Distinguishing Parkinsonian Rest Tremor from Voluntary Hand Movements through Subthalamic and Cortical Activity

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Biophysics,
Parkinson’s disease   rest tremor   voluntary hand movements   brain activity   subthalamic nucleus   machine learning  

Parkinson’s disease (PD) is a common neurodegenerative disorder characterized mainly by resting tremor, bradykinesia, and rigidity. Deep Brain Stimulation (DBS) has been widely used to treat the motor symptoms of PD (Krauss et al., 2021). However, DBS treatment also has significant side effects, most of which are caused by the extension of stimulat...

Early Prediction of Drug-Resistant Epilepsy Using Clinical and EEG Features Based on Convolutional Neural Network

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
Drug-resistant epilepsy   Antiseizure medication   Electroencephalogram   Convolutional neural network   Machine learning  

Research Background and Purpose Epilepsy is a spontaneous and severe neurological disorder characterized by recurrent seizures, affecting approximately 50 million people worldwide [1]. Despite recent advances in anti-seizure medications (ASMs), drug-resistant epilepsy (DRE) still affects 20% to 30% of epilepsy patients [1-3]. DRE patients face sign...

Single-Subject Cortical Morphological Brain Networks: Phenotypic Associations and Neurobiological Substrates

Medicine, Basic Medical Sciences, Neurology, Medical Imaging, Life Sciences, Cell Biology, Biochemistry, Immunology, Genetics, Biophysics,
morphological brain network   structural magnetic resonance imaging   cortical thickness   sex   neurotransmitter  

This paper is a study on the phenotypic associations and neurobiological bases of single-subject morphological brain networks. Combining multimodal and multiscale data, this study reveals the differences in morphological brain networks between genders, their potential as individual-specific markers, and their relationships with gene expression, lay...

Networked Information Interactions in Schizophrenia Magnetoencephalograms based on Permutation Transfer Entropy

Medicine, Psychiatry, Neurology, Medical Imaging, Life Sciences, Biophysics,
permutation transfer entropy   effective network analysis   schizophrenia   MEG   nonequilibrium   complexity  

Study of Network Information Interactions in Schizophrenia Magnetoencephalograms Based on Permutation Transfer Entropy Academic Background Schizophrenia (SCZ) is a mental disorder characterized by persistent delusions and hallucinations, disorganized thinking, and inconsistent behavior, often leading to significant impairment in the perception of r...

Functional Brain Network Based on Improved Ensemble Empirical Mode Decomposition of EEG for Anxiety Analysis and Detection

Information Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Medical Imaging, Life Sciences, Biophysics,
Functional Brain Network   EEG   Anxiety   Improved Ensemble Empirical Mode Decomposition   Support Vector Machine   Phase Lag Index  

Brain Functional Network for Anxiety Analysis and Detection Based on Improved Ensemble Empirical Mode Decomposition Academic Background and Research Objectives With the increasing stress of modern life, anxiety, a common neurological disorder, has become an urgent issue in global public health. Anxiety not only manifests as mental disorders but als...