GCTNet: A Graph Convolutional Transformer Network for Major Depressive Disorder Detection Based on EEG Signals

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
Major Depressive Disorder   EEG   Deep Learning   Phase Locking Value   Contrastive Learning  

GCTNet: Graph Convolution Transformer Network for Detecting Major Depressive Disorder Based on EEG Signals Research Background Major Depressive Disorder (MDD) is a prevalent mental illness characterized by significant and persistent low mood, affecting over 350 million people worldwide. MDD is one of the leading causes of suicide, resulting in appr...

Influence of Peripheral Axon Geometry and Local Anatomy on Magnetostimulation Chronaxie

Medicine, Neurology, Medical Imaging, Life Sciences, Bioengineering, Biophysics,
PNS   peripheral nerve stimulation   magnetostimulation   chronaxie   MRI  

Influence of Peripheral Nerve Geometry and Local Anatomy on Magnetic Stimulation Time Constant Background Introduction Rapidly switching magnetic resonance imaging (MRI) gradient fields produce sufficiently strong electric fields within the human body, leading to peripheral nerve stimulation (PNS), which limits improvements in imaging speed and res...

Single-Session Cross-Frequency Bifocal tACS Modulates Visual Motion Network Activity in Young Healthy Population and Stroke Patients

Medicine, Neurology, Medical Imaging, Life Sciences, Bioengineering, Biophysics,
Cross-frequency interactions   Phase-amplitude coupling   Bifocal transcranial alternating current stimulation   Motion direction discrimination   Visual stroke  

Report on Single-Session Cross-Frequency Dual-Focus tACS Modulation of Visuomotor Network Activity in Healthy Young Adults and Stroke Patients Academic Background and Research Significance In neuroscience research, neural oscillations play a crucial role in regulating communication within and between brain regions. Long-distance phase synchronizati...

A User-Friendly Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Recorded by OPM-MEG

A User-Friendly Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Recorded by OPM-MEG

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Cell Biology, Bioengineering, Biophysics,
brain-computer interface   high frequency   steady-state visual evoked field   magnetoencephalography   optically pumped magnetometer  

Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Background Brain-Computer Interface (BCI) technology allows users to control machines by decoding specific brain activity signals. While invasive BCIs excel in capturing high-quality brain signals, their application is mainly limited to clinical settings. Non-...

The Effect of TDCS on Inhibitory Control and its Transfer Effect on Sustained Attention in Children with Autism Spectrum Disorder: An fNIRS Study

Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
Autism   Inhibitory Control   TDCS   Sustained Attention   fNIRS   Behavioral Intervention  

The Effect of TDCS on Inhibitory Control and Its Transfer Effect on Sustained Attention in Children with Autism Spectrum Disorder: An fNIRS Study Background Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder characterized by social communication impairments, narrow interests, and repetitive behaviors. Many studies have found th...