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Maria Eugenia Caligiuri

Researcher at Magna Græcia University

Publications -  52
Citations -  1248

Maria Eugenia Caligiuri is an academic researcher from Magna Græcia University. The author has contributed to research in topics: Epilepsy & Medicine. The author has an hindex of 13, co-authored 43 publications receiving 696 citations. Previous affiliations of Maria Eugenia Caligiuri include National Research Council.

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Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study.

Christopher D. Whelan, +105 more
- 01 Feb 2018 - 
TL;DR: In the largest neuroimaging study to date, Whelan and colleagues report robust structural alterations across and within epilepsy syndromes, including shared volume loss in the thalamus, and widespread cortical thickness differences.
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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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White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study.

Sean N. Hatton, +95 more
- 01 Aug 2020 - 
TL;DR: Overall, patients with epilepsy showed white matter abnormalities in the corpus callosum, cingulum and external capsule, with differing severity across epilepsy syndromes, and microstructural abnormalities across major association, commissural, and projection fibres in a large multicentre study of epilepsy are demonstrated.
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Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study.

Sara Larivière, +69 more
- 18 Nov 2020 - 
TL;DR: This cross-sectional mega-analysis integrated neuroimaging and connectome analysis to identify network associations with atrophy patterns in adults with epilepsy and healthy controls and provided deeper insights into the macroscale features that shape the pathophysiology of common epilepsies.
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Importance of Multimodal MRI in Characterizing Brain Tissue and Its Potential Application for Individual Age Prediction

TL;DR: The best quantitative predictors in several brain regions were iron deposition and microstructural damage, rather than macroscopic tissue atrophy, suggesting that multiple predictors better capture age-induced tissue alterations.