Brain Science Research Inspires AI Algorithms: Neural Mechanisms of Knowledge Assembly Background Introduction When new information enters the brain, human pre-existing knowledge of the world can quickly change through a process called “knowledge assembly.” Recently, in a study conducted by Nelli et al., the neural correlates of knowledge assembly ...

Graph Theory Analysis of Brain Network Topology Structure in Patients with Primary Angle-Closure Glaucoma Research Background Glaucoma is a global blinding eye disease characterized by optic nerve damage and elevated intraocular pressure (IOP) (Kang and Tanna 2021). Among various types of glaucoma, Primary Angle-Closure Glaucoma (PACG) is particula...

Research Report on Changes in Functional Connectivity in Post-Stroke Epilepsy (PSE) Patients Based on Source-Level EEG and Graph Theory Research Background Epilepsy has various etiologies, including idiopathic, congenital, head trauma, central nervous system infections, brain tumors, neurodegenerative diseases, and cerebrovascular diseases. Among t...

Predicting Drug-Target Affinity Based on Learning Protein Knowledge from Biological Networks Background The prediction of drug-target affinity (DTA) plays a crucial role in drug discovery. Efficient and accurate DTA prediction can significantly reduce the time and economic costs of new drug development. In recent years, the explosive development of...

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...

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...

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 ...

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...

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...

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...