Results 151 to 160 of about 88,203 (308)

Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy

open access: yesAdvanced Science, EarlyView.
Resting‐state fMRI captures intrinsic brain activity, yet the physical significance of latency structures remains unclear. In this study, the spatiotemporal properties of fMRI‐derived latency structures are examined by linking them to biophysical model‐based neural functions, intrinsic neural timescales, and functional gradients.
Hyoungshin Choi   +5 more
wiley   +1 more source

Theta power during encoding predicts subsequent‐memory performance and default mode network deactivation [PDF]

open access: bronze, 2012
Thomas P. White   +9 more
openalex   +1 more source

SCRIPT: Predicting Single‐Cell Long‐Range Cis‐Regulation Based on Pretrained Graph Attention Networks

open access: yesAdvanced Science, EarlyView.
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang   +13 more
wiley   +1 more source

Mindfulness disposition and default-mode network connectivity in older adults [PDF]

open access: hybrid, 2012
Ruchika Shaurya Prakash   +4 more
openalex   +1 more source

SURF: A Self‐Supervised Deep Learning Method for Reference‐Free Deconvolution in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
SURF is a robust reference‐free deconvolution tool that integrates high‐dimensional spatial transcriptomics gene expression analysis with self‐supervised deep learning, enabling effective modeling of non‐linear gene interactions and spot relationships.
Shuyu Liang   +9 more
wiley   +1 more source

The Default Mode Network and Related Right Hemisphere Structures may be the Key Substrates of Dementia [PDF]

open access: green, 2012
Donald R. Royall   +4 more
openalex   +1 more source

Quantitative Profiling of Nanoscopic Protein Aggregates Reveals Specific Fingerprint of TDP‐43‐Positive Assemblies in Motor Neuron Disease

open access: yesAdvanced Science, EarlyView.
Single‐molecule fluorescence microscopy is combined with proteomic profiling to fingerprint the morphology and composition of TDP‐43 protein aggregates found in post‐mortem motor neuron disease brain tissues. Aggregate fingerprints can distinguish disease from control donors and detect unexpected TDP‐43 pathology in SOD1‐MND.
Dezerae Cox   +9 more
wiley   +1 more source

Constrained Source-Based Morphometry Identifies Structural Networks Associated with Default Mode Network [PDF]

open access: green, 2012
Li Luo   +5 more
openalex   +1 more source

BLOC1S1 Attenuates B. Melitensis 16M LPS‐Triggered Autophagy by Spatial Confinement of TDP‐43

open access: yesAdvanced Science, EarlyView.
This study explores how B. melitensis 16M LPS and BLOC1S1 regulate autophagy in goat spermatogonial stem cells. The 16M LPS is activating AMPK‐dependent autophagy, increasing LC3B‐II/I ratios and lysosomal genes, while Escherichia coli LPS shows no effect.
Shicheng Wan   +13 more
wiley   +1 more source

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