Modeling temporal sequences of cognitive state changes based on a combination of EEG-engagement, EEG-workload, and heart rate metrics

The objective of this study was to investigate the feasibility of physiological metrics such as ECG-derived heart rate and EEG-derived cognitive workload and engagement as potential predictors of performance on different training tasks. An unsupervised approach based on self-organizing neural network (NN) was utilized to model cognitive state changes over time. The feature vector comprised [...]

Identifying psychophysiological indices of expert vs. novice performance in deadly force judgment and decision making

Johnson RR, Stone BT, Miranda CM, et al. Frontiers in Human Neuroscience 2014;8:512. Objective: To demonstrate that psychophysiology may have applications for objective assessment of expertise development in deadly force judgment and decision making (DFJDM). Background: Modern training techniques focus on improving decision-making skills with participative assessment between trainees and subject matter experts primarily through [...]

Development of EEG Biomarkers for Alzheimer’s Disease

The Advanced Brain Monitoring research team partnered with Biogen Idec in a preliminary development of EEG biomarkers using B-Alert X24 equivalent EEG datasets.  Poster was presented at The GTC Biomarker Summit 2014 held March 19-21 in San Diego, CA. Introduction A growing body of evidence suggests that EEG analyses, including both resting state and event-related [...]

Team NeuroDynamics: New Applications Resulting in Novel EEG-based Metrics

Advanced Brain Monitoring’s Team NeuroDynamics mobile EEG platform for studying social interactions is enabling researchers around the globe to develop new understanding of human interaction. By synchronizing the data acquired across two or more B-Alert wireless EEG systems and applying innovative analysis methods, Team NeuroDynamics now makes it possible to add objective psychophysiological data to [...]

Emergent Leadership and Team Engagement: An Application of Neuroscience Technology and Methods

Abstract: Although the topic of employee engagement has gained increasing attention, little is known about engagement in team settings. In the current study, we examined individual engagement, emergent leadership, and team-level engagement in 31 teams of MBA students who attempted to solve a case problem dealing with corporate social responsibility. A feature of this study [...]

Neurophysiological predictors of Team performance

Abstract: Objective: To identify benchmark neurophysiological measures that predict performance at a teaming level. Advanced Brain Monitoring has a track record of success in identifying neuro-physiological metrics that impact expert behavior. For example, we characterized negative and positive predictors for marksmanship skill; persons with higher HF:LF Norm metrics of Heart rate variability (HRV, an indication [...]