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Enrico De Vita

Researcher at King's College London

Publications -  95
Citations -  3517

Enrico De Vita is an academic researcher from King's College London. The author has contributed to research in topics: Magnetic resonance imaging & Medicine. The author has an hindex of 26, co-authored 86 publications receiving 2794 citations. Previous affiliations of Enrico De Vita include University College London Hospitals NHS Foundation Trust & UCL Institute of Neurology.

Papers
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Journal ArticleDOI

Longitudinal evaluation of proton magnetic resonance spectroscopy metabolites as biomarkers in Huntington’s disease

TL;DR: There is some evidence of reduced total n-acetylaspartate and total creatine as the disease progresses and cross-sectional associations between select metabolites, namely total creatine and myo-inositol, and markers of disease progression, potentially highlighting the proposed roles of neuroinflammation and metabolic dysfunction in disease pathogenesis.
Book ChapterDOI

Single Voxel MR Spectroscopy in the Spinal Cord: Technical Challenges and Clinical Applications

TL;DR: Issues relating to coil selection, patient immobilization, sequence choice, and placement of voxels of interest for single-voxel MRS studies in the spinal cord are discussed here.
Journal ArticleDOI

Reproducibility of MRI-based white matter tract estimation using multi-fiber probabilistic tractography: effect of user-defined parameters and regions.

TL;DR: In this article, the authors evaluate both intrinsic and inter-user reproducibility of corticospinal tract estimation using multibre probabilistic tractography in six clinical datasets including motor functional and diffusion MRI.
Proceedings ArticleDOI

823 Ultra-high field 7 Tesla Magnetic Resonance Brain Imaging in Neonates: feasibility studies

TL;DR: In this paper , the feasibility of 7T MRI imaging for pediatric neurological disorders was investigated and the potential gains in anatomical and pathological sensitivity were explored. But, at standard MRI field strengths MRIs (1.5 and 3 Tesla) there are limitations in tissue contrast and resolution.