Three-dimensional somatotopic organization and probabilistic mapping of motor responses from the human internal capsule
Bibliographic record
Abstract
OBJECT: The somatotopic organization of the motor fibers within the posterior limb of the internal capsule (IC) in humans remains unclear. Several electrophysiological atlases created from stimulation during stereotactic neurosurgery have suggested that there is considerable overlap between representations of body parts. Overlap reported in these studies may have been due to linear scaling methods applied to the data that were unable to account for individual anatomical variability. In the current work, the authors attempted to overcome these limitations by using a nonlinear registration technique to better understand the spatial location and extent of the body-part representations in the IC. METHODS: Data were acquired during 30 cases of deep brain neurosurgery in which the IC was electrically stimulated to localize the ventrolateral nucleus for a subsequent thalamotomy or implantation of a thalamic deep brain stimulator. Motor responses from the tongue, face, arm, or leg were evoked in the IC and coded in the patient's native MR imaging space. The tagged MR images were then nonlinearly registered to a high-resolution template MR image. This work resulted in a functional electrophysiological atlas demonstrating the locations of body-part representations in the posterior limb of the IC that takes individual anatomical variability into account. To further understand the spatial location and extent of the motor responses, the electrophysiological data points were transformed into 3D probability maps that describe the likelihood of obtaining motor responses in the posterior limb of the IC. RESULTS: The analyses suggest a reliable face-anterior, arm-intermediate, and leg-posterior somatotopic organization in the posterior limb of the IC with little overlap between the body-part representations. CONCLUSIONS: This probabilistic atlas of functional responses evoked by stimulating the posterior limb of the IC provides better understanding of the anatomical organization of descending motor fibers, can be used for indirect intraoperative confirmation of the location of the ventrolateral thalamus, and is applicable to clinical and research MR imaging studies requiring information on spatial organization of motor fibers at the thalamic level in the human brain.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".