assignment1 for psychology, Cheat Sheet of Psychology

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2021/2022

Uploaded on 11/14/2024

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Assignment I 心理所 U76121034 蘇子航
I. Assignment goal
Figure out the level of correlation between two different fMRI data pre-processing order ( RA: stands for
slice-time correction first, then motion correction; AR: the opposite of RA). And the bigger issue: Which
one should we execute?
In addition, I took subject 15 as the target to complete this assignment.
II. Procedure
a. Preparation: Choose a single voxel (32,32,20) and draw the time series plot using the time as the y-
axis, and value as the x-axis. As the graph below shows, we are struggling to differentiate between
one another by eye viewing.
b. Use the function ‘xff…’ to load both ar & ra bold.nii files into MATLAB.
c. Add another ‘subxx…bold.nii’ file as a mask to pre-select which voxel is the actual brain.
d. Run the codes below to collect all brain voxels’ correlation values between ar & ra. Finally, construct
the histogram of all r values.
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Assignment I 心理所 U76121034 蘇子航 I. Assignment goal Figure out the level of correlation between two different fMRI data pre-processing order ( RA : stands for slice-time correction first, then motion correction; AR : the opposite of RA). And the bigger issue: Which one should we execute? In addition, I took subject 15 as the target to complete this assignment. II. Procedure a. Preparation: Choose a single voxel (32,32,20) and draw the time series plot using the time as the y- axis, and value as the x-axis. As the graph below shows, we are struggling to differentiate between one another by eye viewing. b. Use the function ‘xff…’ to load both ar & ra bold.nii files into MATLAB. c. Add another ‘subxx…bold.nii’ file as a mask to pre-select which voxel is the actual brain. d. Run the codes below to collect all brain voxels’ correlation values between ar & ra. Finally, construct the histogram of all r values.

III. Result Referring to the accompanying histogram, which illustrates the distribution of correlations between "ar" and "ra" in brain voxels is highly condensed above 0.9. Furthermore, the codes also reveal that a significant majority, approximately 86%,28343 of examined