Literature DB >> 20506182

Bimodal septal and cortical triggering and complex propagation patterns of spontaneous waves of activity in the developing mouse cerebral cortex.

Jay Conhaim1, Emily R Cedarbaum, Mitra Barahimi, Jennifer G Moore, Matthew I Becker, Helge Gleiss, Christine Kohl, William J Moody.   

Abstract

Spontaneous waves of activity that propagate across large structures during specific developmental stages play central roles in CNS development. To understand the genesis and functions of these waves, it is critical to understand the spatial and temporal patterns of their propagation. We recently reported that spontaneous waves in the neonatal cerebral cortex originate from a ventrolateral pacemaker region. We have now analyzed a large number of spontaneous waves using calcium imaging over the entire area of coronal slices from E18-P1 mouse brains. In all waves, the first cortical region active is this ventrolateral pacemaker. In half of the waves, however, the cortical pacemaker activity is itself triggered by preceding activity in the septal nuclei. Most waves are restricted to the septum and/or ventral cortex, with only some invading the dorsal cortex or the contralateral hemisphere. Waves fail to propagate at very stereotyped locations at the boundary between ventral and dorsal cortex and at the dorsal midline. Waves that cross these boundaries pause at these same locations. Waves at these stages are blocked by both picrotoxin and CNQX, indicating that both GABA(A) and AMPA receptors are involved in spontaneous activity.

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Year:  2010        PMID: 20506182     DOI: 10.1002/dneu.20797

Source DB:  PubMed          Journal:  Dev Neurobiol        ISSN: 1932-8451            Impact factor:   3.964


  15 in total

1.  Emergence of adaptive computation by single neurons in the developing cortex.

Authors:  Rebecca A Mease; Michael Famulare; Julijana Gjorgjieva; William J Moody; Adrienne L Fairhall
Journal:  J Neurosci       Date:  2013-07-24       Impact factor: 6.167

2.  Developmental changes in propagation patterns and transmitter dependence of waves of spontaneous activity in the mouse cerebral cortex.

Authors:  Jay Conhaim; Curtis R Easton; Matthew I Becker; Mitra Barahimi; Emily R Cedarbaum; Jennifer G Moore; Luke F Mather; Sarah Dabagh; Daniel J Minter; Samantha P Moen; William J Moody
Journal:  J Physiol       Date:  2011-03-28       Impact factor: 5.182

3.  GABA depolarizes immature neurons and inhibits network activity in the neonatal neocortex in vivo.

Authors:  Knut Kirmse; Michael Kummer; Yury Kovalchuk; Otto W Witte; Olga Garaschuk; Knut Holthoff
Journal:  Nat Commun       Date:  2015-07-16       Impact factor: 14.919

4.  Glutamatergic system controls synchronization of spontaneous neuronal activity in the murine neonatal entorhinal cortex.

Authors:  Petr Unichenko; Jeng-Wei Yang; Heiko J Luhmann; Sergei Kirischuk
Journal:  Pflugers Arch       Date:  2014-08-28       Impact factor: 3.657

5.  Genetic elimination of GABAergic neurotransmission reveals two distinct pacemakers for spontaneous waves of activity in the developing mouse cortex.

Authors:  Curtis R Easton; Keiko Weir; Adina Scott; Samantha P Moen; Zeke Barger; Albert Folch; Robert F Hevner; William J Moody
Journal:  J Neurosci       Date:  2014-03-12       Impact factor: 6.167

Review 6.  Modeling developmental patterns of spontaneous activity.

Authors:  Julijana Gjorgjieva; Stephen J Eglen
Journal:  Curr Opin Neurobiol       Date:  2011-06-16       Impact factor: 6.627

Review 7.  Electrophysiological correlates of sleep homeostasis in freely behaving rats.

Authors:  Vladyslav V Vyazovskiy; Chiara Cirelli; Giulio Tononi
Journal:  Prog Brain Res       Date:  2011       Impact factor: 2.453

8.  A microfluidic microelectrode array for simultaneous electrophysiology, chemical stimulation, and imaging of brain slices.

Authors:  Adina Scott; Keiko Weir; Curtis Easton; Wilson Huynh; William J Moody; Albert Folch
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

9.  Refinement and Pattern Formation in Neural Circuits by the Interaction of Traveling Waves with Spike-Timing Dependent Plasticity.

Authors:  James E M Bennett; Wyeth Bair
Journal:  PLoS Comput Biol       Date:  2015-08-26       Impact factor: 4.475

10.  Homeostatic Activity-Dependent Tuning of Recurrent Networks for Robust Propagation of Activity.

Authors:  Julijana Gjorgjieva; Jan Felix Evers; Stephen J Eglen
Journal:  J Neurosci       Date:  2016-03-30       Impact factor: 6.167

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