Functional Connectivity Analysis of Children with Autism Under Emotional Clips

Functional Connectivity Analysis of Children with Autism under Emotional Stimulation Background Introduction Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, primarily characterized by deficits in social interaction and communication abilities, as well as repetitive behaviors and restricted interests. One of the core feature...

Amyloid-Associated Hyperconnectivity Drives Tau Spread Across Connected Brain Regions in Alzheimer’s Disease

Amyloid-Associated Hyperconnectivity Drives Tau Spread in Alzheimer’s Disease Academic Background Alzheimer’s Disease (AD) is a common neurodegenerative disorder characterized by the accumulation of amyloid-beta (Aβ) plaques and the abnormal aggregation and spread of tau protein in the brain. The traditional “amyloid cascade hypothesis” posits that...

Effects of Tactile Feedback in Post-Stroke Hand Rehabilitation on Functional Connectivity and Cortical Activation

Effects of Tactile Feedback in Post-Stroke Hand Rehabilitation on Functional Connectivity and Cortical Activation

A Neurofunctional Study of Tactile Feedback in Stroke Rehabilitation Based on fNIRS Academic Background Stroke is a common neurological condition that profoundly affects patients’ daily lives and quality of life. Among the various functional impairments caused by stroke, hand dysfunction is particularly notable, manifesting in decreased muscle stre...

Relationship Between Structural and Functional Network Connectivity Changes for Patients with Traumatic Brain Injury and Chronic Health Symptoms

Study on Structural and Functional Network Connectivity Changes in Patients with Traumatic Brain Injury Background Introduction Traumatic Brain Injury (TBI) is a common neurological disorder that can lead to long-term cognitive, emotional, and physical symptoms. Although many patients experience symptom relief within months after the injury, a sign...

Topological Features of Brain Functional Networks Are Reorganized During Chronic Tinnitus: A Graph-Theoretical Study

Reorganization of Topological Features in Brain Functional Networks in Patients with Chronic Tinnitus Academic Background Tinnitus is the perception of sound in the absence of any external acoustic stimuli or internal sources of auditory perception, with a global prevalence ranging from 11.9% to 30.3%. Patients with tinnitus experience not only aud...

The Role of Occipitotemporal Network for Speed-Reading: An fMRI Study

The Role of Occipitotemporal Network for Speed-Reading: An fMRI Study

The Role of Occipitotemporal Network in Rapid Reading - An fMRI-based Study Background Reading is the most effective cognitive means for humans to acquire new knowledge. Although most native English-speaking adults read at an average speed of about 200 to 400 words per minute (w/min), many people hope to increase their reading speed to acquire new ...

Time Synchronization Between Parietal–Frontocentral Connectivity with MRCP and Gait in Post-Stroke Bipedal Tasks

Time Synchronization of Motor-Related Cortical Potentials and Parieto-Frontocentral Connectivity in Bilateral Tasks of Stroke Patients Background In stroke rehabilitation research, functional connectivity (FC), motor-related cortical potentials (MRCP), and gait activities are common metrics related to rehabilitation outcomes. Although these have be...

Artifactually Inflates Brain-Wide Functional Connectivity Throughout Functional MRI Scans

Functional Connectivity Across the Brain and Temporally Enhanced Non-neuronal Low-Frequency Oscillation (SLFO) Blood Flow Signal Based on Functional Magnetic Resonance Imaging Scans In the field of neuroscience, a core question is how the brain’s connectivity reconfigures over time to support adaptive functional changes. These dynamically changing ...

Identifying Oscillatory Brain Networks with Hidden Gaussian Graphical Spectral Models of MEEG

Identifying Oscillatory Brain Networks with Hidden Gaussian Graphical Spectral Models of MEEG

Research Background and Objectives With the continuous development of neuroscience, identifying indirectly observed processes related to functional networks has become an important research direction. Researchers attempt to estimate the activity of these functional networks through electrophysiological signals such as EEG and MEG. However, this pro...

Identification of Autism Spectrum Disorder Using Multiple Functional Connectivity-Based Graph Convolutional Network

The title of this paper is “Identification of Autism Spectrum Disorder Using Multiple Functional Connectivity-based Graph Convolutional Network,” published in the journal “Medical & Biological Engineering & Computing,” volume 62, pages 2133-2144, in 2024. This paper proposes a multiple functional connectivity-based graph convolutional network (mfc-...