Lucia Maccioni
Ph.D. student

lucia.maccioni.1@phd.unipd.it
+39-049-827-7640
Room 301 – 3rd floor – DEI/A

Short Bio

Lucia Maccioni was born in 1996 in San Severino Marche (MC), Italy.

She received her Bachelor Degree in Biomedical Engineering in October 2018 from Università Politecnica delle Marche and her Master degree in Bioengineering in December 2020 from University of Padua.

Her Master thesis, under the supervision of Prof. Alessandra Bertoldo, concerned a graph theory based analysis of functional brain network alterations in Parkinson’s Disease patients from resting state functional Magnetic Resonance Imaging (MRI).

After graduation, she received a research fellowship from the Department of Neuroscience, University of Padua. Her research work concerned an MRI study of olfactory bulbs and structural features alteration in COVID-19 patients.

In collaboration with the FAIR group, she also worked on a study of cerebral blood flow alterations in Parkinson’s Disease patients through compartmental modelling of [18F]Flutemetamol dynamic Positron Emission Tomography (PET) imaging.

She is currently a PhD student in Information Engineering (XXXVII cycle) at the University of Padua under the supervision of Prof. Mattia Veronese and Prof. Alessandra Bertoldo.

Her main scientific research area regards the study of neuroinflammation through compartmental modelling of TSPO PET dynamics and the development of a normative model of inflammation.

Selected Publications

2019

Manuela, Moretto; Valentina, Baro; Sabrina, Brigadoi; Marco, Castellaro; Mariagiulia, Anglani; Antonio, Mazzoni; Elisabetta, Zanoletti; Andrea, Landi; Luca, Denaro; Francesco, Causin; Domenico, D'Avella; Alessandra, Bertoldo

Optimized DTI acquisition and tractography pipeline for a reliable reconstruction of the facial nerve in patients with vestibular schwannoma Conference

ISMRM 2019.

Links | BibTeX

All Publications

2019

Manuela, Moretto; Valentina, Baro; Sabrina, Brigadoi; Marco, Castellaro; Mariagiulia, Anglani; Antonio, Mazzoni; Elisabetta, Zanoletti; Andrea, Landi; Luca, Denaro; Francesco, Causin; Domenico, D'Avella; Alessandra, Bertoldo

Optimized DTI acquisition and tractography pipeline for a reliable reconstruction of the facial nerve in patients with vestibular schwannoma Conference

ISMRM 2019.

Links | BibTeX

Baro, Valentina; Landi, Andrea; Brigadoi, Sabrina; Castellaro, Marco; Moretto, Manuela; Anglani, Mariagiulia; Ermani, Mario; Causin, Francesco; Denaro, Luca; Bertoldo, Alessandra; others,

Preoperative prediction of facial nerve in patients with Vestibular Schwannomas: the role of diffusion tensor imaging. A systematic review Journal Article

In: World neurosurgery, 2019.

BibTeX