The local neural markers of MRI in patients with temporal lobe epilepsy presenting ictal panic: A resting resting-state postictal fMRI study
Bibliographic record
Abstract
OBJECTIVES: Temporal lobe epilepsy (TLE) is one of the most common focal epilepsies. Some patients with TLE have ictal panic (IP), which is often confused with panic attack (PA) in panic disorder (PD). Previous studies have described temporal lobe epilepsy with ictal panic (TLEIP), but the specific mechanisms remain unclear. Here, we used resting-state functional magnetic resonance imaging (rs-fMRI) to investigate local brain abnormalities in patients with TLEIP and tried to find neural markers to explore the mechanism of IP in patients with TLE. METHODS: A total of 40 patients with TLE, including 28 patients with TLE and 12 patients with TLEIP along with 30 age- and gender-matched healthy controls were included. We collected clinical/physiological/neuropsychological and rs-fMRI data. Fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), and degree centrality (DC) were calculated. ANOVA was used to find different areas and t-tests used to compare differences among fALFF, ReHo, and DC. Correlation analyses explored the relationship between local brain abnormalities and patient characteristics. RESULTS: No significant differences in age and gender were found among the three groups, nor were there differences in education level, Montreal Cognitive Assessment (MOCA) and Hamilton Anxiety Scale (HAMA) between the TLEIP and TLE groups. All the onset sites of patients with TLEIP were on the right. In addition to fear, other symptoms observed included nausea, palpitations, rising epigastric sensation, and dyspnea. There were no correlations between duration of IP and HAMA (p = 0.659). Moreover, all IP durations were <2 min and most <1 min. Compared to the HCs group, the ReHo value of the TLEIP group in the right middle frontal gyrus was significantly decreased (GRF correction, two-tailed, voxel level P < 0.005, cluster level P < 0.05). Compared to the HCs and TLE groups, the DC value of the TLEIP group in the left middle temporal gyrus (MTG) was significantly increased (GRF correction, two-tailed, voxel level P < 0.005, cluster level P < 0.05). No regions showed any significant fALFF difference between HCs and TLE groups (GRF correction, two-tailed, voxel level P < 0.005, cluster level P < 0.05). CONCLUSIONS: This research describes local brain abnormalities in patients with TLE presenting as IP. These results will be preliminarily conducive to understand the seizure mechanism of IP in patients with TLE, find out the MRI neural markers, and to further explore the neurophysiological mechanisms of IP in patients with TLE.
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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 | 0.001 | 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".