Does side-affected in Parkinson's disease (PD) contribute to visually guided locomotor tasks?
Bibliographic record
Abstract
The role of each brain hemisphere in perception has been postulated as key factor in visuospatial dysfunction in PD, since right-sided basal ganglia damage might affect connections to right hemisphere areas that are known to be involved in visuospatial tasks. This study aimed to investigate whether the configuration of corridor walls would affect perceptual judgment and gait of patients with predominant right (RPD) or left (LPD) symptoms. 11 RPD, 15 LPD, and 15 control participants used an unmarked tape measure to estimate the width of the distal opening of a corridor in two conditions: parallel (PW) and narrowing (NW) walls. Later, they walked at baseline, and through the corridors PW and NW. No difference was found between RPD and LPD in perceptual judgment or gait. Participants made more errors when judging PW, and PD patients were more variable in their judgment regardless of condition. Group by condition interactions were found for gait velocity and step length (p 0.05). While controls walked faster than PD and increased velocity from baseline to both corridor conditions, PD groups did not change velocity across conditions. Controls also walked with larger steps than PD, increasing step length while walking through both corridors, while PD groups decreased step length in PW. In conclusion, classifying PD patients according to their most affected side may not reflect the loss of connectivity between basal ganglia and brain areas responsible for visuospatial processing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".