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      Forebrain neuroanatomy of the neonatal and juvenile dolphin ( T. truncatus and S. coeruloalba)

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          Abstract

          Knowledge of dolphin functional neuroanatomy mostly derives from post-mortem studies and non-invasive approaches (i.e., magnetic resonance imaging), due to limitations in experimentation on cetaceans. As a consequence the availability of well-preserved tissues for histology is scarce, and detailed histological analyses are referred mainly to adults. Here we studied the neonatal/juvenile brain in two species of dolphins, the bottlenose dolphin ( Tursiops truncatus) and the striped dolphin ( Stenella coeruleoalba), with special reference to forebrain regions. We analyzed cell density in subcortical nuclei, white/gray matter ratio, and myelination in selected regions at different anterior–posterior levels of the whole dolphin brain at different ages, to better define forebrain neuroanatomy and the developmental stage of the dolphin brain around birth. The analyses were extended to the periventricular germinal layer and the cerebellum, whose delayed genesis of the granule cell layer is a hallmark of postnatal development in the mammalian nervous system. Our results establish an atlas of the young dolphin forebrain and, on the basis of occurrence/absence of delayed neurogenic layers, confirm the stage of advanced brain maturation in these animals with respect to most terrestrial mammals.

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          White matter in learning, cognition and psychiatric disorders.

          White matter is the brain region underlying the gray matter cortex, composed of neuronal fibers coated with electrical insulation called myelin. Previously of interest in demyelinating diseases such as multiple sclerosis, myelin is attracting new interest as an unexpected contributor to a wide range of psychiatric disorders, including depression and schizophrenia. This is stimulating research into myelin involvement in normal cognitive function, learning and IQ. Myelination continues for decades in the human brain; it is modifiable by experience, and it affects information processing by regulating the velocity and synchrony of impulse conduction between distant cortical regions. Cell-culture studies have identified molecular mechanisms regulating myelination by electrical activity, and myelin also limits the critical period for learning through inhibitory proteins that suppress axon sprouting and synaptogenesis.
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            Corridors of Migrating Neurons in Human Brain and Their Decline during Infancy

            The subventricular zone (SVZ) of many adult non-human mammals generates large numbers of new neurons destined for the olfactory bulb (OB) 1–6 . Along the walls of the lateral ventricles, immature neuronal progeny migrate in tangentially-oriented chains that coalesce into a rostral migratory stream (RMS) connecting the SVZ to the OB. The adult human SVZ, in contrast, contains a hypocellular gap layer separating the ependymal lining from a periventricular ribbon of astrocytes 7 . Some of these SVZ astrocytes can function as neural stem cells in vitro, but their function in vivo remains controversial. An initial report finds few SVZ proliferating cells and rare migrating immature neurons in the RMS of adult humans 7 . In contrast, a subsequent study indicates robust proliferation and migration in the human SVZ and RMS 8,9 . Here, we find that the infant human SVZ and RMS contain an extensive corridor of migrating immature neurons before 18 months of age, but, contrary to previous reports 8 , this germinal activity subsides in older children and is nearly extinct by adulthood. Surprisingly, during this limited window of neurogenesis, not all new neurons in the human SVZ are destined for the OB – we describe a major migratory pathway that targets the prefrontal cortex in humans. Together, these findings reveal robust streams of tangentially migrating immature neurons in human early postnatal SVZ and cortex. These pathways represent potential targets of neurological injuries affecting neonates.
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              Modeling transformations of neurodevelopmental sequences across mammalian species.

              A general model of neural development is derived to fit 18 mammalian species, including humans, macaques, several rodent species, and six metatherian (marsupial) mammals. The goal of this work is to describe heterochronic changes in brain evolution within its basic developmental allometry, and provide an empirical basis to recognize equivalent maturational states across animals. The empirical data generating the model comprises 271 developmental events, including measures of initial neurogenesis, axon extension, establishment, and refinement of connectivity, as well as later events such as myelin formation, growth of brain volume, and early behavioral milestones, to the third year of human postnatal life. The progress of neural events across species is sufficiently predictable that a single model can be used to predict the timing of all events in all species, with a correlation of modeled values to empirical data of 0.9929. Each species' rate of progress through the event scale, described by a regression equation predicting duration of development in days, is highly correlated with adult brain size. Neural heterochrony can be seen in selective delay of retinogenesis in the cat, associated with greater numbers of rods in its retina, and delay of corticogenesis in all species but rodents and the rabbit, associated with relatively larger cortices in species with delay. Unexpectedly, precocial mammals (those unusually mature at birth) delay the onset of first neurogenesis but then progress rapidly through remaining developmental events.
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                Author and article information

                Contributors
                Journal
                Front Neuroanat
                Front Neuroanat
                Front. Neuroanat.
                Frontiers in Neuroanatomy
                Frontiers Media S.A.
                1662-5129
                06 November 2015
                2015
                : 9
                : 140
                Affiliations
                [1] 1Neuroscience Institute Cavalieri Ottolenghi, University of Turin Orbassano, Italy
                [2] 2Department of Veterinary Sciences, University of Turin Torino, Italy
                [3] 3Department of Comparative Biomedicine and Food Science, University of Padova Legnaro, Italy
                Author notes

                Edited by: James A. Bourne, Australian Regenerative Medicine Institute, Australia

                Reviewed by: Lutgarde Arckens, KU Leuven, Belgium; Mary Baldwin, University of California, Davis, USA

                *Correspondence: Luca Bonfanti, luca.bonfanti@ 123456unito.it ; Bruno Cozzi, bruno.cozzi@ 123456unipd.it
                Article
                10.3389/fnana.2015.00140
                4635206
                26594155
                873b4baa-f1f2-4d73-8f2b-2db168ea8f75
                Copyright © 2015 Parolisi, Peruffo, Messina, Panin, Montelli, Giurisato, Cozzi and Bonfanti.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 July 2015
                : 16 October 2015
                Page count
                Figures: 10, Tables: 6, Equations: 0, References: 63, Pages: 19, Words: 0
                Funding
                Funded by: Fondazione CRT (Bando Ricerca e Istruzione 2014) 10.13039/100007364
                Award ID: 2014.1161
                Categories
                Neuroanatomy
                Original Research

                Neurosciences
                bottlenose dolphin,striped dolphin,postnatal brain development,striatum,thalamus,cerebellum,lateral ventricle,germinative layers

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