Decreased Thalamocortical Connectivity in Resolved Rolandic Epilepsy

Decreased Thalamocortical Connectivity in Resolved Rolandic Epilepsy

Thalamocortical Connectivity Reduction in Rolandic Epilepsy Rolandic Epilepsy (RE), also known as self-limited epilepsy with centrotemporal spikes (SELECTS), is the most common localized developmental epileptic encephalopathy. This type of epilepsy is typically accompanied by transient mild to severe cognitive symptoms, sleep-related rolandic spike...

Functional Connectivity Changes in Mild Cognitive Impairment: A Meta-Analysis of M/EEG Studies

Changes in Functional Connectivity in Mild Cognitive Impairment: A Meta-Analysis of M/EEG Studies Background and Objectives Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by memory loss and cognitive impairment. AD is the leading cause of cognitive disorders in the elderly, accounting for approximately 60% to 80% of global c...

Pupillometry Reveals Resting State Alpha Power Correlates with Individual Differences in Adult Auditory Language Comprehension

Study on the Correlation between Adult Auditory Language Comprehension and Resting-State Alpha Wave Power Academic Background and Research Question Although individual differences in adult language processing have been documented in literature, the neural basis largely remains to be explored. Existing research primarily focuses on how general cogni...

Salivary Testosterone Levels and Pain Perception Exhibit Sex-Specific Association in Healthy Adults but Not in Patients with Migraine

The Level of Salivary Testosterone and Pain Perception Show Sex-Specific Associations in Healthy Adults, But Not in Migraine Patients Introduction Understanding the complexity of pain and the role gender plays in pain perception is of significant importance in medical research. Pain is an unpleasant sensory and emotional experience associated with ...

Bridging Stories and Science: An fNIRS-based Hyperscanning Investigation into Child Learning in STEM

Bridging Stories and Science: An fNIRS-based Hyperscanning Investigation into Child Learning in STEM

Academic News Report In Volume 285 of “Neuroimage” (2024), there is a published article entitled “Bridging Stories and Science: An fNIRS-Based Hyperscanning Investigation into Child Learning in STEM”. This article was co-authored by Juan Zhang and others, with the research team hailing from the Faculty of Education, Faculty of Health Sciences, and ...

Investigation of the Impact of Cross-Frequency Coupling on the Assessment of Depression Severity through the Analysis of Resting State EEG Signals

Background Depression, particularly Major Depressive Disorder (MDD), is a widespread and debilitating psychological disease often described as the “common cold” of mental health. Many people with MDD experience symptoms such as persistent sadness, hopelessness, cognitive impairment, and loss of motivation for daily activities, severely affecting pe...

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

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

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

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

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...