The 'automatic pilot' for the hand in patients with hemispatial neglect
Bibliographic record
Abstract
Left hemispatial neglect manifests itself in a rightward bias in perceptual tasks, yet the presence of this neglect-specific bias in visuomotor control remains a matter of debate. Here we investigated the ability of neglect patients (compared to patients without neglect and healthy controls) to rapidly adjust or interrupt (stop) their ongoing reach in response to a rightward or leftward target jump. Although neglect patients successfully corrected their reaches towards the left and right target shifts, these corrections were significantly slowed for leftward jumps. Interestingly though, in the stop condition neglect patients performed involuntary corrections towards the leftward target, similarly to those seen for the control groups. Furthermore, and unexpectedly, we found that neglect patients were impaired at stopping their movements in response to target jumps towards both sides of space. We argue that, in contrast to optic ataxic patients, who suffered from lesions in their dorsal visual stream, neglect patients show an ‘automatic pilot’ for reaching, yet that this ‘pilot’ is markedly slowed when the target jumps in a leftward direction. We also suggest that the inability to stop an ongoing reach might be related to non-lateralized deficits in response inhibition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".