Remodeling markers are associated with larger intracortical surface area but smaller trabecular surface area: A twin study

Bone ◽  
2011 ◽  
Vol 49 (6) ◽  
pp. 1125-1130 ◽  
Author(s):  
Åshild Bjørnerem ◽  
Ali Ghasem-Zadeh ◽  
Minh Bui ◽  
Xiaofang Wang ◽  
Christian Rantzau ◽  
...  
Keyword(s):  
Surface Area ◽  
Twin Study ◽  
Trabecular Surface

Regional Cortical Surface Area in Adolescents: A Preliminary MRI Twin Study of Genetic and Environmental Contributions

2015 ◽  
Vol 46 (2) ◽  
pp. 205-216 ◽  
Author(s):  
Xingshun Ma ◽  
Lisa T. Eyler ◽  
Xiaomei Hu ◽  
Xiao Hou ◽  
Wei Deng ◽  
...  
Keyword(s):  
Surface Area ◽  
Twin Study ◽  
Cortical Surface ◽  
Cortical Surface Area

Poster #T51 BIRTH WEIGHT AND IQ ARE ASSOCIATED WITH ADULT CORTICAL SURFACE AREA: ADDITIONAL EVIDENCES BASED ON A TWIN STUDY

2014 ◽  
Vol 153 ◽  
pp. S307
Author(s):  
Aldo Córdova-Palomera ◽  
Silvia Alemany ◽  
Carles Falcón ◽  
Nuria Bargalló ◽  
Ximena Goldberg ◽  
...  
Keyword(s):  
Birth Weight ◽  
Surface Area ◽  
Twin Study ◽  
Cortical Surface ◽  
Cortical Surface Area

scholarly journals Genetic and Environmental Contributions to Regional Cortical Surface Area in Humans: A Magnetic Resonance Imaging Twin Study

2011 ◽  
Vol 21 (10) ◽  
pp. 2313-2321 ◽  
Author(s):  
Lisa T. Eyler ◽  
Elizabeth Prom-Wormley ◽  
Matthew S. Panizzon ◽  
Allison R. Kaup ◽  
Christine Fennema-Notestine ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Surface Area ◽  
Twin Study ◽  
Cortical Surface ◽  
Resonance Imaging ◽  
Cortical Surface Area

scholarly journals A Comparison of Heritability Maps of Cortical Surface Area and Thickness and the Influence of Adjustment for Whole Brain Measures: A Magnetic Resonance Imaging Twin Study

2012 ◽  
Vol 15 (3) ◽  
pp. 304-314 ◽  
Author(s):  
Lisa T. Eyler ◽  
Chi-Hua Chen ◽  
Matthew S. Panizzon ◽  
Christine Fennema-Notestine ◽  
Michael C. Neale ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Surface Area ◽  
Cortical Thickness ◽  
Brain Structure ◽  
Twin Study ◽  
Genetic Influences ◽  
Resonance Imaging ◽  
Area Measure ◽  
Regional Patterns

Understanding the genetic and environmental contributions to measures of brain structure such as surface area and cortical thickness is important for a better understanding of the nature of brain-behavior relationships and changes due to development or disease. Continuous spatial maps of genetic influences on these structural features can contribute to our understanding of regional patterns of heritability, since it remains to be seen whether genetic contributions to brain structure respect the boundaries of any traditional parcellation approaches. Using data from magnetic resonance imaging scans collected on a large sample of monozygotic and dizygotic twins in the Vietnam Era Twin Study of Aging, we created maps of the heritability of areal expansion (a vertex-based area measure) and cortical thickness and examined the degree to which these maps were affected by adjustment for total surface area and mean cortical thickness. We also compared the approach of estimating regional heritability based on the average heritability of vertices within the region to the more traditional region-of-interest (ROI)-based approach. The results suggested high heritability across the cortex for areal expansion and, to a slightly lesser degree, for cortical thickness. There was a great deal of genetic overlap between global and regional measures for surface area, so maps of region-specific genetic influences on surface area revealed more modest heritabilities. There was greater inter-regional variability in heritabilities when calculated using the traditional ROI-based approach compared to summarizing vertex-by-vertex heritabilities within regions. Discrepancies between the approaches were greatest in small regions and tended to be larger for surface area than for cortical thickness measures. Implications regarding brain phenotypes for future genetic association studies are discussed.

Preparation and characterisation of vanadium pentoxide supported rhodium catalyst

1988 ◽  
Vol 46 ◽  
pp. 946-947
Author(s):  
A. Legrouri
Keyword(s):  
Aqueous Solution ◽  
Thermal Decomposition ◽  
Physicochemical Properties ◽  
Surface Area ◽  
Vanadium Pentoxide ◽  
High Purity ◽  
Gas Adsorption ◽  
Rhodium Catalyst ◽  
Optical Methods ◽  
Reducible Oxides

The industrial importance of metal catalysts supported on reducible oxides has stimulated considerable interest during the last few years. This presentation reports on the study of the physicochemical properties of metallic rhodium supported on vanadium pentoxide (Rh/V2O5). Electron optical methods, in conjunction with other techniques, were used to characterise the catalyst before its use in the hydrogenolysis of butane; a reaction for which Rh metal is known to be among the most active catalysts.V2O5 powder was prepared by thermal decomposition of high purity ammonium metavanadate in air at 400 °C for 2 hours. Previous studies of the microstructure of this compound, by HREM, SEM and gas adsorption, showed it to be non— porous with a very low surface area of 6m2/g3. The metal loading of the catalyst used was lwt%Rh on V2Q5. It was prepared by wet impregnating the support with an aqueous solution of RhCI3.3H2O.

Cell morphology, volume, and surface area determinations from multilevel contouring within HVEM micrographs of serial sections and whole-cell mounts

1987 ◽  
Vol 45 ◽  
pp. 588-589
Author(s):  
M. Marko ◽  
A. Leith ◽  
D. Parsons
Keyword(s):  
Surface Area ◽  
Electron Micrographs ◽  
Cell Morphology ◽  
Individual Variation ◽  
Serial Section ◽  
Stereo Pair ◽  
Complex Structures ◽  
Serial Sections ◽  
Surface Areas ◽  
Computer Based

The use of serial sections and computer-based 3-D reconstruction techniques affords an opportunity not only to visualize the shape and distribution of the structures being studied, but also to determine their volumes and surface areas. Up until now, this has been done using serial ultrathin sections.The serial-section approach differs from the stereo logical methods of Weibel in that it is based on the Information from a set of single, complete cells (or organelles) rather than on a random 2-dimensional sampling of a population of cells. Because of this, it can more easily provide absolute values of volume and surface area, especially for highly-complex structures. It also allows study of individual variation among the cells, and study of structures which occur only infrequently.We have developed a system for 3-D reconstruction of objects from stereo-pair electron micrographs of thick specimens.

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