show weaker connectivity relative to controls. This work focuses on analyzing the brain activation for autistic subjects …, measured by fMRI during rest, relative to the control group using interhemispherical analysis. Though both groups activated …

Magnetic Resonance Imaging (fMRI) data. Such data are usually acquired during sensory or cognitive experiments that aims at … experimental design manipulates; second, estimating the underlying activation dynamics. The first issue is usually addressed in the … well-adapted framework to treat spatially unsmoothed real fMRI data both in the 3D acquisition volume and on the cortical …

resting state fMRI. The altered network topology is analysed by graphed theoretical measures and explains cognitive deficits …

develop a deconvolution estimator and show that it is minimax optimal and adaptive in the case of supersmooth error …

evolves the data, if this attractor exists. In chaotic theory, the deconvolution methods have been largely studied and there … large Monte Carlo simulations, we show the ability of this last deconvolution method. Then, we use the de-noised data set to …