Alterations in Cortical Microstructure, Morphology, and Intrinsic Local Function in Spiking Tissue in Patients With Focal Epilepsy
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Epilepsy is increasingly conceptualized as a network disorder, and advancing methods for its diagnosis and treatment requires characterizing both the epileptic generator and related networks. Previous research has highlighted alterations in cortical structure and hemodynamics in epilepsy, but it remains unknown whether these alterations concentrate in areas generating epileptic activity. The aim of this study was to interrogate alterations in microstructure, morphology, and intrinsic local function within and beyond spiking tissue in focal epilepsy, combining multimodal MRI and high-density EEG (HD-EEG). METHODS: In this cross-sectional study, we recruited patients with focal epilepsy from the Montreal Neurological Institute's epilepsy monitoring unit. Age-matched and sex-matched control participants were recruited from the community. The 3T MRI acquisitions included T1-weighted, diffusion, quantitative T1 relaxometry, and resting-state functional MRI. Open-access processing tools derived cortex-wide maps of morphology and microstructure (cortical thickness, mean diffusivity, and quantitative T1 relaxometry) and intrinsic local function (timescales, connectivity distance, and node strength). Multivariate approaches generated structural and functional alteration scores for each cortical location. Using HD-EEG electrical source imaging, the most prominent spike type was localized and we quantified MRI alterations within spike sources, as well as in proximal and connected networks. RESULTS: = 0.446). Structural compromise extended to all regions with close functional coupling to spike sources, but not to anatomical neighbors. DISCUSSION: In a modest sample, spiking regions contained more marked alterations in microstructure and morphology than the remaining cortex. There were nevertheless broader network effects, which may relate to a cascading of structural changes to connected cortices. These results underscore the utility of combining quantitative MRI and EEG for characterizing epileptogenic tissue and assessing network effects.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".