Cristina Scarpazza
Cristina Scarpazza
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Citata da
Citata da
Impact of low dose tocilizumab on mortality rate in patients with COVID-19 related pneumonia
R Capra, N De Rossi, F Mattioli, G Romanelli, C Scarpazza, MP Sormani, ...
European journal of internal medicine 76, 31-35, 2020
Prognostic prediction of therapeutic response in depression using high-field MR imaging
Q Gong, Q Wu, C Scarpazza, S Lui, Z Jia, A Marquand, X Huang, ...
Neuroimage 55 (4), 1497-1503, 2011
Neural bases of prospective memory: a meta-analysis and the “Attention to Delayed Intention”(AtoDI) model
G Cona, C Scarpazza, G Sartori, M Moscovitch, PS Bisiacchi
Neuroscience & Biobehavioral Reviews 52, 21-37, 2015
Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes
SE Morgan, J Seidlitz, KJ Whitaker, R Romero-Garcia, NE Clifton, ...
Proceedings of the National Academy of Sciences 116 (19), 9604-9609, 2019
False positive rates in voxel-based morphometry studies of the human brain: should we be worried?
C Scarpazza, S Tognin, S Frisciata, G Sartori, A Mechelli
Neuroscience & Biobehavioral Reviews 52, 49-55, 2015
Early aphasia rehabilitation is associated with functional reactivation of the left inferior frontal gyrus: a pilot study
F Mattioli, C Ambrosi, L Mascaro, C Scarpazza, P Pasquali, M Frugoni, ...
Stroke 45 (2), 545-552, 2014
Using machine learning and structural neuroimaging to detect first episode psychosis: reconsidering the evidence
S Vieira, Q Gong, WHL Pinaya, C Scarpazza, S Tognin, B Crespo-Facorro, ...
Schizophrenia bulletin 46 (1), 17-26, 2020
Early use of low dose tocilizumab in patients with COVID-19: a retrospective cohort study with a complete follow-up
N De Rossi, C Scarpazza, C Filippini, C Cordioli, S Rasia, CR Mancinelli, ...
EClinicalMedicine 25, 2020
Where is the “where” in the brain? A meta‐analysis of neuroimaging studies on spatial cognition
G Cona, C Scarpazza
Human brain mapping 40 (6), 1867-1886, 2019
Vaccinations in patients with multiple sclerosis: a Delphi consensus statement
A Riva, V Barcella, SV Benatti, M Capobianco, R Capra, P Cinque, ...
Multiple Sclerosis Journal 27 (3), 347-359, 2021
No evidence of beneficial effects of plasmapheresis in natalizumab-associated PML
D Landi, N De Rossi, S Zagaglia, C Scarpazza, L Prosperini, M Albanese, ...
Neurology 88 (12), 1144-1152, 2017
Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics
D Lei, WHL Pinaya, T van Amelsvoort, M Marcelis, G Donohoe, ...
Psychological medicine 50 (11), 1852-1861, 2020
When the single matters more than the group: very high false positive rates in single case voxel based morphometry
C Scarpazza, G Sartori, MS De Simone, A Mechelli
Neuroimage 70, 175-188, 2013
Machine learning for brain age prediction: Introduction to methods and clinical applications
L Baecker, R Garcia-Dias, S Vieira, C Scarpazza, A Mechelli
EBioMedicine 72, 2021
Towards precision medicine in psychosis: benefits and challenges of multimodal multicenter studies—PSYSCAN: translating neuroimaging findings from research into clinical practice
S Tognin, HH van Hell, K Merritt, I Winter-van Rossum, MG Bossong, ...
Schizophrenia bulletin 46 (2), 432-441, 2020
Brain age prediction: A comparison between machine learning models using region‐and voxel‐based morphometric data
L Baecker, J Dafflon, PF Da Costa, R Garcia‐Dias, S Vieira, C Scarpazza, ...
Human brain mapping 42 (8), 2332-2346, 2021
Subjective recollection independent from multifeatural context retrieval following damage to the posterior parietal cortex
E Ciaramelli, G Faggi, C Scarpazza, F Mattioli, J Spaniol, S Ghetti, ...
Cortex 91, 114-125, 2017
Effects of cue focality on the neural mechanisms of prospective memory: A meta-analysis of neuroimaging studies
G Cona, PS Bisiacchi, G Sartori, C Scarpazza
Scientific reports 6 (1), 25983, 2016
A transdiagnostic neuroanatomical signature of psychiatric illness
Q Gong, C Scarpazza, J Dai, M He, X Xu, Y Shi, B Zhou, S Vieira, ...
Neuropsychopharmacology 44 (5), 869-875, 2019
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
D Lei, WHL Pinaya, J Young, T van Amelsvoort, M Marcelis, G Donohoe, ...
Human brain mapping 41 (5), 1119-1135, 2020
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