Bilateral Prefrontal Cortex Activation During Sensorimotor Tasks in People with Subacute Stroke – An Exploratory Functional Near-Infrared Spectroscopy Study
Bibliographic record
Abstract
BackgroundPost-stroke, damage to the prefrontal cortex (PFC) disrupts the neural circuits involved in motor control and sensorimotor integration, which contributes to impaired ankle sensorimotor function.ObjectiveApply functional near-infrared spectroscopy (fNIRS) post-stroke to investigate, 1) whether PFC activation differed among active and passive dorsiflexion/plantarflexion and somatosensory stimulation of the paretic ankle, 2) differences between hemispheres, and 3) interhemispheric asymmetry and functional outcomes.MethodsIn nine participants, bilateral hemodynamic responses of the PFC were collected with fNIRS during active and passive dorsiflexion/plantarflexion and somatosensory stimulation. Sensorimotor function and interhemispheric asymmetry were assessed using the Fugl-Meyer Lower Extremity (FMLE) assessment and laterality index.ResultsAcross the three tasks, no differences in PFC activation were found within or between hemispheres. There was a potential relationship between interhemispheric asymmetry with the sensory and motor portions of the FMLE, suggesting that greater asymmetry during passive and somatosensory stimulation tasks may be associated with poorer functional outcomes.ConclusionsOur results highlight that ankle sensorimotor functions may not generate different levels of PFC activation in a single hemisphere. The imbalance of PFC activation between the hemispheres from somatosensory and motor input may relate to clinical somatosensory function, which could be a useful measure of recovery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".