1
|
Esmaelpoor J, Peng T, Jelfs B, Mao D, Shader MJ, McKay CM. Resting-State Functional Connectivity Predicts Cochlear-Implant Speech Outcomes. Ear Hear 2024:00003446-990000000-00313. [PMID: 39012793 DOI: 10.1097/aud.0000000000001564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
OBJECTIVES Cochlear implants (CIs) have revolutionized hearing restoration for individuals with severe or profound hearing loss. However, a substantial and unexplained variability persists in CI outcomes, even when considering subject-specific factors such as age and the duration of deafness. In a pioneering study, we use resting-state functional near-infrared spectroscopy to predict speech-understanding outcomes before and after CI implantation. Our hypothesis centers on resting-state functional connectivity (FC) reflecting brain plasticity post-hearing loss and implantation, specifically targeting the average clustering coefficient in resting FC networks to capture variation among CI users. DESIGN Twenty-three CI candidates participated in this study. Resting-state functional near-infrared spectroscopy data were collected preimplantation and at 1 month, 3 months, and 1 year postimplantation. Speech understanding performance was assessed using consonant-nucleus-consonant words in quiet and Bamford-Kowal-Bench sentences in noise 1-year postimplantation. Resting-state FC networks were constructed using regularized partial correlation, and the average clustering coefficient was measured in the signed weighted networks as a predictive measure for implantation outcomes. RESULTS Our findings demonstrate a significant correlation between the average clustering coefficient in resting-state functional networks and speech understanding outcomes, both pre- and postimplantation. CONCLUSIONS This approach uses an easily deployable resting-state functional brain imaging metric to predict speech-understanding outcomes in implant recipients. The results indicate that the average clustering coefficient, both pre- and postimplantation, correlates with speech understanding outcomes.
Collapse
Affiliation(s)
- Jamal Esmaelpoor
- Department of Medical Bionics, University of Melbourne, Melbourne, Australia
- The Bionics Institute of Australia, Melbourne, Australia
| | - Tommy Peng
- Department of Medical Bionics, University of Melbourne, Melbourne, Australia
- The Bionics Institute of Australia, Melbourne, Australia
| | - Beth Jelfs
- Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, United Kingdom
| | - Darren Mao
- Department of Medical Bionics, University of Melbourne, Melbourne, Australia
- The Bionics Institute of Australia, Melbourne, Australia
| | - Maureen J Shader
- Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Colette M McKay
- Department of Medical Bionics, University of Melbourne, Melbourne, Australia
- The Bionics Institute of Australia, Melbourne, Australia
| |
Collapse
|
2
|
Zhang P, Yang J, Shu Y, Cheng M, Zhao X, Wang K, Lu L, Xing Q, Niu G, Meng L, Wang X, Zhou L, Zhang X. The value of synthetic MRI in detecting the brain changes and hearing impairment of children with sensorineural hearing loss. Front Neurosci 2024; 18:1365141. [PMID: 38919907 PMCID: PMC11197400 DOI: 10.3389/fnins.2024.1365141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 05/21/2024] [Indexed: 06/27/2024] Open
Abstract
Introduction Sensorineural hearing loss (SNHL) can arise from a diverse range of congenital and acquired factors. Detecting it early is pivotal for nurturing speech, language, and cognitive development in children with SNHL. In our study, we utilized synthetic magnetic resonance imaging (SyMRI) to assess alterations in both gray and white matter within the brains of children affected by SNHL. Methods The study encompassed both children diagnosed with SNHL and a control group of children with normal hearing {1.5-month-olds (n = 52) and 3-month-olds (n = 78)}. Participants were categorized based on their auditory brainstem response (ABR) threshold, delineated into normal, mild, moderate, and severe subgroups.Clinical parameters were included and assessed the correlation with SNHL. Quantitative analysis of brain morphology was conducted using SyMRI scans, yielding data on brain segmentation and relaxation time.Through both univariate and multivariate analyses, independent factors predictive of SNHL were identified. The efficacy of the prediction model was evaluated using receiver operating characteristic (ROC) curves, with visualization facilitated through the utilization of a nomogram. It's important to note that due to the constraints of our research, we worked with a relatively small sample size. Results Neonatal hyperbilirubinemia (NH) and children with inner ear malformation (IEM) were associated with the onset of SNHL both at 1.5 and 3-month groups. At 3-month group, the moderate and severe subgroups exhibited elevated quantitative T1 values in the inferior colliculus (IC), lateral lemniscus (LL), and middle cerebellar peduncle (MCP) compared to the normal group. Additionally, WMV, WMF, MYF, and MYV were significantly reduced relative to the normal group. Additionally, SNHL-children with IEM had high T1 values in IC, and LL and reduced WMV, WMF, MYV and MYF values as compared with SNHL-children without IEM at 3-month group. LL-T1 and WMF were independent risk factors associated with SNHL. Consequently, a prediction model was devised based on LL-T1 and WMF. ROC for training set, validation set and external set were 0.865, 0.806, and 0.736, respectively. Conclusion The integration of T1 quantitative values and brain volume segmentation offers a valuable tool for tracking brain development in children affected by SNHL and assessing the progression of the condition's severity.
Collapse
Affiliation(s)
- Penghua Zhang
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jinze Yang
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yikai Shu
- Henan University of Science and Technology, Luoyang, Henan, China
| | - Meiying Cheng
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xin Zhao
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Kaiyu Wang
- MRI Research, GE Healthcare, Beijing, China
| | - Lin Lu
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qingna Xing
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Guangying Niu
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lingsong Meng
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xueyuan Wang
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Liang Zhou
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoan Zhang
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|
3
|
Sacco A, Gordon SG, Lomber SG. Connectome alterations following perinatal deafness in the cat. Neuroimage 2024; 290:120554. [PMID: 38431180 DOI: 10.1016/j.neuroimage.2024.120554] [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: 12/12/2023] [Revised: 02/23/2024] [Accepted: 02/24/2024] [Indexed: 03/05/2024] Open
Abstract
Following sensory deprivation, areas and networks in the brain may adapt and reorganize to compensate for the loss of input. These adaptations are manifestations of compensatory crossmodal plasticity, which has been documented in both human and animal models of deafness-including the domestic cat. Although there are abundant examples of structural plasticity in deaf felines from retrograde tracer-based studies, there is a lack of diffusion-based knowledge involving this model compared to the current breadth of human research. The purpose of this study was to explore white matter structural adaptations in the perinatally-deafened cat via tractography, increasing the methodological overlap between species. Plasticity was examined by identifying unique group connections and assessing altered connectional strength throughout the entirety of the brain. Results revealed a largely preserved connectome containing a limited number of group-specific or altered connections focused within and between sensory networks, which is generally corroborated by deaf feline anatomical tracer literature. Furthermore, five hubs of cortical plasticity and altered communication following perinatal deafness were observed. The limited differences found in the present study suggest that deafness-induced crossmodal plasticity is largely built upon intrinsic structural connections, with limited remodeling of underlying white matter.
Collapse
Affiliation(s)
- Alessandra Sacco
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Stephen G Gordon
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Stephen G Lomber
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada; Department of Physiology, McGill University, Montreal, Quebec, Canada.
| |
Collapse
|
4
|
Quatre R, Schmerber S, Attyé A. Improving rehabilitation of deaf patients by advanced imaging before cochlear implantation. J Neuroradiol 2024; 51:145-154. [PMID: 37806523 DOI: 10.1016/j.neurad.2023.10.002] [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: 09/17/2023] [Revised: 10/05/2023] [Accepted: 10/05/2023] [Indexed: 10/10/2023]
Abstract
INTRODUCTION Cochlear implants have advanced the management of severe to profound deafness. However, there is a strong disparity in hearing performance after implantation from one patient to another. Moreover, there are several advanced kinds of imaging assessment before cochlear implantation. Microstructural white fiber degeneration can be studied with Diffusion weighted MRI (DWI) or tractography of the central auditory pathways. Functional MRI (fMRI) allows us to evaluate brain function, and CT or MRI segmentation to better detect inner ear anomalies. OBJECTIVE This literature review aims to evaluate how helpful pre-implantation anatomic imaging can be to predict hearing rehabilitation outcomes in deaf patients. These techniques include DWI and fMRI of the central auditory pathways, and automated labyrinth segmentation by CT scan, cone beam CT and MRI. DESIGN This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were selected by searching in PubMed and by checking the reference lists of relevant articles. Inclusion criteria were adults over 18, with unilateral or bilateral hearing loss, who had DWI acquisition or fMRI or CT/ Cone Beam CT/ MRI image segmentation. RESULTS After reviewing 172 articles, we finally included 51. Studies on DWI showed changes in the central auditory pathways affecting the white matter, extending to the primary and non-primary auditory cortices, even in sudden and mild hearing impairment. Hearing loss patients show a reorganization of brain activity in various areas, such as the auditory and visual cortices, as well as regions involved in language and emotions, according to fMRI studies. Deep Learning's automatic segmentation produces the best CT segmentation in just a few seconds. MRI segmentation is mainly used to evaluate fluid space of the inner ear and determine the presence of an endolymphatic hydrops. CONCLUSION Before cochlear implantation, a DWI with tractography can evaluate the central auditory pathways up to the primary and non-primary auditory cortices. This data is then used to generate predictions on the auditory rehabilitation of patients. A CT segmentation with systematic 3D reconstruction allow a better evaluation of cochlear malformations and predictable difficulties during surgery.
Collapse
Affiliation(s)
- Raphaële Quatre
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, University Hospital, Grenoble, France; BrainTech Lab INSERM UMR 2015, Grenoble, France; GeodAIsics, Grenoble, France.
| | - Sébastien Schmerber
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, University Hospital, Grenoble, France; BrainTech Lab INSERM UMR 2015, Grenoble, France
| | - Arnaud Attyé
- Department of Neuroradiology, University Hospital, Grenoble, France; GeodAIsics, Grenoble, France
| |
Collapse
|
5
|
Zhuang H, Li Q, Sun C, Xu D, Gan G, Zhang C, Chen C, Yuan Y, Liu L, Xiao Y, Yao X, Wang C, Kang X, Yang C, Zhao J, Chen W, Wang J, Li J, Luo C, Wang J, Jia X, Yu Z, Liu L. Voluntary wheel exercise ameliorates cognitive impairment, hippocampal neurodegeneration and microglial abnormalities preceded by demyelination in a male mouse model of noise-induced hearing loss. Brain Behav Immun 2023; 114:325-348. [PMID: 37683962 DOI: 10.1016/j.bbi.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/23/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023] Open
Abstract
Acquired peripheral hearing loss (APHL) in midlife has been identified as the greatest modifiable risk factor for dementia; however, the pathophysiological neural mechanisms linking APHL with an increased risk of dementia remain to be elucidated. Here, in an adult male mouse model of noise-induced hearing loss (NIHL), one of the most common forms of APHL, we demonstrated accelerated age-related cognitive decline and hippocampal neurodegeneration during a 6-month follow-up period, accompanied by progressive hippocampal microglial aberrations preceded by immediate-onset transient elevation in serum glucocorticoids and delayed-onset sustained myelin disruption in the hippocampus. Pretreatment with the glucocorticoid receptor antagonist RU486 before stressful noise exposure partially mitigated the early activation of hippocampal microglia, which were present at 7 days post noise exposure (7DPN), but had no impact on later microglial aberrations, hippocampal neurodegeneration, or cognitive decline exhibited at 1 month post noise exposure (1MPN). One month of voluntary wheel exercise following noise exposure barely affected either the hearing threshold shift or hippocampal myelin changes but effectively countered cognitive impairment and the decline in hippocampal neurogenesis in NIHL mice at 1MPN, paralleled by the normalization of microglial morphology, which coincided with a reduction in microglial myelin inclusions and a restoration of microglial hypoxia-inducible factor-1α (HIF1α) expression. Our results indicated that accelerated cognitive deterioration and hippocampal neuroplastic decline following NIHL are most likely driven by the maladaptive response of hippocampal microglia to myelin damage secondary to hearing loss, and we also demonstrated the potential of voluntary physical exercise as a promising and cost-effective strategy to alleviate the detrimental impact of APHL on cognitive function and thus curtail the high and continuously increasing global burden of dementia. Furthermore, the findings of the present study highlight the contribution of myelin debris overload to microglial malfunction and identify the microglial HIF1α-related pathway as an attractive candidate for future comprehensive investigation to obtain a more definitive picture of the underlying mechanisms linking APHL and dementia.
Collapse
Affiliation(s)
- Hong Zhuang
- Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Qian Li
- Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Congli Sun
- Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Dan Xu
- School of Public Health, Southeast University, Nanjing 210009, China
| | - Guangming Gan
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Chenchen Zhang
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Chen Chen
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Yang Yuan
- Department of Endocrinology, Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, China
| | - Linchen Liu
- Department of Rheumatology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yu Xiao
- Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Xiuting Yao
- Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Conghui Wang
- Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Xiaoming Kang
- School of Life Science and Technology, Southeast University, Nanjing 210009, China
| | - Chenxi Yang
- Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Jingyi Zhao
- School of Life Science and Technology, Southeast University, Nanjing 210009, China
| | - Wenhao Chen
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Jiatang Wang
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Jinyu Li
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Caichen Luo
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Jie Wang
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Xirui Jia
- School of Life Science and Technology, Southeast University, Nanjing 210009, China
| | - Zhehao Yu
- Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Lijie Liu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Physiology, School of Medicine, Southeast University, Nanjing 210009, China.
| |
Collapse
|
6
|
Park MH, Kim JS, Lee S, Kim DH, Oh SH. Increased Resting-State Positron Emission Tomography Activity After Cochlear Implantation in Adult Deafened Cats. Clin Exp Otorhinolaryngol 2023; 16:326-333. [PMID: 36397262 DOI: 10.21053/ceo.2022.00423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 11/09/2022] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES Cochlear implants are widely used for hearing rehabilitation in patients with profound sensorineural hearing loss. However, Cochlear implants have variable. RESULTS and central neural plasticity is considered to be a reason for this variability. We hypothesized that resting-state cortical networks play a role in conditions of profound hearing loss and are affected by cochlear implants. To investigate the resting-state neuronal networks after cochlear implantation, we acquired 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) images in experimental animals. METHODS Eight adult domestic cats were enrolled in this study. The hearing threshold of the animals was within the normal range, as measured by auditory evoked potential. They were divided into control (n=4) and hearing loss (n=4) groups. Hearing loss was induced by co-administration of ethacrynic acid and kanamycin. FDG-PET was performed in a normal hearing state and 4 and 11 months after the deafening procedure. Cochlear implantation was performed in the right ear, and electrical cochlear stimulation was performed for 7 months (from 4 to 11 months after the deafening procedure). PET images were compared between the two groups at the three time points. RESULTS Four months after hearing loss, the auditory cortical area's activity decreased, and activity in the associated visual area increased. After 7 months of cochlear stimulation, the superior marginal gyrus and cingulate gyrus, which are components of the default mode network, showed hypermetabolism. The inferior colliculi showed hypometabolism. CONCLUSION Resting-state cortical activity in the default mode network components was elevated after cochlear stimulation. This suggests that the animals' awareness level was elevated after hearing restoration by the cochlear implantation.
Collapse
Affiliation(s)
- Min-Hyun Park
- Department of Otorhinolaryngology, Seoul National University College of Medicine, Seoul, Korea
- Department of Otorhinolaryngology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Jin Su Kim
- Division of RI Application, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
| | - Seonhwa Lee
- Division of RI Application, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
| | - Doo Hee Kim
- Department of Otorhinolaryngology, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Ha Oh
- Department of Otorhinolaryngology, Seoul National University College of Medicine, Seoul, Korea
- Sensory Organ Research Institute, Seoul National University Medical Research Center, Seoul, Korea
| |
Collapse
|
7
|
Koehler H, Croy I, Oleszkiewicz A. Late Blindness and Deafness are Associated with Decreased Tactile Sensitivity, But Early Blindness is Not. Neuroscience 2023; 526:164-174. [PMID: 37385331 DOI: 10.1016/j.neuroscience.2023.06.016] [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: 02/01/2023] [Revised: 06/08/2023] [Accepted: 06/17/2023] [Indexed: 07/01/2023]
Abstract
Perceptual experience is shaped by a complex interaction between our sensory systems in which each sense conveys information on specific properties of our surroundings. This multisensory processing of complementary information improves the accuracy of our perceptual judgments and leads to more precise and faster reactions. Sensory impairment or loss in one modality leads to information deficiency that can impact other senses in various ways. For early auditory or visual loss, impairment and/or compensatory increase of the sensitivity of other senses are equally well described. Investigating individuals with deafness (N = 73), early (N = 51), late blindness (N = 49) and corresponding controls, we compared tactile sensitivity using the standard monofilament test on two locations, the finger and handback. Results indicate lower tactile sensitivity in people with deafness and late blindness but not in people with early blindness compared to respective controls, irrespective of stimulation location, gender, and age. Results indicate that neither sensory compensation nor simple use-dependency or a hindered development of the tactile sensory system is sufficient to explain changes in somatosensation after the sensory loss but that a complex interaction of effects is present.
Collapse
Affiliation(s)
- Hanna Koehler
- Department of Neurology, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany; Biomagnetic Center, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany; Department of Psychology, Clinical Psychology, Friedrich Schiller University Jena, Fürstengraben 1, 07743 Jena, Germany.
| | - Ilona Croy
- Department of Psychology, Clinical Psychology, Friedrich Schiller University Jena, Fürstengraben 1, 07743 Jena, Germany; Department of Psychotherapy and Psychosomatic Medicine, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Fetscherstr. 74, 01307 Dresden, Germany
| | - Anna Oleszkiewicz
- Department of Otorhinolaryngology, Smell and Taste Clinic, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; Institute of Psychology, University of Wrocław, ul. Dawida 1, 50-527 Wroclaw, Poland
| |
Collapse
|