Results 101 to 110 of about 307,566 (243)
Behavioral and Health Correlates of Resting-State Metastability in the Human Connectome Project. [PDF]
Metastability is currently considered a fundamental property of the functional configuration of brain networks. The present study sought to generate a normative reference framework for the metastability of the major resting-state networks (RSNs) (resting-state metastability dataset) and discover their association with demographic, behavioral, physical ...
Lee WH+4 more
europepmc +4 more sources
Bayesian uncertainty quantification in linear models for diffusion MRI
Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue microstructure. By fitting a model to the dMRI signal it is possible to derive various quantitative features.
Bånkestad, Maria+5 more
core +1 more source
High‐density MRI coil arrays with integrated field monitoring systems for human connectome mapping
ABSTRACT Purpose To develop and test two high‐density MRI coil arrays with integrated field monitoring systems for enhanced diffusion imaging with strong diffusion‐sensitizing gradients. Methods Two multichannel head coils were constructed for first‐ and second‐generation 3T Connectome MRI scanners, incorporating 64 and 72 receive channels ...
Mirsad Mahmutovic+17 more
wiley +1 more source
Abstract Objectives Neonates with critical congenital heart disease (CCHD) are at risk for adverse early brain development and long‐term neurodevelopmental sequelae. Insulin‐like growth factor‐1 (IGF‐1) and insulin‐like growth factor binding protein‐3 (IGFBP‐3) are essential contributors to brain growth and maturation.
M. Nijman+33 more
wiley +1 more source
A large normative connectome for exploring the tractographic correlates of focal brain interventions
Diffusion-weighted MRI (dMRI) is a widely used neuroimaging modality that permits the in vivo exploration of white matter connections in the human brain.
Gavin J. B. Elias+6 more
doaj +1 more source
Reporting white matter findings in voxel-wise neuroimaging studies typically lacks specificity in terms of brain connectivity. Therefore, the purpose of this work was to develop an approach for rapidly extracting standardized brain connectivity ...
Xiaoxiao Qi, Konstantinos Arfanakis
doaj
Abstract Ninety percent of all primary liver malignancies are hepatocellular carcinomas (HCC), making liver cancer the third most common cause of cancer‐associated mortality. Different patterns of programmed cell death (PCD) are crucial for the survival of tumors, and they might serve as a prognostic marker for HCC.
Lin Ding+10 more
wiley +1 more source
Simultaneous Matrix Diagonalization for Structural Brain Networks Classification
This paper considers the problem of brain disease classification based on connectome data. A connectome is a network representation of a human brain. The typical connectome classification problem is very challenging because of the small sample size and ...
A Kurkumov+13 more
core +1 more source
Intelligent Medical Diagnosis Model Based on Graph Neural Networks for Medical Images
ABSTRACT Recently, numerous estimation issues have been solved due to the developments in data‐driven artificial neural networks (ANN) and graph neural networks (GNN). The primary limitation of previous methodologies has been the dependence on data that can be structured in a grid format.
Ashutosh Sharma, Amit Sharma, Kai Guo
wiley +1 more source
Structural and functional connectivity reconstruction with CATO - A Connectivity Analysis TOolbox
We describe a Connectivity Analysis TOolbox (CATO) for the reconstruction of structural and functional brain connectivity based on diffusion weighted imaging and resting-state functional MRI data.
Siemon C. de Lange+2 more
doaj