Workload in the human brain can be a useful marker of internal brain state. However, due to technical limitations, previous workload studies have been unable to record brain activity via conventional electroencephalography (EEG) and magnetoencephalography (MEG) devices in mobile participants. In this study, we used a wearable EEG system to estimate workload while participants walked in a naturalistic environment. Specifically, we used the auditory steady-state response (ASSR) which is an oscillatory brain activity evoked by repetitive auditory stimuli, as an estimation index of workload. Participants performed three types of N-back tasks, which were expected to command different workloads, while walking at a constant speed. We used a binaural 500 Hz pure tone with amplitude modulation at 40 Hz to evoke the ASSR. We found that the phase-locking index (PLI) of ASSR activity was significantly correlated with the degree of task difficulty, even for EEG data from few electrodes. Thus, ASSR appears to be an effective indicator of workload during walking in an ecologically valid environment.
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http://dx.doi.org/10.3389/fnhum.2017.00314 | DOI Listing |
J Neurodev Disord
January 2025
Graduate Neuroscience Program, University of California, Riverside, CA, USA.
Background: Fragile X syndrome (FXS) is a leading known genetic cause of intellectual disability and autism spectrum disorders (ASD)-associated behaviors. A consistent and debilitating phenotype of FXS is auditory hypersensitivity that may lead to delayed language and high anxiety. Consistent with findings in FXS human studies, the mouse model of FXS, the Fmr1 knock out (KO) mouse, shows auditory hypersensitivity and temporal processing deficits.
View Article and Find Full Text PDFLin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi
January 2025
To explore the trend of hearing changes in infants with gene p.V37I mutation at different months. The subjects were 54 children(108 ears) with p.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
The Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, 117513 Moscow, Russia.
Auditory neuropathy spectrum disorder (ANSD) is often missed by standard hearing tests, accounting for up to 10% of hearing impairments (HI) and commonly linked to variants in 23 genes. We assessed 122 children with HI, including 102 with sensorineural hearing loss (SNHL) and 20 with ANSD. SNHL patients were genotyped for common variants using qPCR, while ANSD patients underwent whole exome sequencing, with variants analyzed across 249 genes.
View Article and Find Full Text PDFInt J Audiol
December 2024
Department of Otolaryngology-Head and Neck Surgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Objective: To evaluate the effects of changes in group delay from a click signal to a chirp signal on the 40-Hz Auditory Steady-State Response (ASSR) using magnetoencephalography (MEG).
Design: In this study, each participant was exposed to 10 chirp signals with gradually varying group delays from the CE chirp to the click at 60 dB nHL. The 40-Hz ASSR was measured using MEG and evaluated for amplitude and latency in the maximum signal channel at the click signal measured in each hemisphere.
Eur J Neurosci
January 2025
Experimental Otorhinolaryngology, Department of Neurosciences, KU Leuven - University of Leuven, Leuven, Belgium.
Binaural unmasking is a remarkable phenomenon that it is substantially easier to detect a signal in noise when the interaural parameters of the signal are different from those of the noise - a useful mechanism in so-called cocktail party scenarios. In this study, we investigated the effect of binaural unmasking on neural tracking of the speech envelope. We measured EEG in 8 participants who listened to speech in noise at a fixed signal-to-noise ratio, in two conditions: one where speech and noise had the same interaural phase difference (both speech and noise having an opposite waveform across ears, SπNπ), and one where the interaural phase difference of the speech was different from that of the noise (only the speech having an opposite waveform across ears, SπN).
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