Hominin Endocast Topography: an Analysis Using Geographic Information Systems
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HOMININ ENDOCAST TOPOGRAPHY: AN ANALYSIS USING GEOGRAPHIC INFORMATION SYSTEMS by Melissa Boas A Thesis Submitted to the Faculty of The College of Arts and Letters in Partial Fulfillment of the Requirements for the Degree of Master of Arts Florida Atlantic University Boca Raton, Florida December 2012 Copyright by Melissa Boas 2012 ii ACKNOWLEDGEMENTS I would like to thank everyone that assisted me in the writing of my Masters thesis. That includes everyone that contributed to the selection of my research topic, the research process, the writing, the data analysis, and the revision. I would like to first thank my advisor, Dr. Douglas Broadfield for directing me to such an interesting choice of methodology. I would also like to thank Dr. Ralph Holloway for letting me use his collection and for providing his insight on the topic. My other thesis committee members, Dr. Clifford Brown and Dr. Kate Detwiler, deserve thanks for their helpful critique of both my methodology and my writing. Dr. Charles Roberts and Professor James Gammack-Clark were excellent resources for my GIS questions. Dr. Delson graciously allowed me to use his 3D laser scanner and Claudia Astorino and the other NYCEP students taught me how to use it; I cannot thank them enough. Last, but not least, my friends and family provided me with the support needed to complete this research. Thank you Kendra Philmon and Brittany Burdelsky for being my writing partners. iv ABSTRACT Author: Melissa Boas Title: Hominin Endocast Topography: An Analysis Using Geographic Information Systems Institution: Florida Atlantic University Thesis Advisor: Dr. Douglas Broadfield Degree: Master of Arts Year: 2012 This study examined the topography of prefrontal molds of human endocasts using three-dimensional laser scanning and geographic information systems (GIS) in order to carry out intra-species comparisons. Overall brain topography can indicate when major reorganizational shifts in brain structure happened in our evolutionary history and these shifts may indicate major shifts in cognition and behavior. Endocasts are one of the sole sources of information about extinct hominin brains; they reproduce details of the brain’s external morphology. Analysis of endocast morphology has never been done using GIS methodology. The use of GIS helps to overcome previous obstacles in regards to endocast analysis. Since this methodology is new, this research focuses on only one species, Homo sapiens and the area of focus is narrowed to the frontal lobe, specifically Broca’s cap. This area is associated with speech in humans and is therefore of evolutionary significance. The variability in lateralization of this feature was quantified. v HOMININ ENDOCAST TOPOGRAPHY: AN ANALYSIS USING GEOGRAPHIC INFORMATION SYSTEMS TABLES ........................................................................................................................... vii FIGURES......................................................................................................................... viii I. BRAIN EVOLUTION..................................................................................................... 1 II. PREVIOUS METHODS.............................................................................................. 12 III. GEOGRAPHIC INFORMATION SYSTEMS (GIS)................................................. 18 IV. FRONTAL LOBE ...................................................................................................... 22 V. METHODS .................................................................................................................. 25 VI. RESULTS................................................................................................................... 29 VII. DISCUSSION AND CONCLUSIONS..................................................................... 41 APPENDIX A................................................................................................................... 43 APPENDIX B................................................................................................................... 46 LITERATURE CITED ..................................................................................................... 57 vi TABLES Table 1. Area and slope measurements ............................................................................ 30 Table 2. Left and right hemispheric area for Broca's cap ................................................. 31 Table 3. Left and right minimum slope values for Broca's cap ........................................ 32 Table 4. Left and right maximum slope values for Broca's cap ....................................... 33 Table 5. Left and right slope range values for Broca's cap................................................34 Table 6. Left and right mean slope values for Broca's cap................................................34 Table 7. Left and right slope standard deviations for Broca's cap.....................................35 vii FIGURES Figure 1. Paired t-test for left and right hemispheric area of Broca's cap......................... 36 Figure 2. Paired t-test for left and right minimum slope values for Broca's cap .............. 37 Figure 3. Paired t-test for left and right maximum slope values for Broca's cap.............. 38 Figure 4. Paired t-test for left and right slope range values for Broca's cap..................... 39 Figure 5. Paired t-test for left and right mean slope values for Broca's cap ..................... 40 Figure 6. Scan Studio scan screen with settings ............................................................... 43 Figure 7. Scan Studio screen showing the trim, align, and fuse selections ...................... 44 Figure 8. Excel sheet with xyz data points ....................................................................... 46 Figure 9. ArcMap screen showing the add data button .................................................... 47 Figure 10. ArcMap screen showing the display xy data option........................................ 47 Figure 11. Display xy data menu showing appropriate settings ....................................... 48 Figure 12. Export data dialogue box with appropriate settings displayed........................ 49 Figure 13. IDW dialogue box with correct specifications ................................................ 50 Figure 14. Screen showing how to deselect original data points and copy a layer .......... 51 Figure 15. ArcMap screen displaying hillshading ............................................................ 52 Figure 16. Slope dialogue box with correct specifications............................................... 53 Figure 17. New Shapefile dialogue box with correct specifications ................................ 54 Figure 18. ArcMap screen displaying Broca's cap layer .................................................. 55 Figure 19. Zonal Statistics as Table dialogue box with correct specifications................. 56 viii I. BRAIN EVOLUTION Advanced cognitive abilities are a defining characteristic of our species, Homo sapiens. However, discrete and tangible traits are often used to define human beings in order to set us apart from the rest of the animal kingdom and cognition is something that is too broad and vague. Some traits that are commonly discussed are bipedality, tool- making, and burial of the dead. Where as we are unique, at least in the primate order, in the form of locomotion we employ, this trait does not seem to address what really sets us apart. The hominin ability to create and use complex tools was long used as a metaphor for our advanced intelligence (Henshilwood et al., 2001; Klein, 2009; McNabb et al., 2004). This metaphor, however, lost some of its power when it came to light that other species are capable of tool production. Burial of the dead is also used as a marker of our advanced cognition (Belfer-Cohen & Hovers, 1992; Gargett et al., 1989; Hayden, 1993; Hovers et al., 2000; Noble, 1993; Rak et al., 1994). This human trait is used as a metaphor to show our advanced emotional state and capacity for symbolic knowledge. However, it has been shown that elephants also have death rituals, so this cannot truly be seen as a defining characteristic of our species and lineage (Bradshaw, 2004; Moss, 1992; Poole, 1996). These three traits have something else in common. They are all relatively easily recognized in the fossil and archeological record. The positioning of the foreman magnum and other morphological characteristics are indicative of bipedalism. Stone tools 1 found in association with fossil hominins indicate an early ability to create tools. Intentional burial sites, sometimes with grave goods, indicate burial practices. However, since brains do not fossilize, it is hard to track the evolution of the brain and cognition, so we are forced to extrapolate from evidence in the fossil and archaeological record. Certain findings like stone tools and intentional burials have behavioral implications; however, there are other ways to study the evolution of human cognition and behavior. Both paleoneurology and comparative studies can shed light on the topic. Brain evolutionary studies can be loosely broken down into two methodological types. The first involves comparative neuroanatomical studies of extant species and the second involves paleoneurology, the study of brain evolution through the use of the fossil record. The former is considered an indirect method whereas the latter is considered a direct method. Comparative work can be done