As the relevance of lizards in evolutionary neuroscience increases, so does the need for more accurate anatomical references. Moreover, the use of magnetic resonance imaging (MRI) in evolutionary neuroscience is becoming more widespread; this represents a fundamental methodological shift that opens new avenues of investigative possibility but also poses new challenges. Here, we aim to facilitate this shift by providing a three-dimensional segmentation atlas of the tawny dragon brain. The tawny dragon (Ctenophorus decresii) is an Australian lizard of increasing importance as a model system in ecology and, as a member of the agamid lizards, in evolution. Based on a consensus average 3D image generated from the MRIs of 13 male tawny dragon heads, we identify and segment 224 structures visible across the entire lizard brain. We describe the relevance of this atlas to the field of evolutionary neuroscience and propose further experiments for which this atlas can provide the foundation. This advance in defining lizard neuroanatomy will facilitate numerous studies in evolutionary neuroscience. The atlas is available for download as a supplementary material to this manuscript and through the Open Science Framework (OSF; https://doi.org/10.17605/OSF.IO/UJENQ ).
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http://dx.doi.org/10.1007/s00429-021-02282-z | DOI Listing |
Int J Mol Sci
December 2024
Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru 570015, Karnataka, India.
Sleep is a universally conserved behavior whose origin and evolutionary purpose are uncertain. Using phylogenomics, this article investigates the evolutionary foundations of sleep from a never before used perspective. More specifically, it identifies orthologs of human sleep-related genes in the Lokiarchaeota of the Asgard superphylum and examines their functional role.
View Article and Find Full Text PDFCortex
December 2024
Departments of Neurology and Nuclear Medicine, Hospital Clinico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Spain. Electronic address:
Background: This study aimed to evaluate the capacity of neuropsychological assessment to predict the regional brain metabolism in a cohort of patients with amnestic Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) using Machine Learning algorithms.
Methods: We included 360 subjects, consisting of 186 patients with AD, 87 with bvFTD, and 87 cognitively healthy controls. All participants underwent a neuropsychological assessment using the Addenbrooke's Cognitive Examination and the Neuronorma battery, in addition to [F]-fluorodeoxyglucose positron emission tomography (FDG-PET) imaging.
Neurosci Biobehav Rev
January 2025
Department of Psychology, University of Turin, Turin, Italy; Department of Medical and Clinical Psychology, Tilburg University, Netherlands; Centro Linceo Interdisciplinare "Beniamino Segre", Accademia Nazionale dei Lincei, Roma, Italy. Electronic address:
Fear responses to novel stimuli can be learned directly, through personal experiences (Fear Conditioning, FC), or indirectly, by observing conspecific reactions to a stimulus (Social Fear Learning, SFL). Although substantial knowledge exists about FC and SFL in humans and other species, they are typically conceived as mechanisms that engage separate neural networks and operate at different levels of complexity. Here, we propose a broader framework that links these two fear learning modes by supporting the view that social signals may act as unconditioned stimuli during SFL.
View Article and Find Full Text PDFNature
January 2025
Department of Stem Cell Biology and Regenerative Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA.
How novel structures emerge during evolution has long fascinated biologists. A dramatic example is how the diminutive bones of the mammalian middle ear arose from ancestral fish jawbones. In contrast, the evolutionary origin of the outer ear, another mammalian innovation, remains a mystery, in part because it is supported by non-mineralized elastic cartilage rarely recovered in fossils.
View Article and Find Full Text PDFJ Comp Neurol
January 2025
Department of Anatomy, Des Moines University, West Des Moines, Iowa, USA.
Paleoneurology reconstructs the evolutionary history of nervous systems through direct observations from the fossil record and comparative data from extant species. Although this approach can provide direct evidence of phylogenetic links among species, it is constrained by the availability and quality of data that can be gleaned from the fossil record. Here, we sought to translate brain component relationships in a sample of extant Carnivora to make inferences about brain structure in fossil species.
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