Literature DB >> 32997569

Online control of reach accuracy in mice.

Matthew I Becker1,2, Dylan J Calame1,2, Julia Wrobel3, Abigail L Person4.   

Abstract

Reaching movements, as a basic yet complex motor behavior, are a foundational model system in neuroscience. In particular, there has been a significant recent expansion of investigation into the neural circuit mechanisms of reach behavior in mice. Nevertheless, quantification of mouse reach kinematics remains lacking, limiting comparison to the primate literature. In this study, we quantitatively demonstrate the homology of mouse reach kinematics to primate reach and also discover novel late-phase correlational structure that implies online control. Overall, our results highlight the decelerative phase of reach as important in driving successful outcome. Specifically, we develop and implement a novel statistical machine-learning algorithm to identify kinematic features associated with successful reaches and find that late-phase kinematics are most predictive of outcome, signifying online reach control as opposed to preplanning. Moreover, we identify and characterize late-phase kinematic adjustments that are yoked to midflight position and velocity of the limb, allowing for dynamic correction of initial variability, with head-fixed reaches being less dependent on position in comparison to freely behaving reaches. Furthermore, consecutive reaches exhibit positional error correction but not hot-handedness, implying opponent regulation of motor variability. Overall, our results establish foundational mouse reach kinematics in the context of neuroscientific investigation, characterizing mouse reach production as an active process that relies on dynamic online control mechanisms.NEW & NOTEWORTHY Mice use reaching movements to grasp and manipulate objects in their environment, similar to primates. To better establish mouse reach as a model for motor control, we implement several analytical frameworks, from basic kinematic relationships to statistical machine learning, to quantify mouse reach, finding many canonical features of primate reaches are conserved in mice, as well as evidence for midflight course corrections, expanding the utility of mouse reach paradigms for motor control studies.

Entities:  

Keywords:  deceleration; kinematics; motor control; mouse; reach

Year:  2020        PMID: 32997569      PMCID: PMC7814908          DOI: 10.1152/jn.00324.2020

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  71 in total

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Review 2.  Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.

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Review 5.  The bliss (not the problem) of motor abundance (not redundancy).

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Journal:  Exp Brain Res       Date:  2012-01-14       Impact factor: 1.972

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Journal:  J Neurophysiol       Date:  1991-03       Impact factor: 2.714

7.  Behaviorally Selective Engagement of Short-Latency Effector Pathways by Motor Cortex.

Authors:  Andrew Miri; Claire L Warriner; Jeffrey S Seely; Gamaleldin F Elsayed; John P Cunningham; Mark M Churchland; Thomas M Jessell
Journal:  Neuron       Date:  2017-07-20       Impact factor: 17.173

8.  The main sequence of saccades optimizes speed-accuracy trade-off.

Authors:  Christopher M Harris; Daniel M Wolpert
Journal:  Biol Cybern       Date:  2006-03-23       Impact factor: 2.086

9.  Skilled reaching relies on a V2a propriospinal internal copy circuit.

Authors:  Eiman Azim; Juan Jiang; Bror Alstermark; Thomas M Jessell
Journal:  Nature       Date:  2014-02-02       Impact factor: 49.962

10.  Directional Reaching for Water as a Cortex-Dependent Behavioral Framework for Mice.

Authors:  Gregorio Luis Galiñanes; Claudia Bonardi; Daniel Huber
Journal:  Cell Rep       Date:  2018-03-06       Impact factor: 9.423

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  2 in total

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Authors:  Krista Kernodle; Allison M Bakerian; Allison Cropsey; William T Dauer; Daniel K Leventhal
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Review 2.  New roles for dopamine in motor skill acquisition: lessons from primates, rodents, and songbirds.

Authors:  A N Wood
Journal:  J Neurophysiol       Date:  2021-05-12       Impact factor: 2.974

  2 in total

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