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Lynch KM, Bodison SC, Cabeen RP, Toga AW, Voelker CC. The spatial organization of ascending auditory pathway microstructural maturation from infancy through adolescence using a novel fiber tracking approach. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.10.597798. [PMID: 38915661 PMCID: PMC11195149 DOI: 10.1101/2024.06.10.597798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Auditory perception is established through experience-dependent stimuli exposure during sensitive developmental periods; however, little is known regarding the structural development of the central auditory pathway in humans. The present study characterized the regional developmental trajectories of the ascending auditory pathway from the brainstem to the auditory cortex from infancy through adolescence using a novel diffusion MRI-based tractography approach and along-tract analyses. We used diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) to quantify the magnitude and timing of auditory pathway microstructural maturation. We found spatially varying patterns of white matter maturation along the length of the tract, with inferior brainstem regions developing earlier than thalamocortical projections and left hemisphere tracts developing earlier than the right. These results help to characterize the processes that give rise to functional auditory processing and may provide a baseline for detecting abnormal development.
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Affiliation(s)
- Kirsten M. Lynch
- Laboratory of Neuro Imaging (LONI), USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, CA, USA
| | - Stefanie C. Bodison
- Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Ryan P. Cabeen
- Laboratory of Neuro Imaging (LONI), USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, CA, USA
| | - Arthur W. Toga
- Laboratory of Neuro Imaging (LONI), USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, CA, USA
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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.
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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
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Moon PK, Ward KM, Din TF, Saki S, Cheng AG, Yeom KW, Ahmad IN. Microstructural Changes in the Brainstem Auditory Pathway in Children With Hearing Loss. Otol Neurotol 2024; 45:e170-e176. [PMID: 38361295 PMCID: PMC10919892 DOI: 10.1097/mao.0000000000004129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
OBJECTIVE To assess the utility of diffusion tensor imaging of the auditory pathway in children with sensorineural hearing loss (SNHL). STUDY DESIGN Retrospective cohort study. SETTING A single academic tertiary children's hospital. PATIENTS Sixteen pediatric patients with bilateral SNHL of at least moderate severity in the poorer ear (eight male; mean age, 5.3 ± 4.9 yrs). Controls consisted of age- and sex-matched children with normal hearing who were imaged for nonotologic, non-neurologic medical concerns and found to have normal magnetic resonance imaging (MRI). INTERVENTIONS Three Tesla MRI scanners were used for diffusion tensor imaging. MAIN OUTCOME MEASURES Quantitative diffusion tensor metrics were extracted from the superior olivary nucleus (SON), inferior colliculus (IC), and ipsilateral fiber tracts between the SON and IC delineated by tractography. RESULTS We identified differences in fractional anisotropy of the SON between the SNHL cohort and controls (0.377 ± 0.056 vs. 0.422 ± 0.052; p = 0.009), but not in the IC. There were no differences in the mean diffusivity (MD) values in the IC and SON. Among younger children (≤5 yrs), MD was decreased in the SNHL cohort compared with controls in the IC (0.918 ± 0.051 vs. 1.120 ± 0.142; p < 0.001). However, among older children (>5 yrs), there were no differences in MD (1.124 ± 0.198 vs. 0.997 ± 0.103; p = 0.119). There were no differences in MD or fractional anisotropy in the white matter fibers of the IC-SON tract. CONCLUSIONS Our results suggest abnormal neural tracts along the central auditory pathway among children with SNHL. Longitudinal studies should assess the prognostic value of these MRI-based findings for assessing long-term outcomes and determining intervention efficacy.
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Affiliation(s)
- Peter K. Moon
- Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kristina M. Ward
- Pediatric Audiology, Lucile Packard Children’s Hospital, Stanford, CA 94305, USA
| | - Taseer F. Din
- Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sara Saki
- Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alan G. Cheng
- Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kristen W. Yeom
- Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Iram N. Ahmad
- Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
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Wang Y, Jiang M, Zhu Y, Xue L, Shu W, Li X, Chen H, Li Y, Chen Y, Chai Y, Zhang Y, Chu Y, Song Y, Tao X, Wang Z, Wu H. Impact of inner ear malformation and cochlear nerve deficiency on the development of auditory-language network in children with profound sensorineural hearing loss. eLife 2023; 12:e85983. [PMID: 37697742 PMCID: PMC10497283 DOI: 10.7554/elife.85983] [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] [Accepted: 08/09/2023] [Indexed: 09/13/2023] Open
Abstract
Profound congenital sensorineural hearing loss (SNHL) prevents children from developing spoken language. Cochlear implantation and auditory brainstem implantation can provide partial hearing sensation, but language development outcomes can vary, particularly for patients with inner ear malformations and/or cochlear nerve deficiency (IEM&CND). Currently, the peripheral auditory structure is evaluated through visual inspection of clinical imaging, but this method is insufficient for surgical planning and prognosis. The central auditory pathway is also challenging to examine in vivo due to its delicate subcortical structures. Previous attempts to locate subcortical auditory nuclei using fMRI responses to sounds are not applicable to patients with profound hearing loss as no auditory brainstem responses can be detected in these individuals, making it impossible to capture corresponding blood oxygen signals in fMRI. In this study, we developed a new pipeline for mapping the auditory pathway using structural and diffusional MRI. We used a fixel-based approach to investigate the structural development of the auditory-language network for profound SNHL children with normal peripheral structure and those with IEM&CND under 6 years old. Our findings indicate that the language pathway is more sensitive to peripheral auditory condition than the central auditory pathway, highlighting the importance of early intervention for profound SNHL children to provide timely speech inputs. We also propose a comprehensive pre-surgical evaluation extending from the cochlea to the auditory-language network, showing significant correlations between age, gender, Cn.VIII median contrast value, and the language network with post-implant qualitative outcomes.
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Affiliation(s)
- Yaoxuan Wang
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Mengda Jiang
- Department of Radiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuting Zhu
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Lu Xue
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Wenying Shu
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Xiang Li
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Hongsai Chen
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Yun Li
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Ying Chen
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Yongchuan Chai
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Yu Zhang
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Yinghua Chu
- MR Collaboration, Siemens Healthineers LtdShanghaiChina
| | - Yang Song
- MR Scientific Marketing, Siemens Healthineers LtdShanghaiChina
| | - Xiaofeng Tao
- Department of Radiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhaoyan Wang
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
| | - Hao Wu
- Department of Otolaryngology, Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Ear Institute, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose diseasesShanghaiChina
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Aksoy DÖ, Karagöz Y, Kaldırımoğlu KF, Ulusan MB, Mahmutoğlu AS. Diffusion Tensor Imaging of Auditory Pathway: A Comparison of Pediatric Cochlear Implant Candidates and Healthy Cases. J Int Adv Otol 2023; 19:333-341. [PMID: 37528599 PMCID: PMC10544541 DOI: 10.5152/iao.2023.22998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/27/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND We aimed to investigate the changes that may occur in the auditory neural network in pediatric congenital hearing loss cases. METHODS Fifty-four cochlear implant candidates and 47 normal-hearing controls were included in this retrospective study. Fractional anisotropy, radial diffusivity, and apparent diffusion coefficient maps were generated. We placed region of interest on the cochlear nucleus, superior olivary nucleus, lateral lemniscus, medial geniculate body, auditory radiation, Heschl's gyrus, inferior fronto-occipital fasciculus, superior longitudinal fascicle, and corpus callosum splenium. The area of the cochlear nerve was measured. Diffusion tensor imaging metrics, children's ages, and cochlear nerve area were compared. RESULTS Apparent diffusion coefficient and radial diffusivity values of patients were higher than the control group in all places except the radial diffusivity values of medial geniculate body. The fractional anisotropy values of the patients in lateral lemniscus, auditory radiation, Heschl's gyrus, inferior fronto-occipital fasciculus, superior longitudinal fascicle, and corpus callosum splenium were lower than the control group. There is a positive correlation between fractional anisotropy and age in both patient and control groups for all locations. The cochlear nerve area is lower in patients (0.88 ± 0.29) than in the control group (1.18 ± 0.14) (P = .000). The cochlear nerve area has a positive correlation with age in the patient group (P = .000) but has not in the control group. The cochlear nerve area positively correlates with fractional anisotropy values of all locations except fractional anisotropy values of medial geniculate body. CONCLUSION The alterations of diffusion tensor imaging metrics on the auditory pathway reflect the microstructural changes of white matter tracts.
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Affiliation(s)
- Direnç Özlem Aksoy
- University of Health Sciences Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Yeşim Karagöz
- University of Health Sciences Istanbul Training and Research Hospital, Istanbul, Turkey
| | | | - Melis Baykara Ulusan
- University of Health Sciences Istanbul Training and Research Hospital, Istanbul, Turkey
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Grégoire A, Deggouj N, Dricot L, Decat M, Kupers R. Brain Morphological Modifications in Congenital and Acquired Auditory Deprivation: A Systematic Review and Coordinate-Based Meta-Analysis. Front Neurosci 2022; 16:850245. [PMID: 35418829 PMCID: PMC8995770 DOI: 10.3389/fnins.2022.850245] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 03/01/2022] [Indexed: 12/02/2022] Open
Abstract
Neuroplasticity following deafness has been widely demonstrated in both humans and animals, but the anatomical substrate of these changes is not yet clear in human brain. However, it is of high importance since hearing loss is a growing problem due to aging population. Moreover, knowing these brain changes could help to understand some disappointing results with cochlear implant, and therefore could improve hearing rehabilitation. A systematic review and a coordinate-based meta-analysis were realized about the morphological brain changes highlighted by MRI in severe to profound hearing loss, congenital and acquired before or after language onset. 25 papers were included in our review, concerning more than 400 deaf subjects, most of them presenting prelingual deafness. The most consistent finding is a volumetric decrease in gray matter around bilateral auditory cortex. This change was confirmed by the coordinate-based meta-analysis which shows three converging clusters in this region. The visual areas of deaf children is also significantly impacted, with a decrease of the volume of both gray and white matters. Finally, deafness is responsible of a gray matter increase within the cerebellum, especially at the right side. These results are largely discussed and compared with those from deaf animal models and blind humans, which demonstrate for example a much more consistent gray matter decrease along their respective primary sensory pathway. In human deafness, a lot of other factors than deafness could interact on the brain plasticity. One of the most important is the use of sign language and its age of acquisition, which induce among others changes within the hand motor region and the visual cortex. But other confounding factors exist which have been too little considered in the current literature, such as the etiology of the hearing impairment, the speech-reading ability, the hearing aid use, the frequent associated vestibular dysfunction or neurocognitive impairment. Another important weakness highlighted by this review concern the lack of papers about postlingual deafness, whereas it represents most of the deaf population. Further studies are needed to better understand these issues, and finally try to improve deafness rehabilitation.
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Affiliation(s)
- Anaïs Grégoire
- Department of ENT, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
| | - Naïma Deggouj
- Department of ENT, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
| | - Laurence Dricot
- Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
| | - Monique Decat
- Department of ENT, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
| | - Ron Kupers
- Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
- Department of Neuroscience, Panum Institute, University of Copenhagen, Copenhagen, Denmark
- Ecole d’Optométrie, Université de Montréal, Montréal, QC, Canada
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Lazari A, Salvan P, Cottaar M, Papp D, Jens van der Werf O, Johnstone A, Sanders ZB, Sampaio-Baptista C, Eichert N, Miyamoto K, Winkler A, Callaghan MF, Nichols TE, Stagg CJ, Rushworth MFS, Verhagen L, Johansen-Berg H. Reassessing associations between white matter and behaviour with multimodal microstructural imaging. Cortex 2021; 145:187-200. [PMID: 34742100 PMCID: PMC8940642 DOI: 10.1016/j.cortex.2021.08.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 06/21/2021] [Accepted: 08/27/2021] [Indexed: 12/15/2022]
Abstract
Several studies have established specific relationships between White Matter (WM) and behaviour. However, these studies have typically focussed on fractional anisotropy (FA), a neuroimaging metric that is sensitive to multiple tissue properties, making it difficult to identify what biological aspects of WM may drive such relationships. Here, we carry out a pre-registered assessment of WM-behaviour relationships in 50 healthy individuals across multiple behavioural and anatomical domains, and complementing FA with myelin-sensitive quantitative MR modalities (MT, R1, R2∗). Surprisingly, we only find support for predicted relationships between FA and behaviour in one of three pre-registered tests. For one behavioural domain, where we failed to detect an FA-behaviour correlation, we instead find evidence for a correlation between behaviour and R1. This hints that multimodal approaches are able to identify a wider range of WM-behaviour relationships than focusing on FA alone. To test whether a common biological substrate such as myelin underlies WM-behaviour relationships, we then ran joint multimodal analyses, combining across all MRI parameters considered. No significant multimodal signatures were found and power analyses suggested that sample sizes of 40–200 may be required to detect such joint multimodal effects, depending on the task being considered. These results demonstrate that FA-behaviour relationships from the literature can be replicated, but may not be easily generalisable across domains. Instead, multimodal microstructural imaging may be best placed to detect a wider range of WM-behaviour relationships, as different MRI modalities provide distinct biological sensitivities. Our findings highlight a broad heterogeneity in WM's relationship with behaviour, suggesting that variable biological effects may be shaping their interaction.
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Affiliation(s)
- Alberto Lazari
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK.
| | - Piergiorgio Salvan
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK
| | - Michiel Cottaar
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK
| | - Daniel Papp
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK
| | - Olof Jens van der Werf
- Section Brain Stimulation and Cognition, Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands; Maastricht Brain Imaging Centre (MBIC), Maastricht University, Maastricht, the Netherlands
| | - Ainslie Johnstone
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK; Department of Clinical and Movement Neuroscience, Institute of Neurology, University College London, UK
| | - Zeena-Britt Sanders
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK
| | - Cassandra Sampaio-Baptista
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK
| | - Nicole Eichert
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK
| | - Kentaro Miyamoto
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, UK
| | - Anderson Winkler
- National Institute of Mental Health, National of Health, Bethesda, MD, USA
| | - Martina F Callaghan
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Thomas E Nichols
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nu_eld Department of Population Health, University of Oxford, UK
| | - Charlotte J Stagg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, UK; MRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK
| | - Matthew F S Rushworth
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, UK
| | - Lennart Verhagen
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, UK; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Heidi Johansen-Berg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nu_eld Department of Clinical Neurosciences, University of Oxford, UK.
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8
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Shiohama T, Chew B, Levman J, Takahashi E. Quantitative analyses of high-angular resolution diffusion imaging (HARDI)-derived long association fibers in children with sensorineural hearing loss. Int J Dev Neurosci 2020; 80:717-729. [PMID: 33067827 DOI: 10.1002/jdn.10071] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 09/18/2020] [Accepted: 10/12/2020] [Indexed: 11/08/2022] Open
Abstract
Sensorineural hearing loss (SNHL) is the most common developmental sensory disorder due to a loss of function within the inner ear or its connections to the brain. While successful intervention for auditory deprivation with hearing amplification and cochlear implants during a sensitive early developmental period can improve spoken-language outcomes, SNHL patients can suffer several cognitive dysfunctions including executive function deficits, visual cognitive impairment, and abnormal visual dominance in speaking perception even after successful intervention. To evaluate whether long association fibers are involved in the pathogenesis of impairment on the extra-auditory cognitive process in SNHL participants, we quantitatively analyzed high-angular resolution diffusion imaging (HARDI) tractography-derived fibers in participants with SNHL. After excluding cases with congenital disorders, perinatal brain damage, or premature birth, we enrolled 17 participants with SNHL aged under 10 years old. Callosal pathways (CP) and six types of cortico-cortical association fibers (arcuate fasciculus [AF], inferior longitudinal fasciculus [ILF], inferior fronto-occipital fasciculus [IFOF], uncinate fasciculus [UF], cingulum fasciculus [CF], and fornix [Fx]) in both hemispheres were identified and visualized. The ILF and IFOF were partly undetected in three profound SNHL participants. Compared to age- and gender-matched neurotypical controls (NC), decreased volumes, increased lengths, and high apparent diffusion coefficient (ADC) values without difference in fractional anisotropy (FA) values were identified in multiple types of fibers in the SNHL group. The impairment of long association fibers in SNHL may partly be related to the association of cognitive dysfunction with SNHL.
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Affiliation(s)
- Tadashi Shiohama
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Pediatrics, Chiba University Hospital, Chiba, Japan
| | - Brianna Chew
- College of Science, Northeastern University, Boston, MA, USA
| | - Jacob Levman
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
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Dhir SB, Kutten KS, Li M, Faria AV, Younes L, Ratnanather JT. Visualising the topography of the acoustic radiation in clinical diffusion tensor imaging scans. Neuroradiology 2020; 62:1157-1167. [PMID: 32430643 DOI: 10.1007/s00234-020-02436-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 04/13/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE It has long been thought that the acoustic radiation (AR) white matter fibre tract from the medial geniculate body of the thalamus to the Heschl's gyrus cannot be reconstructed via single-fibre analysis of clinical diffusion tensor imaging (DTI) scans. A recently developed single-fibre probabilistic method suggests otherwise. The method uses dynamic programming (DP) to compute the most probable paths between two regions of interest. This study aims to observe the ability of single-fibre probabilistic analysis via DP to visualise the AR in clinical DTI scans from legacy pilot cohorts of subjects with normal hearing (NH) and profound hearing loss (HL). METHODS Single-fibre probabilistic analysis via DP was applied to reconstruct 3D models of the AR in the two cohorts. DTI and T1 data at 1.5 T for subjects with NH (n = 11) and HL (n = 5), as well as 3 T for NH (n = 1) and HL (n = 1), were used. RESULTS The topographical features of AR previously observed in post-mortem and multi-fibre analyses can be visualised in DTI scans of 16 subjects and 2 atlases with a success rate of 100%. Relative to MNI coordinates, there was no significant difference in the varifold distances between the topography of the tracts in the 1.5 T cohort. CONCLUSION The AR can be visualised in clinical 1.5 T and 3 T DTI scans using single-fibre probabilistic analysis via DP, hence, the potential for DP to visualise the AR in medical and pre-surgical applications in pathologies such as vestibular schwannoma, multiple sclerosis, thalamic tumours and stroke as well as hearing loss.
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Affiliation(s)
- S Bryn Dhir
- Center for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Kwame S Kutten
- Center for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Muwei Li
- Vanderbilt University, Nashville, TN, 37235, USA
| | - Andreia V Faria
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Laurent Younes
- Center for Imaging Science and Institute for Computational Medicine, Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - J Tilak Ratnanather
- Center for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
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Ratnanather JT. Structural neuroimaging of the altered brain stemming from pediatric and adolescent hearing loss-Scientific and clinical challenges. WILEY INTERDISCIPLINARY REVIEWS. SYSTEMS BIOLOGY AND MEDICINE 2020; 12:e1469. [PMID: 31802640 PMCID: PMC7307271 DOI: 10.1002/wsbm.1469] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 10/01/2019] [Accepted: 10/13/2019] [Indexed: 12/20/2022]
Abstract
There has been a spurt in structural neuroimaging studies of the effect of hearing loss on the brain. Specifically, magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) technologies provide an opportunity to quantify changes in gray and white matter structures at the macroscopic scale. To date, there have been 32 MRI and 23 DTI studies that have analyzed structural differences accruing from pre- or peri-lingual pediatric hearing loss with congenital or early onset etiology and postlingual hearing loss in pre-to-late adolescence. Additionally, there have been 15 prospective clinical structural neuroimaging studies of children and adolescents being evaluated for cochlear implants. The results of the 70 studies are summarized in two figures and three tables. Plastic changes in the brain are seen to be multifocal rather than diffuse, that is, differences are consistent across regions implicated in the hearing, speech and language networks regardless of modes of communication and amplification. Structures in that play an important role in cognition are affected to a lesser extent. A limitation of these studies is the emphasis on volumetric measures and on homogeneous groups of subjects with hearing loss. It is suggested that additional measures of morphometry and connectivity could contribute to a greater understanding of the effect of hearing loss on the brain. Then an interpretation of the observed macroscopic structural differences is given. This is followed by discussion of how structural imaging can be combined with functional imaging to provide biomarkers for longitudinal tracking of amplification. This article is categorized under: Developmental Biology > Developmental Processes in Health and Disease Translational, Genomic, and Systems Medicine > Translational Medicine Laboratory Methods and Technologies > Imaging.
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Affiliation(s)
- J. Tilak Ratnanather
- Center for Imaging Science, Johns Hopkins University, Baltimore, Maryland
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
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