JNNP: Important brain biomarker for trauma seizures: preliminary report on epileptic bioinficial studies of anti-epileptic drug therapy (EpiBioS4Rx).

Traumatic brain injury (TBI) is associated with secondary damage to seizures and post-traumatic epilepsy (PTE).
Although previous work has identified some potential biomarkers, there is no comprehensive study to validate biomarkers in TBI to show ideopes with a risk of seizures and induced seizures.
report a preliminary assessment of structural magnetic resonance imaging (MRI) biomarkers from early TBI episodes.
the analysis, 96 patients were counted.
patients were screened and grouped at 72 hours after moderate to severe TBI had bleeding bruising in the frontal lobe or temporal temporal.
were included in the criteria for 6-100 years of age and the Glasgow Coma Scale (GCS).
exclusion criteria are individual diffuse axon injuries, individual epidural or epidural bleeding, individual hypoxic brain injury, pregnancy and pre-existing neurodegenerative or epileptic diseases.
in the total sample, 80 were male and 20 female, with an average age of 42 years (SD - 21 years).
average field GCS is 8.29 (SD s 4.45).
at least 72 hours of 24-hour cEEG data in the first seven days after TBI.
high-resolution MRI data is obtained on 3 T MR systems.
has obtained a set of MR data, the current work is focused on T1 weighted (MPRAGE) data.
mri parameters are optimized at each location, with a repeat time (TR) between 1.9 and 2.3 ms and a resolution of approximately 1 mm for the same sex.
recorded acute seizures at each point and uploaded them to the Central Research Electronic Data Capture (REDcap) platform, where a team of experts used the Ottman PTE questionnaire to perform a longitudinal assessment of the PTE on discharge and on the 30th and 90th days after the injury.
divided the patients into three groups: those without seizures (non-seizure groups), those with seizures starting from the first week after the injury (early group), and those who began experiencing at least one seizure in the first week after the injury (late group).
mrI data analysis: through the program to check the cortical functional band thinning and the partial volume of the cortical layer is insufficient.
in short, T1-weighted data is extracted using optiBET9 and segmented using algorithms based on the FMRIB software library (FSL; for subsurtic structures) and Freesurfer (for cortic structures).
the authors calculated standardized brain volume (using SIENAX) and used it as a normalization factor (i.e., covariate) in all analyses.
then input cortique and cortogenic segmentation in two algorithmic analyses.
First, the author carried out a variance analysis, taking the thinning of the cort belt and the deficiency of local capacity under the cort matter (at each python) as the factor variable, taking the group (no seizures, early seizures, late seizures) as the argument, controlling age, sex, severity of injury, injury and normalization of brain capacity the day after MR diagnosis.
groups of comparisons, the significantness of p -lt;0.05 was assessed with cluster correction.
follow-up of clusters showing significant grouping by post-pair comparison (with Tukey-Kramer correction).
second, we combined demographic, clinical, and MR data in our analytical models to assess their relative importance in predicting seizure susceptivity (early and late collapse).
In order to reduce the dimensionality of MR data (i.e., pigment), we first extracted the average shape statistics of ROI under 68 corties (34 per hemisphere) and 15 corties (seven per hemisphere, plus brain trunks) and entered them into the main component analysis (using varimax rotation) to preserve all components of the feature value ( later known as MR components).
then enter demographic information (i.e. age, gender, number of days after MR diagnoses an injury), clinical data (total number of admitted GCS), standardized brain capacity and MR components into a binary Logistic regression analysis.
to compare the relative importance of each set of variables in predicting seizures.
report, the authors provide preliminary evidence of a relationship between structural abnormalities and seizures in the early post-TBI period.
specifically, seizures secondary to TBI appear to be associated with changes in the structural shape of the right hippocupral and cortique, consistent with previous animal and human reports.
, early and late onset are associated with different patterns of structural pathology in these regions.
In addition, the authors' data show that MR data, demographic data, and clinical measurements of the severity of the injury can separate patients with seizures (90 days after injury) with higher AUC accuracy, specificity, sensitivity, and precision.
Lutkenhoff ES, Shrestha V, Ruiz Tejeda J, et al Early brain biomarkers of post-traumatic res: initial report of the multicentre epilepsy bioinformatics study for antiepilegenicity therapy (EpiBioS4Rx) study of prospective journal of Neurology, Neurosurgery and Psimsy Published Online First: 26 August 2020. doi: 10.1136/jnnp-2020-322780MedSci Original Source: MedSci Original. This !-- end of the content presentation -- !-- determine if the sign-in ends.