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 ...

Mapping Medically Relevant RNA Isoform Diversity in the Aged Human Frontal Cortex with Deep Long-Read RNA-Seq

Academic Background RNA isoforms play a critical role in gene expression regulation. On average, human protein-coding genes contain over eight RNA isoforms, leading to nearly four distinct protein-coding sequences. Traditional short-read sequencing technologies, due to their limitations in read length, cannot accurately assemble and quantify RNA is...

Single-Cell Analysis of Anti-BCMA CAR T Cell Therapy in Patients with Central Nervous System Autoimmunity

Central Nervous System (CNS) autoimmune diseases, such as Neuromyelitis Optica Spectrum Disorders (NMOSD), are inflammatory demyelinating conditions characterized by relapses of optic neuritis and myelitis. Despite significant progress in the treatment of NMOSD, a subset of patients responds poorly to current therapies, with recurrent and difficult...

Oxidative Phosphorylation Regulates B Cell Effector Cytokines and Promotes Inflammation in Multiple Sclerosis

Oxidative Phosphorylation Regulates B Cell Effector Cytokines and Promotes Inflammation in Multiple Sclerosis Background Introduction In recent years, the antibody-independent functions of B cells in health and disease have become a research hotspot, particularly their ability to secrete different cytokines that can activate or downregulate local i...

The Role of the IL-1β-Stat5 Axis in Autoimmune Neuroinflammation and Potential Therapeutic Strategies

Major Breakthrough in Research for Autoimmune Neuroinflammation Treatment Background Introduction Steroid resistance is a significant challenge in the treatment of many inflammatory diseases, particularly autoimmune neuroinflammation. In these diseases, TH17 cells (T helper 17 cells) are widely regarded as key contributors to steroid resistance; ho...

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

Academic report: brainlife.io: A decentralized and open-source cloud platform supporting neuroscience research Background and Motivation Neuroscience research is rapidly developing, and the advancement of data standardization, management, and processing tools has made research more rigorous and transparent. However, this also brings about complex d...

Multisensory Flicker Modulates Widespread Brain Networks and Reduces Interictal Epileptiform Discharges

Multisensory Flicker Modulates Widespread Brain Networks and Reduces Interictal Epileptiform Discharges

Research Report on Multi-sensory Flicker Regulating Extensive Brain Networks and Reducing Interictal Epileptiform Discharges Background Introduction In treating neurological disorders, modulating brain oscillations has great potential. Non-invasive interventions, suitable for everyday use at home, have become the focus of the scientific community, ...

A Bicoherence Approach to Analyze Multi-Dimensional Cross-Frequency Coupling in EEG/MEG Data

Academic News Report on Multidimensional Cross-Frequency Coupling Analysis in EEG/MEG Data In recent years, with the advancement of neuroscience and medical imaging technology, researchers’ exploration of brain functional connectivity has become increasingly in-depth. This report will introduce a scientific research paper on multi-dimensional cross...

Prediction error processing and sharpening of expected information

Prediction error processing and sharpening of expected information

Scientific Report Background Introduction Perception and neuronal processing of sensory information are largely influenced by prior expectations. Perception is not merely passive reception, but an active inferential process by combining existing sensory information with prior information based on past experience and current context. The combination...

A GRU-CNN Model for Auditory Attention Detection using Microstate and Recurrence Quantification Analysis

Overview and Report: Application of GRU-CNN Model Based on Microstate and Recurrence Quantification Analysis in Auditory Attention Detection Background and Research Motivation Attention, as a cognitive ability, plays a crucial role in the perception process, helping humans to focus on specific objects while ignoring other distractions in a complex ...