scholarly journals Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Jennifer Ann Hadley ◽  
Nina Vanessa Kraguljac ◽  
David Matthew White ◽  
Lawrence Ver Hoef ◽  
Janell Tabora ◽  
...  
Keyword(s):  
Graph Theory ◽  
Treatment Response ◽  
Network Topology ◽  
Resting State ◽  
Resting State Fmri ◽  
Brain Network ◽  
Fmri Study

scholarly journals Disrupted brain network topology in pediatric posttraumatic stress disorder: A resting-state fMRI study

2015 ◽  
Vol 36 (9) ◽  
pp. 3677-3686 ◽  
Author(s):  
Xueling Suo ◽  
Du Lei ◽  
Kaiming Li ◽  
Fuqin Chen ◽  
Fei Li ◽  
...  
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Posttraumatic Stress ◽  
Network Topology ◽  
Resting State ◽  
Stress Disorder ◽  
Resting State Fmri ◽  
Brain Network ◽  
Fmri Study

scholarly journals Disrupted brain network topology in chronic insomnia disorder: A resting-state fMRI study

2018 ◽  
Vol 18 ◽  
pp. 178-185 ◽  
Author(s):  
Zhonglin Li ◽  
Rui Chen ◽  
Min Guan ◽  
Enfeng Wang ◽  
Tianyi Qian ◽  
...  
Keyword(s):  
Network Topology ◽  
Resting State ◽  
Resting State Fmri ◽  
Brain Network ◽  
Chronic Insomnia ◽  
Insomnia Disorder ◽  
Fmri Study

Altered brain network organization in romantic love as measured with resting-state fMRI and graph theory

2020 ◽  
Vol 14 (6) ◽  
pp. 2771-2784 ◽  
Author(s):  
Chuan Wang ◽  
Sensen Song ◽  
Federico d’Oleire Uquillas ◽  
Anna Zilverstand ◽  
Hongwen Song ◽  
...  
Keyword(s):  
Graph Theory ◽  
Resting State ◽  
Romantic Love ◽  
Resting State Fmri ◽  
Brain Network ◽  
Network Organization

scholarly journals Individual Variation in Brain Network Topology Predicts Emotional Intelligence

2018 ◽  
Author(s):  
Ling George ◽  
Lee Ivy ◽  
Guimond Synthia ◽  
Lutz Olivia ◽  
Tandon Neeraj ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
Social Cognition ◽  
Network Topology ◽  
Resting State ◽  
Large Scale ◽  
Psychotic Disorders ◽  
Brain Connectivity ◽  
Distance Matrix ◽  
Resting State Fmri ◽  
Brain Network

AbstractBackgroundSocial cognitive ability is a significant determinant of functional outcome and deficits in social cognition are a disabling symptom of psychotic disorders. The neurobiological underpinnings of social cognition are not well understood, hampering our ability to ameliorate these deficits.ObjectiveUsing ‘resting-state’ fMRI (functional magnetic resonance imaging) and a trans-diagnostic, data-driven analytic strategy, we sought to identify the brain network basis of emotional intelligence, a key domain of social cognition.MethodsStudy participants included 60 participants with a diagnosis of schizophrenia or schizoaffective disorder and 46 healthy comparison participants. All participants underwent a resting-state fMRI scan. Emotional Intelligence was measured using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). A connectome-wide analysis of brain connectivity examined how each individual brain voxel’s connectivity correlated with emotional intelligence using multivariate distance matrix regression (MDMR).ResultsWe identified a region in the left superior parietal lobule (SPL) where individual network topology predicted emotional intelligence. Specifically, the association of this region with the Default Mode Network predicted higher emotional intelligence and association with the Dorsal Attention Network predicted lower emotional intelligence. This correlation was observed in both schizophrenia and healthy comparison participants.ConclusionPrevious studies have demonstrated individual variance in brain network topology but the cognitive or behavioral relevance of these differences was undetermined. We observe that the left SPL, a region of high individual variance at the cytoarchitectonic level, also demonstrates individual variance in its association with large scale brain networks and that network topology predicts emotional intelligence.

Schizophrenia symptoms and brain network efficiency: A resting-state fMRI study

2015 ◽  
Vol 234 (2) ◽  
pp. 208-218 ◽  
Author(s):  
Tsung-Wei Su ◽  
Tun-Wei Hsu ◽  
Yi-Ching Lin ◽  
Ching-Po Lin
Keyword(s):  
Resting State ◽  
Resting State Fmri ◽  
Brain Network ◽  
Network Efficiency ◽  
Fmri Study

scholarly journals Clinical pain and functional network topology in Parkinson’s disease: a resting-state fMRI study

2018 ◽  
Vol 125 (10) ◽  
pp. 1449-1459 ◽  
Author(s):  
Gwenda Engels ◽  
Brónagh McCoy ◽  
Annemarie Vlaar ◽  
Jan Theeuwes ◽  
Henry Weinstein ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Network Topology ◽  
Resting State ◽  
Resting State Fmri ◽  
Functional Network ◽  
Clinical Pain ◽  
Fmri Study
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