Academic Articles & Research Papers

A Case Report of Gabapentin-induced Psychotic Disorder

Gabapentin was first approved for treatment of epilepsy by FDA, but later it received more attention due to its effects on pain relief, especially neuropathic pain and post-herpetic neuralgia, and in treatment of anxiety and insomnia. The m...

The burden and determinants of cognitive impairment among individuals with chronic diseases in Ethiopia: A systematic review and meta-analysis

Introduction: Cognitive impairment is a medical condition caused by neurodegeneration, marked by a gradual decline in neurological, motor, psychological, and cognitive domain functions, as well as daily activities. It primarily affects indi...

De novo SCN1A missense variant in a patient with Parkinson’s disease

BackgroundVariants in a gene encoding sodium voltage-gated channel alpha subunit 1 (SCN1A) are known to cause a broad clinical spectrum of epilepsy and associated features, including Dravet syndrome (MIM 607208), non-Dravet developmental an...

Cracking rare disorders: a new minimally invasive RNA-seq protocol

Abstract RNA sequencing (RNA-seq) has become key to complementing exome and genome sequencing for variant interpretation. We present a minimally invasive RNA-seq protocol using short-term cultured peripheral blood mononuclear cells (PBMCs) ...

Correction: Aging, the microbiota–gut–brain axis, and late-life epilepsy: a hypothesis-driven review

Identification of brain regions predicting epileptogenesis by serial [18F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy

Excessive activation of inflammatory signaling pathways seems to be a hallmark of epileptogenesis. Positron emission tomography (PET) allows in vivo detection of brain inflammation with spatial information and opportunities for longitudinal...

A neural-network-based detection of epilepsy

Diagnosis of epilepsy is primarily based on scalp-recorded electroencephalograms (EEG). Unfortunately the long-term recordings obtained from 'ambulatory recording systems' contain EEG data of up to one week duration, which has introduced ne...

Case Report: Tocilizumab in pediatric febrile infection-related epilepsy syndrome

Background and purposeWe describe the clinical characteristics and the therapeutic effect of tocilizumab with Febrile Infection-Related Epilepsy Syndrome (FIRES). FIRES is characterized by super refractory status epilepticus (SRSE) in previ...

The SIK1-NR4A2 axis: a core driver of epilepsy identified by integrated machine learning and experimental validation.

A role for neural modeling in the study of brain disorders: Comment on From intracerebral EEG signals to brain connectivity: identification of epileptogenic networks in partial epilepsy by F. Wendling et al.

Shared clinical and neural features of PTSD, dissociative disorders, and limbic epilepsy: a narrative review.

Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?

In drug-resistant epilepsy, a visual inspection of intracranial electroencephalography (iEEG) signals is often needed to localize the epileptogenic zone (EZ) and guide neurosurgery. The visual assessment of iEEG time-frequency (TF) images i...

Acceptance of Machine Learning for Medication Selection in Epilepsy to Inform Clinical Trial Design: Co-Design Survey Study

Abstract BackgroundAntiseizure medications (ASMs) are the mainstay of epilepsy treatment; however, there is currently no reliable way to predict which medication will be most effective for an individual patient. Machine learning...

From multi-omics screening to functional validation: The SOD1-SIRT5 Axis as a potential mediator of ammonia-related neuronal injury and NAD⁺-based neuroprotection in epilepsy.

Machine learning applications in epilepsy

Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation of data rather than through explicit instructions. Alongside widespread use in image recogn...

A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm

A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a...