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A Novel Approach to Assessing Cognitive State During Real-World Tasks

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
Program Year/Program:
2011 / STTR
Agency Tracking Number:
R41MH097303
Solicitation Year:
2011
Solicitation Topic Code:
NIMH
Solicitation Number:
PA11-097
Small Business Information
Advanced Brain Monitoring
2237 Faraday Ave Suite 100 Carlsbad, CA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2011
Title: A Novel Approach to Assessing Cognitive State During Real-World Tasks
Agency: HHS
Contract: 1R41MH097303-01
Award Amount: $254,533.00
 

Abstract:

DESCRIPTION (provided by applicant): Neurologic disorders frequently affect everyday functioning. However, clinicians and researchers have had limited success in predicting who will, or will not, succeed at real-world tasks, since most assessments rely ontesting from in a controlled environment (clinic, laboratory) to predict performance in the less controlled and more chaotic real world. Researchers have therefore sought to develop EEG-based cognitive state algorithms to assess real-time neurophysiology during everyday activities. However, algorithms developed thus far have failed to generalize to complex real-world performance (e.g., on-road driving) and are rarely, if ever, validated in neurologic populations. The current proposal seeks to advance the B-Alert(R) X10 system (a portable, wireless EEG/ECG headset with cognitive state algorithms of engagement and workload) to address these limitations. The aims of this project are: 1) to enhance the software and hardware capabilities of the ABM EEG system foruse during on-road evaluations, 2) to validate EEG engagement and workload algorithms in individuals with HIV-associated neurocognitive disorders (HAND) in a laboratory-based environment, and 3) to relate EEG algorithms acquired during standardized on-road evaluations to driving performance, within control and HAND groups. HAND is an important population because 1) HIV is now a chronic condition, initially affecting individuals in young/middle age, 2) HAND remains prevalent and affects everyday functioning, including automobile driving, and 3) as with other conditions, clinic-based NP assessments only modestly predict success or failure at real world tasks. The project will occur in 3 phases. First, ABM will use a small set of on-road data already acquiredto optimize both the cognitive state and artifact rejection algorithms. Next, the algorithms will be applied to in-laboratory cognitive and semi-naturalistic driving simulator assessments to determine what further adaptations might be required. Finally,participants will complete both an in-laboratory and standardized on-road assessment to determine the validity of the algorithms. Participants will be recruited from the HIV Neurobehavioral Research Center at UCSD, which will provide standardized neuropsychological and neuromedical assessments prior to enrollment. If successful, the proposed tool would 1) provide researchers with a new method for assessing components of real-world functioning, 2) validate the first on- road driving cognitive state algorithms, and 3) develop predictors of on-road driving impairments, reducing the need for potentially dangerous real-life driving assessments, The envisioned final product would allow for integration of in-laboratory and in-the-wild assessments for a variety of real world applications, and be available for use by researchers, clinicians, and public safety officials, and relevant to a broad range of conditions, including aging and various neurologic (e.g., stroke, TBI recovery) and psychiatric (e.g., substance use)disorders. PUBLIC HEALTH RELEVANCE: This project seeks to address the primary limitations of currently available cognitive state algorithms: failure to generalize to real-world performance outside of the laboratory, and failure to validate in neurologically impaired populations, particularly in HIV associated neurocognitive disorders (HAND). We propose to advance the portable, wireless EEG system, the B-Alert(R) X10 to accommodate these limitations, by adaptation of both the artifact decontamination and cognitive state (engagement and workload) algorithms.

Principal Investigator:

Robin Johnson
760-720-0099
rjohnson@b-alert.com

Business Contact:

Sandy Crow
760-720-0099
scrow@b-alert.com
Small Business Information at Submission:

ADVANCED BRAIN MONITORING, INC.
2237 FARADAY AVE, SUITE 100 CARLSBAD, CA -

EIN/Tax ID: 133088630
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIVERSITY OF CALIFORNIA-SAN DIEGO
UNIVERSITY OF CALIFORNIA SAN DIEGO
9500 GILMAN DR, DEPT 0934
LA JOLLA, CA 92093-0934
Contact: