Results 111 to 120 of about 1,594,854 (292)
Measuring the thickness of the human cerebral cortex from magnetic resonance images.
B. Fischl, A. M. Dale
semanticscholar +1 more source
This research identified cardiac amyloid pathology, neurotrophic factor depletion, and reduced myocardial nerve function in a transgenic model of cerebral amyloidosis (Tg2576), Aβ‐challenged cardiomyocytes, and in human AD heart tissue. These findings carry significant diagnostic and therapeutic implications, emphasizing the role of neuro‐signaling ...
Andrea Elia +6 more
wiley +1 more source
This study employs longitudinal fluorescence imaging in transgenic mice to map post‐craniotomy cortical recovery. We identify distinct neuroimmune recovery phases: microglial structural inflammation peaks at ∼10 days, neuronal structural intensity peaks at ∼14 days and correlates with microglial activity, and functional network modularity is most ...
Guihua Xiao +13 more
wiley +1 more source
Distributed hierarchical processing in the primate cerebral cortex.
D. Felleman, D. C. Essen
semanticscholar +1 more source
A post‐stroke perivascular niche of microglia characterized by low expression of M2 markers and elevated glycolysis, oxidative phosphorylation (OXPHOS), and phagocytic activity is identified, which is termed stroke‐activated vascular‐associated microglia (stroke‐VAM).
Yanan Li +8 more
wiley +1 more source
Automatically parcellating the human cerebral cortex.
B. Fischl +13 more
semanticscholar +1 more source
A new cerebrocortical organoid model using isogenic hiPSCs with familial Alzheimer's mutations recapitulates key AD features, including amyloid‐beta and phospho‐Tau aggregation, neuronal hyperexcitability, and synapse loss. Single‐cell RNA‐seq reveals aberrant pathways in excitatory and inhibitory neurons.
Sergio R. Labra +23 more
wiley +1 more source
The organization of the human cerebral cortex estimated by intrinsic functional connectivity.
B. T. T. Yeo +16 more
semanticscholar +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source

