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1. Cross-cultural Validation of the Arizona Sexual Experience Scale (ASEX) in 42 Countries and 26 Languages

Author

Ballester-Arnal, Rafael, Elipe-Miravet, Marcel, Castro-Calvo, Jesús, Beltrán-Martínez, Patricia, Nagy, Léna, Koós, Mónika, Kraus, Shane W., Demetrovics, Zsolt, Potenza, Marc N., Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Briken, Peer, Burkauskas, Julius, Cárdenas-López, Georgina, Carvalho, Joana, Chen, Ji-Kang, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita I., Fernandez, David P., Fernandez, Elaine F., Fujiwara, Hironobu, Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, Gola, Mateusz, Grubbs, Joshua B., Hashim, Hashim T., Islam, Md. Saiful, Ismail, Mustafa, Jiménez-Martínez, Martha C., Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Sang-Kyu, Lewczuk, Karol, Lin, Chung-Ying, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Miller, Dan J., Orosová, Oľga, Orosz, Gábor, Ponce, Fernando P., Quintana, Gonzalo R., Garzola, Gabriel C. Quintero, Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, De Tubino Scanavino, Marco, Schulmeyer, Marion K., Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre-Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan J., Ünsal, Berk C., Vaillancourt-Morel, Marie-Pier, Van Hout, Marie Claire, and Bőthe, Beáta

Published
2024
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4. The short version of the Sexual Distress Scale (SDS-3): Measurement invariance across countries, gender identities, and sexual orientations.

Author

Grubbs, Joshua, Hashim, Hashim, Islam, Md, Ismail, Mustafa, Jiménez-Martínez, Martha, Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Sang-Kyu, Lewczuk, Karol, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Milea, Ion, Miller, Dan, Orosová, Oľga, Orosz, Gábor, Ponce, Fernando, Quintana, Gonzalo, Garzola, Gabriel, Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, Scanavino, Marco, Schulmeyer, Marion, Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre-Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan, Strizek, Julian, Štulhofer, Aleksandar, Ünsal, Berk, Vaillancourt-Morel, Marie-Pier, Van Hout, Marie, Bőthe, Beáta, Lin, Chung-Ying, Tsai, Meng-Che, Koós, Mónika, Nagy, Léna, Kraus, Shane, Demetrovics, Zsolt, Potenza, Marc, Ballester-Arnal, Rafael, Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Briken, Peer, Cárdenas-López, Georgina, Carvalho, Joana, Castro-Calvo, Jesús, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita, Fernandez, David, Fernandez, Elaine, Fujiwara, Hironobu, Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, and Gola, Mateusz

Subjects
Confirmatory factor analysis (CFA), International sex survey, Psychometric analysis, Sexual distress
Abstract

BACKGROUND: The three-item Sexual Distress Scale (SDS-3) has been frequently used to assess distress related to sexuality in public health surveys and research on sexual wellbeing. However, its psychometric properties and measurement invariance across cultural, gender and sexual subgroups have not yet been examined. This multinational study aimed to validate the SDS-3 and test its psychometric properties, including measurement invariance across language, country, gender identity, and sexual orientation groups. METHODS: We used global survey data from 82,243 individuals (Mean age=32.39 years; 40.3 % men, 57.0 % women, 2.8 % non-binary, and 0.6 % other genders) participating in the International Sexual Survey (ISS; https://internationalsexsurvey.org/) across 42 countries and 26 languages. Participants completed the SDS-3, as well as questions regarding sociodemographic characteristics, including gender identity and sexual orientation. RESULTS: Confirmatory factor analysis (CFA) supported a unidimensional factor structure for the SDS-3, and multi-group CFA (MGCFA) suggested that this factor structure was invariant across countries, languages, gender identities, and sexual orientations. Cronbachs α for the unidimensional score was 0.83 (range between 0.76 and 0.89), and McDonalds ω was 0.84 (range between 0.76 and 0.90). Participants who did not experience sexual problems had significantly lower SDS-3 total scores (M = 2.99; SD=2.54) compared to those who reported sexual problems (M = 5.60; SD=3.00), with a large effect size (Cohens d = 1.01 [95 % CI=-1.03, -0.98]; p < 0.001). CONCLUSION: The SDS-3 has a unidimensional factor structure and appears to be valid and reliable for measuring sexual distress among individuals from different countries, gender identities, and sexual orientations.

Published
2024

5. Correction: The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium

Author

Bruin, Willem B, Abe, Yoshinari, Alonso, Pino, Anticevic, Alan, Backhausen, Lea L, Balachander, Srinivas, Bargallo, Nuria, Batistuzzo, Marcelo C, Benedetti, Francesco, Bertolin Triquell, Sara, Brem, Silvia, Calesella, Federico, Couto, Beatriz, Denys, Damiaan AJP, Echevarria, Marco AN, Eng, Goi Khia, Ferreira, Sónia, Feusner, Jamie D, Grazioplene, Rachael G, Gruner, Patricia, Guo, Joyce Y, Hagen, Kristen, Hansen, Bjarne, Hirano, Yoshiyuki, Hoexter, Marcelo Q, Jahanshad, Neda, Jaspers-Fayer, Fern, Kasprzak, Selina, Kim, Minah, Koch, Kathrin, Bin Kwak, Yoo, Kwon, Jun Soo, Lazaro, Luisa, Li, Chiang-Shan R, Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Menchon, Jose M, Moreira, Pedro S, Morgado, Pedro, Nakagawa, Akiko, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, Zorrilla, Jose C Pariente, Piacentini, John, Picó-Pérez, Maria, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Reddy, Janardhan YC, Rodriguez-Manrique, Daniela, Sakai, Yuki, Shimizu, Eiji, Shivakumar, Venkataram, Simpson, Blair H, Soriano-Mas, Carles, Sousa, Nuno, Spalletta, Gianfranco, Stern, Emily R, Evelyn Stewart, S, Szeszko, Philip R, Tang, Jinsong, Thomopoulos, Sophia I, Thorsen, Anders L, Yoshida, Tokiko, Tomiyama, Hirofumi, Vai, Benedetta, Veer, Ilya M, Venkatasubramanian, Ganesan, Vetter, Nora C, Vriend, Chris, Walitza, Susanne, Waller, Lea, Wang, Zhen, Watanabe, Anri, Wolff, Nicole, Yun, Je-Yeon, Zhao, Qing, van Leeuwen, Wieke A, van Marle, Hein JF, van de Mortel, Laurens A, van der Straten, Anouk, van der Werf, Ysbrand D, Thompson, Paul M, Stein, Dan J, van den Heuvel, Odile A, and van Wingen, Guido A

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Machine Learning and Artificial Intelligence, Mental Illness, Serious Mental Illness, Brain Disorders, Anxiety Disorders, Mental Health, Good Health and Well Being, ENIGMA-OCD Working Group, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Correction to: Molecular Psychiatry, published online 2 May 2023 In this article Honami Arai, Irene Bollettini, Rosa Calvo Escalona, Ana Coelho, Federica Colombo, Leila Darwich, Martine Fontaine, Toshikazu Ikuta, Jonathan C. Ipser, Asier Juaneda-Seguí, Hitomi Kitagawa, Gerd Kvale, Mafalda Machado-Sousa, Astrid Morer, Takashi Nakamae, Jin Narumoto, Joseph O’Neill, Sho Okawa, Eva Real, Veit Roessner, Joao R. Sato, Cinto Segalàs, Roseli G. Shavitt, Dick J. Veltman, Kei Yamada were missing from the author list indexed under the ENIGMA-OCD Working Group. Additionally, there was an error regarding Tokiko Yoshida’s name, where the first name and last name were written in the wrong order. The original article has been corrected.

Published
2023

6. The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium.

Author

Bruin, Willem, Abe, Yoshinari, Alonso, Pino, Anticevic, Alan, Backhausen, Lea, Balachander, Srinivas, Bargallo, Nuria, Batistuzzo, Marcelo, Benedetti, Francesco, Bertolin Triquell, Sara, Brem, Silvia, Calesella, Federico, Couto, Beatriz, Denys, Damiaan, Echevarria, Marco, Eng, Goi, Ferreira, Sónia, Feusner, Jamie, Grazioplene, Rachael, Gruner, Patricia, Guo, Joyce, Hagen, Kristen, Hansen, Bjarne, Hirano, Yoshiyuki, Hoexter, Marcelo, Jahanshad, Neda, Jaspers-Fayer, Fern, Kasprzak, Selina, Kim, Minah, Koch, Kathrin, Bin Kwak, Yoo, Kwon, Jun, Lazaro, Luisa, Li, Chiang-Shan, Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Menchon, Jose, Moreira, Pedro, Morgado, Pedro, Nakagawa, Akiko, Nakao, Tomohiro, Narayanaswamy, Janardhanan, Nurmi, Erika, Zorrilla, Jose, Picó-Pérez, Maria, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Reddy, Janardhan, Rodriguez-Manrique, Daniela, Sakai, Yuki, Shimizu, Eiji, Shivakumar, Venkataram, Simpson, Blair, Soriano-Mas, Carles, Sousa, Nuno, Spalletta, Gianfranco, Stern, Emily, Evelyn Stewart, S, Szeszko, Philip, Tang, Jinsong, Thomopoulos, Sophia, Thorsen, Anders, Yoshida, Tokiko, Tomiyama, Hirofumi, Vai, Benedetta, Veer, Ilya, Venkatasubramanian, Ganesan, Vetter, Nora, Vriend, Chris, Walitza, Susanne, Waller, Lea, Wang, Zhen, Watanabe, Anri, Wolff, Nicole, Yun, Je-Yeon, Zhao, Qing, van Leeuwen, Wieke, van Marle, Hein, van de Mortel, Laurens, van der Straten, Anouk, van der Werf, Ysbrand, Thompson, Paul, Stein, Dan, van den Heuvel, Odile, van Wingen, Guido, and Piacentini, John

Subjects
Humans, Connectome, Brain Mapping, Magnetic Resonance Imaging, Brain, Obsessive-Compulsive Disorder, Biomarkers, Neural Pathways
Abstract

Current knowledge about functional connectivity in obsessive-compulsive disorder (OCD) is based on small-scale studies, limiting the generalizability of results. Moreover, the majority of studies have focused only on predefined regions or functional networks rather than connectivity throughout the entire brain. Here, we investigated differences in resting-state functional connectivity between OCD patients and healthy controls (HC) using mega-analysis of data from 1024 OCD patients and 1028 HC from 28 independent samples of the ENIGMA-OCD consortium. We assessed group differences in whole-brain functional connectivity at both the regional and network level, and investigated whether functional connectivity could serve as biomarker to identify patient status at the individual level using machine learning analysis. The mega-analyses revealed widespread abnormalities in functional connectivity in OCD, with global hypo-connectivity (Cohens d: -0.27 to -0.13) and few hyper-connections, mainly with the thalamus (Cohens d: 0.19 to 0.22). Most hypo-connections were located within the sensorimotor network and no fronto-striatal abnormalities were found. Overall, classification performances were poor, with area-under-the-receiver-operating-characteristic curve (AUC) scores ranging between 0.567 and 0.673, with better classification for medicated (AUC = 0.702) than unmedicated (AUC = 0.608) patients versus healthy controls. These findings provide partial support for existing pathophysiological models of OCD and highlight the important role of the sensorimotor network in OCD. However, resting-state connectivity does not so far provide an accurate biomarker for identifying patients at the individual level.

Published
2023

8. A worldwide study of white matter microstructural alterations in people living with Parkinson’s disease

Author

Owens-Walton, Conor, Nir, Talia M., Al-Bachari, Sarah, Ambrogi, Sonia, Anderson, Tim J., Aventurato, Ítalo Karmann, Cendes, Fernando, Chen, Yao-Liang, Ciullo, Valentina, Cook, Phil, Dalrymple-Alford, John C., Dirkx, Michiel F., Druzgal, Jason, Emsley, Hedley C. A., Guimarães, Rachel, Haroon, Hamied A., Helmich, Rick C., Hu, Michele T., Johansson, Martin E., Kim, Ho Bin, Klein, Johannes C., Laansma, Max, Lawrence, Katherine E., Lochner, Christine, Mackay, Clare, McMillan, Corey T., Melzer, Tracy R., Nabulsi, Leila, Newman, Ben, Opriessnig, Peter, Parkes, Laura M., Pellicano, Clelia, Piras, Fabrizio, Piras, Federica, Pirpamer, Lukas, Pitcher, Toni L., Poston, Kathleen L., Roos, Annerine, Silva, Lucas Scárdua, Schmidt, Reinhold, Schwingenschuh, Petra, Shahid-Besanti, Marian, Spalletta, Gianfranco, Stein, Dan J., Thomopoulos, Sophia I., Tosun, Duygu, Tsai, Chih-Chien, van den Heuvel, Odile A., van Heese, Eva, Vecchio, Daniela, Villalón-Reina, Julio E., Vriend, Chris, Wang, Jiun-Jie, Wu, Yih-Ru, Yasuda, Clarissa Lin, Thompson, Paul M., Jahanshad, Neda, and van der Werf, Ysbrand

Published
2024
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9. White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

Author

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, Hu, Hao, 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, Lu, Jin, 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, Xu, Jian, Yamada, Kei, Yun, Je-Yeon, Zarei, Mojtaba, Zhao, Qing, Zhu, Xi, 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, and Cha, Jiook

Published
2024
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10. Age of onset of obsessive-compulsive disorder differentially affects white matter microstructure

Author

Vriend, Chris, de Joode, Niels T., Pouwels, Petra J. W., Liu, Feng, Otaduy, Maria C. G., Pastorello, Bruno, Robertson, Frances C., Ipser, Jonathan, Lee, Seonjoo, Hezel, Dianne M., van Meter, Page E., Batistuzzo, Marcelo C., Hoexter, Marcelo Q., Sheshachala, Karthik, Narayanaswamy, Janardhanan C., Venkatasubramanian, Ganesan, Lochner, Christine, Miguel, Euripedes C., Reddy, Y. C. Janardhan, Shavitt, Roseli G., Stein, Dan J., Wall, Melanie, Simpson, Helen Blair, and van den Heuvel, Odile A.

Published
2024
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11. Compulsive sexual behavior disorder in 42 countries: Insights from the International Sex Survey and introduction of standardized assessment tools.

Author

Bőthe, Beáta, Koós, Mónika, Nagy, Léna, Kraus, Shane, Demetrovics, Zsolt, Potenza, Marc, Michaud, Aurélie, Ballester-Arnal, Rafael, Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Briken, Peer, Burkauskas, Julius, Cárdenas-López, Georgina, Carvalho, Joana, Castro-Calvo, Jesús, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita, Fernandez, David, Fernandez, Elaine, Fournier, Loïs, Fujiwara, Hironobu, Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, Gola, Mateusz, Grubbs, Joshua, Hashim, Hashim, Islam, Md, Ismail, Mustafa, Jiménez-Martínez, Martha, Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Chih-Ting, Lee, Sang-Kyu, Lewczuk, Karol, Lin, Chung-Ying, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Milea, Ionut, Miller, Dan, Orosová, Oľga, Orosz, Gábor, Ponce, Fernando, Quintana, Gonzalo, Quintero Garzola, Gabriel, Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, De Tubino Scanavino, Marco, Schulmeyer, Marion, Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan, Strizek, Julian, Štulhofer, Aleksandar, Ünsal, Berk, and Vaillancourt-Morel, Marie-Pier

Subjects
International Sex Survey (ISS), addictive behavior, assessment, compulsive sexual behavior, cross-cultural, validation, Humans, Female, Male, Reproducibility of Results, Sexual Behavior, Sexual Dysfunctions, Psychological, Paraphilic Disorders, Compulsive Behavior
Abstract

BACKGROUND AND AIMS: Despite its inclusion in the 11th revision of the International Classification of Diseases, there is a virtual paucity of high-quality scientific evidence about compulsive sexual behavior disorder (CSBD), especially in underrepresented and underserved populations. Therefore, we comprehensively examined CSBD across 42 countries, genders, and sexual orientations, and validated the original (CSBD-19) and short (CSBD-7) versions of the Compulsive Sexual Behavior Disorder Scale to provide standardized, state-of-the-art screening tools for research and clinical practice. METHOD: Using data from the International Sex Survey (N = 82,243; Mage = 32.39 years, SD = 12.52), we evaluated the psychometric properties of the CSBD-19 and CSBD-7 and compared CSBD across 42 countries, three genders, eight sexual orientations, and individuals with low vs. high risk of experiencing CSBD. RESULTS: A total of 4.8% of the participants were at high risk of experiencing CSBD. Country- and gender-based differences were observed, while no sexual-orientation-based differences were present in CSBD levels. Only 14% of individuals with CSBD have ever sought treatment for this disorder, with an additional 33% not having sought treatment because of various reasons. Both versions of the scale demonstrated excellent validity and reliability. DISCUSSION AND CONCLUSIONS: This study contributes to a better understanding of CSBD in underrepresented and underserved populations and facilitates its identification in diverse populations by providing freely accessible ICD-11-based screening tools in 26 languages. The findings may also serve as a crucial building block to stimulate research into evidence-based, culturally sensitive prevention and intervention strategies for CSBD that are currently missing from the literature.

Published
2023

12. Volume of subcortical brain regions in social anxiety disorder: mega-analytic results from 37 samples in the ENIGMA-Anxiety Working Group.

Author

Groenewold, Nynke, Bas-Hoogendam, Janna, Amod, Alyssa, Laansma, Max, Van Velzen, Laura, Aghajani, Moji, Hilbert, Kevin, Oh, Hyuntaek, Salas, Ramiro, Jackowski, Andrea, Pan, Pedro, Salum, Giovanni, Blair, James, Blair, Karina, Hirsch, Joy, Pantazatos, Spiro, Schneier, Franklin, Talati, Ardesheer, Roelofs, Karin, Volman, Inge, Blanco-Hinojo, Laura, Cardoner, Narcís, Pujol, Jesus, Beesdo-Baum, Katja, Ching, Christopher, Thomopoulos, Sophia, Jansen, Andreas, Kircher, Tilo, Krug, Axel, Nenadić, Igor, Stein, Frederike, Dannlowski, Udo, Grotegerd, Dominik, Lemke, Hannah, Meinert, Susanne, Winter, Alexandra, Erb, Michael, Kreifelts, Benjamin, Gong, Qiyong, Lui, Su, Zhu, Fei, Mwangi, Benson, Soares, Jair, Wu, Mon-Ju, Bayram, Ali, Canli, Mesut, Tükel, Raşit, Westenberg, P, Heeren, Alexandre, Cremers, Henk, Hofmann, David, Straube, Thomas, Doruyter, Alexander, Lochner, Christine, Peterburs, Jutta, Van Tol, Marie-José, Gur, Raquel, Kaczkurkin, Antonia, Larsen, Bart, Satterthwaite, Theodore, Filippi, Courtney, Gold, Andrea, Harrewijn, Anita, Zugman, André, Bülow, Robin, Grabe, Hans, Völzke, Henry, Wittfeld, Katharina, Böhnlein, Joscha, Dohm, Katharina, Kugel, Harald, Schrammen, Elisabeth, Zwanzger, Peter, Leehr, Elisabeth, Sindermann, Lisa, Ball, Tali, Fonzo, Gregory, Paulus, Martin, Stein, Murray, Klumpp, Heide, Phan, K, Furmark, Tomas, Månsson, Kristoffer, Manzouri, Amirhossein, Avery, Suzanne, Blackford, Jennifer, Clauss, Jacqueline, Feola, Brandee, Harper, Jennifer, Sylvester, Chad, Lueken, Ulrike, Veltman, Dick, Winkler, Anderson, Jahanshad, Neda, Pine, Daniel, Thompson, Paul, Stein, Dan, Van der Wee, Nic, and Simmons, Alan

Subjects
Adult, Adolescent, Humans, Phobia, Social, Magnetic Resonance Imaging, Brain, Anxiety, Neuroimaging
Abstract

There is limited convergence in neuroimaging investigations into volumes of subcortical brain regions in social anxiety disorder (SAD). The inconsistent findings may arise from variations in methodological approaches across studies, including sample selection based on age and clinical characteristics. The ENIGMA-Anxiety Working Group initiated a global mega-analysis to determine whether differences in subcortical volumes can be detected in adults and adolescents with SAD relative to healthy controls. Volumetric data from 37 international samples with 1115 SAD patients and 2775 controls were obtained from ENIGMA-standardized protocols for image segmentation and quality assurance. Linear mixed-effects analyses were adjusted for comparisons across seven subcortical regions in each hemisphere using family-wise error (FWE)-correction. Mixed-effects d effect sizes were calculated. In the full sample, SAD patients showed smaller bilateral putamen volume than controls (left: d = -0.077, pFWE = 0.037; right: d = -0.104, pFWE = 0.001), and a significant interaction between SAD and age was found for the left putamen (r = -0.034, pFWE = 0.045). Smaller bilateral putamen volumes (left: d = -0.141, pFWE

Published
2023

14. Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning

Author

Bruin, Willem B., Zhutovsky, Paul, van Wingen, Guido A., Bas-Hoogendam, Janna Marie, Groenewold, Nynke A., Hilbert, Kevin, Winkler, Anderson M., Zugman, Andre, Agosta, Federica, Åhs, Fredrik, Andreescu, Carmen, Antonacci, Chase, Asami, Takeshi, Assaf, Michal, Barber, Jacques P., Bauer, Jochen, Bavdekar, Shreya Y., Beesdo-Baum, Katja, Benedetti, Francesco, Bernstein, Rachel, Björkstrand, Johannes, Blair, Robert J., Blair, Karina S., Blanco-Hinojo, Laura, Böhnlein, Joscha, Brambilla, Paolo, Bressan, Rodrigo A., Breuer, Fabian, Cano, Marta, Canu, Elisa, Cardinale, Elise M., Cardoner, Narcís, Cividini, Camilla, Cremers, Henk, Dannlowski, Udo, Diefenbach, Gretchen J., Domschke, Katharina, Doruyter, Alexander G. G., Dresler, Thomas, Erhardt, Angelika, Filippi, Massimo, Fonzo, Gregory A., Freitag, Gabrielle F., Furmark, Tomas, Ge, Tian, Gerber, Andrew J., Gosnell, Savannah N., Grabe, Hans J., Grotegerd, Dominik, Gur, Ruben C., Gur, Raquel E., Hamm, Alfons O., Han, Laura K. M., Harper, Jennifer C., Harrewijn, Anita, Heeren, Alexandre, Hofmann, David, Jackowski, Andrea P., Jahanshad, Neda, Jett, Laura, Kaczkurkin, Antonia N., Khosravi, Parmis, Kingsley, Ellen N., Kircher, Tilo, Kostic, Milutin, Larsen, Bart, Lee, Sang-Hyuk, Leehr, Elisabeth J., Leibenluft, Ellen, Lochner, Christine, Lui, Su, Maggioni, Eleonora, Manfro, Gisele G., Månsson, Kristoffer N. T., Marino, Claire E., Meeten, Frances, Milrod, Barbara, Jovanovic, Ana Munjiza, Mwangi, Benson, Myers, Michael J., Neufang, Susanne, Nielsen, Jared A., Ohrmann, Patricia A., Ottaviani, Cristina, Paulus, Martin P., Perino, Michael T., Phan, K. Luan, Poletti, Sara, Porta-Casteràs, Daniel, Pujol, Jesus, Reinecke, Andrea, Ringlein, Grace V., Rjabtsenkov, Pavel, Roelofs, Karin, Salas, Ramiro, Salum, Giovanni A., Satterthwaite, Theodore D., Schrammen, Elisabeth, Sindermann, Lisa, Smoller, Jordan W., Soares, Jair C., Stark, Rudolf, Stein, Frederike, Straube, Thomas, Straube, Benjamin, Strawn, Jeffrey R., Suarez-Jimenez, Benjamin, Sylvester, Chad M., Talati, Ardesheer, Thomopoulos, Sophia I., Tükel, Raşit, van Nieuwenhuizen, Helena, Werwath, Kathryn, Wittfeld, Katharina, Wright, Barry, Wu, Mon-Ju, Yang, Yunbo, Zilverstand, Anna, Zwanzger, Peter, Blackford, Jennifer U., Avery, Suzanne N., Clauss, Jacqueline A., Lueken, Ulrike, Thompson, Paul M., Pine, Daniel S., Stein, Dan J., van der Wee, Nic J. A., Veltman, Dick J., and Aghajani, Moji

Published
2024
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15. Neurobiology of subtypes of trichotillomania and skin picking disorder

Author

Grant, Jon E, Bethlehem, Richard AI, Chamberlain, Samuel R, Peris, Tara S, Ricketts, Emily J, O’Neill, Joseph, Dougherty, Darin D, Stein, Dan, Lochner, Christine, Woods, Douglas W, Piacentini, John, and Keuthen, Nancy J

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Prevention, Neurosciences, Mental Health, Clinical Research, Good Health and Well Being, Adult, Humans, Female, Trichotillomania, Brain, Impulsive Behavior, Comorbidity, skin picking disorder, imaging, subtypes, neurobiology, Psychiatry, Clinical sciences, Biological psychology
Abstract

BackgroundTrichotillomania (TTM) and skin picking disorder (SPD) are common and often debilitating mental health conditions, grouped under the umbrella term of body-focused repetitive behaviors (BFRBs). Recent clinical subtyping found that there were three distinct subtypes of TTM and two of SPD. Whether these clinical subtypes map on to any unique neurobiological underpinnings, however, remains unknown.MethodsTwo hundred and fifty one adults [193 with a BFRB (85.5% [n = 165] female) and 58 healthy controls (77.6% [n = 45] female)] were recruited from the community for a multicenter between-group comparison using structural neuroimaging. Differences in whole brain structure were compared across the subtypes of BFRBs, controlling for age, sex, scanning site, and intracranial volume.ResultsWhen the subtypes of TTM were compared, low awareness hair pullers demonstrated increased cortical volume in the lateral occipital lobe relative to controls and sensory sensitive pullers. In addition, impulsive/perfectionist hair pullers showed relative decreased volume near the lingual gyrus of the inferior occipital-parietal lobe compared with controls.ConclusionsThese data indicate that the anatomical substrates of particular forms of BFRBs are dissociable, which may have implications for understanding clinical presentations and treatment response.

Published
2023

20. Neural basis of associative learning in Trichotillomania and skin-picking disorder

Author

Dougherty, Darin D, Peters, Amy T, Grant, Jon E, Peris, Tara S, Ricketts, Emily J, Migó, Marta, Chou, Tina, O'Neill, Joseph, Stein, Dan J, Lochner, Christine, Keuthen, Nancy, Piacentini, John, and Deckersbach, Thilo

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Neurosciences, Basic Behavioral and Social Science, Brain Disorders, Clinical Research, Behavioral and Social Science, Mental Health, Underpinning research, 1.1 Normal biological development and functioning, 1.2 Psychological and socioeconomic processes, Mental health, Neurological, Adolescent, Adult, Bayes Theorem, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Trichotillomania, Young Adult, Skin-picking disorder, Associative learning, Cognitive flexibility, Functional neuroimaging, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Disorders such as Trichotillomania (TTM) and skin-picking disorder (SPD) are associated with reduced flexibility and increased internally focused attention. While the basal ganglia have been hypothesized to play a key role, the mechanisms underlying learning and flexible accommodation of new information is unclear. Using a Bayesian Learning Model, we evaluated the neural basis of learning and accommodation in individuals with TTM and/or SPD. Participants were 127 individuals with TTM and/or SPD (TTM/SPD) recruited from three sites (age 18-57, 84% female) and 26 healthy controls (HC). During fMRI, participants completed a shape-button associative learning and reversal fMRI task. Above-threshold clusters were identified where the Initial Learning-Reversals BOLD activation contrast differed significantly (p

Published
2022

23. The short version of the Sexual Distress Scale (SDS-3): Measurement invariance across countries, gender identities, and sexual orientations

Author

Lin, Chung-Ying, Tsai, Meng-Che, Koós, Mónika, Nagy, Léna, Kraus, Shane W., Demetrovics, Zsolt, Potenza, Marc N., Ballester-Arnal, Rafael, Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Briken, Peer, Cárdenas-López, Georgina, Carvalho, Joana, Castro-Calvo, Jesús, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita I., Fernandez, David P., Fernandez, Elaine F., Fujiwara, Hironobu, Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, Gola, Mateusz, Grubbs, Joshua B., Hashim, Hashim T., Islam, Md. Saiful, Ismail, Mustafa, Jiménez-Martínez, Martha, Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Sang-Kyu, Lewczuk, Karol, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Milea, Ion, Miller, Dan J., Orosová, Oľga, Orosz, Gábor, Ponce, Fernando P., Quintana, Gonzalo R., Garzola, Gabriel C. Quintero, Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, Scanavino, Marco De Tubino, Schulmeyer, Marion K., Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre-Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan J., Strizek, Julian, Štulhofer, Aleksandar, Ünsal, Berk C., Vaillancourt-Morel, Marie-Pier, Van Hout, Marie Claire, and Bőthe, Beáta

Published
2024
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24. Cross-cultural validation and measurement invariance of anxiety and depression symptoms: A study of the Brief Symptom Inventory (BSI) in 42 countries

Author

Quintana, Gonzalo R., Ponce, Fernando P., Escudero-Pastén, Javier I., Santibáñez-Palma, Juan F., Nagy, Léna, Koós, Mónika, Kraus, Shane W., Demetrovics, Zsolt, Potenza, Marc N., Ballester-Arnal, Rafael, Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Briken, Peer, Burkauskas, Julius, Cárdenas-López, Georgina, Carvalho, Joana, Castro-Calvo, Jesús, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita I., Fernandez, David P., Fernandez, Elaine F., Fujiwara, Hironobu, Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, Gola, Mateusz, Grubbs, Joshua B., Hashim, Hashim T., Islam, Md. Saiful, Ismail, Mustafa, Jiménez-Martínez, Martha C., Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Chih-Ting, Lee, Sang-Kyu, Lewczuk, Karol, Lin, Chung-Ying, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Miller, Dan J., Orosová, Oľga, Orosz, Gábor, Quintero Garzola, Gabriel C., Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, Scanavino, Marco De Tubino, Schulmeyer, Marion K., Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre-Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan J., Ünsal, Berk C., Vaillancourt-Morel, Marie-Pier, Van Hout, Marie Claire, and Bőthe, Beáta

Published
2024
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25. White matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group

Author

Ottino-González, Jonatan, Uhlmann, Anne, Hahn, Sage, Cao, Zhipeng, Cupertino, Renata B, Schwab, Nathan, Allgaier, Nicholas, Alia-Klein, Nelly, Ekhtiari, Hamed, Fouche, Jean-Paul, Goldstein, Rita Z, Li, Chiang-Shan R, Lochner, Christine, London, Edythe D, Luijten, Maartje, Masjoodi, Sadegh, Momenan, Reza, Oghabian, Mohammad Ali, Roos, Annerine, Stein, Dan J, Stein, Elliot A, Veltman, Dick J, Verdejo-García, Antonio, Zhang, Sheng, Zhao, Min, Zhong, Na, Jahanshad, Neda, Thompson, Paul M, Conrod, Patricia, Mackey, Scott, and Garavan, Hugh

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Brain Disorders, Substance Misuse, Drug Abuse (NIDA only), Clinical Research, Methamphetamine, Neurosciences, Mental health, Good Health and Well Being, Cocaine, Diffusion Tensor Imaging, Humans, Nicotine, White Matter, Addiction, DTI, FA, Myelin, Machine learning, Medical and Health Sciences, Psychology and Cognitive Sciences, Substance Abuse, Biochemistry and cell biology, Pharmacology and pharmaceutical sciences, Epidemiology
Abstract

BackgroundNicotine and illicit stimulants are very addictive substances. Although associations between grey matter and dependence on stimulants have been frequently reported, white matter correlates have received less attention.MethodsEleven international sites ascribed to the ENIGMA-Addiction consortium contributed data from individuals with dependence on cocaine (n = 147), methamphetamine (n = 132) and nicotine (n = 189), as well as non-dependent controls (n = 333). We compared the fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) of 20 bilateral tracts. Also, we compared the performance of various machine learning algorithms in deriving brain-based classifications on stimulant dependence.ResultsThe cocaine and methamphetamine groups had lower regional FA and higher RD in several association, commissural, and projection white matter tracts. The methamphetamine dependent group additionally showed lower regional AD. The nicotine group had lower FA and higher RD limited to the anterior limb of the internal capsule. The best performing machine learning algorithm was the support vector machine (SVM). The SVM successfully classified individuals with dependence on cocaine (AUC = 0.70, p

Published
2022

26. An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group: The power of worldwide collaboration

Author

van den Heuvel, Odile A, Boedhoe, Premika SW, Bertolin, Sara, Bruin, Willem B, Francks, Clyde, Ivanov, Iliyan, Jahanshad, Neda, Kong, Xiang‐Zhen, Kwon, Jun Soo, O'Neill, Joseph, Paus, Tomas, Patel, Yash, Piras, Fabrizio, Schmaal, Lianne, Soriano‐Mas, Carles, Spalletta, Gianfranco, van Wingen, Guido A, Yun, Je‐Yeon, Vriend, Chris, Simpson, H Blair, van Rooij, Daan, Hoexter, Marcelo Q, Hoogman, Martine, Buitelaar, Jan K, Arnold, Paul, Beucke, Jan C, Benedetti, Francesco, Bollettini, Irene, Bose, Anushree, Brennan, Brian P, De Nadai, Alessandro S, Fitzgerald, Kate, Gruner, Patricia, Grünblatt, Edna, Hirano, Yoshiyuki, Huyser, Chaim, James, Anthony, Koch, Kathrin, Kvale, Gerd, Lazaro, Luisa, Lochner, Christine, Marsh, Rachel, Mataix‐Cols, David, Morgado, Pedro, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika, Pittenger, Christopher, Reddy, YC Janardhan, Sato, João R, Soreni, Noam, Stewart, S Evelyn, Taylor, Stephan F, Tolin, David, Thomopoulos, Sophia I, Veltman, Dick J, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Thompson, Paul M, Stein, Dan J, Abe, Yoshinari, Alonso, Pino, Assogna, Francesca, Banaj, Nerisa, Batistuzzo, Marcelo C, Brem, Silvia, Ciullo, Valentina, Feusner, Jamie, Martínez‐Zalacaín, Ignacio, Menchón, José M, Miguel, Euripedes C, Piacentini, John, Piras, Federica, Sakai, Yuki, Wolters, Lidewij, and Yamada, Kei

Subjects
Biological Psychology, Psychology, Brain Disorders, Clinical Research, Serious Mental Illness, Pediatric, Neurosciences, Mental Health, Mental health, Neurological, Cerebral Cortex, Humans, Machine Learning, Multicenter Studies as Topic, Neuroimaging, Obsessive-Compulsive Disorder, cortical thickness, ENIGMA, mega-analysis, meta-analysis, MRI, obsessive-compulsive disorder, surface area, volume, ENIGMA-OCD working group, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

Neuroimaging has played an important part in advancing our understanding of the neurobiology of obsessive-compulsive disorder (OCD). At the same time, neuroimaging studies of OCD have had notable limitations, including reliance on relatively small samples. International collaborative efforts to increase statistical power by combining samples from across sites have been bolstered by the ENIGMA consortium; this provides specific technical expertise for conducting multi-site analyses, as well as access to a collaborative community of neuroimaging scientists. In this article, we outline the background to, development of, and initial findings from ENIGMA's OCD working group, which currently consists of 47 samples from 34 institutes in 15 countries on 5 continents, with a total sample of 2,323 OCD patients and 2,325 healthy controls. Initial work has focused on studies of cortical thickness and subcortical volumes, structural connectivity, and brain lateralization in children, adolescents and adults with OCD, also including the study on the commonalities and distinctions across different neurodevelopment disorders. Additional work is ongoing, employing machine learning techniques. Findings to date have contributed to the development of neurobiological models of OCD, have provided an important model of global scientific collaboration, and have had a number of clinical implications. Importantly, our work has shed new light on questions about whether structural and functional alterations found in OCD reflect neurodevelopmental changes, effects of the disease process, or medication impacts. We conclude with a summary of ongoing work by ENIGMA-OCD, and a consideration of future directions for neuroimaging research on OCD within and beyond ENIGMA.

Published
2022

27. Correction: White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

Author

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, Hu, Hao, 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, Lu, Jin, 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, Xu, Jian, Yamada, Kei, Yun, Je-Yeon, Zarei, Mojtaba, Zhao, Qing, Zhu, Xi, 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, and Cha, Jiook

Published
2024
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29. Identifying subtypes of trichotillomania (hair pulling disorder) and excoriation (skin picking) disorder using mixture modeling in a multicenter sample

Author

Grant, Jon E, Peris, Tara S, Ricketts, Emily J, Lochner, Christine, Stein, Dan J, Stochl, Jan, Chamberlain, Samuel R, Scharf, Jeremiah M, Dougherty, Darin D, Woods, Douglas W, Piacentini, John, and Keuthen, Nancy J

Subjects
Clinical and Health Psychology, Psychology, Clinical Research, Neurosciences, Mental Health, Mental health, Adult, Humans, Trichotillomania, Skin picking disorder, Subtypes, Classification, Treatment, Mixture modeling, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Clinical and health psychology
Abstract

Body-focused repetitive behavior disorders (BFRBs) include Trichotillomania (TTM; Hair pulling disorder) and Excoriation (Skin Picking) Disorder (SPD). These conditions are prevalent, highly heterogeneous, under-researched, and under-treated. In order for progress to be made in optimally classifying and treating these conditions, it is necessary to identify meaningful subtypes. 279 adults (100 with TTM, 81 with SPD, 40 with both TTM and SPD, and 58 controls) were recruited for an international, multi-center between-group comparison using mixture modeling, with stringent correction for multiple comparisons. The main outcome measure was to examine distinct subtypes (aka latent classes) across all study participants using item-level data from gold-standard instruments assessing detailed clinical measures. Mixture models identified 3 subtypes of TTM (entropy 0.98) and 2 subtypes of SPD (entropy 0.99) independent of the control group. Significant differences between these classes were identified on measures of disability, automatic and focused symptoms, perfectionism, trait impulsiveness, and inattention and hyperactivity. These data indicate the existence of three separate subtypes of TTM, and two separate subtypes of SPD, which are distinct from controls. The identified clinical differences between these latent classes may be useful to tailor future treatments by focusing on particular traits. Future work should examine whether these latent subtypes relate to treatment outcomes, or particular psychobiological findings using neuroimaging techniques.

Published
2021

30. Psychometric properties of the Alcohol Use Disorders Identification Test (AUDIT) across cross-cultural subgroups, genders, and sexual orientations: Findings from the International Sex Survey (ISS)

Author

Horváth, Zsolt, Nagy, Léna, Koós, Mónika, Kraus, Shane W., Demetrovics, Zsolt, Potenza, Marc N., Ballester-Arnal, Rafael, Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Briken, Peer, Burkauskas, Julius, Cárdenas-López, Georgina, Carvalho, Joana, Castro-Calvo, Jesús, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita, Fernandez, David P., Fujiwara, Hironobu, Fernandez, Elaine F., Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, Gola, Mateusz, Grubbs, Joshua B., Hashim, Hashim T., Islam, Md. Saiful, Ismail, Mustafa, Jiménez-Martínez, Martha C., Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Sang-Kyu, Lewczuk, Karol, Lin, Chung-Ying, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Miller, Dan J., Orosová, Oľga, Orosz, Gábor, Ponce, Fernando P., Quintana, Gonzalo R., Quintero Garzola, Gabriel C., Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, Scanavino, Marco De Tubino, Schulmeyer, Marion K., Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre-Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan J., Strizek, Julian, Tsai, Meng-Che, Ünsal, Berk C., Vaillancourt-Morel, Marie-Pier, Van Hout, Marie Claire, and Bőthe, Beáta

Published
2023
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32. The eleven-item Alcohol, Smoking and Substance Involvement Screening Test (ASSIST-11): Cross-cultural psychometric evaluation across 42 countries

Author

Lee, Chih-Ting, Lin, Chung-Ying, Koós, Mónika, Nagy, Léna, Kraus, Shane W., Demetrovics, Zsolt, Potenza, Marc N., Ballester-Arnal, Rafael, Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Burkauskas, Julius, Cárdenas-López, Georgina, Carvalho, Joana, Castro-Calvo, Jesús, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita I., Fernandez, David P., Fernandez, Elaine F., Fujiwara, Hironobu, Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, Gola, Mateusz, Grubbs, Joshua B., Hashim, Hashim T., Islam, Md. Saiful, Ismail, Mustafa, Jiménez-Martínez, Martha, Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Sang-Kyu, Lewczuk, Karol, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Milea, Ionut, Miller, Dan J., Orosová, Oľga, Orosz, Gábor, Ponce, Fernando P., Quintana, Gonzalo R., Garzola, Gabriel C.Quintero, Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, Scanavino, Marco De Tubino, Schulmeyer, Marion K., Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre-Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan J., Strizek, Julian, Ünsal, Berk C., Vaillancourt-Morel, Marie-Pier, Van Hout, Marie Claire, and Bőthe, Beáta

Published
2023
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33. Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters.

Author

Bruin, Willem B, Taylor, Luke, Thomas, Rajat M, Shock, Jonathan P, Zhutovsky, Paul, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Assogna, Francesca, Benedetti, Francesco, Beucke, Jan C, Boedhoe, Premika SW, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Brennan, Brian P, Buitelaar, Jan K, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Dallaspezia, Sara, Denys, Damiaan, Ely, Benjamin A, Feusner, Jamie D, Fitzgerald, Kate D, Fouche, Jean-Paul, Fridgeirsson, Egill A, Gruner, Patricia, Gürsel, Deniz A, Hauser, Tobias U, Hirano, Yoshiyuki, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Ivanov, Iliyan, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Kwon, Jun Soo, Liu, Yanni, Lochner, Christine, Lázaro, Luisa, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Moreira, Pedro S, Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, O'Neill, Joseph, Pariente, Jose C, Perriello, Chris, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, YC Janardhan, Rus-Oswald, Oana G, Sakai, Yuki, Sato, João R, Schmaal, Lianne, 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, Venkatasubramanian, Ganesan, Wang, Zhen, Yun, Je-Yeon, van Rooij, Daan, ENIGMA-OCD Working Group, Thompson, Paul M, van den Heuvel, Odile A, Stein, Dan J, and van Wingen, Guido A

Subjects
ENIGMA-OCD Working Group, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

No diagnostic biomarkers are available for obsessive-compulsive disorder (OCD). Here, we aimed to identify magnetic resonance imaging (MRI) biomarkers for OCD, using 46 data sets with 2304 OCD patients and 2068 healthy controls from the ENIGMA consortium. We performed machine learning analysis of regional measures of cortical thickness, surface area and subcortical volume and tested classification performance using cross-validation. Classification performance for OCD vs. controls using the complete sample with different classifiers and cross-validation strategies was poor. When models were validated on data from other sites, model performance did not exceed chance-level. In contrast, fair classification performance was achieved when patients were grouped according to their medication status. These results indicate that medication use is associated with substantial differences in brain anatomy that are widely distributed, and indicate that clinical heterogeneity contributes to the poor performance of structural MRI as a disease marker.

Published
2020

34. Mapping Cortical and Subcortical Asymmetry in Obsessive-Compulsive Disorder: Findings From the ENIGMA Consortium

Author

Kong, Xiang-Zhen, Boedhoe, Premika SW, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Arnold, Paul D, Assogna, Francesca, Baker, Justin T, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Brennan, Brian P, Buitelaar, Jan, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Dallaspezia, Sara, Denys, Damiaan, Ely, Benjamin A, Feusner, Jamie, Fitzgerald, Kate D, Fouche, Jean-Paul, Fridgeirsson, Egill A, Glahn, David C, Gruner, Patricia, Gürsel, Deniz A, Hauser, Tobias U, Hirano, Yoshiyuki, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Kwon, Jun Soo, Lazaro, Luisa, Liu, Yanni, Lochner, Christine, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Medland, Sarah E, Menchón, José M, Minuzzi, Luciano, Moreira, Pedro S, Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, O'Neill, Joseph, Pariente, Jose C, Perriello, Chris, Piacentini, John, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Reddy, YC Janardhan, Rus-Oswald, Oana Georgiana, Sakai, Yuki, Sato, Joao R, Schmaal, Lianne, 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, Tsuchiyagaito, Aki, van Rooij, Daan, van Wingen, Guido A, Venkatasubramanian, Ganesan, Wang, Zhen, Yun, Je-Yeon, Group, ENIGMA OCD Working, Anticevic, Alan, Banaj, Nerisa, and Bargalló, Nuria

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Serious Mental Illness, Mental Health, Neurosciences, Brain Disorders, Clinical Research, Anxiety Disorders, Neurological, Mental health, Adult, Brain, Brain Mapping, Child, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Obsessive-Compulsive Disorder, Thalamus, Brain asymmetry, Laterality, Mega-analysis, Obsessive-compulsive disorder, Pallidum, ENIGMA OCD Working Group, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biological sciences, Biomedical and clinical sciences
Abstract

BackgroundLateralized dysfunction has been suggested in obsessive-compulsive disorder (OCD). However, it is currently unclear whether OCD is characterized by abnormal patterns of brain structural asymmetry. Here we carried out what is by far the largest study of brain structural asymmetry in OCD.MethodsWe studied a collection of 16 pediatric datasets (501 patients with OCD and 439 healthy control subjects), as well as 30 adult datasets (1777 patients and 1654 control subjects) from the OCD Working Group within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Asymmetries of the volumes of subcortical structures, and of measures of regional cortical thickness and surface areas, were assessed based on T1-weighted magnetic resonance imaging scans, using harmonized image analysis and quality control protocols. We investigated possible alterations of brain asymmetry in patients with OCD. We also explored potential associations of asymmetry with specific aspects of the disorder and medication status.ResultsIn the pediatric datasets, the largest case-control differences were observed for volume asymmetry of the thalamus (more leftward; Cohen's d = 0.19) and the pallidum (less leftward; d = -0.21). Additional analyses suggested putative links between these asymmetry patterns and medication status, OCD severity, or anxiety and depression comorbidities. No significant case-control differences were found in the adult datasets.ConclusionsThe results suggest subtle changes of the average asymmetry of subcortical structures in pediatric OCD, which are not detectable in adults with the disorder. These findings may reflect altered neurodevelopmental processes in OCD.

Published
2020

35. Corrigendum

Author

Yun, Je-Yeon, Boedhoe, Premika SW, Vriend, Chris, Jahanshad, Neda, Abe, Yoshinari, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Cheng, Yuqi, Cho, Kang Ik K, Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie D, Fouche, Jean-Paul, Gimenez, Monica, Gruner, Patricia, Hibar, Derrek P, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Ikari, Keisuke, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Lazaro, Luisa, Lochner, Christine, Marques, Paulo, Marsh, Rachel, Martinez-Zalacain, Ignacio, Mataix-Cols, David, Menchon, Jose M, Minuzzi, Luciano, Morgado, Pedro, Moreira, Pedro, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, O'Neill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, YC Janardhan, Sato, Joao R, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stevens, Michael C, Szeszko, Philip R, Tolin, David F, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, van Wingen, Guido A, Xu, Jian, Xu, Xiufeng, Zhao, Qing, Thompson, Paul M, Stein, Dan J, van den Heuvel, Odile A, and Kwon, Jun Soo

Subjects
Biomedical and Clinical Sciences, Health Sciences, Psychology, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Biomedical and clinical sciences, Health sciences
Published
2020

36. Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium

Author

Yun, Je-Yeon, Boedhoe, Premika SW, Vriend, Chris, Jahanshad, Neda, Abe, Yoshinari, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Cheng, Yuqi, Cho, Kang Ik K, Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie D, Fouche, Jean-Paul, Giménez, Mònica, Gruner, Patricia, Hibar, Derrek P, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Ikari, Keisuke, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Lazaro, Luisa, Lochner, Christine, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Morgado, Pedro, Moreira, Pedro, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, O’Neill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, YC Janardhan, Sato, Joao R, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stevens, Michael C, Szeszko, Philip R, Tolin, David F, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, van Wingen, Guido A, Xu, Jian, Xu, Xiufeng, Zhao, Qing, van den Heuvel, Odile3 A, Stein, Dan J, Thompson, Paul M, Ik, Kang, and Cho, K

Subjects
Mental Health, Brain Disorders, Serious Mental Illness, Clinical Research, Neurosciences, Neurological, Mental health, Adult, Brain, Cerebral Cortex, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neural Pathways, Obsessive-Compulsive Disorder, brain structural covariance network, graph theory, obsessive-compulsive disorder, pharmacotherapy, illness duration, ENIGMA-OCD working group, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to reflect common trajectories in brain development and maturation. Large-scale investigation of structural covariance networks in obsessive-compulsive disorder (OCD) may provide clues to the pathophysiology of this neurodevelopmental disorder. Using T1-weighted MRI scans acquired from 1616 individuals with OCD and 1463 healthy controls across 37 datasets participating in the ENIGMA-OCD Working Group, we calculated intra-individual brain structural covariance networks (using the bilaterally-averaged values of 33 cortical surface areas, 33 cortical thickness values, and six subcortical volumes), in which edge weights were proportional to the similarity between two brain morphological features in terms of deviation from healthy controls (i.e. z-score transformed). Global networks were characterized using measures of network segregation (clustering and modularity), network integration (global efficiency), and their balance (small-worldness), and their community membership was assessed. Hub profiling of regional networks was undertaken using measures of betweenness, closeness, and eigenvector centrality. Individually calculated network measures were integrated across the 37 datasets using a meta-analytical approach. These network measures were summated across the network density range of K = 0.10-0.25 per participant, and were integrated across the 37 datasets using a meta-analytical approach. Compared with healthy controls, at a global level, the structural covariance networks of OCD showed lower clustering (P

Published
2020

37. Comorbidity in trichotillomania (hair-pulling disorder): A cluster analytical approach.

Author

Lochner, Christine, Keuthen, Nancy, Curley, Erin, Tung, Esther, Redden, Sarah, Ricketts, Emily, Bauer, Christopher, Woods, Douglas, Grant, Jon, and Stein, Dan

Subjects
borderline personality disorder, comorbidity, depression, treatment, trichotillomania, Adolescent, Adult, Aged, Comorbidity, Depressive Disorder, Major, Diagnostic and Statistical Manual of Mental Disorders, Female, Humans, Male, Middle Aged, Obsessive-Compulsive Disorder, Severity of Illness Index, Trichotillomania, Young Adult
Abstract

BACKGROUND: A promising approach to reducing the phenotypic heterogeneity of psychiatric disorders involves the identification of homogeneous subtypes. Careful study of comorbidity in obsessive-compulsive disorder (OCD) contributed to the identification of the DSM-5 subtype of OCD with tics. Here we investigated one of the largest available cohorts of clinically diagnosed trichotillomania (TTM) to determine whether subtyping TTM based on comorbidity would help delineate clinically meaningful subgroups. METHODS: As part of an ongoing international collaboration, lifetime comorbidity data were collated from 304 adults with pathological hair-pulling who fulfilled criteria for DSM-IV-TR or DSM-5 TTM. Cluster analysis (Wards method) based on comorbidities was undertaken. RESULTS: Three clusters were identified, namely Cluster 1: cases without any comorbidities (n = 63, 20.7%) labeled simple TTM, Cluster 2: cases with comorbid major depressive disorder only (N = 49, 16.12%) labeled depressive TTM, and Cluster 3: cases presenting with combinations of the investigated comorbidities (N = 192, 63.16%) labeled complex TTM. The clusters differed in terms of hair-pulling severity (F = 3.75, p = .02; Kruskal-Wallis [KW] p

Published
2019

40. Contributors

Author

Abdulai-Saiku, Samira, primary, Appel, Stanley H., additional, Arnold, Arthur P., additional, Arnold, Lisa M., additional, Arnold, Robert M., additional, Bacha, Alexa, additional, Backonja, Miroslav “Misha”, additional, Bailey, Zinzi D., additional, Bateman, Lucinda, additional, Beers, David R., additional, Berti, Anna, additional, Bhatnagar, Mamta, additional, Binder, Devin K., additional, Boido, Marina, additional, Boldrini, Maura, additional, Borsook, David, additional, Breakefield, Xandra O., additional, Brown, Robert H., additional, Burstein, Rami, additional, Butelman, Eduardo R., additional, Caplan, Louis R., additional, Chen, S., additional, Chesselet, Marie-Françoise, additional, Clemens, Stefan, additional, Clemens, Paula R., additional, Coyle, Joseph T., additional, DeWitt, John C., additional, Dubal, Dena B., additional, Dubljević, Veljko, additional, Feldman, Eva L., additional, Fischer, Beth A., additional, Flux, M.C., additional, Fortin, J.S., additional, Frasca, Angelisa, additional, Garbarini, Francesca, additional, Gasser, Thomas, additional, Gillespie, Charles F., additional, Gold, Michael S., additional, Gold, Stefan M., additional, Hagerman, Randi, additional, Hamel, Regan, additional, Haney, Craig, additional, Harris, James C., additional, Hassani, Sara, additional, Haughey, Norman J., additional, Heng, Vibol, additional, Horn, J., additional, Ionescu, Rosana-Bristena, additional, Iorio, Raffaele, additional, Irwin, David J., additional, Kaminski, Henry J., additional, Khammash, Dalia, additional, Khurana, Vikram, additional, Kilstrup-Nielsen, Charlotte, additional, Kim, Bhumsoo, additional, Kim, Boram, additional, Klein, Marieke, additional, Koen, Nastassja, additional, Konopaske, Glenn T., additional, Korecka, Joanna A., additional, Kornum, Birgitte Rahbek, additional, Kreek, Mary Jeanne, additional, Kristensson, Krister, additional, Krzak, Grzegorz, additional, Kusner, Linda L., additional, Landsberger, Nicoletta, additional, Lee, Edward B., additional, Li, Tong, additional, Liberski, Paweł P., additional, Lochner, Christine, additional, Lowry, Christopher A., additional, Mann, J. John, additional, Marincowitz, Clara, additional, Mayer, E.A., additional, Mayer, E.D., additional, McCall, Iris Coates, additional, McCullough, Louise D., additional, Meaney, Michael J., additional, Melo de Gusmao, Claudio, additional, Menesgere, Abhishek L., additional, Mignot, Emmanuel, additional, Mobley, William C., additional, Montalvo, Mayra, additional, Moreland-Capuia, Alisha R., additional, Neppi-Modona, Marco, additional, Nicaise, Alexandra M., additional, Nishi, Rae, additional, O'Toole, Orna, additional, Overk, Cassia, additional, Ozelius, Laurie, additional, Parsons, Matthew P., additional, Penticoff, H.B., additional, Peruzzotti-Jametti, Luca, additional, Peters, Owen M., additional, Peterson, Allison, additional, Phan, Jessica M., additional, Pittock, Sean J., additional, Pluchino, Stefano, additional, Polk, Thad A., additional, Puwanant, Araya, additional, Rajagopal, Shreya K., additional, Ravindranath, Vijayalakshmi, additional, Raymond, Lynn A., additional, Reed, Brian, additional, Ressler, Kerry J., additional, Ritchie, Diane L., additional, Rubin, Leah H., additional, Sakowski, Stacey A., additional, Saporta, Mario A., additional, Savonenko, Alena V., additional, Scharfman, Helen E., additional, Shapiro, Bruce K., additional, Sharma, Nutan, additional, Shaw, Cayce K., additional, Shy, Michael E., additional, Sikorska, Beata, additional, Silverman, Ethan J., additional, Simon, Roger P., additional, Simonyan, Kristina, additional, Sims-Robinson, Catrina, additional, Smeyne, Richard Jay, additional, Smith, Clay, additional, Smith, Colin, additional, Srinivasan, Sharan R., additional, Stein, Dan J., additional, Stephen, Christopher D., additional, Subramanian, Indu, additional, Szabo, Edina, additional, Thomas, Alissa A., additional, Tovar-y-Romo, Luis B., additional, Vahabzadeh, Arshya, additional, Vercelli, Alessandro, additional, Viera-Ortiz, Ashley, additional, Wallin, Mitchell T., additional, Werling, Donna M., additional, Wichmann, Thomas, additional, Wiley, Clayton A., additional, Williams, David R., additional, Willis, Cory, additional, Wong, Philip C., additional, Yuferov, Vadim, additional, Zhao, Weihua, additional, Zigmond, Michael J., additional, and Živković, Saša A., additional

Published
2023
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42. Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging

Author

for the ENIGMA consortium, Zhao, Yuji, Laansma, Max A., van Heese, Eva M., Owens-Walton, Conor, Parkes, Laura M., Debove, Ines, Rummel, Christian, Wiest, Roland, Cendes, Fernando, Guimaraes, Rachel, Yasuda, Clarissa Lin, Wang, Jiun-Jie, Anderson, Tim J., Dalrymple-Alford, John C., Melzer, Tracy R., Pitcher, Toni L., Schmidt, Reinhold, Schwingenschuh, Petra, Garraux, Gäetan, Rango, Mario, Squarcina, Letizia, Al-Bachari, Sarah, Emsley, Hedley C. A., Klein, Johannes C., Mackay, Clare E., Dirkx, Michiel F., Helmich, Rick, Assogna, Francesca, Piras, Fabrizio, Bright, Joanna K., Spalletta, Gianfranco, Poston, Kathleen, Lochner, Christine, McMillan, Corey T., Weintraub, Daniel, Druzgal, Jason, Newman, Benjamin, Van Den Heuvel, Odile A., Jahanshad, Neda, Thompson, Paul M., van der Werf, Ysbrand D., Gutman, Boris, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Abdulkadir, Ahmed, editor, Bathula, Deepti R., editor, Dvornek, Nicha C., editor, Habes, Mohamad, editor, Kia, Seyed Mostafa, editor, Kumar, Vinod, editor, and Wolfers, Thomas, editor

Published
2022
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43. An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group

Author

Boedhoe, Premika SW, Heymans, Martijn W, Schmaal, Lianne, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie D, Fitzgerald, Kate D, Fouche, Jean-Paul, Fridgeirsson, Egill A, Gruner, Patricia, Hanna, Gregory L, Hibar, Derrek P, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Jahanshad, Neda, James, Anthony, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kwon, Jun Soo, Lazaro, Luisa, Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Morer, Astrid, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nishida, Seiji, Nurmi, Erika L, O'Neill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, YC Janardhan, Reess, Tim J, Sakai, Yuki, Sato, Joao R, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stevens, Michael C, Szeszko, Philip R, Tolin, David F, van Wingen, Guido A, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Yun, Je-Yeon, Working-Group, ENIGMA-OCD, Thompson, Paul M, Stein, Dan J, van den Heuvel, Odile A, and Twisk, Jos WR

Subjects
Biomedical and Clinical Sciences, Information and Computing Sciences, Neurosciences, Applied Computing, Machine Learning, neuroimaging, MRI, IPD meta-analysis, mega-analysis, linear mixed-effect models, ENIGMA-OCD Working-Group, Cognitive Sciences, Applied computing, Machine learning
Abstract

Objective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data (IPD) mega-analysis can be superior to a two-stage aggregated data meta-analysis, since more detailed computations can be performed in a mega-analysis. Before definitive conclusions regarding the performance of either method can be drawn, it is necessary to critically evaluate the methodology of, and results obtained by, meta- and mega-analyses. Methods: Here, we compare the inverse variance weighted random-effect meta-analysis model with a multiple linear regression mega-analysis model, as well as with a linear mixed-effects random-intercept mega-analysis model, using data from 38 cohorts including 3,665 participants of the ENIGMA-OCD consortium. We assessed the effect sizes and standard errors, and the fit of the models, to evaluate the performance of the different methods. Results: The mega-analytical models showed lower standard errors and narrower confidence intervals than the meta-analysis. Similar standard errors and confidence intervals were found for the linear regression and linear mixed-effects random-intercept models. Moreover, the linear mixed-effects random-intercept models showed better fit indices compared to linear regression mega-analytical models. Conclusions: Our findings indicate that results obtained by meta- and mega-analysis differ, in favor of the latter. In multi-center studies with a moderate amount of variation between cohorts, a linear mixed-effects random-intercept mega-analytical framework appears to be the better approach to investigate structural neuroimaging data.

Published
2019

44. Concordance of genetic variation that increases risk for Tourette Syndrome and that influences its underlying neurocircuitry

Author

Mufford, Mary, Cheung, Josh, Jahanshad, Neda, van der Merwe, Celia, Ding, Linda, Groenewold, Nynke, Koen, Nastassja, Chimusa, Emile R, Dalvie, Shareefa, Ramesar, Raj, Knowles, James A, Lochner, Christine, Hibar, Derrek P, Paschou, Peristera, van den Heuvel, Odile A, Medland, Sarah E, Scharf, Jeremiah M, Mathews, Carol A, Thompson, Paul M, and Stein, Dan J

Subjects
Biological Psychology, Psychology, Tourette Syndrome, Neurodegenerative, Genetics, Brain Disorders, Serious Mental Illness, Mental Health, Neurosciences, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Mental health, Case-Control Studies, DNA Mutational Analysis, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Hippocampus, Humans, Linkage Disequilibrium, Magnetic Resonance Imaging, Neural Pathways, Polymorphism, Single Nucleotide, Putamen, Psychiatric Genomics Consortium - Tourette Syndrome working group, Clinical Sciences, Public Health and Health Services, Clinical sciences, Biological psychology
Abstract

There have been considerable recent advances in understanding the genetic architecture of Tourette syndrome (TS) as well as its underlying neurocircuitry. However, the mechanisms by which genetic variation that increases risk for TS-and its main symptom dimensions-influence relevant brain regions are poorly understood. Here we undertook a genome-wide investigation of the overlap between TS genetic risk and genetic influences on the volume of specific subcortical brain structures that have been implicated in TS. We obtained summary statistics for the most recent TS genome-wide association study (GWAS) from the TS Psychiatric Genomics Consortium Working Group (4644 cases and 8695 controls) and GWAS of subcortical volumes from the ENIGMA consortium (30,717 individuals). We also undertook analyses using GWAS summary statistics of key symptom factors in TS, namely social disinhibition and symmetry behaviour. SNP effect concordance analysis (SECA) was used to examine genetic pleiotropy-the same SNP affecting two traits-and concordance-the agreement in single nucelotide polymorphism (SNP) effect directions across these two traits. In addition, a conditional false discovery rate (FDR) analysis was performed, conditioning the TS risk variants on each of the seven subcortical and the intracranial brain volume GWAS. Linkage disequilibrium score regression (LDSR) was used as validation of the SECA method. SECA revealed significant pleiotropy between TS and putamen (p = 2 × 10-4) and caudate (p = 4 × 10-4) volumes, independent of direction of effect, and significant concordance between TS and lower thalamic volume (p = 1 × 10-3). LDSR lent additional support for the association between TS and thalamus volume (p = 5.85 × 10-2). Furthermore, SECA revealed significant evidence of concordance between the social disinhibition symptom dimension and lower thalamus volume (p = 1 × 10-3), as well as concordance between symmetry behaviour and greater putamen volume (p = 7 × 10-4). Conditional FDR analysis further revealed novel variants significantly associated with TS (p

Published
2019

45. Advances in problematic usage of the internet research – A narrative review by experts from the European network for problematic usage of the internet

Author

Fineberg, Naomi A., Menchón, José M., Hall, Natalie, Dell'Osso, Bernardo, Brand, Matthias, Potenza, Marc N., Chamberlain, Samuel R., Cirnigliaro, Giovanna, Lochner, Christine, Billieux, Joël, Demetrovics, Zsolt, Rumpf, Hans Jürgen, Müller, Astrid, Castro-Calvo, Jesús, Hollander, Eric, Burkauskas, Julius, Grünblatt, Edna, Walitza, Susanne, Corazza, Ornella, King, Daniel L., Stein, Dan J., Grant, Jon E., Pallanti, Stefano, Bowden-Jones, Henrietta, Ameringen, Michael Van, Ioannidis, Konstantinos, Carmi, Lior, Goudriaan, Anna E., Martinotti, Giovanni, Sales, Célia M.D., Jones, Julia, Gjoneska, Biljiana, Király, Orsolya, Benatti, Beatrice, Vismara, Matteo, Pellegrini, Luca, Conti, Dario, Cataldo, Ilaria, Riva, Gianluigi M., Yücel, Murat, Flayelle, Maèva, Hall, Thomas, Griffiths, Morgan, and Zohar, Joseph

Published
2022
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47. The role of gender in a large international OCD sample: A Report from the International College of Obsessive-Compulsive Spectrum Disorders (ICOCS) Network

Author

Benatti, Beatrice, Girone, Nicolaja, Celebre, Laura, Vismara, Matteo, Hollander, Eric, Fineberg, Naomi A., Stein, Dan J., Nicolini, Humberto, Lanzagorta, Nuria, Marazziti, Donatella, Pallanti, Stefano, van Ameringen, Michael, Lochner, Christine, Karamustafalioglu, Oguz, Hranov, Luchezar, Figee, Martin, Drummond, Lynne M., Grant, Jon E., Denys, Damiaan, Fontenelle, Leonardo F., Menchon, Jose M., Zohar, Joseph, Rodriguez, Carolyn I., and Dell'Osso, Bernardo

Published
2022
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48. The thalamus and its subnuclei—a gateway to obsessive-compulsive disorder

Author

Weeland, Cees J., Kasprzak, Selina, de Joode, Niels T., Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Balachander, Srinivas, Banaj, Nerisa, Bargallo, Nuria, Batistuzzo, Marcelo C., Benedetti, Francesco, Beucke, Jan C., Bollettini, Irene, Brecke, Vilde, Brem, Silvia, Cappi, Carolina, Cheng, Yuqi, Cho, Kang Ik K., Costa, Daniel L. C., Dallaspezia, Sara, Denys, Damiaan, Eng, Goi Khia, Ferreira, Sónia, Feusner, Jamie D., Fontaine, Martine, Fouche, Jean-Paul, Grazioplene, Rachael G., Gruner, Patricia, He, Mengxin, Hirano, Yoshiyuki, Hoexter, Marcelo Q., Huyser, Chaim, Hu, Hao, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Kim, Minah, Koch, Kathrin, Bin Kwak, Yoo, Kwon, Jun Soo, Lazaro, Luisa, Li, Chiang-shan R., Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, Jose M., Minnuzi, Luciano, Moreira, Pedro Silva, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Narayanaswamy, Janardhanan C., Nurmi, Erika L., Ortiz, Ana E., Pariente, Jose C., Piacentini, John, Picó-Pérez, Maria, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Reddy, Y. C. Janardhan, Rodriguez-Manrique, Daniela, Sakai, Yuki, Shimizu, Eiji, Shivakumar, Venkataram, Simpson, Helen Blair, Soreni, Noam, Soriano-Mas, Carles, Sousa, Nuno, Spalletta, Gianfranco, Stern, Emily R., Stevens, Michael C., Stewart, S. Evelyn, Szeszko, Philip R., Takahashi, Jumpei, Tanamatis, Tais, Tang, Jinsong, Thorsen, Anders Lillevik, Tolin, David, van der Werf, Ysbrand D., van Marle, Hein, van Wingen, Guido A., Vecchio, Daniela, Venkatasubramanian, G., Walitza, Susanne, Wang, Jicai, Wang, Zhen, Watanabe, Anri, Wolters, Lidewij H., Xu, Xiufeng, Yun, Je-Yeon, Zhao, Qing, White, Tonya, Thompson, Paul M., Stein, Dan J., van den Heuvel, Odile A., and Vriend, Chris

Published
2022
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49. Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group

Author

Boedhoe, Premika SW, Schmaal, Lianne, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie D, Fitzgerald, Kate D, Fouche, Jean-Paul, Fridgeirsson, Egill A, Gruner, Patricia, Hanna, Gregory L, Hibar, Derrek P, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Jahanshad, Neda, James, Anthony, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kwon, Jun Soo, Lazaro, Luisa, Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Morer, Astrid, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nishida, Seiji, Nurmi, Erika, O’Neill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, YC Janardhan, Reess, Tim J, Sakai, Yuki, Sato, Joao R, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stevens, Michael C, Szeszko, Philip R, Tolin, David F, van Wingen, Guido A, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Yun, Je-Yeon, Thompson, Paul M, Stein, Dan J, van den Heuvel, Odile A, Bargalló, Nuria, Brandeis, Daniel, Buimer, Elizabeth, Busatto, Geraldo F, de Vries, Froukje E, de Wit, Stella J, Drechsler, Renate, and Falini, Andrea

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Pediatric, Neurosciences, Mental Health, Serious Mental Illness, Brain Disorders, Neurological, Mental health, Adolescent, Adult, Age of Onset, Cerebral Cortex, Child, Frontal Lobe, Humans, Magnetic Resonance Imaging, Obsessive-Compulsive Disorder, Parietal Lobe, Reference Values, Temporal Lobe, Young Adult, ENIGMA-OCD Working Group, ENIGMA OCD Working Group, Cortical Thickness, FreeSurfer, MRI, Surface Area, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Clinical and health psychology
Abstract

ObjectiveBrain imaging studies of structural abnormalities in OCD have yielded inconsistent results, partly because of limited statistical power, clinical heterogeneity, and methodological differences. The authors conducted meta- and mega-analyses comprising the largest study of cortical morphometry in OCD ever undertaken.MethodT1-weighted MRI scans of 1,905 OCD patients and 1,760 healthy controls from 27 sites worldwide were processed locally using FreeSurfer to assess cortical thickness and surface area. Effect sizes for differences between patients and controls, and associations with clinical characteristics, were calculated using linear regression models controlling for age, sex, site, and intracranial volume.ResultsIn adult OCD patients versus controls, we found a significantly lower surface area for the transverse temporal cortex and a thinner inferior parietal cortex. Medicated adult OCD patients also showed thinner cortices throughout the brain. In pediatric OCD patients compared with controls, we found significantly thinner inferior and superior parietal cortices, but none of the regions analyzed showed significant differences in surface area. However, medicated pediatric OCD patients had lower surface area in frontal regions. Cohen's d effect sizes varied from -0.10 to -0.33.ConclusionsThe parietal cortex was consistently implicated in both adults and children with OCD. More widespread cortical thickness abnormalities were found in medicated adult OCD patients, and more pronounced surface area deficits (mainly in frontal regions) were found in medicated pediatric OCD patients. These cortical measures represent distinct morphological features and may be differentially affected during different stages of development and illness, and possibly moderated by disease profile and medication.

Published
2018

50. An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group.

Author

Boedhoe, Premika, Heymans, Martijn, Schmaal, Lianne, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie, Anticevic, Alan, Arnold, Paul, Batistuzzo, Marcelo, Benedetti, Francesco, Beucke, Jan, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Calvo, Rosa, Cheng, Yuqi, Cho, Kang, Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie, Fitzgerald, Kate, Fouche, Jean-Paul, Fridgeirsson, Egill, Gruner, Patricia, Hanna, Gregory, Hibar, Derrek, Hoexter, Marcelo, Hu, Hao, Huyser, Chaim, Jahanshad, Neda, James, Anthony, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kwon, Jun, Lazaro, Luisa, Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José, Minuzzi, Luciano, Morer, Astrid, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan, Nishida, Seiji, Nurmi, Erika, Oneill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, Y, Reess, Tim, Sakai, Yuki, Sato, Joao, Simpson, H, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stevens, Michael, Szeszko, Philip, Tolin, David, van Wingen, Guido, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Yun, Je-Yeon, Thompson, Paul, Stein, Dan, van den Heuvel, Odile, and Twisk, Jos

Subjects
IPD meta-analysis, MRI, linear mixed-effect models, mega-analysis, neuroimaging
Abstract

Objective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data (IPD) mega-analysis can be superior to a two-stage aggregated data meta-analysis, since more detailed computations can be performed in a mega-analysis. Before definitive conclusions regarding the performance of either method can be drawn, it is necessary to critically evaluate the methodology of, and results obtained by, meta- and mega-analyses. Methods: Here, we compare the inverse variance weighted random-effect meta-analysis model with a multiple linear regression mega-analysis model, as well as with a linear mixed-effects random-intercept mega-analysis model, using data from 38 cohorts including 3,665 participants of the ENIGMA-OCD consortium. We assessed the effect sizes and standard errors, and the fit of the models, to evaluate the performance of the different methods. Results: The mega-analytical models showed lower standard errors and narrower confidence intervals than the meta-analysis. Similar standard errors and confidence intervals were found for the linear regression and linear mixed-effects random-intercept models. Moreover, the linear mixed-effects random-intercept models showed better fit indices compared to linear regression mega-analytical models. Conclusions: Our findings indicate that results obtained by meta- and mega-analysis differ, in favor of the latter. In multi-center studies with a moderate amount of variation between cohorts, a linear mixed-effects random-intercept mega-analytical framework appears to be the better approach to investigate structural neuroimaging data.

Published
2018

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