Time course of EEG complexity reflects attentional engagement during listening to speech in noise DOI Open Access
Ehsan Eqlimi, Annelies Bockstael, Marc Schönwiesner

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июль 11, 2023

Distraction caused by auditory noise poses a considerable challenge to the quality of information encoding in speech comprehension. The aim this study was explore temporal dynamics and complexity electroencephalog-raphy (EEG) microstates relation attentional engage-ment over time, contributing understanding perception noise. We examined three listening condi-tions: with background noise, focused attention on intentional disre-gard Our findings revealed an increase during transition slower microstate recurrence when individuals directed their compared tasks without speech. Additionally, two-stage time course for both alpha-to-theta power ratio observed. Specifically, early epochs, lower level observed, which gradually increased eventually reached steady later epochs. suggest that ini-tial stage is primarily driven sensory processes infor-mation gathering, while second involves higher-level cognitive engagement, including mnemonic binding memory encoding.

Язык: Английский

Time course of EEG complexity reflects attentional engagement during listening to speech in noise DOI
Ehsan Eqlimi, Annelies Bockstael, Marc Schönwiesner

и другие.

European Journal of Neuroscience, Год журнала: 2023, Номер 58(9), С. 4043 - 4069

Опубликована: Окт. 9, 2023

Auditory distractions are recognized to considerably challenge the quality of information encoding during speech comprehension. This study explores electroencephalography (EEG) microstate dynamics in ecologically valid, noisy settings, aiming uncover how these auditory influence process We examined three listening scenarios: (1) perception with background noise (LA), (2) focused attention on (BA), and (3) intentional disregard (BUA). Our findings showed that complexity unpredictability increased when was directed towards compared tasks without (LA > BA & BUA). Notably, time elapsed between recurrence microstates significantly LA both BUA. suggests coping comprehension demands more sustained cognitive effort. Additionally, a two-stage course for alpha-to-theta power ratio observed. Specifically, early epochs, lower level observed, which gradually eventually reached steady later epochs. The suggest initial stage is primarily driven by sensory processes gathering, while second involves higher engagement, including mnemonic binding memory encoding.

Язык: Английский

Процитировано

1
Time course of EEG complexity reflects attentional engagement during listening to speech in noise DOI Open Access
Ehsan Eqlimi, Annelies Bockstael, Marc Schönwiesner

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июль 11, 2023

Distraction caused by auditory noise poses a considerable challenge to the quality of information encoding in speech comprehension. The aim this study was explore temporal dynamics and complexity electroencephalog-raphy (EEG) microstates relation attentional engage-ment over time, contributing understanding perception noise. We examined three listening condi-tions: with background noise, focused attention on intentional disre-gard Our findings revealed an increase during transition slower microstate recurrence when individuals directed their compared tasks without speech. Additionally, two-stage time course for both alpha-to-theta power ratio observed. Specifically, early epochs, lower level observed, which gradually increased eventually reached steady later epochs. suggest that ini-tial stage is primarily driven sensory processes infor-mation gathering, while second involves higher-level cognitive engagement, including mnemonic binding memory encoding.

Язык: Английский

Процитировано

0