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help > Extremely high values of contrast estimates in SPM after using CONN preprocessed and denoised data
Mar 2, 2019 10:03 PM | avantika mathur - UNL
Extremely high values of contrast estimates in SPM after using CONN preprocessed and denoised data
Hi Conn users,
After following the following posts,
https://www.nitrc.org/forum/message.php?...
I used the alternative method to import conn preprocessed data in SPM which is the following :
Entering the preprocessed/denoised timeseries into SPM to perform the first-level analyses.
The data I am analyzing is children data thus, ART was used at liberal threshold in preprocessing [Global signal z value threshold 10, subject motion 5 mm]. I did not have the "effect of Condition X" entered as confounding effects during Denoising.
I used the file generated after conn preprocessing and denoising...the niftiDATA_Subject001_Condition000 and further defined first-level design matrices within SPM, specified masking threshold to -Inf in first level analysis [https://www.nitrc.org/forum/message.php?msg_id=14852].
After doing first level analysis and group level analysis [10 subjects], I get weird beta estimate values - which are extremely high . Attached are the bar plots for the same [1st bar-chart - single subject, 2nd bar chart - group of 10 subjects]. Beta values should not be this high.
Can someone direct me where I am going wrong?
Avantika
After following the following posts,
https://www.nitrc.org/forum/message.php?...
I used the alternative method to import conn preprocessed data in SPM which is the following :
Entering the preprocessed/denoised timeseries into SPM to perform the first-level analyses.
The data I am analyzing is children data thus, ART was used at liberal threshold in preprocessing [Global signal z value threshold 10, subject motion 5 mm]. I did not have the "effect of Condition X" entered as confounding effects during Denoising.
I used the file generated after conn preprocessing and denoising...the niftiDATA_Subject001_Condition000 and further defined first-level design matrices within SPM, specified masking threshold to -Inf in first level analysis [https://www.nitrc.org/forum/message.php?msg_id=14852].
After doing first level analysis and group level analysis [10 subjects], I get weird beta estimate values - which are extremely high . Attached are the bar plots for the same [1st bar-chart - single subject, 2nd bar chart - group of 10 subjects]. Beta values should not be this high.
Can someone direct me where I am going wrong?
Avantika
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Title | Author | Date |
---|---|---|
avantika mathur | Mar 2, 2019 | |
Alfonso Nieto-Castanon | Mar 5, 2019 | |
avantika mathur | Mar 7, 2019 | |
Sneha Sheth | Sep 27, 2021 | |