Graph Theory and Algorithms for Network Analysis [PDF]
E3S Web of Conferences, 2023 In network analysis, the study and comprehension of complex systems in numerous fields, such as social networks, transportation networks, and biological networks, are made possible by the crucial role played by graph theory and algorithms.
Arul Sharmila Mary +5 more
doaj +5 more sources
Graph Theory Analysis Reveals Resting-State Compensatory Mechanisms in Healthy Aging and Prodromal Alzheimer's Disease. [PDF]
Front Aging Neurosci, 2020 Several theories of cognitive compensation have been suggested to explain sustained cognitive abilities in healthy brain aging and early neurodegenerative processes.
Behfar Q +7 more
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Neurobiologically informed graph theory analysis of the language system. [PDF]
Netw NeurosciRecent advancements in neuroimaging data analysis facilitate the characterization of adaptive changes in brain network integration. This study introduces a distinctive approach that merges knowledge-informed and data-driven methodologies, offering a ...
Morishima Y +3 more
europepmc +4 more sources
Graph theory analysis reveals how sickle cell disease impacts neural networks of patients with more severe disease. [PDF]
Neuroimage Clin, 2019 Sickle cell disease (SCD) is a hereditary blood disorder associated with many life-threatening comorbidities including cerebral stroke and chronic pain.
Case M +9 more
europepmc +3 more sources
Graph theory analysis of resting-state functional magnetic resonance imaging in essential tremor. [PDF]
Hum Brain Mapp, 2019 Essential tremor (ET) is a neurological disease with both motor and nonmotor manifestations; however, little is known about its underlying brain basis. Furthermore, the overall organization of the brain network in ET remains largely unexplored.
Benito-León J +6 more
europepmc +4 more sources
Graph theory analysis reveals an assortative pain network vulnerable to attacks. [PDF]
Sci Rep, 2023 The neural substrate of pain experience has been described as a dense network of connected brain regions. However, the connectivity pattern of these brain regions remains elusive, precluding a deeper understanding of how pain emerges from the structural ...
Chen C, Tassou A, Morales V, Scherrer G.
europepmc +2 more sources
Brain Connectivity and Graph Theory Analysis in Alzheimer's and Parkinson's Disease: The Contribution of Electrophysiological Techniques. [PDF]
Brain Sci, 2022 In recent years, applications of the network science to electrophysiological data have increased as electrophysiological techniques are not only relatively low cost, largely available on the territory and non-invasive, but also potential tools for large ...
Miraglia F +7 more
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Graph and Network Theory for the Analysis of Criminal Networks [PDF]
, 2021 Social Network Analysis is the use of Network and Graph Theory to study social phenomena, which was found to be highly relevant in areas like Criminology. This chapter provides an overview of key methods and tools that may be used for the analysis of criminal networks, which are presented in a real-world case study.
Cavallaro L. +4 more
openaire +5 more sources
Altered Functional Network in Infants With Profound Bilateral Congenital Sensorineural Hearing Loss: A Graph Theory Analysis. [PDF]
Front Neurosci, 2021 Functional magnetic resonance imaging (fMRI) studies have suggested that there is a functional reorganization of brain areas in patients with sensorineural hearing loss (SNHL).
Cui W, Wang S, Chen B, Fan G.
europepmc +2 more sources
Aberrant Subnetwork and Hub Dysconnectivity in Adult Bipolar Disorder: A Multicenter Graph Theory Analysis. [PDF]
Cereb Cortex, 2022 Neuroimaging evidence implicates structural network-level abnormalities in bipolar disorder (BD); however, there remain conflicting results in the current literature hampered by sample size limitations and clinical heterogeneity.
Nabulsi L +15 more
europepmc +2 more sources