Dear Kate,
So you have one between subject factor and three within subject factors,
all with two levels. How did you specify your flexible factorial design?
It might be convenient to share an image of the design matrix.
One way to extract data interactively from the Results figure is to do a
right-click on the MIP (glass brain) and select 'Extract data' from the
contextual menu.
Best regards,
Guillaume.
On 15/09/2020 07:17, Kate Ridgway wrote:
> Dear Community,
>
>
>
> Our research group published a finding that youth at high risk of
> bipolar disorder show reduced interior frontal gyrus activation during
> response inhibition to emotion stimuli in a Go-No-Go task compared to
> age-matched controls. The Go-No-Go task involved presenting participants
> with a pair of faces; one always calm and the other either fearful or
> happy. Across trials it varied whether the pair had a calm target and an
> emotionally-expressive (fearful or happy) distractor (Calm Target
> condition) or the opposite (Calm Distractor condition). This analysis
> required extracting the brain signal values for these different types of
> GoNoGo trials (Go vs No Go, Fearful vs Happy, Calm Target vs Calm
> Distractor) from SPM. We have lost the script that performed this
> extraction and would love some instruction on how to re-do this.
>
>
>
> Specifically, I would like to know how to extract brain signal values
> (we’ve referred to these as ‘beta values’ in the past) per participant
> per GoNoGo contrast (e.g. comparing ‘Go’ trials involving happy
> distractor faces to ‘No Go’ trials involving happy distractors*)* for a
> peak voxel that shows a group difference.
>
>
>
> We ran a Flexible Factorial ANOVA to test group differences in brain
> activation across Go-No-Go conditions and the resulting output for each
> participant was a con, beta, and spmT file per contrast tested.
>
> * *
>
> Any help would be great!
>
>
>
> Thanks,
>
>
>
> Kate
>
--
Guillaume Flandin, PhD
Wellcome Centre for Human Neuroimaging
UCL Queen Square Institute of Neurology
London WC1N 3BG
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