Abstract
This paper analyzes local field potentials (LFP) from 10 human subjects to discover frequency-dependent biomarkers of cognitive conflict. We utilize cortical and sub-cortical LFP recordings from the subjects during a cognitive task known as the Multi-Source Interference Task (MSIT). We decode the task engagement and discover biomarkers that may facilitate closed-loop neuromodulation to enhance cognitive control. First, we show that spectral power features in predefined frequency bands can be used to classify task and non-task segments with a median accuracy of 88.1%. Here the features are first ranked using the Bayes Factor and then used as inputs to subject-specific linear support vector machine classifiers. Second, we show that theta (4-8 Hz) band, and high gamma (65-200 Hz) band oscillations are modulated during the task performance. Third, by isolating time-series from specific brain regions of interest, we observe that a subset of the dorsolateral prefrontal cortex features is sufficient to decode the task states. The paper shows that cognitive control evokes robust neurological signatures, especially in the prefrontal cortex (PFC).
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 | 6062-6065 |
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.