Coordinators: Dr. Federico Giove, Prof. Bruno Maraviglia Participants:
Project Name Position Until…
T-MENS
Federico Giove Primo ricercatore TD
(lead researcher, fixed term) Under stabilization Daniele Mascali Assegno di ricerca
(postdoc fellowship) 1/2019 Marta Moraschi Assegno di ricerca
(postdoc fellowship) 9/2019
MICROBRADAM
Maria G. Di Trani Assegno di ricerca
(postdoc fellowship) 6/2020 Riccardo De Feo Assegno di ricerca
(postdoc fellowship) 6/2020
GR MOH @ Fondazione Santa Lucia
Michela Fratini -
Mauro Di Nuzzo -
Fabio Mangini -
Laura Maugeri -
Bruno Maraviglia -
PAMINA
Tommaso Gili Ricercatore TD
(researcher, fixed term) Expired 2017 Fabrizio Piras Ricercatore TD
(researcher, fixed term) Expired 2017 Francesca Assogna Assegno di ricerca
(postdoc fellowship) Expired 2017 Andrea Veroli Assegno di ricerca
(postdoc fellowship) Expired 4/2018
TNEU Tecnologie MRI per le neuroscienze
Current staf
External collaborators Associate
Former staf
(≥2017)
Place of Work & Collaborations:
Centro Fermi MARBILab @ Santa Lucia Foundation
Company/Consortium/Public-servicecorporation/Research infrastructure
University/research institution
Cardif University Brain Research Imaging
Centre (CUBRIC), Cardif, UK Center for Magnetic Resonance Research (CMRR), University of Minnesota,
Minneapolis, MN, USA
CNR, Istituto dei sistemi complessi, Roma
CNR, Istituto di Nanotecnologia, Roma Department of Physics, University of
Kuopio (Finland) Dipartimento di Neuroscienze, Università Tor Vergata, Roma
Dipartimento di Scienze Biomediche,
Università di Modena e Reggio Emilia Dipartimento di Scienze Neurologiche,
Università La Sapienza, Roma Dipartimento di Medicina Sperimentale, Università di Genova
Dipartimento di Neuroscienze, Università Tor Vergata, Roma
Charles River Oy, Kuopio, Finland Fondazione Santa Lucia IRCCS, Roma Policlinico Sant’Andrea, Roma
Siemens Healthineers
T-MENS MRI Techniques for brain investigation
TNEU
Brain metabolism and energetics
(f)MRS, fMRI
(Physiology, epilepsy, cancer)
Computational
approaches/simulation Advanced MRS methods
Brain steady state networks
fMRI (physiology, neurodegeneration) Methods
Spinal cord fMRI function, microstructure Biophysics
PAMINA
Platform for advanced applications to clinical research
MICROBRADAM
New techniques for
assessment of brain
damage
T-MENS MRI Techniques for brain investigation
TNEU
Brain metabolism and energetics
(f)MRS, fMRI
(Physiology, epilepsy, cancer)
Computational
approaches/simulation Advanced MRS methods
Brain steady state networks
fMRI (physiology, neurodegeneration) Methods
Spinal cord fMRI function, microstructure Biophysics
MICROBRADAM New techniques for assessment of brain damage
MICROBRADAM-2
• Correlation
function/structure/metabol ism
• Fully exploit existing
datasets
Iannetti & Wise, MRI, 2007
Goense et al, MRI, 2006
1. P Bednařík, I Tkáč et al. Neurochemical responses to chromatic and achromatic stimuli in the human visual cortex. Journal of Cerebral Blood Flow and Metabolism. 2018;347-349, doi: 10.1177/0271678X17695291
2. A Romano, M Moraschi et al. White matter involvement in young non-demented Down’s syndrome subjects: a tract-based spatial statistic analysis. Neuroradiology. 2018;1335-1341, doi:
10.1007/s00234-018-2102-5
3. S Tommasin, D Mascali et al. Scale-invariant rearrangement of resting state networksin the human brain under sustained stimulation. Neuroimage. 2018;570-581, doi:
10.1016/j.neuroimage.2018.06.006
4. F Giove, I Ronen. Editorial: Proceedings of the International School on Magnetic Resonance and Brain Function – XII Workshop. Frontiers in Physics. 2018;18, doi:
10.3389/fphy.2018.00018
5. D Mascali, M DiNuzzo et al. Disruption of Semantic Network in Mild Alzheimer’s Disease Revealed by Resting-State fMRI. Neuroscience. 2018;38-48, doi:
10.1016/j.neuroscience.2017.11.030
6. L Maugeri, M DiNuzzo et al. Fractal dimension analysis of high-resolution X-ray phase contrast micro-tomography images at diferent threshold levels in a mouse spinal cord . Condensed Matter. 2018;48, doi: 10.3390/condmat3040048
7. MP Harms, LH Somerville et al. Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects. Neuroimage.
2018;972-984, doi 10.1016/j.neuroimage.2018.09.060
8. E Stefanutti, A Sierra et al. Assessment of the efects of diferent sample perfusion procedures on phase-contrast tomographic images of mouse spinal cord. Journal of Instrumentation . 2018;C03027, doi 10.1088/1748-0221/13/03/C03027
9. L Maugeri, M Moraschi et al. Assessing denoising strategies for fMRI in spinal cord and Brainstem. Journal of Instrumentation. 2018;C02028, doi 10.1088/1748-0221/13/02/C02028 10. F Assogna, C Pellicano et al. Psychiatric profile of motor subtypes of de novo drug-naïve Parkinson's disease patients. Brain Behav. 2018;e01094, doi: 10.1002/brb3.1094
11. TGM van Erp, E Walton et al. Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biol Psychiatry. 2018;644-654 , doi: 10.1016/j.biopsych.2018.04.023
12. MD Orfei, F Assogna et al. Anosognosia for cognitive and behavioral symptoms in Parkinson's disease with mild dementia and mild cognitive impairment: Frequency and neuropsychological/neuropsychiatric correlates. Parkinsonism Relat Disord. 2018;62-67, doi: 10.1016/j.parkreldis.2018.04.015
13. M Sforza, F Assogna et al. Orthostatic hypotension acutely impairs executive functions in Parkinson's disease. Neurol Sci. 2018;1459-1462, doi: 10.1007/s10072-018-3394-2
14. D Rinaldi, F Assogna et al. Rasagiline for dysexecutive symptoms during wearing-of in Parkinson's disease: a pilot study. Neurol Sci . 2018;141-143, doi: 10.1007/s10072-017- 3123-2
15. T Gili, V Ciullo, G Spalletta. Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem. Front Comput Neurosci. 2018;75, doi: 10.3389/fncom.2018.00075 16. V Ciullo, D Vecchio et al. Segregation of Brain Structural Networks Supports Spatio-Temporal Predictive Processing. Front Hum Neurosci. 2018;212, doi: 10.3389/fnhum.2018.00212 17. N Banaj, F Piras et al. Cognitive and psychopathology correlates of brain white/grey matter structure in severely psychotic schizophrenic inpatients. Schizophrenia Research: Cognition.
2018;29-36, DOI: 10.1016/j.scog.2018.02.001
18. F Piras, M Iorio et al. Multicenter studies of brain morphometry. Neuromethods. 2018;203-214, DOI: 10.1007/978-1-4939-7647-8_13
19. E Walton, DP Hibar et al. Prefrontal cortical thinning links to negative symptoms in schizophrenia via the ENIGMA consortium. Psychological Medicine. 2018;82-94, doi:
10.1017/S0033291717001283
20. MD Astorino, R Fastampa et al. Polarization-maintaining reflection-mode THz time-domain spectroscopy of a polyimide based ultra-thin narrow-band metamaterial absorber. Scientific Reports. 2018;1985, doi: 10.1038/s41598-018-20429-7
21. E Malucelli, A Procopio et al. Single cell versus large population analysis: cell variability in elemental intracellular concentration and distribution. Analytical and bioanalytical chemistry.
2018;337-348, doi: 10.1007/s00216-017-0725-8
Publications 2018
International journal
Rome, December 2018 Centro Fermi Study Days 7
Publications WIP
1. Riccardo De Feo and Federico Giove. Towards an efficient segmentation of small rodents brain: a short critical review. Journal of Neuroscience Methods (201?). Submitted.
2. Fabio Mangini, Marta Moraschi, Daniele Mascali, TBD, Silvia Mangia, and Federico Giove. Towards whole brain mapping of hemodynamic response function (HRF MAP). Neuroimage (201?). Ready to be submitted.
3. Mauro DiNuzzo, Daniele Mascali, Marta Moraschi, Giorgia Bussu, Laura Maugeri, Fabio Mangini, and Federico Fratini Michela Giove. Brain networks underlying eye’s pupil dynamics.
Frontiers in Neuroscience (201?). In preparation.
4. Michela Fratini, Ali Abdollahzadeh, Mauro DiNuzzo, Raimo A. Salo, Federico Giove, Olli Gröhn, and Alejandra Sierra Lopez. Unveiling neurodegeneration in the CNS with a multidisciplinary and multiscale approach. Frontiers in (201?). In preparation.
5. Michela Fratini, Mauro DiNuzzo, Paul E. Summers, Laura Maugeri, Marta Moraschi, Fabio Mangini, Stefania Favilla, Carlo A. Porro, and Federico Giove. Motor task-related functional MRI response in the human spinal cord. Frontiers in … (201?). In preparation.
6. Marta Moraschi, Daniele Mascali, Silvia Tommsain, Tommaso Gili, Ibrahim Eid Hassan, Michela Fratini, Mauro DiNuzzo, Richard G. Wise, Silvia Mangia, Emiliano Macaluso, and Federico Giove. Modular reorganization of Ventral Attention Network during a sustained WM task (DMN VAN). Frontiers in …(201?). In preparation.
7. Fabio Mangini, Mauro DiNuzzo, Daniele Mascali, Laura Maugeri, Marta Moraschi, Federico Giove, and Michela Fratini. The role of vessel orientation in a functional Magnetic Resonance Imaging Blood Oxygen Level Dependent model. Frontiers in Physics (201?). In preparation.
8. Daniele Mascali, Silvia Tommsain, Marta Moraschi, Tommaso Gili, Ibrahim Eid Hassan, Michela Fratini, Mauro DiNuzzo, Richard G. Wise, Silvia Mangia, Emiliano Macaluso, and Federico Giove. The impact of head motion on task-related changes in functional connectivity (MOTION). Frontiers in Neuroscience (201?). In preparation.
9. Daniele Mascali, Giorgia Bussu, Mauro DiNuzzo, Silvia Mangia, Emiliano Macaluso, TBD, and Federico Giove. Global reorganization of brain networks during visuospatial attention (VISANET). Frontiers in Physiology (201?). In preparation.
10. Daniele Mascali, Silvia Tommasin, Silvia Mangia, TBD, and Federico Giove. Connectivity radius: a new metric for functional networks assessment. TBD (201?). In preparation.
11. Marco Palombo, Emiliano Macaluso, Guglielmo Genovese, Marco Bozzali, Federico Giove, and Silvia Capuani. fMRI experiments based on the new difusion index show independent and complementary information compared to those provided by ADC. Frontiers in Physics (201?). In preparation.
12. Federico Giove, Marta Moraschi, Alessia Rossetti, Gisela E. Hagberg, Bruno Maraviglia, TBD, Silvia Mangia, and Mauro DiNuzzo. The metabolic response of human primary visual cortex to stimulation depends on visual perception. TBD (201?). In preparation.
Rome, December 2018 Centro Fermi Study Days 8
• Published on international journal: 20 research papers + 1 editorial
• Ongoing: 12
• >7 communications to international congress (oral, invited, contributed)
• 1 edited special issue (Frontiers in Physics, Frontiers in Neuroscience, Proceedings of ISMRBF, Erice, April-May 2016)
• 1 special issue ongoing (Frontiers in Physics, Frontiers in Neuroscience, Proceedings of ISMRBF, Erice, April 2018)
• 1 Workshop (ISMRBF, Erice, 22-29 April, 2018)
• 1 Workshop being organized (ISMRBF, Erice, May 2020)
• Seminars to PhD and undergraduate students
Dissemination overview
http://ismrbf.marbilab.eu/workshops/proceedings/proceedings-2016
Rome, December 2018 Centro Fermi Study Days 10
Milestones 2018
PAMINA:
Release of the platform, project end (100%)
Dissemination of the results (100%), possible industrial developments
MICROBRADAM/TMENS:
Progresses in studies of Task- (and pathology-) related changes of brain networks (90%)
Characterization of motion effects on RS fMRI: study completed (70%)*
Characterization of whole brain HRF: publication ready (85%) fMRI in the spinal cord: computational methods completed (100%)
Progresses in studies on dynamics of brain metabolism: publication and data acquisition (100%)
*Study on MB/ME: 100%
Rome, December 2018 Centro Fermi Study Days 11
Milestones 2018
PAMINA:
Release of the platform, project end
Dissemination of the results, possible industrial developments
MICROBRADAM/TMENS:
Progresses in studies of Task- (and pathology-) related changes of brain networks
Characterization of motion effects on RS fMRI: study completed Characterization of whole brain HRF: publication ready
fMRI in the spinal cord: computational methods completed
Progresses in studies on dynamics of brain metabolism
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• ΔFC meaningless?
• Dynamic vs predisposed brain
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Rome, December 2018 Centro Fermi Study Days 16
• Consistency (classification) coefficient z: nodes with high z are core elements for the module that have high conserved modularity identity across subjects (i.e they work as connectivity hubs within their module, because they are highly connected with their modular partners)
• Diversity (classification) coefficient h: nodes with high h have a variable modularity identity
across participants (i.e. they work as integration element between modules, because their
connections are evenly distributed across modules)
Rome, December 2018 Centro Fermi Study Days 18
REST
C la ss ifi ca ti o n c o n si st e n cy z
Classification diversity h
Rome, December 2018 Centro Fermi Study Days 19
C la ss ifi ca ti o n c o n si st e n cy z
Classification diversity h
TASK
Rome, December 2018 Centro Fermi Study Days 20
C la ss ifi ca ti o n c o n si st e n cy z
Classification diversity h
TASK
DMN nodes
Putative intermodal hubs
• Transition to task is characterized by specialization processes. Many nodes transition towards lower h values, except a few nodes that act as true intermodular hubs
• Performances are mainly related to
• high diversity at rest
• capacity to substantially reduce diversity at task
ZR ZT Delta ZRT HR HT Delta HRT Distance
0 5 10 15 20 25 30 35 40
45
