Difference between revisions of "SOCR Data April2009 ID NI"
(New page: == SOCR Datasets - Neuroimaging study of Prefrontal Cortex Volume across Species and Tissue Types == ==Data Overview== [[Image:SOCR_Data_Dinov_June2008_NI.png|150px|thumb...) |
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* '''WM''' – white matter | * '''WM''' – white matter | ||
* '''SEM''' – standard error of the mean | * '''SEM''' – standard error of the mean | ||
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==Data: Total, GM and WM volumes of ICV and PFC across species== | ==Data: Total, GM and WM volumes of ICV and PFC across species== | ||
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== Data: Average percentage of cortical measure designated prefrontal== | == Data: Average percentage of cortical measure designated prefrontal== | ||
+ | {| class="wikitable" style="text-align:center;" border="2" | ||
+ | |- | ||
+ | ! || colspan=2|Total (mm3) || colspan=2|GM (mm3) || colspan=2| WM | ||
+ | |- | ||
+ | | || mean || SEM || mean || SEM || mean || SEM | ||
+ | |- | ||
+ | | '''Human''' || 12.97 || 0.3 || 14.4 || 0.3 || 10.9 || 0.4 | ||
+ | |- | ||
+ | | '''Bonobo''' || 9.30 || 0.3 || 11.9 || 0.4 || 6.8 || 0.4 | ||
+ | |- | ||
+ | | '''Chimpanzee''' || 10.91 || 0.8 || 14.1 || 1.1 || 8.3 || 0.7 | ||
+ | |- | ||
+ | | '''Gorilla''' || 10.68 || 0.5 || 13.7 || 0.8 || 8.3 || 0.2 | ||
+ | |- | ||
+ | | '''Orangutan''' || 10.13 || 0.6 || 14.1 || 0.5 || 7.5 || 0.6 | ||
+ | |- | ||
+ | | '''Gibbon''' || 9.55 || 0.7 || 12.3 || 1.2 || 6.9 || 0 | ||
+ | |- | ||
+ | | '''Mangabey''' || 7.99 || 0.6 || 9.8 || 0.7 || 6.2 || 0.8 | ||
+ | |- | ||
+ | | '''Baboon''' || 8.92 || 1.4 || 11.2 || 0.5 || 7.5 || 2 | ||
+ | |- | ||
+ | | '''Macaca''' || 7.98 || 0.6 || 8.8 || 0.3 || 7.3 || 0.9 | ||
+ | |- | ||
+ | | '''Capuchin''' || 9.96 || 0.1 || 11.4 || 0.5 || 8.6 || 0.2 | ||
+ | |- | ||
+ | | '''Squirrel''' (monkey) || 8.44 || 0.6 || 10.6 || 1 || 6.3 || 0.3 | ||
+ | |} | ||
== References== | == References== |
Revision as of 00:05, 10 April 2009
Contents
SOCR Datasets - Neuroimaging study of Prefrontal Cortex Volume across Species and Tissue Types
Data Overview
Neuroimaging MRI data from asymptomatic subjects was acquired to develop a structural brain atlas (Shattuck, et al., 2008). The raw data was processed in two different ways to test a research hypothesis that super-resolution image enhancement would improve automated volume parcellation. Thus, an automated volume parcelation (Tu, et al., 2008) was applied first to the raw data and then to the super-resolved enhanced volumes (Marquina and Osher, 2007). Two measures of quality of the automated volume parsing were used -- sensitivity and specificity.
Finally the results of the Sensitivity and Specificity measures were compared for the two analysis protocols -- applying the auto-volume parser directly to the native data (Standard method) and preprocesisng the native data with super-resolution enhancement (Super-Resolved) before using hte automated volume parser. Of interest was whether the second protocol (supre-resolved analysis) would produce more reliable, consistent and accurate automated volume tesselations, compared to the first protocol (standard method) where a super-resolution preprocessing was not applied.
Data Description
- ICV – intracranial volume
- PFC – prefrontal cortex
- GM – gray matter
- Total – total volume
- WM – white matter
- SEM – standard error of the mean
Data: Total, GM and WM volumes of ICV and PFC across species
Cerebrum ICV (mm3) | PFC (mm3) | % PFC/ICV | |||||
---|---|---|---|---|---|---|---|
Total | GM | WM | Total | GM | WM | ||
Human | 1,206,129 | 535,956 | 670,174 | 156,443 | 82,346 | 74,097 | 12.97067% |
Bonobo | 272,837 | 125,469 | 147,368 | 25,374 | 15,382 | 9,993 | 9.300058% |
Chimpanzee | 277,843 | 123,858 | 153,985 | 30,324 | 17,234 | 13,091 | 10.91408% |
Gorilla | 389,681 | 170,505 | 219,176 | 41,655 | 23,419 | 18,235 | 10.68951% |
Orangutan | 333,075 | 154,293 | 178,781 | 33,763 | 21,193 | 12,570 | 10.13676% |
Gibbon | 65,938 | 32,418 | 33,520 | 6,302 | 3,994 | 2,307 | 9.557463% |
Mangabey | 82,495 | 37,985 | 44,510 | 6,599 | 3,804 | 2,794 | 7.999273% |
Baboon | 130,600 | 58,615 | 71,985 | 11,660 | 6,530 | 5,130 | 8.928025% |
Macaca | 69,875 | 31,841 | 38,034 | 5,579 | 2,813 | 2,766 | 7.984258% |
Capuchin | 58,581 | 29,358 | 29,223 | 5,835 | 3,293 | 2,542 | 9.960567% |
Squirrel(monkey) | 21,542 | 9,785 | 11,756 | 1,820 | 1,094 | 727 | 8.448612% |
Data: Average percentage of cortical measure designated prefrontal
Total (mm3) | GM (mm3) | WM | ||||
---|---|---|---|---|---|---|
mean | SEM | mean | SEM | mean | SEM | |
Human | 12.97 | 0.3 | 14.4 | 0.3 | 10.9 | 0.4 |
Bonobo | 9.30 | 0.3 | 11.9 | 0.4 | 6.8 | 0.4 |
Chimpanzee | 10.91 | 0.8 | 14.1 | 1.1 | 8.3 | 0.7 |
Gorilla | 10.68 | 0.5 | 13.7 | 0.8 | 8.3 | 0.2 |
Orangutan | 10.13 | 0.6 | 14.1 | 0.5 | 7.5 | 0.6 |
Gibbon | 9.55 | 0.7 | 12.3 | 1.2 | 6.9 | 0 |
Mangabey | 7.99 | 0.6 | 9.8 | 0.7 | 6.2 | 0.8 |
Baboon | 8.92 | 1.4 | 11.2 | 0.5 | 7.5 | 2 |
Macaca | 7.98 | 0.6 | 8.8 | 0.3 | 7.3 | 0.9 |
Capuchin | 9.96 | 0.1 | 11.4 | 0.5 | 8.6 | 0.2 |
Squirrel (monkey) | 8.44 | 0.6 | 10.6 | 1 | 6.3 | 0.3 |
References
- Schoenemann, PT., Sheehan, MJ., Glotzer, DL. (2005) Prefrontal white matter volume is disproportionately larger in humans than in other primates. Nature Neuroscience, 8, 242–252. doi:10.1038/nn1394.
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