Results 201 to 210 of about 500,399 (326)

BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks

open access: yesAdvanced Science, EarlyView.
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti   +8 more
wiley   +1 more source

Targeting ROCK2 to Restore Epileptic Synaptic Networks via Mitophagy Activation: Insights from Translational Imaging of SV2A In Vivo

open access: yesAdvanced Science, EarlyView.
By integrating synaptic vesicle glycoprotein 2A PET imaging and transcriptomics, this study identifies Rho‐associated protein kinase 2 (ROCK2) as a critical regulator of synaptic network dysfunction in temporal lobe epilepsy. Pharmacological ROCK2 inhibition restores synaptic density and enhances mitophagy, thereby reducing seizures and neuronal damage.
Ling Xiao   +14 more
wiley   +1 more source

STEMDiff: A Wavelet‐Enhanced Diffusion Model for Physics‐Informed STEM Image Generation

open access: yesAdvanced Science, EarlyView.
STEMDiff, which is a conditional diffusion model that generates realistic STEM images from crystal structure‐derived binary labels, is proposed, overcoming high‐frequency bias via a Discrete Wavelet Transform‐based architecture. It produces experimentally indistinguishable images, enabling annotation‐free training of networks for precise atomic ...
Yihui Bao   +4 more
wiley   +1 more source

Enhancing Spatial Transcriptomics via Spatially Constrained Matrix Decomposition with EDGES

open access: yesAdvanced Science, EarlyView.
Imaging‐based spatial transcriptomics technologies are currently limited by their restricted gene detection capacity and low measurement accuracy. Moreover, the insufficient integration of spatial context and single‐cell reference data poses a significant challenge for comprehensive data analysis.
Jinyue Zhao   +5 more
wiley   +1 more source

Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis

open access: yesAdvanced Science, EarlyView.
In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
wiley   +1 more source

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