Abstract
Parkinson's disorder (PD) is a progressive, degenerative disease which mainly affects nerve cells in depth parts of the brain which are basal ganglia (thalamus) and sensory motor region. We investigated the functional raw data of the PD whole brain connectome consisting of many nodes using resting-state functional MRI with considered data as PD patients subjects and matched control subjects were analyzed using conn and with functional MRI's software library, here we are using compcor algorithm and sliding window method to reduce the noise in functional data and to increase the spatial resolution respectively. We focused mainly on information flow between default mode and sensory motor ROI's of brain regions by taking correlation coefficient as a measure. Our results suggest that PD patients showed reduced connectivity in thalamus and sensory motor nodes compared to controls, but increased connectivity in default mode network. However, there is an altered change in the functional modular organization of the PD brain connectome.
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