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Psychology 321: Cognitve Psychophysiology Lab. jp-rosenfeld@northwestern. edu [email protected]

Psychology 321: Cognitve Psychophysiology Lab. [email protected] [email protected] [email protected]

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Page 1: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Psychology 321: Cognitve Psychophysiology Lab.

[email protected]@gmail.com

Page 2: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

A simple neural code

Page 3: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Event-related potentials

Page 4: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Spontaneous EEG…

Page 5: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Set-Up for ERPs

Page 6: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

The P300 ERP to meaningful vs. non-meaningful items—how to measure?

Page 7: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

P300 peaks and windows

Page 8: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

How do you tell if Blue > Green ?

Page 9: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Usually a t-test will work if these averages represent groups of 10-20 persons…

But in diagnostic psychophysiology, we want to compare 2 individual averages,,,by the way, here’s how we make them:

Page 10: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com
Page 11: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

For example….

C:\Users\rosenfeld\Desktop\erpav.gif

Page 12: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Recall: How do you tell if Blue > Green ? T-test too noisy for individuals, must use bootstrap…

Page 13: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Suppose you have a big bowl of say 30 hollow balls, each with a number varying say 1 to 30.….…and inside each is a piece of paper with a number written on it, a number varying from say -50 to +50:

-50,-49, -47…….+46, +48, +49.Let’s average all these and say we get 1.4. That’s the real or actual sample mean of all 30 balls, each and every one.

Page 14: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Now we begin the bootstrap process of sampling with replacement: We stir up the balls, and draw one. We note the

number inside and add it to a growing sum that now has one value.

WE REPLACE THE BALL, AND STIR THEM UP AGAIN, AND RANDOMLY DRAW ONE. We note the number inside and add it to a growing sum that now has one sum of 2 numbers.

We repeat this until we have drawn 30 balls with replacement. We divide the sum of 30 by 30 to get the average. How likely is it that it will be 1.4, the real sample mean?

Page 15: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Let us suppose we repeat these 30 set re-samplings (iterations) 100 times, so thatwe can now compute an average of these 100 averages….Are we gonna get closer to 1.4?

For sure; according to Efron (1979), as the iterations go to infinity, their average approaches the sample mean,

Page 16: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

In ERP Bootstrapping…..

…..the original set of single sweeps is repeatedly randomly sampled –but with replacement—

…yielding multiple average ERPs in a single subject.

Let’s say there are 6 repetitions of sampling of 18 single sweeps:

Page 17: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

Each set of 18 single sweeps is averaged yielding 6 averages…

Page 18: Psychology 321: Cognitve Psychophysiology Lab.  jp-rosenfeld@northwestern.edu jp-rosenfeld@northwestern.edu  annecward@gmail.com

You do this with the blue and green (from above) erps, except you look at blue – green P300 values (Mx or Dx), and you insist that 90% or more differences must be>0 to say,”yes’” blue is > green.