In this work, a new quantitative method for the evaluation of the hemispheric dominance using fMRI data has been studied and experimentally evaluated. The quantitative evaluation of the Statistical ParametricMap (SPM) could be a valuable tool supporting the radiologist in the interpretation of the map and in the localization of the active area related to a specific task, avoiding a presumptive attitude in the analysis. This quantitative analysis is useful in the evaluation of the functional modifications, due to neuronal plasticity phenomena. The aim of this analysis is to extract a synthetic but comprehensive representation, the Activation Weighted Vector (AWV) from which to derive from the SPM indexes which describe in an objective way the distribution of the cerebral activations. Relevant information may be extracted from the clinical point of view, such as the hemispheric dominance.

Hemisphere Dominance Evaluation by using fMRI Activation Weighted Vector

PEDOIA, VALENTINA;BINAGHI, ELISABETTA
2012

Abstract

In this work, a new quantitative method for the evaluation of the hemispheric dominance using fMRI data has been studied and experimentally evaluated. The quantitative evaluation of the Statistical ParametricMap (SPM) could be a valuable tool supporting the radiologist in the interpretation of the map and in the localization of the active area related to a specific task, avoiding a presumptive attitude in the analysis. This quantitative analysis is useful in the evaluation of the functional modifications, due to neuronal plasticity phenomena. The aim of this analysis is to extract a synthetic but comprehensive representation, the Activation Weighted Vector (AWV) from which to derive from the SPM indexes which describe in an objective way the distribution of the cerebral activations. Relevant information may be extracted from the clinical point of view, such as the hemispheric dominance.
9780415621342
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11383/1787334
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