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...

Histone 3 Lysine 9 Acetylation-Specific Reprogramming Regulates Esophageal Squamous Cell Carcinoma Progression and Metastasis

The Mechanism of Action of Specific Reprogramming of Histone H3 Lysine 9 Acetylation (H3K9ac) in the Progression and Metastasis of Esophageal Squamous Cell Carcinoma (ESCC) Background Esophageal cancer is one of the most prevalent and invasive malignant tumors globally, causing over 500,000 cancer-related deaths annually, ranking sixth among cancer...

GRIN2A mutation is a novel indicator of stratifying beneficiaries of immune checkpoint inhibitors in multiple cancers

GRIN2A Mutations as a Novel Indicator for Stratifying Beneficiaries of Immune Checkpoint Inhibitors in Various Cancers Background Immune checkpoint inhibitors (ICIs) therapy, which modulates the cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death (ligand) 1 (PD-(L)1) pathways, has made revolutionary progress in treating v...

Dual-Inhibition of NAMPT and PAK4 Induces Anti-Tumor Effects in 3D-Spheroids Model of Platinum-Resistant Ovarian Cancer

The Antitumor Effect of Dual Inhibition of NAMPT and PAK4 in a 3D Spheroid Model of Platinum-Resistant Ovarian Cancer Platinum-resistant ovarian cancer is a malignant gynecological tumor that is difficult to treat and has a short patient survival period. In recent years, researchers have sought new treatment strategies, targeting cancer stem cells ...

Multi-view Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification

Sleep stage classification is crucial for sleep quality assessment and disease diagnosis. However, existing classification methods still face numerous challenges in handling the spatial and temporal features of time-varying multi-channel brain signals, coping with individual differences in biological signals, and model interpretability. Traditional...

Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke through EMG-Driven Robot Hand Training: Insights from Dynamic Causal Modeling

Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke through EMG-Driven Robot Hand Training: Insights from Dynamic Causal Modeling

Revealing the Neuromechanism of Interhemispheric Balance Restoration in Chronic Stroke Patients through EMG-driven Robot Hand Training: Insights from Dynamic Causal Modeling Stroke is a common cause of disability, with most stroke survivors suffering from upper limb paralysis. The consequences of upper limb functional impairment can persist for ove...

Wavelet-Based Temporal-Spectral-Attention Correlation Coefficient for Motor Imagery EEG Classification

Brain-Computer Interface (BCI) technology has rapidly developed in recent years and is considered a cutting-edge technology that allows external devices to be controlled directly by the brain without the need for peripheral nerves and muscles. Particularly in the application of Motor Imagery Electroencephalography (MI-EEG), BCI technology has shown...

Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language

Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language

Phase-Dependent Language Perception in Neural Oscillations: An Interdisciplinary Study Report Background During speech perception, the phase of neural oscillations plays a crucial role in the separation of neural representations and perceptual decisions. However, the specific phase-encoding mechanisms remain unclear. This study aims to reveal how p...

Human Sensorimotor Resting State Beta Events and Aperiodic Activity Show Good Test–Retest Reliability

Human Sensorimotor Resting State β Events and Aperiodic Activity Exhibit Good Test-Retest Reliability Background Neurological diseases are some of the most impactful diseases on daily human life, particularly those affecting sensory and motor functions, such as Parkinson’s disease. Early diagnosis of these diseases is often exceedingly difficult du...

Spatiotemporal Dynamics of Cortical Somatosensory Network in Typically Developing Children

Temporal and Spatial Dynamics of Somatosensory Cortex Network in Typically Developing Children Research Background Touch plays a crucial role in our interaction with external objects and the fine control of hand movements. Despite substantial research on the mechanisms of sensory information processing in human skin, it remains unclear how brain re...