scholarly journals Induction of BDNF Expression in Layer II/III and Layer V Neurons of the Motor Cortex Is Essential for Motor Learning

2020 ◽  
Vol 40 (33) ◽  
pp. 6289-6308 ◽  
Author(s):  
Thomas Andreska ◽  
Stefanie Rauskolb ◽  
Nina Schukraft ◽  
Patrick Lüningschrör ◽  
Manju Sasi ◽  
...  
Resuscitation ◽  
1997 ◽  
Vol 35 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Victor A Akulinin ◽  
Sergey S Stepanov ◽  
Valeriy V Semchenko ◽  
Pavel V Belichenko

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

2009 ◽  
Vol 102 (2) ◽  
pp. 1026-1039 ◽  
Author(s):  
W. S. Smith ◽  
E. E. Fetz

We investigated the synaptic interactions between neighboring motor cortex cells in monkeys generating isometric ramp-and-hold torques about the wrist. For pairs of cortical cells the response patterns were determined in response-aligned averages and their synaptic interactions were identified by cross-correlation histograms. Cross-correlograms were compiled for 215 cell pairs and 84 (39%) showed significant features. The most frequently found feature (65/84 = 77%) was a central peak, straddling the origin and representing a source of common synaptic input to both cells. One third of these also had superimposed lagged peaks, indicative of a serial excitatory connection. Pure lagged peaks and lagged troughs, indicative of serial excitatory or inhibitory linkages, respectively, both occurred in 5% of the correlograms with features. A central trough appeared in 13% of the correlograms. The magnitude of the synaptic linkage was measured as the normalized area of the correlogram feature. Plotting the strength of synaptic interaction against response similarity during alternating wrist torques revealed a positive relationship for the correlated cell pairs. A linear fit yielded a positive slope: the pairs with excitatory interactions tended to covary more often than countervary. This linear fit had a positive offset, reflecting a tendency for both covarying and countervarying cells to have excitatory common input. Plotting the cortical location of the cell pairs showed that the strongest interactions occurred between cells separated by <400 microns. The correlational linkages between cells of different cortical layers showed a large proportion of common input to cells in layer V.


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.


2014 ◽  
Vol 34 (26) ◽  
pp. 8685-8698 ◽  
Author(s):  
A. Zemmar ◽  
O. Weinmann ◽  
Y. Kellner ◽  
X. Yu ◽  
R. Vicente ◽  
...  

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