Neurology

Seizures

Latest AI and machine learning research in seizures for healthcare professionals.

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Improving Diagnostic Accuracy of Routine EEG for Epilepsy using Deep Learning

The diagnostic yield of routine EEG in epilepsy is limited by low sensitivity and the potential for ...

Predicting Seizures Episodes and High-Risk Events in Autism Through Adverse Behavioral Patterns

To determine whether historical behavior data can predict the occurrence of high-risk behavioral or ...

VR-based Gamma Sensory Stimulation: A feasibility study

Alzheimer’s disease (AD) presents a critical global health challenge, with current therapies offerin...

Miniaturization of Epileptic Abnormal Electrocorticogram Detector Using 3D Convolutional Neural Network

Epilepsy is a neurological disorder characterized by sudden and recurrent seizures caused by abnorma...

Deep Learning-Driven EEG Analysis for Personalized Deep Brain Stimulation Programming in Parkinson’s Disease

Deep Brain Stimulation (DBS) is an invasive procedure used to alleviate motor symptoms in Parkinson’...

Transcriptomic analyses of human brains with Alzheimer’s disease identified dysregulated epilepsy-causing genes

Alzheimer’s Disease (AD) patients at multiple stages of disease progression have a high prevalence o...

Language Model Applications for Early Diagnosis of Childhood Epilepsy

Accurate and timely epilepsy diagnosis is crucial to reduce delayed or unnecessary treatment. While ...

The Clinical Value of ChatGPT for Epilepsy Presurgical Decision Making: Systematic Evaluation on Seizure Semiology Interpretation

For patients with drug-resistant focal epilepsy (DRE), surgical resection of the epileptogenic zone ...

Automatic classification of eeg signals, based on image interpretation of spatio-temporal information

Brain-Computer Interface (BCI) applications provide a direct way to map human brain activity onto th...

Liquid-Dendrite Spiking Neural Network for Edge Devices: A 130 K-Parameter, 535 KB Model for Time-Domain Epileptic Seizure Detection

Epilepsy is a significant global health issue, requiring dependable diagnostic tools like scalp ence...

Predicting Antiseizure Medication Outcomes in Early Diagnosed Epilepsy: A Multimodal Framework Using EEG, MRI, and Clinical Data

Accurate prediction of antiseizure medication (ASM) outcomes is crucial for optimising epilepsy trea...

Automated Detection of Faciobrachial Dystonic Seizures Related Events in LGI1 Autoimmune Encephalitis Patients with Wearables

To evaluate the potential of wrist-worn wearable devices to detect and quantify Faciobrachial Dyston...

FFT Power Relationships Applied to EEG Signal Analysis: A Meeting between Visual Analysis of EEG and Its Quantification

This study presents a novel computational approach for analyzing electroencephalogram (EEG) signals,...

Pose AI prediction of neurological status in the Neuroscience Intensive Care Unit

The neurological exam is pivotal in assessing patients with neurological conditions but has severe l...

OpenSpindleNet: An Open-Source Deep Learning Network for Reliable Sleep Spindle Detection

Sleep spindles, an oscillatory brain activity occurring during light non-rapid eye movement (NREM) s...

Continuous Reaching and Grasping with a BCI Controlled Robotic Arm in Healthy and Stroke-Affected Individuals

Recent advancements in signal processing techniques have enabled non-invasive Brain-Computer Interfa...

Independent Evaluation of Deep Learning Models for Detecting Focal Cortical Dysplasia

The objective of this study is to perform an independent assessment of the diagnostic utility of thr...

The impact of EEG preprocessing parameters on ultra-low-power seizure detection

Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. A major cha...

PyHFO 2.0: An Open-Source Platform for Deep Learning–Based Clinical High-Frequency Oscillations Analysis

Accurate detection and classification of high-frequency oscillations (HFOs) in electroencephalograph...

Machine Learning-Enabled EEG Biomarkers Predict Divergent Antidepressant and Placebo Response in a Clinical Trial of Major Depression

Major depressive disorder (MDD) is a heterogeneous neuropsychiatric disorder with highly variable an...

Automated detection of bottom-of-sulcus dysplasia on MRI-PET in patients with drug-resistant focal epilepsy

Bottom-of-sulcus dysplasia (BOSD) is a diagnostically challenging subtype of focal cortical dysplasi...

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