
AbstractOur knowledge of human brain evolution primarily relies on the interpretation of palaeoneurological evidence. In this context, an endocast or replica of the inside of the bony braincase can be used to reconstruct a timeline of cerebral changes that occurred during human evolution, including changes in topographic extension and structural organisation of cortical areas. These changes can be tracked by identifying cerebral imprints, particularly cortical sulci. The description of these crucial landmarks in fossil endocasts is, however, challenging. High‐resolution imaging techniques in palaeoneurology offer new opportunities for tracking detailed endocranial neural characteristics. In this study, we use high‐resolution imaging techniques to document the variation in extant human endocranial sulcal patterns for subsequent use as a platform for comparison with the fossil record. We selected 20 extant human crania from the Pretoria Bone Collection (University of Pretoria, South Africa), which were detailed using X‐ray microtomography at a spatial resolution ranging from 94 to 123 μm (isometric). We used Endex to extract, and Matlab to analyse the cortical imprints on the endocasts. We consistently identified superior, middle and inferior sulci on the frontal lobe; and superior and inferior sulci on the temporal lobe. We were able to label sulci bordering critical functional areas such as Broca's cap. Mapping the sulcal patterns on extant endocasts is a prerequisite for constructing an atlas which can be used for automatic sulci recognition.
Sulci detection, SDG-03: Good health and well-being, 570, cerebral variation, brain cast, [SCCO]Cognitive science, Imaging, Three-Dimensional, human neuroanatomy, sulci detection, Image Processing, Computer-Assisted, Brain cast, Humans, Health sciences articles SDG-03, Fossils, [SCCO.NEUR]Cognitive science/Neuroscience, Cerebral variation, [SCCO.NEUR] Cognitive science/Neuroscience, Skull, Brain, Paleontology, [SCCO] Cognitive science, X-Ray Microtomography, Biological Evolution, Human neuroanatomy, Palaeoneurology, palaeoneurology, Software
Sulci detection, SDG-03: Good health and well-being, 570, cerebral variation, brain cast, [SCCO]Cognitive science, Imaging, Three-Dimensional, human neuroanatomy, sulci detection, Image Processing, Computer-Assisted, Brain cast, Humans, Health sciences articles SDG-03, Fossils, [SCCO.NEUR]Cognitive science/Neuroscience, Cerebral variation, [SCCO.NEUR] Cognitive science/Neuroscience, Skull, Brain, Paleontology, [SCCO] Cognitive science, X-Ray Microtomography, Biological Evolution, Human neuroanatomy, Palaeoneurology, palaeoneurology, Software
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