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Roberto Viviani

Publications and source records attributed to Roberto Viviani.

3 recordsLinked to original sources

Non-normality and transformations of random fields, with an application to voxel-based morphometry.

Parametric tests of linear models for images modeled as random fields are based like ordinary univariate tests on distributional assumptions. It is here shown that the effect of departures from assumptions in random field tests is more pronounced than in the univariate condition. Simulations are presented investigating in detail the influence of smoothing, unbalancedness and leverages on empirical thresholds. In certain conditions, significance tests may become invalid. As a case study, the existence and effect of departures from normality of gray matter probability maps, commonly used in voxel-based morphometry, is investigated, as well as the effect of different transformation strategies involving estimating the degree of transformation from the data by maximum likelihood. The best results are achieved with a voxel-by-voxel transformation, suggesting heterogeneity of distributional form across the volume for this kind of data.

Adult↗

Transcranial magnetic stimulation in motor conversion disorder: a short case series.

The neurophysiologic mechanisms involved in nonorganic paralysis are unclear. Because there is no established standard therapy, the authors investigated the effect of repetitive transcranial magnetic stimulation (rTMS) in four patients with nonorganic limb paralysis. Within the framework of a treatment trial, the patients were treated over a period of 5-12 weeks with rTMS applied to the contralateral motor cortex. Stimulation frequency was 15 Hz, train length 2 seconds, intertrain interval 4 seconds; daily total number of stimuli 4000. In one patient, motor function was completely restored; two patients experienced a marked improvement correlating with rTMS treatment. By contrast, one patient who had been diagnosed as a malingerer did not improve. Apart from possible favorable psychological factors that could partly explain the rTMS-associated effects, high-frequency rTMS might have enhanced or substituted an insufficient input to the motor cortex from failing frontal executive areas, and thereby opened the way to a learning process that lead to the reacquisition of limb use. rTMS may have a therapeutic effect in motor conversion disorder and may help elucidate neurophysiologic aspects of this condition. The potential benefit of rTMS in motor conversion disorder should be evaluated in larger, controlled samples.

Adult↗

Functional principal component analysis of fMRI data.

We describe a principal component analysis (PCA) method for functional magnetic resonance imaging (fMRI) data based on functional data analysis, an advanced nonparametric approach. The data delivered by the fMRI scans are viewed as continuous functions of time sampled at the interscan interval and subject to observational noise, and are used accordingly to estimate an image in which smooth functions replace the voxels. The techniques of functional data analysis are used to carry out PCA directly on these functions. We show that functional PCA is more effective than is its ordinary counterpart in recovering the signal of interest, even if limited or no prior knowledge of the form of hemodynamic function or the structure of the experimental design is specified. We discuss the rationale and advantages of the proposed approach relative to other exploratory methods, such as clustering or independent component analysis, as well as the differences from methods based on expanded design matrices.

Adult↗