Cephalopod Brains: An Overview of Current Knowledge to Facilitate Comparison With Vertebrates

Cephalopod and vertebrate neural-systems are often highlighted as a traditional example of convergent evolution. Their large brains, relative to body size, and complexity of sensory-motor systems and behavioral repertoires offer opportunities for comparative analysis. Despite various attempts, quest...

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Published inFrontiers in physiology Vol. 9; p. 952
Main Authors Shigeno, Shuichi, Andrews, Paul L R, Ponte, Giovanna, Fiorito, Graziano
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 20.07.2018
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Summary:Cephalopod and vertebrate neural-systems are often highlighted as a traditional example of convergent evolution. Their large brains, relative to body size, and complexity of sensory-motor systems and behavioral repertoires offer opportunities for comparative analysis. Despite various attempts, questions on how cephalopod 'brains' evolved and to what extent it is possible to identify a vertebrate-equivalence, assuming it exists, remain unanswered. Here, we summarize recent molecular, anatomical and developmental data to explore certain features in the neural organization of cephalopods and vertebrates to investigate to what extent an evolutionary convergence is likely. Furthermore, and based on whole body and brain axes as defined in early-stage embryos using the expression patterns of homeodomain-containing transcription factors and axonal tractography, we describe a critical analysis of cephalopod neural systems showing similarities to the cerebral cortex, thalamus, basal ganglia, midbrain, cerebellum, hypothalamus, brain stem, and spinal cord of vertebrates. Our overall aim is to promote and facilitate further, hypothesis-driven, studies of cephalopod neural systems evolution.
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This article was submitted to Invertebrate Physiology, a section of the journal Frontiers in Physiology
Edited by: Fernando Ariel Genta, Fundação Oswaldo Cruz (Fiocruz), Brazil
Present address: Shuichi Shigeno, Biosciences Division, Argonne National Laboratory, Argonne, IL, United States; Department of Neurobiology, The University of Chicago, Chicago, IL, United States
Reviewed by: Daniel Osorio, University of Sussex, United Kingdom; Euan Robert Brown, Heriot-Watt University, United Kingdom
ISSN:1664-042X
1664-042X
DOI:10.3389/fphys.2018.00952