scholarly journals Corticostriatal dynamics encode the refinement of specific behavioral variability during skill learning

eLife ◽  
2015 ◽  
Vol 4 ◽  
Author(s):  
Fernando J Santos ◽  
Rodrigo F Oliveira ◽  
Xin Jin ◽  
Rui M Costa

Learning to perform a complex motor task requires the optimization of specific behavioral features to cope with task constraints. We show that when mice learn a novel motor paradigm they differentially refine specific behavioral features. Animals trained to perform progressively faster sequences of lever presses to obtain reinforcement reduced variability in sequence frequency, but increased variability in an orthogonal feature (sequence duration). Trial-to-trial variability of the activity of motor cortex and striatal projection neurons was higher early in training and subsequently decreased with learning, without changes in average firing rate. As training progressed, variability in corticostriatal activity became progressively more correlated with behavioral variability, but specifically with variability in frequency. Corticostriatal plasticity was required for the reduction in frequency variability, but not for variability in sequence duration. These data suggest that during motor learning corticostriatal dynamics encode the refinement of specific behavioral features that change the probability of obtaining outcomes.

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Stefan M Lemke ◽  
Dhakshin S Ramanathan ◽  
David Darevksy ◽  
Daniel Egert ◽  
Joshua D Berke ◽  
...  

The strength of cortical connectivity to the striatum influences the balance between behavioral variability and stability. Learning to consistently produce a skilled action requires plasticity in corticostriatal connectivity associated with repeated training of the action. However, it remains unknown whether such corticostriatal plasticity occurs during training itself or 'offline' during time away from training, such as sleep. Here, we monitor the corticostriatal network throughout long-term skill learning in rats and find that non-REM (NREM) sleep is a relevant period for corticostriatal plasticity. We first show that the offline activation of striatal NMDA receptors is required for skill learning. We then show that corticostriatal functional connectivity increases offline, coupled to emerging consistent skilled movements and coupled cross-area neural dynamics. We then identify NREM sleep spindles as uniquely poised to mediate corticostriatal plasticity, through interactions with slow oscillations. Our results provide evidence that sleep shapes cross-area coupling required for skill learning.


2001 ◽  
Vol 31 (6) ◽  
pp. 1079-1088 ◽  
Author(s):  
S. KODAMA ◽  
H. FUKUZAKO ◽  
T. FUKUZAKO ◽  
T. KIURA ◽  
S. NOZOE ◽  
...  

Background. Motor skill learning may be impaired in schizophrenia. While functional brain imaging studies have shown reduced activation during motor task performance in schizophrenic patients, brain activity changes with motor skill learning in these patients have not been studied by functional imaging.Methods. A sequential complex motor task involving the right hand was performed by nine medicated schizophrenic patients and 10 age-matched healthy controls. Functional magnetic resonance images were obtained using a gradient echo, echoplanar imaging (EPI) pulse sequence before and after 1 week of training in performing the task.Results. Bilaterally, patients showed significantly less blood oxygenation level-dependent (BOLD) signal response in the premotor area (PMA) before beginning motor training than controls. BOLD signal response increased in the left PMA of schizophrenic patients after 1 week of motor training; in contrast, the signal decreased in the left PMA of control subjects. Training effects concerning the number of finger movement sequences achieved did not differ between groups. Daily neuroleptic dose did not significantly affect changes with training in BOLD signal response in the PMA.Conclusions. These preliminary results suggest that schizophrenic patients have dysfunction of neural networks in areas including the PMA that are involved in executing a complex motor task. In terms of brain activity, motor learning may be less efficient or slower in the patients than in healthy subjects.


2007 ◽  
Author(s):  
Balazs Fugedi ◽  
Laszlo Toth ◽  
Jozsef Bognar ◽  
Salvara I. Marina ◽  
Laszlo Honfi

2008 ◽  
Vol 328 (3) ◽  
pp. 785-795 ◽  
Author(s):  
Sarah Threlfell ◽  
Stephen Sammut ◽  
Frank S. Menniti ◽  
Christopher J. Schmidt ◽  
Anthony R. West

2005 ◽  
Vol 20 (3) ◽  
pp. 907-917 ◽  
Author(s):  
Z. Sun ◽  
H.B. Wang ◽  
Y.P. Deng ◽  
W.L. Lei ◽  
J.P. Xie ◽  
...  

2001 ◽  
Vol 16 (4) ◽  
pp. 698-704 ◽  
Author(s):  
Ivan Rektor ◽  
Martin Bare? ◽  
Petr Ka?ovsk� ◽  
Miloslav Kukleta

2015 ◽  
Vol 221 (5) ◽  
pp. 2443-2458 ◽  
Author(s):  
Adnan A. S. Alahmadi ◽  
Rebecca S. Samson ◽  
David Gasston ◽  
Matteo Pardini ◽  
Karl J. Friston ◽  
...  

2009 ◽  
Vol 101 (6) ◽  
pp. 3235-3245 ◽  
Author(s):  
Cara M. Hampton ◽  
Jon T. Sakata ◽  
Michael S. Brainard

Behavioral variability is important for motor skill learning but continues to be present and actively regulated even in well-learned behaviors. In adult songbirds, two types of song variability can persist and are modulated by social context: variability in syllable structure and variability in syllable sequencing. The degree to which the control of both types of adult variability is shared or distinct remains unknown. The output of a basal ganglia-forebrain circuit, LMAN (the lateral magnocellular nucleus of the anterior nidopallium), has been implicated in song variability. For example, in adult zebra finches, neurons in LMAN actively control the variability of syllable structure. It is unclear, however, whether LMAN contributes to variability in adult syllable sequencing because sequence variability in adult zebra finch song is minimal. In contrast, Bengalese finches retain variability in both syllable structure and syllable sequencing into adulthood. We analyzed the effects of LMAN lesions on the variability of syllable structure and sequencing and on the social modulation of these forms of variability in adult Bengalese finches. We found that lesions of LMAN significantly reduced the variability of syllable structure but not of syllable sequencing. We also found that LMAN lesions eliminated the social modulation of the variability of syllable structure but did not detect significant effects on the modulation of sequence variability. These results show that LMAN contributes differentially to syllable versus sequence variability of adult song and suggest that these forms of variability are regulated by distinct neural pathways.


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