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Record W4310481526 · doi:10.1101/2022.11.26.22282419

Deep brain stimulation improves symptoms of spasmodic dysphonia through targeting of thalamic sensorimotor connectivity

2022· preprint· en· W4310481526 on OpenAlexaff
Michael G. Hart, Nancy E. Polyhronopoulos, Mandeep K. Sandhu, Christopher R. Honey

Bibliographic record

VenuemedRxiv · 2022
Typepreprint
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDeep brain stimulationThalamusSpasmodic dysphoniaNeuroscienceDystoniaPsychologyTractographyThalamic stimulatorEssential tremorWhite matterPhysical medicine and rehabilitationMedicineBotulinum toxinMagnetic resonance imagingRadiologyPathologyParkinson's disease

Abstract

fetched live from OpenAlex

ABSTRACT Background Spasmodic dysphonia is a dystonia of the vocal chords producing difficulty with speech. Current hypotheses are that this is a condition of dysregulated thalamic sensory-motor integration. A recent randomised controlled trial of thalamic deep brain stimulation (DBS) demonstrated its safety and efficacy. Our objective was to determine if the outcome could be predicted by stimulation of thalamic sensorimotor regions and adjacent white matter connectivity as assessed by diffusion tractography. Methods A cohort of six participants undergoing thalamic deep brain stimulation for adductor spasmodic dysphonia was studied. Electrodes were localised with the Lead-DBS toolbox. Group-based analyses were performed with atlases, co-ordinates, and using voxel-based symptom mapping. Diffusion tensor imaging (3 Tesla, 64 directions, 2mm isotropic) was used to perform individual probabilistic tractography (cerebellothalamic tract and pallidothalamic tract) and segmentation of the thalamus. Monopolar review was performed at 0.5V and binarised as effective or ineffective. Results Effective contacts stimulated more of thalamic regions connected to sensorimotor cortex than ineffective contacts (p<0.05, FDR corrected). This effect was consistent across analytical and statistical techniques. Group-level and tractography analyses did not identify a specific ‘sweet spot’ suggesting the benefit of DBS is derived from modulating individual thalamic sensorimotor connectivity. Stimulations at one year involved predicted thalamic sensorimotor regions with additional cerebellothalamic tract involvement. Conclusions Symptoms of spasmodic dysphonia are effectively treated by DBS. Stimulation of thalamic sensorimotor areas was associated with symptomatic improvement. These data are consistent with DBS acting upon pathophysiologically dysregulated thalamic sensorimotor integration in spasmodic dysphonia. What is known on this topic Spasmodic dysphonia is a dystonia affecting speech with few treatment options other than speech therapy and botulinum toxin. What this study adds Deep brain stimulation is demonstrated to be an effective therapy by targeting sensorimotor areas of the thalamus. How might this study affect research, practice or policy These data add to the evidence that spasmodic dysphonia is due to dysregulated thalamic sensorimotor integration, and also suggest novel targets for steering stimulation towards to maximise benefit.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.288
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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