The effects of aging and dopaminergic inhibition on large scale maze learning in rhesus monkeys

Author(s):  
Hui Huang ◽  
Bo Zhang ◽  
Suyue Zheng ◽  
Chuanyu Li ◽  
Xingen Zhu ◽  
...  
2012 ◽  
Vol 15 (3) ◽  
pp. 442-452 ◽  
Author(s):  
Thomas Espeseth ◽  
Andrea Christoforou ◽  
Astri J. Lundervold ◽  
Vidar M. Steen ◽  
Stephanie Le Hellard ◽  
...  

Data collection for the Norwegian Cognitive NeuroGenetics sample (NCNG) was initiated in 2003 with a research grant (to Ivar Reinvang) to study cognitive aging, brain function, and genetic risk factors. The original focus was on the effects of aging (from middle age and up) and candidate genes (e.g., APOE, CHRNA4) in cross-sectional and longitudinal designs, with the cognitive and MRI-based data primarily being used for this purpose. However, as the main topic of the project broadened from cognitive aging to imaging and cognitive genetics more generally, the sample size, age range of the participants, and scope of available phenotypes and genotypes, have developed beyond the initial project. In 2009, a genome-wide association (GWA) study was undertaken, and the NCNG proper was established to study the genetics of cognitive and brain function more comprehensively. The NCNG is now controlled by the NCNG Study Group, which consists of the present authors. Prominent features of the NCNG are the adult life-span coverage of healthy participants with high-dimensional imaging, and cognitive data from a genetically homogenous sample. Another unique property is the large-scale (sample size 300–700) use of experimental cognitive tasks focusing on attention and working memory. The NCNG data is now used in numerous ongoing GWA-based studies and has contributed to several international consortia on imaging and cognitive genetics. The objective of the following presentation is to give other researchers the information necessary to evaluate possible contributions from the NCNG to various multi-sample data analyses.


2012 ◽  
Vol 1470 ◽  
pp. 17-23 ◽  
Author(s):  
Zhen Liang ◽  
Hongxin Li ◽  
Yun Yang ◽  
Guangxing Li ◽  
Yong Tang ◽  
...  

2008 ◽  
Vol 47 (4) ◽  
pp. 209-214 ◽  
Author(s):  
Cynthia G. Fowler ◽  
Kirstin Beach Chiasson ◽  
Dianna Brown Hart ◽  
T. Mark Beasley ◽  
Joseph Kemnitz ◽  
...  

2010 ◽  
Vol 261 (1-2) ◽  
pp. 75-81 ◽  
Author(s):  
Cynthia G. Fowler ◽  
Kirstin Beach Chiasson ◽  
Tami Hanson Leslie ◽  
Denise Thomas ◽  
T. Mark Beasley ◽  
...  

2014 ◽  
Vol 11 (6) ◽  
pp. 670-676 ◽  
Author(s):  
David A Schwarz ◽  
Mikhail A Lebedev ◽  
Timothy L Hanson ◽  
Dragan F Dimitrov ◽  
Gary Lehew ◽  
...  

2020 ◽  
Vol 158 ◽  
pp. 03004
Author(s):  
Meng Yang ◽  
Yan Yuxin ◽  
Jiang Peng ◽  
Wu Xinyun ◽  
Sun Cheng-gong ◽  
...  

In an effort to reduce the overall energy penalty and capital expenditure associated with carbon capture technologies, a variety of porous solid adsorbents have been developed. The limitations of solid sorbent in large-scale process are related to its CO2 uptake, physicochemical stability, lifecycle, regenerability and operation condition. In this paper, siliceous foam materials were synthesized via a modified microemulsion templating method and functionalized with branched polyethylenimine (PEI). The physical characteristics of synthesized silica adsorbents under different aging conditions were analysed via N2 sorption analysis and Scanned Electron Microscopy (SEM) morphological analysis. CO2 uptake was evaluated by thermogravimetric analyser (TGA). The results show that CO2 uptake is desirable even under low CO2 partial pressure and is predictable with multiple linear regression (MLR) model in the range of examined materials.


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