CALESELLA, FEDERICO
CALESELLA, FEDERICO
Facoltà di Psicologia
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach
2021-01-01 Poletti, Sara; Vai, Benedetta; Mazza, Mario Gennaro; Zanardi, Raffaella; Lorenzi, Cristina; Calesella, Federico; Cazzetta, Silvia; Branchi, Igor; Colombo, Cristina; Furlan, Roberto; Benedetti, Francesco
Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines
2024-01-01 Bravi, B; Melloni, Emt; Paolini, M; Palladini, M; Calesella, F; Servidio, L; Agnoletto, E; Poletti, S; Lorenzi, C; Colombo, C; Benedetti, F
Circulating inflammatory markers impact cognitive functions in bipolar depression
2021-01-01 Poletti, S.; Mazza, M. G.; Calesella, F.; Vai, B.; Lorenzi, C.; Manfredi, E.; Colombo, C.; Zanardi, R.; Benedetti, F.
COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION
2024-01-11 Calesella, Federico
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder
2021-01-01 Vai, B.; Mazza, M. G.; Cazzetta, S.; Calesella, F.; Aggio, V.; Lorenzi, C.; Zanardi, R.; Poletti, S.; Colombo, C.; Benedetti, F.
Identifying suicide attempters among bipolar depressed patients using structural neuroimaging: a machine learning study
2022-01-01 Fortaner-Uyà, L.; Monopoli, C.; Calesella, F.; Colombo, F.; Bravi, B.; Maggioni, E.; Tassi, E.; Poletti, S.; Bollettini, I.; Vai, B.; Benedetti, F.
Inflammatory Markers Predict Blood Neurofilament Light Chain Levels in Acute COVID-19 Patients
2024-01-01 De Lorenzo, R.; Loré, N. I.; Finardi, A.; Mandelli, A.; Calesella, F.; Palladini, M.; Cirillo, D. M.; Tresoldi, C.; Ciceri, F.; Rovere-Querini, P.; Manfredi, A. A.; Mazza, M. G.; Benedetti, F.; Furlan, R.
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in Bipolar Disorder
2022-01-01 Mazza, Elena; Calesella, Federico; Paolini, Marco; di Pasquasio, Camilla; Poletti, Sara; Lorenzi, Cristina; Falini, Andrea; Zanardi, Raffaella; Colombo, Cristina; Benedetti, Francesco
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study
2021-01-01 Cavicchioli, M.; Calesella, F.; Cazzetta, S.; Mariagrazia, M.; Ogliari, A.; Maffei, C.; Vai, B.
Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders
2022-01-01 Poletti, Sara; Paolini, Marco; Ernst, Julia; Bollettini, Irene; Melloni, Elisa; Vai, Benedetta; Harrington, Yasmin; Bravi, Beatrice; Calesella, Federico; Lorenzi, Cristina; Zanardi, Raffaella; Benedetti, Francesco
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis
2021-01-01 Colombo, F; Calesella, F; Mazza, Mg; Melloni, Emt; Benedetti, F; Vai, B
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
2022-01-01 Colombo, F.; Calesella, F.; Mazza, M. G.; Melloni, E. M. T.; Morelli, M. J.; Scotti, G. M.; Benedetti, F.; Bollettini, I.; Vai, B.
Multi-Scale Assessment of Harmonization Efficacy on Resting-State Functional Connectivity
2024-01-01 Tassi, E.; Goffi, F.; Rossetti, M. G.; Bellani, M.; Vai, B.; Calesella, F.; Benedetti, F.; Bianchi, A. M.; Brambilla, P.; Maggioni, E.
Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance
2024-01-01 Colombo, F.; Calesella, F.; Bravi, B.; Fortaner-Uya, L.; Monopoli, C.; Tassi, E.; Carminati, M.; Zanardi, R.; Bollettini, I.; Poletti, S.; Lorenzi, C.; Spadini, S.; Brambilla, P.; Serretti, A.; Maggioni, E.; Fabbri, C.; Benedetti, F.; Vai, B.
One-year mental health outcomes in a cohort of COVID-19 survivors
2022-01-01 Mazza, M. G.; Palladini, M.; De Lorenzo, R.; Bravi, B.; Poletti, S.; Furlan, R.; Ciceri, F.; Vai, B.; Bollettini, I.; Melloni, E. M. T.; Mazza, E. B.; Aggio, V.; Calesella, F.; Paolini, M.; Caselani, E.; Colombo, F.; D'Orsi, G.; Di Pasquasio, C.; Fiore, P.; Calvisi, S.; Canti, V.; Castellani, J.; Cilla, M.; Cinel, E.; Damanti, S.; Ferrante, M.; Martinenghi, S.; Santini, C.; Vitali, G.; Rovere-Querini, P.; Benedetti, F.
Reduced cortico-limbic habituation identifies bipolar depressed suicide attempers: a machine learning study
2021-01-01 Calesella, F; Vai, B; Caselani, E; Uya, Lf; Fiore, P; Lenti, C; Poletti, S; Benedetti, F
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters
2023-01-01 Vai, B.; Calesella, F.; Lenti, C.; Fortaner-Uyà, L.; Caselani, E.; Fiore, P.; Breit, S.; Poletti, S.; Colombo, C.; Zanardi, R.; Benedetti, F.
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium
2023-01-01 Bruin, W. B.; Abe, Y.; Alonso, P.; Anticevic, A.; Backhausen, L. L.; Balachander, S.; Bargallo, N.; Batistuzzo, M. C.; Benedetti, F.; Bertolin Triquell, S.; Brem, S.; Calesella, F.; Couto, B.; Denys, D. A. J. P.; Echevarria, M. A. N.; Eng, G. K.; Ferreira, S.; Feusner, J. D.; Grazioplene, R. G.; Gruner, P.; Guo, J. Y.; Hagen, K.; Hansen, B.; Hirano, Y.; Hoexter, M. Q.; Jahanshad, N.; Jaspers-Fayer, F.; Kasprzak, S.; Kim, M.; Koch, K.; Bin Kwak, Y.; Kwon, J. S.; Lazaro, L.; Li, C. -S. R.; Lochner, C.; Marsh, R.; Martinez-Zalacain, I.; Menchon, J. M.; Moreira, P. S.; Morgado, P.; Nakagawa, A.; Nakao, T.; Narayanaswamy, J. C.; Nurmi, E. L.; Zorrilla, J. C. P.; Piacentini, J.; Pico-Perez, M.; Piras, F.; Piras, F.; Pittenger, C.; Reddy, J. Y. C.; Rodriguez-Manrique, D.; Sakai, Y.; Shimizu, E.; Shivakumar, V.; Simpson, B. H.; Soriano-Mas, C.; Sousa, N.; Spalletta, G.; Stern, E. R.; Evelyn Stewart, S.; Szeszko, P. R.; Tang, J.; Thomopoulos, S. I.; Thorsen, A. L.; Tokiko, Y.; Tomiyama, H.; Vai, B.; Veer, I. M.; Venkatasubramanian, G.; Vetter, N. C.; Vriend, C.; Walitza, S.; Waller, L.; Wang, Z.; Watanabe, A.; Wolff, N.; Yun, J. -Y.; Zhao, Q.; van Leeuwen, W. A.; van Marle, H. J. F.; van de Mortel, L. A.; van der Straten, A.; van der Werf, Y. D.; Bin Kwak, Y.; Pariente Zorrilla, J. C.; Stewart, S. E.; van Leeuwen, W. A.; van Marle, H. J. F.; van de Mortel, L. A.; van der Straten, A.; van der Werf, Y. D.; van den Heuvel, O. A.; van Wingen, G. A.; Thompson, P. M.; Stein, D. J.; van den Heuvel, O. A.; van Wingen, G. A.
White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group
2024-01-01 Kim, Bo-Gyeom; Kim, Gakyung; Abe, Yoshinari; Alonso, Pino; Ameis, Stephanie; Anticevic, Alan; Arnold, Paul D.; Balachander, Srinivas; Banaj, Nerisa; Bargalló, Nuria; Batistuzzo, Marcelo C.; Benedetti, Francesco; Bertolín, Sara; Beucke, Jan Carl; Bollettini, Irene; Brem, Silvia; Brennan, Brian P.; Buitelaar, Jan K.; Calvo, Rosa; Castelo-Branco, Miguel; Cheng, Yuqi; Chhatkuli, Ritu Bhusal; Ciullo, Valentina; Coelho, Ana; Couto, Beatriz; Dallaspezia, Sara; Ely, Benjamin A.; Ferreira, Sónia; Fontaine, Martine; Fouche, Jean-Paul; Grazioplene, Rachael; Gruner, Patricia; Hagen, Kristen; Hansen, Bjarne; Hanna, Gregory L.; Hirano, Yoshiyuki; Höxter, Marcelo Q.; Hough, Morgan; Hao, Hu; Huyser, Chaim; Ikuta, Toshikazu; Jahanshad, Neda; James, Anthony; Jaspers-Fayer, Fern; Kasprzak, Selina; Kathmann, Norbert; Kaufmann, Christian; Kim, Minah; Koch, Kathrin; Kvale, Gerd; Kwon, Jun Soo; Lazaro, Luisa; Lee, Junhee; Lochner, Christine; Jin, Lu; Manrique, Daniela Rodriguez; Martínez-Zalacaín, Ignacio; Masuda, Yoshitada; Matsumoto, Koji; Maziero, Maria Paula; Menchón, Jose M.; Minuzzi, Luciano; Moreira, Pedro Silva; Morgado, Pedro; Narayanaswamy, Janardhanan C.; Narumoto, Jin; Ortiz, Ana E.; Ota, Junko; Pariente, Jose C.; Perriello, Chris; Picó-Pérez, Maria; Pittenger, Christopher; Poletti, Sara; Real, Eva; Reddy, Y. C. Janardhan; van Rooij, Daan; Sakai, Yuki; Sato, João Ricardo; Segalas, Cinto; Shavitt, Roseli G.; Shen, Zonglin; Shimizu, Eiji; Shivakumar, Venkataram; Soreni, Noam; Soriano-Mas, Carles; Sousa, Nuno; Sousa, Mafalda Machado; Spalletta, Gianfranco; Stern, Emily R.; Stewart, S. Evelyn; Szeszko, Philip R.; Thomas, Rajat; Thomopoulos, Sophia I.; Vecchio, Daniela; Venkatasubramanian, Ganesan; Vriend, Chris; Walitza, Susanne; Wang, Zhen; Watanabe, Anri; Wolters, Lidewij; Jian, Xu; Yamada, Kei; Yun, Je-Yeon; Zarei, Mojtaba; Zhao, Qing; Zhu, Xi; Arai, Honami; Araújo, Ana Isabel; Araki, Kentaro; Arnold, Paul D.; Baker, Justin T.; Bargalló, Núria; Bertolín, Sara; Best, John R.; Boedhoe, Premika S. W.; Bölte, Sven; Brecke, Vilde; Buitelaar, Jan K.; Calvo, Rosa; Cappi, Carolina; Castelhano, Joao; Chen, Wei; Chihiro, Sutoh; Cho, Kang Ik Kevin; Choi, Sunah; Costa, Daniel; Dai, Nan; Dalvie, Shareefa; Denys, Damiaan; Diniz, Juliana B.; Duarte, Isabel C.; Calesella, Federico; Feusner, Jamie D.; Fitzgerald, Kate D.; Fridgeirsson, Egill Axfjord; Grünblatt, Edna; Hamatani, Sayo; Hanna, Gregory; Mengxin, He; van den Heuvel, Odile A.; Höxter, Marcelo Q.; Hough, Morgan; Ikari, Keisuke; Ipser, Jonathan; Jiang, Hongyan; Jiang, Linling; de Joode, Niels T.; Kathmann, Norbert; Kim, Taekwan; Kitagawa, Hitomi; Kuno, Masaru; Bin Kwak, Yoo; Kwon, Jun Soo; van Leeuwen, Wieke; Chiang-shan Ray, Li; Na, Li; Liu, Yanni; Liu, Fang; Lopes, Antonio Carlos; Jin, Lu; Milaneschi, Yuri; van Marle, Hein; Mas, Sergi; Mataix-Cols, David; de Mathis, Maria Alice; Mazieiro, Maria Paula; Medland, Sarah; Melo, Renata; Miguel, Euripedes C.; Morer, Astrid; De Nadai, Alessandro S.; Nakao, Tomohiro; Nihei, Masato; Norman, Luke; Nurmi, Erika L.; O’Neil, Joseph; Sanghoon, Oh; Okawa, Sho; Piacentini, John C.; Picó-Pérez, Maria; Rodriguez, Natalia; van Rooij, Daan; Sato, João R.; Segalas, Cinto; Silva, Renata; Soreni, Noam; Stevens, Michael; van der Straten, Anouk; Takahashi, Jumpei; Tanamatis, Tais; Tang, Jinsong; Thorsen, Anders Lillevik; Tolin, David; Uhlmann, Anne; Vai, Benedetta; van der Werf, Ysbrand D.; Veltman, Dick J.; Vetter, Nora; Wang, Jicai; Weeland, Cees J.; van Wingen, Guido A.; de Wit, Stella J.; Wolff, Nicole; Xiufeng, Xu; Yoshida, Tokiko; Zhang, Fengrui; Thompson, Paul M.; Bruin, Willem B.; van Wingen, Guido A.; Piras, Federica; Piras, Fabrizio; Stein, Dan J.; van den Heuvel, Odile A.; Simpson, Helen Blair; Marsh, Rachel; Cha, Jiook
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach | 1-gen-2021 | Poletti, Sara; Vai, Benedetta; Mazza, Mario Gennaro; Zanardi, Raffaella; Lorenzi, Cristina; Calesella, Federico; Cazzetta, Silvia; Branchi, Igor; Colombo, Cristina; Furlan, Roberto; Benedetti, Francesco | |
Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines | 1-gen-2024 | Bravi, B; Melloni, Emt; Paolini, M; Palladini, M; Calesella, F; Servidio, L; Agnoletto, E; Poletti, S; Lorenzi, C; Colombo, C; Benedetti, F | |
Circulating inflammatory markers impact cognitive functions in bipolar depression | 1-gen-2021 | Poletti, S.; Mazza, M. G.; Calesella, F.; Vai, B.; Lorenzi, C.; Manfredi, E.; Colombo, C.; Zanardi, R.; Benedetti, F. | |
COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION | 11-gen-2024 | Calesella, Federico | |
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder | 1-gen-2021 | Vai, B.; Mazza, M. G.; Cazzetta, S.; Calesella, F.; Aggio, V.; Lorenzi, C.; Zanardi, R.; Poletti, S.; Colombo, C.; Benedetti, F. | |
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. | |
Inflammatory Markers Predict Blood Neurofilament Light Chain Levels in Acute COVID-19 Patients | 1-gen-2024 | De Lorenzo, R.; Loré, N. I.; Finardi, A.; Mandelli, A.; Calesella, F.; Palladini, M.; Cirillo, D. M.; Tresoldi, C.; Ciceri, F.; Rovere-Querini, P.; Manfredi, A. A.; Mazza, M. G.; Benedetti, F.; Furlan, R. | |
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in Bipolar Disorder | 1-gen-2022 | Mazza, Elena; Calesella, Federico; Paolini, Marco; di Pasquasio, Camilla; Poletti, Sara; Lorenzi, Cristina; Falini, Andrea; Zanardi, Raffaella; Colombo, Cristina; Benedetti, Francesco | |
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study | 1-gen-2021 | Cavicchioli, M.; Calesella, F.; Cazzetta, S.; Mariagrazia, M.; Ogliari, A.; Maffei, C.; Vai, B. | |
Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders | 1-gen-2022 | Poletti, Sara; Paolini, Marco; Ernst, Julia; Bollettini, Irene; Melloni, Elisa; Vai, Benedetta; Harrington, Yasmin; Bravi, Beatrice; Calesella, Federico; Lorenzi, Cristina; Zanardi, Raffaella; Benedetti, Francesco | |
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis | 1-gen-2021 | Colombo, F; Calesella, F; Mazza, Mg; Melloni, Emt; Benedetti, F; Vai, B | |
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis | 1-gen-2022 | Colombo, F.; Calesella, F.; Mazza, M. G.; Melloni, E. M. T.; Morelli, M. J.; Scotti, G. M.; Benedetti, F.; Bollettini, I.; Vai, B. | |
Multi-Scale Assessment of Harmonization Efficacy on Resting-State Functional Connectivity | 1-gen-2024 | Tassi, E.; Goffi, F.; Rossetti, M. G.; Bellani, M.; Vai, B.; Calesella, F.; Benedetti, F.; Bianchi, A. M.; Brambilla, P.; Maggioni, E. | |
Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance | 1-gen-2024 | Colombo, F.; Calesella, F.; Bravi, B.; Fortaner-Uya, L.; Monopoli, C.; Tassi, E.; Carminati, M.; Zanardi, R.; Bollettini, I.; Poletti, S.; Lorenzi, C.; Spadini, S.; Brambilla, P.; Serretti, A.; Maggioni, E.; Fabbri, C.; Benedetti, F.; Vai, B. | |
One-year mental health outcomes in a cohort of COVID-19 survivors | 1-gen-2022 | Mazza, M. G.; Palladini, M.; De Lorenzo, R.; Bravi, B.; Poletti, S.; Furlan, R.; Ciceri, F.; Vai, B.; Bollettini, I.; Melloni, E. M. T.; Mazza, E. B.; Aggio, V.; Calesella, F.; Paolini, M.; Caselani, E.; Colombo, F.; D'Orsi, G.; Di Pasquasio, C.; Fiore, P.; Calvisi, S.; Canti, V.; Castellani, J.; Cilla, M.; Cinel, E.; Damanti, S.; Ferrante, M.; Martinenghi, S.; Santini, C.; Vitali, G.; Rovere-Querini, P.; Benedetti, F. | |
Reduced cortico-limbic habituation identifies bipolar depressed suicide attempers: a machine learning study | 1-gen-2021 | Calesella, F; Vai, B; Caselani, E; Uya, Lf; Fiore, P; Lenti, C; Poletti, S; Benedetti, F | |
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters | 1-gen-2023 | Vai, B.; Calesella, F.; Lenti, C.; Fortaner-Uyà, L.; Caselani, E.; Fiore, P.; Breit, S.; Poletti, S.; Colombo, C.; Zanardi, R.; Benedetti, F. | |
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium | 1-gen-2023 | Bruin, W. B.; Abe, Y.; Alonso, P.; Anticevic, A.; Backhausen, L. L.; Balachander, S.; Bargallo, N.; Batistuzzo, M. C.; Benedetti, F.; Bertolin Triquell, S.; Brem, S.; Calesella, F.; Couto, B.; Denys, D. A. J. P.; Echevarria, M. A. N.; Eng, G. K.; Ferreira, S.; Feusner, J. D.; Grazioplene, R. G.; Gruner, P.; Guo, J. Y.; Hagen, K.; Hansen, B.; Hirano, Y.; Hoexter, M. Q.; Jahanshad, N.; Jaspers-Fayer, F.; Kasprzak, S.; Kim, M.; Koch, K.; Bin Kwak, Y.; Kwon, J. S.; Lazaro, L.; Li, C. -S. R.; Lochner, C.; Marsh, R.; Martinez-Zalacain, I.; Menchon, J. M.; Moreira, P. S.; Morgado, P.; Nakagawa, A.; Nakao, T.; Narayanaswamy, J. C.; Nurmi, E. L.; Zorrilla, J. C. P.; Piacentini, J.; Pico-Perez, M.; Piras, F.; Piras, F.; Pittenger, C.; Reddy, J. Y. C.; Rodriguez-Manrique, D.; Sakai, Y.; Shimizu, E.; Shivakumar, V.; Simpson, B. H.; Soriano-Mas, C.; Sousa, N.; Spalletta, G.; Stern, E. R.; Evelyn Stewart, S.; Szeszko, P. R.; Tang, J.; Thomopoulos, S. I.; Thorsen, A. L.; Tokiko, Y.; Tomiyama, H.; Vai, B.; Veer, I. M.; Venkatasubramanian, G.; Vetter, N. C.; Vriend, C.; Walitza, S.; Waller, L.; Wang, Z.; Watanabe, A.; Wolff, N.; Yun, J. -Y.; Zhao, Q.; van Leeuwen, W. A.; van Marle, H. J. F.; van de Mortel, L. A.; van der Straten, A.; van der Werf, Y. D.; Bin Kwak, Y.; Pariente Zorrilla, J. C.; Stewart, S. E.; van Leeuwen, W. A.; van Marle, H. J. F.; van de Mortel, L. A.; van der Straten, A.; van der Werf, Y. D.; van den Heuvel, O. A.; van Wingen, G. A.; Thompson, P. M.; Stein, D. J.; van den Heuvel, O. A.; van Wingen, G. A. | |
White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group | 1-gen-2024 | Kim, Bo-Gyeom; Kim, Gakyung; Abe, Yoshinari; Alonso, Pino; Ameis, Stephanie; Anticevic, Alan; Arnold, Paul D.; Balachander, Srinivas; Banaj, Nerisa; Bargalló, Nuria; Batistuzzo, Marcelo C.; Benedetti, Francesco; Bertolín, Sara; Beucke, Jan Carl; Bollettini, Irene; Brem, Silvia; Brennan, Brian P.; Buitelaar, Jan K.; Calvo, Rosa; Castelo-Branco, Miguel; Cheng, Yuqi; Chhatkuli, Ritu Bhusal; Ciullo, Valentina; Coelho, Ana; Couto, Beatriz; Dallaspezia, Sara; Ely, Benjamin A.; Ferreira, Sónia; Fontaine, Martine; Fouche, Jean-Paul; Grazioplene, Rachael; Gruner, Patricia; Hagen, Kristen; Hansen, Bjarne; Hanna, Gregory L.; Hirano, Yoshiyuki; Höxter, Marcelo Q.; Hough, Morgan; Hao, Hu; Huyser, Chaim; Ikuta, Toshikazu; Jahanshad, Neda; James, Anthony; Jaspers-Fayer, Fern; Kasprzak, Selina; Kathmann, Norbert; Kaufmann, Christian; Kim, Minah; Koch, Kathrin; Kvale, Gerd; Kwon, Jun Soo; Lazaro, Luisa; Lee, Junhee; Lochner, Christine; Jin, Lu; Manrique, Daniela Rodriguez; Martínez-Zalacaín, Ignacio; Masuda, Yoshitada; Matsumoto, Koji; Maziero, Maria Paula; Menchón, Jose M.; Minuzzi, Luciano; Moreira, Pedro Silva; Morgado, Pedro; Narayanaswamy, Janardhanan C.; Narumoto, Jin; Ortiz, Ana E.; Ota, Junko; Pariente, Jose C.; Perriello, Chris; Picó-Pérez, Maria; Pittenger, Christopher; Poletti, Sara; Real, Eva; Reddy, Y. C. Janardhan; van Rooij, Daan; Sakai, Yuki; Sato, João Ricardo; Segalas, Cinto; Shavitt, Roseli G.; Shen, Zonglin; Shimizu, Eiji; Shivakumar, Venkataram; Soreni, Noam; Soriano-Mas, Carles; Sousa, Nuno; Sousa, Mafalda Machado; Spalletta, Gianfranco; Stern, Emily R.; Stewart, S. Evelyn; Szeszko, Philip R.; Thomas, Rajat; Thomopoulos, Sophia I.; Vecchio, Daniela; Venkatasubramanian, Ganesan; Vriend, Chris; Walitza, Susanne; Wang, Zhen; Watanabe, Anri; Wolters, Lidewij; Jian, Xu; Yamada, Kei; Yun, Je-Yeon; Zarei, Mojtaba; Zhao, Qing; Zhu, Xi; Arai, Honami; Araújo, Ana Isabel; Araki, Kentaro; Arnold, Paul D.; Baker, Justin T.; Bargalló, Núria; Bertolín, Sara; Best, John R.; Boedhoe, Premika S. W.; Bölte, Sven; Brecke, Vilde; Buitelaar, Jan K.; Calvo, Rosa; Cappi, Carolina; Castelhano, Joao; Chen, Wei; Chihiro, Sutoh; Cho, Kang Ik Kevin; Choi, Sunah; Costa, Daniel; Dai, Nan; Dalvie, Shareefa; Denys, Damiaan; Diniz, Juliana B.; Duarte, Isabel C.; Calesella, Federico; Feusner, Jamie D.; Fitzgerald, Kate D.; Fridgeirsson, Egill Axfjord; Grünblatt, Edna; Hamatani, Sayo; Hanna, Gregory; Mengxin, He; van den Heuvel, Odile A.; Höxter, Marcelo Q.; Hough, Morgan; Ikari, Keisuke; Ipser, Jonathan; Jiang, Hongyan; Jiang, Linling; de Joode, Niels T.; Kathmann, Norbert; Kim, Taekwan; Kitagawa, Hitomi; Kuno, Masaru; Bin Kwak, Yoo; Kwon, Jun Soo; van Leeuwen, Wieke; Chiang-shan Ray, Li; Na, Li; Liu, Yanni; Liu, Fang; Lopes, Antonio Carlos; Jin, Lu; Milaneschi, Yuri; van Marle, Hein; Mas, Sergi; Mataix-Cols, David; de Mathis, Maria Alice; Mazieiro, Maria Paula; Medland, Sarah; Melo, Renata; Miguel, Euripedes C.; Morer, Astrid; De Nadai, Alessandro S.; Nakao, Tomohiro; Nihei, Masato; Norman, Luke; Nurmi, Erika L.; O’Neil, Joseph; Sanghoon, Oh; Okawa, Sho; Piacentini, John C.; Picó-Pérez, Maria; Rodriguez, Natalia; van Rooij, Daan; Sato, João R.; Segalas, Cinto; Silva, Renata; Soreni, Noam; Stevens, Michael; van der Straten, Anouk; Takahashi, Jumpei; Tanamatis, Tais; Tang, Jinsong; Thorsen, Anders Lillevik; Tolin, David; Uhlmann, Anne; Vai, Benedetta; van der Werf, Ysbrand D.; Veltman, Dick J.; Vetter, Nora; Wang, Jicai; Weeland, Cees J.; van Wingen, Guido A.; de Wit, Stella J.; Wolff, Nicole; Xiufeng, Xu; Yoshida, Tokiko; Zhang, Fengrui; Thompson, Paul M.; Bruin, Willem B.; van Wingen, Guido A.; Piras, Federica; Piras, Fabrizio; Stein, Dan J.; van den Heuvel, Odile A.; Simpson, Helen Blair; Marsh, Rachel; Cha, Jiook |