Integrated Development Environment for EEG-Driven Cognitive-Neuropsychological Research

Shoham Jacobsen, Oded Meiron, David Yoel Salomon, Nir Kraizler, Hagai Factor, Efraim Jaul, Elishai Ezra Tsur

פרסום מחקרי: פרסום בכתב עתמאמרביקורת עמיתים


Background: EEG-driven research is paramount in cognitive-neuropsychological studies, as it provides a non-invasive window to the underlying neural mechanisms of cognition and behavior. A myriad collection of software and hardware frameworks has been developed to alleviate some of the technical barriers involved in EEG-driven research. Methods: we propose an integrated development environment which encompasses the entire technical 'data-collection pipeline' of cognitive-neuropsychological research, including experiment design, data acquisition, data exploration and analysis in a state-of-the-art user interface. Our framework is based on a unique integration between a python-based web framework, time-oriented databases and object-based data schemes. Results: we demonstrated our framework with the recording and analysis of an n-Back task completed by 15 elderly (ages 50 to 80) participants. This case study demonstrates the highly utilized nature of our integrated framework with a challenging target population. Furthermore, our results may provide new insights into the correlation between brain activity and working memory performance in elderly people, who are prone to experience accelerated decline in executive prefrontal cortex functioning. Conclusion: our framework extends the range of EEG-driven experimental methods for assessing cognition available for cognitive-neuroscientists, allowing them to concentrate on the creative part of their work instead of technical aspects.

שפה מקוריתאנגלית
מספר המאמר9087877
כתב עתIEEE Journal of Translational Engineering in Health and Medicine
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2020

הערה ביבליוגרפית

Publisher Copyright:
© 2013 IEEE.

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