SOCR Data April2009 ID NI

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==Data Overview==
==Data Overview==
[[Image:SOCR_Data_Dinov_June2008_NI.png|150px|thumbnail|right| Neuroimaging Data ]]
[[Image:SOCR_Data_Dinov_June2008_NI.png|150px|thumbnail|right| Neuroimaging Data ]]
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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 -- [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | sensitivity and specificity]].
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The [http://en.wikipedia.org/wiki/Prefrontal_cortex prefrontal cortex] is the anterior part of the frontal lobes of the brain in front of the premotor areas. Prefrontal cortex includes cytoarchitectonic layer IV and includes three regions: orbitofrontal (OFC), dorsolateral prefrontal cortex (PFC), anterior and ventral cingulate cortex. Human brains are much distinct from the brains of other [http://en.wikipedia.org/wiki/Primate primates] and [http://en.wikipedia.org/wiki/Ape apes] specifically in the prefrontal cortex. These structural differences induce significant functional abilities which may account for the significant associating, planning and strategic thinking in humans, compared to other primates. The study below investigated the quantitative differences between the the PFC volumes across species and tissue types.
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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.  
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==Data Description==
==Data Description==

Revision as of 05:06, 10 April 2009

Contents

SOCR Datasets - Neuroimaging study of Prefrontal Cortex Volume across Species and Tissue Types

Data Overview

Neuroimaging Data

The prefrontal cortex is the anterior part of the frontal lobes of the brain in front of the premotor areas. Prefrontal cortex includes cytoarchitectonic layer IV and includes three regions: orbitofrontal (OFC), dorsolateral prefrontal cortex (PFC), anterior and ventral cingulate cortex. Human brains are much distinct from the brains of other primates and apes specifically in the prefrontal cortex. These structural differences induce significant functional abilities which may account for the significant associating, planning and strategic thinking in humans, compared to other primates. The study below investigated the quantitative differences between the the PFC volumes across species and tissue types.

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


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