SQUARCINA, LETIZIA
SQUARCINA, LETIZIA
Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti
A critical review on structural neuroimaging studies in BD : a transdiagnostic perspective from psychosis to fronto-temporal dementia
2020 G. Delvecchio, E. Maggioni, L. Squarcina, A. Arighi, D. Galimberti, E. Scarpini, M. Bellani, P. Brambilla
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
A review of altered biochemistry in the anterior cingulate cortex of first-episode psychosis
2017 L. Squarcina, J.A. Stanley, M. Bellani, C.A. Altamura, P. Brambilla
A robust method for investigating thalamic white matter tracts after traumatic brain injury
2012 L. Squarcina, A. Bertoldo, T.E. Ham, R. Heckemann, D.J. Sharp
Association between Diffusion Tensor Imaging, inflammation and immunological alterations in unipolar and bipolar depression: a review
2022 R. Aronica, P. Enrico, L. Squarcina, P. Brambilla, G. Delvecchio
Association of increased genotypes risk for bipolar disorder with brain white matter integrity investigated with tract-based spatial statistics : Special Section on “Translational and Neuroscience Studies in Affective Disorders”. Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summarise relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders
2017 L. Squarcina, J. Houenou, A.C. Altamura, J. Soares, P. Brambilla
Automated cortical thickness and skewness feature selection in bipolar disorder using a semi-supervised learning method
2019 L. Squarcina, T.M. Dagnew, M.W. Rivolta, M. Bellani, R. Sassi, P. Brambilla
Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine
2021 L. Squarcina, G. Nosari, R. Marin, U. Castellani, M. Bellani, C. Bonivento, F. Fabbro, M. Molteni, P. Brambilla
Brain mitochondrial impairment in early-onset Parkinson's disease with or without PINK1 mutation
2020 M. Rango, G. Dossi, L. Squarcina, C. Bonifati
Brain network dysfunction in bipolar disorder: Evidence from structural and functional MRI studies
2021 G. Delvecchio, E. Maggioni, L. Squarcina, P. Brambilla
Brain structural correlates of irritability : findings in a large healthy cohort
2017 B. Besteher, L. Squarcina, R. Spalthoff, M. Bellani, C. Gaser, P. Brambilla, I. Nenadic
Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques
2017 L. Squarcina, U. Castellani, M. Bellani, C. Perlini, A. Lasalvia, N. Dusi, C. Bonetto, D. Cristofalo, S. Tosato, G. Rambaldelli, F. Alessandrini, G. Zoccatelli, R. Pozzi Mucelli, D. Lamonaca, E. Ceccato, F. Pileggi, F. Mazzi, P. Santonastaso, M. Ruggeri, P. Brambilla
Classification of first-episode psychosis using cortical thickness : A large multicenter MRI study
2021 A. Pigoni, D. Dwyer, L. Squarcina, S. Borgwardt, B. Crespo-Facorro, P. Dazzan, S. Smesny, F. Spaniel, G. Spalletta, R. Sanfelici, L.A. Antonucci, A. Reuf, O.F. Oeztuerk, A. Schmidt, S. Ciufolini, F. Schönborn-Harrisberger, K. Langbein, A. Gussew, J.R. Reichenbach, Y. Zaytseva, F. Piras, G. Delvecchio, M. Bellani, M. Ruggeri, A. Lasalvia, D. Tordesillas-Gutiérrez, V. Ortiz, R.M. Murray, T. Reis-Marques, M. Di Forti, N. Koutsouleris, P. Brambilla
Cortical diffusion-tensor imaging abnormalities in multiple sclerosis: A 3-year longitudinal study
2011 M. Calabrese, F. Rinaldi, D. Seppi, A. Favaretto, L. Squarcina, I. Mattisi, P. Perini, A. Bertoldo, P. Gallo
Deep learning for the prediction of treatment response in depression
2020 L. Squarcina, F.M. Villa, M. Nobile, E. Grisan, P. Brambilla
Effects of Early Intervention on Visual Function in Preterm Infants : A Randomized Controlled Trial
2020 C. Fontana, A. De Carli, D. Ricci, F. Dessimone, S. Passera, N. Pesenti, M. Bonzini, L. Bassi, L. Squarcina, C. Cinnante, F. Mosca, M. Fumagalli
First-episode psychosis: Structural covariance deficits in salience network correlate with symptoms severity
2021 F. Saviola, M. Bellani, C. Perlini, L. Squarcina, E. Maggioni, D. Zacà, A. Lasalvia, N. Dusi, C. Bonetto, D. Cristofalo, F. Alessandrini, G. Zoccatelli, E. Ciceri, L. Mesiano, E. Semrov, R. Lo Parrino, K. Furlato, M. Pratelli, M. Ruggeri, P. Brambilla, J. Jovicich
Fractal analysis of MRI data for the characterization of patients with schizophrenia and bipolar disorder : physics in Medicine and Biology
2015 L. Squarcina, A. De Luca, M. Bellani, P. Brambilla, F. Turkheimer, A. Bertoldo
From early stress to 12-month development in very preterm infants : Preliminary findings on epigenetic mechanisms and brain growth
2018 M. Fumagalli, L. Provenzi, P. De Carli, F. Dessimone, I. Sirgiovanni, R. Giorda, C. Cinnante, L. Squarcina, U. Pozzoli, F. Triulzi, P. Brambilla, R. Borgatti, F. Mosca, R. Montirosso
Functional maps for brain classification on spectral domain
2016 S. Melzi, A. Mella, L. Squarcina, M. Bellani, C. Perlini, M. Ruggeri, C.A. Altamura, P. Brambilla, U. Castellani