EEGgui: a program used to detect electroencephalogram anomalies after traumatic brain injury

BACKGROUND: Identifying and quantifying pathological changes in brain electrical activity is important for investigations of brain injury and neurological disease. An example is the development of epilepsy, a secondary consequence of traumatic brain injury. While certain epileptiform events can be identified visually from electroencephalographic (EEG) or electrocorticographic (ECoG) records, quantification of these pathological events has proved to be more difficult. In this study we developed MATLAB-based software that would assist detection of pathological brain electrical activity following traumatic brain injury (TBI) and present our MATLAB code used for the analysis of the ECoG. METHODS: Software was developed using MATLAB(™) and features of the open access EEGLAB. EEGgui is a graphical user interface in the MATLAB programming platform that allows scientists who are not proficient in computer programming to perform a number of elaborate analyses on ECoG signals. The different analyses include Power Spectral Density (PSD), Short Time Fourier analysis and Spectral Entropy (SE). ECoG records used for demonstration of this software were derived from rats that had undergone traumatic brain injury one year earlier. RESULTS: The software provided in this report provides a graphical user interface for displaying ECoG activity and calculating normalized power density using fast fourier transform of the major brain wave frequencies (Delta, Theta, Alpha, Beta1, Beta2 and Gamma). The software further detects events in which power density for these frequency bands exceeds normal ECoG by more than 4 standard deviations. We found that epileptic events could be identified and distinguished from a variety of ECoG phenomena associated with normal changes in behavior. We further found that analysis of spectral entropy was less effective in distinguishing epileptic from normal changes in ECoG activity. CONCLUSION: The software presented here was a successful modification of EEGLAB in the Matlab environment that allows detection of epileptiform ECoG signals in animals after TBI. The code allows import of large EEG or ECoG data records as standard text files and uses fast fourier transform as a basis for detection of abnormal events. The software can also be used to monitor injury-induced changes in spectral entropy if required. We hope that the software will be useful for other investigators in the field of traumatic brain injury and will stimulate future advances of quantitative analysis of brain electrical activity after neurological injury or disease

Pituicytoma - A case report

Pituicytomas are very rare but benign tumors that arise from the neurohypophysis and only around 60 cases have been described in the literature so far. Misdiagnosis as pituitary adenoma is common due to the lack of distinguishing clinical or radiological features

Dendritic cell vaccine for recurrent high-grade gliomas in pediatric and adult subjects: clinical trial protocol

Although there have been significant advances in understanding the basic pathogenesis of glioblastoma multiforme, the median survival of patients has changed little in the past 25 years. Recent studies have suggested that immune modulation through dendritic cell (DC) vaccines may stimulate the immune system against tumor antigens and potentially increase survival. To determine whether the use of adjuvant vaccination with autologous DCs (matured in situ after being loaded with tumor cell lysate derived from autologous refractory gliomas) is safe, feasible, and beneficial for adult and pediatric patients with recurrent high-grade gliomas. The study design is a single-center, nonrandomized, open phase I clinical trial. A total of 20 patients with malignant gliomas will be enrolled preoperatively over 2 years. Patients will be given adjuvant vaccination with autologous DCs loaded with tumor lysate after maximal safe surgical resection. Using topical imiquimod before vaccination, it is anticipated that the immune response in vaccinated patients and potentially Overall survival will be greater than that demonstrated in the literature. We anticipate that there will be minimal side effects (minor dermatitis) associated with this treatment. In the current trial, we assess immune response, safety, and survival using a novel vaccine protocol developed in Belgium that seems to markedly increase survival of certain subjects. Nevertheless, larger randomized clinical studies need to be performed to evaluate fully the efficacy of this therapy for both recurrent and newly diagnosed glioblastoma

Recognizing and Correcting Failures in Glioblastoma Treatment

While current treatment remains universal for glioblastoma, recent evidence has demonstrated marked heterogeneity in their molecular profiles. Due to the near universal rate of recurrence, attention has focused on individualized treatment and subgroup population differences that may influence the efficacy of adjuvant therapy. Recent studies have implicated chemo-radioresistant GBM stem cells (GSCs) in the propagation of heterogeneous tumor profiles. As a result, there has been a shift to classify and target GSCs in order to increase survival and delay relapse. The overall objective of our editorial is to highlight current failures in GBM treatment and to propose novel personalized methods to correct our shortcomings in GBM treatment

Increased Expression of Epileptiform Spike/Wave Discharges One Year after Mild, Moderate, or Severe Fluid Percussion Brain Injury in Rats

In this study, we describe increased expression of cortical epileptiform spike/wave discharges (SWD) in rats one year after mild, moderate, or severe fluid percussion traumatic brain injury (fpTBI). Groups of rats consisted of animals that had received mild, moderate, or severe fpTBI, or sham operation one year earlier than electrocorticography (ECoG) recordings. In addition, we included a group of age-matched naïve animals. ECoG was recorded from awake animals using epidural electrodes implanted on the injured hemisphere (right), sham-operated hemisphere (right), or right hemisphere in naïve animals. The SWDs were detected automatically using Fast Fourier Transformation and a novel algorithm for comparing changes in spectral power to control (nonepileptical) ECoG. The fpTBI resulted in increased expression of SWDs one year after injury compared with sham-operated or naïve animals. The number of SWD-containing ECoG epochs recorded in a 1 h recording session were: naïve 12.9 ± 10.3, n = 8, sham 23.6 ± 8.2, n = 10, mild TBI 78.9 ± 23.9, n = 10, moderate TBI 61.3 ± 32.5, n = 12, severe TBI 72.5 ± 28.3, n = 11 (mean ± standard error of the mean). Increased expression of SWDs was not related to injury severity. SWDs were observed to a lesser extent even in sham-operated and naïve animals. The data indicate that fpTBI exacerbates expression of SWDs in the rat and that this increase may be observed at least one year after injury. As others have discussed, the spontaneous occurrence of these epileptiform events in rodents limits the use of this model for investigations of acquired epilepsy, at least of the nonconvulsive type, after TBI