Brain oscillations in hearing loss and mild cognitive impairment during speech-in-noise tests
Poster No:
2489
Submission Type:
Abstract Submission
Authors:
Ji-Hye Han1, Jihyun Lee2, Hyo-Jeong Lee3
Institutions:
1Hallym University College of Medicine, Anyang-si, Gyeonggi-do, 2Hallym University College of Medicine, Anyang, Gyeonggi, 3Department of Otorhinolaryngology-Head and Neck Surgery, Hallym University College of Medici, Chuncheon, Kangwon-do
First Author:
Co-Author(s):
Hyo-Jeong Lee
Department of Otorhinolaryngology-Head and Neck Surgery, Hallym University College of Medici
Chuncheon, Kangwon-do
Department of Otorhinolaryngology-Head and Neck Surgery, Hallym University College of Medici
Chuncheon, Kangwon-do
Introduction:
Hearing loss stands as a primary risk factor for dementia, affecting central auditory function and cognitive abilities in elderly individuals. The speech-in-noise (SiN) test, encompassing sensory encoding and cognitive neural processing, serves as a clinical tool for evaluating central auditory function. Although Electroencephalogram (EEG) has a history of quantifying neural responses to speech stimuli, its application in investigating brain response changes concerning hearing and cognitive abilities in older adults has remained limited. This study aims to quantify brain oscillations during SiN listening and their correlation with cognitive abilities in older adults affected by hearing loss (HL) and/or mild cognitive impairment (MCI).
Methods:
This study involved 20 participants, comprising 13 individuals with mild cognitive impairment (MCI), 10 with hearing loss (HL), and 7 experiencing both MCI and HL (MCI+HL). Additionally, 10 individuals with normal hearing (NH) were included as controls. Cognitive function assessment was conducted using the Montreal Cognitive Assessment (MOCA) test. EEG activity was recorded from 64 scalp electrodes while participants actively engaged in the Korean digit-in-noise test. DICS beamforming was employed to estimate the sources of neural activity for each frequency band.
·An experimental procedure for the digit-in-noise test and a sample trial in active listening.
Results:
In behavioral data, both HL groups (HL only and MCI+HL) exhibited lower DiN thresholds compared to the NH and MCI-only groups. Notably, the MCI+HL group demonstrated significanlty reduced DiN accuracy. The HL group displayed enhanced alpha event-related desynchrony (ERD) across broader brain areas compared to the other groups. Additionally, a positive correlation was found between alpha power in the right frontal lobe and DiN performance in the HL group. Conversely, the MCI+HL group revealed enhanced the theta activity in the frontal lobe. Furthermore, theta power in individuals with MCI exhibited a negative association with DiN performance and MOCA scores.
·Correlations between the theta power, DiN performance, MOCA scores in individuals with mild cognitive impairment.
Conclusions:
Our findings suggest that the alpha rhythm might function as a neural marker for auditory attention, whereas the theta rhythm seems to be more responsive to cognitive function. Moreover, neural activity during SiN listening demonstrates correlations not just with listening ability but also with cognitive function.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s)
Modeling and Analysis Methods:
EEG/MEG Modeling and Analysis 2
Perception, Attention and Motor Behavior:
Perception: Auditory/ Vestibular 1
Keywords:
Aging
Electroencephaolography (EEG)
Hearing
Source Localization
1|2Indicates the priority used for review
Provide references using author date format
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