in˜uencing visual target detection with oscillatory phase-speci˚c stimulus presentation ·...

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Influencing Visual Target Detection with Oscillatory Phase-Specific Stimulus Presentation Robert Gougelet, Thomas Donoghue, Matthew Piper, Alric Althoff, Tom Urbach & Bradley Voytek Conclusions Acknowledgements Abstract II - Phase-Selective Presentation Is Successful I - Visual Detection is Alpha Power & Phase Dependent + + Pre-Trial Fixation Sample EEG Delay (1000 ms) + Flash (30 ms) + Wait for Response (1500 ms) + End of Trial Time + Compute Prediction Delay (0-1000 ms) References Thanks to Professor Virginia DeSa for support on this project, and to Joshua Stivers, Will Fox, Torben Noto and Tammy Tran for help with data collection. VanRullen, R., Busch, N. A., Drewes, J., & Dubois, J. (2011). Ongoing EEG phase as a trial-by-trial predictor of perceptual and attentional variability. Frontiers in psychology, 2. Valera, F. J., Toro, A., John, E. R., & Schwartz, E. L. (1981). Perceptual framing and cortical alpha rhythm. Neuropsychologia, 19(5), 675-686. Phase selective stimulus presentation is possible, with two distinct methods, at least for dominant oscillations such as posterior alpha. These methods are reasonably robust with regards to the power of the oscillation, and work in real time allowing for implementation with fast-paced behavioural tasks. Phase of Presentation Peak Triggered Trough Triggered Threshold Method Filtering Method Power Spectrum Density Use PSD to determine A B A B Electrode Oz Reference FCz Sampling Rate 5000 Hz Online Sample T ime 1000 ms Online Filter Individual Alpha +/- 3 Hz Threshold Percentile Values [0.5, 99.5] C C A B C uVI - Method Details A B C D V - Selective Presentation is Robust to Low Power Filt Method Thresh Method Peak High Power Low Power High Power Trough Low Power III - Selective Presentation can Bias Behaviour A C S# Peak Detection Trough Detection Detection 1 19.23% 21.05% 1.82% 2 71.97% 59.12% 12.85% ** 3 50.00% 44.44% 5.56% 4 73.33% 70.73% 2.60% 5 46.75% 46.00% 0.74% 6 80.00% 81.48% 1.48% 7 58.16% 55.47% 2.69% 8 72.26% 69.06% 3.20% B Threshold Method Filter Method Outline of the Phase Selective Presentation Methods Can we influence the detection of a visual target by presenting it at an optimal phase of an endogenous oscillation? The instantaneous phase of cortical oscillations relates to behaviour, e.g. there is an optimal posterior alpha phase for visual detection tasks and in other modalities (Busch & VanRullen, 2011). Methods for selectively presenting stimuli have been demonstrated before, using online methods using either a filtering approach (Varela et al., 1981) or a threshold approach (Kruglikov & Schiff, 2003), but these methods have never been used in an attempt to influence behavior. Here, we implement the two methods for selectively presesnting stimuli at specified phases of ongoing oscillations, comparing the methods, and investigate if selective presentation can bias behavioral performance in a visual detection task. A) Outline of the online system. EEG was used online to estimate and predict oscillatory phase using two methods: Thresh method - the raw voltage trace is thresholded to identify peaks and troughs of the dominant oscillation such that future phases can be predicted Filt method - data are bandpass filtered, and used to extrapolate future phases by identifying peaks and troughs. λ is wavelength (peak to peak distance). B) Alpha oscillations. Normalized alpha oscillations for each subject. Online peak alpha frequency estimated from 60 second rest baseline period. C) Parameters used in the online system. A) Task outline. Participants completed a peripheral visual target detection task. B) Detection Rate vs. Alpha Power. Participants with greater peak alpha power performed worse. Computed at electrode Oz. C) Phase preference for Hit vs. Miss trials. Miss trials occur at a preferred phase. Computed at electrode Oz. A) Phase of stimulus presentation in online trials. Compares Filt and Thresh methods to offline Sham. Data filtered +/-2 Hz around individual alpha, Hilbert transformed, phase angle was computed at time of stimulus presentation. B) Stimulation phase angle for sham online trials. Demonstrates no manipulation in sham. C) Mean vectors for online methods. A) Behavioural performance depends on difference between online targeted and offline optimal mean phases. S7 excluded due to no preferred phase. B) Behavioural data for all subjects. (**p<0.05) C) Subject 2 responded most to manipulation. Subject 2’s mean offline (Sham) optimal phases of Hit and Miss trials are best aligned with the mean Peak and Trough phases of online methods. IV - Effect of Phase on ERP’s The effect of alpha power on selective presentation. We median split high and low power trials, and compared the Filt and Thresh methods in predicting a stable phase. A) Trial durations. B) Peak, Trough, and Miss trial distributions for Filt and Thresh methods. Miss trials indicate when the method failed to detect a peak or trough. C) Initial peak alpha identification. We correctly identified peak alpha frequency from the recorded baseline period. D) Subject specific threshold values for classifying Peak or Trough trials A B C D E F Time (msec) -200 -100 0 100 200 300 400 500 Voltage ( u V) -10 -5 0 5 10 Channel Oz - Grand Average of Filter Trough vs. Threshold Trough Filter Trough Threshold Trough Time (msec) -200 -100 0 100 200 300 400 500 Voltage ( u V) -10 -5 0 5 10 Channel Oz - Grand Average of Hit Peak vs. Hit Trough Hit Peak Hit Trough A&B) Comparing Filt and Thresh methods. The Filt and Thresh methods differed only slightly. C&D) Effect of selective phase presentation within Hit or Miss trials. Selective phase presentation may have more of a post-stimulus effect on Miss trials E) Selective phase presentation compared to Sham trials. Our manipulations may maximally differentiate Hit and Miss trials. Black axis indicates Hit Peak > Miss Trough (p<0.05). F) Difference between Hit and Miss Trials. Targeting both Peaks and Troughs has a trending impact on how Hit and Miss trials are differentiated via ERP amplitude. -200 -100 0 100 200 300 400 500 Voltage ( u V) -10 -5 0 5 10 Channel Oz - Grand Average of Filter Peak vs. Threshold Peak Filter Peak Threshold Peak -200 -100 0 100 200 300 400 500 Voltage ( u V) -10 -5 0 5 10 Channel Oz - Grand Average of Miss Peak vs. Miss Trough Miss Peak Miss Trough -200 -100 0 100 200 300 400 500 Voltage ( u V) -10 -5 0 5 10 Channel Oz - Grand Average of Hit Peak vs. Miss Trough w/ Sham Hit Peak Miss Trough Hit Sham Miss Sham Time (msec) -200 -100 0 100 200 300 400 500 Voltage ( u V) -10 -5 0 5 10 Channel Oz - Difference between Hit and Miss trials Hit Peak - Miss Peak Hit Trough - Miss Trough Hit Sham - Miss Sham

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Page 1: In˜uencing Visual Target Detection with Oscillatory Phase-Speci˚c Stimulus Presentation · 2016-03-31 · In˜uencing Visual Target Detection with Oscillatory Phase-Speci˚c Stimulus

In�uencing Visual Target Detection with Oscillatory Phase-Speci�c Stimulus Presentation

Robert Gougelet, Thomas Donoghue, Matthew Piper, Alric Altho�, Tom Urbach & Bradley Voytek

Conclusions

Acknowledgements

Abstract II - Phase-Selective Presentation Is Successful

I - Visual Detection is Alpha Power & Phase Dependent

+

+

Pre-Trial Fixation

Sample EEG Delay (1000 ms)

+

Flash (30 ms)

+

Wait for Response (1500 ms)

+

End of Trial

Tim

e

+

Compute Prediction Delay (0-1000 ms)

References

Thanks to Professor Virginia DeSa for support on this project, and to Joshua Stivers, Will Fox, Torben Noto and Tammy Tran for help with data collection.

VanRullen, R., Busch, N. A., Drewes, J., & Dubois, J. (2011). Ongoing EEG phase as a trial-by-trial predictor of perceptual and attentional variability. Frontiers in psychology, 2.

Valera, F. J., Toro, A., John, E. R., & Schwartz, E. L. (1981). Perceptual framing and cortical alpha rhythm. Neuropsychologia, 19(5), 675-686.

• Phase selective stimulus presentation is possible, with two distinct methods, at least for dominant oscillations such as posterior alpha.

• These methods are reasonably robust with regards to the power of the oscillation, and work in real time allowing for implementation with fast-paced behavioural tasks.

Phase of Presentation

Peak Triggered

TroughTriggered

Threshold Method

Filtering Method

Power Spectrum Density

Use PSD to determine

A

B

A B

Electrode Oz

Reference FCz

Sampling Rate 5000 Hz

Online Sample Time 1000 ms

Online Filter Individual Alpha +/- 3 Hz

Threshold Percentile Values [0.5, 99.5]

C

C

A B

C

u

VI - Method DetailsA B

C D

V - Selective Presentation is Robust to Low Power Filt Method Thresh Method

Peak

High PowerLow PowerHigh Power

Trough

Low Power

III - Selective Presentation can Bias BehaviourA

C

S# Peak Detection Trough Detection Detection

1 19.23% 21.05% 1.82%

2 71.97% 59.12% 12.85% **

3 50.00% 44.44% 5.56%

4 73.33% 70.73% 2.60%

5 46.75% 46.00% 0.74%

6 80.00% 81.48% 1.48%

7 58.16% 55.47% 2.69%

8 72.26% 69.06% 3.20%

B

Threshold Method Filter Method

Outline of the Phase Selective Presentation Methods

Can we in�uence the detection of a visual target by presenting it at an optimal phase of an endogenous oscillation?

• The instantaneous phase of cortical oscillations relates to behaviour, e.g. there is an optimal posterior alpha phase for visual detection tasks and in other modalities (Busch & VanRullen, 2011).• Methods for selectively presenting stimuli have been demonstrated before, using online methods using either a �ltering approach (Varela et al., 1981) or a threshold approach (Kruglikov & Schi�, 2003), but these methods have never been used in an attempt to in�uence behavior.• Here, we implement the two methods for selectively presesnting stimuli at specified phases of ongoing oscillations, comparing the methods, and investigate if selective presentation can bias behavioral performance in a visual detection task.

A) Outline of the online system. EEG was used online to estimate and predict oscillatory phase using two methods:

Thresh method - the raw voltage trace is thresholded to identify peaks and troughs of the dominant oscillation such that future phases can be predicted

Filt method - data are bandpass �ltered, and used to extrapolate future phases by identifying peaks and troughs. λ is wavelength (peak to peak distance).

B) Alpha oscillations. Normalized alpha oscillations for each subject. Online peak alpha frequency estimated from 60 second rest baseline period.

C) Parameters used in the online system.

A) Task outline. Participants completed a peripheral visual target detection task. B) Detection Rate vs. Alpha Power. Participants with greater peak alpha power performed worse. Computed at electrode Oz. C) Phase preference for Hit vs. Miss trials. Miss trials occur at a preferred phase. Computed at electrode Oz.

A) Phase of stimulus presentation in online trials. Compares Filt and Thresh methods to o�ine Sham. Data �ltered +/-2 Hz around individual alpha, Hilbert transformed, phase angle was computed at time of stimulus presentation. B) Stimulation phase angle for sham online trials. Demonstrates no manipulation in sham. C) Mean vectors for online methods.

A) Behavioural performance depends on di�erence between online targeted and o�ine optimal mean phases. S7 excluded due to no preferred phase.B) Behavioural data for all subjects. (**p<0.05) C) Subject 2 responded most to manipulation. Subject 2’s mean o�ine (Sham) optimal phases of Hit and Miss trials are best aligned with the mean Peak and Trough phases of online methods.

IV - E�ect of Phase on ERP’s

The e�ect of alpha power on selective presentation. We median split high and low power trials, and compared the Filt and Thresh methods in predicting a stable phase.

A) Trial durations. B) Peak, Trough, and Miss trial distributions for Filt and Thresh methods. Miss trials indicate when the method failed to detect a peak or trough. C) Initial peak alpha identi�cation. We correctly identi�ed peak alpha frequency from the recorded baseline period.

D) Subject speci�c threshold values for classifying Peak or Trough trials

A

B

C

D

E

F

Time (msec)-200 -100 0 100 200 300 400 500

Volta

ge (u

V)

-10

-5

0

5

10

Channel Oz - Grand Average of Filter Trough vs. Threshold Trough

Filter TroughThreshold Trough

Time (msec)-200 -100 0 100 200 300 400 500

Volta

ge (u

V)

-10

-5

0

5

10

Channel Oz - Grand Average of Hit Peak vs. Hit Trough

Hit PeakHit Trough

A&B) Comparing Filt and Thresh methods. The Filt and Thresh methods di�ered only slightly. C&D) E�ect of selective phase presentation within Hit or Miss trials. Selective phase presentation may have more of a post-stimulus e�ect on Miss trials E) Selective phase presentation compared to Sham trials. Our manipulations may maximally di�erentiate Hit and Miss trials. Black axis indicates Hit Peak > Miss Trough (p<0.05). F) Di�erence between Hit and Miss Trials. Targeting both Peaks and

Troughs has a trending impact on how Hit and Miss trials are di�erentiated via ERP amplitude.

-200 -100 0 100 200 300 400 500

Volta

ge (u

V)

-10

-5

0

5

10

Channel Oz - Grand Average of Filter Peak vs. Threshold Peak

Filter PeakThreshold Peak

-200 -100 0 100 200 300 400 500

Volta

ge (u

V)

-10

-5

0

5

10

Channel Oz - Grand Average of Miss Peak vs. Miss Trough

Miss PeakMiss Trough

-200 -100 0 100 200 300 400 500

Volta

ge (u

V)

-10

-5

0

5

10

Channel Oz - Grand Average of Hit Peak vs. Miss Trough w/ Sham

Hit PeakMiss TroughHit ShamMiss Sham

Time (msec)-200 -100 0 100 200 300 400 500

Volta

ge (u

V)

-10

-5

0

5

10

Channel Oz - Difference between Hit and Miss trials

Hit Peak - Miss PeakHit Trough - Miss TroughHit Sham - Miss Sham