Graph analysis of functional brain networks: practical issues in translational neuroscience
F de Vico Fallani, J Richiardi… - … Transactions of the …, 2014 - royalsocietypublishing.org
The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …
represent different specialized regions and links, or connections, represent communication …
Data mining algorithms and techniques in mental health: a systematic review
Data Mining in medicine is an emerging field of great importance to provide a prognosis and
deeper understanding of disease classification, specifically in Mental Health areas. The …
deeper understanding of disease classification, specifically in Mental Health areas. The …
Combining complex networks and data mining: why and how
The increasing power of computer technology does not dispense with the need to extract
meaningful information out of data sets of ever growing size, and indeed typically …
meaningful information out of data sets of ever growing size, and indeed typically …
Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease
Functional connectivity networks (FCNs) using resting-state functional magnetic resonance
imaging (rs-fMRI) have been applied to the analysis and diagnosis of brain disease, such as …
imaging (rs-fMRI) have been applied to the analysis and diagnosis of brain disease, such as …
Complex network theory and the brain
D Papo, JM Buldú, S Boccaletti… - … Transactions of the …, 2014 - royalsocietypublishing.org
Complex network theory and the brain | Philosophical Transactions of the Royal Society B:
Biological Sciences logo logo Skip main navigationJournal menuClose Drawer MenuOpen …
Biological Sciences logo logo Skip main navigationJournal menuClose Drawer MenuOpen …
Principles and open questions in functional brain network reconstruction
O Korhonen, M Zanin, D Papo - Human Brain Mapping, 2021 - Wiley Online Library
Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …
endowing observed brain anatomy and dynamics with a complex network representation …
Hyper-connectivity of functional networks for brain disease diagnosis
Exploring structural and functional interactions among various brain regions enables better
understanding of pathological underpinnings of neurological disorders. Brain connectivity …
understanding of pathological underpinnings of neurological disorders. Brain connectivity …
Integration of network topological and connectivity properties for neuroimaging classification
Rapid advances in neuroimaging techniques have provided an efficient and noninvasive
way for exploring the structural and functional connectivity of the human brain. Quantitative …
way for exploring the structural and functional connectivity of the human brain. Quantitative …
Direct-coupling information measure from nonuniform embedding
D Kugiumtzis - Physical Review E—Statistical, Nonlinear, and Soft …, 2013 - APS
A measure to estimate the direct and directional coupling in multivariate time series is
proposed. The measure is an extension of a recently published measure of conditional …
proposed. The measure is an extension of a recently published measure of conditional …
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification
Recent works have shown that hyper-networks derived from blood-oxygen-level-dependent
(BOLD) fMRI, where an edge (called hyper-edge) can be connected to more than two nodes …
(BOLD) fMRI, where an edge (called hyper-edge) can be connected to more than two nodes …