Conceptual replication study and meta-analysis suggest simulated nature does not reliably restore pure executive attention measured by the attention network task

Author(s):  
Jennifer Adrienne Johnson ◽  
Brooke E. Hansen ◽  
Emily L. Funk ◽  
Francesca L. Elezovic ◽  
John-Christopher A. Finley
2012 ◽  
Vol 72 (8) ◽  
pp. 645-650 ◽  
Author(s):  
Evangelos Vassos ◽  
Stacy Steinberg ◽  
Sven Cichon ◽  
Gerome Breen ◽  
Engilbert Sigurdsson ◽  
...  

Author(s):  
Suzanne T. Witt ◽  
Helene van Ettinger-Veenstra ◽  
Taylor Salo ◽  
Michael C. Riedel ◽  
Angela R. Laird

AbstractThe current state of label conventions used to describe brain networks related to executive functions is highly inconsistent, leading to confusion among researchers regarding network labels. Visually similar networks are referred to by different labels, yet these same labels are used to distinguish networks within studies. We performed a literature review of fMRI studies and identified nine frequently-used labels that are used to describe topographically or functionally similar neural networks: central executive network (CEN), cognitive control network (CCN), dorsal attention network (DAN), executive control network (ECN), executive network (EN), frontoparietal network (FPN), working memory network (WMN), task positive network (TPN), and ventral attention network (VAN). Our aim was to meta-analytically determine consistency of network topography within and across these labels. We hypothesized finding considerable overlap in the spatial topography among the neural networks associated with these labels. An image-based meta-analysis was performed on 166 individual statistical maps (SPMs) received from authors of 72 papers listed on PubMed. Our results indicated that there was very little consistency in the SPMs labeled with a given network name. We identified four clusters of SPMs representing four spatially distinct executive function networks. We provide recommendations regarding label nomenclature and propose that authors looking to assign labels to executive function networks adopt this template set for labeling networks.


PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e76252 ◽  
Author(s):  
Xuzai Lu ◽  
Juntao Ke ◽  
Xia Luo ◽  
Yaowu Zhu ◽  
Li Zou ◽  
...  

2013 ◽  
Vol 34 (2) ◽  
pp. 632-633 ◽  
Author(s):  
Stefania Mariani ◽  
Mariacarla Ventriglia ◽  
Ilaria Simonelli ◽  
Silvia Donno ◽  
Serena Bucossi ◽  
...  

2008 ◽  
Vol 68 (2) ◽  
pp. 253-256 ◽  
Author(s):  
B Rueda ◽  
J Broen ◽  
O Torres ◽  
C Simeon ◽  
N Ortego-Centeno ◽  
...  

Objectives:Multiple studies indicate the role of the interleukin (IL)-17/IL-23 axis in autoimmune diseases, including systemic sclerosis (SSc). The aim of the current study was to investigate the possible implication of the IL23R gene in SSc susceptibility and/or clinical phenotype.Methods:An initial case–control study in 143 Dutch patients with SSc and geographically matched healthy individuals (n = 246) was carried out and followed by a replication study in a cohort of 365 Spanish patients with SSc and 515 healthy individuals. Seven single nucleotide polymorphisms (SNPs) spanning the IL23R gene were selected and genotyped using a Taqman assay.Results:Using a Dutch cohort of patients with SSc and controls we observed an association between two (rs11209032, rs1495965) of the seven tested SNPs and disease susceptibility (allelic p values: p = 0.02 and p = 0.01 respectively). However, a replication study in an independent Spanish cohort did not confirm these findings and reveal no association of any of the IL23R-tested SNP with disease susceptibility or clinical phenotype. Similarly, a meta-analysis considering both populations did not reveal any significant association. In addition, no association was observed between IL23R genetic variants and SSc clinical phenotypes.Conclusions:Our results suggest that the IL23R gene is not associated with SSc susceptibility or clinical phenotype.


2013 ◽  
Vol 74 (4) ◽  
pp. 433-438 ◽  
Author(s):  
Michael E. O’Callaghan ◽  
Alastair H. MacLennan ◽  
Gai L. McMichael ◽  
Eric A. Haan ◽  
Gustaaf A. Dekker

2010 ◽  
Vol 19 (7) ◽  
pp. 1379-1386 ◽  
Author(s):  
Andrés Ingason ◽  
Ina Giegling ◽  
Sven Cichon ◽  
Thomas Hansen ◽  
Henrik B. Rasmussen ◽  
...  

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