Background Introduction The brain is composed of different subtypes of neurons, which form complex neural networks through local and long-range synaptic connections. Understanding the functions of these neural networks requires knowledge of their connection patterns (projectome) and neuronal dynamics. Although advancements in mesoscale connectomics...
Advances in Neurobiology: “Navigating” Predictable Spontaneous Brain States through Cognitive Maps Background Introduction Spontaneous brain activity refers to brain processes that are not constrained by specific inputs or outputs, and these processes play an important role in neural and cognitive variability. Although the specific mechanisms of sp...
Mesoscale Organization of Ventral and Dorsal Visual Pathways in Macaque Monkey Revealed by 7T fMRI In the journal Progress in Neurobiology, a research team from the Interdisciplinary Institute of Neuroscience and Technology and the Department of Neurosurgery at the Second Hospital in Zhejiang University published a paper titled “Mesoscale organizat...
Analyzing the Gene Expression Network in Developing Hippocampus from the Perspective of NEIL3 Deficiency Background The hippocampus, a crucial region of the brain, is well-regarded for its key roles in memory consolidation, information processing, and emotional regulation. In the field of neuroscience research, the gene regulatory mechanisms of the...
Epilepsy is one of the most common neurological disorders, with temporal lobe epilepsy (TLE) being the most prevalent form of drug-resistant epilepsy in adults. Numerous studies have indicated that TLE involves not only pathological changes in the medial temporal lobe but also affects widespread brain structures and functions. In this scientific re...
Major Breakthrough in Brain Science: Multimodal MRI Reveals Brainstem Connectivity Maintaining Human Consciousness and Wakefulness Background Introduction Consciousness comprises two fundamental components: wakefulness and awareness. Despite significant progress in understanding the cortical networks related to consciousness over the past two decad...
New Breakthrough in the Field of Cerebral Vascular Diseases: Clinical Application of Small Optical Coherence Tomography Imaging Probe Academic Background and Research Motivation In recent years, interventional treatment has become the preferred method for cerebrovascular diseases such as cerebral aneurysm, ischemic stroke, arterial dissection, and ...
Application of Functional Ultrasound Imaging in the Study of the Human Spinal Cord Background Introduction The spinal cord is an important center for sensory and motor integration in the nervous system, responsible for monitoring the kinematics and posture of various body parts. Interruption of spinal cord information flow due to injury or disease ...
Multi-template Meta-information Regularized Network for Alzheimer’s Disease Diagnosis: A Study Based on Structural MRI Research Background Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder, and its diagnosis and early detection is a significant challenge in the medical field. Structural MRI (sMRI) is widely used in computer-aided...
Application of Implicit Regularization Learning Network Based on Noise Generation and Imaging Mechanisms in Low-Dose CT Reconstruction Low-Dose Computed Tomography (LDCT) has become an important tool in modern medical imaging, aiming to reduce radiation risks while maintaining image quality. However, reducing the X-ray dose often leads to data corr...