help > RE: How to denoise with global correlation
May 10, 2018  02:05 PM | Ines Del Cerro - IDIBELL - Bellvitge Biomedical Research Institute
RE: How to denoise with global correlation
Dear Stephen,

Thank you very much for your kind response. I will take a look at the paper and method you comment.

Best,

Ines

Originally posted by Stephen L.:
Dear Ines,

Unfortunately, I did not find any other way to regress out the effect of heterogenous scanners settings. For the moment, I dropped this kind of analysis in CONN as I got unreliable and meaningless results doing so, and I am rather doing separate analyses (one per center) that I then combine using a meta-review kind of analysis such as with the PVM software (see Costafreda, S. G. (2009). Pooling fMRI data: meta-analysis, mega-analysis and multi-center studies. Frontiers in neuroinformatics, 3, 33).

I am also looking into other approaches such as ICA regression and machine learning but they are all experimental, the most reliable way currently from what I have read so far seems to be the meta-analysis approach, as it assumes independence between the analyses, it is statistically perfectly fine to compare multicentric analyses this way (just like one can compare multiple studies results).

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TitleAuthorDate
Stephen L. Jun 22, 2017
Stephen L. Nov 19, 2017
Ines Del Cerro May 8, 2018
Stephen L. May 9, 2018
RE: How to denoise with global correlation
Ines Del Cerro May 10, 2018
Jeff Browndyke Jun 28, 2017
Stephen L. Nov 16, 2017