Literature DB >> 34482729

Neuroanatomy of the grey seal brain: bringing pinnipeds into the neurobiological study of vocal learning.

Nienke Hoeksema1,2, Laura Verga3,4, Janine Mengede1, Corné van Roessel1, Stella Villanueva5, Anna Salazar-Casals5, Ana Rubio-Garcia5, Branislava Ćurčić-Blake6, Sonja C Vernes1,7,8, Andrea Ravignani3,5.   

Abstract

Comparative animal studies of complex behavioural traits, and their neurobiological underpinnings, can increase our understanding of their evolution, including in humans. Vocal learning, a potential precursor to human speech, is one such trait. Mammalian vocal learning is under-studied: most research has either focused on vocal learning in songbirds or its absence in non-human primates. Here, we focus on a highly promising model species for the neurobiology of vocal learning: grey seals (Halichoerus grypus). We provide a neuroanatomical atlas (based on dissected brain slices and magnetic resonance images), a labelled MRI template, a three-dimensional model with volumetric measurements of brain regions, and histological cortical stainings. Four main features of the grey seal brain stand out: (i) it is relatively big and highly convoluted; (ii) it hosts a relatively large temporal lobe and cerebellum; (iii) the cortex is similar to that of humans in thickness and shows the expected six-layered mammalian structure; (iv) there is expression of FoxP2 present in deeper layers of the cortex; FoxP2 is a gene involved in motor learning, vocal learning, and spoken language. Our results could facilitate future studies targeting the neural and genetic underpinnings of mammalian vocal learning, thus bridging the research gap from songbirds to humans and non-human primates. Our findings are relevant not only to vocal learning research but also to the study of mammalian neurobiology and cognition more in general. This article is part of the theme issue 'Vocal learning in animals and humans'.

Entities:  

Keywords:  FoxP2; Halichoerus grypus; bioacoustics; comparative neuroanatomy; language evolution; magnetic resonance imaging

Mesh:

Year:  2021        PMID: 34482729      PMCID: PMC8419583          DOI: 10.1098/rstb.2020.0252

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  18 in total

1.  Age-related volumetric changes of brain gray and white matter in healthy infants and children.

Authors:  J Matsuzawa; M Matsui; T Konishi; K Noguchi; R C Gur; W Bilker; T Miyawaki
Journal:  Cereb Cortex       Date:  2001-04       Impact factor: 5.357

2.  Auditory cortex of the seal (Phoca vitulina).

Authors:  A M ALDERSON; E DIAMANTOPOULOS; C B DOWNMAN
Journal:  J Anat       Date:  1960-10       Impact factor: 2.610

3.  Relative volume of the cerebellum in dolphins and comparison with anthropoid primates.

Authors:  L Marino; J K Rilling; S K Lin; S H Ridgway
Journal:  Brain Behav Evol       Date:  2000-10       Impact factor: 1.808

4.  New and revised data on volumes of brain structures in insectivores and primates.

Authors:  H Stephan; H Frahm; G Baron
Journal:  Folia Primatol (Basel)       Date:  1981       Impact factor: 1.246

5.  Measuring the thickness of the human cerebral cortex from magnetic resonance images.

Authors:  B Fischl; A M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-26       Impact factor: 11.205

6.  Development of a morphometric magnetic resonance image parameter suitable for distinguishing between normal dogs and dogs with cerebellar atrophy.

Authors:  Ryan A Thames; Ian D Robertson; Thomas Flegel; Diana Henke; Dennis P O'Brien; Joan R Coates; Natasha J Olby
Journal:  Vet Radiol Ultrasound       Date:  2010 May-Jun       Impact factor: 1.363

7.  A subcortical circuit linking the cerebellum to the basal ganglia engaged in vocal learning.

Authors:  Ludivine Pidoux; Pascale Le Blanc; Carole Levenes; Arthur Leblois
Journal:  Elife       Date:  2018-07-25       Impact factor: 8.140

8.  In-vivo cortical thickness estimation from high-resolution T1w MRI scans in healthy and mucopolysaccharidosis affected dogs.

Authors:  Rene Labounek; Khoi Mai; Bryon Mueller; N Matthew Ellinwood; Patricia Dickson; Igor Nestrasil
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2019-07

9.  Connectivity and the search for specializations in the language-capable brain.

Authors:  Rogier B Mars; Nicole Eichert; Saad Jbabdi; Lennart Verhagen; Matthew Fs Rushworth
Journal:  Curr Opin Behav Sci       Date:  2018-06

10.  What Pinnipeds Have to Say about Human Speech, Music, and the Evolution of Rhythm.

Authors:  Andrea Ravignani; W Tecumseh Fitch; Frederike D Hanke; Tamara Heinrich; Bettina Hurgitsch; Sonja A Kotz; Constance Scharff; Angela S Stoeger; Bart de Boer
Journal:  Front Neurosci       Date:  2016-06-20       Impact factor: 4.677

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  3 in total

1.  Linking the genomic signatures of human beat synchronization and learned song in birds.

Authors:  Reyna L Gordon; Andrea Ravignani; Julia Hyland Bruno; Cristina M Robinson; Alyssa Scartozzi; Rebecca Embalabala; Maria Niarchou; Nancy J Cox; Nicole Creanza
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-08-23       Impact factor: 6.671

2.  Vocal learning in animals and humans.

Authors:  Sonja C Vernes; Vincent M Janik; W Tecumseh Fitch; Peter J B Slater
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-09-06       Impact factor: 6.237

3.  Vocal plasticity in harbour seal pups.

Authors:  Laura Torres Borda; Yannick Jadoul; Heikki Rasilo; Anna Salazar Casals; Andrea Ravignani
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-11-01       Impact factor: 6.237

  3 in total

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