Optimizing Electrode Configurations for Wearable EEG Seizure Detection Using Machine Learning.

Epilepsy, a prevalent neurological disorder, profoundly affects patients' quality of life due to the unpredictable nature of seizures. The development of a reliable and user-friendly wearable EEG system capable of detecting and predicting seizures has the potential to revolutionize epilepsy care. However, optimizing electrode configurations for such systems, which is crucial for balancing accuracy and practicality, remains to be explored. This study addresses this gap by developing a systematic approach to optimize electrode configurations for a seizure detection machine-learning algorithm. Our approach was applied to an extensive database of prolonged annotated EEG recordings from 158 epilepsy patients. Multiple electrode configurations ranging from one to eighteen were assessed to determine the optimal number of electrodes. Results indicated that the performance was initially maintained as the number of electrodes decreased, but a drop in performance was found to have occurred at around eight electrodes. Subsequently, a comprehensive analysis of all eight-electrode configurations was conducted using a computationally intensive workflow to identify the optimal configurations. This approach can inform the mechanical design process of an EEG system that balances seizure detection accuracy with the ease of use and portability. Additionally, this framework holds potential for optimizing hardware in other machine learning applications. The study presents a significant step towards the development of an efficient wearable EEG system for seizure detection.

[DIAGNOSIS AND TREATMENT OF A GIRL SUFFERING FROM DRUG RESISTANT EPILEPSY WITH AN INNOVATIVE MINIMALLY INVASIVE APPROACH].

INTRODUCTION: About one percent (over 81,000 patients) of the Israeli population suffer from epilepsy. The main treatment for this condition is medication, but about a third of the patients suffer from drug-resistant epilepsy (DRE). Each year about 5,000 new patients are diagnosed with epilepsy, of whom 3,000 are children. For these patients, an evaluation in designated centers is required in order to diagnose possible foci and propose neurosurgical treatment alternatives. BACKGROUND: A model for diagnosis and treatment of the epileptic network in a minimally invasive approach is presented through the description of a case study. Phase I: includes diagnosis of the semiology, neuropsychological assessment, video EEG recording and performing a PET-MRI-FMRI-EEG synchronized examination. Phase II: involves stereo-electroencephalography (SEEG) minimally invasive diagnosis to target the epileptic area and accurately map adjacent functional areas and assessment of cortical redundancy. Phase III: includes radiofrequency ablation of the foci without any further surgery. This procedure is performed under clinical monitoring (the patient is awake during treatment) and continuous EEG monitoring. CONCLUSIONS: This case study demonstrates the multi-dimensional model performed by a multidisciplinary team, combining innovative technologies. This model is essential for the precision of the diagnosis and treatment methods of focal epilepsy and allows preservation of function based, among other factors, on the identification of cortical redundancy. DISCUSSION: The preoperative assessment identified focal epilepsy adjacent to the motor area dominating the right hand. A combined PET-FMRI-MRI-EEG examination enabled detecting redundancy of motor functions beyond the epileptic focus. Based on this information, a targeted implantation of depth electrodes (SEEG) was performed, the epileptic foci were identified and targeted ablations were performed during clinical monitoring and continuous EEG. This resulted in the cessation of seizures in parallel with the disappearance of the pathological signal in the EEG, all while preserving the patient's hand function.

Influence of electroencephalography neurofeedback training on episodic memory: a randomized, sham-controlled, double-blind study.

The relationships between memory processes and oscillatory electroencephalography (EEG) are well established. Neurofeedback training (NFT) may cause participants to better regulate their brain EEG oscillations. The present study is a double-blind sham-controlled design investigating the effect of NFT on memory. NFT included up-training upper alpha (UA) band, up-training sensory-motor rhythm (SMR) band and sham protocol. Thirty healthy adult volunteers were randomly divided into three treatment groups. NFT sessions (30 min each) took place twice weekly for a total of 10 sessions while memory testing took place pre- and post-training. The results indicate dissociation between SMR and UA NFT and different memory processes. While the SMR protocol resulted in improving automatic, item-specific and familiarity-based processes in memory, the UA protocol resulted in improved strategic and controlled recollection. The implications of the results are discussed.

Transient Adverse Side Effects During Neurofeedback Training: A Randomized, Sham-Controlled, Double Blind Study.

The benefits of clinical neurofeedback training are well known, however, its adverse side-effects are less studied. This research focuses on the transient adverse side effects of neurofeedback training via a double-blind, sham/controlled methodology. Thirty healthy undergraduate students volunteers were randomly divided into three treatment groups: increasing a modified Sensory Motor Rhythm, increasing Upper Alpha, and Sham/control group who receive a random reward. The training sessions were administered for a total of ten sessions. Questionnaires of transient adverse side effects were completed by all volunteers before each session. The results suggest that similar to most medical treatments, neurofeedback can cause transient adverse side effects. Moreover, most participants reported experiencing some side effects. The side effects can be divided into non-specific side effect, associated with the neurofeedback training in general and specific ones associated with the particular protocol. Sensory Motor Rhythm protocol seems to be the most sensitive to side effects.

Multi-metric predictors of radiofrequency-treated trigeminal neuralgias.

Evaluation of neurovascular compression-related trigeminal neuralgia (NVC-TN) and its resolution through microvascular decompression are demonstrable by MRI and intraoperatively [Leal et al. (Atrophic changes in the trigeminal nerves of patients with trigeminal neuralgia due to neurovascular compression and their association with the severity of compression and clinical outcomes: Clinical article. J Neurosurg. 2014;120(6):1484-1495)]. Non-NVC-TNs treated by radiofrequency (RF) lack such detectable features. Multimodal integration of pre-surgical diffusion tensor imaging (DTI) and volumetry (VOL) with intraoperative neurophysiology (ION) could improve understanding and performance of RF among non-NVC-TN. We hypothesized that DTI disturbances' localization (central relay versus peripherally) rather than their values bares the most significant predictive value upon outcome and that ION could quantitatively both localize and assist RF of affected branches. The first pre-surgical step evaluated the differences between affected and non-affected sides (by DTI and VOL). Four TN's segments were studied, from peripheral to central relay: Meckel's cave-trigeminal ganglion (MC-TGN), cisternal portion, root entry zone (REZ) and spinal tract [Lin et al. (Flatness of the Meckel cave may cause primary trigeminal neuralgia: A radiomics-based study. J Headache Pain. 2021;22(1):104)]. In the second intraoperative step, we used both ION and patient's testimonies to confirm the localization of the affected branch, evolving hypoesthesia, pain reduction and monitoring of adverse effects [Sindou (Neurophysiological navigation in the trigeminal nerve: Use of masticatory responses and facial motor responses evoked by electrical stimulation of the trigeminal rootlets for RF-thermorhizotomy guidance. Stereotact Funct Neurosurg. 1999;73(1-4):117-121); Sindou and Tatli (Traitement de la névralgie trigéminale par thermorhizotomie. Neurochirurgie. 2009;55(2):203-210)]. Last and postoperatively, each data set's features and correlation with short-term (3 months) and long-term outcomes (23.5 ± 6.7 months) were independently analysed and blind to each other. Finally, we designed a multimodal predictive model. Sixteen non-NVC-TN patients (mean 53.6 ± SD years old) with mean duration of 6.56 ± 4.1 years (75% right TN; 43.8% V3) were included. After 23.5 ± 6.7 months, 14/16 were good responders. Age, gender, TN duration and side/branch did not correlate with outcomes. Affected sides showed significant DTI disturbances in both peripheral (MC-TGNs) and central-relay (REZ) segments. However, worse outcome correlated only with REZ-located DTI disturbances (P = 0.04; r = 0.53). Concerning volumetry, affected MC-TGNs were abnormally flatter: lower volumes and surface area correlated with worse outcomes (both P = 0.033; r = 0.55 and 0.77, respectively). Intraoperatively, ION could not differ the affected from non-affected branch. However, the magnitude of ION's amplitude reduction (ION-Δ-Amplitude) had the most significant correlation with outcomes (r = 0.86; P < 0.00006). It was higher among responders [68.4% (50-82%)], and a <40% reduction characterized non-responders [36.7% (0-40%)]. Multiple regression showed that ION-Δ-Amplitude, centrally located only REZ DTI integrity and MC-TGN flatness explain 82.2% of the variance of post-RF visual analogue score. Integration of pre-surgical DTI-VOL with ION-Δ-Amplitude suggests a multi-metric predictive model of post-RF outcome in non-NVC-TN. In multiple regression, central-relay REZ DTI disturbances and insufficiently reduced excitability (<40%) predicted worse outcome. Quantitative fine-tuned ION tools should be sought for peri-operative evaluation of the affected branches.

Stereo electroencephalography-guided radiofrequency ablation in focal epilepsia partialis continua: illustrative case.

BACKGROUND: Epilepsia partialis continua (EPC) is a variant of focal motor status epilepticus that can occur as a single or repetitive episode with progressive or nonprogressive characteristics. OBSERVATIONS: The authors describe the feasibility of identifying focal EPC in a 33-year-old woman using video electroencephalography (VEEG), electroencephalography source localization, [18F]fluorodeoxyglucose positron emission tomography, magnetic resonance imaging, and psychiatric and neuropsychological assessments and of treating it with stereo electroencephalography-guided radiofrequency (SEEG-RF) ablation. EPC comprised recurrent myoclonus of the right thigh and iliopsoas with a progressive pain syndrome after left anterior-temporo-mesial resection. Switching between VEEG under regular and epidural block helped to define myoclonus as the presenting ictal symptom with a suspected seizure onset zone in the left parietal paramedian lobule. After the epileptic network was identified, SEEG-RF ablation abolished all seizures. No correlation was found between pain and VEEG/SEEG abnormalities. Rehabilitation began 3 days after the SEEG-RF ablation. By 1 year of follow-up, the patient had no EPC and could walk with assistance in rehabilitation; however, due to the abrupt abolishment of EPC and underlying psychological factors, the patient perceived her pain as overriding, which prevented her from walking. LESSONS: The application of SEEG-RF ablation is an efficient therapeutic option for focal EPC with special concerns regarding concurrent nonepileptic pain. https://thejns.org/doi/10.3171/CASE23611.

When two become one: the role of oxytocin in interpersonal coordination and cooperation.

Cooperation involves intentional coordinated acts performed to achieve potentially positive outcomes. Here we present a novel explanatory model of cooperation, which focuses on the role of the oxytocinergic system in promoting interpersonal coordination and synchrony. Cooperation was assessed using a novel computerized drawing task that may be performed individually or cooperatively by two participants who coordinate their actions. Using a within-subject crossover design, 42 participants performed the task alone and with a partner following the administration of placebo and oxytocin 1 week apart. The data indicate that following placebo administration, participants performed better alone than in pairs. Yet, the administration of oxytocin improved paired performance up to the level of individual performance. This effect depended on the personality traits of cooperativeness or competitiveness. It is concluded that oxytocin may play a key role in enhancing social synchrony and coordination of behaviors required for cooperation.

FIRDA, refractory epilepsy, and SEEG-guided RF: A case report.

OBJECTIVES: We will demonstrate that FIRDA (frontal intermittent rhythmic delta activity)-otherwise related to systemic disorders and encephalopathy-has a role as an epileptic biomarker of deep-seated midline SOZ. Its abolishment following SEEG-guided radiofrequency of such SOZ correlates with clinical improvement suggesting its role as a noninvasive biomarker of otherwise inaccessible SOZs. METHODS: We report the case of AK who was admitted with "psychiatric and gastrointestinal complaints." AK's complaints were further associated with FIRDA during VEEG. His previous refractoriness to AEDs, the clinico-electroencephalographic correlation, MRI showing bilateral hippocampal atrophy (more to the left) and severe memory deficits, prompted us to suggest a left temporo-mesial SOZ, for which SEEG was done. Dual SEEG and scalp electrodes were used primarily for diagnostic purposes but taking into account an option for a therapeutic action by RF ablation. RESULTS: The dual array demonstrated a clear association between left hippocampal high voltage spikes and HFOs on SEEG recordings with FIRDA on concomitant scalp EEG parallel to behavioral changes, as suspected in our preliminary hypothesis. A further RF ablation eliminated the epileptiform activity (Spikes, HFOs, and FIRDA) followed by clinical improvement. SIGNIFICANCE: This is the first report showing the clinical significance of FIRDA associated with behavioral changes as a marker for latent refractory mesial epilepsy. SEEG exploration has the potential to uncover deep sources, which are manifested as FIRDA on scalp EEG. These abnormalities and clinical symptoms can be eliminated by RF ablation.

SEEG-RF for revealing and treating Geschwind syndrome's epileptic network: A case study.

Stereotypic neural networks are repeatedly activated in drug-refractory epilepsies (DRE), reinforcing the expression of certain psycho-affective traits. Geschwind syndrome (GS) can serve as a model for such phenomena among patients with temporal lobe DRE. We describe stereo-electroencephalogram (SEEG) exploration in a 34-year-old male with DRE and GS, and his treatment by SEEG-radiofrequency (SEEG-RF) ablation. We hypothesized that this approach could reveal the underlying epileptic network and map eloquent faculties adjacent to SEEG-RF targets, which can be further used to disintegrate the epileptic network. The patient underwent a multi-modal pre-surgical evaluation consisting of video EEG (VEEG), EEG source localization, 18-fluorodexyglucose-PET/MRI, neuropsychological and psychiatric assessments. Pre-surgical multi-modal analyses suggested a T4-centered seizure onset zone. SEEG further localized the SOZ within the right amygdalo-hippocampal region and temporal neocortex, with the right parieto-temporal region as the propagation zone. SEEG-RF ablation under awake conditions and continuous EEG monitoring confirmed the abolishment of epileptic activity. Follow-up at 20 months showed seizure suppression (Engel 1A/ILEA 1) and a significantly improved and stable psycho-affective state. To the best of our knowledge this is the first description of the intracranial biomarkers of GS and its further treatment through SEEG-RF ablation within the scope of DRE.

Are resting state spectral power measures related to executive functions in healthy young adults?

Resting-state electroencephalogram (rsEEG) has been found to be associated with psychopathology, intelligence, problem solving, academic performance and is sometimes used as a supportive physiological indicator of enhancement in cognitive training interventions (e.g. neurofeedback, working memory training). In the current study, we measured rsEEG spectral power measures (relative power, between-band ratios and asymmetry) in one hundred sixty five young adults who were also tested on a battery of executive function (EF). We specifically focused on upper Alpha, Theta and Beta frequency bands given their putative role in EF. Our indices enabled finding correlations since they had decent-to-excellent internal and retest reliability and very little range restriction relative to a nation-wide representative large sample. Nonetheless, Bayesian statistical inference indicated support for the null hypothesis concerning lack of monotonic correlation between EF and rsEEG spectral power measures. Therefore, we conclude that, contrary to the quite common interpretation, these rsEEG spectral power measures do not indicate individual differences in the measured EF abilities.

Mechanisms of cognitive control in cadet pilots.

BACKGROUND: Optimizing performance of aviators while minimizing risks arising from the exposure to extreme environment, both external and internal, is one of the principles guiding the Israeli Air Force. Young cadets in particular are considered an "at risk" population due to the fact that they have no experience in flight in the first stages of training and are therefore subjects for investigation. METHODS: In this study, we investigated the cognitive performance of young cadet pilots across different hours of the day. 39 cadets were randomly divided into 3 groups: morning, late afternoon, and late evening groups and then tested on a cognitive battery that contained both simple performance measures but also complex measures like dual-tasking and mental rotation test. RESULTS: The analysis indicated a significant effect of 'time of day' on the participants' accuracy [F (2, 32) = 3.4, p < 0.05]. In a post hoc pairwise t-tests, we found a near significant (p = 0.52) increase in participants' accuracy and a significant increase [F (2, 32) = 4.5, p < 0.05] in participants' reaction time in the late evening group as compared to the morning group. We also found a differential effect of dual tasking on accuracy in the different daytimes [F (2, 33) = 5.6, p < 0.01]. In a post hoc analysis, we found that accuracy in the 1-back task deteriorates from single task condition to the dual task condition only in the morning group (p < 0.05), but not in the late evening or late-afternoon group. CONCLUSIONS: This 'trade-off' behavior, slowing down in order to perform better, in the late evening group may be a result of a voluntary control mechanism (top-down processes) activated at night, in this group. The combination of feeling fatigue, along with the understanding that complex tasks are more resource consuming, caused the cadets to check and double-check before answering, whereas in the morning group, they felt alert and vital, and acted more reactively, ended in an impulsive manner that caused to inaccurate performance.

Evaluating low-resolution tomography neurofeedback by single dissociation of mental grotation task from stop signal task performance.

Electroencephalography source localization neurofeedback, i.e Standardized low-resolution tomography (sLORETA) neurofeedback are non-invasive method for altering region specific brain activity. This is an improvement over traditional neurofeedback which were based on recordings from a single scalp-electrode. We proposed three criteria clusters as a methodological framework to evaluate electroencephalography source localization neurofeedback and present relevant data. Our objective was to evaluate standardized low resolution EEG tomography neurofeedback by examining how training one neuroanatomical area effects the mental rotation task (which is related to the activity of bilateral Parietal regions) and the stop-signal test (which is related to frontal structures). Twelve healthy participants were enrolled in a single session sLORETA neurofeedback protocol. The participants completed both the mental rotation task and the stop-signal test before and after one sLORETA neurofeedback session. During sLORETA neurofeedback sessions participants watched one sitcom episode while the picture quality co-varied with activity in the superior parietal lobule. Participants were rewarded for increasing activity in this region only. Results showed a significant reaction time decrease and an increase in accuracy after sLORETA neurofeedback on the mental rotation task but not after stop signal task. Together with behavioral changes a significant activity increase was found at the left parietal brain after sLORETA neurofeedback compared with baseline. We concluded that activity increase in the parietal region had a specific effect on the mental rotation task. Tasks unrelated to parietal brain activity were unaffected. Therefore, sLORETA neurofeedback could be used as a research, or clinical tool for cognitive disorders.