Literature DB >> 15313775

Bilateral control and interhemispheric coordination in the avian song motor system.

Marc F Schmidt1, Robin C Ashmore, Eric T Vu.   

Abstract

Birdsong is a complex learned motor behavior controlled by an interconnected network of vocal control nuclei that are present in both cerebral hemispheres. Unilateral lesions of song nuclei in the left or the right hemisphere result in different effects on song structure, suggesting that normal song output results from the activation of two parallel but functionally different motor pathways. Because each syringeal half is innervated primarily by ipsilateral motor structures and activity in both halves is tightly coordinated during singing, motor commands originating from both hemispheres must be tightly coordinated to produce the appropriate vocal output. This coordination occurs despite the absence of direct interhemispheric connections between song control nuclei. In this article, we discuss how motor commands in nucleus HVC, a key forebrain song control region, are coordinated by precisely timed inputs that act to synchronize premotor activity in both hemispheres. Synchronizing inputs are tightly linked to syllable and note onset, which suggests that bilaterally organized circuits in the midbrain or brainstem act in specifying higher-order song features, such as duration, order, and possibly even structure of individual song syllables. The challenge ahead lies in identifying the networks that generate the synchronizing timing inputs and to determine how these inputs specify the motor commands in HVC. Resolving these issues will help us gain a better understanding of how pattern-generating networks in the midbrain/brainstem interface with forebrain circuits to produce complex learned behaviors.

Mesh:

Year:  2004        PMID: 15313775     DOI: 10.1196/annals.1298.014

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  27 in total

1.  Two distinct modes of forebrain circuit dynamics underlie temporal patterning in the vocalizations of young songbirds.

Authors:  Dmitriy Aronov; Lena Veit; Jesse H Goldberg; Michale S Fee
Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

2.  Automatic reconstruction of physiological gestures used in a model of birdsong production.

Authors:  Santiago Boari; Yonatan Sanz Perl; Ana Amador; Daniel Margoliash; Gabriel B Mindlin
Journal:  J Neurophysiol       Date:  2015-09-16       Impact factor: 2.714

3.  Acute off-target effects of neural circuit manipulations.

Authors:  Timothy M Otchy; Steffen B E Wolff; Juliana Y Rhee; Cengiz Pehlevan; Risa Kawai; Alexandre Kempf; Sharon M H Gobes; Bence P Ölveczky
Journal:  Nature       Date:  2015-12-09       Impact factor: 49.962

4.  A Distributed Recurrent Network Contributes to Temporally Precise Vocalizations.

Authors:  Kosuke Hamaguchi; Masashi Tanaka; Richard Mooney
Journal:  Neuron       Date:  2016-07-07       Impact factor: 17.173

5.  HVC neural sleep activity increases with development and parallels nightly changes in song behavior.

Authors:  Shane R Crandall; Murtaza Adam; Amanda K Kinnischtzke; Teresa A Nick
Journal:  J Neurophysiol       Date:  2007-04-11       Impact factor: 2.714

6.  Bottom-up activation of the vocal motor forebrain by the respiratory brainstem.

Authors:  Robin C Ashmore; Jessica A Renk; Marc F Schmidt
Journal:  J Neurosci       Date:  2008-03-05       Impact factor: 6.167

7.  Neuronal synchrony: peculiarity and generality.

Authors:  Thomas Nowotny; Ramon Huerta; Mikhail I Rabinovich
Journal:  Chaos       Date:  2008-09       Impact factor: 3.642

Review 8.  Pontine mechanisms of respiratory control.

Authors:  Mathias Dutschmann; Thomas E Dick
Journal:  Compr Physiol       Date:  2012-10       Impact factor: 9.090

9.  Using temperature to analyse temporal dynamics in the songbird motor pathway.

Authors:  Michael A Long; Michale S Fee
Journal:  Nature       Date:  2008-11-13       Impact factor: 49.962

10.  Sexual dimorphism of the zebra finch syrinx indicates adaptation for high fundamental frequencies in males.

Authors:  Tobias Riede; John H Fisher; Franz Goller
Journal:  PLoS One       Date:  2010-06-29       Impact factor: 3.240

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