Schizophrenia, neuroimaging and connectomics

By Alex Fornito, Andrew Zalesky, Christos Pantelis, E. Bullmore. NeuroImage, 2012

717 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/cd9e7e7e29e4c953d4ee363dd359096c17368292

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Graph analysis of functional brain networks: practical issues in translational neuroscience (2014, methodology): “Using graph filtering should be used cautiously, as it allows only to compare the topological organization of the strongest connected pairs of brain nodes [99].”
Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia (2014, background): “…et al., 2009) or between nodes of default mode regions and cortical and subcortical regions in patients with schizophrenia (Salvador et al., 2010) while others found both reduced and mixed connectivity between default mode regions and cortical regions (see Fornito et al., 2012 for a review).”
Structural connectomics in brain diseases (2013, neutral): “(Fornito et al., 2012) have recently reviewed functional and structural connectomics studies carried out in schizophrenia.”
Network neuroscience (2017, background): “Here, network interactions offer important insights into the biological mechanisms associated with several common brain disorders, including schizophrenia 41 and autism 42 .”
Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review (2019, background): “, 2016), as well as in neurological and mental disorders (Xia and He, 2011; Fornito et al., 2012; Filippi et al., 2013; Dai and He, 2014; Stam, 2014; Fornito and Bullmore, 2015; Gong and He, 2015; Abós et al., 2017; Fleischer et al., 2017; Hojjati et al., 2017; Jalili, 2017; Miri Ashtiani et al., 20”
Function in the Human Connectome: Task-fMRI and Individual Differences in Behavior (2013, background): “, 2012), schizophrenia (Fitzsimmons et al., 2013; Fornito et al., 2012; Repovs et al., 2011; Whitfield-Gabrieli and Ford, 2012), ADHD (Fair et al.”
The hubs of the human connectome are generally implicated in the anatomy of brain disorders (2014, background): “, 2005) has potentially important implications for understanding clinical brain disorders (Bullmore and Sporns, 2012; Fornito et al., 2012; Menon, 2013; Rubinov and Bullmore, 2013; van den Heuvel and Sporns, 2013).”
Proportional thresholding in resting‐state fMRI functional connectivity networks and consequences for patient‐control connectome studies: Issues and recommendations (2017, neutral): “The theoretical background of this effect can be understood as follows (see also (Fornito et al., 2013; van den Heuvel and Fornito, 2014; van Wijk et al., 2010)): When setting a proportional threshold, the number of connections across patient and healthy control subjects is set to the same fixed num”
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex (2017, background): “It has been common525 practice in recent neuroscience studies to explore several neurological (Tijms et al., 2013; Fornito et al., 2015) and neuro-developmental disorders (Jafri et al., 2008; Liu et al., 2008; Dennis et al., 2011; Fornito et al., 2012) from a network perspective.”
Network hubs in the human brain. (2013, methodology): “(A) Adapted and reproduced from [80], (B) adapted and reproduced from [116], (C) adapted and reproduced from [152], (D) adapted and reproduced from [138], (E) adapted and reproduced from [136]. network.”
Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms (2013, neutral): “Application of graph analytical methods to these data showed changes in path length and centrality of strategic nodes as well as hyperconnectivity in some regions and hypoconnectivity in other regions (Fornito et al., 2012).”