[HTML][HTML] Structural insight into the individual variability architecture of the functional brain connectome
Human cognition and behaviors depend upon the brain's functional connectomes, which
vary remarkably across individuals. However, whether and how the functional connectome …
vary remarkably across individuals. However, whether and how the functional connectome …
[HTML][HTML] The community structure of functional brain networks exhibits scale-specific patterns of inter-and intra-subject variability
The network organization of the human brain varies across individuals, changes with
development and aging, and differs in disease. Discovering the major dimensions along …
development and aging, and differs in disease. Discovering the major dimensions along …
Brain spontaneous functional connectivity and intelligence
Many functional imaging studies have been performed to explore the neural basis of
intelligence by detecting brain activity changes induced by intelligence-related tasks, such …
intelligence by detecting brain activity changes induced by intelligence-related tasks, such …
[HTML][HTML] Predicting intelligence from brain gray matter volume
A positive association between brain size and intelligence is firmly established, but whether
region-specific anatomical differences contribute to general intelligence remains an open …
region-specific anatomical differences contribute to general intelligence remains an open …
General, crystallized and fluid intelligence are not associated with functional global network efficiency: A replication study with the human connectome project 1200 …
One hallmark example of a link between global topological network properties of complex
functional brain connectivity and cognitive performance is the finding that general …
functional brain connectivity and cognitive performance is the finding that general …
The (in) stability of functional brain network measures across thresholds
The large-scale organization of the brain has features of complex networks that can be
quantified using network measures from graph theory. However, many network measures …
quantified using network measures from graph theory. However, many network measures …
[HTML][HTML] Interpretable whole-brain prediction analysis with GraphNet
L Grosenick, B Klingenberg, K Katovich, B Knutson… - NeuroImage, 2013 - Elsevier
Multivariate machine learning methods are increasingly used to analyze neuroimaging data,
often replacing more traditional “mass univariate” techniques that fit data one voxel at a time …
often replacing more traditional “mass univariate” techniques that fit data one voxel at a time …
Functional connectivity inference from fMRI data using multivariate information measures
Q Li - Neural Networks, 2022 - Elsevier
Shannon's entropy or an extension of Shannon's entropy can be used to quantify information
transmission between or among variables. Mutual information is the pair-wise information …
transmission between or among variables. Mutual information is the pair-wise information …
Heritability of the network architecture of intrinsic brain functional connectivity
The brain's functional network exhibits many features facilitating functional specialization,
integration, and robustness to attack. Using graph theory to characterize brain networks …
integration, and robustness to attack. Using graph theory to characterize brain networks …
Toward leveraging human connectomic data in large consortia: generalizability of fMRI-based brain graphs across sites, sessions, and paradigms
While graph theoretical modeling has dramatically advanced our understanding of complex
brain systems, the feasibility of aggregating connectomic data in large imaging consortia …
brain systems, the feasibility of aggregating connectomic data in large imaging consortia …