sleep: a Rheoencephalography Study.Meghdadi, A. H. et al. (2019). IEEE Journal of Translational Engineering in Health and Medicine.
Resting State Electroencephalography (EEG) Biomarkers in Huntington’s Disease (HD): Feasibility, Reliability and Relation to HD Pathology.Garces, P. et al. (2019). CHDI Foundation 14th Annual HD Therapeutics Conference, Palm Springs, CA.
Reduced Baseline Resting-State Alpha Power Reverses Following P2X7 Inhibition in Major Depression.Furey, M. (2019). American College of Neuropsychopharmacology, Orlando, FL.
Integrated EEG with VR Administration of Resting State, Attention, and Image Recognition Tasks: A Feasibility Study.Rupp, G. et al. (2019). HCI International, Orlando, FL.
Head Position During Sleep: Potential Implications for Patients with Neurodegenerative Disease.Levendowski et al. (2019). Journal of Alzheimer's Disease, vol. 67, no. 2, pp. 631-638
A Comparison Between Auto-scored Apnea-hypopnea Index And Oxygen Desaturation Index In The Characterization Of Positional Obstructive Sleep Apnea.Levendowski DJ, et al. Nat Sci Sleep 2019; 11;69-78.
Distributions of OSA Therapy Outcomes Based on a Trial Oral Appliance and/or Supine Avoidance.Levendowski DJ, et al. Conference Proceeding of the American Academy of Dental Sleep Medicine, 2019, San Antonio, Tx, AADSM Clinical Research Award recipient
Therapeutic Response to Oral Appliance Therapy: Investigation of Two Criteria.Munafo D,. et al. Conference Proceeding of the American Academy of Dental Sleep Medicine, 2019, San Antonio, Tx
Comparison of Efficacy from a Custom and Trial Oral Appliance.Morgan T., et al. Conference Proceeding of the American Academy of Dental Sleep Medicine, 2019, San Antonio, Tx, AADSM Clinical Research Award recipient
Sleep and sleep position: potential implications for patients with neurodegenerative disease.Levendowski D. J., et al. J Alzheimers Dis 2019;67(2):631-638.
A comparison between auto-scored apnea-hypopnea index and oxygen desaturation index in the characterization of positional obstructive sleep apnea.Levendowski DJ, Hamilton GS, St. Louis EK, et al. Nat Sci Sleep 2019; 11;69-78.
Distributions of OSA therapy outcomes based on a trial oral appliance and/or supine avoidance.Levendowski D.J., Munafo D, Clark SJ et al. J Sleep Res 2019; 28(S1): DOI 10.1111/jsr.72_12912
Prospective crossover trial of Positional and CPAP Therapy (PaCT) for the treatment of positional OSA.Wilson M., Eliender C, Samaranayake C. et al. J Sleep Res 2019; 28(S1): DOI 10.1111/jsr.48_12912
Event-Related Potentials During Sustained Attention and Memory Tasks: Utility as Biomarkers for Mild Cognitive Impairment.Waninger, S. et al. (2018) Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring.
Neurophysiological Biomarkers for Alzheimer's Disease (AD) & Mild Cognitive Impairment (MCI) Acquired During Sleep & Waking.Berka, C et al. (2018). AD/PD Conference, Torino, Italy.
Enhancing the Effectiveness of Human-Robot Teaming with a Closed-Loop System.Teo, G. et al. (2018). Applied Ergonomics, 67, 91–103
A Classification Model for Sensing Human Trust in Machines Using EEG and GSR.Akash, K. et al. (2018). ACM Trans. Interact. Intell. Syst. 8, 1–20.
Advanced Video Analytics Activity (AVAA): Human Factors Evaluation.Schweitzer, K. et al. (2018). US Army Research Laboratory. San Antonio, TX.
Affective Computing in Virtual Reality: Emotion Recognition from Brain and Heartbeat Dynamics Using Wearable Sensors.Marín-Morales, J. et al. (2018). Sci Rep 8, 13657.
Avionics Human-Machine Interfaces and Interactions for Manned and Unmanned Aircraft.Lim, Y. et al. (2018). Progress in Aerospace Sciences, 102, 1–46.
Validating the use of B-Alert Live Electroencephalography in Measuring Cognitive Load with the NASA Task Load Index.Cowan, C. et al. (2018). ASEE Southeastern Section Conference, Daytona Beach, FL, 9.
The Effects of Designers’ Contextual Experience on the Ideation Process and Design Outcomes.Hu, W. and Reid, T. (2018). Journal of Mechanical Design, 140, 1–11.
The Effect of Whole-Body Haptic Feedback on Driver’s Perception in Negotiating a Curve.Pakdamanian, E. et al. (2018). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62, 19–23.
The Effect of Visual Task Difficulty on the Fixation-Related Lambda Response.Ries, A. et al. (2018). International Journal of Psychophysiology, 134.
Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.Yoon, J. et al. (2018). Computational Intelligence and Neuroscience, 1–11.
Physiological Measures for Human Performance Analysis in Human-Robot Teamwork: Case of Tele-Exploration.Memar, A. H. & Tarkesh Esfahani, E. (2018). IEEE Access, 6, 3694–3705.
Comparative Study of Laptops and Touch-Screen PCs for Searching on the Web.Debue, N. et al. (2018). Engineering Psychology and Cognitive Ergonomics, 10906, 403–418.
Curriculum for Accelerated Learning Through Mindfulness (CALM).Skinner, A. et al. (2018). in Augmented Cognition: Users and Contexts, 10916, 214–226.
Deception of Cycling Distance on Pacing Strategies, Perceptual Responses, and Neural Activity.Wingfield, G. et al. (2018). Pflügers Archiv - European Journal of Physiology, 471(2).
Dynamic Changes of Brain Functional States During Surgical Skill Acquisition.Shafiei, S. B. et al. (2018). PLoS ONE 13, 1–19.
EEG Correlates of Motor Control Difficulty in Physical Human-Robot Interaction: A Frequency Domain Analysis.Memar, A. H. & Esfahani, E. T. (2018). IEEE Haptics Symposium, San Francisco, CA, 229–234.
EEG-Metric Based Mental Stress Detection.Gaurav, R. S. & Kumar, V. (2018). Network Biology, 8, 25–34.
Emotion in a 360-Degree vs. Traditional Format Through EDA, EEG and Facial Expressions.Castellanos, M. C. et al. (2018). Advances in Advertising Research IX, 3–15.
Human Factors Evaluation of Advanced Video Activity Analytics (AVAA) Functionality.Schweitzer, K. M. et al. (2018). US Army Research Laboratory, TR-8301.
Explicit and Implicit Factors That Determine Private Labels’ Possible Purchase: Eyetracking and EEG Research.Garczarek-Bąk, U. (2018). International Journal of Management and Economics, 54, 36–49.
Assessment of Sleep Abnormalities In Patients With Neurodegenerative Disease Using an In-home Sleep Profiling System.Levendowski, D. et al. (2018). 26th Annual Meeting of the German Sleep Society, Nuremberg, Germany.
Characterization of Sleep Abnormalities in Alzheimer’s Disease (AD) & Mild Cognitive Impairment (MCI) using an In-home Sleep Profiling System.Berka, C. et al. (2018). AD/PD Conference, Torino, Italy.
P2X7 Receptor Antagonism Modulates the Processing of Faces based on Emotion Expression in Major Depressive Disorder.Furey, M. et al. (2018). P2X7 Annual Meeting of the American College of Neuropsychopharmacology, Hollywood, FL.
Neurophysiological Indices of Cannabis and Impairment.Smith, S. et al. (2018). Society For Neuroscience, San Diego, CA.
A systematic comparison of factors that could impact treatment recommendations for patients with Positional Obstructive Sleep Apnea (POSA).Levendowski D.J.,Oksenberg A, Vicini C et al. Sleep Med 2018; 50:145-151.
Agreement in supine sleep duration when measured from the chest, head and neck.Levendowski D. J., Veljkovic B, Ramos Angel E, et al. 30th annual meeting of the Australasian Sleep Association, Brisbane Australia, October 17-20, 2018
A Novel EEG Based Spectral Analysis of Persistent Brain Function Alteration in Athletes with Concussion History.Munia, T. T. K. et al. (2017). Scientific Reports, 7, 1–13.
Task Level Hierarchical System for BCI-enabled Shared Autonomy. Akinola, I. et al. (2017). IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), Birmingham, UK.
On the Road to Autonomy: Evaluating and Optimizing Hybrid Team Dynamics.Berka, C. & Stikic, M. (2017). In Autonomy and Artificial Intelligence: A Threat or Savior?, pp. 245–262
Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials.Ratti, E. et al. (2017). Frontiers in Human Neuroscience, 11, 398.
Adding Immersive Virtual Reality to a Science Lab Simulation Causes More Presence But Less Learning.Makransky, G. et al. (2017). Learning and Instruction, 60, 1–12.
Surround-Screen Mobile based Projection: Design and Implementation of Mobile Cave Virtual Reality.Ghani Karkar, A. et al. (2017). IEEE Access, 1–7.
Preference Classification Using Electroencephalography (EEG) and Deep Learning.Teo, J. et al. (2017). AIP Conference Proceedings, Kedah, Malaysia, 1891, 87–91.
Evaluating Drugged Driving: Effects of Exemplar Pain and Anxiety Medications.Brown, T. L. et al. (2017). Traffic Inj Prev, 19, S97–S103.
How Virtual Reality Facilitates Social Connection.Neurons Inc. (2017). Facebook IQ, Facebook for Business.
The Relationship between Real-Time EEG Engagement, Distraction and Workload Estimates and Simulator-Based Driving Performance.Marcotte, T. et al. (2017). Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Bolton Landing, NY, 411–417.
Neurophysiological Indices of Human Social Interactions Between Humans and Robots.Smith, S. J. et al. (2017). HCI International, 251–262.
Evaluation of quantitative EEG as a disease and treatment response biomarker in frontotemporal dementia.Ratti et al. (2017). Neurology Apr 2017, 88 (16 Supplement)
Validation of a new criterion for characterization of positional obstructive sleep apnea.Levendowski D.J., Oksenberg A, Vincini C et al. World Sleep Congress, October 2017, Prague Czech Republic
Efficacy of the new generation of devices for positional therapy (PT) for patients with positional obstructive sleep apnea (POSA): a systematic review of the literature and meta-analysis.Ravesloot M. J. L. , White D, Heinzer R et al. J Clin Sleep Med 2017; 13(6):813-824.
A randomized, controlled trial of positional therapy versus oral appliance therapy for position-dependent sleep apnea.Benoist L., de Ruiter M., de Lange et al. Sleep Medicine 2017; 34:109-117
Development of Neurophysiological-Based Biomarkers for Neurodegenerative Disease.Waninger S. et al. (2016). CNS Summit 2016, Boca Raton, FL.
Assessing a Learning Process with Functional ANOVA Estimators of EEG Power Spectral Densities.Gutiérrez, D. & Ramírez-Moreno, M. A. (2016). Cogn Neurodyn 10, 175–183.
A Brain–Computer Interface (BCI) for the Detection of Mine-Like Objects in Sidescan Sonar Imagery.Barngrover, C. et al. (2016) IEEE J. Oceanic Eng. 41, 123–138.
Psychophysiological Sensing and State Classification for Attention Management in Commercial Aviation.Harrivel, A. et al. (2016). American Institute of Aeronautics and Astronautics, San Diego, CA.
Ericsson Mobility Report: On the Pulse of the Networked Society.Cerwall, P. (2016).
Identification of Neurophysiological Biomarkers of MCI Using Resting State EEG.Waninger, S. et al. (2016). Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 12, 882.
User compliance and behavioral adaptation associated with supine avoidance therapy.Levendowski D. J., Cunnington D, Swieca J, et al. Behav Sleep Med, 2016; 9:1-11.
Short-term effects of vibrotactile neck-based treatment device for positional obstructive sleep apnea: preliminary data on tolerability and efficacy.Scarlata S., BertoliI R., Santangelo S., et al. J Thoracic Dis, 2016; 8(7):1820-4.
Dramatic improvement in OSA severity when oral appliance and positional therapies are combined – a case study.Barr DP. Dental Sleep Practice Spring 2016.
Behavioral and Neurophysiological Signatures of Benzodiazepine-Related Driving Impairments.Stone, B. et al. (2015). Frontiers in Psychology, 6, 1799
Characterizing Donation Behavior from Psychophysiological Indices of Narrative Experience. Correa, K. et al. (2015). Frontiers in Neuroscience, 9, 301
Do Drowsy Driver Drugs Differ?Brown,T. et al. (2015). 8th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, Salt Lake City, UT.
EEG Coherence Within Tutoring Dyads: A Novel Approach for Pedagogical Efficiency. Stone, B. et al. (2015). Foundations of Augmented Cognition, 697-706.
Combined Neurocognitive & EEG Biomarkers to Assess Effects of CNS Depressants & Stimulants.Waninger, S. et al. (2015). American Society of Clinical Psychopharmacology Annual Meeting, Miami, FL.
Predictive Coding and the Uncanny Valley Hypothesis: Evidence from Electrical Brain Activity.Urgen, B. et al. (2015). 10th ACM/IEEE International Conference on Human-Robot Interaction. Portland, OR.
A Novel Portable Neurocognitive Biomarker Assessment for Parkinson's Disease.Berka, C. et al. (2015). GTC Biomarker Summit, San Diego, CA.
Neuroenhancement in Tasks, Roles, and Occupations. Stikic, M. et al. (2015). In Organizational Neuroscience. 169-186.
Aesthetic Preference Recognition of 3D Shapes Using EEG.Chew, L. H. et al. (2015). Cognitive Neurodynamics 10, 165–173.
Workload Associated with Nuclear Power Plant Main Control Room Tasks. Reinerman-Jones, L. et al. (2015). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 59, 110–114.
The Creative Investigation of Brain Activity with EEG for Gender and Left/Right-Handed Differences.Xiong, Y. et al. (2015). Journal of Mechanics in Medicine and Biology, 15(4), 1–12.
Prefrontal and Motor Cortex EEG Responses and Their Relationship to Ventilatory Thresholds During Exhaustive Incremental Exercise.Robertson, C. V. & Marino, F. E. (2015). Eur. J. Appl. Physiol., 115, 1939–1948.
Consumers’ Cognitive Lock-in on Websites: Evidence from a Neurophysiological Study.Sénécal, S. et al. (2015). Journal of Internet Commerce, 14, 277–293.
Measurement of Neural Signals from Inexpensive, Wireless and Dry EEG Systems.Grummett, T. S. (2015). Physiol Meas, 36, 1469–1484.
Effects of User Mental State on EEG-BCI Performance.Myrden, A. & Chau, T. (2015). Frontiers in Human Neuroscience, 9, 1–11.
Electroencephalographic Brain Frequency in Athletes Differs During Visualization of a State of Rest Versus a State of Exercise Performance: A Pilot Study.Berk, L. et al. (2015). Physical Therapy Rehabilitation Science, 4, 28–31.
Psychophysiological Effects of Adderall Use.Smith, S. J. et al. (2015).
Neuroscience and Team Processes.Waldman, D. A. et al. (2015). Organizational Neuroscience, 7, 277–294.
Heart-Rate Variability and Power Spectral Densities as Neurophysiological Indices of Post-Traumatic Stress Disorder.Smith, S. J. et al. (2015). Society For Neuroscience, Chicago, IL.
Comparison of Mandibular Repositioning Device Outcomes for the Treatment of Obstructive Sleep Apnea Using Alternative Approaches for Determining the Optimal Jaw-Forward Position.Morgan T, Myers, A, Melzer V. Conference proceeding of American Academy of Dental Sleep Medicine, 2014; Minneapolis, MN
Modeling the Neurodynamic Complexity of Submarine Navigation Teams. Stevens, R. et al. (2013). Computational & Mathematical Organization Theory, 19(3), 346–369.
Emergent Leadership and Team Engagement: An Application of Neuroscience Technology and Methods.Waldman, D. et al. (2013). Academy of Management Proceedings Orlando, FL.
Neurophysiological Predictors of Team Performance. Johnson, R. et al. (2013). Foundations of Augmented Cognition: 7th International Conference. HCI International. Las Vegas, NV.
Integrating EEG Models of Cognitive Load with Machine Learning Models of Scientific Problem Solving.Stevens, R. et al. (2006). Augmented Cognition: Past, Present and Future. 55-65.
A Neuroscientific Perspective for Assessing Student Engagement in E-Learning.Charland, P. et al. (2013). E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education.
The Organizational Neurodynamics of Teams.Stevens, R. et al. (2013). Nonlinear Dynamics, Psychology, and Life Sciences, 17, 67–86.
Postural Sway and Rhythmic Electroencephalography Analysis of Cortical Activation During Eight Balance Training Tasks.Tse, Y. et al. (2013). Med Sci Monit, 19, 175–186.
Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search.Winslow, B. et al. (2013). Journal of Eye Movement Research, 6, 1–11.
Hemispheric Differences and Spatial Ability in Robot to Human Tactile Communication.Descheneaux, C. R. et al. (2013). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 57, 1154–1158.
Augmented Interaction: Applying the Principles of Augmented Cognition to Human-Technology and Human-Human Interactions.Skinner, A. et al. (2013). Foundations of Augmented Cognition, 764–773.
The Real-Flight Approach to Assess Flight Simulator Force Cueing Fidelity.Klyde, D. et al. (2013). AIAA Atmospheric Flight Mechanics Conference.
Soft, Embeddable, Dry EEG Sensors for Real World Applications.Davis, G. et al. (2013). Foundations of Augmented Cognition, Las Vegas, NV, 269–278.
PHYSIOPRINT: A Workload Assessment Tool Based on Physiological Signals.Popovic, D. et al. (2013). 5th International Conference on Automotive UI, Eindhoven, The Netherlands.
Non-Invasive EEG-Based Motor and Language Mapping While Playing a Kinect Based Computer Game.Scherer, R. et al. (2013).
Neurophysiological Estimation of Team Psychological Metrics.Stikic, M. et al. (2013). Foundations of Augmented Cognition: 7th International Conference, 8027.
Identifying Periods of Drowsy Driving Using EEG.Brown, T. et al. (2013). Annals of Advances in Automotive Medicine, 57, 99–108.
Cognitive Neurophysiologic Synchronies: What Can They Contribute to the Study of Teamwork? Stevens, R. et al. (2012). Human Factors, 54(4), 489–502.
Zen and the Art of Genius. Adee, S. (2012). New Scientist, 32–35.
Preface to the Special Section on Methods for the Analysis of Communication.Cooke, N. J. et al. (2012). Hum Factors, 54(4), 485–488.
Neurophysiological Correlates of Information Systems Commonly Used Self-Reported Measures: A Multitrait Multimethod Study.Guinea, A. et al. (2012). Proceedings of the Annual Hawaii International Conference on System Sciences, 562–571.
EEG Estimates of Engagement and Cognitive Workload Predict Math Problem Solving Outcomes.Galan, F. C. & Beal, C. (2012). User Modeling, Adaptation, and Personalization, 51–62.
Electroencephalography to Assess Motor Control During Balance Tasks in People with Diabetes.Petrofsky, J. et al. (2012). Diabetes Technology & Therapeutics, 14, 1–9.
NeuroGaming: Merging Cognitive Neuroscience & Virtual Simulation in an Interactive Training Platform.Berka, C. et al. (2012). Conference: AHFES.
Neurotechnology to Accelerate Learning.Behneman, A. et al. (2012). IEEE pulse. 3. 60-3.
Team Neurodynamics: A Novel Platform for Quantifying Performance of Teams.Raphael, G. et al. (2012). Advances in Cognitive Engineering and Neuroergonomics, 269–278.
Development of a Mobile Neurocognitive Assessment to Delineate CNS Depressant and Stimulant Related Deficits.Johnson, R. (2012). International Pharmaco-EEG Society, New York, NY.
Event-Related Potential Assessment of Cognitive Tasks in PTSD.Tan, V. et al. (2012). Society For Neuroscience, Chicago, IL.
Enhancing Cultural Training Platforms with Integrated Psychophysiological Metrics of Cognitive and Affective States.Berka, C. et al. (2012). Applied Human Factors and Ergonomics.
Mapping Neurophysiologic Synchrony Attractor States and Entropy Fluctuations during Submarine Piloting and Navigation. Stevens, R. et al (2011). Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Volume 55; 212-216.
EEG-Derived Estimators of Present and Future Cognitive Performance. Stikic, M. et al. (2011) Frontiers in Human Neuroscience, Volume 5; 1-13
Interactive Neuro-Educational Technologies (I-NET): Development of a Novel Platform for Neurogaming. Raphael, G. et al. (2011). Foundations of Augmented Cognition. Directing the Future of Adaptive Systems (pp. 452–461)
Developing Systems for the Rapid Modeling of Team Neurodynamics.Stevens, R. et al. (2011). in Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, Orlando, FL, 356-365.
Drowsiness/Alertness Algorithm Development and Validation Using Synchronized EEG and Cognitive Performance to Individualize a Generalized Model.Johnson, R. et al. (2011). Biological Psychology, 87(2), 241–250.
Mitigation of Sleep Deprivation Through Omega-3 Fatty Acids: Neurocognitive, Inflammatory, EEG and EKG Evidence.Johnson, R. et al. (2010). Neurocognitive inflammatory, EEG and EKG evidence, Neuroscience.
Performance-Based Metrics for Evaluating Submarine Command Team Decision-Making.Jones, E. et al. (2011). Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, Orlando, FL, 308–317.
Event-Related Potential Studies of Post-Traumatic Stress Disorder: A Critical Review and Synthesis.Javanbakht, A. et al . (2001). Biol Mood Anxiety Disord, 1, 5.
Use of NeurophysiologicalMetrics within a Real and Virtual Perceptual Skills Task to Determine Optimal Simulation Fidelity Requirements.Vice, J. et al. (2011). Virtual and Mixed Reality - New Trends, 6773, 387–399.
Neural Systems in Intelligence and Training Applications.Stanney, K. et al. (2011). Synesis: A Journal of Science, Technology, Ethics, and Policy, 2, T38–T44.
Exploring Subjective Experience during Simulated Reality Training with Psychophysiological Metrics.Berka, C. et al. (2011). Physiological Metrics of Immersion, 1–12.
Initial Evaluation of a Titration Appliance for Temporary Treatment of Obstructive Sleep Apnea.Levendowski D, Morgan T, Westbrook P. J Sleep Disord Ther 2011; 1:1.
A Neurophysiologic Approach for Studying Team Cognition.Stevens, R. et al. (2010). Proceedings of the Interservice/Industry Training, Simulation, and Education Conference, Orlando, FL.
Temporal Sequences of Neurophysiologic Synchronies can Identify Changes in Team Cognition.Stevens, R. et al. (2010). Human Factors And Ergonomics Society 54th Annual Meeting, 190-194.
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision.Sajda, P. et al. (2010). Proceedings of the IEEE, 98, 462–478.
Accelerating Training Using Interactive Neuro- Educational Technologies: Applications to Archery, Golf and Rifle Marksmanship.Berka, C. et al. (2010). International Journal of Sport and Society, 1, 87–104.
Linking Models of Team Neurophysiologic Synchronies for Engagement and Workload with Measures of Team Communication. Stevens, R. (2010) Proceedings of the Behavior Representation in Modeling Simulation.
Treatment Outcomes of Mandibular Advancement Devices in Positional and Non-Positional Patients.Chung JW, Enciso R, Levendowski DJ et al. SurgOral med Oral Pathol Oral Radiol Endod, 2010; 109(5),724-731. Voted by Editorial Board for H. Dean Millard Best Paper Award for 2010
Positional vs. Non-Positional Obstructive Sleep Apnea Patients; a Retrospective Study of Risk Factors associated with Apnea- Hypopnea Severity.Chung J. W., et al. Surg Oral med Oral Pathol Oral Radiol Endod, 2010; 110:605-610.
Assessing Changes in the AHI Resulting from Increased Vertical Dimension of Occlusion (VDO) of Mandibular Repositioning Devices.Levendowski D., et al. Sleep Breath 2009; 13:308.
Benefit of Mandibular Repositioning Device (MRD) Therapy in Patients with Moderate and Severe OSA.Levendowski D., et al. Sleep 2009; 32:203.
Biomarkers for Effects of Fatigue and Stress on Performance: EEG, P300 and Heart Rate Variability.Berka, C. et al. (2008). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 52, 192–196.
Assessing Student's Mental Representations of Complex Problem Spaces with EEG Technologies. Stevens, R. et al. (2008). Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 52, 167-171
Interactive Neurotechnology Platform: A Real-time Window on Human Information Processing at the Millisecond Level.Berka, C. et al. (2008). Applied Human Factors and Ergonomics. Las Vegas, NV.
Driving EEG Cognitive Assessment using Eye Fixations.Hale, K. et al. (2008). Applied Human Factors and Ergonomics 2nd International Conference. Las Vegas, NV.
The New Interface of Brain, Mind, and Machine: Will the Emergent Whole Be Greater than the Sum of the Parts?Berka, C. et al. (2008). Ergonomics and Psychology: Developments in Theory and Practice, 8, 165-186.
Brainwave-Based Imagery Analysis.Cowell, A. J. et al. (2008). Digital Human Modeling: Trends in Human Algorithms, 4650, 17–27.
Using Interactive Neuro-Educational Technology to Increase the Pace and Efficiency of Rifle Marksmanship Training. Berka, C. et al. (2008). Instructional Design for the Advanced Learner: Training Expertise, New York, NY.
Enhancing Situation Awareness with an Augmented Cognition System.Fuchs, S. et al. (2008). Augmented Condition: A Practitioner’s Guide, 112–14.
Neurophysiological Estimation of Interruptibility: Demonstrating Feasibility in a Field Context.Mathan S. et al. (2007). Proceedings of the 4th International Conference of the Augmented Cognition Society. 51-58. Baltimore, MD.
Integrating Innovative Neuro-Educational Technologies (I-Net) into K-12 Science Classrooms.Stevens, R. et al. (2007). Augmented Cognition: Past, Present, & Future. 47-56.
Allocation of Time, EEG-Engagement and EEG-Workload Resources as Scientific Problem Solving Skills are Acquired in the Classroom. Stevens, R. et al. (2007). Augmented Cognition: Past, Present, & Future. Arlington, VA.
Exploring Neural Trajectories of Scientific Problem Solving Skill Acquisition.Stevens, R. et al. (2007). Augmented Cognition: Past, Present, & Future. 16
EEG-Related Changes in Cognitive Workload, Engagement and Distraction as Students Acquire Problem Solving Skills.Stevens, R. et al. (2007). User Modeling Conference. Athens, Greece.
Construction and Validation of a Neurophysio-Technological Framework for Imagery Analysis.Cowell, A. et al. (2007). Interaction Platforms and Techniques: 12th International Conference, Beijing, China.
EEG Correlates of Task Engagement and Mental Workload in Vigilance, Learning, and Memory Tasks.Berka, C. et al. (2007). Aviat Space Environ Med, 78(5), B231-244.
Supporting Real-Time Cognitive State Classification on a Mobile Individual.Dorneich, M. et al. (2007). Journal of Cognitive Engineering and Decision Making, 1, 240–270.
Assessment of Obstructive Sleep Apnea Risk and Severity in Truck Drivers: Validation of a Screening Questionnaire.Levendowski, D. J. et al. (2007). Sleep Diagnosis and Therapy, 2, 20–26.
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