Inter-hemisphere voxel-mirrored homotopic connectivity in patients with end-stage renal disease and its relation with cognitive function
Bibliographic record
Abstract
Objective To investigate the inter-hemispheric resting-state functional connectivity and its relation with cognitive function in patients with end-stage renal disease (ESRD) by using resting-state functional magnetic resonance imaging (rs-fMRI) based on voxel-mirrored homotopic connectivity (VMHC). Methods A total of 52 patients with ESRD (ESRD group), admitted to our hospital from July 2018 to January 2019, were enrolled; 36 age-, gender-, and education level-matched healthy controls (HCs group) were collected at the same time period. The cognitive function of all subjects was assessed by Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Trail Making Test (TMT)-A, TMT-B and Symbol Digit Modalities Test (SDMT). The rs-fMRI and 3D-T1WI data were acquired from all subjects; after image preprocessing, VMHC values between brain hemispheres were calculated and the regions with significantly different VMHC values were obtained. The correlations between VMHC values in significant regions and cognitive scale scores were analyzed. Results MMSE, MoCA and SDMT scores of ESRD patients were significantly lower than those of the HCs group (P<0.05), and ESRD patients took longer time to complete TMT-A and TMT-B tests than the HCs group (P<0.05). As compared with that of the HCs group, significant decrease of VMHC values of ESRD patients was found in the hippocampus, lingual gyrus, superior temporal gyrus, caudate nucleus and anterior cingulate gyrus (P<0.01, AlphaSim correction); the VMHC values of the anterior cingulate gyrus and hippocampus were positively correlated with MMSE and MoCA scores (P<0.05). Conclusion Significant abnormal inter-hemisphere functional connectivity is found in patients with ESRD, which is associated with cognitive function. Key words: End-stage renal disease; Cognitive impairment; Resting-state functional magnetic resonance imaging; Voxel-mirrored homotopic connectivity
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".