EEG Phase Synchrony Reflects SNR Levels During Continuous Speech-in-Noise Tasks
- Resource Type
- Conference
- Authors
- Baboukani, Payam Shahsavari; Graversen, Carina; Alickovic, Emina; Ostergaard, Jan
- Source
- 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Engineering in Medicine & Biology Society (EMBC), 2021 43rd Annual International Conference of the IEEE. :531-534 Nov, 2021
- Subject
- Bioengineering
Phase measurement
Atmospheric measurements
Auditory system
Tools
Particle measurements
Electroencephalography
Biology
Hearing impairment
speech in noise
multivariate phase synchrony
local connectivity
EEG
- Language
- ISSN
- 2694-0604
Comprehension of speech in noise is a challenge for hearing-impaired (HI) individuals. Electroencephalography (EEG) provides a tool to investigate the effect of different levels of signal-to-noise ratio (SNR) of the speech. Most studies with EEG have focused on spectral power in well-defined frequency bands such as alpha band. In this study, we investigate how local functional connectivity, i.e. functional connectivity within a localized region of the brain, is affected by two levels of SNR. Twenty-two HI participants performed a continuous speech in noise task at two different SNRs (+3 dB and +8 dB). The local connectivity within eight regions of interest was computed by using a multivariate phase synchrony measure on EEG data. The results showed that phase synchrony increased in the parietal and frontal area as a response to increasing SNR. We contend that local connectivity measures can be used to discriminate between speech-evoked EEG responses at different SNRs.