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3. Genomics yields biological and phenotypic insights into bipolar disorder

Author

O’Connell, Kevin S., Koromina, Maria, van der Veen, Tracey, Boltz, Toni, David, Friederike S., Yang, Jessica Mei Kay, Lin, Keng-Han, Wang, Xin, Coleman, Jonathan R. I., Mitchell, Brittany L., McGrouther, Caroline C., Rangan, Aaditya V., Lind, Penelope A., Koch, Elise, Harder, Arvid, Parker, Nadine, Bendl, Jaroslav, Adorjan, Kristina, Agerbo, Esben, Albani, Diego, Alemany, Silvia, Alliey-Rodriguez, Ney, Als, Thomas D., Andlauer, Till F. M., Antoniou, Anastasia, Ask, Helga, Bass, Nicholas, Bauer, Michael, Beins, Eva C., Bigdeli, Tim B., Pedersen, Carsten Bøcker, Boks, Marco P., Børte, Sigrid, Bosch, Rosa, Brum, Murielle, Brumpton, Ben M., Brunkhorst-Kanaan, Nathalie, Budde, Monika, Bybjerg-Grauholm, Jonas, Byerley, William, Cabana-Domínguez, Judit, Cairns, Murray J., Carpiniello, Bernardo, Casas, Miquel, Cervantes, Pablo, Chatzinakos, Chris, Chen, Hsi-Chung, Clarence, Tereza, Clarke, Toni-Kim, Claus, Isabelle, Coombes, Brandon, Corfield, Elizabeth C., Cruceanu, Cristiana, Cuellar-Barboza, Alfredo, Czerski, Piotr M., Dafnas, Konstantinos, Dale, Anders M., Dalkner, Nina, Degenhardt, Franziska, DePaulo, J. Raymond, Djurovic, Srdjan, Drange, Ole Kristian, Escott-Price, Valentina, Fanous, Ayman H., Fellendorf, Frederike T., Ferrier, I. Nicol, Forty, Liz, Frank, Josef, Frei, Oleksandr, Freimer, Nelson B., Fullard, John F., Garnham, Julie, Gizer, Ian R., Gordon, Scott D., Gordon-Smith, Katherine, Greenwood, Tiffany A., Grove, Jakob, Guzman-Parra, José, Ha, Tae Hyon, Hahn, Tim, Haraldsson, Magnus, Hautzinger, Martin, Havdahl, Alexandra, Heilbronner, Urs, Hellgren, Dennis, Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Holmans, Peter A., Huang, Ming-Chyi, Ikeda, Masashi, Jamain, Stéphane, Johnson, Jessica S., Jonsson, Lina, Kalman, Janos L., Kamatani, Yoichiro, Kennedy, James L., Kim, Euitae, Kim, Jaeyoung, Kittel-Schneider, Sarah, Knowles, James A., Kogevinas, Manolis, Kranz, Thorsten M., Krebs, Kristi, Kushner, Steven A., Lavebratt, Catharina, Lawrence, Jacob, Leber, Markus, Lee, Heon-Jeong, Liao, Calwing, Lucae, Susanne, Lundberg, Martin, MacIntyre, Donald J., Maier, Wolfgang, Maihofer, Adam X., Malaspina, Dolores, Manchia, Mirko, Maratou, Eirini, Martinsson, Lina, Mattheisen, Manuel, McGregor, Nathaniel W., McInnis, Melvin G., McKay, James D., Medeiros, Helena, Meyer-Lindenberg, Andreas, Millischer, Vincent, Morris, Derek W., Moutsatsou, Paraskevi, Mühleisen, Thomas W., O’Donovan, Claire, Olsen, Catherine M., Panagiotaropoulou, Georgia, Papiol, Sergi, Pardiñas, Antonio F., Park, Hye Youn, Perry, Amy, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Quested, Digby, Rapaport, Mark H., Regeer, Eline J., Rice, John P., Rivera, Margarita, Schulte, Eva C., Senner, Fanny, Shadrin, Alexey, Shilling, Paul D., Sigurdsson, Engilbert, Sindermann, Lisa, Sirignano, Lea, Siskind, Dan, Slaney, Claire, Sloofman, Laura G., Smeland, Olav B., Smith, Daniel J., Sobell, Janet L., Soler Artigas, Maria, Stein, Dan J., Stein, Frederike, Su, Mei-Hsin, Sung, Heejong, Świątkowska, Beata, Terao, Chikashi, Tesfaye, Markos, Tesli, Martin, Thorgeirsson, Thorgeir E., Thorp, Jackson G., Toma, Claudio, Tondo, Leonardo, Tooney, Paul A., Tsai, Shih-Jen, Tsermpini, Evangelia Eirini, Vawter, Marquis P., Vedder, Helmut, Vreeker, Annabel, Walters, James T. R., Winsvold, Bendik S., Witt, Stephanie H., Won, Hong-Hee, Ye, Robert, Young, Allan H., Zandi, Peter P., Zillich, Lea, Adolfsson, Rolf, Alda, Martin, Alfredsson, Lars, Backlund, Lena, Baune, Bernhard T., Bellivier, Frank, Bengesser, Susanne, Berrettini, Wade H., Biernacka, Joanna M., Boehnke, Michael, Børglum, Anders D., Breen, Gerome, Carr, Vaughan J., Catts, Stanley, Cichon, Sven, Corvin, Aiden, Craddock, Nicholas, Dannlowski, Udo, Dikeos, Dimitris, Etain, Bruno, Ferentinos, Panagiotis, Frye, Mark, Fullerton, Janice M., Gawlik, Micha, Gershon, Elliot S., Goes, Fernando S., Green, Melissa J., Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Henskens, Frans A., Hjerling-Leffler, Jens, Hougaard, David M., Hveem, Kristian, Iwata, Nakao, Jones, Ian, Jones, Lisa A., Kahn, René S., Kelsoe, John R., Kircher, Tilo, Kirov, George, Kuo, Po-Hsiu, Landén, Mikael, Leboyer, Marion, Li, Qingqin S., Lissowska, Jolanta, Lochner, Christine, Loughland, Carmel, Luykx, Jurjen J., Martin, Nicholas G., Mathews, Carol A., Mayoral, Fermin, McElroy, Susan L., McIntosh, Andrew M., McMahon, Francis J., Medland, Sarah E., Melle, Ingrid, Milani, Lili, Mitchell, Philip B., Morken, Gunnar, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Myers, Richard M., Myung, Woojae, Neale, Benjamin M., Nievergelt, Caroline M., Nordentoft, Merete, Nöthen, Markus M., Nurnberger, John I., O’Donovan, Michael C., Oedegaard, Ketil J., Olsson, Tomas, Owen, Michael J., Paciga, Sara A., Pantelis, Christos, Pato, Carlos N., Pato, Michele T., Patrinos, George P., Pawlak, Joanna M., Ramos-Quiroga, Josep Antoni, Reif, Andreas, Reininghaus, Eva Z., Ribasés, Marta, Rietschel, Marcella, Ripke, Stephan, Rouleau, Guy A., Roussos, Panos, Saito, Takeo, Schall, Ulrich, Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Scott, Laura J., Scott, Rodney J., Serretti, Alessandro, Smoller, Jordan W., Squassina, Alessio, Stahl, Eli A., Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Streit, Fabian, Sullivan, Patrick F., Turecki, Gustavo, Vaaler, Arne E., Vieta, Eduard, Vincent, John B., Waldman, Irwin D., Weickert, Cynthia S., Weickert, Thomas W., Werge, Thomas, Whiteman, David C., Zwart, John-Anker, Edenberg, Howard J., McQuillin, Andrew, Forstner, Andreas J., Mullins, Niamh, Di Florio, Arianna, Ophoff, Roel A., and Andreassen, Ole A.

Published
2025
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4. Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesity.

Author

McWhinney, Sean, Hlinka, Jaroslav, Bakstein, Eduard, Dietze, Lorielle, Corkum, Emily, Abé, Christoph, Alda, Martin, Alexander, Nina, Benedetti, Francesco, Berk, Michael, Bøen, Erlend, Bonnekoh, Linda, Boye, Birgitte, Brosch, Katharina, Canales-Rodríguez, Erick, Cannon, Dara, Dannlowski, Udo, Demro, Caroline, Diaz-Zuluaga, Ana, Elvsåshagen, Torbjørn, Eyler, Lisa, Fortea, Lydia, Fullerton, Janice, Goltermann, Janik, Gotlib, Ian, Grotegerd, Dominik, Haarman, Bartholomeus, Hahn, Tim, Howells, Fleur, Jamalabadi, Hamidreza, Jansen, Andreas, Kircher, Tilo, Klahn, Anna, Kuplicki, Rayus, Lahud, Elijah, Landén, Mikael, Leehr, Elisabeth, Lopez-Jaramillo, Carlos, Mackey, Scott, Malt, Ulrik, Martyn, Fiona, Mazza, Elena, McDonald, Colm, McPhilemy, Genevieve, Meier, Sandra, Meinert, Susanne, Melloni, Elisa, Mitchell, Philip, Nabulsi, Leila, Nenadić, Igor, Nitsch, Robert, Opel, Nils, Ophoff, Roel, Ortuño, Maria, Overs, Bronwyn, Pineda-Zapata, Julian, Pomarol-Clotet, Edith, Radua, Joaquim, Repple, Jonathan, Roberts, Gloria, Rodriguez-Cano, Elena, Sacchet, Matthew, Salvador, Raymond, Savitz, Jonathan, Scheffler, Freda, Schofield, Peter, Schürmeyer, Navid, Shen, Chen, Sim, Kang, Sponheim, Scott, Stein, Dan, Stein, Frederike, Straube, Benjamin, Suo, Chao, Temmingh, Henk, Teutenberg, Lea, Thomas-Odenthal, Florian, Thomopoulos, Sophia, Urosevic, Snezana, Usemann, Paula, van Haren, Neeltje, Vargas, Cristian, Vieta, Eduard, Vilajosana, Enric, Vreeker, Annabel, Winter, Nils, Yatham, Lakshmi, Thompson, Paul, Andreassen, Ole, Ching, Christopher, and Hajek, Tomas

Subjects
MRI, bipolar disorder, body mass index, obesity, principal component analysis, psychiatry, Humans, Bipolar Disorder, Principal Component Analysis, Adult, Female, Male, Magnetic Resonance Imaging, Middle Aged, Obesity, Schizophrenia, Cerebral Cortex, Cluster Analysis, Young Adult, Brain
Abstract

Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA-BD working group, we investigated T1-weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and demographic variables using mixed regression models. We compared the PCA model with our prior clustering analyses of the same data and also tested it in a replication sample of 327 participants with BD or schizophrenia and healthy controls. The first principal component, which indexed a greater cortical thickness across all 68 cortical regions, was negatively associated with BD, BMI, antipsychotic medications, and age and was positively associated with Li treatment. PCA demonstrated superior goodness of fit to clustering when predicting diagnosis and BMI. Moreover, applying the PCA model to the replication sample yielded significant differences in cortical thickness between healthy controls and individuals with BD or schizophrenia. Cortical thickness in the same widespread regional network as determined by PCA was negatively associated with different clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. PCA outperformed clustering and provided an easy-to-use and interpret method to study multivariate associations between brain structure and system-level variables. PRACTITIONER POINTS: In this study of 2770 Individuals, we confirmed that cortical thickness in widespread regional networks as determined by principal component analysis (PCA) was negatively associated with relevant clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. Significant associations of many different system-level variables with the same brain network suggest a lack of one-to-one mapping of individual clinical and demographic factors to specific patterns of brain changes. PCA outperformed clustering analysis in the same data set when predicting group or BMI, providing a superior method for studying multivariate associations between brain structure and system-level variables.

Published
2024

5. White matter microstructure in obesity and bipolar disorders: an ENIGMA bipolar disorder working group study in 2186 individuals

Author

Dietze, Lorielle M. F., McWhinney, Sean R., Favre, Pauline, Abé, Christoph, Alexander, Nina, Barkhau, Carlotta, Benedetti, Francesco, Berk, Michael, Bøen, Erlend, Boye, Birgitte, Brosch, Katharina, Canales-Rodríguez, Erick J., Cannon, Dara M., Carruthers, Sean P., Corkum, Emily L. V., Dannlowski, Udo, Díaz-Zuluaga, Ana M., Dohm, Katharina, Elvsåshagen, Torbjørn, Flinkenflügel, Kira, Fortea, Lydia, Furlong, Lisa S., Goldstein, Benjamin I., Grotegerd, Dominik, Gruber, Marius, Haarman, Bartholomeus C. M., Howells, Fleur M., Jahanshad, Neda, Jamalabadi, Hamidreza, Jansen, Andreas, Karantonis, James A., Kennedy, Kody G., Kircher, Tilo T. J., Klahn, Anna Luisa, Kochunov, Peter, Kraus, Anna, Landén, Mikael, López-Jaramillo, Carlos, MacIntosh, Bradley J., Mazza, Elena, McDonald, Colm, McIntosh, Andrew M., Meinert, Hannah, Meinert, Susanne, Melloni, Elisa M. T., Mitchell, Philip B., Nenadić, Igor, Opel, Nils, Phillips, Mary, Piguet, Camille, Polosan, Mircea, Pomarol-Clotet, Edith, Pouchon, Arnaud, Radua, Joaquim, Roberts, Gloria, Ross, Alex J., Rossell, Susan L., Salvador, Raymond, Sim, Kang, Soares, Jair C., Zunta-Soares, Giovana B., Stein, Frederike, Straube, Benjamin, Suo, Chao, Teutenberg, Lea, Thomas-Odenthal, Florian, Thomopoulos, Sophia I., Usemann, Paula, Van Rheenen, Tamsyn E., Versace, Amelia, Vieta, Eduard, Vilajosana, Enric, Mwangi, Benson, Wen, Wei, Whalley, Heather C., Wu, Mon-Ju, Andreassen, Ole A., Ching, Christopher R. K., Thompson, Paul M., Houenou, Josselin, and Hajek, Tomas

Published
2024
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6. Association between a large change between the minimum and maximum monthly values of solar insolation and a history of suicide attempts in bipolar I disorder

Author

Ritter, Philipp, Glenn, Tasha, Achtyes, Eric D., Alda, Martin, Agaoglu, Esen, Altınbaş, Kürsat, Andreassen, Ole A., Angelopoulos, Elias, Ardau, Raffaella, Aydin, Memduha, Ayhan, Yavuz, Baethge, Christopher, Bauer, Rita, Baune, Bernhard T., Balaban, Ceylan, Becerra-Palars, Claudia, Behere, Aniruddh P., Behere, Prakash B., Belete, Habte, Belete, Tilahun, Belizario, Gabriel Okawa, Bellivier, Frank, Belmaker, Robert H., Benedetti, Francesco, Berk, Michael, Bersudsky, Yuly, Bicakci, Şule, Birabwa-Oketcho, Harriet, Bjella, Thomas D., Brady, Conan, Cabrera, Jorge, Cappucciati, Marco, Castro, Angela Marianne Paredes, Chen, Wei-Ling, Cheung, Eric Y. W., Chiesa, Silvia, Chanopoulou, Margarita, Crowe, Marie, Cuomo, Alessandro, Dallaspezia, Sara, Desai, Pratikkumar, Dodd, Seetal, Etain, Bruno, Fagiolini, Andrea, Fellendorf, Frederike T., Ferensztajn-Rochowiak, Ewa, Fiedorowicz, Jess G., Fountoulakis, Kostas N., Frye, Mark A., Geoffroy, Pierre A., Gitlin, Michael J., Gonzalez-Pinto, Ana, Gottlieb, John F., Grof, Paul, Haarman, Bartholomeus C. M., Harima, Hirohiko, Hasse-Sousa, Mathias, Henry, Chantal, Hoffding, Lone, Houenou, Josselin, Imbesi, Massimiliano, Isometsä, Erkki T., Ivkovic, Maja, Janno, Sven, Johnsen, Simon, Kapczinski, Flávio, Karakatsoulis, Grigorios N., Kardell, Mathias, Kessing, Lars Vedel, Kim, Seong Jae, König, Barbara, Kot, Timur L., Koval, Michael, Kunz, Mauricio, Lafer, Beny, Landén, Mikael, Larsen, Erik R., Licht, Rasmus W., Ludwig, Vera M., Lopez-Jaramillo, Carlos, MacKenzie, Alan, Madsen, Helle Østergaard, Madsen, Simone Alberte Kongstad A., Mahadevan, Jayant, Mahardika, Agustine, Manchia, Mirko, Marsh, Wendy, Martinez-Cengotitabengoa, Monica, Martini, Julia, Martiny, Klaus, Mashima, Yuki, McLoughlin, Declan M., Meesters, Alie N. R., Meesters, Ybe, Melle, Ingrid, Meza-Urzúa, Fátima, Michaelis, Elisabeth, Mikolas, Pavol, Mok, Yee Ming, Monteith, Scott, Moorthy, Muthukumaran, Morken, Gunnar, Mosca, Enrica, Mozzhegorov, Anton A., Munoz, Rodrigo, Mythri, Starlin V., Nacef, Fethi, Nadella, Ravi K., Nakanotani, Takako, Nielsen, René Ernst, O’Donovan, Claire, Omrani, Adel, Osher, Yamima, Ouali, Uta, Pantovic-Stefanovic, Maja, Pariwatcharakul, Pornjira, Petite, Joanne, Petzold, Johannes, Pfennig, Andrea, Pilhatsch, Maximilian, Ruiz, Yolanda Pica, Pinna, Marco, Pompili, Maurizio, Porter, Richard, Quiroz, Danilo, Rabelo-da-Ponte, Francisco Diego, Ramesar, Raj, Rasgon, Natalie, Ratta-apha, Woraphat, Redahan, Maria, Reddy, M. S., Reif, Andreas, Reininghaus, Eva Z., Richards, Jenny Gringer, Rybakowski, Janusz K., Sathyaputri, Leela, Scippa, Angela M., Simhandl, Christian, Smith, Daniel, Smith, José, Stackhouse, Jr., Paul W., Stein, Dan J., Stilwell, Kellen, Strejilevich, Sergio, Su, Kuan-Pin, Subramaniam, Mythily, Sulaiman, Ahmad Hatim, Suominen, Kirsi, Tanra, Andi J., Tatebayashi, Yoshitaka, Teh, Wen Lin, Tondo, Leonardo, Torrent, Carla, Tuinstra, Daniel, Uchida, Takahito, Vaaler, Arne E., Vieta, Eduard, Viswanath, Biju, Volf, Carlo, Yang, Kai-Jie, Yoldi-Negrete, Maria, Yalcinkaya, Oguz Kaan, Young, Allan H., Zgueb, Yosra, Whybrow, Peter C., and Bauer, Michael

Published
2024
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7. Network analysis of influential risk factors in adolescent suicide attempters

Author

Fernandez-Fernandez, Jennifer, Jiménez-Treviño, Luis, Andreo-Jover, Jorge, Ayad-Ahmed, Wala, Bascarán, Teresa Bobes, Canal-Rivero, Manuel, Cebria, Annabel, Crespo-Facorro, Benedicto, De la Torre-Luque, Alejandro, Diaz-Marsa, Marina, Gonzalez-Pinto, Ana, Gomez, Sandra, Grande, Iría, Iglesias, Noelia, Ortin, Francisco, March, Katya, Palao, Angela, Pérez-Díez, Iván, Pérez-Guerra, Carla, Ruiz-Veguilla, Miguel, Vieta, Eduard, Perez-Sola, Victor, and Saiz, Pilar Alejandra

Published
2024
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10. Exploring the genetics of lithium response in bipolar disorders

Author

Herrera-Rivero, Marisol, Adli, Mazda, Akiyama, Kazufumi, Akula, Nirmala, Amare, Azmeraw T., Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Bhattacharjee, Abesh Kumar, Biernacka, Joanna M., Birner, Armin, Cearns, Micah, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R., Colom, Francesc, Cruceanu, Cristiana, Czerski, Piotr M., Dalkner, Nina, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J. Raymond, Etain, Bruno, Falkai, Peter, Ferensztajn-Rochowiak, Ewa, Forstner, Andreas J., Frank, Josef, Frisén, Louise, Frye, Mark A., Fullerton, Janice M., Gallo, Carla, Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hasler, Roland, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hou, Liping, Hsu, Yi-Hsiang, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Kuo, Po-Hsiu, Kusumi, Ichiro, König, Barbara, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Maj, Mario, Manchia, Mirko, Marie-Claire, Cynthia, Martinsson, Lina, McCarthy, Michael J., McElroy, Susan L., Millischer, Vincent, Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Novák, Tomas, Nöthen, Markus M., O’Donovan, Claire, Ozaki, Norio, Papiol, Sergi, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Reif, Andreas, Reininghaus, Eva, Richard-Lepouriel, Hélène, Roberts, Gloria, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schubert, Klaus Oliver, Schulte, Eva C., Schweizer, Barbara W., Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D., Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Streit, Fabian, Tekola-Ayele, Fasil, Thalamuthu, Anbupalam, Tortorella, Alfonso, Turecki, Gustavo, Veeh, Julia, Vieta, Eduard, Viswanath, Biju, Witt, Stephanie H., Zandi, Peter P., Alda, Martin, Bauer, Michael, McMahon, Francis J., Mitchell, Philip B., Rietschel, Marcella, Schulze, Thomas G., and Baune, Bernhard T.

Published
2024
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12. Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study

Author

Ou, Anna H., Rosenthal, Sara B., Adli, Mazda, Akiyama, Kazufumi, Akula, Nirmala, Alda, Martin, Amare, Azmeraw T., Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bauer, Michael, Baune, Bernhard T., Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Bhattacharjee, Abesh Kumar, Biernacka, Joanna M., Cervantes, Pablo, Chen, Guo-Bo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R., Colom, Francesc, Cousins, David A., Cruceanu, Cristiana, Czerski, Piotr M., Dantas, Clarissa R., Dayer, Alexandre, Del Zompo, Maria, Degenhardt, Franziska, DePaulo, J. Raymond, Étain, Bruno, Falkai, Peter, Fellendorf, Frederike Tabea, Ferensztajn-Rochowiak, Ewa, Forstner, Andreas J., Frisén, Louise, Frye, Mark A., Fullerton, Janice M., Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Gruber, Oliver, Hashimoto, Ryota, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hofmann, Andrea, Hou, Liping, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kato, Tadafumi, Kittel-Schneider, Sarah, König, Barbara, Kuo, Po-Hsiu, Kusumi, Ichiro, Lackner, Nina, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Jaramillo, Carlos A. López, MacQueen, Glenda, Maj, Mario, Manchia, Mirko, Marie-Claire, Cynthia, Martinsson, Lina, Mattheisen, Manuel, McCarthy, Michael J., McElroy, Susan L., McMahon, Francis J., Mitchell, Philip B., Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Nöthen, Markus M., Novák, Tomas, Ösby, Urban, Ozaki, Norio, Papiol, Sergi, Perlis, Roy H., Pisanu, Claudia, Potash, James B., Pfennig, Andrea, Reich-Erkelenz, Daniela, Reif, Andreas, Reininghaus, Eva Z., Rietschel, Marcella, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schubert, K. Oliver, Schulze, Thomas G., Schweizer, Barbara W., Seemüller, Florian, Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D., Shimoda, Kazutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Tighe, Sarah K., Tortorella, Alfonso, Turecki, Gustavo, Vieta, Eduard, Volkert, Julia, Witt, Stephanie, Wray, Naomi R., Wright, Adam, Young, L. Trevor, Zandi, Peter P., and Kelsoe, John R.

Published
2024
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13. Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model

Author

Goya-Maldonado, Roberto, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J., Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, and Thompson, Paul M.

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition
Abstract

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. Here, we used globally representative data from the ENIGMA-MDD working group containing 7,012 participants from 30 sites (N=2,772 MDD and N=4,240 HC), which allows a comprehensive analysis with generalizable results. Based on the hypothesis that integration of vertex-wise cortical features can improve classification performance, we evaluated the classification of a DenseNet and a Support Vector Machine (SVM), with the expectation that the former would outperform the latter. We found that both classifiers exhibited close to chance performance (balanced accuracy DenseNet: 51%; SVM: 53%), when estimated on unseen sites. Slightly higher classification performance (balanced accuracy DenseNet: 58%; SVM: 55%) was found when the cross-validation folds contained subjects from all sites, indicating site effect. In conclusion, the integration of vertex-wise morphometric features and the use of the non-linear classifier did not lead to the differentiability between MDD and HC. Our results support the notion that MDD classification on this combination of such features and classifiers is unfeasible. Perhaps more sophisticated integration of multimodal information may lead to a higher performance in this diagnostic task., Comment: arXiv admin note: text overlap with arXiv:2206.08122

Published
2023

14. Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning

Author

Corponi, Filippo, Li, Bryan M., Anmella, Gerard, Valenzuela-Pascual, Clàudia, Mas, Ariadna, Pacchiarotti, Isabella, Valentí, Marc, Grande, Iria, Benabarre, Antonio, Garriga, Marina, Vieta, Eduard, Young, Allan H, Lawrie, Stephen M., Whalley, Heather C., Hidalgo-Mazzei, Diego, and Vergari, Antonio

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Signal Processing
Abstract

Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood disorders (MDs), a major determinant of worldwide disease burden. However, collecting and annotating wearable data is very resource-intensive. Studies of this kind can thus typically afford to recruit only a couple dozens of patients. This constitutes one of the major obstacles to applying modern supervised machine learning techniques to MDs detection. In this paper, we overcome this data bottleneck and advance the detection of MDs acute episode vs stable state from wearables data on the back of recent advances in self-supervised learning (SSL). This leverages unlabelled data to learn representations during pre-training, subsequently exploited for a supervised task. First, we collected open-access datasets recording with an Empatica E4 spanning different, unrelated to MD monitoring, personal sensing tasks -- from emotion recognition in Super Mario players to stress detection in undergraduates -- and devised a pre-processing pipeline performing on-/off-body detection, sleep-wake detection, segmentation, and (optionally) feature extraction. With 161 E4-recorded subjects, we introduce E4SelfLearning, the largest to date open access collection, and its pre-processing pipeline. Second, we show that SSL confidently outperforms fully-supervised pipelines using either our novel E4-tailored Transformer architecture (E4mer) or classical baseline XGBoost: 81.23% against 75.35% (E4mer) and 72.02% (XGBoost) correctly classified recording segments from 64 (half acute, half stable) patients. Lastly, we illustrate that SSL performance is strongly associated with the specific surrogate task employed for pre-training as well as with unlabelled data availability.

Published
2023
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15. Demographic and clinical associations to employment status in older-age bipolar disorder: Analysis from the GAGE-BD database project.

Author

Mallu, Amulya, Chan, Carol, Eyler, Lisa, Dols, Annemiek, Rej, Soham, Blumberg, Hilary, Sarna, Kaylee, Forester, Brent, Patrick, Regan, Forlenza, Orestes, Jimenez, Esther, Vieta, Eduard, Schouws, Sigfried, Sutherland, Ashley, Yala, Joy, Briggs, Farren, and Sajatovic, Martha

Subjects
aging, bipolar disorder, employment, functioning, somatic burden, Humans, Aged, Bipolar Disorder, Alcoholism, Aging, Employment, Demography
Abstract

OBJECTIVE: The current literature on employment in older adults with bipolar disorder (OABD) is limited. Using the Global Aging and Geriatric Experiments in Bipolar Disorder Database (GAGE-BD), we examined the relationship of occupational status in OABD to other demographic and clinical characteristics. METHODS: Seven hundred and thirty-eight participants from 11 international samples with data on educational level and occupational status were included. Employment status was dichotomized as employed versus unemployed. Generalized linear mixed models with random intercepts for the study cohort were used to examine the relationship between baseline characteristics and employment. Predictors in the models included baseline demographics, education, psychiatric symptom severity, psychiatric comorbidity, somatic comorbidity, and prior psychiatric hospitalizations. RESULTS: In the sample, 23.6% (n = 174) were employed, while 76.4% were unemployed (n = 564). In multivariable logistic regression models, less education, older age, a history of both anxiety and substance/alcohol use disorders, more prior psychiatric hospitalizations, and higher levels of BD depression severity were associated with greater odds of unemployment. In the subsample of individuals less than 65 years of age, findings were similar. No significant association between manic symptoms, gender, age of onset, or employment status was observed. CONCLUSION: Results suggest an association between educational level, age, psychiatric severity and comorbidity in relation to employment in OABD. Implications include the need for management of psychiatric symptoms and comorbidity across the lifespan, as well as improving educational access for people with BD and skills training or other support for those with work-life breaks to re-enter employment and optimize the overall outcome.

Published
2023

16. Associations of altered leukocyte DDR1 promoter methylation and childhood trauma with bipolar disorder and suicidal behavior in euthymic patients

Author

Garcia-Ruiz, Beatriz, Jiménez, Esther, Aranda, Selena, Verdolini, Norma, Gutiérrez-Zotes, Alfonso, Sáez, Cristina, Losantos, Elisa, Alonso-Lana, Silvia, Fatjó-Vilas, Mar, Sarró, Salvador, Torres, Llanos, Panicalli, Francesco, Bonnin, Caterina del Mar, Pomarol-Clotet, Edith, Vieta, Eduard, and Vilella, Elisabet

Published
2024
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18. Processing speed mediates the relationship between DDR1 and psychosocial functioning in euthymic patients with bipolar disorder presenting psychotic symptoms

Author

Aranda, Selena, Jiménez, Esther, Canales-Rodríguez, Erick J., Verdolini, Norma, Alonso, Silvia, Sepúlveda, Esteban, Julià, Antonio, Marsal, Sara, Bobes, Julio, Sáiz, Pilar A., García-Portilla, Paz, Menchón, Jose M., Crespo, José M., González-Pinto, Ana, Pérez, Víctor, Arango, Celso, Sierra, Pilar, Sanjuán, Julio, Pomarol-Clotet, Edith, Vieta, Eduard, and Vilella, Elisabet

Published
2024
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19. Prodromal symptoms and the duration of untreated psychosis in first episode of psychosis patients: what differences are there between early vs. adult onset and between schizophrenia vs. bipolar disorder?

Author

Baeza, Inmaculada, de la Serna, Elena, Mezquida, Gisela, Cuesta, Manuel J., Vieta, Eduard, Amoretti, Silvia, Lobo, Antonio, González-Pinto, Ana, Díaz-Caneja, Covadonga M., Corripio, Iluminada, Valli, Isabel, Puig, Olga, Mané, Anna, Bioque, Miquel, Ayora, Miriam, Bernardo, Miquel, and Castro-Fornieles, Josefina

Published
2024
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21. Sex-stratified mortality estimates in people with schizophrenia: A systematic review and meta-analysis of cohort studies of 2,700,825 people with schizophrenia

Author

Solmi, Marco, Croatto, Giovanni, Fabiano, Nicholas, Wong, Stanley, Gupta, Arnav, Fornaro, Michele, Schneider, Lynne Kolton, Rohani-Montez, S. Christy, Fairley, Leanne, Smith, Nathalie, Bitter, István, Gorwood, Philip, Taipale, Heidi, Tiihonen, Jari, Cortese, Samuele, Dragioti, Elena, Rietz, Ebba Du, Nielsen, Rene Ernst, Firth, Joseph, Fusar-Poli, Paolo, Hartman, Catharina, Holt, Richard I G, Høye, Anne, Koyanagi, Ai, Larsson, Henrik, Lehto, Kelli, Lindgren, Peter, Manchia, Mirko, Nordentoft, Merete, Skonieczna-Żydecka, Karolina, Stubbs, Brendon, Vancampfort, Davy, Vieta, Eduard, De Prisco, Michele, Boyer, Laurent, Højlund, Mikkel, and Correll, Christoph U.

Published
2025
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22. Sex matters: Differences in prodromes, clinical and neuropsychological features in individuals with a first episode mania or psychosis

Author

Palacios-Garran, Roberto, Amoretti, Silvia, Serra-Navarro, Maria, Torrent, Carla, Garriga, Marina, Fares-Otero, Natalia E., Sagué-Vilavella, Maria, Madero, Santiago, Forte, M. Florencia, Montejo, Laura, Salgado-Pineda, Pilar, Montoro, Irene, Sánchez-Gistau, Vanessa, Pomarol-Clotet, Edith, Menculini, Giulia, Tortorella, Alfonso, Pacchiarotti, Isabella, Garcia-Rizo, Clemente, Ramos-Quiroga, Josep Antoni, Martínez-Arán, Anabel, Vieta, Eduard, and Verdolini, Norma

Published
2025
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23. Concentrated Cognitive-Behavior Therapy for Unmedicated Children and Adolescents With Obsessive-Compulsive Disorder in Routine Clinical Care: A Randomized Controlled Trial With a 6-month Naturalistic Follow-up

Author

Hermida-Barros, Laura, García-Delgar, Blanca, Lera-Miguel, Sara, Forcadell, Eduard, Moreno, Elena, Primé-Tous, Mireia, Jaurrieta, Núria, Segú, Xavier, Vilajosana, Enric, Soriano-Mas, Carles, de la Cruz, Lorena Fernández, Vieta, Eduard, Radua, Joaquim, Lázaro, Luisa, and Fullana, Miquel A.

Published
2025
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25. Collaborative outcomes study on health and functioning during infection times (COH-FIT): Insights on modifiable and non-modifiable risk and protective factors for wellbeing and mental health during the COVID-19 pandemic from multivariable and network analyses

Author

Solmi, Marco, Thompson, Trevor, Cortese, Samuele, Estradé, Andrés, Agorastos, Agorastos, Radua, Joaquim, Dragioti, Elena, Vancampfort, Davy, Thygesen, Lau Caspar, Aschauer, Harald, Schlögelhofer, Monika, Aschauer, Elena, Schneeberger, Andres, Huber, Christian G., Hasler, Gregor, Conus, Philippe, Cuénod, Kim Q. Do, von Känel, Roland, Arrondo, Gonzalo, Fusar-Poli, Paolo, Gorwood, Philip, Llorca, Pierre-Michel, Krebs, Marie-Odile, Scanferla, Elisabetta, Kishimoto, Taishiro, Rabbani, Golam, Skonieczna-Żydecka, Karolina, Brambilla, Paolo, Favaro, Angela, Takamiya, Akihiro, Zoccante, Leonardo, Colizzi, Marco, Bourgin, Julie, Kamiński, Karol, Moghadasin, Maryam, Seedat, Soraya, Matthews, Evan, Wells, John, Vassilopoulou, Emilia, Gadelha, Ary, Su, Kuan-Pin, Kwon, Jun Soo, Kim, Minah, Lee, Tae Young, Papsuev, Oleg, Manková, Denisa, Boscutti, Andrea, Gerunda, Cristiano, Saccon, Diego, Righi, Elena, Monaco, Francesco, Croatto, Giovanni, Cereda, Guido, Demurtas, Jacopo, Brondino, Natascia, Veronese, Nicola, Enrico, Paolo, Politi, Pierluigi, Ciappolino, Valentina, Pfennig, Andrea, Bechdolf, Andreas, Meyer-Lindenberg, Andreas, Kahl, Kai G., Domschke, Katharina, Bauer, Michael, Koutsouleris, Nikolaos, Winter, Sibylle, Borgwardt, Stefan, Bitter, Istvan, Balazs, Judit, Czobor, Pál, Unoka, Zsolt, Mavridis, Dimitris, Tsamakis, Konstantinos, Bozikas, Vasilios P., Tunvirachaisakul, Chavit, Maes, Michael, Rungnirundorn, Teerayuth, Supasitthumrong, Thitiporn, Haque, Ariful, Brunoni, Andre R., Costardi, Carlos Gustavo, Schuch, Felipe Barreto, Polanczyk, Guilherme, Luiz, Jhoanne Merlyn, Fonseca, Lais, Aparicio, Luana V., Valvassori, Samira S., Nordentoft, Merete, Vendsborg, Per, Hoffmann, Sofie Have, Sehli, Jihed, Sartorius, Norman, Heuss, Sabina, Guinart, Daniel, Hamilton, Jane, Kane, John, Rubio, Jose, Sand, Michael, Koyanagi, Ai, Solanes, Aleix, Andreu-Bernabeu, Alvaro, Cáceres, Antonia San José, Arango, Celso, Díaz-Caneja, Covadonga M., Hidalgo-Mazzei, Diego, Vieta, Eduard, Gonzalez-Peñas, Javier, Fortea, Lydia, Parellada, Mara, Fullana, Miquel A., Verdolini, Norma, Andrlíková, Eva, Janků, Karolina, Millan, Mark J., Honciuc, Mihaela, Moniuszko-Malinowska, Anna, Łoniewski, Igor, Samochowiec, Jerzy, Kiszkiel, Łukasz, Marlicz, Maria, Sowa, Paweł, Marlicz, Wojciech, Spies, Georgina, Stubbs, Brendon, Firth, Joseph, Sullivan, Sarah, Darcin, Asli Enez, Aksu, Hatice, Dilbaz, Nesrin, Noyan, Onur, Kitazawa, Momoko, Kurokawa, Shunya, Tazawa, Yuki, Anselmi, Alejandro, Cracco, Cecilia, Machado, Ana Inés, Estrade, Natalia, De Leo, Diego, Curtis, Jackie, Berk, Michael, Carvalho, Andre F., Ward, Philip, Teasdale, Scott, Rosenbaum, Simon, Marx, Wolfgang, Horodnic, Adrian Vasile, Oprea, Liviu, Alexinschi, Ovidiu, Ifteni, Petru, Turliuc, Serban, Ciuhodaru, Tudor, Bolos, Alexandra, Matei, Valentin, Nieman, Dorien H., Sommer, Iris, van Os, Jim, van Amelsvoort, Therese, Sun, Ching-Fang, Guu, Ta-wei, Jiao, Can, Zhang, Jieting, Fan, Jialin, Zou, Liye, Yu, Xin, Chi, Xinli, de Timary, Philippe, van Winkel, Ruud, Ng, Bernardo, Peña de León, Edilberto, Arellano, Ramon, Roman, Raquel, Sanchez, Thelma, Movina, Larisa, Morgado, Pedro, Brissos, Sofia, Aizberg, Oleg, Mosina, Anna, Krinitski, Damir, Mugisha, James, Sadeghi-Bahmani, Dena, Sheybani, Farshad, Sadeghi, Masoud, Hadi, Samira, Brand, Serge, Errazuriz, Antonia, Crossley, Nicolas, Ristic, Dragana Ignjatovic, López-Jaramillo, Carlos, Efthymiou, Dimitris, Kuttichira, Praveenlal, Kallivayalil, Roy Abraham, Javed, Afzal, Afridi, Muhammad Iqbal, James, Bawo, Seb-Akahomen, Omonefe Joy, Fiedorowicz, Jess, Daskalakis, Jeff, Yatham, Lakshmi N., Yang, Lin, Okasha, Tarek, Dahdouh, Aïcha, Tiihonen, Jari, Shin, Jae Il, Lee, Jinhee, Mhalla, Ahmed, Gaha, Lotfi, Brahim, Takoua, Altynbekov, Kuanysh, Negay, Nikolay, Nurmagambetova, Saltanat, Jamei, Yasser Abu, Weiser, Mark, and Correll, Christoph U

Published
2025
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26. Mega-analysis of association between obesity and cortical morphology in bipolar disorders: ENIGMA study in 2832 participants.

Author

Fullerton, Janice, Goikolea, Jose, Goltermann, Janik, Grotegerd, Dominik, Haarman, Bartholomeus, Hahn, Tim, Howells, Fleur, Ingvar, Martin, Jahanshad, Neda, Kircher, Tilo, Krug, Axel, Kuplicki, Rayus, Landén, Mikael, Lemke, Hannah, Liberg, Benny, Lopez-Jaramillo, Carlos, Malt, Ulrik, Martyn, Fiona, Mazza, Elena, McDonald, Colm, McPhilemy, Genevieve, Meier, Sandra, Meinert, Susanne, Meller, Tina, Melloni, Elisa, Mitchell, Philip, Nabulsi, Leila, Nenadic, Igor, Opel, Nils, Ophoff, Roel, Overs, Bronwyn, Pfarr, Julia-Katharina, Pineda-Zapata, Julian, Pomarol-Clotet, Edith, Raduà, Joaquim, Repple, Jonathan, Richter, Maike, Ringwald, Kai, Roberts, Gloria, Ross, Alex, Salvador, Raymond, Savitz, Jonathan, Schmitt, Simon, Schofield, Peter, Sim, Kang, Stein, Dan, Stein, Frederike, Temmingh, Henk, Thiel, Katharina, Thomopoulos, Sophia, van Haren, Neeltje, Vargas, Cristian, Vieta, Eduard, Vreeker, Annabel, Waltemate, Lena, Yatham, Lakshmi, Ching, Christopher, Andreassen, Ole, Thompson, Paul, Hajek, Tomas, McWhinney, Sean, Abé, Christoph, Alda, Martin, Benedetti, Francesco, Bøen, Erlend, Del Mar Bonnin, Caterina, Borgers, Tiana, Brosch, Katharina, Canales-Rodríguez, Erick, Cannon, Dara, Dannlowski, Udo, Diaz-Zuluaga, Ana, Dietze, Lorielle, Elvsåshagen, Torbjørn, and Eyler, Lisa

Subjects
Body mass index, antipsychotics, bipolar disorders, cortical thickness, heterogeneity, lithium, obesity, surface area
Abstract

BACKGROUND: Obesity is highly prevalent and disabling, especially in individuals with severe mental illness including bipolar disorders (BD). The brain is a target organ for both obesity and BD. Yet, we do not understand how cortical brain alterations in BD and obesity interact. METHODS: We obtained body mass index (BMI) and MRI-derived regional cortical thickness, surface area from 1231 BD and 1601 control individuals from 13 countries within the ENIGMA-BD Working Group. We jointly modeled the statistical effects of BD and BMI on brain structure using mixed effects and tested for interaction and mediation. We also investigated the impact of medications on the BMI-related associations. RESULTS: BMI and BD additively impacted the structure of many of the same brain regions. Both BMI and BD were negatively associated with cortical thickness, but not surface area. In most regions the number of jointly used psychiatric medication classes remained associated with lower cortical thickness when controlling for BMI. In a single region, fusiform gyrus, about a third of the negative association between number of jointly used psychiatric medications and cortical thickness was mediated by association between the number of medications and higher BMI. CONCLUSIONS: We confirmed consistent associations between higher BMI and lower cortical thickness, but not surface area, across the cerebral mantle, in regions which were also associated with BD. Higher BMI in people with BD indicated more pronounced brain alterations. BMI is important for understanding the neuroanatomical changes in BD and the effects of psychiatric medications on the brain.

Published
2023

27. Bipolar I and bipolar II subtypes in older age: Results from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE‐BD) project

Author

Beunders, Alexandra JM, Klaus, Federica, Kok, Almar AL, Schouws, Sigfried NTM, Kupka, Ralph W, Blumberg, Hilary P, Briggs, Farren, Eyler, Lisa T, Forester, Brent P, Forlenza, Orestes V, Gildengers, Ariel, Jimenez, Esther, Mulsant, Benoit H, Patrick, Regan E, Rej, Soham, Sajatovic, Martha, Sarna, Kaylee, Sutherland, Ashley, Yala, Joy, Vieta, Eduard, Villa, Luca M, Korten, Nicole CM, and Dols, Annemieke

Subjects
Bipolar Disorder, Serious Mental Illness, Depression, Clinical Research, Mental Health, Aging, Brain Disorders, 2.4 Surveillance and distribution, Aetiology, Mental health, Humans, Aged, Cross-Sectional Studies, Cognition, Cognitive Dysfunction, bipolar disorder, cognition, comorbidities, diagnostic subtypes, elderly, functioning, geriatrics, impairment, older-age bipolar disorder, psychiatry, Clinical Sciences, Neurosciences, Psychiatry
Abstract

ObjectivesThe distinction between bipolar I disorder (BD-I) and bipolar II disorder (BD-II) has been a topic of long-lasting debate. This study examined differences between BD-I and BD-II in a large, global sample of OABD, focusing on general functioning, cognition and somatic burden as these domains are often affected in OABD.MethodsCross-sectional analyses were conducted with data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) database. The sample included 963 participants aged ≥50 years (714 BD-I, 249 BD-II). Sociodemographic and clinical factors were compared between BD subtypes including adjustment for study cohort. Multivariable analyses were conducted with generalized linear mixed models (GLMMs) and estimated associations between BD subtype and (1) general functioning (GAF), (2) cognitive performance (g-score) and (3) somatic burden, with study cohort as random intercept.ResultsAfter adjustment for study cohort, BD-II patients more often had a late onset ≥50 years (p = 0.008) and more current severe depression (p = 0.041). BD-I patients were more likely to have a history of psychiatric hospitalization (p

Published
2023

28. Global and risk-group stratified well-being and mental health during the COVID-19 pandemic in adults: Results from the international COH-FIT Study

Author

Solmi, Marco, Thompson, Trevor, Estradé, Andrés, Agorastos, Agorastos, Radua, Joaquim, Cortese, Samuele, Dragioti, Elena, Vancampfort, Davy, Thygesen, Lau Caspar, Aschauer, Harald, Schlögelhofer, Monika, Aschauer, Elena, Schneeberger, Andres, Huber, Christian G., Hasler, Gregor, Conus, Philippe, Cuénod, Kim Q. Do, von Känel, Roland, Arrondo, Gonzalo, Fusar-Poli, Paolo, Gorwood, Philip, Llorca, Pierre-Michel, Krebs, Marie-Odile, Scanferla, Elisabetta, Kishimoto, Taishiro, Rabbani, Golam, Skonieczna-Żydecka, Karolina, Brambilla, Paolo, Favaro, Angela, Takamiya, Akihiro, Zoccante, Leonardo, Colizzi, Marco, Bourgin, Julie, Kamiński, Karol, Moghadasin, Maryam, Seedat, Soraya, Matthews, Evan, Wells, John, Vassilopoulou, Emilia, Gadelha, Ary, Su, Kuan-Pin, Kwon, Jun Soo, Kim, Minah, Lee, Tae Young, Papsuev, Oleg, Manková, Denisa, Boscutti, Andrea, Gerunda, Cristiano, Saccon, Diego, Righi, Elena, Monaco, Francesco, Croatto, Giovanni, Cereda, Guido, Demurtas, Jacopo, Brondino, Natascia, Veronese, Nicola, Enrico, Paolo, Politi, Pierluigi, Ciappolino, Valentina, Pfennig, Andrea, Bechdolf, Andreas, Meyer-Lindenberg, Andreas, Kahl, Kai G., Domschke, Katharina, Bauer, Michael, Koutsouleris, Nikolaos, Winter, Sibylle, Borgwardt, Stefan, Bitter, Istvan, Balazs, Judit, Czobor, Pál, Unoka, Zsolt, Mavridis, Dimitris, Tsamakis, Konstantinos, Bozikas, Vasilios P., Tunvirachaisakul, Chavit, Maes, Michael, Rungnirundorn, Teerayuth, Supasitthumrong, Thitiporn, Haque, Ariful, Brunoni, Andre R., Costardi, Carlos Gustavo, Schuch, Felipe Barreto, Polanczyk, Guilherme, Luiz, Jhoanne Merlyn, Fonseca, Lais, Aparicio, Luana V., Valvassori, Samira S., Nordentoft, Merete, Vendsborg, Per, Hoffmann, Sofie Have, Sehli, Jihed, Sartorius, Norman, Heuss, Sabina, Guinart, Daniel, Hamilton, Jane, Kane, John, Rubio, Jose, Sand, Michael, Koyanagi, Ai, Solanes, Aleix, Andreu-Bernabeu, Alvaro, Cáceres, Antonia San José, Arango, Celso, Díaz-Caneja, Covadonga M., Hidalgo-Mazzei, Diego, Vieta, Eduard, Gonzalez-Peñas, Javier, Fortea, Lydia, Parellada, Mara, Fullana, Miquel A., Verdolini, Norma, Andrlíková, Eva, Janků, Karolina, Millan, Mark J., Honciuc, Mihaela, Moniuszko-Malinowska, Anna, Łoniewski, Igor, Samochowiec, Jerzy, Kiszkiel, Łukasz, Marlicz, Maria, Sowa, Paweł, Marlicz, Wojciech, Spies, Georgina, Stubbs, Brendon, Firth, Joseph, Sullivan, Sarah, Darcin, Asli Enez, Aksu, Hatice, Dilbaz, Nesrin, Noyan, Onur, Kitazawa, Momoko, Kurokawa, Shunya, Tazawa, Yuki, Anselmi, Alejandro, Cracco, Cecilia, Machado, Ana Inés, Estrade, Natalia, De Leo, Diego, Curtis, Jackie, Berk, Michael, Carvalho, Andre F., Ward, Philip, Teasdale, Scott, Rosenbaum, Simon, Marx, Wolfgang, Horodnic, Adrian Vasile, Oprea, Liviu, Alexinschi, Ovidiu, Ifteni, Petru, Turliuc, Serban, Ciuhodaru, Tudor, Bolos, Alexandra, Matei, Valentin, Nieman, Dorien H., Sommer, Iris, van Os, Jim, van Amelsvoort, Therese, Sun, Ching-Fang, Guu, Ta-wei, Jiao, Can, Zhang, Jieting, Fan, Jialin, Zou, Liye, Yu, Xin, Chi, Xinli, de Timary, Philippe, van Winkel, Ruud, Ng, Bernardo, Peña de León, Edilberto, Arellano, Ramon, Roman, Raquel, Sanchez, Thelma, Movina, Larisa, Morgado, Pedro, Brissos, Sofia, Aizberg, Oleg, Mosina, Anna, Krinitski, Damir, Mugisha, James, Sadeghi-Bahmani, Dena, Sheybani, Farshad, Sadeghi, Masoud, Hadi, Samira, Brand, Serge, Errazuriz, Antonia, Crossley, Nicolas, Ristic, Dragana Ignjatovic, López-Jaramillo, Carlos, Efthymiou, Dimitris, Kuttichira, Praveenlal, Kallivayalil, Roy Abraham, Javed, Afzal, Afridi, Muhammad Iqbal, James, Bawo, Seb-Akahomen, Omonefe Joy, Fiedorowicz, Jess, Daskalakis, Jeff, Yatham, Lakshmi N., Yang, Lin, Okasha, Tarek, Dahdouh, Aïcha, Tiihonen, Jari, Shin, Jae Il, Lee, Jinhee, Mhalla, Ahmed, Gaha, Lotfi, Brahim, Takoua, Altynbekov, Kuanysh, Negay, Nikolay, Nurmagambetova, Saltanat, Jamei, Yasser Abu, Weiser, Mark, and Correll, Christoph U.

Published
2024
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32. Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder

Author

Amare, Azmeraw T., Thalamuthu, Anbupalam, Schubert, Klaus Oliver, Fullerton, Janice M., Ahmed, Muktar, Hartmann, Simon, Papiol, Sergi, Heilbronner, Urs, Degenhardt, Franziska, Tekola-Ayele, Fasil, Hou, Liping, Hsu, Yi-Hsiang, Shekhtman, Tatyana, Adli, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Hasler, Roland, Richard-Lepouriel, Hélène, Perroud, Nader, Backlund, Lena, Bhattacharjee, Abesh Kumar, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna M., Birner, Armin, Marie-Claire, Cynthia, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Cruceanu, Cristiana, Czerski, Piotr M., Dalkner, Nina, Del Zompo, Maria, DePaulo, J. Raymond, Étain, Bruno, Jamain, Stephane, Falkai, Peter, Forstner, Andreas J., Frisen, Louise, Frye, Mark A., Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Fallgatter, Andreas J., Stegmaier, Sophia, Ethofer, Thomas, Biere, Silvia, Petrova, Kristiyana, Schuster, Ceylan, Adorjan, Kristina, Budde, Monika, Heilbronner, Maria, Kalman, Janos L., Kohshour, Mojtaba Oraki, Reich-Erkelenz, Daniela, Schaupp, Sabrina K., Schulte, Eva C., Senner, Fanny, Vogl, Thomas, Anghelescu, Ion-George, Arolt, Volker, Dannlowski, Udo, Dietrich, Detlef, Figge, Christian, Jäger, Markus, Lang, Fabian U., Juckel, Georg, Konrad, Carsten, Reimer, Jens, Schmauß, Max, Schmitt, Andrea, Spitzer, Carsten, von Hagen, Martin, Wiltfang, Jens, Zimmermann, Jörg, Andlauer, Till F. M., Fischer, Andre, Bermpohl, Felix, Ritter, Philipp, Matura, Silke, Gryaznova, Anna, Falkenberg, Irina, Yildiz, Cüneyt, Kircher, Tilo, Schmidt, Julia, Koch, Marius, Gade, Kathrin, Trost, Sarah, Haussleiter, Ida S., Lambert, Martin, Rohenkohl, Anja C., Kraft, Vivien, Grof, Paul, Hashimoto, Ryota, Hauser, Joanna, Herms, Stefan, Hoffmann, Per, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kuo, Po-Hsiu, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Ferensztajn-Rochowiak, Ewa, König, Barbara, Kusumi, Ichiro, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Tortorella, Alfonso, Manchia, Mirko, Martinsson, Lina, McCarthy, Michael J., McElroy, Susan, Colom, Francesc, Millischer, Vincent, Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Nöthen, Markus M., Novák, Tomas, O’Donovan, Claire, Ozaki, Norio, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Reif, Andreas, Reininghaus, Eva, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schweizer, Barbara W., Severino, Giovanni, Shilling, Paul D., Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Maj, Mario, Turecki, Gustavo, Vieta, Eduard, Veeh, Julia, Witt, Stephanie H., Wright, Adam, Zandi, Peter P., Mitchell, Philip B., Bauer, Michael, Alda, Martin, Rietschel, Marcella, McMahon, Francis J., Schulze, Thomas G., Clark, Scott R., and Baune, Bernhard T.

Published
2023
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33. Demographic and clinical characteristics of lithium-treated older adults with bipolar disorder.

Author

Forlenza, Orestes, Hajek, Tomas, Almeida, Osvaldo, Beunders, Alexandra, Blumberg, Hilary, Briggs, Farren, De-Paula, Vanessa, Dols, Annemiek, Forester, Brent, Gildengers, Ariel, Jimenez, Esther, Korten, Nicole, Lafer, Beny, McWhinney, Sean, Mulsant, Benoit, Rej, Soham, Sarna, Kaylee, Schouws, Sigfried, Sutherland, Ashley, Tsai, Shangying, Vieta, Eduard, Yala, Joy, Sajatovic, Martha, and Eyler, Lisa

Subjects
bipolar disorder, lithium, older adults, pharmacology, Aged, Antipsychotic Agents, Bipolar Disorder, Demography, Female, Humans, Lithium, Lithium Compounds, Male, Middle Aged
Abstract

OBJECTIVES: There is limited information on the characteristics of older adults with bipolar disorder (OABD) treated with lithium, along with safety concerns about its use by older adults. The aim of the present study is to describe the demographic and clinical characteristics of OABD receiving lithium therapy, using data from the Global Ageing & Geriatric Experiments in Bipolar Disorder (GAGE-BD). EXPERIMENTAL PROCEDURES: Cross-sectional analysis of the GAGE-BD dataset to determine differences and similarities between lithium users and non-users. We analysed data from 986 participants aged 50 years or older (mean age 63.5 years; 57.5% females) from 12 study sites. Two subgroups (Lithium; Non-lithium) were defined according to the current prescription of lithium. We compared several outcomes between these groups, controlling for age, gender, and study site. RESULTS: OABD treated with lithium had lower scores on depression rating scales and were less likely to be categorised as with moderate or severe depression. There was a lower proportion of lithium users than non-users among those with evidence of rapid cycling and non-bipolar psychiatric diagnoses. Assessment of global cognitive state and functionality indicated better performance among lithium users. The current use of antipsychotics was less frequent among lithium users, who also reported fewer cardiovascular comorbidities than non-users. CONCLUSION: We found several potentially relevant differences in the clinical profile of OABD treated with lithium compared with those treated with other mood stabilisers. However, the interpretation of the present results must take into account the methodological limitations inherent to the cross-sectional approach and data harmonisation.

Published
2022

34. Predictors of functional impairment in bipolar disorder: Results from 13 cohorts from seven countries by the global bipolar cohort collaborative.

Author

Burdick, Katherine, Millett, Caitlin, Yocum, Anastasia, Altimus, Cara, Andreassen, Ole, Aubin, Valerie, Belzeaux, Raoul, Berk, Michael, Biernacka, Joanna, Blumberg, Hilary, Cleare, Anthony, Diaz-Byrd, Claudia, Dubertret, Caroline, Etain, Bruno, Lagerberg, Trine, Leboyer, Marion, Martinez-Aran, Anabel, McElroy, Susan, Mitchell, Philip, Olie, Emilie, Olorunfemi, Phebe, Passerieux, Christine, Peters, Amy, Pham, Daniel, Polosan, Mircea, Potter, Julia, Sajatovic, Martha, Samalin, Ludovic, Schwan, Raymund, Shanahan, Megan, Solé, Brisa, Strawbridge, Rebecca, Stuart, Amanda, Torres, Ivan, Ueland, Torrill, Vieta, Eduard, Williams, Lana, Wrobel, Anna, Yatham, Lakshmi, Young, Allan, Nierenberg, Andrew, McInnis, Melvin, Forester, Brent, Fullerton, Janice, Frye, Mark, Gard, Sébastien, Godin, Ophelia, Haffen, Emmanuel, Eyler, Lisa, and Klaus, Federica

Subjects
Humans, Bipolar Disorder, Prospective Studies, Longitudinal Studies, Affect, Cohort Studies
Abstract

OBJECTIVES: Persistent functional impairment is common in bipolar disorder (BD) and is influenced by a number of demographic, clinical, and cognitive features. The goal of this project was to estimate and compare the influence of key factors on community function in multiple cohorts of well-characterized samples of individuals with BD. METHODS: Thirteen cohorts from 7 countries included n = 5882 individuals with BD across multiple sites. The statistical approach consisted of a systematic uniform application of analyses across sites. Each site performed a logistic regression analysis with empirically derived higher versus lower function as the dependent variable and selected clinical and demographic variables as predictors. RESULTS: We found high rates of functional impairment, ranging from 41 to 75%. Lower community functioning was associated with depressive symptoms in 10 of 12 of the cohorts that included this variable in the analysis. Lower levels of education, a greater number of prior mood episodes, the presence of a comorbid substance use disorder, and a greater total number of psychotropic medications were also associated with low functioning. CONCLUSIONS: The bipolar clinical research community is poised to work together to characterize the multi-dimensional contributors to impairment and address the barriers that impede patients complete recovery. We must also identify the core features which enable many to thrive and live successfully with BD. A large-scale, worldwide, prospective longitudinal study focused squarely on BD and its heterogeneous presentations will serve as a platform for discovery and promote major advances toward optimizing outcomes for every individual with this illness.

Published
2022

35. Symptom Severity Mixity in Older-Age Bipolar Disorder: Analyses From the Global Aging and Geriatric Experiments in Bipolar Disorder Database (GAGE-BD).

Author

Briggs, Farren, Dols, Annemiek, Rej, Soham, Almeida, Osvaldo, Beunders, Alexandra, Blumberg, Hilary, Forester, Brent, Patrick, Regan, Forlenza, Orestes, Gildengers, Ariel, Jimenez, Esther, Vieta, Eduard, Mulsant, Benoit, Schouws, Sigfried, Paans, Nadine, Strejilevich, Sergio, Sutherland, Ashley, Tsai, Shangying, Sajatovic, Martha, and Eyler, Lisa

Subjects
Bipolar disorder, depression, elderly, geriatric, mania, Aged, Aging, Bipolar Disorder, Cohort Studies, Cross-Sectional Studies, Humans, Mania
Abstract

OBJECTIVE: Some individuals with bipolar disorder (BD) experience manic and depressive symptoms concurrently, but data are limited on symptom mixity in older age bipolar disorder (OABD). Using the Global Aging & Geriatric Experiments in Bipolar Disorder Database, we characterized mixity in OABD and associations with everyday function. METHODS: The sample (n = 805), from 12 international studies, included cases with both mania and depression severity ratings at a single timepoint. Four mixity groups were created: asymptomatic (A), mixed (Mix), depressed only (Dep), and manic only (Man). Generalized linear mixed models used mixity group as the predictor variable; cohort was included as a random intercept. Everyday function was assessed with the Global Assessment of Functioning score. RESULTS: Group proportions were Mix (69.6%; n = 560), followed by Dep (18.4%; n = 148), then A (7.8%; n = 63), then Man (4.2%; n= 34); levels of depression and mania were similar in Mix compared to Dep and Man, respectively. Everyday function was lowest in Mix, highest in A, and intermediate in Man and Dep. Within Mix, severity of depression was the main driver of worse functioning. Groups differed in years of education, with A higher than all others, but did not differ by age, gender, employment status, BD subtype, or age of onset. CONCLUSIONS: Mixed features predominate in a cross-sectional, global OABD sample and are associated with worse everyday function. Among those with mixed symptoms, functional status relates strongly to current depression severity. Future studies should include cognitive and other biological variables as well as longitudinal designs to allow for evaluation of causal effects.

Published
2022

36. The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management

Author

McIntyre, Roger S, Alda, Martin, Baldessarini, Ross J, Bauer, Michael, Berk, Michael, Correll, Christoph U, Fagiolini, Andrea, Fountoulakis, Kostas, Frye, Mark A, Grunze, Heinz, Kessing, Lars V, Miklowitz, David J, Parker, Gordon, Post, Robert M, Swann, Alan C, Suppes, Trisha, Vieta, Eduard, Young, Allan, and Maj, Mario

Subjects
Health Services and Systems, Health Sciences, Clinical Research, Serious Mental Illness, Patient Safety, Prevention, Behavioral and Social Science, Suicide, Mental Health, Brain Disorders, Management of diseases and conditions, 7.3 Management and decision making, 7.1 Individual care needs, Mental health, Good Health and Well Being, Bipolar disorder, clinical characterization, phenotyping, subtypes, mixed features, cognition, rapid cycling, trauma, comorbidity, social determinants, stigma, stressors, resilience, bipolar I disorder, bipolar II disorder, mania, depression, personalization, Clinical Sciences, Psychiatry, Clinical sciences, Health services and systems
Abstract

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.

Published
2022

37. Effects of antipsychotic treatment on cardio-cerebrovascular related mortality in schizophrenia: A subanalysis of a systematic review and meta-analysis with meta-regression of moderators

Author

Solmi, Marco, Croatto, Giovanni, Gupta, Arnav, Fabiano, Nicholas, Wong, Stanley, Fornaro, Michele, Schneider, Lynne Kolton, Rohani-Montez, S. Christy, Fairley, Leanne, Smith, Nathalie, Bitter, István, Gorwood, Philip, Taipale, Heidi, Tiihonen, Jari, Cortese, Samuele, Dragioti, Elena, Rietz, Ebba Du, Nielsen, Rene Ernst, Firth, Joseph, Fusar-Poli, Paolo, Hartman, Catharina, Holt, Richard I G, Høye, Anne, Koyanagi, Ai, Larsson, Henrik, Lehto, Kelli, Lindgren, Peter, Manchia, Mirko, Nordentoft, Merete, Skonieczna-Żydecka, Karolina, Stubbs, Brendon, Vancampfort, Davy, De Prisco, Michele, Boyer, Laurent, Vieta, Eduard, and Correll, Christoph U.

Published
2024
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38. Sex differences in prolactin levels and clinical outcomes in patients with a first psychotic episode

Author

Jordà-Baleri, Teresa, Garriga, Marina, Mezquida, Gisela, Cuesta, Manuel J., Martinez-Aran, Anabel, Garcia-Rizo, Clemente, Lobo, Antonio, González-Pinto, Ana, Diaz-Caneja, Covadonga M., Roldán, Alexandra, Vieta, Eduard, Baeza, Inmaculada, Trabsa, Amira, Montalvo, Itziar, Tortorella, Alfonso, Menculini, Giulia, Verdolini, Norma, Ramos-Quiroga, Josep Antoni, Sánchez Torres, Ana M., Bernardo, Miquel, and Amoretti, Silvia

Published
2024
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39. EMDR therapy vs. supportive therapy as adjunctive treatment in trauma-exposed bipolar patients: A randomised controlled trial

Author

Hogg, Bridget, Radua, Joaquim, Gardoki-Souto, Itxaso, Fontana-McNally, Marta, Lupo, Walter, Reinares, María, Jiménez, Esther, Madre, Mercè, Blanco-Presas, Laura, Cortizo, Romina, Massó-Rodriguez, Anna, Castaño, Juan, Argila, Isabel, Castro-Rodriguez, José Ignacio, Comes, Mercè, Macias, Cristina, Sánchez-González, Roberto, Mur-Mila, Estanislao, Novo, Patricia, Rosa, Adriane R., Vieta, Eduard, Padberg, Frank, Pérez-Solà, Victor, Valiente-Gómez, Alicia, Moreno-Alcázar, Ana, and Amann, Benedikt L.

Published
2024
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41. Spanish validation of the Empirically Developed Clinical Staging Model (EmDe-5) for patients with bipolar disorder

Author

de la Fuente-Tomás, Lorena, Arranz, Belén, Sierra, Pilar, Sánchez-Autet, Mónica, García-Blanco, Ana, Gutiérrez-Rojas, Luis, Balanzá-Martínez, Vicent, Vidal-Rubio, Sonia, Vieta, Eduard, Jiménez, Esther, Hernández, Carla, Arrojo, Manuel, Gómez-Trigo, Jesús, Zapico-Merayo, Yolanda, Pelayo-Terán, Jose María, Pérez-Solà, Victor, Mur, Estanislao, Cardoner, Narcís, González-Pinto, Ana, Zorrilla, Iñaki, Ruiz-Veguilla, Miguel, Catalán-Barragán, Ruben, Safont, Gemma, Martínez-Cao, Clara, Sáiz, Pilar, Bobes, Julio, and García-Portilla, Maria Paz

Published
2024
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46. Physical comorbidities of older age bipolar disorder (OABD) patients: A global replication analysis of prevalence and sex differences

Author

Teixeira, Antonio L., Almeida, Osvaldo P., Lavin, Paola, Barbosa, Izabela G., Alda, Martin, Altinbas, Kursat, Balanzá-Martínez, Vicent, Briggs, Farren B.S., Calkin, Cynthia, Chen, Peijun, Dols, Annemieke, Eyler, Lisa T., Forester, Brent P., Forlenza, Orestes V., Gildengers, Ariel G., Hajek, Tomas, Haarman, Benno, Korten, Nicole, Jimenez, Esther, Lafer, Beny, Levin, Jennifer B., Montejo, Laura, Nunes, Paula V., Olagunju, Andrew T., Oluwaniyi, Stephen, Oudega, Mardien L., Patrick, Regan E., Radua, Joaquim, Rej, Soham, Schouws, Sigfried, Soares, Jair C., Sutherland, Ashley N., Vieta, Eduard, Yala, Joy, and Sajatovic, Martha

Published
2024
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47. Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individuals.

Author

McWhinney, Sean, Abé, Christoph, Alda, Martin, Benedetti, Francesco, Bøen, Erlend, Del Mar Bonnin, Caterina, Borgers, Tiana, Brosch, Katharina, Canales-Rodríguez, Erick, Cannon, Dara, Dannlowski, Udo, Diaz-Zuluaga, Ana, Dietze, Lorielle, Elvsåshagen, Torbjørn, Fullerton, Janice, Goikolea, Jose, Goltermann, Janik, Grotegerd, Dominik, Haarman, Bartholomeus, Hahn, Tim, Howells, Fleur, Ingvar, Martin, Kircher, Tilo, Krug, Axel, Kuplicki, Rayus, Landén, Mikael, Lemke, Hannah, Liberg, Benny, Lopez-Jaramillo, Carlos, Malt, Ulrik, Martyn, Fiona, Mazza, Elena, McDonald, Colm, McPhilemy, Genevieve, Meier, Sandra, Meinert, Susanne, Meller, Tina, Melloni, Elisa, Mitchell, Philip, Nabulsi, Leila, Nenadic, Igor, Opel, Nils, Overs, Bronwyn, Pfarr, Julia-Katharina, Pineda-Zapata, Julian, Pomarol-Clotet, Edith, Raduà, Joaquim, Repple, Jonathan, Richter, Maike, Ringwald, Kai, Roberts, Gloria, Ross, Alex, Salvador, Raymond, Savitz, Jonathan, Schmitt, Simon, Schofield, Peter, Sim, Kang, Stein, Dan, Stein, Frederike, Temmingh, Henk, Thiel, Katharina, Thomopoulos, Sophia, van Haren, Neeltje, Van Gestel, Holly, Vargas, Cristian, Vieta, Eduard, Vreeker, Annabel, Waltemate, Lena, Yatham, Lakshmi, Ching, Christopher, Andreassen, Ole, Thompson, Paul, Hajek, Tomas, Ophoff, Roel, and Eyler, Lisa

Subjects
bipolar disorders, body mass index, cortical thickness, heterogeneity, obesity, surface area, Bipolar Disorder, Body Mass Index, Cluster Analysis, Humans, Magnetic Resonance Imaging, Obesity, Temporal Lobe
Abstract

AIMS: Rates of obesity have reached epidemic proportions, especially among people with psychiatric disorders. While the effects of obesity on the brain are of major interest in medicine, they remain markedly under-researched in psychiatry. METHODS: We obtained body mass index (BMI) and magnetic resonance imaging-derived regional cortical thickness, surface area from 836 bipolar disorders (BD) and 1600 control individuals from 14 sites within the ENIGMA-BD Working Group. We identified regionally specific profiles of cortical thickness using K-means clustering and studied clinical characteristics associated with individual cortical profiles. RESULTS: We detected two clusters based on similarities among participants in cortical thickness. The lower thickness cluster (46.8% of the sample) showed thinner cortex, especially in the frontal and temporal lobes and was associated with diagnosis of BD, higher BMI, and older age. BD individuals in the low thickness cluster were more likely to have the diagnosis of bipolar disorder I and less likely to be treated with lithium. In contrast, clustering based on similarities in the cortical surface area was unrelated to BD or BMI and only tracked age and sex. CONCLUSIONS: We provide evidence that both BD and obesity are associated with similar alterations in cortical thickness, but not surface area. The fact that obesity increased the chance of having low cortical thickness could explain differences in cortical measures among people with BD. The thinner cortex in individuals with higher BMI, which was additive and similar to the BD-associated alterations, may suggest that treating obesity could lower the extent of cortical thinning in BD.

Published
2022

48. Emotional intelligence and neurocognition profiles in first-episode psychosis: A two-year follow-up study

Author

Salmerón, Sergi, Arbelo, Nestor, Ferrer-Quintero, Marta, Echevarría, Ana, Selma, Judit, Grasa, Eva Ma, Marin, Julen, Mar, Lorea, De-la-Cámara, Concepción, Ruíz-Lázaro, Pedro M, Nacher, Juan, Nicolas, Carlos Cañete, Mané, Anna, Toll, Alba, Solé, Brisa, Mallorqui, Aida, Castro-Fornieles, Josefina, Baeza, Inmaculada, Contreras, Fernando, Sáiz, Pilar A., Bobes-Bascarán, Teresa, Segarra, Rafael, Zabala, Arantzazu, Scala, Mauro, Rodriguez-Jimenez, Roberto, Usall, Judith, Butjosa, Anna, Pomarol-Clotet, Edith, García-León, Maria Ángeles, Ibañez, Angela, Moreno-Izco, Lucía, Balanzá-Martínez, Vicent, Clougher, Derek, Forte, Maria Florencia, Mezquida, Gisela, Sánchez-Torres, Ana M., Serra-Navarro, Maria, Penadés, Rafael, Lobo, Antonio, Pinto, Ana González, Panadero, Rocío, Roldán, Alexandra, Vieta, Eduard, de la Serna, Elena, Trabsa, Amira, Martínez-Aran, Anabel, Torrent, Carla, Tortorella, Alfonso, Menculini, Giulia, Ramos-Quiroga, Josep Antoni, Cuesta, Manuel J., Bernardo, Miquel, and Amoretti, Silvia

Published
2024
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