ICM GH Pitié Salpetrière
Paris, 75651, France
NCT Number: NCT02073630
Dystonia, a disabling disease with uncontrolled movement disorders was considered to be a manifestation of basal ganglia dysfunction, yet there is accumulating evidence from animal and human experiments that the cerebellum plays a prominent role in the pathophysiology of dystonia. Our recent results suggest a deficient cerebellar sensory encoding in dystonia, resulting in a decoupling of the motor component from the afferent information flow resulting from changes in the environment. An overall loss of gabaergic-mediated inhibition is at the forefront in dynamic changes in neural circuitry described in dystonia. In the mature brain gabaergic control the generation of temporal synchronies and oscillations in the glutamatergic neurons. Taken these all together with the results of a pilot experiment, the investigators hypothesize that deficient synchronies in the fast gamma range are one of the key mechanisms leading to abnormal communication inside the cerebello-cortical network in dystonia. The investigators aim first to demonstrate it by means of MEG (Magneto encepholography) recordings allowing to reconstruct the spatio-temporal dynamics of gamma oscillations in the nodes of the cerebello-cortical network. The investigators then aim to re-establish (if lost) or boost (if decreased) the defective synchronies by applying to the cerebellum at high gamma frequency a non invasive transcranial alternative current stimulation.
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Notify Me18 year–70 year
All sexes
Interventional
Not applicable
Paris, 75651, France
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: measures will be done at each of 3 visits: visit1, visit2 at expected average 7 days after visit1 and visit3 at expected average 14 days after visit1
MEG recording will be performed using a whole-head 306-channels MEG system (Elekta Neuromag® TriuxTM System) comprising 204 planar gradiometers and 102 magnetometers regularly distributed at 102 locations over the scalp. MEG data will be coregistered with the structural MRI of each subject using BrainStorm (http://neuroimage.usc.edu/brainstorm).
The localization of the source will be constrained with the individual anatomy obtained with MRI.
Time frame: measures will be done at each of 3 visits: visit1, visit2 at expected average 7 days after visit1 and visit3 at expected average 14 days after visit1
We will also conduct a functional connectivity analysis to assess the neuronal interactions between the cerebellum and the thalamus, the thalamus and the motor cortex by quantifying correlations between power envelopes. We will compute Pearson's linear correlation between the power envelopes from two different locations (between couples of magnetometers and couples of nodes at the source level).
Time frame: measures will be done at each of 3 visits: visit1, visit2 at expected average 7 days after visit1 and visit3 at expected average 14 days after visit1
Subjects will have to reach six different targets positioned on a half-circle and appearing in a predictable order on a computer screen by moving a amagnetic joystick with their right hand. During the direct condition, there will be a direct coupling between the joystick and the cursor position. During the indirect conditions, 4 different rotations between the joystick and the cursor positions will be introduced. During one session the shifts will be 10°, 30°, -20°, -40° and in the other session -10°, -30°, 20°, 40° in order to reduce possible skill transfer from the baseline session to the stimulation session. Indirect and direct trials will be randomized to avoid habituation and learning within a session. There will be 2 blocks of 160 trials. In each block, there will be 20 trials for each rotation and 80 trials of the direct condition
Institut National de la Santé Et de la Recherche Médicale, France
Other Gov
Contribution du Cervelet Dans l'Adaptation Sensori-motrice Via Les Oscillations Gamma : le Cas de la Dystonie
Acronym: GAMMA
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