Multimodal MRI Reveals Brainstem Connections That Sustain Wakefulness in Human Consciousness

Multimodal MRI Reveals Brainstem Connections That Sustain Wakefulness in Human Consciousness

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...

Neuronal population activity in the olivocerebellum encodes the frequency of essential tremor in mice and patients

Encoding of Cerebellar-Olivary Neuronal Ensemble Activity for Tremor Frequency in Mice and Patients with Essential Tremor Research Background Essential Tremor (ET) is a common movement disorder characterized primarily by action tremor, affecting about 20% of the elderly population. The frequency and intensity of tremor are core features of ET. Howe...

Reactivating PTEN to Impair Glioma Stem Cells by Inhibiting Cytosolic Iron-Sulfur Assembly

Using the Suppression of Cytoplasmic Iron-Sulfur Cluster Assembly to Restore PTEN and Inhibit Glioma Stem Cells Background Glioblastoma (GBM) is one of the most lethal primary brain tumors. Glioma stem cells (GSCs) not only initiate and sustain the malignant phenotype but also enhance treatment resistance. Although PTEN frequently mutates in gliobl...

Identification of Hypoxic Macrophages in Glioblastoma with Therapeutic Potential for Vasculature Normalization

Identification of Hypoxic Macrophages in Glioblastoma with Therapeutic Potential for Vasculature Normalization

Identification of Therapeutic Potential of Hypoxic Macrophages in Glioblastoma Academic Background Glioblastoma (GBM) and isocitrate dehydrogenase (IDH) mutant gliomas are the most common malignant brain tumors in adults. Tumor-associated macrophages (TAMs) are the major immune cell infiltrates in these tumors. These cells interact directly with ma...

AI-based Denoising of Head Impact Kinematics Measurements with Convolutional Neural Network for Traumatic Brain Injury Prediction

Research and Application of Denoising Head Impact Kinematics Measurement Based on Convolutional Neural Networks Research Background Mild Traumatic Brain Injury (MTBI) is a global health threat. Humans often face the risk of MTBI in situations such as falls, traffic accidents, and sports. According to statistics, there were over 27 million brain inj...