this is for holding javascript data
Anisha Keshavan added subsubsection_Central_Motor_Conduction_Time__.tex
over 8 years ago
Commit id: ba66a36e6944b0fd1b9ac1108d3f9d570bc78879
deletions | additions
diff --git a/subsubsection_Central_Motor_Conduction_Time__.tex b/subsubsection_Central_Motor_Conduction_Time__.tex
new file mode 100644
index 0000000..5155039
--- /dev/null
+++ b/subsubsection_Central_Motor_Conduction_Time__.tex
...
\subsubsection{Central Motor Conduction Time and Resting State fMRI}
A seed-voxel analysis will be run with connectivity maps based on the left and right precentral gyrus seeds. Connectivity maps will be z-scored voxel-wise against the maps of the healthy controls. A voxel-wise OLS regression will be run on the connectivity maps to predict CMCT, EDSS, and NHPT. Next, a partial least squares analysis will be run to find components of the connectivity maps that correlate with each of the outcome variables. Partial least squares tends to overfit data, so I will implement cross-validation and permutation testing.
\subsection{Expected Results and Significance}
If the resting state metric correlates with CMCT, it could also have the prognostic value of CMCT, adding additional information to the prediction of future motor deficits. I expect the voxel-wise OLS analysis to yield regions of the brain that are differentially connected to the motor cortex based on neurophysiology and clinical evaluations. I predict that the patients with less motor deficits have adapted to damage caused by MS, and that this is reflected in the resting state connectivity map of the motor cortex. The regions of the brain highlighted by the connectivty maps could be regions that contribute to adaptive or maladaptive mechanisms to damage, and are regions that could be monitored during a clinical trial.
