A new EEG-based causal information measure for identifying brain connectivity in response to perceived audio quality

Mehta, Ketan; Kliewer, Joerg

doi:10.1109/icc.2017.7996908

2017 IEEE International Conference on Communications (ICC) 2017

DOI: 10.1109/icc.2017.7996908

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A new EEG-based causal information measure for identifying brain connectivity in response to perceived audio quality

Ketan Mehta

Joerg Kliewer

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Cited by 2 publications

References 21 publications

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Directional and Causal Information Flow in EEG for Assessing Perceived Audio Quality

Mehta

Kliewer

2017

IEEE Trans. Mol. Biol. Multi-Scale Commun.

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In this paper, electroencephalography (EEG) measurements are used to infer change in cortical functional connectivity in response to change in audio stimulus. Experiments are conducted wherein the EEG activity of human subjects is recorded as they listen to audio sequences whose quality varies with time. A causal information theoretic framework is then proposed to measure the information flow between EEG sensors appropriately grouped into different regions of interest (ROI) over the cortex. A new causal bidirectional information (CBI) measure is defined as an improvement over standard directed information measures for the purposes of identifying connectivity between ROIs in a generalized cortical network setting. CBI can be intuitively interpreted as a causal bidirectional modification of directed information, and inherently calculates the divergence of the observed data from a multiple access channel with feedback. Further, we determine the analytical relationship between the different causal measures and compare how well they are able to distinguish between the perceived audio quality. The connectivity results inferred indicate a significant change in the rate of information flow between ROIs as the subjects listen to different audio qualities, with CBI being the best in discriminating between the perceived audio quality, compared to using standard directed information measures.

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Directional and Causal Information Flow in EEG for Assessing Perceived Audio Quality

Mehta

Kliewer

2017

IEEE Trans. Mol. Biol. Multi-Scale Commun.

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Toward understanding the neurophysiological basis of peripersonal space: An EEG study on healthy individuals

et al. 2019

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The subcortical mechanisms subtending the sensorimotor processes related to the peripersonal space (PPS) have been well characterized, whereas less evidence is available concerning the cortical mechanisms. We investigated the theta, alpha and beta event-related spectral perturbations (ERSP) while holding the forearm in different positions into the PPS of the face. Fifty healthy individuals were subjected to EEG recording while being provided with median nerve electric stimulation at the wrist of the right hand held at different hand-to-face distances. Theta and beta rhythms were significantly perturbed depending on the hand-to-face distance, whereas alpha oscillations reflected a more general, non-specific oscillatory response to the motor task. The perturbation of theta and beta frequency bands may reflect the processes of top-down modulation overseeing the conscious spatiotemporal encoding of sensory-motor information within the PPS. In other words, such perturbation reflects the continuous update of the conscious internal representations of the PPS to build up a purposeful and reflexive motor response.

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A new EEG-based causal information measure for identifying brain connectivity in response to perceived audio quality

Cited by 2 publications

References 21 publications

Directional and Causal Information Flow in EEG for Assessing Perceived Audio Quality

Directional and Causal Information Flow in EEG for Assessing Perceived Audio Quality

Toward understanding the neurophysiological basis of peripersonal space: An EEG study on healthy individuals

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