Reconfiguration Ability of Functional Brain Network in the Cognitive Development of Young Preschool Children

2018 ◽  
Author(s):  
C. L. Srujana ◽  
S. N. Daimi ◽  
K. Watanabe ◽  
G. Saha ◽  
Joydeep Bhattacharya
Keyword(s):  
Preschool Children ◽  
Cognitive Development ◽  
Brain Network ◽  
Functional Brain ◽  
Functional Brain Network

Functional brain network reorganization in HIV infection

2021 ◽  
Author(s):  
Silvia Minosse ◽  
Eliseo Picchi ◽  
Francesca Di Giuliano ◽  
Loredana Sarmati ◽  
Elisabetta Teti ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Brain Network ◽  
Functional Brain ◽  
Functional Brain Network ◽  
Brain Network Reorganization

A common functional brain network for autobiographical, episodic, and semantic memory retrieval

NeuroImage ◽  
2010 ◽  
Vol 49 (1) ◽  
pp. 865-874 ◽  
Author(s):  
Hana Burianova ◽  
Anthony R. McIntosh ◽  
Cheryl L. Grady
Keyword(s):  
Semantic Memory ◽  
Memory Retrieval ◽  
Brain Network ◽  
Functional Brain ◽  
Functional Brain Network

Traumatic brain injury alters the functional brain network mediating working memory

Brain Injury ◽  
2011 ◽  
Vol 25 (12) ◽  
pp. 1170-1187 ◽  
Author(s):  
Maki Kasahara ◽  
David K. Menon ◽  
Claire H. Salmond ◽  
Joanne G. Outtrim ◽  
Joana V. Taylor Tavares ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Working Memory ◽  
Brain Injury ◽  
Brain Network ◽  
Functional Brain ◽  
Functional Brain Network

Differences in Functional Brain Networks Between Subjective Cognitive Decline with and without Worry Groups: A Graph Theory Study from SILCODE

2021 ◽  
pp. 1-11
Author(s):  
Yi Liu ◽  
Zhuoyuan Li ◽  
Xueyan Jiang ◽  
Wenying Du ◽  
Xiaoqi Wang ◽  
...  
Keyword(s):  
Graph Theory ◽  
Cognitive Decline ◽  
Path Length ◽  
Brain Networks ◽  
Brain Network ◽  
Clustering Coefficient ◽  
Subjective Cognitive Decline ◽  
Functional Brain ◽  
Functional Brain Network ◽  
Functional Brain Networks

Background: Evidence suggests that subjective cognitive decline (SCD) individuals with worry have a higher risk of cognitive decline. However, how SCD-related worry influences the functional brain network is still unknown. Objective: In this study, we aimed to explore the differences in functional brain networks between SCD subjects with and without worry. Methods: A total of 228 participants were enrolled from the Sino Longitudinal Study on Cognitive Decline (SILCODE), including 39 normal control (NC) subjects, 117 SCD subjects with worry, and 72 SCD subjects without worry. All subjects completed neuropsychological assessments, APOE genotyping, and resting-state functional magnetic resonance imaging (rs-fMRI). Graph theory was applied for functional brain network analysis based on both the whole brain and default mode network (DMN). Parameters including the clustering coefficient, shortest path length, local efficiency, and global efficiency were calculated. Two-sample T-tests and chi-square tests were used to analyze differences between two groups. In addition, a false discovery rate-corrected post hoc test was applied. Results: Our analysis showed that compared to the SCD without worry group, SCD with worry group had significantly increased functional connectivity and shortest path length (p = 0.002) and a decreased clustering coefficient (p = 0.013), global efficiency (p = 0.001), and local efficiency (p <  0.001). The above results appeared in both the whole brain and DMN. Conclusion: There were significant differences in functional brain networks between SCD individuals with and without worry. We speculated that worry might result in alterations of the functional brain network for SCD individuals and then result in a higher risk of cognitive decline.

Intelligent algorithm for dynamic functional brain network complexity from CN to AD

2021 ◽  
Author(s):  
Chenghui Zhang ◽  
Xinchun Cui ◽  
Shujun Lian ◽  
Ruyi Xiao ◽  
Hong Qiao ◽  
...  
Keyword(s):  
Brain Network ◽  
Intelligent Algorithm ◽  
Functional Brain ◽  
Functional Brain Network
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