Altered interhemispheric functional connectivity in end-stage renal disease patients receiving hemodialysis without cognitive impairment
Bibliographic record
Abstract
Background Previous studies have shown that alterations in brain structure, metabolism, and function are prevalent in patients with end-stage renal disease (ESRD); however, the synchronization of early functional changes between the two functional hemispheres in these patients remains unclear. This study aimed to analyze interhemispheric functional connectivity in patients with ESRD using resting-state fMRI with voxel mirrored homotopic connectivity (VMHC) algorithm. Methods The study cohort comprised 36 patients with ESRD receiving hemodialysis without cognitive impairment and 34 matched healthy control (HCs). All participants completed neuropsychological assessments (e.g., Mini-Mental State Examination, Montreal Cognitive Assessment, Self-Rated Anxiety Scale, and Self-Rated Depression Scale) prior to MR scanning, and all patients underwent laboratory tests. Results Compared with HCs, patients with ESRD exhibited significantly decreased VMHC values in bilateral regions including the inferior parietal lobule/angular gyrus, superior temporal gyrus, insula, precentral gyrus, middle occipital gyrus, calcarine/cuneus, and lingual gyrus. No brain regions showed increased VMHC values. Although patients with ESRD had no clinically significant cognitive impairment, their performance on neuropsychological tests was significantly worse than that of HCs (all p =0.001). Notably, no correlations were observed between VMHC values and neuropsychological test scores or clinical indicators in patients with ESRD (all p > 0.05). Conclusion Our findings suggest that interhemispheric connectivity is impaired in patients with ESRD without cognitive impairment, providing novel insights into early-stage neural abnormalities in this population.
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 | 0.000 | 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".