for Neurological and Psychiatric Diseases

EEG provides non-invasive, low cost biomarkers for characterizing neurological and psychiatric diseases and for monitoring treatment outcomes.
Event-related potentials during sustained attention and memory tasks: Utility as biomarkers for mild cognitive impairment (MCI)

The objective of the study was to validate attention and memory tasks that elicit event-related potentials (ERPs) for utility as sensitive biomarkers for early dementia. The results of the study comparing MCI and closely matched controls suggests that the ERP tasks administered concurrently with EEG are sensitive and reliable measures for cognitive decline and mild dementia. In particular, the ERPs elicited in response to the image recognition task represent a robust dementia biomarker that reflects the memory deficits in early dementia and has strong potential for utility in monitoring the efficacy of investigational, disease-modifying interventions.

EEG-Based Biomarkers for HIV-Associated Neurocognitive Disorder (HAND) Overview

Dr. Thomas Marcotte with UCSD’s HIV Neurobehavioral Research Program used the B-Alert systems and the Alertness and Memory Profiler (AMP) to characterize neurocognitive decline in HIV patients. AMP-based EEG metrics were also shown to generalize in predicting performance driving errors on the road for HIV patients and healthy controls.

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Resting state EEG biomarkers of cognitive decline associated with Alzheimer's disease and mild cognitive impairment.
Meghdadi AH. et al. (2021) Clin Neurophysiol. PLoS One. 2021;16(2)
EEG event related potentials in sustained, focused and divided attention tasks: Potential biomarkers for cognitive impairment in HIV patients. Meghdadi AH. et al. (2021) Clin Neurophysiol. 2021 Feb;132(2):598-611.
Electroencephalography to Assess Motor Control During Balance Tasks in People with Diabetes.
Petrofsky, J. et al. (2012) Diabetes Technology & Therapeutics, 14, 1–9.
Postural Sway and Rhythmic Electroencephalography Analysis of Cortical Activation During Eight Balance Training Tasks.
Tse, Y. et al. (2013). Medical Science Monitor: International Medical Journal of Experimental and Clinical Research, 19, 175–186.
Event-Related Potential Assessment of Cognitive Tasks in PTSD.
Tan, V. et al. (2012). Poster. Presented at the Society For Neuroscience, Chicago, IL.
Heart-Rate Variability and Power Spectral Densities as Neurophysiological Indices of Post-Traumatic Stress Disorder.
Smith, S. et al. (2015). Poster. Presented at the Society For Neuroscience, Chicago, IL.
Development of EEG Biomarkers for Alzheimer’s Disease.
Berka, C. et al. (2014). Poster. Presented at the GTC Biomarker Summit, San Diego, CA.
A Novel Portable Neurocognitive Biomarker Assessment for Parkinson’s Disease.
Korszen, S. et al. (2015). Poster. Presented at the GTC Biomarker Summit, San Diego, CA.
Combined Neurocognitive and EEG Biomarkers to Assess Effects of CNS Depressants & Stimulants.
Waninger, S. et al. (2015) Poster. Presented at the American Society of Clinical Psychopharmacology Annual Meeting, Miami, FL.
Multi-Modal Prediction of PTSD and Stress Indicators.
Rozgic, V. et al. (2014). IEEE International Conference on Acoustics, Speech and Signal Processing, 3636–3640.
Detection and Computations Analysis of Psychological Signals (DCAPS).
Ragsdale, C. (2014). Poster. Presented at the DARPA I2O Demo Day.
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, 10, 452–460
Neurophysiological Indices of Cannabis and Impairment.Smith, S. et al. (2018).
Presented at the Society For Neuroscience, San Diego, CA.
EEG Biomarkers For Frontotemporal Dementia Differentiate Between Healthy Control And Alzheimer’s Disease.
Waninger, S. (2018).  Presented at the Society For Neuroscience, San Diego, CA
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, 411–417.
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