Came across this recently in TaskfMRIAnalysis/scripts/TaskfMRILevel1.sh:
AdditionalSigma=`echo "$AdditionalSmoothingFWHM / ( 2 * ( sqrt ( 2 * l ( 2 ) ) 
) )" | bc -l`

So even more precise.;-)


On Apr 13, 2015, at 8:59 AM, "Harms, Michael" <mha...@wustl.edu> wrote:

> 
> Hi,
> Just wanted to mention, for purposes of documenting in this thread, that 
> technically the conversion from FWHM to sigma is:
> sigma = FWHM/2.355
> http://en.wikipedia.org/wiki/Full_width_at_half_maximum
> 
> I believe the FEAT just uses "2" rather than "2.355" in the denominator for 
> the calculation of the sigma for its high pass temporal filter because the 
> Gaussian filter is very gradual anyway.
> 
> In the HCP pipelines, I believe that we use the technically correct factor of 
> 1/2.355 for any conversion of FWHM to Sigma.
> 
> cheers,
> -MH
> 
> -- 
> Michael Harms, Ph.D.
> -----------------------------------------------------------
> Conte Center for the Neuroscience of Mental Disorders
> Washington University School of Medicine
> Department of Psychiatry, Box 8134
> 660 South Euclid Ave.  Tel: 314-747-6173
> St. Louis, MO  63110  Email: mha...@wustl.edu
> 
> From: Kimberly Stachenfeld <k...@princeton.edu>
> Date: Sunday, April 12, 2015 4:22 PM
> To: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
> Subject: [HCP-Users] rsfc preprocessing
> 
> Hi hcp-users,
> 
> I'm new to resting state connectivity analysis (and this list-serve), and I 
> have a few basic questions about applying it to the HCP data. I'm using the 
> minimally preprocessed REST1 data.
> 
> 1. The low-pass filtering seems "controversial", though commonly employed -- 
> is there at this point an agreed-upon way to remove deleterious high 
> frequency noise?
> 
> In addition, I'm having difficulty with temporally filtering the data in fsl. 
> To bandpass data from .009 - .08 Hz, I'm running:
> 
> fslmaths nii_in -bptf 77.168.68 nii_out
> 
> where 77.16 = sigma_hipass = 1/(2 * TR * F_hicutoff), for TR = .72 and 
> F_cutoff = .009
> 
> and  8.68 = sigma_lopass = 1/(2 * TR * F_locutoff), for TR = .72 and 
> F_locutoff = .08
> 
> This seems correct (I at least confirmed with the feat gui that the 
> conversion from cycle time to sigma is 1/(2*TR)). However, when I look at the 
> data in the frequency domain, it looks like there is significant response 
> left for frequencies below .009 Hz (picture attached) and very little between 
> .01-.08. Does anyone know if I'm doing something incorrectly, or if the 
> frequency cutoff for a Gaussian filter is just very gradual?
> 
> 2. Any additional preprocessing is recommended, besides temporal filter and 
> what the minimal pre-processing has already enacted?
> 
> 3. What is an intelligent way to combine correlation matrices? Averaging 
> (Power et al, 2011)? Binarizing the correlation matrix by setting the top 10% 
> of voxels to 1 and the rest to 0, and averaging the binarized matrices (Yeo 
> et al, 2011)? Either? Something fancier?
> 
> Any advice or additional resources would be enormously appreciated -- thanks 
> very much!! 
> 
> Kim
> 
> -- 
> Kimberly Stachenfeld, BS
> Graduate Student
> 236A Princeton Neuroscience Institute
> Washington Road
> Princeton, NJ 08544
> 
> k...@princeton.edu
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