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Record W2613651049

The impact of auditory feedback on reaching movements with induced paresthesia

2014· article· en· W2613651049 on OpenAlex
Kelsey M Brown, Ran Zheng, Steven Passmore, Cheryl M. Glazebrook

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Exercise, Movement, and Sport · 2014
Typearticle
Languageen
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsUniversity of AlbertaUniversity of Manitoba
Fundersnot available
KeywordsPhysical medicine and rehabilitationVisual feedbackSensory systemMedicineSomatosensory systemRepeated measures designAuditory feedbackAudiologyPsychologyComputer scienceComputer visionNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

Beyond visual feedback, somatosensory feedback provides information to help determine limb locations and movement accuracy. Previously we found that induced paresthesia removed the predicted movement time (MT) and time to peak velocity (ttPV) differences for reaching movements in vision and no vision conditions. Induced paresthesia also led to early end-position bias, but only when vision of limb was unavailable. The present study investigated if adding auditory feedback for accurate reaching trials improves reaching movements when vision is removed. Fourteen healthy right-handed participants (9 males, M=22.7[SD=2.9] years), performed 400 reaching movements over two days. Four possible targets were paired with four experimental condition combinations: Vision/No Vision; Paresthesia/No Paresthesia. Order of the target locations and visual targets were blocked and counterbalanced. Visual feedback was removed using visual occlusion spectacles (PLATO, Translucent Technologies). Median nerve paresthesia was temporarily induced using a constant current stimulator (DS7AH, Digitimer), and standardized sensory testing confirmed disrupted feedback. Participants were motivated to improve their MTs while maintaining endpoint accuracy with incentives for accurate movements with shorter MTs. Movements were recorded using a 3D motion analysis system at 300Hz (Optotrak-3D Investigator, NDI) and analyzed using a 2 Vision by 2 Paresthesia by 2 Performance (Early trials/Late trials) repeated measures ANOVA. Analyses revealed that participants’ reaction times improved with practice, MTs remained unchanged. A Vision by Early/Late Performance interaction revealed that participants decreased their ttPV only when vision was available (early=192ms; late=179ms). A Paresthesia by Movement Proportion by Performance interaction revealed that with paresthesia trial-trial variability of the limb position increased from early to late performance, however, a difference was no longer present at endpoint. In contrast, limb position variability decreased from early to late performance when paresthesia was not present. The present results support the use of auditory cues to mitigate the detrimental effect of paresthesia on movement accuracy. Acknowledgments: This project was funded by Manitoba Medical Service Foundation, Manitoba Health Research Council and Natural Sciences and Engineering Research Council. We would like to thank Brie Page, Tamires Prado and Aric Bremer for their help with data collection.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.848
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.020
GPT teacher head0.260
Teacher spread0.240 · 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