Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review

FV Farahani, W Karwowski, NR Lighthall - frontiers in Neuroscience, 2019 - frontiersin.org
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

A cross-disorder connectome landscape of brain dysconnectivity

MP van den Heuvel, O Sporns - Nature reviews neuroscience, 2019 - nature.com
Many human brain disorders are associated with characteristic alterations in the structural
and functional connectivity of the brain. In this article, we explore how commonalities and …

Neuroimaging biomarkers in schizophrenia

NV Kraguljac, WM McDonald… - American Journal of …, 2021 - Am Psychiatric Assoc
Schizophrenia is a complex neuropsychiatric syndrome with a heterogeneous genetic,
neurobiological, and phenotypic profile. Currently, no objective biological measures—that is …

Salience processing and insular cortical function and dysfunction

LQ Uddin - Nature reviews neuroscience, 2015 - nature.com
The brain is constantly bombarded by stimuli, and the relative salience of these inputs
determines which are more likely to capture attention. A brain system known as the'salience …

[HTML][HTML] Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and …

MP van den Heuvel, SC de Lange, A Zalesky… - Neuroimage, 2017 - Elsevier
Graph theoretical analysis has become an important tool in the examination of brain
dysconnectivity in neurological and psychiatric brain disorders. A common analysis step in …

Dysfunction of large-scale brain networks in schizophrenia: a meta-analysis of resting-state functional connectivity

D Dong, Y Wang, X Chang, C Luo… - Schizophrenia …, 2018 - academic.oup.com
Schizophrenia is a complex mental disorder with disorganized communication among large-
scale brain networks, as demonstrated by impaired resting-state functional connectivity …

Small-world human brain networks: perspectives and challenges

X Liao, AV Vasilakos, Y He - Neuroscience & Biobehavioral Reviews, 2017 - Elsevier
Modelling the human brain as a complex network has provided a powerful mathematical
framework to characterize the structural and functional architectures of the brain. In the past …

Altering the course of schizophrenia: progress and perspectives

MJ Millan, A Andrieux, G Bartzokis… - Nature reviews Drug …, 2016 - nature.com
Despite a lack of recent progress in the treatment of schizophrenia, our understanding of its
genetic and environmental causes has considerably improved, and their relationship to …

Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders

G Deco, ML Kringelbach - Neuron, 2014 - cell.com
The study of human brain networks with in vivo neuroimaging has given rise to the field of
connectomics, furthered by advances in network science and graph theory informing our …

Dysconnectivity of multiple brain networks in schizophrenia: a meta-analysis of resting-state functional connectivity

S Li, N Hu, W Zhang, B Tao, J Dai, Y Gong… - Frontiers in …, 2019 - frontiersin.org
Background: Seed-based studies on resting-state functional connectivity (rsFC) in
schizophrenia have shown disrupted connectivity involving a number of brain networks; …