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Record W6890251222 · doi:10.34945/f5m88z

H-reflex modulation from sensory conditioning in non injured female and male human participants

2023· dataset· en· W6890251222 on OpenAlexaff

Bibliographic record

VenueUC San Diego · 2023
Typedataset
Languageen
FieldComputer Science
TopicIntelligent Tutoring Systems and Adaptive Learning
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSensory systemStimulationDepolarizationH-reflexProprioceptionAnkleCommon peroneal nerveGABAergicAfferent

Abstract

fetched live from OpenAlex

STUDY PURPOSE: Sensory signals travelling into the spinal cord, and the control of those sensory signals, are essential for human movement. For many years it was believed that sensory signals, specifically action potentials travelling along Ia afferents, were suppressed by GABAA receptor mediated primary afferent depolarization (PAD). Recent findings in animals and humans show a faciliatory role for PAD in Ia afferent conduction, putting into question previous reports showing that conditioning inputs that putatively evoke PAD suppress subsequent H-reflex (Ia – motoneuron) activations. In this dataset, and the accompanying paper, we present data used to examine the control of sensory signals by GABAergic inputs along the Ia-motoneuron pathway in humans. DATA COLLECTED: Our sample compromised of 28 adult (age 20-58 years) human participants (11 male). Thirteen of the participants also participated in the related study (dataset 811), subject IDs match for overlapping participants. The Ia – motoneuron pathway was measured by percutaneously stimulating the tibial nerve in the popliteal fossa to activate a soleus H-reflex. The peak-peak amplitude of the soleus H-reflex was measured before (test) and after (cond) a conditioning stimulation to putatively activate GABAergic networks in the spinal cord and primary afferent depolarization (PAD) in the test (soleus) Ia afferents. Specifically, mechanical vibration of the tibialis anterior tendon at the ankle (3 pulses, 10 Hz) or percutaneous stimulation of the common fibular nerve (CFN; 1.0 or 1.5 x motor threshold, 200 Hz, 10 ms; near the fibular head on the ipsilateral leg) was applied at an interstimulus interval (ISI) before evoking the soleus H-reflex. The ISI (ISI_Vib; ISI_CFN) and average percent change of the peak-peak amplitude of the conditioned soleus H-reflex at various interstimulus intervals for each participant is presented in the data set (Vib_Hreflex; CFN_1.0xMT_Hreflex; CFN_1.5xMT_Hreflex; CFN_facilitation_Hreflex). Soleus single motor units and ongoing EMG were measured in response to the conditioning stimulation (vibration or CFN stimulation) applied alone to isolate the postsynaptic effects of the conditioning stimulation on the soleus motoneurons. Specifically, the average firing rate of the soleus single motor units (taken from the peristimulus frequencygram [PSF]; PSF_Vib; PSF_CFN_1.0xMT; PSF_CFN_1.5xMT) or amplitude of the ongoing EMG (EMG_Vib; EMG_CFN_1.0xMT; EMG_CFN_1.5xMT) over many trials was averaged into 10 ms bins (Time_of_bin_Vib; Time_of_bin_CFN) for each participant. The average early (100-300 ms after the CFN stimulation) soleus motor unit firing rate was also measured for each participant (Early_MU_area). The number of units fired per 10 ms bin from the PSF were also measured using a peristimulus time histogram (PSTH; PSTH_Vib; PSTH_CFN_1.0xMT; PSTH_CFN_1.5xMT). As a measure of post-activation depression, rate dependent depression (RDD) of the soleus H-reflex was compared to the longer CFN conditioning trials by repetitively activating (stimulating the tibial nerve in the popliteal fossa) the same soleus H-reflex at the same interstimulus intervals (500-2500ms). The average percent change of the soleus H-reflex in response to repetitive activation (by comparing the first H-reflex in a trial to the average of the next 7 H-reflexes) is presented in the data set (RDD_percent_change) for each ISI (ISI_CFN). This data is also presented showing the percent change of the soleus H-reflex in response to repetitive activations (RDD_2500_change_Hreflex; RDD_2000_change_Hreflex; RDD_1500_change_Hreflex; RDD_1000_change_Hreflex; RDD_500_change_Hreflex) and CFN conditioning stimulation (CFN_2500_change_Hreflex; CFN_2000_change_Hreflex; CFN_1500_change_Hreflex; CFN_1000_change_Hreflex; CFN_500_change_Hreflex) at each ISI (500-2500 ms) and for each H-reflex number in a trial (Hreflex_number). DATA USAGE NOTES:

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.067
GPT teacher head0.326
Teacher spread0.259 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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

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