Effect of Lumbar Drainage on Cortical Excitability in Normal Pressure Hydrocephalus
Bibliographic record
Abstract
BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is characterized by the clinical triad of gait disturbance, urinary incontinence, and memory impairment with normal cerebrospinal fluid (CSF) pressure. Transcranial magnetic stimulation (TMS) has been used to assess the corticospinal motor pathways in patients with iNPH with conflicting results. METHODS: Our study included 11 patients with iNPH and 13 healthy controls. All the subjects underwent TMS and resting motor threshold (RMT), central motor conduction time (CMCT), short-interval intracortical inhibition (SICI), intracortical facilitation, and silent period (SP) were recorded in the upper limb. Besides, RMT and CMCT in lower limb were also recorded. Cognitive assessments were done using mini-mental status examination, Montreal cognitive assessment (MoCA), and Addenbrooke's cognitive evaluation III (ACE III). Same parameters were recorded 24 h of CSF (lumbar puncture, LP) drainage. RESULTS: Mean age of the iNPH patients was 69.00 ± 6.71 years with age at onset being 66.64 ± 7.10 years. Duration of disease was 1.80 ± 1.25 years. A significant difference was noted in CMCT for the lower limb (CMCT-LL), SICI, and ipsilateral SP between pre-LP NPH and controls. Also, there was a significant difference in MoCA and ACE III between pre-LP NPH and controls. A significant reduction was observed in lower limb RMT between pre- and post-LP NPH patients. Post LP, there was a reduction in the lower limb CMCT and improvement in SICI. CONCLUSION: A significant prolongation of CMCT-LL was observed in NPH patients. Lumbar CSF drainage in them resulted in a significant reduction in lower limb RMT thereby suggesting an increase in cortical excitability.
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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 | 0.001 |
| 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) | 0.001 | 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".