MétaCan
Menu
← Back to cohort
Record W7132872758

Sensorimotor integration in Parkinson’s disease during lower limb movements

2023· dissertation· W7132872758 on OpenAlexaff
Stephanie Tran

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsUniversity of Toronto
FundersInternational Parkinson and Movement Disorder Society
KeywordsSensory systemBalance (ability)Supine positionVestibular systemGaitParkinson's diseaseDeep brain stimulationSubthalamic nucleusGlobus pallidus
DOInot available

Abstract

fetched live from OpenAlex

External sensory information can be applied to facilitate balance in Parkinson’s disease (PD); however, in some instances, it can also disrupt movement (e.g., doorways and fast auditory cues). We examined visual-vestibular sensory integration during gait (Study 1) and neural oscillatory activity in response to doorways (Study 2) and auditory cues (Study 3) during foot pedaling. In Study 1, we tested 13 people with PD, 13 older adults (OA), and 15 young adults (YA). While walking in a virtual environment, visual and vestibular perturbations were applied to cause deviations in gait trajectories. We found that people with PD and OA integrated perturbed sensory information and showed more gait deviations than YA. In Study 2, we tested 19 people with PD while seated with electroencephalography. They were required to bilaterally pedal their feet to navigate through a virtual series of doors. Doorway-provoked lower limb motor blocks (LLMB) correlated with freezing severity and were associated with decreased beta and theta oscillations in the left temporal pole. Dopaminergic medications increased beta and theta power in the left fusiform gyrus and reduced LLMB percent durations. In Study 3, we tested 25 people with PD undergoing deep brain stimulation surgery. We recorded in the globus pallidus internus (GPi) or subthalamic nucleus (STN) while they pedaled their feet in a supine position in synchrony with auditory cues. We found that the GPi responded to the sensory aspect of the task, showing tonic beta desynchronization with fast cue frequencies. The STN responded to motor aspects of the task with beta rebounds following motor onset. Overall, we show that i) visual-vestibular sensory integration may be preserved in PD, and ii) motor block triggers, such as doorways and fast auditory cues, are related to decreased oscillatory activity in the ventral visual pathway and increased beta modulations in the basal ganglia. Understanding the role of these neurophysiological changes can open avenues to improve treatment in PD.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.028
GPT teacher head0.309
Teacher spread0.281 · 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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueTSpace→Same topicMotor Control and Adaptation→French-language works237,207→