Simona Schiavi

ORCID: 0000-0003-1641-186X
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About
Contact & Profiles
Research Areas
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Multiple Sclerosis Research Studies
  • MRI in cancer diagnosis
  • Fetal and Pediatric Neurological Disorders
  • Bone and Joint Diseases
  • Optical Imaging and Spectroscopy Techniques
  • NMR spectroscopy and applications
  • Genetic Neurodegenerative Diseases
  • Systemic Lupus Erythematosus Research
  • Advanced Mathematical Modeling in Engineering
  • RNA regulation and disease
  • Hereditary Neurological Disorders
  • Neurogenesis and neuroplasticity mechanisms
  • Botulinum Toxin and Related Neurological Disorders
  • Medical Imaging Techniques and Applications
  • Neural dynamics and brain function
  • Lysosomal Storage Disorders Research
  • Peripheral Neuropathies and Disorders
  • Brain Tumor Detection and Classification
  • Effects of Vibration on Health
  • Stroke Rehabilitation and Recovery
  • Cerebral Venous Sinus Thrombosis
  • Ultrasound Imaging and Elastography

Columbus Superconductors (Italy)
2023-2025

University of Verona
2018-2025

University of Genoa
2018-2025

Cardiff University
2023-2024

Ospedale Policlinico San Martino
2019-2023

University of Basel
2022

University of Helsinki
2022

Helsinki University Hospital
2022

Centre d'Imagerie BioMedicale
2021-2022

École Polytechnique Fédérale de Lausanne
2019-2021

Kurt G. Schilling François Rheault Laurent Petit Colin B. Hansen Vishwesh Nath and 95 more Fang‐Cheng Yeh Gabriel Girard Muhamed Baraković Jonathan Rafael‐Patiño Thomas Yu Elda Fischi‐Gomez Marco Pizzolato Mario Ocampo‐Pineda Simona Schiavi Erick J. Canales‐Rodríguez Alessandro Daducci Cristina Granziera Giorgio M. Innocenti Jean‐Philippe Thiran Laura Mancini Stephen Wastling Sirio Cocozza Maria Petracca Giuseppe Pontillo Matteo Mancini Sjoerd B. Vos Vejay N. Vakharia John S. Duncan Helena Melero Lidia Manzanedo Emilio Sanz‐Morales Ángel Peña-Melián Fernando Calamante Arnaud Attyé Ryan P. Cabeen Laura Korobova Arthur W. Toga Anupa A. Vijayakumari Drew Parker Ragini Verma Ahmed Radwan Stefan Sunaert Louise Emsell Alberto De Luca Alexander Leemans Claude J. Bajada Hamied Haroon Hojjatollah Azadbakht Maxime Chamberland Sila Genc Chantal M. W. Tax Ping-Hong Yeh Rujirutana Srikanchana Colin D. McKnight Joseph Yang Jian Chen Claire E. Kelly Chun‐Hung Yeh Jérôme Cochereau Jerome J. Maller Thomas Welton Fabien Almairac Kiran K. Seunarine Chris A. Clark Fan Zhang Nikos Makris Alexandra J. Golby Yogesh Rathi Lauren J. O’Donnell Yihao Xia Dogu Baran Aydogan Yonggang Shi Francisco Guerreiro Fernandes Mathijs Raemaekers Shaun Warrington Stijn Michielse Alonso Ramírez-Manzanares Luis Concha Ramón Aranda Mariano Rivera Meraz Garikoitz Lerma‐Usabiaga Lucas Agudiez Roitman Lucius S. Fekonja Navona Calarco Michael Joseph Hajer Nakua Aristotle N. Voineskos Philippe Karan Gabrielle Grenier Jon Haitz Legarreta Nagesh Adluru Veena A. Nair Vivek Prabhakaran Andrew L. Alexander Koji Kamagata Yuya Saito Wataru Uchida Christina Andica Masahiro Abe Roza G. Bayrak

White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white pathways in vivo human brains. However, like other analyses complex data, there is considerable variability protocols and techniques. This can result different reconstructions same intended pathways, which directly affects results, quantification, interpretation. In this study, we aim evaluate quantify that arises from for segmentation. Through an open call users...

10.1016/j.neuroimage.2021.118502 article EN cc-by-nc-nd NeuroImage 2021-08-22

Diffusion magnetic resonance imaging is a noninvasive modality that has been extensively used in the literature to study neuronal architecture of brain wide range neurological conditions using tractography. However, recent studies highlighted anatomical accuracy reconstructions inherently limited and challenged its appropriateness. Several solutions have proposed tackle this issue, but none them proved effective overcome fundamental limitation. In work, we present novel processing framework...

10.1126/sciadv.aba8245 article EN cc-by Science Advances 2020-07-29

Damage to the myelin sheath and neuroaxonal unit is a cardinal feature of multiple sclerosis; however, detailed characterization interaction between axon damage in vivo remains challenging. We applied water multi-shell diffusion imaging quantify relative axons (i) among different lesion types; (ii) normal-appearing tissue; (iii) across sclerosis clinical subtypes healthy controls. also assessed relation focal myelin/axon with disability serum neurofilament light chain as global biological...

10.1093/brain/awab088 article EN cc-by-nc Brain 2021-03-06

Neuropathological studies have shown that multiple sclerosis (MS) lesions are heterogeneous in terms of myelin/axon damage and repair as well iron content. However, it remains a challenge to identify specific chronic lesion types, especially remyelinated lesions, vivo patients with MS.We performed 3 studies: (1) cross-sectional study prospective cohort 115 MS 76 healthy controls, who underwent T magnetic resonance imaging (MRI) for quantitative susceptibility mapping (QSM), myelin water...

10.1002/ana.26441 article EN cc-by-nc-nd Annals of Neurology 2022-06-17

Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While technical advances spearheaded Human Connectome Project (HCP) led to significant improvements dMRI data quality, it remains unclear how these should be analyzed maximize accuracy. Over a period two years, we engaged community IronTract Challenge, which aims answer this question leveraging unique dataset. Macaque brains that both tracer injections and ex...

10.1016/j.neuroimage.2022.119327 article EN cc-by-nc-nd NeuroImage 2022-05-26

Abstract Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance imaging biophysical signal model devised to probe in vivo microstructural information the gray matter (GM). This requires acquisitions that include b values are at least six times higher than those used clinical practice. Such high required disentangle contribution of water diffusing soma from neurites extracellular space, while keeping time as short possible minimize potential bias due exchange....

10.1002/hbm.26416 article EN cc-by-nc Human Brain Mapping 2023-07-17

Tractography is a powerful tool to study brain connectivity in vivo, but it well known suffer from an intrinsic trade-off between sensitivity and specificity. A critical - usually underrated parameter choose that can heavily impact the quality of estimates number streamlines be reconstructed for given data set. In fact, improved by generating more streamlines, as all real anatomical connections are likely reconstructed, lots false positives inevitably introduced, too. Consequently, so-called...

10.1016/j.media.2024.103101 article EN cc-by Medical Image Analysis 2024-02-02

The aim of this study was to determine the feasibility diffusion basis spectrum imaging in multiple sclerosis at 7 T and investigate pathological substrates tissue damage lesions normal-appearing white matter. To end, 43 patients with (24 relapsing-remitting, 19 progressive), 21 healthy control subjects were enrolled. White matter classified T1-isointense, T1-hypointense black holes. Mean values metrics (fibres, restricted non-restricted fractions, axial radial diffusivities fractional...

10.1093/brain/awaa381 article EN Brain 2020-10-10

Abstract Graph theory and network modelling have been previously applied to characterize motor structural topology in multiple sclerosis (MS). However, between‐group differences disclosed by graph analysis might be primarily driven discrepancy density, which is likely reduced pathologic conditions as a consequence of macroscopic damage fibre loss that may result less streamlines properly traced. In this work, we employed the convex optimization for microstructure informed tractography...

10.1002/hbm.24989 article EN cc-by Human Brain Mapping 2020-05-15

To date, we have scarce information about the relative myelination level of different fiber bundles in human brain. Indirect evidence comes from postmortem histology data but histological stainings are unable to follow a specific bundle and determine its intrinsic myelination. In this context, quantitative MRI, diffusion MRI tractography may offer viable solution by providing, respectively, voxel-wise myelin sensitive maps pathways major tracts Then, "tractometry" can be used combine these...

10.1016/j.neuroimage.2022.118922 article EN cc-by-nc-nd NeuroImage 2022-01-19

Abstract Understanding how human brain microstructure influences functional connectivity is an important endeavor. In this work, magnetic resonance imaging data from 90 healthy participants were used to calculate structural matrices using the streamline count, fractional anisotropy, radial diffusivity, and a myelin measure (derived multicomponent relaxometry) assign connection strength. Unweighted binarized also constructed. Magnetoencephalography resting-state those matrices, via...

10.1162/netn_a_00187 article EN cc-by Network Neuroscience 2021-01-01

Introduction The Central Vein Sign (CVS) has been suggested as a potential biomarker to improve diagnostic specificity in multiple sclerosis (MS). Nevertheless, the impact of comorbidities on CVS performance poorly investigated so far. Despite similar features shared by MS, migraine and Small Vessel Disease (SVD) at T2-weighted conventional MRI sequences, ex-vivo studies demonstrated their heterogeneous histopathological substrates. If inflammation, primitive demyelination axonal loss...

10.3389/fneur.2023.1084661 article EN cc-by Frontiers in Neurology 2023-03-08
Kurt G. Schilling François Rheault Laurent Petit Colin B. Hansen Vishwesh Nath and 95 more Fang‐Cheng Yeh Gabriel Girard Muhamed Baraković Jonathan Rafael‐Patiño Thomas Yu Elda Fischi‐Gomez Marco Pizzolato Mario Ocampo‐Pineda Simona Schiavi Erick J. Canales‐Rodríguez Alessandro Daducci Cristina Granziera Giorgio M. Innocenti Jean‐Philippe Thiran Laura Mancini Stephen Wastling Sirio Cocozza Maria Petracca Giuseppe Pontillo Matteo Mancini Sjoerd B. Vos Vejay N. Vakharia John S. Duncan Helena Melero Lidia Manzanedo Emilio Sanz‐Morales Ángel Peña-Melián Fernando Calamante Arnaud Attyé Ryan P. Cabeen Laura Korobova Arthur W. Toga Anupa A. Vijayakumari Drew Parker Ragini Verma Ahmed Radwan Stefan Sunaert Louise Emsell Alberto De Luca Alexander Leemans Claude J. Bajada Hamied Haroon Hojjatollah Azadbakht Maxime Chamberland Sila Genc Chantal M. W. Tax Ping‐Hong Yeh Rujirutana Srikanchana Colin D. McKnight Joseph Yang Jian Chen Claire E. Kelly Chun‐Hung Yeh Jérôme Cochereau Jerome J. Maller Thomas Welton Fabien Almairac Kiran K. Seunarine Chris A. Clark Fan Zhang Nikos Makris Alexandra J. Golby Yogesh Rathi Lauren J. O’Donnell Yihao Xia Dogu Baran Aydogan Yonggang Shi Francisco Guerreiro Fernandes Mathijs Raemaekers Shaun Warrington Stijn Michielse Alonso Ramírez-Manzanares Luis Concha Ramón Aranda Mariano Rivera Meraz Garikoitz Lerma‐Usabiaga Lucas Agudiez Roitman Lucius S. Fekonja Navona Calarco Michael Joseph Hajer Nakua Aristotle N. Voineskos Philippe Karan Gabrielle Grenier Jon Haitz Legarreta Nagesh Adluru Veena A. Nair Vivek Prabhakaran Andrew L. Alexander Koji Kamagata Yuya Saito Wataru Uchida Christina Andica Masahiro Abe Roza G. Bayrak

Abstract White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white pathways in vivo human brains. However, like other analyses complex data, there is considerable variability protocols and techniques. This can result different reconstructions same intended pathways, which directly affects results, quantification, interpretation. In this study, we aim evaluate quantify that arises from for segmentation. Through an open call users...

10.1101/2020.10.07.321083 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-10-08

Abstract The segmentation of brain structures is a key component many neuroimaging studies. Consistent anatomical definitions are crucial to ensure consensus on the position and shape structures, but segmentations prone variation in their interpretation execution. White‐matter (WM) pathways global defined by local landmarks, which leads being difficult convey, learn, or teach. Moreover, complex WM representation using tractography (streamlines) make design evaluation dissection protocols...

10.1002/hbm.25777 article EN cc-by-nc Human Brain Mapping 2022-02-10

Abstract Probabilistic generative network models have offered an exciting window into the constraints governing human connectome’s organization. In particular, they highlighted economic context of formation and special roles that physical geometry self-similarity likely play in determining topology. However, a critical limitation these is do not consider strength anatomical connectivity between regions. This significantly limits their scope to answer neurobiological questions. The current...

10.1101/2023.06.23.546237 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-06-25

<h3>BACKGROUND AND PURPOSE:</h3> MS lesions exhibit varying degrees of axonal and myelin damage. A comprehensive description lesion phenotypes could contribute to an improved radiologic evaluation smoldering inflammation remyelination processes. This study aimed identify in vivo distinct types using quantitative susceptibility mapping mapping–weighted imaging characterize them through T1-relaxometry, mapping, diffusion MR imaging. The spatial distribution relation ventricular CSF was...

10.3174/ajnr.a8271 article EN American Journal of Neuroradiology 2024-05-30

Abstract Objective To investigate, in two cohorts including patients with multiple sclerosis (MS) and migraine, (i) the prevalence of “central vein sign” (CVS), (ii) spatial distribution positive CVS (CVS+) lesions, (iii) threshold CVS+ lesions able to distinguish MS from migraine high sensitivity specificity. Methods A total 70 MS/clinically isolated syndrome 50 age‐ sex‐matched underwent a 3‐T magnetic resonance imaging scan. The was evaluated according current guidelines, excluding eight...

10.1111/head.14902 article EN Headache The Journal of Head and Face Pain 2025-01-20

Spasticity represents a core clinical feature of Autosomal Recessive Spastic Ataxia Charlevoix-Saguenay (ARSACS) patients. Nonetheless, its pathophysiological substrate is poorly investigated. We assessed the microstructural integrity corticospinal tract (CST) using diffusion MRI (dMRI) via profilometry analysis to understand possible role in development spasticity ARSACS. In this multi-center prospective study, data 37 ARSACS (M/F = 21/16; 33.4 ± 12.4 years) and 29 controls 13/16; 42.1 17.2...

10.1111/ene.70128 article EN cc-by-nc-nd European Journal of Neurology 2025-04-01

Abstract The g-ratio of a myelinated axon is defined as the ratio inner-to-outer diameter myelin sheath and modulates conduction speed action potentials along axons. This can be mapped in vivo at macroscopic scale across entire human brain using multi-modal MRI sampled white matter streamlines reconstructed from diffusion-weighted images to derive tract. tractometry approach has shown spatiotemporal variations tracts networks. However, biased by partial volume effects where voxels contain...

10.1162/imag.a.49 article EN cc-by Imaging Neuroscience 2025-01-01
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