[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 …
Statistical power in network neuroscience
Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …
success of these investigations is dependent not only on approaches to accurately map …
The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline
H Chen, X Sheng, C Luo, R Qin, Q Ye, H Zhao… - Translational …, 2020 - Springer
Background Subjective cognitive decline (SCD) is a preclinical stage along the Alzheimer's
disease (AD) continuum. However, little is known about the aberrant patterns of connectivity …
disease (AD) continuum. However, little is known about the aberrant patterns of connectivity …
Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity
N Blomsma, B de Rooy, F Gerritse… - Network …, 2022 - direct.mit.edu
Brain network characteristics' potential to serve as a neurological and psychiatric pathology
biomarker has been hampered by the so-called thresholding problem. The minimum …
biomarker has been hampered by the so-called thresholding problem. The minimum …
[HTML][HTML] Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study
This study hypothesizes that the brain shows hyper connectedness as amyotrophic lateral
sclerosis (ALS) progresses. 54 patients (classified as “early stage” or “advanced stage”) and …
sclerosis (ALS) progresses. 54 patients (classified as “early stage” or “advanced stage”) and …
Abnormalities in hubs location and nodes centrality predict cognitive slowing and increased performance variability in first-episode schizophrenia patients
Abstract Introducing the Minimum Spanning Tree (MST) algorithms to neural networks
science eliminated the problem of arbitrary setting of the threshold for connectivity strength …
science eliminated the problem of arbitrary setting of the threshold for connectivity strength …
Classification of major depression disorder via using minimum spanning tree of individual high-order morphological brain network
Y Li, T Chu, Y Liu, H Zhang, F Dong, Q Gai… - Journal of Affective …, 2023 - Elsevier
Background Major depressive disorder (MDD) is an overbroad and heterogeneous
diagnosis with no reliable or quantifiable markers. We aim to combine machine-learning …
diagnosis with no reliable or quantifiable markers. We aim to combine machine-learning …
A hands-on tutorial on network and topological neuroscience
The brain is an extraordinarily complex system that facilitates the optimal integration of
information from different regions to execute its functions. With the recent advances in …
information from different regions to execute its functions. With the recent advances in …
Identifying the hierarchical emotional areas in the human brain through information fusion
The brain basis of emotion has consistently received widespread attention, attracting a large
number of studies to explore this cutting-edge topic. However, the methods employed in …
number of studies to explore this cutting-edge topic. However, the methods employed in …
The road ahead in clinical network neuroscience
Clinical network neuroscience, the study of brain network topology in neurological and
psychiatric diseases, has become a mainstay field within clinical neuroscience. Being a …
psychiatric diseases, has become a mainstay field within clinical neuroscience. Being a …