Abstract
Many patients with mental illnesses characterized by impaired cognitive control have no relief from gold-standard clinical treatments resulting in a pressing need for new alternatives. This paper develops a neural decoder to detect task engagement in ten human subjects during a conflict-based behavioral task known as the multi-source interference task (MSIT). Task engagement is of particular interest here because closed-loop brain stimulation during those states can augment decision-making. The functional connectivity patterns of the electrodes are extracted. A principal component analysis of these patterns is carried out and the ranked principal components are used as inputs to train subject-specific linear support vector machine classifiers. In this paper, we show that task engagement can be differentiated from background brain activity with a median accuracy of 89.7%. This was accomplished by constructing distributed functional networks from local field potentials recording during the task performance. A further challenge is that goal-directed efforts take place over higher temporal resolution. Task engagement must thus be detected at a similar rate for proactive intervention. We show that our algorithms can detect task engagement from neural recordings in less than 2 seconds; this can be further improved using an application-specific device.
Original language | English (US) |
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Title of host publication | 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 451-454 |
Number of pages | 4 |
ISBN (Electronic) | 9781728111797 |
DOIs | |
State | Published - 2021 |
Event | 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 - Virtual, Online, Mexico Duration: Nov 1 2021 → Nov 5 2021 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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ISSN (Print) | 1557-170X |
Conference
Conference | 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 |
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Country/Territory | Mexico |
City | Virtual, Online |
Period | 11/1/21 → 11/5/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.