Literature DB >> 31184589

Transitioning between preparatory and precisely sequenced neuronal activity in production of a skilled behavior.

Vamsi K Daliparthi1, Ryosuke O Tachibana2,3, Brenton G Cooper4, Richard Hr Hahnloser3,5, Satoshi Kojima6, Samuel J Sober7, Todd F Roberts1.   

Abstract

Precise neural sequences are associated with the production of well-learned skilled behaviors. Yet, how neural sequences arise in the brain remains unclear. In songbirds, premotor projection neurons in the cortical song nucleus HVC are necessary for producing learned song and exhibit precise sequential activity during singing. Using cell-type specific calcium imaging we identify populations of HVC premotor neurons associated with the beginning and ending of singing-related neural sequences. We characterize neurons that bookend singing-related sequences and neuronal populations that transition from sparse preparatory activity prior to song to precise neural sequences during singing. Recordings from downstream premotor neurons or the respiratory system suggest that pre-song activity may be involved in motor preparation to sing. These findings reveal population mechanisms associated with moving from non-vocal to vocal behavioral states and suggest that precise neural sequences begin and end as part of orchestrated activity across functionally diverse populations of cortical premotor neurons.
© 2019, Daliparthi et al.

Entities:  

Keywords:  HVC; motor control; motor planning; neuronal sequences; neuroscience; songbird; vocalization

Mesh:

Substances:

Year:  2019        PMID: 31184589      PMCID: PMC6592689          DOI: 10.7554/eLife.43732

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  95 in total

1.  The neuromuscular control of birdsong.

Authors:  R A Suthers; F Goller; C Pytte
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-05-29       Impact factor: 6.237

2.  Targeted neuronal death affects neuronal replacement and vocal behavior in adult songbirds.

Authors:  C Scharff; J R Kirn; M Grossman; J D Macklis; F Nottebohm
Journal:  Neuron       Date:  2000-02       Impact factor: 17.173

3.  New brain pathways found in the vocal control system of a songbird.

Authors:  Eugene Akutagawa; Masakazu Konishi
Journal:  J Comp Neurol       Date:  2010-08-01       Impact factor: 3.215

4.  Brainstem and forebrain contributions to the generation of learned motor behaviors for song.

Authors:  Robin C Ashmore; J Martin Wild; Marc F Schmidt
Journal:  J Neurosci       Date:  2005-09-14       Impact factor: 6.167

5.  A motor cortex circuit for motor planning and movement.

Authors:  Nuo Li; Tsai-Wen Chen; Zengcai V Guo; Charles R Gerfen; Karel Svoboda
Journal:  Nature       Date:  2015-02-25       Impact factor: 49.962

6.  Neuronal control of bird song production.

Authors:  J S McCasland
Journal:  J Neurosci       Date:  1987-01       Impact factor: 6.167

7.  Recurrent interactions between the input and output of a songbird cortico-basal ganglia pathway are implicated in vocal sequence variability.

Authors:  Kosuke Hamaguchi; Richard Mooney
Journal:  J Neurosci       Date:  2012-08-22       Impact factor: 6.167

8.  Motor circuits are required to encode a sensory model for imitative learning.

Authors:  Todd F Roberts; Sharon M H Gobes; Malavika Murugan; Bence P Ölveczky; Richard Mooney
Journal:  Nat Neurosci       Date:  2012-09-16       Impact factor: 24.884

9.  A Neural Code That Is Isometric to Vocal Output and Correlates with Its Sensory Consequences.

Authors:  Alexei L Vyssotski; Anna E Stepien; Georg B Keller; Richard H R Hahnloser
Journal:  PLoS Biol       Date:  2016-10-10       Impact factor: 8.029

10.  Elemental gesture dynamics are encoded by song premotor cortical neurons.

Authors:  Ana Amador; Yonatan Sanz Perl; Gabriel B Mindlin; Daniel Margoliash
Journal:  Nature       Date:  2013-02-27       Impact factor: 49.962

View more
  7 in total

1.  Manipulations of inhibition in cortical circuitry differentially affect spectral and temporal features of Bengalese finch song.

Authors:  Gaurav R Isola; Anca Vochin; Jon T Sakata
Journal:  J Neurophysiol       Date:  2020-01-22       Impact factor: 2.714

Review 2.  The neurobiology of innate and learned vocalizations in rodents and songbirds.

Authors:  Richard Mooney
Journal:  Curr Opin Neurobiol       Date:  2020-02-18       Impact factor: 6.627

Review 3.  Intrinsic plasticity and birdsong learning.

Authors:  Arij Daou; Daniel Margoliash
Journal:  Neurobiol Learn Mem       Date:  2021-02-22       Impact factor: 2.877

4.  What Is the Role of Thalamostriatal Circuits in Learning Vocal Sequences?

Authors:  Lei Xiao; Todd F Roberts
Journal:  Front Neural Circuits       Date:  2021-09-22       Impact factor: 3.492

5.  Local field potentials in a pre-motor region predict learned vocal sequences.

Authors:  Daril E Brown; Jairo I Chavez; Derek H Nguyen; Adam Kadwory; Bradley Voytek; Ezequiel M Arneodo; Timothy Q Gentner; Vikash Gilja
Journal:  PLoS Comput Biol       Date:  2021-09-23       Impact factor: 4.475

6.  Fast Retrograde Access to Projection Neuron Circuits Underlying Vocal Learning in Songbirds.

Authors:  Daniel N Düring; Falk Dittrich; Mariana D Rocha; Ryosuke O Tachibana; Chihiro Mori; Kazuo Okanoya; Roman Boehringer; Benjamin Ehret; Benjamin F Grewe; Stefan Gerber; Shouwen Ma; Melanie Rauch; Jean-Charles Paterna; Robert Kasper; Manfred Gahr; Richard H R Hahnloser
Journal:  Cell Rep       Date:  2020-11-10       Impact factor: 9.423

7.  Miniature microscopes for manipulating and recording in vivo brain activity.

Authors:  Alice M Stamatakis; Shanna L Resendez; Kai-Siang Chen; Morgana Favero; Jing Liang-Guallpa; Jonathan J Nassi; Shay Q Neufeld; Koen Visscher; Kunal K Ghosh
Journal:  Microscopy (Oxf)       Date:  2021-10-05       Impact factor: 1.571

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.