IRIS

BOLLETTINI, IRENE

BOLLETTINI, IRENE  

Facoltà di Filosofia  

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A Homer1 gene variant influences brain white matter structure and lithium effects in bipolar disorder 1-gen-2017 Vitali, A; Mazza, E; Lorenzi, C; Poletti, S; Bollettini, I; Benedetti, F
A machine learning pipeline for efficient differentiation between depressed bipolar disorder and major depressive disorder patients based on structural neuroimaging 1-gen-2022 Calesella, F.; Colombo, F.; Bravi, B.; Fortaner-Uyà, L.; Monopoli, C.; Tassi, E.; Maggioni, E.; Bollettini, I.; Poletti, S.; Vai, B.; Benedetti, F.
Associations of medication with subcortical morphology across the lifespan in OCD: Results from the international ENIGMA Consortium 1-gen-2022 Ivanov, Iliyan; Boedhoe, Premika S W; Abe, Yoshinari; Alonso, Pino; Ameis, Stephanie H; Arnold, Paul D; Balachander, Srinivas; Baker, Justin T; Banaj, Nerisa; Bargalló, Nuria; Batistuzzo, Marcelo C; Benedetti, Francesco; Beucke, Jan C; Bollettini, Irene; Brem, Silvia; Brennan, Brian P; Buitelaar, Jan; Calvo, Rosa; Cheng, Yuqi; Cho, Kang Ik K; Dallaspezia, Sara; Denys, Damiaan; Diniz, Juliana B; Ely, Benjamin A; Feusner, Jamie D; Ferreira, Sónia; Fitzgerald, Kate D; Fontaine, Martine; Gruner, Patricia; Hanna, Gregory L; Hirano, Yoshiyuki; Hoexter, Marcelo Q; Huyser, Chaim; Ikari, Keisuke; James, Anthony; Jaspers-Fayer, Fern; Jiang, Hongyan; Kathmann, Norbert; Kaufmann, Christian; Kim, Minah; Koch, Kathrin; Kwon, Jun Soo; Lázaro, Luisa; Liu, Yanni; Lochner, Christine; Marsh, Rachel; Martínez-Zalacaín, Ignacio; Mataix-Cols, David; Menchón, José M; Minuzzi, Luciano; Morer, Astrid; Morgado, Pedro; Nakagawa, Akiko; Nakamae, Takashi; Nakao, Tomohiro; Narayanaswamy, Janardhanan C; Nurmi, Erika L; Oh, Sanghoon; Perriello, Chris; Piacentini, John C; Picó-Pérez, Maria; Piras, Fabrizio; Piras, Federica; Reddy, Y C Janardhan; Manrique, Daniela Rodriguez; Sakai, Yuki; Shimizu, Eiji; Simpson, H Blair; Soreni, Noam; Soriano-Mas, Carles; Spalletta, Gianfranco; Stern, Emily R; Stevens, Michael C; Stewart, S Evelyn; Szeszko, Philip R; Tolin, David F; van Rooij, Daan; Veltman, Dick J; van der Werf, Ysbrand D; van Wingen, Guido A; Venkatasubramanian, Ganesan; Walitza, Susanne; Wang, Zhen; Watanabe, Anri; Wolters, Lidewij H; Xu, Xiufeng; Yun, Je-Yeon; Zarei, Mojtaba; Zhang, Fengrui; Zhao, Qing; Jahanshad, Neda; Thomopoulos, Sophia I; Thompson, Paul M; Stein, Dan J; van den Heuvel, Odile A; O'Neill, Joseph
Brain spectroscopic measures of glutamatergic and neuronal metabolism and glial activation influence white matter integrity in bipolar depression 1-gen-2022 Bravi, Beatrice; Bollettini, Irene; Di Pasquasio, Camilla; Falini, Andrea; Zanardi, Raffaella; Poletti, Sara; Benedetti, Francesco; Colombo, Cristina
Changes of white matter microstructure after successful treatment of bipolar depression 1-gen-2020 Melloni, E. M. T.; Poletti, S.; Dallaspezia, S.; Bollettini, I.; Vai, B.; Barbini, B.; Zanardi, R.; Colombo, C.; Benedetti, F.
Classifying mood disorders using multiple kernel learning on multimodal neuroimaging data: translating biological data into a diagnostic tool for depression 1-gen-2019 Vai, B; Parenti, L; Cara, C; Verga, C; Bollettini, I; Poletti, S; Colombo, C; Benedetti, F
Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study 1-gen-2023 Perziani, S.; Colombo, F.; Calesella, F.; Fortaner-Uyà, L.; Monopoli, C.; Bravi, B.; Poletti, S.; Bollettini, I.; Benedetti, F.; Vai, B.
Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach 1-gen-2023 Fortaner-Uyà, L.; Mazzilli, F.; Monopoli, C.; Calesella, F.; Colombo, F.; Bravi, B.; Fabbri, C.; Serretti, A.; Lorenzi, C.; Spadini, S.; Mascia, E.; Poletti, S.; Bollettini, I.; Benedetti, F.; Vai, B.
Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohorts 1-gen-2023 Campos, Adrian I; Van Velzen, Laura S; Veltman, Dick J; Pozzi, Elena; Ambrogi, Sonia; Ballard, Elizabeth D; Banaj, Nerisa; Başgöze, Zeynep; Bellow, Sophie; Benedetti, Francesco; Bollettini, Irene; Brosch, Katharina; Canales-Rodríguez, Erick J; Clarke-Rubright, Emily K; Colic, Lejla; Connolly, Colm G; Courtet, Philippe; Cullen, Kathryn R; Dannlowski, Udo; Dauvermann, Maria R; Davey, Christopher G; Deverdun, Jeremy; Dohm, Katharina; Erwin-Grabner, Tracy; Goya-Maldonado, Roberto; Fani, Negar; Fortea, Lydia; Fuentes-Claramonte, Paola; Gonul, Ali Saffet; Gotlib, Ian H; Grotegerd, Dominik; Harris, Mathew A; Harrison, Ben J; Haswell, Courtney C; Hawkins, Emma L; Hill, Dawson; Hirano, Yoshiyuki; Ho, Tiffany C; Jollant, Fabrice; Jovanovic, Tanja; Kircher, Tilo; Klimes-Dougan, Bonnie; le Bars, Emmanuelle; Lochner, Christine; Mcintosh, Andrew M; Meinert, Susanne; Mekawi, Yara; Melloni, Elisa; Mitchell, Philip; Morey, Rajendra A; Nakagawa, Akiko; Nenadić, Igor; Olié, Emilie; Pereira, Fabricio; Phillips, Rachel D; Piras, Fabrizio; Poletti, Sara; Pomarol-Clotet, Edith; Radua, Joaquim; Ressler, Kerry J; Roberts, Gloria; Rodriguez-Cano, Elena; Sacchet, Matthew D; Salvador, Raymond; Sandu, Anca-Larisa; Shimizu, Eiji; Singh, Aditya; Spalletta, Gianfranco; Steele, J Douglas; Stein, Dan J; Stein, Frederike; Stevens, Jennifer S; Teresi, Giana I; Uyar-Demir, Aslihan; van der Wee, Nic J; van der Werff, Steven J; van Rooij, Sanne J H; Vecchio, Daniela; Verdolini, Norma; Vieta, Eduard; Waiter, Gordon D; Whalley, Heather; Whittle, Sarah L; Yang, Tony T; Zarate, Carlos A; Thompson, Paul M; Jahanshad, Neda; van Harmelen, Anne-Laura; Blumberg, Hilary P; Schmaal, Lianne; Rentería, Miguel E
Correction: White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group (Molecular Psychiatry, (2024), 10.1038/s41380-023-02392-6) 1-gen-2024 Kim, B. -G.; Kim, G.; Abe, Y.; Alonso, P.; Ameis, S.; Anticevic, A.; Arnold, P. D.; Balachander, S.; Banaj, N.; Bargallo, N.; Batistuzzo, M. C.; Benedetti, F.; Bertolin, S.; Beucke, J. C.; Bollettini, I.; Brem, S.; Brennan, B. P.; Buitelaar, J. K.; Calvo, R.; Castelo-Branco, M.; Cheng, Y.; Chhatkuli, R. B.; Ciullo, V.; Coelho, A.; Couto, B.; Dallaspezia, S.; Ely, B. A.; Ferreira, S.; Fontaine, M.; Fouche, J. -P.; Grazioplene, R.; Gruner, P.; Hagen, K.; Hansen, B.; Hanna, G. L.; Hirano, Y.; Hoxter, M. Q.; Hough, M.; Hu, H.; Huyser, C.; Ikuta, T.; Jahanshad, N.; James, A.; Jaspers-Fayer, F.; Kasprzak, S.; Kathmann, N.; Kaufmann, C.; Kim, M.; Koch, K.; Kvale, G.; Kwon, J. S.; Lazaro, L.; Lee, J.; Lochner, C.; Lu, J.; Manrique, D. R.; Martinez-Zalacain, I.; Masuda, Y.; Matsumoto, K.; Maziero, M. P.; Menchon, J. M.; Minuzzi, L.; Moreira, P. S.; Morgado, P.; Narayanaswamy, J. C.; Narumoto, J.; Ortiz, A. E.; Ota, J.; Pariente, J. C.; Perriello, C.; Pico-Perez, M.; Pittenger, C.; Poletti, S.; Real, E.; Reddy, Y. C. J.; van Rooij, D.; Sakai, Y.; Sato, J. R.; Segalas, C.; Shavitt, R. G.; Shen, Z.; Shimizu, E.; Shivakumar, V.; Soreni, N.; Soriano-Mas, C.; Sousa, N.; Sousa, M. M.; Spalletta, G.; Stern, E. R.; Stewart, S. E.; Szeszko, P. R.; Thomas, R.; Thomopoulos, S. I.; Vecchio, D.; Venkatasubramanian, G.; Vriend, C.; Walitza, S.; Wang, Z.; Watanabe, A.; Wolters, L.; Xu, J.; Yamada, K.; Yun, J. -Y.; Zarei, M.; Zhao, Q.; Zhu, X.; Thompson, P. M.; Bruin, W. B.; van Wingen, G. A.; Piras, F.; Piras, F.; Stein, D. J.; van den Heuvel, O. A.; Simpson, H. B.; Marsh, R.; Cha, J.
Data-driven stratification of depressed patients based on structural neuroimaging signatures: a stability-based relative clustering validation approach 1-gen-2022 Colombo, F.; Calesella, F.; Bravi, B.; Fortaner-Uyà, L.; Monopoli, C.; Maggioni, E.; Tassi, E.; Zanardi, R.; Attanasio, F.; Bollettini, I.; Poletti, S.; Vai, B.; Benedetti, F.
Disrupted effective connectivity of emotional circuitry in schizophrenia: a dynamic causal modeling study 1-gen-2014 Vai, B; Papa, Gs; Poletti, S; Radaelli, D; Bollettini, I; Cavallaro, R; Smeraldi, E; Benedetti, F
Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta-and Mega-Analysis (vol , pg , 2016) 1-gen-2017 Abe, Y; Alonso, P; Ameis, Sh; Arnold, Pd; Bargalló, N; Batistuzzo, Mc; Benedetti, F; Beucke, Jc; Boedhoe, Psw; Bollettini, I; Bose, A; Brem, S; Busatto, Gf; Calvo, A; Calvo, R; Cath, Dc; Cheng, Yq; Cho, Kik; Dallaspezia, S; de Vries, Fe; de Wit, Sj; Denys, D; Fang, Y; Fitzgerald, Kd; Fontaine, M; Fouche, Jp; Giménez, M; Gruner, P; Hanna, Gl; Hibar, Dp; Hoexter, Mq; Hu, H; Huyser, C; Ikari, K; Jahanshad, N; Kathmann, N; Kaufmann, C; Khadka, S; Koch, K; Kwon, Js; Lazaro, L; Liu, Yn; Lochner, C; Marsh, R; Martinez-Zalacaín, I; Mataix-Cols, D; Menchón, Jm; Miguel, Ec; Minuzzi, L; Morer, A; Nakamae, T; Nakao, T; Narayanaswamy, Jc; Piras, F; Piras, F; Pittenger, C; Reddy, Ycj; Sato, Jr; Simpson, Hb; Schmaal, L; Soreni, N; Soriano-Mas, C; Spalletta, G; Stein, Dj; Stevens, Mc; Szeszko, Pr; Thompson, Pm; Tolin, Df; Veltman, Dj; Venkatasubramanian, G; van den Heuvel, Oa; van der Werf, Yd; van Wingen, Ga; Walitza, S; Wang, Z; Xu, J; Xu, Xf; Yun, Jy; Zhao, Q
Effect of glutamate excitotoxicity on white matter integrity in bipolar disorder: a TBSS study 1-gen-2021 Bravi, B; Bollettini, I; Di Pasquasio, C; Conte, S; Zanardi, R; Benedetti, F; Poletti, S
Erratum: Brain structural covariance networks in obsessive-compulsive disorder: A graph analysis from the ENIGMA Consortium (Brain (2020) 143 (684-700) DOI: 10.1093/brain/awaa001) 1-gen-2020 Yun, J. -Y.; Boedhoe, P. S. W.; Vriend, C.; Jahanshad, N.; Abe, Y.; Ameis, S. H.; Anticevic, A.; Arnold, P. D.; Batistuzzo, M. C.; Benedetti, F.; Beucke, J. C.; Bollettini, I.; Bose, A.; Brem, S.; Calvo, A.; Cheng, Y.; Cho, K. I. K.; Ciullo, V.; Dallaspezia, S.; Denys, D.; Feusner, J. D.; Fouche, J. -P.; Gimenez, M.; Gruner, P.; Hibar, D. P.; Hoexter, M. Q.; Hu, H.; Huyser, C.; Ikari, K.; Kathmann, N.; Kaufmann, C.; Koch, K.; Lazaro, L.; Lochner, C.; Marques, P.; Marsh, R.; Martinez-Zalacain, I.; Mataix-Cols, D.; Menchon, J. M.; Minuzzi, L.; Morgado, P.; Moreira, P.; Nakamae, T.; Nakao, T.; Narayanaswamy, J. C.; Nurmi, E. L.; O'Neill, J.; Piacentini, J.; Piras, F.; Piras, F.; Janardhan Reddy, Y. C.; Sato, J. R.; Blair Simpson, H.; Soreni, N.; Soriano-Mas, C.; Spalletta, G.; Stevens, M. C.; Szeszko, P. R.; Tolin, D. F.; Venkatasubramanian, G.; Walitza, S.; Wang, Z.; van Wingen, G. A.; Xu, J.; Xu, X.; Zhao, Q.; Thompson, P. M.; Stein, D. J.; van den Heuvel, O. A.; Kwon, J. S.
Fronto-limbic connectivity during emotional processing in bipolar depression: the role of 5-HT1A promoter polymorphism 1-gen-2017 Ghiglino, D; Riberto, M; Vai, B; Poletti, S; Bollettini, I; Colombo, C; Lorenzi, C; Benedetti, F
Functional neuroimaging for the differentiation between healthy controls, depressed bipolar and major depressive patients: a machine learning study 1-gen-2023 Calesella, F.; Serra, E.; Colombo, F.; Fortaner-Uyà, L.; Monopoli, C.; Bravi, B.; Tassi, E.; Bollettini, I.; Brambilla, P.; Poletti, S.; Maggioni, E.; Benedetti, F.; Vai, B.
Identifying suicide attempters among bipolar depressed patients using structural neuroimaging: a machine learning study 1-gen-2022 Fortaner-Uyà, L.; Monopoli, C.; Calesella, F.; Colombo, F.; Bravi, B.; Maggioni, E.; Tassi, E.; Poletti, S.; Bollettini, I.; Vai, B.; Benedetti, F.
Immunoassay quantification and neuroimaging data for differentiating bipolar and unipolar depression: support vector machine on kernels and elastic net approaches 1-gen-2020 Vai, B; Parenti, L; Cazzetta, S; Mazza, M; Bollettini, I; Poletti, S; Lorenzi, C; Aggio, V; Zanardi, R; Barbini, B; Colombo, C; Benedetti, F
Inflammation and neuroimaging differentiate bipolar and unipolar depression: a multiple kernel learning approach 1-gen-2020 Parenti, L; Colombo, F; Bollettini, I; Vai, B; Poletti, S; Benedetti, F