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MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:

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Page 1: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:

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:

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:

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:

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:

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:

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:

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:

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:

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:

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:

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:

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:
Page 14: MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:

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:

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:

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:

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:

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:

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:

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.