Matthew Potter

From Psych 221 Image Systems Engineering
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Back to Psych 204b Projects 2010


The Beta Response vs. Multi-Voxel Pattern Analysis

This project investigates the different information that can be gleaned from looking at the beta response across an ROI vs. the multi-voxel pattern analysis.

Background


Methods

Subjects

Subjects were 5 healthy volunteers.

MR acquisition

Data were obtained on a GE scanner. Et cetera.

MR Analysis

The MR data was analyzed using mrVista software tools.

Results - What you found

Retinotopic models in native space

Some text. Some analysis. Some figures.

Retinotopic models in individual subjects transformed into MNI space

Some text. Some analysis. Some figures.

Retinotopic models in group-averaged data on the MNI template brain

Some text. Some analysis. Some figures. Maybe some equations.


Equations

If you want to use equations, you can use the same formats that are use on wikipedia.
See wikimedia help on formulas for help.
This example of equation use is copied and pasted from wikipedia's article on the DFT.

The sequence of N complex numbers x0, ..., xN−1 is transformed into the sequence of N complex numbers X0, ..., XN−1 by the DFT according to the formula:

Xk=n=0N1xne2πiNknk=0,,N1

where i is the imaginary unit and e2πiN is a primitive N'th root of unity. (This expression can also be written in terms of a DFT matrix; when scaled appropriately it becomes a unitary matrix and the Xk can thus be viewed as coefficients of x in an orthonormal basis.)

The transform is sometimes denoted by the symbol , as in 𝐗={𝐱} or (𝐱) or 𝐱.

The inverse discrete Fourier transform (IDFT) is given by

xn=1Nk=0N1Xke2πiNknn=0,,N1.

Retinotopic models in group-averaged data projected back into native space

Some text. Some analysis. Some figures.


Conclusions

Here is where you say what your results mean.

References - Resources and related work

References

Software

Appendix I - Code and Data

Code

File:CodeFile.zip

Data

zip file with my data