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The usage of surrogate analysis

Open vincent5290 opened this issue 1 year ago • 2 comments

Dear Makism or other users, first of all, thanks so much for your contribution in dynamic connectome mapping, which I learned a lot. But now I am confused of the usage of surrogate analysis, which, from my understanding, is aimed to identify the "true" connections between nodes. Here is the procedure I understand: firstly, I contructed a 4-D dynamic functional connectivity matrix (coupling modes × temporal segments × ROIs × ROIs) for each participant. Secondly, the time serials from corresponding frequency band, two ROIs were extracted for surrogate analysis. Thirdly, the dynamic functional connectivity values were compared with the 1000 surrogate values and then corrected by FDR. Is that corrected?

Meanwhile, I have some confused points:

  1. what's the meaning of the output "p_val, corr_surr, surrogates, r_value"?
  2. the surrogate analysis was conducted in individual level or group level?

I would appreciate a lot if any one could answer my questions.

vincent5290 avatar Oct 03 '22 15:10 vincent5290

@stdimitr can you please take over?

makism avatar Oct 15 '22 09:10 makism

Dear Vincent

Below, you can find a short description of the output of surrogates function:

p_value refers to the statistical p_vlaue estimated by comparing the original functional strength compared to a number of surrogates corr_sur refers to the correlation of the surrogate time-series - this is to understand how similar they are in the time domain surrogates are the surrogates' time-series r_value is the absolute correlation between the two time-series corresponding to the two ROIs

Best regards Stavros

Στις Δευ 3 Οκτ 2022 στις 4:44 μ.μ., ο/η vincent5290 < @.***> έγραψε:

Dear Makism or other users, first of all, thanks so much for your contribution in dynamic connectome mapping, which I learned a lot. But now I am confused of the usage of surrogate analysis, which, from my understanding, is aimed to identify the "true" connections between nodes. Here is the procedure I understand: firstly, I contructed a 4-D dynamic functional connectivity matrix (coupling modes × temporal segments × ROIs × ROIs) for each participant. Secondly, the time serials from corresponding frequency band, two ROIs were extracted for surrogate analysis. Thirdly, the dynamic functional connectivity values were compared with the 1000 surrogate values and then corrected by FDR. Is that corrected?

Meanwhile, I have some confused points:

  1. what's the meaning of the output "p_val, corr_surr, surrogates, r_value"?
  2. the surrogate analysis was conducted in individual level or group level?

I would appreciate a lot if any one could answer my questions.

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stdimitr avatar Oct 15 '22 10:10 stdimitr