Dear Michael,

Thank you for the explaination. The maximum value is around 30 in one
averaged motor task map across 440 subjects, but if 30 over 440 is around
0.07, then this value is a bit of low as the individual-level. How was the
averaged activation map created? average across individual activation maps
or average fMRI signal first then create the activation maps?

Best,
Xiangyu

On Wed, Nov 26, 2014 at 6:04 PM, Harms, Michael <[email protected]> wrote:

>
>  Yes, there are going to be some large z-stats in a analysis involving
> 440 subjects!
> Currently, we don't have a tool yet for running a cluster level correction
> on the surfaces (or even more specifically, the full CIFTI grayordinate
> space, including both surface vertices and subcortical voxels -- there are
> some issues to work out on how to do that appropriately on the full
> CIFTI).  The basic idea is going to be to use 'randomise' to establish the
> null-distribution of either cluster size or a TFCE statistic.  But we are
> just in the early stages of working on that.
>
>  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: [email protected]
>
>   From: Long <[email protected]>
> Date: Wednesday, November 26, 2014 10:55 AM
> To: "Harms, Michael" <[email protected]>
> Cc: "[email protected]" <[email protected]>
> Subject: Re: [HCP-Users] How to threshold the task data?
>
>   Dear Michael,
>
>  Thank you for your reply! I loaded right hand motor task data into
> Matlab and see the range of z score is from ~-20 to ~29. If I convert those
> high z scores, the p value will be just 0. Is that normal? also how can I
> run a cluster-level correction on the surface map?
>
>  Best,
>  Xiangyu
>
> On Wed, Nov 26, 2014 at 3:42 PM, Harms, Michael <[email protected]> wrote:
>
>>
>>  Hi,
>> The file has "zstat" in its name, so it is the z-statistic from the Level
>> 3 group model across 440 related subjects ("R440").  You could compute a
>> p-value from a standard normal distribution, but those p-values will not be
>> fully accurate, because as we note in the data release manual, the model
>> for computing the z-stats didn't account for the familial relationships
>> between subjects (i.e., the R440 subjects are not an independent group of
>> subjects).  You could use the "U100" set of subjects instead, which are 100
>> unrelated subjects.  In that case, p-values computed from the z-stat should
>> be accurate, but note that those will be grayordinate-wise p-values, and
>> will not be corrected for multiple comparisons.
>>
>>  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: [email protected]
>>
>>   From: Long <[email protected]>
>> Date: Wednesday, November 26, 2014 6:50 AM
>> To: "[email protected]" <[email protected]>
>> Subject: [HCP-Users] How to threshold the task data?
>>
>>     Dear all,
>>
>> I tried to run statistical analysis on the task data, for instance,
>> HCP_Q1-Q6_R440_tfMRI_ALLTASKS_level3_zstat1_hp200_s2.dscalar.nii. However I
>> don't know if the data contained z score or beta score, and how to
>> calculate the p value from the task data. Thank you in advance for helping!
>>
>>  Best,
>>  Xiangyu
>>
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>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
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>
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> Healthcare Information or other information of a sensitive nature. If you
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