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dc.contributor.authorHoeksema, Nienke
dc.contributor.authorVerga, Laura
dc.contributor.authorMengede, Janine
dc.contributor.authorvan Roessel, Corné
dc.contributor.authorVillanueva, Stella
dc.contributor.authorSalazar-Casals, Anna
dc.contributor.authorRubio-Garcia, Ana
dc.contributor.authorĆurčić-Blake, Branislava
dc.contributor.authorVernes, Sonja C.
dc.contributor.authorRavignani, Andrea
dc.date.accessioned2021-09-22T11:30:06Z
dc.date.available2021-09-22T11:30:06Z
dc.date.issued2021-10-25
dc.identifier275773538
dc.identifier531f0d4a-e7fb-48f6-ae91-0d89b9b0c4a2
dc.identifier34482729
dc.identifier000693558500018
dc.identifier85115818830
dc.identifier.citationHoeksema , N , Verga , L , Mengede , J , van Roessel , C , Villanueva , S , Salazar-Casals , A , Rubio-Garcia , A , Ćurčić-Blake , B , Vernes , S C & Ravignani , A 2021 , ' Neuroanatomy of the grey seal brain : bringing pinnipeds into the neurobiological study of vocal learning ' , Philosophical Transactions of the Royal Society B: Biological Sciences , vol. 376 , no. 1836 , 20200252 . https://doi.org/10.1098/rstb.2020.0252en
dc.identifier.issn0962-8436
dc.identifier.otherRIS: urn:5D21B826CAB4C7FA4039AF0ED56CC702
dc.identifier.otherORCID: /0000-0003-0305-4584/work/99804766
dc.identifier.urihttps://hdl.handle.net/10023/23997
dc.descriptionN.H. is supported by funding from an International Max Planck Research School (IMPRS) for language sciences fellowship grant, and the work of N.H. and S.C.V. was supported by a Max Planck Research Group (MPRG) awarded to S.C.V. The work of L.V. and A.R. was supported by a Max Planck Research Group (MPRG) awarded to A.R. S.C.V. was also supported by a Human Frontiers Science Program (HFSP) Research grant (grant no. RGP0058/2016) and a UKRI Future Leaders Fellowship (grant no. MR/T021985/1).en
dc.description.abstractComparative 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.
dc.format.extent4
dc.format.extent236343
dc.language.isoeng
dc.relation.ispartofPhilosophical Transactions of the Royal Society B: Biological Sciencesen
dc.subjectComparative neuroanatomyen
dc.subjectMagnetic resonance imagingen
dc.subjectFoxP2en
dc.subjectLanguage evolutionen
dc.subjectBioacousticsen
dc.subjectHalichoerus grypusen
dc.subjectQH426 Geneticsen
dc.subjectQL Zoologyen
dc.subject3rd-DASen
dc.subjectACen
dc.subject.lccQH426en
dc.subject.lccQLen
dc.titleNeuroanatomy of the grey seal brain : bringing pinnipeds into the neurobiological study of vocal learningen
dc.typeJournal articleen
dc.contributor.sponsorUK Research and Innovationen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. St Andrews Bioinformatics Uniten
dc.identifier.doi10.1098/rstb.2020.0252
dc.description.statusPeer revieweden
dc.identifier.grantnumberMR/T021985/1en


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