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[HTML][HTML] Quantitative map** of the brain's structural connectivity using diffusion MRI tractography: A review
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …
technique that enables in vivo reconstruction of the brain's white matter connections at …
Common misconceptions, hidden biases and modern challenges of dMRI tractography
The human brain is a complex and organized network, where the connection between
regions is not achieved with single axons crisscrossing each other but rather millions of …
regions is not achieved with single axons crisscrossing each other but rather millions of …
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction
Purpose Recently, brain connectivity networks have been used for the classification of
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …
Large-scale DCMs for resting-state fMRI
This paper considers the identification of large directed graphs for resting-state brain
networks based on biophysical models of distributed neuronal activity, that is, effective …
networks based on biophysical models of distributed neuronal activity, that is, effective …
[HTML][HTML] The effect of network thresholding and weighting on structural brain networks in the UK Biobank
Whole-brain structural networks can be constructed using diffusion MRI and probabilistic
tractography. However, measurement noise and the probabilistic nature of the tracking …
tractography. However, measurement noise and the probabilistic nature of the tracking …
[HTML][HTML] Surface-based single-subject morphological brain networks: effects of morphological index, brain parcellation and similarity measure, sample size-varying …
Morphological brain networks, in particular those at the individual level, have become an
important approach for studying the human brain connectome; however, relevant …
important approach for studying the human brain connectome; however, relevant …
TE-HI-GCN: An ensemble of transfer hierarchical graph convolutional networks for disorder diagnosis
Accurate diagnosis of psychiatric disorders plays a critical role in improving the quality of life
for patients and potentially supports the development of new treatments. Graph …
for patients and potentially supports the development of new treatments. Graph …
Signed graph representation learning for functional-to-structural brain network map**
MRI-derived brain networks have been widely used to understand functional and structural
interactions among brain regions, and factors that affect them, such as brain development …
interactions among brain regions, and factors that affect them, such as brain development …
[HTML][HTML] Multidimensional associations between cognition and connectome organization in temporal lobe epilepsy
Objective Temporal lobe epilepsy (TLE) is known to affect large-scale structural networks
and cognitive function in multiple domains. The study of complex relations between …
and cognitive function in multiple domains. The study of complex relations between …
[HTML][HTML] Data-driven subty** of executive function–related behavioral problems in children
Objective Executive functions (EF) are cognitive skills that are important for regulating
behavior and for achieving goals. Executive function deficits are common in children who …
behavior and for achieving goals. Executive function deficits are common in children who …