Functional Connectivity among Limbic Brain Areas: Differential Effects of Incubation Temperature and Gonadal Sex in the Leopard Gecko, Eublepharis macularius

2000 ◽  
Vol 55 (3) ◽  
pp. 139-151 ◽  
Author(s):  
Jon T. Sakata ◽  
Patricia Coomber ◽  
F. Gonzalez-Lima ◽  
David Crews
2007 ◽  
Vol 67 (5) ◽  
pp. 630-636 ◽  
Author(s):  
Brian George Dias ◽  
Ramona Sousan Ataya ◽  
David Rushworth ◽  
Jun Zhao ◽  
David Crews

Author(s):  
Maria Michela Pallotta ◽  
Mimmo Turano ◽  
Raffaele Ronca ◽  
Marcello Mezzasalma ◽  
Agnese Petraccioli ◽  
...  

2018 ◽  
Vol 56 (01) ◽  
pp. E2-E89
Author(s):  
A Kremer ◽  
T Buchwald ◽  
M Vetter ◽  
A Dörfler ◽  
C Forster

2017 ◽  
Author(s):  
Roel M. Willems ◽  
Franziska Hartung

Behavioral evidence suggests that engaging with fiction is positively correlated with social abilities. The rationale behind this link is that engaging with fictional narratives offers a ‘training modus’ for mentalizing and empathizing. We investigated the influence of the amount of reading that participants report doing in their daily lives, on connections between brain areas while they listened to literary narratives. Participants (N=57) listened to two literary narratives while brain activation was measured with fMRI. We computed time-course correlations between brain regions, and compared the correlation values from listening to narratives to listening to reversed speech. The between-region correlations were then related to the amount of fiction that participants read in their daily lives. Our results show that amount of fiction reading is related to functional connectivity in areas known to be involved in language and mentalizing. This suggests that reading fiction influences social cognition as well as language skills.


2021 ◽  
Author(s):  
Yusi Chen ◽  
Qasim Bukhari ◽  
Tiger Wutu Lin ◽  
Terrence J Sejnowski

Recordings from resting state functional magnetic resonance imaging (rs-fMRI) reflect the influence of pathways between brain areas. A wide range of methods have been proposed to measure this functional connectivity (FC), but the lack of ''ground truth'' has made it difficult to systematically validate them. Most measures of FC produce connectivity estimates that are symmetrical between brain areas. Differential covariance (dCov) is an algorithm for analyzing FC with directed graph edges. Applied to synthetic datasets, dCov-FC was more effective than covariance and partial correlation in reducing false positive connections and more accurately matching the underlying structural connectivity. When we applied dCov-FC to resting state fMRI recordings from the human connectome project (HCP) and anesthetized mice, dCov-FC accurately identified strong cortical connections from diffusion Magnetic Resonance Imaging (dMRI) in individual humans and viral tract tracing in mice. In addition, those HCP subjects whose rs-fMRI were more integrated, as assessed by a graph-theoretic measure, tended to have shorter reaction times in several behavioral tests. Thus, dCov-FC was able to identify anatomically verified connectivity that yielded measures of brain integration causally related to behavior.


GigaScience ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Zijun Xiong ◽  
Fang Li ◽  
Qiye Li ◽  
Long Zhou ◽  
Tony Gamble ◽  
...  

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