Disrupted Brain Functional Networks in Drug-Naïve Children with ADHD Assessed Using Graph Theory Analysis

2018 ◽  
Author(s):  
Ying Chen ◽  
Xiaoqi Huang ◽  
Min Wu ◽  
Kaiming Li ◽  
Xingyu Hu ◽  
...  
Keyword(s):  
Graph Theory ◽  
Functional Networks ◽  
Theory Analysis ◽  
Children With Adhd ◽  
Brain Functional Networks ◽  
Drug Naïve ◽  
Graph Theory Analysis

scholarly journals Dynamic Network Connectivity Reveals Markers of Response to Deep Brain Stimulation in Parkinson’s Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Chengyuan Wu ◽  
Caio Matias ◽  
Thomas Foltynie ◽  
Patricia Limousin ◽  
Ludvic Zrinzo ◽  
...  
Keyword(s):  
Graph Theory ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Theory Analysis ◽  
Whole Brain ◽  
Network Properties ◽  
Brain States ◽  
Graph Theory Analysis ◽  
Stn Dbs ◽  
Deep Brain

Background: Neuronal loss in Parkinson’s Disease (PD) leads to widespread neural network dysfunction. While graph theory allows for analysis of whole brain networks, patterns of functional connectivity (FC) associated with motor response to deep brain stimulation of the subthalamic nucleus (STN-DBS) have yet to be explored.Objective/Hypothesis: To investigate the distributed network properties associated with STN-DBS in patients with advanced PD.Methods: Eighteen patients underwent 3-Tesla resting state functional MRI (rs-fMRI) prior to STN-DBS. Improvement in UPDRS-III scores following STN-DBS were assessed 1 year after implantation. Independent component analysis (ICA) was applied to extract spatially independent components (ICs) from the rs-fMRI. FC between ICs was calculated across the entire time series and for dynamic brain states. Graph theory analysis was performed to investigate whole brain network topography in static and dynamic states.Results: Dynamic analysis identified two unique brain states: a relative hypoconnected state and a relative hyperconnected state. Time spent in a state, dwell time, and number of transitions were not correlated with DBS response. There were no significant FC findings, but graph theory analysis demonstrated significant relationships with STN-DBS response only during the hypoconnected state – STN-DBS was negatively correlated with network assortativity.Conclusion: Given the widespread effects of dopamine depletion in PD, analysis of whole brain networks is critical to our understanding of the pathophysiology of this disease. Only by leveraging graph theoretical analysis of dynamic FC were we able to isolate a hypoconnected brain state that contained distinct network properties associated with the clinical effects of STN-DBS.

scholarly journals Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Xiao Pan Ding ◽  
Si Jia Wu ◽  
Jiangang Liu ◽  
Genyue Fu ◽  
Kang Lee
Keyword(s):  
Neural Networks ◽  
Graph Theory ◽  
Theory Analysis ◽  
Graph Theory Analysis
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