Graph theoretical analysis of tau burden and the functional connectome in Alzheimers disease

2019 ◽  
Author(s):  
A Weller ◽  
GN Bischof ◽  
P Schlüter ◽  
N Richter ◽  
J Kukolja ◽  
...  
Keyword(s):  
Theoretical Analysis ◽  
Alzheimers Disease ◽  
Graph Theoretical Analysis ◽  
Functional Connectome

scholarly journals Asymmetric Genome Organization in an RNA Virus Revealed via Graph-Theoretical Analysis of Tomographic Data

2015 ◽  
Vol 11 (3) ◽  
pp. e1004146 ◽  
Author(s):  
James A. Geraets ◽  
Eric C. Dykeman ◽  
Peter G. Stockley ◽  
Neil A. Ranson ◽  
Reidun Twarock
Keyword(s):  
Theoretical Analysis ◽  
Genome Organization ◽  
Rna Virus ◽  
Graph Theoretical Analysis ◽  
Tomographic Data

scholarly journals Altered brain functional networks in Internet gaming disorder: independent component and graph theoretical analysis under a probability discounting task

CNS Spectrums ◽  
2019 ◽  
Vol 24 (5) ◽  
pp. 544-556 ◽  
Author(s):  
Ziliang Wang ◽  
Xiaoyue Liu ◽  
Yanbo Hu ◽  
Hui Zheng ◽  
Xiaoxia Du ◽  
...  
Keyword(s):  
Theoretical Analysis ◽  
Internet Gaming Disorder ◽  
Neural Mechanism ◽  
Probability Discounting ◽  
Independent Component ◽  
Gaming Disorder ◽  
Negative Consequences ◽  
Graph Theoretical Analysis ◽  
Internet Gaming ◽  
Imaging Results

ObjectivesInternet gaming disorder (IGD) is becoming a matter of concern around the world. However, the neural mechanism underlying IGD remains unclear. The purpose of this paper is to explore the differences between the neuronal network of IGD participants and that of recreational Internet game users (RGU).MethodsImaging and behavioral data were collected from 18 IGD participants and 20 RGU under a probability discounting task. The independent component analysis (ICA) and graph theoretical analysis (GTA) were used to analyze the data.ResultsBehavioral results showed the IGD participants, compared to RGU, prefer risky options to the fixed ones and spent less time in making risky decisions. In imaging results, the ICA analysis revealed that the IGD participants showed stronger functional connectivity (FC) in reward circuits and executive control network, as well as lower FC in anterior salience network (ASN) than RGU; for the GTA results, the IGD participants showed impaired FC in reward circuits and ASN when compared with RGU.ConclusionsThese results suggest that IGD participants were more sensitive to rewards, and they were more impulsive in decision-making as they could not control their impulsivity effectively. This might explain why IGD participants cannot stop their gaming behaviors even when facing severe negative consequences.

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