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Daniela Perani

Researcher at Vita-Salute San Raffaele University

Publications -  379
Citations -  32933

Daniela Perani is an academic researcher from Vita-Salute San Raffaele University. The author has contributed to research in topics: Dementia & Cognition. The author has an hindex of 88, co-authored 350 publications receiving 30491 citations. Previous affiliations of Daniela Perani include University of Milan & University of Milano-Bicocca.

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Functional Basis of Memory Impairment in Multiple Sclerosis: A [18F]FDG PET Study

TL;DR: The findings indicate that hypometabolism of thalamic and deep cortical gray structures of the temporal lobe is associated with episodic memory dysfunction in MS and pathological performance on tests designed to assess frontal functions was associated with widespread reduction of glucose metabolism.
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Impairment of neocortical metabolism predicts progression in Alzheimer's disease

TL;DR: A prospective longitudinal analysis showed a significant association between initial metabolic impairment and subsequent clinical deterioration in patients with mild cognitive deficits, and the risk of deterioration was up to 4.7 times higher if the metabolism was severely impaired than with mild or absent metabolic impairment.
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Metabolic Impairment in Human Amnesia: A PET Study of Memory Networks

TL;DR: In vivo evidence for the role of a functional network as a basis of human memory is found in patients with “pure” amnesia, finding a significant bilateral reduction in metabolism in a number of interconnected cerebral regions.
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Basal ganglia and thalamo-cortical hypermetabolism in patients with spasmodic torticollis

TL;DR: The hypothesis that a dysfunction of a subcortical‐Cortical motor network may play a role in the pathogenesis of focal dystonia is supported, in agreement with the experimental dystonias models.
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Visuomotor Transformations for Reaching to Memorized Targets: A PET Study

TL;DR: The activation of two partially distinct cerebral networks in these two motor tasks reflects the different nature of signal processing involved and appears characteristic of a network for visuospatial working memory.