Hi Jorge,

The global measurement enters in the model as a nuisance, not as an effect of interest. Even if the estimator is inconsistent, it is still useful as such. About which is noisier, it turns out that in general, the bigger the structure, the less measurement noise is present. From the structural measurements we use, the global ones are certainly those with higher SNR, including brain volumes, average cortical thickness and total area -- even if, e.g. brain volume is based on a single measurement rather than on some sort of average.

All the best,

Anderson


On 27/03/12 01:50, jorge luis wrote:
I think we must be careful about including noisy large scale measurements as global nuisance covariates in the General Linear Model (GLM). The GLM assumes that the independent variables are measured almost without error (eg. see http://en.wikipedia.org/wiki/Errors-in-variables_models). For instance, mean cortical thickness or mean global activity in fMRI (as the mean of many values) should not be as noisy as Intracranial Volume estimates (or the estimated volume of any neuroanatomical structure).

-Jorge



        ------------------------------------------------------------------------
        *De:* Anderson Winkler <andersonwink...@hotmail.com>
        *Para:* freesurfer@nmr.mgh.harvard.edu
        *Enviado:* Lunes 26 de marzo de 2012 13:56
        *Asunto:* Re: [Freesurfer] Cortical Normalization Questions

        Hi Jeff and all,

        For normalization (i.e., divide the measurement under study by
        some
        global measurement), I would not argue favourably, as this
        procedure can
        bias the results in the opposite direction if a global effect
        is present.

        Instead, include it as a covariate is not as harmful. My
        suggestion is,
        when there is no clear approach about using or not a global
        measurement
        as a nuisance, the relationships between the measurement under
        study,
        the independent variable, and the putative nuisance should be
        calculated, and models with and without the nuisance should be
        analysed
        and presented. The discussion should consider both analyses
        together,
        and enough information should be presented so that the final
        interpretation is left to the reader.

        Specifically for area, I suggest analysing and presenting two
        models:
        (1) without any global measurement and (2) with global area as
        nuisance.

        If brain volume (whichever way it is measured) is to be
        considered a
        potential nuisance for the disorder you are analysing, it can be
        included in the model #2 above, even given that they are not
        orthogonal
        to each other, and are related to global area. Non-orthogonality
        between the nuisance variables is not a problem as it is when
        effects of
        interest are involved.

        Hope this helps!

        All the best,

        Anderson


        On 23/03/12 11:29, Michael Harms wrote:
        > Our reply to that is here
        > http://bjp.rcpsych.org/content/196/5/414.2.long
        >
        > which reminded me of other papers that have also used a
        global thickness
        > measure to covary for mean cortical thickness and thereby
        "address whether
        > any regional thickness differences were in excess of global
        cortical
        > thickness differences between groups" -- see references
        [1,4] in our
        > Reply.
        >
        > cheers,
        > -MH
        >
        >> Hi Michael and others,
        >>
        >> maybe it's this one:
        >>
        >> http://bjp.rcpsych.org/content/196/5/414.1.long
        >>
        >> best,
        >> -joost
        >>
        >>
        >> On Fri, Mar 23, 2012 at 2:15 AM, Michael Harms
        >> <mha...@conte.wustl.edu <mailto:mha...@conte.wustl.edu>>wrote:
        >>
        >>> Hi Jeff,
        >>> I personally like the idea of using average thickness as a
        covariate to
        >>> control for a reduction in "whole brain" thickness, and
        have used that
        >>> approach in a paper.  If the Abstract that you mentioned
        indicated that
        >>> this is flawed, I'd be curious to know what the reason was...
        >>>
        >>> cheers,
        >>> -MH
        >>>
        >>> On Thu, 2012-03-22 at 21:00 -0400, Bruce Fischl wrote:
        >>>> Hi Jeff
        >>>>
        >>>> yes, I think this is still our recommendation for
        thickness, although
        >>>> perhaps David Salat can verify. As far as surface area,
        you might get
        >>>> Anderson Winkler to send you a preprint of his newly
        accepted paper on
        >>>> surface area comparisons and how to do them properly. I
        would have
        >>> said
        >>>> normalize by the 2/3 root of ICV (maybe David can comment
        on this as
        >>> well)
        >>>> cheers
        >>>> Bruce
        >>>>
        >>>>
        >>>> On Thu, 22 Mar 2012, Jeff Sadino wrote:
        >>>>
        >>>>> Hello,
        >>>>> For cortical thickness normalizations, Bruce said not to
        normalize
        >>> based on a HBM
        >>>>> abstract
        >>>>> (
        >>>
        
http://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg06646.html).
        >>>  Is
        >>>>> this still the consensus?
        >>>>>
        >>>>> For cortical volume, it is pretty standard to normalize
        to eTIV.
        >>>>>
        >>>>> For cortical surface area (jacobian), I couldn't find any
        >>> information
        >>> on the wiki.
        >>>>>  Does anyone have any recommendations?
        >>>>>
        >>>>> Thank you,
        >>>>> Jeff
        >>>>>
        >>>>>
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