Alterations of brain network efficiency in patients with refractory epilepsy
Bibliographic record
Abstract
Objective To discuss the alterations of brain network efficiency in patients with refractory epilepsy. Methods A total of 26 patients with refractory epilepsy and 26 healthy controls with age, sex and education level matched were enrolled into this study. The 26 patients were admitted to Department of Epilepsy Surgery at Anhui Provincial Hospital Affiliated to Anhui Medical University from October 2015 to June 2016. Data of resting-state fMRI in both epilepsy and control groups were collected and preprocessed with Network Construction which was one module of GRETNA software for obtaining of matrix of brain network. Network Analysis was used to obtain global and local efficiency. With the sparsity of connected matrix set as threshold, the brain network efficiencies in 2 groups were compared in the range of 0.05-0.40. Results There was no statistical difference in age, sex and education level between epilepsy and control groups (all P>0.05), while the score of Montreal Cognitive Assessment (MoCA) in epilepsy group (19.6±2.7) was significantly lower than that in control (26.8±3.6) (P=0.026). The global network efficiency in refractory epilepsy group was significantly lower than that in healthy control group in the range of 0.11-0.18 (P<0.05). The average local network efficiency was compared between 2 groups in the range of 0.05-0.40. The results showed that the local efficiency in the hippocampus was lower in epilepsy group than control, while the local efficiencies in the right insula, left opercular inferior frontal gyrus, left inferior temporal gyrus, left superior occipital gyrus and right globus pallidus were higher in epilepsy group than control. Conclusions The global network efficiency in refractory epilepsy group seems to be significantly lower than that in healthy control group within a certain range of threshold. The abnormal local efficiency in certain brain areas may be the neural network basis of clinical symptoms in patients with intractable epilepsy. Key words: Epilepsy; Magnetic resonance imaging, functional; Network efficiency
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".