Exploring brain activation during a buttoning task in adults: A functional near infrared spectroscopy investigation
Why this work is in the frame
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Bibliographic record
Abstract
The ability to complete activities of daily living (ADLs) is an important part of daily life and can promote well-being and independence. There is currently limited knowledge of brain activity during ADLs (e.g. dressing tasks). Previous studies explored brain activity during dressing using functional magnetic resonance imaging (fMRI); however, the supine position during fMRI is not a natural dressing posture and may impact findings. Functional near-infrared spectroscopy (fNIRS) is a promising method of data collection as it can investigate brain activity in a natural state (sitting) during dressing. In this study, to understand brain activity during buttoning in unimpaired adults, twenty participants (25–65 years) completed an upper extremity task of buttoning in three 20 s repetitions with 15 s rest in between each activity block. Brain activation patterns were recorded using fNIRS over the prefrontal, premotor, supplementary motor, sensorimotor, and posterior parietal cortices. Compared to the resting period, significantly higher activation during the activity block was observed in all recorded regions but the posterior parietal cortex. Understanding brain activity in unimpaired adults during the performance of activities of daily living is a critical first-step for investigating brain activation in different clinical populations. • Brain activity when completing a daily task such as dressing has not previously been investigated. • Functional near infrared spectroscopy measures brain activity during dressing in a natural state. • Brain activity increased within several sensorimotor cortical areas when buttoning a shirt. • No increased brain activity was observed within cortical areas related to spatial orientation.
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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 | 0.001 |
| 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 it