Epilepsy and Seizure News
Neurofeedback News
What Is Neurofeedback Therapy? -
Neurofeedback is a noninvasive form of therapy that trains the brain to improve various neurological issues, including chronic pain, ADHD, anxiety, depression and PTSD. Using EEG to monitor real-time ...
Can Neurofeedback Effectively Treat ADHD? -
Neurofeedback training is an alternative therapy that uses real-time EEG data to help patients train their brains to improve focus, impulse control, and executive function. Since the 1970s, patients ...
Elite athletes enhance their performance with 'neurofeedback'—and you can get a device for $99 -
When you think of the training tools that professional athletes have at their disposal, high-tech sports equipment and state-of-the-art athletic facilities come to mind. But training for peak ...
Rewiring Your Brain: Neurofeedback Goes Mainstream -
See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. Will Strahl walked up to my door with a massive black briefcase in his ...
There is something I want people struggling with ADHD to know -
Today, please let me talk a little seriously about my work.I usually work in neurofeedback, which is a field that approaches how the brain functions.In doing so, there is something I have felt for a ...
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PubMed
Magnetic resonance imaging-guided laser interstitial thermal therapy in mesial temporal lobe epilepsy: surgical technique and treatment outcomes -
INTRODUCTION: Magnetic resonance imaging-guided laser interstitial thermal therapy (MRIgLITT) has emerged as a minimally invasive alternative to open surgical resection in the management of drug-resistant mesial temporal lobe epilepsy (MTLE). This review provides a focused overview of selective laser amygdalohippocampotomy (SLAH), with particular emphasis on its clinical applicability. The arti...
Impairment of ictal consciousness and psychosis in drug-resistant focal epilepsy: A retrospective clinical cohort study -
OBJECTIVE: Psychoses of epilepsy (POE) affect up to 13% of patients with focal epilepsy. Whereas interictal risk factors are well documented, ictal correlates of POE remain poorly characterized. We hypothesized that an impairment of ictal consciousness on the Consciousness Seizure Scale (CSS), would be associated with POE. We assessed the association between ictal clinical features and POE comp...
Human induced pluripotent stem cell-derived cortical neurons from monozygotic twins with the Gαo1 K278del mutation reveal disease mechanisms relevant to GNAO1-related encephalopathy -
OBJECTIVE: Rare de novo variants in GNAO1 cause a severe neurodevelopmental disorder characterized by a heterogenous display of early onset epilepsy, movement abnormalities, and global developmental delay. More than 100 pathogenic variants in GNAO1 have been identified and categorized into four groups according to their protein features. Most pathogenic variants affect both GNAO1 isoforms, wher...
Implementation of the seizure code in a tertiary hospital: Effects on emergency care times and clinical outcomes in severe seizures -
OBJECTIVE: To assess the impact of implementing the Seizure Code (SC), a structured multidisciplinary emergency protocol for severe seizures, on care times and clinical outcomes at a tertiary hospital.
Treatment patterns, strategies, and preferences after first anti-seizure medication failure in focal epilepsy: Findings from the SANAD and SANAD II trial cohorts and a survey of UK epilepsy special... -
OBJECTIVE: To describe treatment decisions after first anti-seizure medication (ASM) failure in focal epilepsy and describe how they have changed across two trial eras, and whether observed prescribing matched clinicians stated preferences.
Integrating uncertainty and practice variability for epilepsy prognostication after intracranial EEG: A meta-analysis -
OBJECTIVE: Intracranial electroencephalography (iEEG) practices and diagnostic testing vary among institutions, limiting standardization and optimization of surgical outcomes. This study estimates resection rates and surgical outcome effect sizes after iEEG and develops individual patient-level data (IPD) models using the missing-indicator method to approximate real-world clinical uncertainties...
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