Context
This experiment, examines motor planning and control. MEG data is recorded while subjects move a cursor on screen with help of a joystick. Various motion parameters are manipulated on screen so as to examine the dynamics of motor control.
Technology
This experiment uses
- MEG (306 sensors)
- eye tracking (x,y position)
- joystick 2D position (x,y position)
Pipeline
MEG and eye tracker data are merged "out of the box". The raw input is thus a .fif file with 308 data channels (306 MEG + x & y eye position).
The joystick data is inserted. Evoked fields are computed by condition. An anatomical MRI is used to model sources using minimum norm estimate in Brainstorm. Time-frequency source estimates are computed in FieldTrip (using DICS). ANOVAs are used to highlight ROIs. Connectivity between ROIs is estimated with imaginary coherence. Statistical inference is drawn using MEGanova.
Preprocessing
Operation | Input format | Software | Output format | Comment / Link | |
---|---|---|---|---|---|
1 | Merge joystick and MEG | .fif | dataHandler -merge | .fif | data with MEG, eye tracker, joystick. Datahandler |
2 | Maxfilter | .fif | maxfilter | .fif | maxfilter |
3 | Detect saccades | .fif | FieldTrip | .fif | Ask script to Former user (Deleted) |
4 | Mark bad data segments | .fif | Muse | .fif | Review data with Muse |
5 | Manipulate markers to create conditions | .fif | dataHandler -adm | .fif |
|
6 | Run ICA and reject blink and cardiac components | .fif | FieldTrip and custom script | .fif | Blink and cardiac artifact scripts |
7 | Create Evoked fields | .fif | dataHandler -sync -rbp | .fif |
|
8 | Segment T1 MRI | .dic or other | recon-all (Freesurfer) | freesurfer folder |
|
9 | Import MEG and structural in Brainstorm | Brainstorm supported types | Brainstorm | Brainstorm internal |
|
Transformation
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Mesures
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Statistiques
Operation | Input format | Software | Output format | Comment / Link | |
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