Investigating how TMS-evoked potentials relate to individual depressive symptoms in Depression
Bibliographic record
Abstract
Fall is a leading cause of injury among the elderly population and patients with Parkinson's Disease (PwPD).Adapting gait and maintaining balance after perturbations are important in preventing falls, which require precisely timed coordination of sensory information, cognitive processing, and motor control.Research has investigated how the brain contributes to maintaining balance during seating [1], standing [2], and split-belt treadmill walking [3].However, research on the mechanism of gait adaptability in response to dynamic perturbation, which simulates slip, as one of the causes of serious falls, is insufficient.In this study, sixty-four-channel electroencephalogram (EEG) and 3D kinematics of body segments are measured in fifteen young participants and planned to be measured on fifteen elderly participants and fifteen PwPD before the conference.Participants walk on the treadmill for four minutes, involving a sudden deceleration perturbation at the first right foot single stance.Recovery time and maximum instability of center of mass kinematics after perturbation were calculated to evaluate the ability to maintain balance and how participants respond to perturbation, respectively [4].Cortical responses to perturbation are measured from motor cortex electrodes.From perturbation-evoked potential, the amplitude and latency of the negative peak of electrical response occurring between 85 and 163 milliseconds (N100) [5] will be evaluated to represent the activation level of cortical response to perturbation.Event-related spectral responses will be compared between pre-and post-perturbation intra-groups to analyze the role of different EEG frequency bands on error detection and motor adjustment.We hypothesize that the maximal instability should positively correlate with the amplitude of N100.Besides, the amplitude of N100 will be in descending order for the young, older adults, and PwPD groups, with a weaker response-ability to postural compensation.Results from this research will inform future therapeutic approaches such as neurofeedback, to improve treatment of gait deficits in PD.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| 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".