SQUARCINA, LETIZIA
SQUARCINA, LETIZIA
Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti
Neuroimaging-based data-driven subtypes of spatiotemporal atrophy due to Parkinson’s disease
2025 Z. Shawa, C. Shand, B. Taylor, H.W. Berendse, C. Vriend, T.D. Van Balkom, O.A. Van Den Heuvel, Y.D. Van Der Werf, J. Wang, C. Tsai, J. Druzgal, B.T. Newman, T.R. Melzer, T.L. Pitcher, J.C. Dalrymple-Alford, T.J. Anderson, G. Garraux, M. Rango, P. Schwingenschuh, M. Suette, L.M. Parkes, S. Al-Bachari, J. Klein, M.T.M. Hu, C.T. Mcmillan, F. Piras, D. Vecchio, C. Pellicano, C. Zhang, K.L. Poston, E. Ghasemi, F. Cendes, C.L. Yasuda, D. Tosun, P. Mosley, P.M. Thompson, N. Jahanshad, C. Owens-Walton, E. D'Angremont, E.M. Van Heese, M.A. Laansma, A. Altmann, N. Null, M.A. Laansma, J.K. Bright, S. Al-Bachari, T.J. Anderson, T. Ard, F. Assogna, K.A. Baquero, H.W. Berendse, B. Newman, F. Cendes, J.C. Dalrymple-Alford, R.M.A. De Bie, I. Debove, M.F. Dirkx, J. Druzgal, H.C.A. Emsley, G. Garraux, R.P. Guimarães, B.A. Gutman, R.C. Helmich, J.C. Klein, C.E. Mackay, C.T. Mcmillan, T.R. Melzer, L.M. Parkes, F. Piras, T.L. Pitcher, K.L. Poston, M. Rango, L.F. Ribeiro, C.S. Rocha, C. Rummel, L.S.R. Santos, R. Schmidt, P. Schwingenschuh, G. Spalletta, L. Squarcina, O.A. Van Den Heuvel, C. Vriend, J. Wang, D. Weintraub, R. Wiest, C.L. Yasuda, N. Jahanshad, P.M. Thompson, Y.D. Van Der Werf, R.S. Weil, N.P. Oxtoby
Multimodal Machine Learning Prediction of 12‐Month Suicide Attempts in Bipolar Disorder
2025 A. Pigoni, I. Tesic, C. Pini, P. Enrico, L. Di Consoli, F. Siri, G. Nosari, A. Ferro, L. Squarcina, G. Delvecchio, P. Brambilla
Towards collaborative data science in mental health research: The ECNP neuroimaging network accessible data repository
2025 A. Khuntia, M. Buciuman, J. Fanning, A. Stolicyn, C. Vetter, R. Armio, T. From, F. Goffi, L. Hahn, T. Kaufmann, H. Laurikainen, E. Maggioni, I. Martinez-Zalacain, A. Ruef, M.S. Dong, E. Schwarz, L. Squarcina, O. Andreassen, M. Bellani, P. Brambilla, N.V. Haren, J. Hietala, S.M. Lawrie, C. Soriano-Mas, H. Whalley, M. Taquet, E. Meisenzahl, P. Falkai, A. Wiegand, N. Koutsouleris
Internalizing and Externalizing Traits During Adolescence: Using Epigenetics and Perinatal Risks to Differentiate Clusters of Symptoms
2025 M. Mauri, S. Grazioli, C. Bonivento, A. Crippa, R. Giorda, E. Maggioni, F. Mambretti, E. Rosi, L. Squarcina, F. Tizzoni, P. Brambilla, M. Nobile
Magnetic resonance spectroscopy biomarkers of anti-inflammatory interventions in mood disorders: A systematic review of clinical trials
2025 P. Valizadeh, P. Jannatdoust, S. Bagherieh, G. Cattarinussi, L. Squarcina, S. Maleki, F. Sambataro, Y. Barone, G. Delvecchio
Multivariate brain morphological patterns across mood disorders: key roles of frontotemporal and cerebellar areas
2025 S. Kandilarova, E. Maggioni, L. Squarcina, D. Najar, M. Homadi, E. Tassi, D. Stoyanov, P. Brambilla
White matter integrity in bipolar disorder investigated with diffusion tensor magnetic resonance imaging and fractal geometry
2024 L. Squarcina, S. Lucini Paioni, M. Bellani, M.G. Rossetti, J. Houenou, M. Polosan, M.L. Phillips, M. Wessa, P. Brambilla
Fetal gestational age prediction via shape descriptors of cortical development
2024 T. Ciceri, L. Squarcina, A. Bertoldo, P. Brambilla, S. Melzi, D. Peruzzo
Heritability of white matter in twins: A diffusion neuroimaging review
2024 G. Videtta, C. Colli, L. Squarcina, C. Fagnani, E. Medda, P. Brambilla, G. Delvecchio
A multivariate cognitive approach to predict social functioning in recent onset psychosis in response to computerized cognitive training
2024 N. Walter, J. Wenzel, S.S. Haas, L. Squarcina, C. Bonivento, A. Ruef, D. Dwyer, T. Lichtenstein, O. Bastruk, A. Stainton, L.A. Antonucci, P. Brambilla, S.J. Wood, R. Upthegrove, S. Borgwardt, R. Lencer, E. Meisenzahl, R.K.R. Salokangas, C. Pantelis, A. Bertolino, N. Koutsouleris, J. Kambeitz, L. Kambeitz-Ilankovic
Fetal brain MRI atlases and datasets: A review
2024 T. Ciceri, L. Casartelli, F. Montano, S. Conte, L. Squarcina, A. Bertoldo, N. Agarwal, P. Brambilla, D. Peruzzo
White matter modifications of corpus callosum in bipolar disorder: A DTI tractography review
2023 G. Videtta, L. Squarcina, M.G. Rossetti, P. Brambilla, G. Delvecchio, M. Bellani
Review on deep learning fetal brain segmentation from Magnetic Resonance images
2023 T. Ciceri, L. Squarcina, A. Giubergia, A. Bertoldo, P. Brambilla, D. Peruzzo
White matter integrity and medication response to antidepressants in major depressive disorder: a review of the literature
2023 G. Videtta, L. Squarcina, C. Prunas, P. Brambilla, G. Delvecchio
A machine learning approach on whole blood immunomarkers to identify an inflammation-associated psychosis onset subgroup
2023 P. Enrico, G. Delvecchio, N. Turtulici, R. Aronica, A. Pigoni, L. Squarcina, F.M. Villa, C. Perlini, M.G. Rossetti, M. Bellani, A. Lasalvia, C. Bonetto, P. Scocco, A. D'Agostino, S. Torresani, M. Imbesi, F. Bellini, A. Veronese, L. Bocchio-Chiavetto, M. Gennarelli, M. Balestrieri, G.I. Colombo, A. Finardi, M. Ruggeri, R. Furlan, P. Brambilla
Magnetic Resonance Spectroscopy
2023 L. Squarcina, P. Brambilla
Erratum: Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester (Neuroinformatics (2023) 21 3 (549-563))
2023 T. Ciceri, L. Squarcina, A. Pigoni, A. Ferro, F. Montano, A. Bertoldo, N. Persico, S. Boito, F.M. Triulzi, G. Conte, P. Brambilla, D. Peruzzo
Cerebellar Volume and Disease Staging in Parkinson's Disease: An ENIGMA-PD Study
2023 R. Kerestes, M.A. Laansma, C. Owens-Walton, A. Perry, E.M. van Heese, S. Al-Bachari, T.J. Anderson, F. Assogna, I.K. Aventurato, T.D. van Balkom, H.W. Berendse, K.R.E. van den Berg, R. Betts, R. Brioschi, J. Carr, F. Cendes, L.R. Clark, J.C. Dalrymple-Alford, M.F. Dirkx, J. Druzgal, H. Durrant, H.C.A. Emsley, G. Garraux, H.A. Haroon, R.C. Helmich, O.A. van den Heuvel, R.B. Joao, M.E. Johansson, S.G. Khachatryan, C. Lochner, C.T. Mcmillan, T.R. Melzer, P.E. Mosley, B. Newman, P. Opriessnig, L.M. Parkes, C. Pellicano, F. Piras, T.L. Pitcher, K.L. Poston, M. Rango, A. Roos, C. Rummel, R. Schmidt, P. Schwingenschuh, L.S. Silva, V. Smith, L. Squarcina, D.J. Stein, Z. Tavadyan, C.-. Tsai, D. Vecchio, C. Vriend, J.-. Wang, R. Wiest, C.L. Yasuda, C.B. Young, N. Jahanshad, P.M. Thompson, Y.D. van der Werf, I.H. Harding
Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester
2023 T. Ciceri, L. Squarcina, A. Pigoni, A. Ferro, F. Montano, A. Bertoldo, N. Persico, S. Boito, F.M. Triulzi, G. Conte, P. Brambilla, D. Peruzzo
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging
2022 Y. Zhao, M.A. Laansma, E.M. van Heese, C. Owens-Walton, L.M. Parkes, I. Debove, C. Rummel, R. Wiest, F. Cendes, R. Guimaraes, C.L. Yasuda, J.-. Wang, T.J. Anderson, J.C. Dalrymple-Alford, T.R. Melzer, T.L. Pitcher, R. Schmidt, P. Schwingenschuh, G. Garraux, M. Rango, L. Squarcina, S. Al-Bachari, H.C.A. Emsley, J.C. Klein, C.E. Mackay, M.F. Dirkx, R. Helmich, F. Assogna, F. Piras, J.K. Bright, G. Spalletta, K. Poston, C. Lochner, C.T. Mcmillan, D. Weintraub, J. Druzgal, B. Newman, O.A. Van Den Heuvel, N. Jahanshad, P.M. Thompson, Y.D. van der Werf, B. Gutman