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ORIGINAL RESEARCH article

Front. Hum. Neurosci.
Sec. Brain-Computer Interfaces
Volume 18 - 2024 | doi: 10.3389/fnhum.2024.1388267

Consistent Spectro-Spatial Features of Human ECoG Successfully Decode Naturalistic Behavioral States Provisionally Accepted

  • 1Kuwait University, Kuwait
  • 2University of California, San Diego, United States

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Objective Understanding the neural correlates of naturalistic behavior is critical for extending and confirming the results obtained from trial-based experiments and designing generalizable brain-computer interfaces that can operate outside laboratory environments. In this study, we aimed to pinpoint consistent spectro-spatial features of neural activity in humans that can discriminate between naturalistic behavioral states.Approach We analyzed data from five participants using electrocorticography (ECoG) with broad spatial coverage. Spontaneous and naturalistic behaviors such as "Talking" and "Watching TV" were labeled from manually annotated videos. Linear discriminant analysis (LDA) was used to classify the two behavioral states. The parameters learned from the LDA were then used to determine whether the neural signatures driving classification performance are consistent across the participants.Main Results Spectro-spatial feature values were consistently discriminative between the two labeled behavioral states across participants. Mainly, θ, α, and low and high γ in the postcentral gyrus, precentral gyrus, and temporal lobe showed significant classification performance and feature consistency across participants. Subject-specific performance exceeded 70%. Combining neural activity from multiple cortical regions generally does not improve Alasfour et al.decoding performance, suggesting that information regarding the behavioral state is non-additive as a function of the cortical region.Significance To the best of our knowledge, this is the first attempt to identify specific spectro-spatial neural correlates that consistently decode naturalistic and active behavioral states. The aim of this work is to serve as an initial starting point for developing brain-computer interfaces that can be generalized in a realistic setting and to further our understanding of the neural correlates of naturalistic behavior in humans.

Keywords: Brain-Computer Interfaces, neural decoding, neural signal processing, Naturalistic behavior, ECoG

Received: 19 Feb 2024; Accepted: 19 Apr 2024.

Copyright: © 2024 Alasfour and Gilja. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Abdulwahab Alasfour, Kuwait University, Kuwait City, Kuwait