Institut des Sciences Cognitives, Marc Jeannerod, UMR 5229 CNRS
Bron, 69500, France
NCT Number: NCT04727944
The whole body's voluntary movements are controlled by the brain. One of the brain areas most involved in controlling these voluntary movements is the motor cortex and it is often viewed as the primary 'output' region of the neocortex. Motor cortical activity in the beta frequency range (13-30Hz) is a hallmark signature of healthy and pathological movement, but its behavioral relevance remains unclear. Such uncertainty confounds the development of treatments for diseases of movement which are associated with pathophysiological beta activity, including Parkinson's, therefore furthering understanding on the behavioral significance of activity in this range is now vital. Recently, it has become apparent that oscillatory beta activity actually occurs in discrete transient bursts, and that the summation of short-lasting, high-powered bursts of activity only appear to be sustained oscillations when averaged over multiple trials.
In this study we will use neurophysiological and neuroimaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), and magnetic resonance imaging (MRI). All of these techniques have been identified as non-invasive techniques. By applying these methods, we will be able to analyze beta burst activity in order to determine how beta bursts influence naturalistic motor behavior.
This project also encompasses the study of auditory and motor interactions doing an experimental task.
The aim of the project is to get a better understanding of the role of motor-related beta activity during the preparation and generation of reach and grasp actions. These findings may inform novel treatments for pathophysiological disorders characterized by aberrant beta signaling, utilizing causal manipulation of the neural circuits implicated in the generation of beta activity. This project also has expected methodological repercussions. It will make it possible to validate the use of individualized head-casts worn during MEG acquisition for the study of the cortical control of naturalistic actions, and to create new analysis tools that allow an increase in the spatial resolution of MEG data.
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Notify Me18 year–40 year
All sexes
Interventional
Not applicable
Bron, 69500, France
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
For all experiments :
Exclusion criteria
For all experiments :
Subjects with characteristics incompatible with MEG/EEG and MRI :
For experiment 1:
Human participants will perform reach and grasp movements to various objects (e.g. a cube, sphere, or rod) driven either by perceived action affordances, or instruction cues. A rotating carousel will be used to present subjects with various objects affording different types of grasps (e.g. a precision pinch, a whole hand 'power' grasp, or a tripod grasp).
Prior to the experiment, subjects will be tested outside the scanner by asking them to grasp each object as they would naturally to ensure that each object elicits the expected grasp type. Subject-specific, 3D-printed head-casts will be created based on high resolution MRI scans from each subject, and worn by subjects during the MEG experiment (Experiment 1) to reduce within-session head movement associated with reaching and grasping.
At the end of this session an experimental task is added: detection of tons in presence of multitonal masks, in order to verify how beta peaks might be generated by a stimulus auditory.
Experiment 2 consists of a task of reaching for and grasping several objects (e.g. a cube, sphere, or rod) ; the task used for experiment 2 is the same as that used for experiment 1. EEG signals will be measured.
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Timing (ms, relative to motion onset) of beta bursts in motor cortex with MEGthan the one planned is cued and must be performed.
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Spatial location (mm, in a brain-centered reference frame) of beta bursts in motor cortex, measured with MEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Timing (ms, relative to motion onset) of beta bursts in motor cortex with EEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Spatial location (mm, in a brain-centered reference frame) of beta bursts in motor cortex, measured with EEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Timing (ms, relative to motion onset) of beta bursts in motor cortex with MEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Spatial location (mm, in a brain-centered reference frame) of beta bursts in motor cortex, measured with MEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Timing (ms, relative to motion onset) of beta bursts in motor cortex with EEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Spatial location (mm, in a brain-centered reference frame) of beta bursts in motor cortex, measured with EEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Beta amplitude (fT) in motor cortex, measured with MEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years
Beta amplitude (μV) in motor cortex, measured with EEG
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years.
Multivariate machine learning models which are able to predict the trajectory of arm and hand kinematics from the spatiotemporal pattern of beta bursts in motor cortex.
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years.
Movement (mm) of fiducial locations of the head-cast relative to the MEG sensors
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years.
Comparison of synchronization, localization and waveform of beta peaks in the motor cortex in response ovisual stimuli.
Time frame: The data of subjects will be collected and analyzed through study completion an average of 2 years.
Comparison of synchronization, localization and waveform of beta peaks in the motor cortex in response to auditory stimuli.
Hospices Civils de Lyon
Other
Acronym: MOBETA
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