Pharmacological suppression of plastic changes in human primary somatosensory cortex after motor learning

2003 ◽  
Vol 148 (4) ◽  
pp. 525-532 ◽  
Author(s):  
Burkhard Pleger ◽  
Peter Schwenkreis ◽  
Hubert R. Dinse ◽  
Patrick Ragert ◽  
Oliver Höffken ◽  
...  
2006 ◽  
Vol 17 (9) ◽  
pp. 2134-2142 ◽  
Author(s):  
M. L. Stavrinou ◽  
S. Della Penna ◽  
V. Pizzella ◽  
K. Torquati ◽  
F. Cianflone ◽  
...  

2010 ◽  
Vol 93 (4) ◽  
pp. 532-539 ◽  
Author(s):  
E.D. Vidoni ◽  
N.E. Acerra ◽  
E. Dao ◽  
S.K. Meehan ◽  
L.A. Boyd

2016 ◽  
Vol 115 (4) ◽  
pp. 2095-2104 ◽  
Author(s):  
Dollyane Muret ◽  
Sébastien Daligault ◽  
Hubert R. Dinse ◽  
Claude Delpuech ◽  
Jérémie Mattout ◽  
...  

It is well established that permanent or transient reduction of somatosensory inputs, following hand deafferentation or anesthesia, induces plastic changes across the hand-face border, supposedly responsible for some altered perceptual phenomena such as tactile sensations being referred from the face to the phantom hand. It is also known that transient increase of hand somatosensory inputs, via repetitive somatosensory stimulation (RSS) at a fingertip, induces local somatosensory discriminative improvement accompanied by cortical representational changes in the primary somatosensory cortex (SI). We recently demonstrated that RSS at the tip of the right index finger induces similar training-independent perceptual learning across the hand-face border, improving somatosensory perception at the lips (Muret D, Dinse HR, Macchione S, Urquizar C, Farnè A, Reilly KT. Curr Biol 24: R736–R737, 2014). Whether neural plastic changes across the hand-face border accompany such remote and adaptive perceptual plasticity remains unknown. Here we used magnetoencephalography to investigate the electrophysiological correlates underlying RSS-induced behavioral changes across the hand-face border. The results highlight significant changes in dipole location after RSS both for the stimulated finger and for the lips. These findings reveal plastic changes that cross the hand-face border after an increase, instead of a decrease, in somatosensory inputs.


2001 ◽  
Vol 312 (2) ◽  
pp. 99-102 ◽  
Author(s):  
Peter Schwenkreis ◽  
Burkhard Pleger ◽  
Oliver Höffken ◽  
Jean-Pierre Malin ◽  
Martin Tegenthoff

2020 ◽  
Vol 12 ◽  
Author(s):  
Claudia Predel ◽  
Elisabeth Kaminski ◽  
Maike Hoff ◽  
Daniel Carius ◽  
Arno Villringer ◽  
...  

While in young adults (YAs) the underlying neural mechanisms of motor learning are well-studied, studies on the involvement of the somatosensory system during motor skill learning in older adults (OAs) remain sparse. Therefore, the aim of the present study was to investigate motor learning-induced neuroplasticity in the primary somatosensory cortex (S1) in YAs and OAs. Somatosensory evoked potentials (SEPs) were used to quantify somatosensory activation prior and immediately after motor skill learning in 20 right-handed healthy YAs (age range: 19–35 years) and OAs (age range: 57–76 years). Participants underwent a single session of a 30-min co-contraction task of the abductor pollicis brevis (APB) and deltoid muscle. To assess the effect of motor learning, muscle onset asynchrony (MOA) between the onsets of the contractions of both muscles was measured using electromyography monitoring. In both groups, MOA shortened significantly during motor learning, with YAs showing bigger reductions. No changes were found in SEP amplitudes after motor learning in both groups. However, a correlation analysis revealed an association between baseline SEP amplitudes of the N20/P25 and N30 SEP component and the motor learning slope in YAs such that higher amplitudes are related to higher learning. Hence, the present findings suggest that SEP amplitudes might serve as a predictor of individual motor learning success, at least in YAs. Additionally, our results suggest that OAs are still capable of learning complex motor tasks, showing the importance of motor training in higher age to remain an active part of our society as a prevention for care dependency.


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