deletions | additions       diff --git a/In_cite_streitburger2014impact_the_researchers__.tex b/In_cite_streitburger2014impact_the_researchers__.tex  index e67732f..78ead51 100644  --- a/In_cite_streitburger2014impact_the_researchers__.tex  +++ b/In_cite_streitburger2014impact_the_researchers__.tex 
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In \cite{streitburger2014impact}, the researchers found that different pulse sequences and hardware (12 ch vs 32ch RF coil) altered the estimate of the coefficient on gray matter density in an age regression. This is what we are hypothesizing for follows from our hypothesis on the scaling property of  regional volumes as well. from MRI.  $D_{u,j}$ is the \textit{unobserved} effect - in the case of \cite{streitburger2014impact}, the true GM density dependence on age that cannot be measured directly. We propose have proposed  that the reason for the differences seen in regional volume analyses (and possibly VBM) is was  due to different scaling biases, $a_j$, for different pulse sequences. So it It  is definitely true that $a_j$ and $D_{Y,j}$(the \textit{observed} effect) are correlated, but we do not think there is a correlation between the assumption of independence of  the \textit{unobserved} effect ($D_{U,j}$) with $a_j$, which $a_j$ needs to be validated, because it  is only dependent on scanner hardware/acquisition. possible that scaling factors may be different for different disease groups.  To verify this assumption, we calculated scaling factors on MS patients and healthy controls and could not detect differences between them. Therefore, in the case of healthy controls (aged 24-57) and MS patients, $a_j$, is only dependent on scanner hardware/acquisition.