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Paolo Perrotta

Researcher at National Research Council

Publications -  12
Citations -  414

Paolo Perrotta is an academic researcher from National Research Council. The author has contributed to research in topics: Diffusion MRI & Tractography. The author has an hindex of 11, co-authored 12 publications receiving 339 citations.

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Journal ArticleDOI

Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review

TL;DR: It is concluded that, in order to avoid artifacts and exclude the several sources of bias that may influence the analysis, an optimal method should comprise a careful preprocessing of the images, be based on multimodal, complementary data, take into account spatial information about the lesions and correct for false positives.
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The corticospinal tract profile in amyotrophic lateral sclerosis.

TL;DR: This study provides a useful new neuroimaging tool to characterize ALS‐related neurodegenerative processes by means of CST profile, and demonstrated that specific microstructural changes in the upper part of the brainstem might be considered as a valid biomarker.
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Tractography in amyotrophic lateral sclerosis using a novel probabilistic tool: a study with tract-based reconstruction compared to voxel-based approach.

TL;DR: DTI tractography metrics provided by TRACULA perfectly agree with those previously reported in several post-mortem and DTI studies, thus demonstrating the accuracy of this method in characterizing the microstructural changes occurring in ALS.
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Effect of aging on magnetic resonance measures differentiating progressive supranuclear palsy from Parkinson's disease.

TL;DR: The MRPI appears to be a more reliable imaging measurement compared with midbrain/pons values for differentiating PSP from PD and controls in an elderly population.
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Cerebellar-parietal dysfunctions in multiple sclerosis patients with cerebellar signs.

TL;DR: The presence of the cerebellar signs drastically impacts on the neurofunctional networks underlying working memory in MS, offering new insights into the pathophysiological mechanisms of cognition in MS.