?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Fractal+analysis+of+resting+state+functional+connectivity+of+the+brain&rft.creator=You%2C+Wonsang&rft.creator=Achard%2C+Sophie&rft.creator=Stadler%2C+J%C3%B6rg&rft.creator=Br%C3%BCckner%2C+Bernd&rft.creator=Seiffert%2C+Udo&rft.subject=Biophysics&rft.subject=Brain+Imaging&rft.subject=Computational+Neuroscience&rft.subject=Statistical+Models&rft.description=A+variety+of+resting+state+neuroimaging+data+tend+to+exhibit+fractal+behavior+where+its+power+spectrum+follows+power-law+scaling.+Resting+state+functional+connectivity+is+significantly+influenced+by+fractal+behavior+which+may+not+directly+originate+from+neuronal+population+activities+of+the+brain.+To+describe+the+fractal+behavior%2C+we+adopted+the+fractionally+integrated+process+(FIP)+model+instead+of+the+fractional+Gaussian+noise+(FGN)+since+the+FIP+model+covers+more+general+aspects+of+fractality+than+the+FGN+model.+We+also+introduce+a+novel+concept+called+the+nonfractal+connectivity+which+is+defined+as+the+correlation+of+short+memory+independent+of+fractal+behavior%2C+and+compared+it+with+the+fractal+connectivity+which+is+an+asymptotic+wavelet+correlation.+We+propose+several+wavelet-based+estimators+of+fractal+connectivity+and+nonfractal+connectivity+for+a+multivariate+fractionally+integrated+noise+(mFIN).+The+performance+of+these+estimators+was+evaluated+through+simulation+studies+and+the+analyses+of+resting+state+functional+MRI+data+of+the+rat+brain.&rft.date=2012-06&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F8466%2F1%2Fyou2012ijcnn.pdf&rft.identifier=++You%2C+Wonsang+and+Achard%2C+Sophie+and+Stadler%2C+J%C3%B6rg+and+Br%C3%BCckner%2C+Bernd+and+Seiffert%2C+Udo++(2012)+Fractal+analysis+of+resting+state+functional+connectivity+of+the+brain.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F8466%2F