Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
The insula: an underestimated brain area in clinical neuroscience, psychiatry, and neurology
H Namkung, SH Kim, A Sawa - Trends in neurosciences, 2017 - cell.com
Supported by recent human neuroimaging studies, the insula is re-emerging as an important
brain area not only in the physiological understanding of the brain, but also in pathological …
brain area not only in the physiological understanding of the brain, but also in pathological …
EEG-based emotion recognition using regularized graph neural networks
Electroencephalography (EEG) measures the neuronal activities in different brain regions
via electrodes. Many existing studies on EEG-based emotion recognition do not fully exploit …
via electrodes. Many existing studies on EEG-based emotion recognition do not fully exploit …
[HTML][HTML] Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity
Since initial reports regarding the impact of motion artifact on measures of functional
connectivity, there has been a proliferation of participant-level confound regression methods …
connectivity, there has been a proliferation of participant-level confound regression methods …
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Abstract Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise
to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such …
to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such …
Enhancing studies of the connectome in autism using the autism brain imaging data exchange II
The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance
the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent …
the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent …
Predicting brain-age from multimodal imaging data captures cognitive impairment
The disparity between the chronological age of an individual and their brain-age measured
based on biological information has the potential to offer clinically relevant biomarkers of …
based on biological information has the potential to offer clinically relevant biomarkers of …
The WU-Minn human connectome project: an overview
Abstract The Human Connectome Project consortium led by Washington University,
University of Minnesota, and Oxford University is undertaking a systematic effort to map …
University of Minnesota, and Oxford University is undertaking a systematic effort to map …
The hubs of the human connectome are generally implicated in the anatomy of brain disorders
Brain networks or 'connectomes' include a minority of highly connected hub nodes that are
functionally valuable, because their topological centrality supports integrative processing …
functionally valuable, because their topological centrality supports integrative processing …
Rethinking segregation and integration: contributions of whole-brain modelling
The brain regulates information flow by balancing the segregation and integration of
incoming stimuli to facilitate flexible cognition and behaviour. The topological features of …
incoming stimuli to facilitate flexible cognition and behaviour. The topological features of …