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Zhao R, Yue T, Xu Z, Zhang Y, Wu Y, Bai Y, Ni G, Ming D. Electroencephalogram-based objective assessment of cognitive function level associated with age-related hearing loss. GeroScience 2024; 46:431-446. [PMID: 37273160 PMCID: PMC10828275 DOI: 10.1007/s11357-023-00847-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/29/2023] [Indexed: 06/06/2023] Open
Abstract
Age-Related Hearing Loss (ARHL) is a common problem in aging. Numerous longitudinal cohort studies have revealed that ARHL is closely related to cognitive function, leading to a significant risk of cognitive decline and dementia. This risk gradually increases with the severity of hearing loss. We designed dual auditory Oddball and cognitive task paradigms for the ARHL subjects, then obtained the Montreal Cognitive Assessment (MoCA) scale evaluation results for all the subjects. Multi-dimensional EEG characteristics helped explore potential biomarkers to evaluate the cognitive level of the ARHL group, having a significantly lower P300 peak amplitude coupled with a prolonged latency. Moreover, visual memory, auditory memory, and logical calculation were investigated during the cognitive task paradigm. In the ARHL groups, the alpha-to-beta rhythm energy ratio in the visual and auditory memory retention period and the wavelet packet entropy value within the logical calculation period were significantly reduced. Correlation analysis between the above specificity indicators and the subjective scale results of the ARHL group revealed that the auditory P300 component characteristics could assess attention resources and information processing speed. The alpha and beta rhythm energy ratio and wavelet packet entropy can become potential indicators to determine working memory and logical cognitive computation-related cognitive ability.
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Affiliation(s)
- Ran Zhao
- Academy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, China
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, 300072, China
- Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, 300392, China
| | - Tao Yue
- Academy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, China
| | - Zihao Xu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, China
| | - Yunqi Zhang
- School of Education, Tianjin University, Tianjin, China
| | - Yubo Wu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, China
| | - Yanru Bai
- Academy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, China.
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, 300072, China.
- Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, 300392, China.
| | - Guangjian Ni
- Academy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, China.
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, 300072, China.
- Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, 300392, China.
| | - Dong Ming
- Academy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, China
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, 300072, China
- Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, 300392, China
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Wang Y, Gao Y, Zhao M, Hu X, Wang J, Han Y, Wang Q, Fu X, Dai Z, Ren F, Li M, Gao F. Abnormal white and gray matter functional connectivity is associated with cognitive dysfunction in presbycusis. Cereb Cortex 2024; 34:bhad495. [PMID: 38112670 DOI: 10.1093/cercor/bhad495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/21/2023] Open
Abstract
Presbycusis is characterized by high-frequency hearing loss and is closely associated with cognitive decline. Previous studies have observed functional reorganization of gray matter in presbycusis, but the information transmission between gray matter and white matter remains ill-defined. Using resting-state functional magnetic resonance imaging, we investigated differences in functional connectivity (GM-GM, WM-WM, and GM-WM) between 60 patients with presbycusis and 57 healthy controls. Subsequently, we examined the correlation between these connectivity differences with high-frequency hearing loss as well as cognitive impairment. Our results revealed significant alterations in functional connectivity involving the body of the corpus callosum, posterior limbs of the internal capsule, retrolenticular region of the internal capsule, and the gray matter regions in presbycusis. Notably, disrupted functional connectivity was observed between the body of the corpus callosum and ventral anterior cingulate cortex in presbycusis, which was associated with impaired attention. Additionally, enhanced functional connectivity was found in presbycusis between the internal capsule and the ventral auditory processing stream, which was related to impaired cognition in multiple domains. These two patterns of altered functional connectivity between gray matter and white matter may involve both bottom-up and top-down regulation of cognitive function. These findings provide novel insights into understanding cognitive compensation and resource redistribution mechanisms in presbycusis.
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Affiliation(s)
- Yao Wang
- School of Life Sciences, Tiangong University, Tianjin 300387, China
- Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tiangong University, Tianjin 300387, China
| | - Yuting Gao
- School of Life Sciences, Tiangong University, Tianjin 300387, China
| | - Min Zhao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Xin Hu
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Jing Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Yu Han
- School of Life Sciences, Tiangong University, Tianjin 300387, China
| | - Qinghui Wang
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan 250021, Shandong, China
| | - Xinxing Fu
- Beijing Institute of Otolaryngology, Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100069, China
| | - Zongrui Dai
- Department of Biostatistics, University of Michigan Ann Arbor, Ann Arbor, MI 48109, United States
| | - Funxin Ren
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Muwei Li
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Fei Gao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
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Wang S, Chen Y, Liu Y, Yang L, Wang Y, Fu X, Hu J, Pugh E, Wang S. Aging effects on dual-route speech processing networks during speech perception in noise. Hum Brain Mapp 2024; 45:e26577. [PMID: 38224542 PMCID: PMC10789214 DOI: 10.1002/hbm.26577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 11/28/2023] [Accepted: 12/16/2023] [Indexed: 01/17/2024] Open
Abstract
Healthy aging leads to complex changes in the functional network of speech processing in a noisy environment. The dual-route neural architecture has been applied to the study of speech processing. Although evidence suggests that senescent increases activity in the brain regions across the dorsal and ventral stream regions to offset reduced periphery, the regulatory mechanism of dual-route functional networks underlying such compensation remains largely unknown. Here, by utilizing functional near-infrared spectroscopy (fNIRS), we investigated the compensatory mechanism of the dual-route functional connectivity, and its relationship with healthy aging by using a speech perception task at varying signal-to-noise ratios (SNR) in healthy individuals (young adults, middle-aged adults, and older adults). Results showed that the speech perception scores showed a significant age-related decrease with the reduction of the SNR. The analysis results of dual-route speech processing networks showed that the functional connection of Wernicke's area and homolog Wernicke's area were age-related increases. Further to clarify the age-related characteristics of the dual-route speech processing networks, graph-theoretical network analysis revealed an age-related increase in the efficiency of the networks, and the age-related differences in nodal characteristics were found both in Wernicke's area and homolog Wernicke's area under noise environment. Thus, Wernicke's area might be a key network hub to maintain efficient information transfer across the speech process network with healthy aging. Moreover, older adults would recruit more resources from the homologous Wernicke's area in a noisy environment. The recruitment of the homolog of Wernicke's area might provide a means of compensation for older adults for decoding speech in an adverse listening environment. Together, our results characterized dual-route speech processing networks at varying noise environments and provided new insight for the compensatory theories of how aging modulates the dual-route speech processing functional networks.
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Affiliation(s)
- Songjian Wang
- Beijing Institute of Otolaryngology, Otolaryngology‐Head and Neck SurgeryKey Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical UniversityBeijingChina
| | - Younuo Chen
- Beijing Institute of Otolaryngology, Otolaryngology‐Head and Neck SurgeryKey Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical UniversityBeijingChina
| | - Yi Liu
- Beijing Institute of Otolaryngology, Otolaryngology‐Head and Neck SurgeryKey Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical UniversityBeijingChina
| | - Liu Yang
- Beijing Institute of Otolaryngology, Otolaryngology‐Head and Neck SurgeryKey Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical UniversityBeijingChina
| | - Yuan Wang
- Beijing Institute of Otolaryngology, Otolaryngology‐Head and Neck SurgeryKey Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical UniversityBeijingChina
| | - Xinxing Fu
- Beijing Institute of Otolaryngology, Otolaryngology‐Head and Neck SurgeryKey Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical UniversityBeijingChina
| | - Jiong Hu
- Department of AudiologyUniversity of the PacificSan FranciscoCaliforniaUSA
| | | | - Shuo Wang
- Beijing Institute of Otolaryngology, Otolaryngology‐Head and Neck SurgeryKey Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical UniversityBeijingChina
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Diao T, Ma X, Fang X, Duan M, Yu L. Compensation in neuro-system related to age-related hearing loss. Acta Otolaryngol 2024; 144:30-34. [PMID: 38265951 DOI: 10.1080/00016489.2023.2295400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 01/26/2024]
Abstract
BACKGROUND Age-related hearing loss (ARHL) is a major cause of chronic disability among the elderly. Individuals with ARHL not only have trouble hearing sounds, but also with speech perception. As the perception of auditory information is reliant on integration between widespread brain networks to interpret auditory stimuli, both auditory and extra-auditory systems which mainly include visual, motor and attention systems, play an important role in compensating for ARHL. OBJECTIVES To better understand the compensatory mechanism of ARHL and inspire better interventions that may alleviate ARHL. METHODS We mainly focus on the existing information on ARHL-related central compensation. The compensatory effects of hearing aids (HAs) and cochlear implants (CIs) on ARHL were also discussed. RESULTS Studies have shown that ARHL can induce cochlear hair cell damage or loss and cochlear synaptopathy, which could induce central compensation including compensation of auditory and extra-auditory neural networks. The use of HAs and CIs can improve bottom-up processing by enabling 'better' input to the auditory pathways and then to the cortex by enhancing the diminished auditory signal. CONCLUSIONS The central compensation of ARHL and its possible correlation with HAs and CIs are current hotspots in the field and should be given focus in future research.
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Affiliation(s)
- Tongxiang Diao
- Department of Otolaryngology, Head and Neck Surgery, People's Hospital, Peking University, Beijing, China
| | - Xin Ma
- Department of Otolaryngology, Head and Neck Surgery, People's Hospital, Peking University, Beijing, China
| | - Xuan Fang
- Department of Human Anatomy, Histology & Embryology, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Maoli Duan
- Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden
- Department of Otolaryngology, Head and Neck Surgery & Audiology and Neurotology, Karolinska University Hospital, Karolinska Institute, Stockholm, Sweden
| | - Lisheng Yu
- Department of Otolaryngology, Head and Neck Surgery, People's Hospital, Peking University, Beijing, China
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Loughrey DG, Jordan C, Ibanez A, Parra MA, Lawlor BA, Reilly RB. Age-related hearing loss associated with differences in the neural correlates of feature binding in visual working memory. Neurobiol Aging 2023; 132:233-245. [PMID: 37866083 DOI: 10.1016/j.neurobiolaging.2023.09.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 08/09/2023] [Accepted: 09/25/2023] [Indexed: 10/24/2023]
Abstract
The underlying neural mechanisms underpinning the association between age-related hearing loss (ARHL) and dementia remain unclear. A limitation has been the lack of functional neuroimaging studies in ARHL cohorts to help clarify this relationship. In the present study, we investigated the neural correlates of feature binding in visual working memory with ARHL (controls = 14, mild HL = 21, and moderate or greater HL = 23). Participants completed a visual change detection task assessing feature binding while their neural activity was synchronously recorded via high-density electroencephalography. There was no difference in accuracy scores for ARHL groups compared to controls. There was increased electrophysiological activity in those with ARHL, particularly in components indexing the earlier stages of visual cognitive processing. This activity was more pronounced with more severe ARHL and was associated with maintained feature binding. Source space (sLORETA) analyses indicated greater activity in networks modulated by frontoparietal and temporal regions. Our results demonstrate there may be increased involvement of neurocognitive control networks to maintain lower-order neurocognitive processing disrupted by ARHL.
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Affiliation(s)
- David G Loughrey
- Global Brain Health Institute, Trinity College, The University of Dublin, Ireland; Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA; Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Ireland.
| | - Catherine Jordan
- Global Brain Health Institute, Trinity College, The University of Dublin, Ireland; Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA
| | - Agustin Ibanez
- Global Brain Health Institute, Trinity College, The University of Dublin, Ireland; Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA; Cognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Mario A Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Brian A Lawlor
- Global Brain Health Institute, Trinity College, The University of Dublin, Ireland; Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA
| | - Richard B Reilly
- Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Ireland; Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Ireland; School of Engineering, Trinity College, The University of Dublin, Ireland; School of Medicine, Trinity College, The University of Dublin, Ireland
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Moinuddin KA, Havugimana F, Al-Fahad R, Bidelman GM, Yeasin M. Unraveling Spatial-Spectral Dynamics of Speech Categorization Speed Using Convolutional Neural Networks. Brain Sci 2022; 13:brainsci13010075. [PMID: 36672055 PMCID: PMC9856675 DOI: 10.3390/brainsci13010075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/22/2022] [Accepted: 12/24/2022] [Indexed: 12/31/2022] Open
Abstract
The process of categorizing sounds into distinct phonetic categories is known as categorical perception (CP). Response times (RTs) provide a measure of perceptual difficulty during labeling decisions (i.e., categorization). The RT is quasi-stochastic in nature due to individuality and variations in perceptual tasks. To identify the source of RT variation in CP, we have built models to decode the brain regions and frequency bands driving fast, medium and slow response decision speeds. In particular, we implemented a parameter optimized convolutional neural network (CNN) to classify listeners' behavioral RTs from their neural EEG data. We adopted visual interpretation of model response using Guided-GradCAM to identify spatial-spectral correlates of RT. Our framework includes (but is not limited to): (i) a data augmentation technique designed to reduce noise and control the overall variance of EEG dataset; (ii) bandpower topomaps to learn the spatial-spectral representation using CNN; (iii) large-scale Bayesian hyper-parameter optimization to find best performing CNN model; (iv) ANOVA and posthoc analysis on Guided-GradCAM activation values to measure the effect of neural regions and frequency bands on behavioral responses. Using this framework, we observe that α-β (10-20 Hz) activity over left frontal, right prefrontal/frontal, and right cerebellar regions are correlated with RT variation. Our results indicate that attention, template matching, temporal prediction of acoustics, motor control, and decision uncertainty are the most probable factors in RT variation.
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Affiliation(s)
| | - Felix Havugimana
- Department of EECE, University of Memphis, Memphis, TN 38152, USA
| | - Rakib Al-Fahad
- Department of EECE, University of Memphis, Memphis, TN 38152, USA
| | - Gavin M. Bidelman
- Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington, IN 47408, USA
| | - Mohammed Yeasin
- Department of EECE, University of Memphis, Memphis, TN 38152, USA
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Kuruvilla-Mathew A, Thorne PR, Purdy SC. Effects of aging on neural processing during an active listening task. PLoS One 2022; 17:e0273304. [PMID: 36070253 PMCID: PMC9451064 DOI: 10.1371/journal.pone.0273304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/06/2022] [Indexed: 11/18/2022] Open
Abstract
Factors affecting successful listening in older adults and the corresponding electrophysiological signatures are not well understood. The present study investigated age-related differences in attention and temporal processing, as well as differences in the neural activity related to signal degradation during a number comparison task. Participants listened to digits presented in background babble and were tested at two levels of signal clarity, clear and degraded. Behavioral and electrophysiological measures were examined in 30 older and 20 younger neurologically-healthy adults. Relationships between performance on the number comparison task, behavioral measures, and neural activity were used to determine correlates of listening deficits associated with aging. While older participants showed poorer performance overall on all behavioral measures, their scores on the number comparison task were largely predicted (based on regression analyses) by their sensitivity to temporal fine structure cues. Compared to younger participants, older participants required higher signal-to-noise ratios (SNRs) to achieve equivalent performance on the number comparison task. With increasing listening demands, age-related changes were observed in neural processing represented by the early-N1 and later-P3 time windows. Source localization analyses revealed age differences in source activity for the degraded listening condition that was located in the left prefrontal cortex. In addition, this source activity negatively correlated with task performance in the older group. Together, these results suggest that older adults exhibit reallocation of processing resources to complete a demanding listening task. However, this effect was evident only for poorer performing older adults who showed greater posterior to anterior shift in P3 response amplitudes than older adults who were good performers and younger adults. These findings might reflect less efficient recruitment of neural resources that is associated with aging during effortful listening performance.
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Affiliation(s)
- Abin Kuruvilla-Mathew
- Speech Science, School of Psychology, University of Auckland, Auckland, New Zealand
- Eisdell Moore Centre, University of Auckland, Auckland, New Zealand
- * E-mail:
| | - Peter R. Thorne
- Eisdell Moore Centre, University of Auckland, Auckland, New Zealand
- Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, University of Auckland, Auckland, New Zealand
| | - Suzanne C. Purdy
- Speech Science, School of Psychology, University of Auckland, Auckland, New Zealand
- Eisdell Moore Centre, University of Auckland, Auckland, New Zealand
- Brain Research New Zealand, University of Auckland, Auckland, New Zealand
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Feng Y, Peng G, Wang WSY. Categorical Perception of Lexical Tones in Mandarin-Speaking Seniors. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:2789-2800. [PMID: 35868247 DOI: 10.1044/2022_jslhr-21-00584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
PURPOSE This study aims to investigate the different degeneration processes of categorical perception (CP) of Mandarin lexical tones in the normal aging population and the pathological aging population with mild cognitive impairment (MCI). METHOD In Experiment I, we compared the identification and discrimination of Tone 1 and Tone 2 across young adults, seniors aged 60-65 years, and older seniors aged 75-80 years with normal cognitive abilities. In Experiment II, we compared lexical tone identification and discrimination across young adults, healthy seniors, and age-matched seniors with MCI. RESULTS In Experiment I, tone perception was intact in seniors aged below 65 years. Those aged above 75 years could also maintain normal tone identification, whereas they showed poorer tone discrimination correlated with age-related poorer hearing level. In Experiment II, healthy seniors showed normal CP of Mandarin tones. Tone identification was also normal in those with MCI, whereas their tone discrimination had significantly degenerated. CONCLUSIONS In the normal aging population, age-related hearing loss decreased signal audibility, accounting for poorer discrimination of Mandarin lexical tones in seniors above 75 years. In the pathological aging population with MCI, the poorer discrimination of lexical tones may be attributed to the additive effect of age, hearing loss, and cognitive impairment (e.g., impaired working memory and long-term phonological memory). This study uncovered the roles of low-level sensory processing and high-level cognitive processing in lexical tone perception in the Chinese aging population.
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Affiliation(s)
- Yan Feng
- School of Foreign Studies, Nanjing University of Science and Technology, China
- Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University
| | - Gang Peng
- Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
| | - William Shi-Yuan Wang
- Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University
- Department of Electronic Engineering, The Chinese University of Hong Kong
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Shahsavari Baboukani P, Graversen C, Alickovic E, Østergaard J. Speech to noise ratio improvement induces nonlinear parietal phase synchrony in hearing aid users. Front Neurosci 2022; 16:932959. [PMID: 36017182 PMCID: PMC9396236 DOI: 10.3389/fnins.2022.932959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesComprehension of speech in adverse listening conditions is challenging for hearing-impaired (HI) individuals. Noise reduction (NR) schemes in hearing aids (HAs) have demonstrated the capability to help HI to overcome these challenges. The objective of this study was to investigate the effect of NR processing (inactive, where the NR feature was switched off, vs. active, where the NR feature was switched on) on correlates of listening effort across two different background noise levels [+3 dB signal-to-noise ratio (SNR) and +8 dB SNR] by using a phase synchrony analysis of electroencephalogram (EEG) signals.DesignThe EEG was recorded while 22 HI participants fitted with HAs performed a continuous speech in noise (SiN) task in the presence of background noise and a competing talker. The phase synchrony within eight regions of interest (ROIs) and four conventional EEG bands was computed by using a multivariate phase synchrony measure.ResultsThe results demonstrated that the activation of NR in HAs affects the EEG phase synchrony in the parietal ROI at low SNR differently than that at high SNR. The relationship between conditions of the listening task and phase synchrony in the parietal ROI was nonlinear.ConclusionWe showed that the activation of NR schemes in HAs can non-linearly reduce correlates of listening effort as estimated by EEG-based phase synchrony. We contend that investigation of the phase synchrony within ROIs can reflect the effects of HAs in HI individuals in ecological listening conditions.
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Affiliation(s)
- Payam Shahsavari Baboukani
- Department of Electronic Systems, Aalborg University, Aalborg, Denmark
- *Correspondence: Payam Shahsavari Baboukani
| | - Carina Graversen
- Integrative Neuroscience, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
- Department of Health Science and Technology, Center for Neuroplasticity and Pain (CNAP), Aalborg University, Aalborg, Denmark
| | - Emina Alickovic
- Eriksholm Research Centre, Snekkersten, Denmark
- Department of Electrical Engineering, Linköping University, Linköping, Sweden
| | - Jan Østergaard
- Department of Electronic Systems, Aalborg University, Aalborg, Denmark
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Hua JC, Xu XM, Xu ZG, Xu JJ, Hu JH, Xue Y, Wu Y. Aberrant Functional Network of Small-World in Sudden Sensorineural Hearing Loss With Tinnitus. Front Neurosci 2022; 16:898902. [PMID: 35663555 PMCID: PMC9160300 DOI: 10.3389/fnins.2022.898902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 04/20/2022] [Indexed: 11/30/2022] Open
Abstract
Few researchers investigated the topological properties and relationships with cognitive deficits in sudden sensorineural hearing loss (SNHL) with tinnitus. To explore the topological characteristics of the brain connectome following SNHL from the global level and nodal level, we recruited 36 bilateral SNHL patients with tinnitus and 37 well-matched healthy controls. Every subject underwent pure tone audiometry tests, neuropsychological assessments, and MRI scanning. AAL atlas was employed to divide a brain into 90 cortical and subcortical regions of interest, then investigated the global and nodal properties of “small world” network in SNHL and control groups using a graph-theory analysis. The global characteristics include small worldness, cluster coefficient, characteristic path length, local efficiency, and global efficiency. Node properties include degree centrality, betweenness centrality, nodal efficiency, and nodal clustering coefficient. Interregional connectivity analysis was also computed among 90 nodes. We found that the SNHL group had significantly higher hearing thresholds and cognitive impairments, as well as disrupted internal connections among 90 nodes. SNHL group displayed lower AUC of cluster coefficient and path length lambda, but increased global efficiency. The opercular and triangular parts of the inferior frontal gyrus, rectus gyrus, parahippocampal gyrus, precuneus, and amygdala showed abnormal local features. Some of these connectome alterations were correlated with cognitive ability and the duration of SNHL. This study may prove potential imaging biomarkers and treatment targets for future studies.
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Affiliation(s)
- Jin-Chao Hua
- Department of Otolaryngology, Nanjing Pukou Central Hospital, Pukou Branch Hospital of Jiangsu Province Hospital, Nanjing, China
| | - Xiao-Min Xu
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Zhen-Gui Xu
- Department of Otolaryngology, Nanjing Pukou Central Hospital, Pukou Branch Hospital of Jiangsu Province Hospital, Nanjing, China
| | - Jin-Jing Xu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jing-Hua Hu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yuan Xue
- Department of Otolaryngology, Nanjing Pukou Central Hospital, Pukou Branch Hospital of Jiangsu Province Hospital, Nanjing, China
- *Correspondence: Yuan Xue,
| | - Yuanqing Wu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Yuanqing Wu,
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Chen J, Zhao Y, Zou T, Wen X, Zhou X, Yu Y, Liu Z, Li M. Sensorineural Hearing Loss Affects Functional Connectivity of the Auditory Cortex, Parahippocampal Gyrus and Inferior Prefrontal Gyrus in Tinnitus Patients. Front Neurosci 2022; 16:816712. [PMID: 35431781 PMCID: PMC9011051 DOI: 10.3389/fnins.2022.816712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/10/2022] [Indexed: 11/22/2022] Open
Abstract
Background Tinnitus can interfere with a patient’s speech discrimination, but whether tinnitus itself or the accompanying sensorineural hearing loss (SNHL) causes this interference is still unclear. We analyzed event-related electroencephalograms (EEGs) to observe auditory-related brain function and explore the possible effects of SNHL on auditory processing in tinnitus patients. Methods Speech discrimination scores (SDSs) were recorded in 21 healthy control subjects, 24 tinnitus patients, 24 SNHL patients, and 27 patients with both SNHL and tinnitus. EEGs were collected under an oddball paradigm. Then, the mismatch negativity (MMN) amplitude and latency, the clustering coefficient and average path length of the whole network in the tinnitus and SNHL groups were compared with those in the control group. Additionally, we analyzed the intergroup differences in functional connectivity among the primary auditory cortex (AC), parahippocampal gyrus (PHG), and inferior frontal gyrus (IFG). Results SNHL patients with or without tinnitus had lower SDSs than the control subjects. Compared with control subjects, tinnitus patients with or without SNHL had decreased MMN amplitudes, and SNHL patients had longer MMN latencies. Tinnitus patients without SNHL had a smaller clustering coefficient and a longer whole-brain average path length than the control subjects. SNHL patients with or without tinnitus had a smaller clustering coefficient and a longer average path length than patients with tinnitus alone. The connectivity strength from the AC to the PHG and IFG was lower on the affected side in tinnitus patients than that in control subjects; the connectivity strength from the PHG to the IFG was also lower on the affected side in tinnitus patients than that in control subjects. However, the connectivity strength from the IFG to the AC was stronger in tinnitus patients than that in the control subjects. In SNHL patients with or without tinnitus, these changes were magnified. Conclusion Changes in auditory processing in tinnitus patients do not influence SDSs. Instead, SNHL might cause the activity of the AC, PHG and IFG to change, resulting in impaired speech recognition in tinnitus patients with SNHL.
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12
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Gillis M, Decruy L, Vanthornhout J, Francart T. Hearing loss is associated with delayed neural responses to continuous speech. Eur J Neurosci 2022; 55:1671-1690. [PMID: 35263814 DOI: 10.1111/ejn.15644] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 02/21/2022] [Accepted: 02/23/2022] [Indexed: 11/28/2022]
Abstract
We investigated the impact of hearing loss on the neural processing of speech. Using a forward modeling approach, we compared the neural responses to continuous speech of 14 adults with sensorineural hearing loss with those of age-matched normal-hearing peers. Compared to their normal-hearing peers, hearing-impaired listeners had increased neural tracking and delayed neural responses to continuous speech in quiet. The latency also increased with the degree of hearing loss. As speech understanding decreased, neural tracking decreased in both populations; however, a significantly different trend was observed for the latency of the neural responses. For normal-hearing listeners, the latency increased with increasing background noise level. However, for hearing-impaired listeners, this increase was not observed. Our results support the idea that the neural response latency indicates the efficiency of neural speech processing: more or different brain regions are involved in processing speech, which causes longer communication pathways in the brain. These longer communication pathways hamper the information integration among these brain regions, reflected in longer processing times. Altogether, this suggests decreased neural speech processing efficiency in HI listeners as more time and more or different brain regions are required to process speech. Our results suggest that this reduction in neural speech processing efficiency occurs gradually as hearing deteriorates. From our results, it is apparent that sound amplification does not solve hearing loss. Even when listening to speech in silence at a comfortable loudness, hearing-impaired listeners process speech less efficiently.
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Affiliation(s)
- Marlies Gillis
- KU Leuven, Department of Neurosciences, ExpORL, Leuven, Belgium
| | - Lien Decruy
- Institute for Systems Research, University of Maryland, College Park, MD, USA
| | | | - Tom Francart
- KU Leuven, Department of Neurosciences, ExpORL, Leuven, Belgium
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13
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Eckert MA, Teubner-Rhodes S, Vaden KI, Ahlstrom JB, McClaskey CM, Dubno JR. Unique patterns of hearing loss and cognition in older adults' neural responses to cues for speech recognition difficulty. Brain Struct Funct 2022; 227:203-218. [PMID: 34632538 PMCID: PMC9044122 DOI: 10.1007/s00429-021-02398-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 09/26/2021] [Indexed: 01/31/2023]
Abstract
Older adults with hearing loss experience significant difficulties understanding speech in noise, perhaps due in part to limited benefit from supporting executive functions that enable the use of environmental cues signaling changes in listening conditions. Here we examined the degree to which 41 older adults (60.56-86.25 years) exhibited cortical responses to informative listening difficulty cues that communicated the listening difficulty for each trial compared to neutral cues that were uninformative of listening difficulty. Word recognition was significantly higher for informative compared to uninformative cues in a + 10 dB signal-to-noise ratio (SNR) condition, and response latencies were significantly shorter for informative cues in the + 10 dB SNR and the more-challenging + 2 dB SNR conditions. Informative cues were associated with elevated blood oxygenation level-dependent contrast in visual and parietal cortex. A cue-SNR interaction effect was observed in the cingulo-opercular (CO) network, such that activity only differed between SNR conditions when an informative cue was presented. That is, participants used the informative cues to prepare for changes in listening difficulty from one trial to the next. This cue-SNR interaction effect was driven by older adults with more low-frequency hearing loss and was not observed for those with more high-frequency hearing loss, poorer set-shifting task performance, and lower frontal operculum gray matter volume. These results suggest that proactive strategies for engaging CO adaptive control may be important for older adults with high-frequency hearing loss to optimize speech recognition in changing and challenging listening conditions.
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Affiliation(s)
- Mark A. Eckert
- Hearing Research Program, Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Avenue, MSC 55, Charleston, SC 29425-5500, USA
| | | | - Kenneth I. Vaden
- Hearing Research Program, Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Avenue, MSC 55, Charleston, SC 29425-5500, USA
| | - Jayne B. Ahlstrom
- Hearing Research Program, Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Avenue, MSC 55, Charleston, SC 29425-5500, USA
| | - Carolyn M. McClaskey
- Hearing Research Program, Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Avenue, MSC 55, Charleston, SC 29425-5500, USA
| | - Judy R. Dubno
- Hearing Research Program, Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Avenue, MSC 55, Charleston, SC 29425-5500, USA
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14
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Kommajosyula SP, Bartlett EL, Cai R, Ling L, Caspary DM. Corticothalamic projections deliver enhanced responses to medial geniculate body as a function of the temporal reliability of the stimulus. J Physiol 2021; 599:5465-5484. [PMID: 34783016 PMCID: PMC10630908 DOI: 10.1113/jp282321] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/11/2021] [Indexed: 01/12/2023] Open
Abstract
Ageing and challenging signal-in-noise conditions are known to engage the use of cortical resources to help maintain speech understanding. Extensive corticothalamic projections are thought to provide attentional, mnemonic and cognitive-related inputs in support of sensory inferior colliculus (IC) inputs to the medial geniculate body (MGB). Here we show that a decrease in modulation depth, a temporally less distinct periodic acoustic signal, leads to a jittered ascending temporal code, changing MGB unit responses from adapting responses to responses showing repetition enhancement, posited to aid identification of important communication and environmental sounds. Young-adult male Fischer Brown Norway rats, injected with the inhibitory opsin archaerhodopsin T (ArchT) into the primary auditory cortex (A1), were subsequently studied using optetrodes to record single-units in MGB. Decreasing the modulation depth of acoustic stimuli significantly increased repetition enhancement. Repetition enhancement was blocked by optical inactivation of corticothalamic terminals in MGB. These data support a role for corticothalamic projections in repetition enhancement, implying that predictive anticipation could be used to improve neural representation of weakly modulated sounds. KEY POINTS: In response to a less temporally distinct repeating sound with low modulation depth, medial geniculate body (MGB) single units show a switch from adaptation towards repetition enhancement. Repetition enhancement was reversed by blockade of MGB inputs from the auditory cortex. Collectively, these data argue that diminished acoustic temporal cues such as weak modulation engage cortical processes to enhance coding of those cues in auditory thalamus.
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Affiliation(s)
- Srinivasa P Kommajosyula
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, IL, USA
| | - Edward L Bartlett
- Department of Biological Sciences and the Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Rui Cai
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, IL, USA
| | - Lynne Ling
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, IL, USA
| | - Donald M Caspary
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, IL, USA
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15
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Yue T, Chen Y, Zheng Q, Xu Z, Wang W, Ni G. Screening Tools and Assessment Methods of Cognitive Decline Associated With Age-Related Hearing Loss: A Review. Front Aging Neurosci 2021; 13:677090. [PMID: 34335227 PMCID: PMC8316923 DOI: 10.3389/fnagi.2021.677090] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 06/24/2021] [Indexed: 12/13/2022] Open
Abstract
Strong links between hearing and cognitive function have been confirmed by a growing number of cross-sectional and longitudinal studies. Seniors with age-related hearing loss (ARHL) have a significantly higher cognitive impairment incidence than those with normal hearing. The correlation mechanism between ARHL and cognitive decline is not fully elucidated to date. However, auditory intervention for patients with ARHL may reduce the risk of cognitive decline, as early cognitive screening may improve related treatment strategies. Currently, clinical audiology examinations rarely include cognitive screening tests, partly due to the lack of objective quantitative indicators with high sensitivity and specificity. Questionnaires are currently widely used as a cognitive screening tool, but the subject's performance may be negatively affected by hearing loss. Numerous electroencephalogram (EEG) and magnetic resonance imaging (MRI) studies analyzed brain structure and function changes in patients with ARHL. These objective electrophysiological tools can be employed to reveal the association mechanism between auditory and cognitive functions, which may also find biological markers to be more extensively applied in assessing the progression towards cognitive decline and observing the effects of rehabilitation training for patients with ARHL. In this study, we reviewed clinical manifestations, pathological changes, and causes of ARHL and discussed their cognitive function effects. Specifically, we focused on current cognitive screening tools and assessment methods and analyzed their limitations and potential integration.
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Affiliation(s)
- Tao Yue
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
- Tianjin International Engineering Institute, Tianjin University, Tianjin, China
| | - Yu Chen
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, China
| | - Qi Zheng
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Zihao Xu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Wei Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, China
| | - Guangjian Ni
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
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16
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Momtaz S, Moncrieff D, Bidelman GM. Dichotic listening deficits in amblyaudia are characterized by aberrant neural oscillations in auditory cortex. Clin Neurophysiol 2021; 132:2152-2162. [PMID: 34284251 DOI: 10.1016/j.clinph.2021.04.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 04/16/2021] [Accepted: 04/29/2021] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Children diagnosed with auditory processing disorder (APD) show deficits in processing complex sounds that are associated with difficulties in higher-order language, learning, cognitive, and communicative functions. Amblyaudia (AMB) is a subcategory of APD characterized by abnormally large ear asymmetries in dichotic listening tasks. METHODS Here, we examined frequency-specific neural oscillations and functional connectivity via high-density electroencephalography (EEG) in children with and without AMB during passive listening of nonspeech stimuli. RESULTS Time-frequency maps of these "brain rhythms" revealed stronger phase-locked beta-gamma (~35 Hz) oscillations in AMB participants within bilateral auditory cortex for sounds presented to the right ear, suggesting a hypersynchronization and imbalance of auditory neural activity. Brain-behavior correlations revealed neural asymmetries in cortical responses predicted the larger than normal right-ear advantage seen in participants with AMB. Additionally, we found weaker functional connectivity in the AMB group from right to left auditory cortex, despite their stronger neural responses overall. CONCLUSION Our results reveal abnormally large auditory sensory encoding and an imbalance in communication between cerebral hemispheres (ipsi- to -contralateral signaling) in AMB. SIGNIFICANCE These neurophysiological changes might lead to the functionally poorer behavioral capacity to integrate information between the two ears in children with AMB.
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Affiliation(s)
- Sara Momtaz
- School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA.
| | - Deborah Moncrieff
- School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA
| | - Gavin M Bidelman
- School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA; Institute for Intelligent Systems, University of Memphis, Memphis, TN, USA; University of Tennessee Health Sciences Center, Department of Anatomy and Neurobiology, Memphis, TN, USA
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17
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Johnson JCS, Marshall CR, Weil RS, Bamiou DE, Hardy CJD, Warren JD. Hearing and dementia: from ears to brain. Brain 2021; 144:391-401. [PMID: 33351095 PMCID: PMC7940169 DOI: 10.1093/brain/awaa429] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 10/02/2020] [Accepted: 10/17/2020] [Indexed: 12/19/2022] Open
Abstract
The association between hearing impairment and dementia has emerged as a major public health challenge, with significant opportunities for earlier diagnosis, treatment and prevention. However, the nature of this association has not been defined. We hear with our brains, particularly within the complex soundscapes of everyday life: neurodegenerative pathologies target the auditory brain, and are therefore predicted to damage hearing function early and profoundly. Here we present evidence for this proposition, based on structural and functional features of auditory brain organization that confer vulnerability to neurodegeneration, the extensive, reciprocal interplay between 'peripheral' and 'central' hearing dysfunction, and recently characterized auditory signatures of canonical neurodegenerative dementias (Alzheimer's disease, Lewy body disease and frontotemporal dementia). Moving beyond any simple dichotomy of ear and brain, we argue for a reappraisal of the role of auditory cognitive dysfunction and the critical coupling of brain to peripheral organs of hearing in the dementias. We call for a clinical assessment of real-world hearing in these diseases that moves beyond pure tone perception to the development of novel auditory 'cognitive stress tests' and proximity markers for the early diagnosis of dementia and management strategies that harness retained auditory plasticity.
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Affiliation(s)
- Jeremy C S Johnson
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Charles R Marshall
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Rimona S Weil
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
- Movement Disorders Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Doris-Eva Bamiou
- UCL Ear Institute and UCL/UCLH Biomedical Research Centre, National Institute for Health Research, University College London, London, UK
| | - Chris J D Hardy
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jason D Warren
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
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18
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Mahmud MS, Yeasin M, Bidelman GM. Speech categorization is better described by induced rather than evoked neural activity. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2021; 149:1644. [PMID: 33765780 PMCID: PMC8267855 DOI: 10.1121/10.0003572] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Categorical perception (CP) describes how the human brain categorizes speech despite inherent acoustic variability. We examined neural correlates of CP in both evoked and induced electroencephalogram (EEG) activity to evaluate which mode best describes the process of speech categorization. Listeners labeled sounds from a vowel gradient while we recorded their EEGs. Using a source reconstructed EEG, we used band-specific evoked and induced neural activity to build parameter optimized support vector machine models to assess how well listeners' speech categorization could be decoded via whole-brain and hemisphere-specific responses. We found whole-brain evoked β-band activity decoded prototypical from ambiguous speech sounds with ∼70% accuracy. However, induced γ-band oscillations showed better decoding of speech categories with ∼95% accuracy compared to evoked β-band activity (∼70% accuracy). Induced high frequency (γ-band) oscillations dominated CP decoding in the left hemisphere, whereas lower frequencies (θ-band) dominated the decoding in the right hemisphere. Moreover, feature selection identified 14 brain regions carrying induced activity and 22 regions of evoked activity that were most salient in describing category-level speech representations. Among the areas and neural regimes explored, induced γ-band modulations were most strongly associated with listeners' behavioral CP. The data suggest that the category-level organization of speech is dominated by relatively high frequency induced brain rhythms.
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Affiliation(s)
- Md Sultan Mahmud
- Department of Electrical and Computer Engineering, University of Memphis, 3815 Central Avenue, Memphis, Tennessee 38152, USA
| | - Mohammed Yeasin
- Department of Electrical and Computer Engineering, University of Memphis, 3815 Central Avenue, Memphis, Tennessee 38152, USA
| | - Gavin M Bidelman
- School of Communication Sciences and Disorders, University of Memphis, 4055 North Park Loop, Memphis, Tennessee 38152, USA
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19
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Völter C, Götze L, Dazert S, Wirth R, Thomas JP. Impact of Hearing Loss on Geriatric Assessment. Clin Interv Aging 2020; 15:2453-2467. [PMID: 33408469 PMCID: PMC7779803 DOI: 10.2147/cia.s281627] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 11/22/2020] [Indexed: 12/11/2022] Open
Abstract
Background Due to the aging society, the incidence of age-related hearing loss (ARHL) is strongly increasing. Hearing loss has a high impact on various aspects of life and may lead to social isolation, depression, loss of gain control, frailty and even mental decline. Comorbidity of cognitive and sensory impairment is not rare. This might have an impact on diagnostics and treatment in the geriatric setting. Objective The aim of the study was to evaluate the impact of hearing impairment on geriatric assessment and cognitive testing routinely done in geriatrics. Material and Methods This review is based on publications retrieved by a selective search in Medline, including individual studies, meta-analyses, guidelines, Cochrane reviews, and other reviews from 1960 until August 2020. Results Awareness of sensory impairment is low among patients and health professionals working with elderly people. The evaluation of the hearing status is not always part of the geriatric assessment and not yet routinely done in psychiatric settings. However, neurocognitive testing as an important part can be strongly influenced by auditory deprivation. Misunderstanding of verbal instructions, cognitive changes, and delayed central processes may lead to a false diagnosis in up to 16% of subjects with hearing loss. To minimize this bias, several neurocognitive assessments were transformed into non-auditory versions recently, eg the most commonly used Hearing-Impaired Montreal Cognitive Assessment (HI-MoCA). However, most of them still lack normative data for elderly people with hearing loss. Conclusion Hearing loss should be taken into consideration when performing geriatric assessment and cognitive testing in elderly subjects. Test batteries suitable for ARLH should be applied.
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Affiliation(s)
- Christiane Völter
- Department of Otorhinolaryngology, Head and Neck Surgery, Ruhr-University Bochum, St. Elisabeth-Hospital, Bochum 44787, Germany
| | - Lisa Götze
- Department of Otorhinolaryngology, Head and Neck Surgery, Ruhr-University Bochum, St. Elisabeth-Hospital, Bochum 44787, Germany
| | - Stefan Dazert
- Department of Otorhinolaryngology, Head and Neck Surgery, Ruhr-University Bochum, St. Elisabeth-Hospital, Bochum 44787, Germany
| | - Rainer Wirth
- Department of Geriatric Medicine, Ruhr-University Bochum, Marien Hospital Herne, Herne 44625, Germany
| | - Jan Peter Thomas
- Department of Otorhinolaryngology, Head and Neck Surgery, Ruhr-University Bochum, St. Elisabeth-Hospital, Bochum 44787, Germany
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20
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Segato A, Marzullo A, Calimeri F, De Momi E. Artificial intelligence for brain diseases: A systematic review. APL Bioeng 2020; 4:041503. [PMID: 33094213 PMCID: PMC7556883 DOI: 10.1063/5.0011697] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 09/09/2020] [Indexed: 12/15/2022] Open
Abstract
Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for analyzing complex medical data and extracting meaningful relationships in datasets, for several clinical aims. Specifically, in the brain care domain, several innovative approaches have achieved remarkable results and open new perspectives in terms of diagnosis, planning, and outcome prediction. In this work, we present an overview of different artificial intelligent techniques used in the brain care domain, along with a review of important clinical applications. A systematic and careful literature search in major databases such as Pubmed, Scopus, and Web of Science was carried out using "artificial intelligence" and "brain" as main keywords. Further references were integrated by cross-referencing from key articles. 155 studies out of 2696 were identified, which actually made use of AI algorithms for different purposes (diagnosis, surgical treatment, intra-operative assistance, and postoperative assessment). Artificial neural networks have risen to prominent positions among the most widely used analytical tools. Classic machine learning approaches such as support vector machine and random forest are still widely used. Task-specific algorithms are designed for solving specific problems. Brain images are one of the most used data types. AI has the possibility to improve clinicians' decision-making ability in neuroscience applications. However, major issues still need to be addressed for a better practical use of AI in the brain. To this aim, it is important to both gather comprehensive data and build explainable AI algorithms.
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Affiliation(s)
- Alice Segato
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan 20133, Italy
| | - Aldo Marzullo
- Department of Mathematics and Computer Science, University of Calabria, Rende 87036, Italy
| | - Francesco Calimeri
- Department of Mathematics and Computer Science, University of Calabria, Rende 87036, Italy
| | - Elena De Momi
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan 20133, Italy
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21
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Xing C, Zhang J, Cui J, Yong W, Hu J, Yin X, Wu Y, Chen YC. Disrupted Functional Network Connectivity Predicts Cognitive Impairment in Presbycusis Patients. Front Aging Neurosci 2020; 12:246. [PMID: 32903748 PMCID: PMC7438913 DOI: 10.3389/fnagi.2020.00246] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 07/17/2020] [Indexed: 11/18/2022] Open
Abstract
Purpose: Individuals with presbycusis often show deficits in cognitive function, however, the exact neurophysiological mechanisms are not well understood. This study explored the alterations in intra- and inter-network functional connectivity (FC) of multiple networks in presbycusis patients, and further correlated FC with cognitive assessment scores to assess their ability to predict cognitive impairment. Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) was performed in 40 presbycusis patients and 40 matched controls, and 12 resting-state networks (RSNs) were identified by independent component analysis (ICA) approach. A two-sample t-test was carried out to detect the intra-network FC differences, and functional network connectivity (FNC) was calculated to compare the inter-network FC differences. Pearson or Spearman correlation analysis was subsequently used to explore the correlation between altered FC and cognitive assessment scores. Results: Our study demonstrated that patients with presbycusis showed significantly decreased FC in the subcortical limbic network (scLN), default mode network (DMN), executive control network (ECN), and attention network (AN) compared with the control group. Moreover, the connectivity for scLN-AUN (auditory network) and VN (visual network)-DMN were found significantly increased while AN-DMN was found significantly decreased in presbycusis patients. Ultimately, this study revealed the intra- and inter-network alterations associated with some cognitive assessment scores. Conclusion: This study observed intra- and inter-network FC alterations in presbycusis patients, and investigated that presbycusis can lead to abnormal connectivity of RSNs and plasticity compensation mechanism, which may be the basis of cognitive impairment, suggesting that FNC can be used to predict potential cognitive impairment in their early stage.
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Affiliation(s)
- Chunhua Xing
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Juan Zhang
- Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing, China
| | - Jinluan Cui
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Wei Yong
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jinghua Hu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yuanqing Wu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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22
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Campbell J, Sharma A. Frontal Cortical Modulation of Temporal Visual Cross-Modal Re-organization in Adults with Hearing Loss. Brain Sci 2020; 10:brainsci10080498. [PMID: 32751543 PMCID: PMC7465622 DOI: 10.3390/brainsci10080498] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 07/24/2020] [Accepted: 07/27/2020] [Indexed: 11/19/2022] Open
Abstract
Recent research has demonstrated frontal cortical involvement to co-occur with visual re-organization, suggestive of top-down modulation of cross-modal mechanisms. However, it is unclear whether top-down modulation of visual re-organization takes place in mild hearing loss, or is dependent upon greater degrees of hearing loss severity. Thus, the purpose of this study was to determine if frontal top-down modulation of visual cross-modal re-organization increased across hearing loss severity. We recorded visual evoked potentials (VEPs) in response to apparent motion stimuli in 17 adults with mild-moderate hearing loss using 128-channel high-density electroencephalography (EEG). Current density reconstructions (CDRs) were generated using sLORETA to visualize VEP generators in both groups. VEP latency and amplitude in frontal regions of interest (ROIs) were compared between groups and correlated with auditory behavioral measures. Activation of frontal networks in response to visual stimulation increased across mild to moderate hearing loss, with simultaneous activation of the temporal cortex. In addition, group differences in VEP latency and amplitude correlated with auditory behavioral measures. Overall, these findings support the hypothesis that frontal top-down modulation of visual cross-modal re-organization is dependent upon hearing loss severity.
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Affiliation(s)
- Julia Campbell
- Central Sensory Processes Laboratory, Department of Communication Sciences and Disorders, University of Texas at Austin, 2504 Whitis Ave a1100, Austin, TX 78712, USA;
| | - Anu Sharma
- Anu Sharma, Brain and Behavior Laboratory, Institute of Cognitive Science, Department of Speech, Language and Hearing Science, University of Colorado at Boulder, 409 UCB, 2501 Kittredge Loop Drive, Boulder, CO 80309, USA
- Correspondence:
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23
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Mahmud MS, Ahmed F, Al-Fahad R, Moinuddin KA, Yeasin M, Alain C, Bidelman GM. Decoding Hearing-Related Changes in Older Adults' Spatiotemporal Neural Processing of Speech Using Machine Learning. Front Neurosci 2020; 14:748. [PMID: 32765215 PMCID: PMC7378401 DOI: 10.3389/fnins.2020.00748] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 06/25/2020] [Indexed: 12/25/2022] Open
Abstract
Speech perception in noisy environments depends on complex interactions between sensory and cognitive systems. In older adults, such interactions may be affected, especially in those individuals who have more severe age-related hearing loss. Using a data-driven approach, we assessed the temporal (when in time) and spatial (where in the brain) characteristics of cortical speech-evoked responses that distinguish older adults with or without mild hearing loss. We performed source analyses to estimate cortical surface signals from the EEG recordings during a phoneme discrimination task conducted under clear and noise-degraded conditions. We computed source-level ERPs (i.e., mean activation within each ROI) from each of the 68 ROIs of the Desikan-Killiany (DK) atlas, averaged over a randomly chosen 100 trials without replacement to form feature vectors. We adopted a multivariate feature selection method called stability selection and control to choose features that are consistent over a range of model parameters. We use parameter optimized support vector machine (SVM) as a classifiers to investigate the time course and brain regions that segregate groups and speech clarity. For clear speech perception, whole-brain data revealed a classification accuracy of 81.50% [area under the curve (AUC) 80.73%; F1-score 82.00%], distinguishing groups within ∼60 ms after speech onset (i.e., as early as the P1 wave). We observed lower accuracy of 78.12% [AUC 77.64%; F1-score 78.00%] and delayed classification performance when speech was embedded in noise, with group segregation at 80 ms. Separate analysis using left (LH) and right hemisphere (RH) regions showed that LH speech activity was better at distinguishing hearing groups than activity measured in the RH. Moreover, stability selection analysis identified 12 brain regions (among 1428 total spatiotemporal features from 68 regions) where source activity segregated groups with >80% accuracy (clear speech); whereas 16 regions were critical for noise-degraded speech to achieve a comparable level of group segregation (78.7% accuracy). Our results identify critical time-courses and brain regions that distinguish mild hearing loss from normal hearing in older adults and confirm a larger number of active areas, particularly in RH, when processing noise-degraded speech information.
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Affiliation(s)
- Md Sultan Mahmud
- Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, United States
| | - Faruk Ahmed
- Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, United States
| | - Rakib Al-Fahad
- Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, United States
| | - Kazi Ashraf Moinuddin
- Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, United States
| | - Mohammed Yeasin
- Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, United States
| | - Claude Alain
- Rotman Research Institute-Baycrest Centre for Geriatric Care, Toronto, ON, Canada.,Department of Psychology, University of Toronto, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Gavin M Bidelman
- Institute for Intelligent Systems, University of Memphis, Memphis, TN, United States.,School of Communication Sciences and Disorders, University of Memphis, Memphis, TN, United States.,Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, TN, United States
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24
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Loughrey DG, Pakhomov SVS, Lawlor BA. Altered verbal fluency processes in older adults with age-related hearing loss. Exp Gerontol 2019; 130:110794. [PMID: 31790801 DOI: 10.1016/j.exger.2019.110794] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 10/27/2019] [Accepted: 11/24/2019] [Indexed: 11/28/2022]
Abstract
Epidemiological studies have linked age-related hearing loss (ARHL) with an increased risk of neurocognitive decline. Difficulties in speech perception with subsequent changes in brain morphometry, including regions important for lexical-semantic memory, are thought to be a possible mechanism for this relationship. This study investigated differences in automatic and executive lexical-semantic processes on verbal fluency tasks in individuals with acquired hearing loss. The primary outcomes were indices of automatic (clustering/word retrieval at start of task) and executive (switching/word retrieval after start of the task) processes from semantic and phonemic fluency tasks. To extract indices of clustering and switching, we used both manual and computerised methods. There were no differences between groups on indices of executive fluency processes or on any indices from the semantic fluency task. The hearing loss group demonstrated weaker automatic processes on the phonemic fluency task. Further research into differences in lexical-semantic processes with ARHL is warranted.
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Affiliation(s)
- David G Loughrey
- Global Brain Health Institute, Trinity College Dublin, Ireland; Global Brain Health Institute, University of California, San Francisco, USA; Trinity College Institute of Neuroscience, Trinity College Dublin.
| | | | - Brian A Lawlor
- Global Brain Health Institute, Trinity College Dublin, Ireland; Global Brain Health Institute, University of California, San Francisco, USA; Mercer's Institute for Successful Ageing, St James Hospital, Dublin, Ireland
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25
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Auditory-frontal Channeling in α and β Bands is Altered by Age-related Hearing Loss and Relates to Speech Perception in Noise. Neuroscience 2019; 423:18-28. [PMID: 31705894 DOI: 10.1016/j.neuroscience.2019.10.044] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 09/19/2019] [Accepted: 10/27/2019] [Indexed: 01/16/2023]
Abstract
Difficulty understanding speech-in-noise (SIN) is a pervasive problem faced by older adults particularly those with hearing loss. Previous studies have identified structural and functional changes in the brain that contribute to older adults' speech perception difficulties. Yet, many of these studies use neuroimaging techniques that evaluate only gross activation in isolated brain regions. Neural oscillations may provide further insight into the processes underlying SIN perception as well as the interaction between auditory cortex and prefrontal linguistic brain regions that mediate complex behaviors. We examined frequency-specific neural oscillations and functional connectivity of the EEG in older adults with and without hearing loss during an active SIN perception task. Brain-behavior correlations revealed listeners who were more resistant to the detrimental effects of noise also demonstrated greater modulation of α phase coherence between clean and noise-degraded speech, suggesting α desynchronization reflects release from inhibition and more flexible allocation of neural resources. Additionally, we found top-down β connectivity between prefrontal and auditory cortices strengthened with poorer hearing thresholds despite minimal behavioral differences. This is consistent with the proposal that linguistic brain areas may be recruited to compensate for impoverished auditory inputs through increased top-down predictions to assist SIN perception. Overall, these results emphasize the importance of top-down signaling in low-frequency brain rhythms that help compensate for hearing-related declines and facilitate efficient SIN processing.
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26
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Bidelman GM, Price CN, Shen D, Arnott SR, Alain C. Afferent-efferent connectivity between auditory brainstem and cortex accounts for poorer speech-in-noise comprehension in older adults. Hear Res 2019; 382:107795. [PMID: 31479953 DOI: 10.1016/j.heares.2019.107795] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 08/14/2019] [Accepted: 08/22/2019] [Indexed: 12/19/2022]
Abstract
Speech-in-noise (SIN) comprehension deficits in older adults have been linked to changes in both subcortical and cortical auditory evoked responses. However, older adults' difficulty understanding SIN may also be related to an imbalance in signal transmission (i.e., functional connectivity) between brainstem and auditory cortices. By modeling high-density scalp recordings of speech-evoked responses with sources in brainstem (BS) and bilateral primary auditory cortices (PAC), we show that beyond attenuating neural activity, hearing loss in older adults compromises the transmission of speech information between subcortical and early cortical hubs of the speech network. We found that the strength of afferent BS→PAC neural signaling (but not the reverse efferent flow; PAC→BS) varied with mild declines in hearing acuity and this "bottom-up" functional connectivity robustly predicted older adults' performance in a SIN identification task. Connectivity was also a better predictor of SIN processing than unitary subcortical or cortical responses alone. Our neuroimaging findings suggest that in older adults (i) mild hearing loss differentially reduces neural output at several stages of auditory processing (PAC > BS), (ii) subcortical-cortical connectivity is more sensitive to peripheral hearing loss than top-down (cortical-subcortical) control, and (iii) reduced functional connectivity in afferent auditory pathways plays a significant role in SIN comprehension problems.
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Affiliation(s)
- Gavin M Bidelman
- School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA; Institute for Intelligent Systems, University of Memphis, Memphis, TN, USA; University of Tennessee Health Sciences Center, Department of Anatomy and Neurobiology, Memphis, TN, USA.
| | - Caitlin N Price
- School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA
| | - Dawei Shen
- Rotman Research Institute-Baycrest Centre for Geriatric Care, Toronto, Ontario, Canada
| | - Stephen R Arnott
- Rotman Research Institute-Baycrest Centre for Geriatric Care, Toronto, Ontario, Canada
| | - Claude Alain
- Rotman Research Institute-Baycrest Centre for Geriatric Care, Toronto, Ontario, Canada; University of Toronto, Department of Psychology, Toronto, Ontario, Canada; University of Toronto, Institute of Medical Sciences, Toronto, Ontario, Canada
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