Hi everyone,
I have recently been introduced to this tool, which greatly interests me. I am sorry if my questions seem silly.
I have directional connectivity matrices with (240 control and 360 MCI) subjects. I want to measure the most significant edges where ( CN > MCI) or (MCI > CN), but I am not very sure how to analyze it. I put all subjects 600 in one folder. I have tried many experiments with varying thresholds from (2.5 to 4.18), sometimes I get a set of only subnetworks, sometimes 2 or 3. I have attached my design matrix. Could you please verify this is correct?
Summary of my questions.
1) Is the design matrix correct for the task I am trying to do?
2) What does it mean if the tool dNBS outputs one, two, or three subnetworks? How could we analyze them?
3) How to measure the edges with CN > MCI or MCI > CN.
Thank you for your valuable time.
More info: In the design matrix, the first 360 are MCI subjects, and the next 240 are Normal controls.
Contrast: [-1,1]
signification 0.05
component size Extent
permutations 10k
statistical test t-test
Threaded View
Title | Author | Date |
---|---|---|
Rahul Biswas | Sep 12, 2023 | |
Saqib Mamoon | Sep 9, 2024 | |
Andrew Zalesky | Sep 10, 2024 | |
Saqib Mamoon | Sep 18, 2024 | |
Andrew Zalesky | Sep 18, 2024 | |
Saqib Mamoon | Sep 19, 2024 | |
Saqib Mamoon | Sep 11, 2024 | |
Andrew Zalesky | Sep 12, 2023 | |
Rahul Biswas | Sep 12, 2023 | |
Andrew Zalesky | Sep 13, 2023 | |
Rahul Biswas | Sep 14, 2023 | |