MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy,...
-
Upload
rolf-lucas -
Category
Documents
-
view
216 -
download
0
Transcript of MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy,...
![Page 1: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/1.jpg)
MEG/EEG ModuleTrainees
Kai Hwang
Tina Rasmussen
TA
Gus Sudre
Bronwyn Woods
Instructor
Bill Eddy, Ph.D.
Anna Haridis
Thanks to:
![Page 2: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/2.jpg)
Goals• Learn the basics of EEG/MEG
– Why? Excellent temporal resolution, direct and noninvasive measurement of neuronal activity
– How? Used simple motor, somatosensory, visual paradigms to learn data collection, pre-processing and analysis
• Easy to run, predictable results
![Page 3: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/3.jpg)
Tasks: motor, visual, somatosensory
Task Parameters We’ll present…
Paced finger tapping:Index finger, middle finger, big toe.
A visual cue to indicate tap right or left finger.ISI = 800ms
Source localization result of right index, right middle finger tapping.
Visual checkerboard:Checkerboard stimuli shifted randomly between 4 quadrants of visual fields.
Slow: ISI = 1sec,Duration = 300ms.
Fast: ISI = 100ms,Duration = 300ms.
•Source localization of 4 quadrants of
visual field.•The effect of averaging and artifact rejection on sensor waveform.•Time frequency analysis in sensor space
Electrical stimulation:Index finger, middle finger, big toe.
ISI = 492 ms, Duration = 10 ms
Nothing due to time constraint.
![Page 4: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/4.jpg)
Simultaneous MEG/EEG measurement
![Page 5: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/5.jpg)
Experiences:• EEG head cap was very stiff. It did not fit well to
the head for some subjects.• MEG head position indicator (HPI) coils could
not be well localized by the MEG scanner, when they were glued to the EEG head cap
Solution to both problems:• Glue the EEG electrodes and the HPI coils
directly onto the subject’s scalp
Simultaneous MEG/EEG measurement
![Page 6: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/6.jpg)
Processing Steps
• Preprocessing– Spatial filtering (SSS)– Temporal filtering (0 – 40Hz)
• Off-line averaging– By trial type (different finger, visual quadrant)– Reject trials with artifacts (EOG, ECG, etc)
• Source localization– MNE, dSPM
• Time-frequency analysis– Fieldtrip (Matlab)
![Page 7: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/7.jpg)
Can MEG distinguish motor regions of different fingers?
Right Index Right Middle
Average of 191 trials Average of 119 trials
![Page 8: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/8.jpg)
Can MEG localize 4 quadrants of visual space?
Upper right
Bottom left
Upper left
Bottom right
Average of 240 trials
120ms after stim. onset
![Page 9: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/9.jpg)
How many events are needed to obtain a stable average waveform?
Top right quadrant
![Page 10: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/10.jpg)
Artifact rejection for EEG signals
![Page 11: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/11.jpg)
Temporal variation of EEG activity over the visual cortex
5 consecutive stimuli:
• First stimulus always at bottom left
• Position of next 4 varies randomly
• ISI = 100ms, Duration= 300ms.
Electrode O2 (EEG059) is placed
over the right occipital lobe.
![Page 12: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/12.jpg)
What have we learned?• Experiments:
Data recording setupSimultaneous MEG/EEG experiments
• Signal processing/analysis:Signal cleaning (SSS, continuous HPI, filtering) Event-related potentialsSource estimation/localizationTime-frequency analysis
• Analysis tools: MNE (GUI, batch scripts)Shell scripting (bash and C shell) Matlab toolbox (FieldTrip)
![Page 13: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/13.jpg)
![Page 14: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/14.jpg)
Toe tapping
![Page 15: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/15.jpg)
Somatosensory StimulationRight ToeRight Toe
![Page 16: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/16.jpg)
Somatosensory Stimulation
Right Middle
Right Middle
![Page 17: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/17.jpg)
SSS or no SSS?
Right index tapping. White = no SSS, yellow= SSS on average, blue SSS before averaging
MEG1821
![Page 18: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/18.jpg)
cHPI (motion correction)
• Noisy!
![Page 19: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/19.jpg)
Time-frequency analysis: EEG signals
Fast:
![Page 20: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:](https://reader030.fdocuments.net/reader030/viewer/2022032722/56649ce25503460f949ad19f/html5/thumbnails/20.jpg)
Temporal variation of EEG activity over the visual cortex
• 3 consecutive stimuli
• First stimulus always at top right
• Next 2 shifted randomly
• ISI = 100ms, Duration= 300ms.