External Email - Use Caution        

Dear Prof Greve,

Many thanks for your reply,
Could you please confirm also the second part of the sentence ? " [...]
given the sample size this is likely to be marginal compared to the effect
size and results would still be interpretable... "
Sorry but experts are th only way to get a feeling about those analyses
without ground truth..
Best wishes

Gabriel Robert, MD, PhD, HDR
PU-PH, Pôle Hospitalo-Universitaire de Psychiatrie Adulte (PHUPA)
Psychiatrie de la personne âgée
Centre Hospitalier Guillaume Régnier, Rennes, France
U1228, UMR 60274 IRISA, Campus Beaulieu, Rennes, France
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Le lun. 16 oct. 2023 à 04:55, Douglas N. Greve <dgr...@mgh.harvard.edu> a
écrit :

> yes, I think so too
>
> On 9/19/2023 5:07 PM, gabriel robert wrote:
>
>         External Email - Use Caution
> Dear experts in longitudinal neuroimaging
>
> We carefully read the papers about possible biases introduced by treating
> timepoints images differently (Reuter and Fischl NI 2011, for example) to
> estimate unbiased anatomical and functional changes of brain development in
> healthy individuals. We took good note that treating each time point
> independently would remove asymmetry biases at the cost of reduced power.
>
> In our project, we would like to analyze about 800 scans both 3DT1,
> diffusion (FA preprocessed with fsl TBSS) and functional task BOLD at 3
> time points (14 years-old, 19 years-old and 23 years-old).
>
> Each time point scans are preprocessed individually and normalized to a
> specific group-based template at the corresponding time point (not a
> within-subject midpoint symmetric space) and to the standard MNI space.
>
> Our question: We'd like to use a home-made study-specific multimodal atlas
> to resample ROI BOLD mean contrasts and fractional anisotropy at each time
> point but this atlas is *based on the last time point only (23
> years-old).* Does this situation fall into the 'asymmetry-induced bias in
> longitudinal processing' ?
>
> Our feeling is most probably yes but given the sample size this is likely
> to be marginal compared to the effect size and results would still be
> interpretable... ?
>
> Many thanks for time, interest and insight,
>
> Best wishes
>
> Gabriel
>
>
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