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Kshatriya N, Battistella G, Simonyan K. Structural and functional brain alterations in laryngeal dystonia: A coordinate-based activation likelihood estimation meta-analysis. Hum Brain Mapp 2024; 45:e70000. [PMID: 39305101 PMCID: PMC11415616 DOI: 10.1002/hbm.70000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 08/02/2024] [Indexed: 10/15/2024] Open
Abstract
Laryngeal dystonia (LD) is an isolated, task-specific, focal dystonia characterized by intermittent spasms of laryngeal muscles impairing speech production. Although recent studies have demonstrated neural alterations in LD, the consistency of findings across studies is not well-established, limiting their translational applicability. We conducted a systematic literature search to identify studies reporting stereotactic coordinates of peak structural and functional abnormalities in LD patients compared to healthy controls, followed by a coordinate-based activation likelihood estimation meta-analysis. A total of 21 functional and structural neuroimaging studies, including 31 experiments in 521 LD patients and 448 healthy controls, met the study inclusion criteria. The multimodal meta-analysis of these studies identified abnormalities in the bilateral primary motor cortices, the left inferior parietal lobule and striatum, the right insula, and the supplementary motor area in LD patients compared to healthy controls. The meta-analytical findings reinforce the current view of dystonia as a neural network disorder and consolidate evidence for future investigations probing these targets with new therapies.
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Affiliation(s)
- Nyah Kshatriya
- Department of Otolaryngology‐Head and Neck SurgeryMassachusetts Eye and Ear and Harvard Medical SchoolBostonMassachusettsUSA
- Program in Speech Hearing Bioscience and TechnologyHarvard UniversityBostonMassachusettsUSA
| | - Giovanni Battistella
- Department of Otolaryngology‐Head and Neck SurgeryMassachusetts Eye and Ear and Harvard Medical SchoolBostonMassachusettsUSA
| | - Kristina Simonyan
- Department of Otolaryngology‐Head and Neck SurgeryMassachusetts Eye and Ear and Harvard Medical SchoolBostonMassachusettsUSA
- Program in Speech Hearing Bioscience and TechnologyHarvard UniversityBostonMassachusettsUSA
- Department of NeurologyMassachusetts General HospitalBostonMassachusettsUSA
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Gaines JL, Kim KS, Parrell B, Ramanarayanan V, Pongos AL, Nagarajan SS, Houde JF. Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia. PLoS Comput Biol 2024; 20:e1011986. [PMID: 39392859 PMCID: PMC11498721 DOI: 10.1371/journal.pcbi.1011986] [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] [Received: 03/11/2024] [Revised: 10/23/2024] [Accepted: 09/17/2024] [Indexed: 10/13/2024] Open
Abstract
Behavioral speech tasks have been widely used to understand the mechanisms of speech motor control in typical speakers as well as in various clinical populations. However, determining which neural functions differ between typical speakers and clinical populations based on behavioral data alone is difficult because multiple mechanisms may lead to the same behavioral differences. For example, individuals with cerebellar ataxia (CA) produce atypically large compensatory responses to pitch perturbations in their auditory feedback, compared to typical speakers, but this pattern could have many explanations. Here, computational modeling techniques were used to address this challenge. Bayesian inference was used to fit a state feedback control (SFC) model of voice fundamental frequency (fo) control to the behavioral pitch perturbation responses of speakers with CA and typical speakers. This fitting process resulted in estimates of posterior likelihood distributions for five model parameters (sensory feedback delays, absolute and relative levels of auditory and somatosensory feedback noise, and controller gain), which were compared between the two groups. Results suggest that the speakers with CA may proportionally weight auditory and somatosensory feedback differently from typical speakers. Specifically, the CA group showed a greater relative sensitivity to auditory feedback than the control group. There were also large group differences in the controller gain parameter, suggesting increased motor output responses to target errors in the CA group. These modeling results generate hypotheses about how CA may affect the speech motor system, which could help guide future empirical investigations in CA. This study also demonstrates the overall proof-of-principle of using this Bayesian inference approach to understand behavioral speech data in terms of interpretable parameters of speech motor control models.
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Affiliation(s)
- Jessica L. Gaines
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, California, United States of America
| | - Kwang S. Kim
- Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana, United States of America
| | - Ben Parrell
- Department of Communication Sciences and Disorders, University of Wisconsin–Madison, Madison, Wisconsin, United States of America
| | - Vikram Ramanarayanan
- Department of Otolaryngology, University of California, San Francisco, San Francisco, California, United States of America
- Modality.ai, San Francisco, California, United States of America
| | - Alvincé L. Pongos
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, California, United States of America
| | - Srikantan S. Nagarajan
- Department of Otolaryngology, University of California, San Francisco, San Francisco, California, United States of America
- Department of Radiology, University of California, San Francisco, San Francisco, California, United States of America
| | - John F. Houde
- Department of Otolaryngology, University of California, San Francisco, San Francisco, California, United States of America
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Lee CW, Krüger MT, Akram H, Zrinzo L, Rubin J, Birchall MA, Fishman JM. Central Mechanisms and Pathophysiology of Laryngeal Dystonia: An Up-to-Date Review. J Voice 2024:S0892-1997(24)00217-0. [PMID: 39138040 DOI: 10.1016/j.jvoice.2024.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/06/2024] [Accepted: 07/07/2024] [Indexed: 08/15/2024]
Abstract
OBJECTIVE Laryngeal dystonia (LD), previously termed spasmodic dysphonia, is an isolated focal dystonia that involves involuntary, uncontrolled contractions of the laryngeal muscles during speech. It is a severely disabling condition affecting patients' work and social lives through prevention of normal speech production. Our understanding of the pathophysiology of LD and available therapeutic options are currently limited. The aim of this short review is to provide an up-to-date summary of what is known about the central mechanisms and the pathophysiology of LD. METHODS A systematic review of the literature was performed searching Embase, CINHAL, Medline, and Cochrane with the cover period January 1990-October 2023 with a search strategy (("Laryngeal dystonia" OR "Spasmodic dysphonia") AND ("Central Mechanism" OR "Pathophysiology")). Original studies involving LD patients that discussed central mechanisms and/or pathophysiology of LD were chosen. RESULTS Two hundred twenty-six articles were identified of which 27 articles were included to formulate this systematic review following the screening inclusion and exclusion criteria. LD is a central neurological disorder involving a multiregional altered neural network. Affected neural circuits not only involve the motor control circuit, but also the feedforward, and the feedback circuits of the normal speech production neural network, involving higher-order planning, somatosensory perception and integration regions of the brain. CONCLUSION Speech production is a complex process, and LD is a central neurological disorder involving multiregional neural network connectivity alteration reflecting this. Neuromodulation targeting the central nervous system could therefore be considered and explored as a new potential therapeutic option for LD in the future, and should assist in elucidating the underlying central mechanisms responsible for causing the condition.
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Affiliation(s)
- Chang Woo Lee
- Department of Otolaryngology-Head and Neck Surgery, University Hospitals Dorset NHS Foundation Trust, Poole, UK.
| | - Marie T Krüger
- Department of Neurosurgery, UCL Functional Neurosurgery Unit, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London, UK; Department of Neurosurgery, University Medical Centre, Freiburg, Germany
| | - Harith Akram
- Department of Neurosurgery, UCL Functional Neurosurgery Unit, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London, UK
| | - Ludvic Zrinzo
- Department of Neurosurgery, UCL Functional Neurosurgery Unit, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London, UK
| | - John Rubin
- Department of Otolaryngology-Head and Neck Surgery, The Royal National ENT Voice Centre, The Royal National ENT Hospital, University College London Hospitals NHS Trust, London, UK
| | - Martin A Birchall
- Department of Otolaryngology-Head and Neck Surgery, The Royal National ENT Voice Centre, The Royal National ENT Hospital, University College London Hospitals NHS Trust, London, UK
| | - Jonathan M Fishman
- Department of Otolaryngology-Head and Neck Surgery, The Royal National ENT Voice Centre, The Royal National ENT Hospital, University College London Hospitals NHS Trust, London, UK
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Nudelman CJ. Sensorimotor Integration in Patients with Voice Disorders: A Scoping Review of Behavioral Research. Folia Phoniatr Logop 2024; 76:501-520. [PMID: 38569477 DOI: 10.1159/000538661] [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: 02/20/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND In recent years, research has determined that impaired sensorimotor integration is a contributor to the formation of voice symptoms and voice disorders. A scoping review is undertaken to explore the current state of scientific research regarding behavioral examinations of sensorimotor integration impairments in patients. SUMMARY Following the guidelines of the PRISMA Extension for Scoping Reviews, five online databases identified papers published between 2000 and 2023, from which 17 publications were selected that used sensorimotor integration paradigms with voice-related acoustics as an outcome variable in individuals diagnosed with a voice disorder. Across the 17 studies, sensorimotor integration was behaviorally examined via auditory-motor paradigms in 315 patients with voice disorders and 344 controls. Broadly, patients with vocal hyperfunction demonstrated impaired auditory-motor and somatosensory-motor integration. Patients with unilateral vocal fold paralysis demonstrated impaired sensorimotor integration attributed to changes in the primary brain areas of speech motor control. Patients with laryngeal dystonia demonstrated varying results, with no conclusive evidence regarding sensorimotor integration in behavioral voicing tasks. Patients with Parkinson's disease demonstrated varying results as well, with a general trend of increased dependance on the feedback control system of voice production. Patients with ataxic dysarthria demonstrated that auditory feedback control was impaired possibly due to inaccurate error estimation and correction arising from the damage to their cerebellar pathways. Finally, patients with cerebellar degeneration demonstrated disruptions in both feedback and feed-forward control. KEY MESSAGES Sensorimotor integration in the context of voice disorders is an important consideration in understanding how different sensory streams operate in healthy voice production, and how sensory feedback can be optimized in clinical treatments of voice disorders. The present scoping review reveals that behavioral research has focused primarily on auditory-motor integration paradigms, and this supports the possibility of a disconnect between these behavioral studies and existing theoretical conceptualizations of vocal motor control.
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Affiliation(s)
- Charles J Nudelman
- Department of Speech and Hearing Science, University of Illinois Urbana-Champaign, Champaign, Illinois, USA
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Ehrlich SK, Battistella G, Simonyan K. Temporal Signature of Task-Specificity in Isolated Focal Laryngeal Dystonia. Mov Disord 2023; 38:1925-1935. [PMID: 37489600 PMCID: PMC10615685 DOI: 10.1002/mds.29557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/06/2023] [Accepted: 06/28/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Laryngeal dystonia (LD) is focal task-specific dystonia, predominantly affecting speech but not whispering or emotional vocalizations. Prior neuroimaging studies identified brain regions forming a dystonic neural network and contributing to LD pathophysiology. However, the underlying temporal dynamics of these alterations and their contribution to the task-specificity of LD remain largely unknown. The objective of the study was to identify the temporal-spatial signature of altered cortical oscillations associated with LD pathophysiology. METHODS We used high-density 128-electrode electroencephalography (EEG) recordings during symptomatic speaking and two asymptomatic tasks, whispering and writing, in 24 LD patients and 22 healthy individuals to investigate the spectral dynamics, spatial localization, and interregional effective connectivity of aberrant cortical oscillations within the dystonic neural network, as well as their relationship with LD symptomatology. RESULTS Symptomatic speaking in LD patients was characterized by significantly increased gamma synchronization in the middle/superior frontal gyri, primary somatosensory cortex, and superior parietal lobule, establishing the altered prefrontal-parietal loop. Hyperfunctional connectivity from the left middle frontal gyrus to the right superior parietal lobule was significantly correlated with the age of onset and the duration of LD symptoms. Asymptomatic whisper in LD patients had not no statistically significant changes in any frequency band, whereas asymptomatic writing was characterized by significantly decreased synchronization of beta-band power localized in the right superior frontal gyrus. CONCLUSION Task-specific oscillatory activity of prefrontal-parietal circuitry is likely one of the underlying mechanisms of aberrant heteromodal integration of information processing and transfer within the neural network leading to dystonic motor output. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Stefan K. Ehrlich
- Department of Otolaryngology - Head & Neck Surgery, Harvard Medical School and Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114, USA
| | - Giovanni Battistella
- Department of Otolaryngology - Head & Neck Surgery, Harvard Medical School and Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114, USA
| | - Kristina Simonyan
- Department of Otolaryngology - Head & Neck Surgery, Harvard Medical School and Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114, USA
- Department of Neurology - Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
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Li T, Chang Y, Zhao S, Jones JA, Chen X, Gan C, Wu X, Dai G, Li J, Shen Y, Liu P, Liu H. The left inferior frontal gyrus is causally linked to vocal feedback control: evidence from high-definition transcranial alternating current stimulation. Cereb Cortex 2022; 33:5625-5635. [PMID: 36376991 DOI: 10.1093/cercor/bhac447] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
Current models of speech motor control propose a role for the left inferior frontal gyrus (IFG) in feedforward control of speech production. There is evidence, however, that has implicated the functional relevance of the left IFG for the neuromotor processing of vocal feedback errors. The present event-related potential (ERP) study examined whether the left IFG is causally linked to auditory feedback control of vocal production with high-definition transcranial alternating current stimulation (HD-tACS). After receiving active or sham HD-tACS over the left IFG at 6 or 70 Hz, 20 healthy adults vocalized the vowel sounds while hearing their voice unexpectedly pitch-shifted by ±200 cents. The results showed that 6 or 70 Hz HD-tACS over the left IFG led to larger magnitudes and longer latencies of vocal compensations for pitch perturbations paralleled by larger ERP P2 responses than sham HD-tACS. Moreover, there was a lack of frequency specificity that showed no significant differences between 6 and 70 Hz HD-tACS. These findings provide first causal evidence linking the left IFG to vocal pitch regulation, suggesting that the left IFG is an important part of the feedback control network that mediates vocal compensations for auditory feedback errors.
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Affiliation(s)
- Tingni Li
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Yichen Chang
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Shuzhi Zhao
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Jeffery A Jones
- Wilfrid Laurier University Psychology Department and Laurier Centre for Cognitive Neuroscience, , Waterloo, Ontario N2L 3C5 , Canada
| | - Xi Chen
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Chu Gan
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Xiuqin Wu
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Guangyan Dai
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Jingting Li
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Ying Shen
- The First Affiliated Hospital of Nanjing Medical University Rehabilitation Medicine Center, , Nanjing 210029 , China
| | - Peng Liu
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
| | - Hanjun Liu
- The First Affiliated Hospital, Sun Yat-sen University Department of Rehabilitation Medicine, , Guangzhou 510080 , China
- Zhongshan School of Medicine, Sun Yat-sen University Guangdong Provincial Key Laboratory of Brain Function and Disease, , Guangzhou 510080 , China
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