Combined structural and neurochemical evaluation of the corticospinal tract in amyotrophic lateral sclerosis
Bibliographic record
Abstract
Our objective was to characterize the structural and metabolic changes of the corticospinal tract (CST) in ALS patients using combined diffusion tensor imaging (DTI) and magnetic resonance spectroscopic imaging (MRSI). Fourteen patients (male:female, 6:8; mean age, 54 years) and 14 controls (male:female, 8:6; mean age, 53 years) underwent imaging. Four regions of the CST were evaluated: precentral gyrus, corona radiata, posterior limb of the internal capsule, and cerebral peduncle. DTI and MRSI indices tested included fractional anisotropy (FA), apparent diffusion coefficient (ADC), and the ratio of N-acetylaspartate to choline (NAA/Cho) and creatine (NAA/Cr). In the precentral gyrus, NAA/Cho was reduced 18% (p<0.001), NAA/Cr was reduced 9% (p=0.01), and FA was reduced 3% (p=0.02). NAA/Cho and NAA/Cr were reduced in the corona radiata (p<0.001). Reduced NAA/Cho in the precentral gyrus correlated with shorter symptom duration (r=0.66, p=0.02) and faster disease progression (r=-0.65, p=0.008). Increased spasticity correlated with higher ADC in the precentral gyrus (R=0.52, p=0.005). In conclusion, both MRSI and DTI provided in vivo evidence of intracranial degeneration of the CST in ALS that was most prominent rostrally in the precentral gyrus.
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 | 0.001 |
| 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 | 0.000 | 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".