Çftçi, K.2022-05-112022-05-112010978-1424496716https://doi.org/10.1109/SIU.2010.5651274https://hdl.handle.net/20.500.11776/614418th IEEE Signal Processing and Communications Applications Conference, SIU 2010 -- 22 April 2010 through 24 April 2010 -- Diyarbakir -- 83388In this study the functional magnetic resonance imaging data from Alzheimer's patients and nondemented older adults are investigated using graph theory. Voxel-based graphs were built on the data obtained from an international data center and their clustering coefficients and characteristic path lengths were calculated. No significant differences were found between the two groups in these two parameters. Afterwards, the voxels acting as hubs and their corresponding brain regions were determined. Some differences were observed with respect to the hub locations. These results point to the fact that rather than a change in the global organization of the brain, Alzheimer's disease causes a functional change in some brain regions. ©2010 IEEE.tr10.1109/SIU.2010.5651274info:eu-repo/semantics/closedAccessAlzheimerAlzheimer'sAlzheimer's diseaseBrain networksBrain regionsClustering coefficientData centersFunctional changesFunctional magnetic resonance imagingGlobal organizationHub locationOlder adultsPath lengthTwo parameterBrainDiseasesGraph theoryResonanceSignal processingMagnetic resonance imagingConference Object9259282-s2.0-78651438672