Results 101 to 110 of about 25,271 (310)
Nigral dopaminergic (DA) neurons modulate and represent pain with a preference to a particular modality (mechanical) and laterality (contralateral), which are controlled by nigral GABAergic neurons. The pain modulation is mimicked by the nigro‐subthalamic projection and its downstream neurons, involving D2‐like receptors.
Ying Ji +13 more
wiley +1 more source
Despite widespread exposure, the mechanisms of manganese neurotoxicity remain poorly understood. Using correlative cryogenic fluorescence and synchrotron X‐ray fluorescence imaging techniques, we show that the Golgi apparatus is the primary accumulation site for manganese in both neurons and astrocytes, and that manganese targets the neuronal ...
Ines Kelkoul +12 more
wiley +1 more source
This study identifies S100A14 in tumor‐derived exosomes as a key driver of brain metastasis. S100A14 targets PIAS3 in astrocytes, activating STAT3 signaling and promoting immunosuppressive MDSCs recruitment via chemokine secretion. Germacrone, a natural compound, binds S100A14 to disrupt this axis, effectively inhibiting brain metastasis with low ...
Qian Feng +13 more
wiley +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
This study explores the opposing effects of the mGluR2 and mGluR3 receptors on amyloid precursor protein processing. mGluR2 promotes amyloidogenic cleavage, while mGluR3 favors non‐amyloidogenic pathways. Using a brain‐penetrant nanobody as a mGluR2 positive allosteric modulator, the study uncovers how its chronic activation aggravates amyloid‐β burden
Pierre‐André Lafon +21 more
wiley +1 more source
Temporal Interference Stimulation Enhances Neural Regeneration
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressott +15 more
wiley +1 more source
Noninvasive Focal Gene Delivery into the Cerebellum of Non‐Human Primates using Focused Ultrasound
Focal and non‐invasive viral vector delivery in non‐human primates remains a major challenge in translational neuroscience. Low‐intensity focused ultrasound was used to transiently open the blood–brain barrier and enable targeted gene delivery to the cerebellum.
Noelia Esteban‐García +11 more
wiley +1 more source
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu +8 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source

