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Jiang J, Johnson J, Levett BA, Core LB, Volkmer A, Koohi N, Bamiou DE, Marshall CR, Warren JD, Hardy CJ. Pure-tone audiometry and dichotic listening in primary progressive aphasia and Alzheimer's disease. Q J Exp Psychol (Hove) 2024:17470218241287349. [PMID: 39297359 DOI: 10.1177/17470218241287349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2024]
Abstract
Hearing is multifaceted, and the relative contributions of peripheral and central hearing loss are rarely considered together in the context of dementia. Here, we assessed peripheral (as measured with pure-tone audiometry) and central (as measured with dichotic listening) hearing in 19 patients with typical amnestic Alzheimer's disease (tAD), 10 patients with logopenic variant primary progressive aphasia (lvPPA), 11 patients with nonfluent/agrammatic variant PPA (nfvPPA), 15 patients with semantic variant PPA (svPPA), and 28 healthy age-matched individuals. Participants also underwent neuropsychological assessment and magnetic resonance image scanning, allowing us to use voxel-based morphometry to assess associations between hearing scores and grey matter volume. Dichotic listening was impaired in all patient groups relative to healthy controls. In the combined patient (but not healthy control) cohort, dichotic listening scores were significantly correlated with measures of global cognitive functioning and speech-based neuropsychological tasks. Pure-tone audiometry scores were not significantly elevated in any patient group relative to the healthy control group, and no significant correlations were observed between peripheral hearing and neuropsychological task performance in either the combined patient or healthy control cohorts. Neuroanatomically, dichotic listening performance was associated with grey matter volume in a bilateral fronto-temporoparietal network over the combined patient cohort, but no correlates were identified for pure-tone audiometry. Our findings highlight the importance of speech parsing mechanisms beyond elementary sound detection in driving cognitive test performance, underline the importance of assessing central hearing alongside peripheral hearing in people with dementia, and further delineate the complex auditory profiles of neurodegenerative dementias.
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Affiliation(s)
- Jessica Jiang
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Jeremy Johnson
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Benjamin A Levett
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Lucy B Core
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Anna Volkmer
- Psychology and Language Sciences (PALS), UCL, London, UK
| | - Nehzat Koohi
- Department of Clinical and Movement Neurosciences, Institute of Neurology, UCL, London, UK
- The Ear Institute, UCL, London, UK
| | | | - Charles R Marshall
- Centre for Preventive Neurology, Queen Mary University of London, London, UK
| | - Jason D Warren
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Chris Jd Hardy
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
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Parker TD, Hardy C, Keuss S, Coath W, Cash DM, Lu K, Nicholas JM, James SN, Sudre C, Crutch S, Bamiou DE, Warren JD, Fox NC, Richards M, Schott JM. Peripheral hearing loss at age 70 predicts brain atrophy and associated cognitive change. J Neurol Neurosurg Psychiatry 2024; 95:829-832. [PMID: 38569877 PMCID: PMC11347269 DOI: 10.1136/jnnp-2023-333101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/04/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND Hearing loss has been proposed as a modifiable risk factor for dementia. However, the relationship between hearing, neurodegeneration, and cognitive change, and the extent to which pathological processes such as Alzheimer's disease and cerebrovascular disease influence these relationships, is unclear. METHODS Data from 287 adults born in the same week of 1946 who underwent baseline pure tone audiometry (mean age=70.6 years) and two time point cognitive assessment/multimodal brain imaging (mean interval 2.4 years) were analysed. Hearing impairment at baseline was defined as a pure tone average of greater than 25 decibels in the best hearing ear. Rates of change for whole brain, hippocampal and ventricle volume were estimated from structural MRI using the Boundary Shift Integral. Cognition was assessed using the Pre-clinical Alzheimer's Cognitive Composite. Regression models were performed to evaluate how baseline hearing impairment associated with subsequent brain atrophy and cognitive decline after adjustment for a range of confounders including baseline β-amyloid deposition and white matter hyperintensity volume. RESULTS 111 out of 287 participants had hearing impairment. Compared with those with preserved hearing, hearing impaired individuals had faster rates of whole brain atrophy, and worse hearing (higher pure tone average) predicted faster rates of hippocampal atrophy. In participants with hearing impairment, faster rates of whole brain atrophy predicted greater cognitive change. All observed relationships were independent of β-amyloid deposition and white matter hyperintensity volume. CONCLUSIONS Hearing loss may influence dementia risk via pathways distinct from those typically implicated in Alzheimer's and cerebrovascular disease in cognitively unimpaired older adults.
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Affiliation(s)
- Thomas D Parker
- Department of Brain Sciences, Imperial College London, London, UK
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
- UK Dementia Research Institute Centre for Care Research and Technology, Imperial College London, London, UK
| | - Chris Hardy
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Sarah Keuss
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - William Coath
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - David M Cash
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
- UK Dementia Research Institute at UCL, University College London, London, UK
| | - Kirsty Lu
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Jennifer M Nicholas
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Carole Sudre
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Sebastian Crutch
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Doris-Eva Bamiou
- UCL Ear Institute and UCLH Biomedical Research Centre, National Institute for Health Research, University College London, London, UK
| | - Jason D Warren
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Nick C Fox
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Jonathan M Schott
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
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Martínez-Dubarbie F, Lobo D, Rollán-Martínez-Herrera M, López-García S, Lage C, Fernández-Matarrubia M, Pozueta-Cantudo A, García-Martínez M, Corrales-Pardo A, Bravo M, Cobo R, Cabieces-Juncal D, López-Hoyos M, Irure-Ventura J, Sánchez-Juan P, Rodríguez-Rodríguez E. Age-related hearing loss is not linked to cerebrospinal fluid levels of β-amyloid or p-tau181. Neurol Sci 2024; 45:1471-1480. [PMID: 37864751 DOI: 10.1007/s10072-023-07143-7] [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: 09/23/2023] [Accepted: 10/16/2023] [Indexed: 10/23/2023]
Abstract
INTRODUCTION As Hearing loss and dementia affect people with the same profile, several epidemiological studies have evaluated their relationship. However, the link between age-related hearing loss and Alzheimer's disease is still unclear. METHODS We selected subjects with no history of exposure to loud noises, blasts, head trauma with hearing loss, or sudden sensorineural hearing loss from a cohort intended to study preclinical phases of Alzheimer's disease. Participants are volunteers over 55 years without cognitive impairment. We correlated the results of an objective auditory evaluation with brain amyloid and p-tau181 levels and with the outcomes of a comprehensive neuropsychological assessment. RESULTS Fifty-five subjects at different stages of the Alzheimer's disease continuum were evaluated. There were no statistically significant correlations between amyloid-β and p-tau levels and any of the objective auditory measures. A weak but significant correlation was found between amyloid-β values and the Hearing Handicap Inventory for the Elderly. The neuropsychological domains more correlated to hearing loss were executive function and processing speed. DISCUSSION Age-related hearing loss is not linked to any pathological markers of Alzheimer's disease nor to neuropsychological domains typically affected in this disease. The Hearing Handicap Inventory for the Elderly has an important component of subjectivity and further studies are needed to explore its relationship with amyloid-β levels.
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Affiliation(s)
- Francisco Martínez-Dubarbie
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain.
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain.
| | - David Lobo
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
- Otorhinolaryngology Department, Marqués de Valdecilla University Hospital, 39008, Santander, Cantabria, Spain
| | | | - Sara López-García
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
| | - Carmen Lage
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
- Atlantic Fellow for Equity in Brain Health, Global Brain Health Institute, University of California, San Francisco, CA, 94158, USA
| | - Marta Fernández-Matarrubia
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
| | - Ana Pozueta-Cantudo
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
| | - María García-Martínez
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
| | - Andrea Corrales-Pardo
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
| | - María Bravo
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
| | - Ramón Cobo
- Otorhinolaryngology Department, Marqués de Valdecilla University Hospital, 39008, Santander, Cantabria, Spain
| | - Daniel Cabieces-Juncal
- Otorhinolaryngology Department, Marqués de Valdecilla University Hospital, 39008, Santander, Cantabria, Spain
| | - Marcos López-Hoyos
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
- Immunology Department, University Hospital Marqués de Valdecilla, Cantabria, 39008, Santander, Spain
| | - Juan Irure-Ventura
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
- Immunology Department, University Hospital Marqués de Valdecilla, Cantabria, 39008, Santander, Spain
| | - Pascual Sánchez-Juan
- Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, National Institute of Health Carlos III, 28220, Madrid, Spain
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, 28220, Madrid, Spain
| | - Eloy Rodríguez-Rodríguez
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla N25, 39008, Santander, Cantabria, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Cantabria, 39011, Santander, Spain
- Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, National Institute of Health Carlos III, 28220, Madrid, Spain
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Murray-Smith H, Barker S, Barkhof F, Barnes J, Brown TM, Captur G, R E Cartlidge M, Cash DM, Coath W, Davis D, Dickson JC, Groves J, Hughes AD, James SN, Keshavan A, Keuss SE, King-Robson J, Lu K, Malone IB, Nicholas JM, Rapala A, Scott CJ, Street R, Sudre CH, Thomas DL, Wong A, Wray S, Zetterberg H, Chaturvedi N, Fox NC, Crutch SJ, Richards M, Schott JM. Updating the study protocol: Insight 46 - a longitudinal neuroscience sub-study of the MRC National Survey of Health and Development - phases 2 and 3. BMC Neurol 2024; 24:40. [PMID: 38263061 PMCID: PMC10804658 DOI: 10.1186/s12883-023-03465-3] [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: 08/30/2023] [Accepted: 11/13/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Although age is the biggest known risk factor for dementia, there remains uncertainty about other factors over the life course that contribute to a person's risk for cognitive decline later in life. Furthermore, the pathological processes leading to dementia are not fully understood. The main goals of Insight 46-a multi-phase longitudinal observational study-are to collect detailed cognitive, neurological, physical, cardiovascular, and sensory data; to combine those data with genetic and life-course information collected from the MRC National Survey of Health and Development (NSHD; 1946 British birth cohort); and thereby contribute to a better understanding of healthy ageing and dementia. METHODS/DESIGN Phase 1 of Insight 46 (2015-2018) involved the recruitment of 502 members of the NSHD (median age = 70.7 years; 49% female) and has been described in detail by Lane and Parker et al. 2017. The present paper describes phase 2 (2018-2021) and phase 3 (2021-ongoing). Of the 502 phase 1 study members who were invited to a phase 2 research visit, 413 were willing to return for a clinic visit in London and 29 participated in a remote research assessment due to COVID-19 restrictions. Phase 3 aims to recruit 250 study members who previously participated in both phases 1 and 2 of Insight 46 (providing a third data time point) and 500 additional members of the NSHD who have not previously participated in Insight 46. DISCUSSION The NSHD is the oldest and longest continuously running British birth cohort. Members of the NSHD are now at a critical point in their lives for us to investigate successful ageing and key age-related brain morbidities. Data collected from Insight 46 have the potential to greatly contribute to and impact the field of healthy ageing and dementia by combining unique life course data with longitudinal multiparametric clinical, imaging, and biomarker measurements. Further protocol enhancements are planned, including in-home sleep measurements and the engagement of participants through remote online cognitive testing. Data collected are and will continue to be made available to the scientific community.
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Affiliation(s)
- Heidi Murray-Smith
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK.
| | - Suzie Barker
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
- Centre for Medical Image Computing, University College London, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Josephine Barnes
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Thomas M Brown
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Gabriella Captur
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Molly R E Cartlidge
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - David M Cash
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
- Centre for Medical Image Computing, University College London, London, UK
| | - William Coath
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - John C Dickson
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - James Groves
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Josh King-Robson
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Kirsty Lu
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Ian B Malone
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Jennifer M Nicholas
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Alicja Rapala
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Catherine J Scott
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Rebecca Street
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Carole H Sudre
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
- Centre for Medical Image Computing, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - David L Thomas
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Selina Wray
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Hong, Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Sebastian J Crutch
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, 1St Floor, 8-11 Queen Square, London, UK
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Zafar U, Habib SH, Raza SS. Identification of appropriate tools to gauge brain functions in a clinical setup of a developing country: A pilot study. Pak J Med Sci 2023; 39:1840-1846. [PMID: 37936739 PMCID: PMC10626111 DOI: 10.12669/pjms.39.6.7489] [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: 12/28/2022] [Revised: 02/15/2023] [Accepted: 07/31/2023] [Indexed: 11/09/2023] Open
Abstract
Objective To identify the most appropriate tools to measure functions of the brain that can be utilized in the clinical setups of developing countries. Methods This qualitative research with a three-step approach was carried out from January 2022 to May 2022 at the Institute of Basic Medical Sciences, Khyber Medical University, Pakistan. Firstly, literature was searched to identify main brain faculties, then interviews were conducted with regional field experts to identify appropriate scales for the selected functions. Lastly a rubric was filled using interview transcripts and literature. Results The identified functions were vision, hearing, cognition, motor and emotions. Based on the rubric the best tests were visual fields (17/24), pure tone audiometry (16/24), Mini-Mental State Exam (20/24), Trait Emotional Intelligence Questionnaire (18/24), Romberg's test (19/24) and Manual Muscle Testing (18/24). Conclusion The clinicians in developing countries can utilize the visual fields, pure tone audiometry, Mini-Mental State Exam, Trait Emotional Intelligence Questionnaire, Romberg's test and Manual Muscle Testing for most efficient, feasible, accurate and cost-effective measurement of brain functions.
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Affiliation(s)
- Umema Zafar
- Umema Zafar, MBBS, MPhil, CHPE Department of Physiology, Rehman Medical College, Peshawar, Pakistan
| | - Syed Hamid Habib
- Syed Hamid Habib, MBBS, PhD, PGD, DHPE, CHR, CRSM, CME Department of Physiology. Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Syed Shahmeer Raza
- Syed Shahmeer Raza, MBBS, MPhil, CRSM, ATC Department of Physiology, Gajju Khan Medical College, Swabi, Pakistan
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Deal JA, Jiang K, Rawlings A, Sharrett AR, Reed NS, Knopman D, Mosley T, Wong D, Zhou Y, Lin FR, Gottesman RF. Hearing, β-Amyloid Deposition and Cognitive Test Performance in Black and White Older Adults: The ARIC-PET Study. J Gerontol A Biol Sci Med Sci 2023; 78:2105-2110. [PMID: 37419460 PMCID: PMC10613014 DOI: 10.1093/gerona/glad159] [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: 01/05/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND Hearing loss is a risk factor for dementia; whether the association is causal or due to a shared pathology is unknown. We estimated the association of brain β-amyloid with hearing, hypothesizing no association. As a positive control, we quantified the association of hearing loss with neurocognitive test performance. METHODS Cross-sectional analysis of Atherosclerosis Risk in Communities-Positron Emission Tomography study data. Amyloid was measured using global cortical and temporal lobe standardized uptake value ratios (SUVRs) calculated from florbetapir-positron emission tomography scans. Composite global and domain-specific cognitive scores were created from 10 neurocognitive tests. Hearing was measured using an average of better-ear air conduction thresholds (0.5-4 kHz). Multivariable-adjusted linear regression estimated mean differences in hearing by amyloid and mean differences in cognitive scores by hearing, stratified by race. RESULTS In 252 dementia-free adults (72-92 years, 37% Black race, and 61% female participants), cortical or temporal lobe SUVR was not associated with hearing (models adjusted for age, sex, education, and APOE ε4). Each 10 dB HL increase in hearing loss was associated with a 0.134 standard deviation lower mean global cognitive factor score (95% CI: -0.248, -0.019), after adjustment for demographic and cardiovascular factors. Observed hearing-cognition associations were stronger in Black versus White participants. CONCLUSIONS Amyloid is not associated with hearing, suggesting that pathways linking hearing and cognition are independent of this pathognomonic Alzheimer's-related brain change. This is the first study to show that the impact of hearing loss on cognition may be stronger in Black versus White adults.
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Affiliation(s)
- Jennifer A Deal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kening Jiang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Andreea Rawlings
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nicholas S Reed
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - David Knopman
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Thomas Mosley
- The MIND Center, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Dean Wong
- Millinckrodt Institute of Radiology, Washington University School of St. Louis, St. Louis, Missouri, USA
| | - Yun Zhou
- Department of Radiology, Section of High Resolution Brain PET Imaging, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Frank R Lin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Bethesda, Maryland, USA
| | - Rebecca F Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institute of Health, Bethesda, Maryland, USA
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7
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van 't Hooft JJ, Pelkmans W, Tomassen J, Smits C, Legdeur N, den Braber A, Barkhof F, van Berckel B, Yaqub M, Scheltens P, Pijnenburg YA, Visser PJ, Tijms BM. Distinct disease mechanisms may underlie cognitive decline related to hearing loss in different age groups. J Neurol Neurosurg Psychiatry 2023; 94:314-320. [PMID: 36639225 DOI: 10.1136/jnnp-2022-329726] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 11/21/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND Hearing loss in older adults is associated with increased dementia risk. Underlying mechanisms that connect hearing loss with dementia remain largely unclear. METHODS We studied the association of hearing loss and biomarkers for dementia risk in two age groups with normal cognition: 65 participants from the European Medical Information Framework (EMIF)-Alzheimer's disease (AD) 90+ study (oldest-old; mean age 92.7 years, 56.9% female) and 60 participants from the EMIF-AD PreclinAD study (younger-old; mean age 74.4, 43.3% female). Hearing function was tested by the 'digits-in-noise test' and cognition by repeated neuropsychological evaluation. Regressions and generalised estimating equations were used to test the association of hearing function and PET-derived amyloid burden, and linear mixed models were used to test the association of hearing function and cognitive decline. In the oldest-old group, mediation analyses were performed to study whether cognitive decline is mediated through regional brain atrophy. RESULTS In oldest-old individuals, hearing function was not associated with amyloid pathology (p=0.7), whereas in the younger-old individuals hearing loss was associated with higher amyloid burden (p=0.0034). In oldest-old individuals, poorer hearing was associated with a steeper decline in memory, global cognition and language, and in the younger-old with steeper decline in language only. The hippocampus and nucleus accumbens mediated the effects of hearing loss on memory and global cognition in the oldest-old individuals. CONCLUSIONS Hearing loss was associated with amyloid binding in younger-old individuals only, and with cognitive decline in both age groups. These results suggest that mechanisms linking hearing loss with risk for dementia depends on age.
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Affiliation(s)
- Jochum J van 't Hooft
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands .,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Wiesje Pelkmans
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Cas Smits
- Otolaryngology - Head and Neck Surgery, Ear and Hearing, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Nienke Legdeur
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,UCL Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Bart van Berckel
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Yolande Al Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
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8
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Wang HF, Zhang W, Rolls ET, Li Y, Wang L, Ma YH, Kang J, Feng J, Yu JT, Cheng W. Hearing impairment is associated with cognitive decline, brain atrophy and tau pathology. EBioMedicine 2022; 86:104336. [PMID: 36356475 PMCID: PMC9649369 DOI: 10.1016/j.ebiom.2022.104336] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/01/2022] [Accepted: 10/17/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Hearing impairment was recently identified as the most prominent risk factor for dementia. However, the mechanisms underlying the link between hearing impairment and dementia are still unclear. METHODS We investigated the association of hearing performance with cognitive function, brain structure and cerebrospinal fluid (CSF) proteins in cross-sectional, longitudinal, mediation and genetic association analyses across the UK Biobank (N = 165,550), the Chinese Alzheimer's Biomarker and Lifestyle (CABLE, N = 863) study, and the Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 1770) database. FINDINGS Poor hearing performance was associated with worse cognitive function in the UK Biobank and in the CABLE study. Hearing impairment was significantly related to lower volume of temporal cortex, hippocampus, inferior parietal lobe, precuneus, etc., and to lower integrity of white matter (WM) tracts. Furthermore, a higher polygenic risk score (PRS) for hearing impairment was strongly associated with lower cognitive function, lower volume of gray matter, and lower integrity of WM tracts. Moreover, hearing impairment was correlated with a high level of CSF tau protein in the CABLE study and in the ADNI database. Finally, mediation analyses showed that brain atrophy and tau pathology partly mediated the association between hearing impairment and cognitive decline. INTERPRETATION Hearing impairment is associated with cognitive decline, brain atrophy and tau pathology, and hearing impairment may reflect the risk for cognitive decline and dementia as it is related to bran atrophy and tau accumulation in brain. However, it is necessary to assess the mechanism in future animal studies. FUNDING A full list of funding bodies that supported this study can be found in the Acknowledgements section.
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Affiliation(s)
- Hui-Fu Wang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Zhang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Edmund T Rolls
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK; Oxford Centre for Computational Neuroscience, Oxford, UK
| | - Yuzhu Li
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Linbo Wang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jujiao Kang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jianfeng Feng
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China; Zhangjiang Fudan International Innovation Center, Shanghai, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China
| | - Jin-Tai Yu
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
| | - Wei Cheng
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
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9
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Brewster KK, Deal JA, Lin FR, Rutherford BR. Considering hearing loss as a modifiable risk factor for dementia. Expert Rev Neurother 2022; 22:805-813. [PMID: 36150235 PMCID: PMC9647784 DOI: 10.1080/14737175.2022.2128769] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 09/22/2022] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Accumulating evidence links hearing loss to impaired cognitive performance and increased risk for dementia. Hearing loss can lead to deafferentation-induced atrophy of frontotemporal brain regions and dysregulation of cognitive control networks from increased listening effort. Hearing loss is also associated with reduced social engagement, loneliness, and depression, which are independently associated with poor cognitive function. AREAS COVERED We summarize the evidence and postulated mechanisms linking hearing loss to dementia in older adults and synthesize the available literature demonstrating beneficial effects of hearing remediation on brain structure and function. EXPERT OPINION : Further research is needed to evaluate whether treatment of hearing loss may reduce risk of cognitive decline and improve neural consequences of hearing loss. Studies may investigate the pathologic mechanisms linking these late-life disorders and identify individuals vulnerable to dementia, and future clinical trials may evaluate whether hearing treatment may reduce the risk for dementia.
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Affiliation(s)
- Katharine K Brewster
- Columbia University Vagelos College of Physicians and Surgeons, Department of Psychiatry, New York State Psychiatric Institute, New York
| | - Jennifer A Deal
- Department of Otolaryngology, Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Johns Hopkins University, Center on Aging and Health, Johns Hopkins University School of Medicine
| | - Frank R Lin
- Department of Otolaryngology, Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Johns Hopkins University School of Medicine
| | - Bret R Rutherford
- Columbia University Vagelos College of Physicians and Surgeons, Department of Psychiatry, New York State Psychiatric Institute, New York, USA
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10
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Powell DS, Oh ES, Reed NS, Lin FR, Deal JA. Hearing Loss and Cognition: What We Know and Where We Need to Go. Front Aging Neurosci 2022; 13:769405. [PMID: 35295208 PMCID: PMC8920093 DOI: 10.3389/fnagi.2021.769405] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/29/2021] [Indexed: 12/29/2022] Open
Abstract
Although a causal association remains to be determined, epidemiologic evidence suggests an association between hearing loss and increased risk of dementia. If we determine the association is causal, opportunity for targeted intervention for hearing loss may play a fundamental role in dementia prevention. In this discussion, we summarize current research on the association between hearing loss and dementia and review potential casual mechanisms behind the association (e.g., sensory-deprivation hypothesis, information-degradation hypothesis, common cause). We emphasize key areas of research which might best inform our investigation of this potential casual association. These selected research priorities include examination of the causal mechanism, measurement of co-existing hearing loss and cognitive impairment and determination of any bias in testing, potential for managing hearing loss for prevention of dementia and cognitive decline, or the potential to reduce dementia-related symptoms through the management of hearing loss. Addressing these research gaps and how results are then translated for clinical use may prove paramount for dementia prevention, management, and overall health of older adults.
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Affiliation(s)
- Danielle S Powell
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.,Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Esther S Oh
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.,Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Nicholas S Reed
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.,Department of Otolaryngology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Frank R Lin
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.,Department of Otolaryngology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jennifer A Deal
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.,Department of Otolaryngology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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11
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Irace AL, Rippon BQ, Brickman AM, Luchsinger JA, Golub JS. The Laterality of Early Age-Related Hearing Loss and Brain β-Amyloid. Otol Neurotol 2022; 43:e382-e390. [PMID: 35147609 PMCID: PMC8852334 DOI: 10.1097/mao.0000000000003454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Worse hearing was linked to higher brain β-amyloid, a pathologic hallmark of Alzheimer's disease, in a recent study. We analyze the associations between β-amyloid and early age-related hearing loss in the right versus left ear to explore the laterality of this relationship. STUDY DESIGN Cross-sectional analysis of a prospective cohort study. SETTING Tertiary referral center. PARTICIPANTS Ninety-eight late middle-age adults. INTERVENTIONS None. MAIN OUTCOME MEASURES The primary outcome was whole brain and regional β-amyloid standardized uptake value ratio (SUVR) on positron emission tomography. The exposure was hearing in the right and left ear, measured by pure tone average (PTA) and word recognition score (WRS). Linear regression analyzed the association between β-amyloid and hearing in each ear, adjusting for potential confounders, including age, gender, education, cardiovascular disease, and hearing aid use. RESULTS Mean age ± standard deviation was 64.3 ± 3.5 years. Mean PTA was 20.4 ± 8.8 dB. Multivariable regression adjusting for covariates demonstrated that a 10 dB worsening in PTA in the left ear was associated with significantly higher β-amyloid (SUVR) in the bilateral cingulate gyri (right coefficient: 0.029 [95% confidence interval: 0.003-0.054]; left: 0.029 [0.003-0.055]), bilateral frontal lobes (right: 0.024 [0.002-0.047]; left: 0.028 [0.006-0.049]), and the right temporal lobe (0.019 [0.002-0.037]). Consistent results were observed when WRS served as the exposure. No associations were observed between β-amyloid and PTA or WRS in the right ear. CONCLUSIONS Worse hearing in the left ear, but not the right ear, was associated with higher β-amyloid. This might relate to asymmetric central auditory processing.
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Affiliation(s)
- Alexandria L. Irace
- Department of Otolaryngology—Head and Neck Surgery,
NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York,
NY
- Vagelos College of Physicians & Surgeons, Columbia
University, New York, NY
| | | | - Adam M. Brickman
- Vagelos College of Physicians & Surgeons, Columbia
University, New York, NY
- Department of Neurology, Taub Institute for Research on
Alzheimer’s Disease and the Aging Brain, and the Gertrude H. Sergievsky
Center, Vagelos College of Physicians and Surgeons, Columbia University, New York,
NY
| | - José A. Luchsinger
- Department of Medicine, Columbia University, New York,
NY
- Department of Epidemiology, Mailman School of Public
Health, Columbia University, New York, NY
| | - Justin S. Golub
- Department of Otolaryngology—Head and Neck Surgery,
NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York,
NY
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12
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Sarant JZ, Harris DC, Busby PA, Fowler C, Fripp J, Masters CL, Maruff P. No Influence of Age-Related Hearing Loss on Brain Amyloid-β. J Alzheimers Dis 2022; 85:359-367. [PMID: 34806606 PMCID: PMC8842788 DOI: 10.3233/jad-215121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Hearing loss is independently associated with a faster rate of cognitive decline in older adults and has been identified as a modifiable risk factor for dementia. The mechanism for this association is unknown, and there has been limited exploration of potential casual pathology. OBJECTIVE Our objective was to investigate whether there was an association between degree of audiometrically measured hearing loss (HL) and brain amyloid-β (Aβ) in a pre-clinical sample. METHODS Participants of the Australian Imaging and Biomarker Longitudinal Study (AIBL; n = 143) underwent positron emission tomography (PET) imaging and objective measurement of hearing thresholds within 5 years of imaging, as well as cognitive assessment within 2 years of imaging in this observational cohort study. RESULTS With one exception, study participants who had cognitive assessments within 2 years of their PET imaging (n = 113) were classified as having normal cognition. There was no association between cognitive scores and degree of hearing loss, or between cognitive scores and Aβ load. No association between HL and Aβ load was found once age was controlled for. As previously reported, positive Apolipoprotein E4 (APOE4) carrier status increased the risk of being Aβ positive (p = 0.002). CONCLUSION Degree of HL was not associated with positive Aβ status.
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Affiliation(s)
| | | | | | | | - Jurgen Fripp
- Commonwealth Scientific and Industrial Research Organization, Queensland, Australia
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13
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Hülsmeier D, Buhl M, Wardenga N, Warzybok A, Schädler MR, Kollmeier B. Inference of the distortion component of hearing impairment from speech recognition by predicting the effect of the attenuation component. Int J Audiol 2021; 61:205-219. [PMID: 34081564 DOI: 10.1080/14992027.2021.1929515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE A model-based determination of the average supra-threshold ("distortion") component of hearing impairment which limits the benefit of hearing aid amplification. DESIGN Published speech recognition thresholds (SRTs) were predicted with the framework for auditory discrimination experiments (FADE), which simulates recognition processes, the speech intelligibility index (SII), which exploits frequency-dependent signal-to-noise ratios (SNR), and a modified SII with a hearing-loss-dependent band importance function (PAV). Their attenuation-component-based prediction errors were interpreted as estimates of the distortion component. STUDY SAMPLE Unaided SRTs of 315 hearing-impaired ears measured with the German matrix sentence test in stationary noise. RESULTS Overall, the models showed root-mean-square errors (RMSEs) of 7 dB, but for steeply sloping hearing loss FADE and PAV were more accurate (RMSE = 9 dB) than the SII (RMSE = 23 dB). Prediction errors of FADE and PAV increased linearly with the average hearing loss. The consideration of the distortion component estimate significantly improved the accuracy of FADE's and PAV's predictions. CONCLUSIONS The supra-threshold distortion component-estimated by prediction errors of FADE and PAV-seems to increase with the average hearing loss. Accounting for a distortion component improves the model predictions and implies a need for effective compensation strategies for supra-threshold processing deficits with increasing audibility loss.
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Affiliation(s)
- David Hülsmeier
- Medical Physics, CvO University Oldenburg, Oldenburg, Germany.,Cluster of Excellence Hearing4all, Oldenburg, Germany
| | - Mareike Buhl
- Medical Physics, CvO University Oldenburg, Oldenburg, Germany.,Cluster of Excellence Hearing4all, Oldenburg, Germany
| | - Nina Wardenga
- Cluster of Excellence Hearing4all, Oldenburg, Germany.,Department of Otolaryngology, Hannover Medical School, Hannover, Germany
| | - Anna Warzybok
- Medical Physics, CvO University Oldenburg, Oldenburg, Germany.,Cluster of Excellence Hearing4all, Oldenburg, Germany
| | - Marc René Schädler
- Medical Physics, CvO University Oldenburg, Oldenburg, Germany.,Cluster of Excellence Hearing4all, Oldenburg, Germany
| | - Birger Kollmeier
- Medical Physics, CvO University Oldenburg, Oldenburg, Germany.,Cluster of Excellence Hearing4all, Oldenburg, Germany
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14
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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: 85] [Impact Index Per Article: 28.3] [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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15
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Golub JS, Sharma RK, Rippon BQ, Brickman AM, Luchsinger JA. The Association Between Early Age-Related Hearing Loss and Brain β-Amyloid. Laryngoscope 2021; 131:633-638. [PMID: 32644260 PMCID: PMC7794089 DOI: 10.1002/lary.28859] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 05/12/2020] [Accepted: 05/18/2020] [Indexed: 11/09/2022]
Abstract
OBJECTIVES/HYPOTHESIS To analyze the association between early audiometric age-related hearing loss and brain β-amyloid, the pathologic hallmark of Alzheimer's disease (AD). STUDY DESIGN Cross-sectional analysis of a prospective cohort study. METHODS A cross-sectional analysis was performed on 98 participants in a cohort study of hearing and brain biomarkers of AD. The primary outcome was whole brain β-amyloid standardized uptake value ratio (SUVR) on positron emission tomography (PET). The exposure was hearing, as measured by either pure-tone average or word recognition score in the better ear. Covariates included age, gender, education, cardiovascular disease, and hearing aid use. Linear regression was performed to analyze the association between β-amyloid and hearing, adjusting for potentially confounding covariates. RESULTS The mean age ± standard deviation was 64.6 ± 3.5 years. In multivariable regression, adjusting for demographics, education, cardiovascular disease, and hearing aid use, whole brain β-amyloid SUVR increased by 0.029 (95% confidence interval [CI]: 0.003-0.056) for every 10 dB increase in pure-tone average (P = .030). Similarly, whole brain β-amyloid SUVR increased by 0.061 (95% CI: 0.009-0.112) for every 10% increase in word recognition score (P = .012). CONCLUSIONS Worsening hearing was associated with higher β-amyloid burden, a pathologic hallmark of AD, measured in vivo with PET scans. LEVEL OF EVIDENCE 3 Laryngoscope, 131:633-638, 2021.
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Affiliation(s)
- Justin S. Golub
- Department of Otolaryngology—Head and Neck Surgery, Columbia University, New York, NY, USA
| | - Rahul K. Sharma
- Department of Otolaryngology—Head and Neck Surgery, Columbia University, New York, NY, USA
| | - Brady Q. Rippon
- Department of Medicine, Columbia University, New York, NY, USA
| | - Adam M. Brickman
- Department of Neurology, the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, and the Gertrude H. Sergievsky Center; Vagelos College of Physicians and Surgeons, NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University, New York, NY, USA
| | - José A. Luchsinger
- Department of Medicine, Columbia University, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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16
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Füllgrabe C. When hearing loss masquerades as cognitive decline. J Neurol Neurosurg Psychiatry 2020; 91:1248. [PMID: 32855295 DOI: 10.1136/jnnp-2020-324707] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 07/29/2020] [Indexed: 11/04/2022]
Affiliation(s)
- Christian Füllgrabe
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
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17
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Utoomprurkporn N, Woodall K, Stott J, Costafreda SG, Bamiou DE. Hearing-impaired population performance and the effect of hearing interventions on Montreal Cognitive Assessment (MoCA): Systematic review and meta-analysis. Int J Geriatr Psychiatry 2020; 35:962-971. [PMID: 32458435 DOI: 10.1002/gps.5354] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/11/2020] [Accepted: 05/17/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Older adults are at high risk of developing age-related hearing loss (HL) and/or cognitive impairment. However, cognitive screening tools rely on oral administration of instructions and stimuli that may be impacted by HL. This systematic review aims to investigate (a) whether people with HL perform worse than those without HL on the Montreal Cognitive Assessment (MoCA), a widely used screening tool for cognitive impairment, and what the effect size of that difference is (b) whether HL treatment mitigates the impact of HL. METHOD We conducted a systematic review and meta-analysis including studies that reported mean MoCA scores and SDs for individuals with HL. RESULTS People with HL performed significantly worse on the MoCA (4 studies, N = 533) with a pooled mean difference of -1.66 points (95% confidence interval CI -2.74 to -0.58). There was no significant difference in MoCA score between the pre- vs post-hearing intervention (3 studies, N = 75). However, sensitivity analysis in the cochlear implant studies (2 studies, N = 33) showed improvement of the MoCA score by 1.73 (95% CI 0.18 to 3.28). CONCLUSION People with HL score significantly lower than individuals with normal hearing on the standard orally administered MoCA. Clinicians should consider listening conditions when administering the MoCA and report the hearing status of the tested individuals, if known, taking this into account in interpretation or make note of any hearing difficulty during consultations which may warrant onward referral. Cochlear implants may improve the MoCA score of individuals with HL, and more evidence is required on other treatments. J Am Geriatr Soc 68:-, 2020.
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Affiliation(s)
- Nattawan Utoomprurkporn
- UCL Ear Institute, Faculty of Brain Science, University College London, London, UK.,Otoneurology Unit, Otolaryngology Department, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Katherine Woodall
- UCL Ear Institute, Faculty of Brain Science, University College London, London, UK
| | - Joshua Stott
- Division of Psychology and Language Science, Faculty of Brain Sciences, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Doris Eva Bamiou
- UCL Ear Institute, Faculty of Brain Science, University College London, London, UK.,Hearing and Deafness, NIHR Biomedical Research Centre, London, UK
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