Functional Connectivity of the Motor Cortex: Test-retest Reliability
ProQuest, 2007 - 138 pages
Studies involving functional connectivity of the brain are of growing interest due to its significance in understanding the underlying mechanisms of the resting brain and also its potential for clinical applications. This work involves examining the spatial consistency of functional connectivity within the primary motor cortex of the resting brain within and across sessions using test-retest methodology. Seven subjects underwent three resting state scans in each of three separate sessions for a total of nine resting state scans. In each of the sessions a functional MRI involving the motor cortex was also obtained. A generalized linear model (GLM) was used to extract voxels that were significantly correlated with the task from the functional MRI scan. The most strongly correlated voxels were used as seed voxels to generate functional connectivity maps from the resting state scans using GLM analysis.
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IMAGING PROTOCOL AND DATA ACQUISITION 19 3 1 Imaging Protocol
200 seed voxels AFNI function cardiac data coefficient of variation consistency of functional CV of Roverlap data after filtering data after physiological data after sICA data and raw decomposition and physiological deviation of Roverlap deviation of Roverlap_avg DICOM filtering of physiological filtering using RETROICOR fMRI functional connectivity maps functional MRI given session independent component analysis Magnetic Resonance Imaging Matlab Mean and standard measure the consistency MRI data number of overlapping number of seed overlapping voxels physiological components identified physiological data physiological filtering physiological noise primary motor cortex protons raw data raw ICA data represent the three respiratory data Rest Scan resting brain resting state network resting state scans RETROICOR FC2 Roverlap and Roverlap_avg Roverlap for raw Roverlap_avg across sessions Roverlap_avg for raw Scan 1 Rest sets of seed shown in figure sICA decomposition signal Single slice spatial maps Spatial Normalization standard deviation Subj Subj2-Sess3 Subj4-Sess3 three resting voxels were selected