| One-year mental health outcomes in a cohort of COVID-19 survivors MG Mazza, M Palladini, R De Lorenzo, B Bravi, S Poletti, R Furlan, ... Journal of psychiatric research 145, 118-124, 2022 | 81 | 2022 |
| A peripheral inflammatory signature discriminates bipolar from unipolar depression: a machine learning approach S Poletti, B Vai, MG Mazza, R Zanardi, C Lorenzi, F Calesella, S Cazzetta, ... Progress in Neuro-Psychopharmacology and Biological Psychiatry 105, 110136, 2021 | 65 | 2021 |
| A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients F Calesella, A Testolin, M De Filippo De Grazia, M Zorzi Brain Informatics 8 (1), 8, 2021 | 19 | 2021 |
| Circulating inflammatory markers impact cognitive functions in bipolar depression S Poletti, MG Mazza, F Calesella, B Vai, C Lorenzi, E Manfredi, ... Journal of Psychiatric Research 140, 110-116, 2021 | 19 | 2021 |
| The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium WB Bruin, Y Abe, P Alonso, A Anticevic, LL Backhausen, S Balachander, ... Molecular psychiatry, 1-13, 2023 | 16 | 2023 |
| Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis F Colombo, F Calesella, MG Mazza, EMT Melloni, MJ Morelli, GM Scotti, ... Neuroscience & Biobehavioral Reviews 135, 104552, 2022 | 12 | 2022 |
| Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder B Vai, MG Mazza, S Cazzetta, F Calesella, V Aggio, C Lorenzi, R Zanardi, ... Journal of Affective Disorders Reports 6, 100254, 2021 | 12 | 2021 |
| Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study M Cavicchioli, F Calesella, S Cazzetta, M Mariagrazia, A Ogliari, C Maffei, ... Drug and Alcohol Dependence 224, 108723, 2021 | 9 | 2021 |
| Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders S Poletti, M Paolini, J Ernst, I Bollettini, E Melloni, B Vai, Y Harrington, ... Brain, Behavior, & Immunity-Health 26, 100529, 2022 | 6 | 2022 |
| A systematic assessment of feature extraction methods for robust prediction of neuropsychological scores from functional connectivity data F Calesella, A Testolin, M De Filippo De Grazia, M Zorzi International conference on brain informatics, 29-40, 2020 | 5 | 2020 |
| Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines B Bravi, EMT Melloni, M Paolini, M Palladini, F Calesella, L Servidio, ... Brain, Behavior, and Immunity 116, 52-61, 2024 | 3 | 2024 |
| Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in bipolar disorder E Mazza, F Calesella, M Paolini, C di Pasquasio, S Poletti, C Lorenzi, ... Bipolar Disorders 25 (1), 32-42, 2023 | 3 | 2023 |
| Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters B Vai, F Calesella, C Lenti, L Fortaner-Uyà, E Caselani, P Fiore, S Breit, ... Psychiatry Research: Neuroimaging 331, 111627, 2023 | 1 | 2023 |
| Adverse childhood experiences differently affect Theory of Mind brain networks in schizophrenia and healthy controls B Vai, F Calesella, A Pelucchi, M Riberto, S Poletti, M Bechi, R Cavallaro, ... Journal of psychiatric research 172, 81-89, 2024 | | 2024 |
| COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION F Calesella Università Vita-Salute San Raffaele, 2024 | | 2024 |
| A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging F Calesella, F Colombo, B Bravi, L Fortaner-Uyà, C Monopoli, S Poletti, ... Neuroscience Applied 3, 103931, 2024 | | 2024 |
| Unsupervised Neurobiologically-Driven Stratification of Clinical Heterogeneity in Treatment-Resistant Depression F Colombo, F Calesella, B Bravi, L Fortaner-Uya, C Monopoli, R Zanardi, ... NEUROPSYCHOPHARMACOLOGY 48, 233-233, 2023 | | 2023 |
| Multi-Scale Assessment of Harmonization Efficacy on Resting-State Functional Connectivity E Tassi, F Goffi, MG Rossetti, M Bellani, B Vai, F Calesella, F Benedetti, ... Mediterranean Conference on Medical and Biological Engineering and Computing …, 2023 | | 2023 |
| Structural neuroimaging differentiates between depressed bipolar disorder and major depressive disorder patients: a machine learning study F Calesella, F Colombo, B Bravi, L Fortaner-Uyà, C Monopoli, E Tassi, ... European Psychiatry 66 (S1), S614-S615, 2023 | | 2023 |
| Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study L Raffaelli, F Colombo, F Calesella, L Fortaner-Uya, I Bollettini, C Lorenzi, ... European Psychiatry 66 (S1), S621-S621, 2023 | | 2023 |
