scholarly journals Enhancing motor learning by increasing the stability of newly formed dendritic spines in the motor cortex

Neuron ◽  
2021 ◽  
Author(s):  
Eddy Albarran ◽  
Aram Raissi ◽  
Omar Jáidar ◽  
Carla J. Shatz ◽  
Jun B. Ding
2020 ◽  
Vol 14 ◽  
Author(s):  
Lianyan Huang ◽  
Hang Zhou ◽  
Kai Chen ◽  
Xiao Chen ◽  
Guang Yang

Aging is accompanied by a progressive decrease in learning and memory function. Synaptic loss, one of the hallmarks of normal aging, likely plays an important role in age-related cognitive decline. But little is known about the impact of advanced age on synaptic plasticity and neuronal function in vivo. In this study, we examined the structural dynamics of postsynaptic dendritic spines as well as calcium activity of layer 5 pyramidal neurons in the cerebral cortex of young and old mice. Using transcranial two-photon microscopy, we found that in both sensory and motor cortices, the elimination rates of dendritic spines were comparable between young (3–5 months) and mature adults (8–10 months), but seemed higher in old mice (>20 months), contributing to a reduction of total spine number in the old brain. During the process of motor learning, old mice compared to young mice had fewer new spines formed in the primary motor cortex. Motor training-evoked somatic calcium activity in layer 5 pyramidal neurons of the motor cortex was also lower in old than young mice, which was associated with the decline of motor learning ability during aging. Together, these results demonstrate the effects of aging on learning-dependent synapse remodeling and neuronal activity in the living cortex and suggest that synaptic deficits may contribute to age-related learning impairment.


2021 ◽  
Author(s):  
Eddy Albarran ◽  
Aram Raissi ◽  
Omar Jáidar ◽  
Carla J. Shatz ◽  
Jun B. Ding

2020 ◽  
Vol 124 (5) ◽  
pp. 1327-1342
Author(s):  
Zhengyu Ma ◽  
Haixin Liu ◽  
Takaki Komiyama ◽  
Ralf Wessel

The neural activity reorganizes throughout motor learning, but how this reorganization impacts the stability of network states is unclear. We used two-photon calcium imaging to investigate how the network states in layer 2/3 and layer 5 of forelimb motor and premotor cortex are modulated by motor learning. We show that motor cortex network states are layer-specific and constant regarding criticality during neural activity reorganization, and suggests that layer-specific constraints could be motivated by different functions.


2019 ◽  
Vol 696 ◽  
pp. 33-37 ◽  
Author(s):  
Ippei Nojima ◽  
Tatsunori Watanabe ◽  
Tomoya Gyoda ◽  
Hisato Sugata ◽  
Takashi Ikeda ◽  
...  

2019 ◽  
Author(s):  
Steffen B. E. Wolff ◽  
Raymond Ko ◽  
Bence P. Ölveczky

AbstractThe acquisition and execution of learned motor sequences are mediated by a distributed motor network, spanning cortical and subcortical brain areas. The sensorimotor striatum is an important cog in this network, yet how its two main inputs, from motor cortex and thalamus respectively, contribute to its role in motor learning and execution remains largely unknown. To address this, we trained rats in a task that produces highly stereotyped and idiosyncratic motor sequences. We found that motor cortical input to the sensorimotor striatum is critical for the learning process, but after the behaviors were consolidated, this corticostriatal pathway became dispensable. Functional silencing of striatal-projecting thalamic neurons, however, disrupted the execution of the learned motor sequences, causing rats to revert to behaviors produced early in learning and preventing them from re-learning the task. These results show that the sensorimotor striatum is a conduit through which motor cortical inputs can drive experience-dependent changes in subcortical motor circuits, likely at thalamostriatal synapses.


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