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1. Atypical Semantic Fluency and Recall in Children and Adolescents with Autism Spectrum Disorders Associated with Autism Symptoms and Adaptive Functioning

Author

Foldager, Malene, Vestergaard, Martin, Lassen, Jonathan, Petersen, Lea S., Oranje, Bob, Aggernaes, Bodil, and Simonsen, Erik

Abstract

It is unclear whether children with autism spectrum disorders have atypical semantic fluency and lower memory for the semantics of words. Therefore, we examined semantic typicality, fluency and recall for the categories of fruits and animals in 60 children with autism aged 7-15 years (boys: 48/girls: 12) compared to 60 typically developing controls. Relative to controls, the autism group had reduced animal fluency, fruit typicality and recall for fruits. Notably, these measures were associated with more autistic-like symptoms and/or lower adaptive functioning across the autism and control groups. In conclusion, atypical semantics of fruits in the autism group may reflect development of idiosyncratic semantic networks while their lower semantic fluency and recall suggest impaired executive language functions.

Published
2023
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3. The Contribution of Executive Functions in Predicting Mathematical Creativity in Typical Elementary School Classes: A Twofold Role for Updating

Author

Stolte, Marije, García, Trinidad, Van Luit, Johannes E. H., Oranje, Bob, and Kroesbergen, Evelyn H.

Abstract

The goal of the current study was to investigate the role of executive functions in mathematical creativity. The sample included 278 primary school children (ages 8-13). Two models were compared: the starting model tested whether executive functions (shifting, updating, and inhibition), domain-general creativity, and mathematical ability directly predicted mathematical creativity. The second model, which fitted the data best, included the additional assumption that updating influences mathematical creativity indirectly through mathematical ability and domain-general creativity. Updating was positively related to mathematical creativity. Additionally, updating was positively related to mathematical ability and domain-general creativity. Inhibition, shifting, domain-general creativity and mathematical ability did not have a significant contribution to either model but did positively correlate with mathematical creativity. This study reports the first empirical evidence that updating is a predictor of mathematical creativity in primary school children and demonstrates that creativity is a higher order cognitive process, activating a variety of cognitive abilities.

Published
2020

6. Analysis of structural brain asymmetries in attention‐deficit/hyperactivity disorder in 39 datasets

Author

Postema, Merel C, Hoogman, Martine, Ambrosino, Sara, Asherson, Philip, Banaschewski, Tobias, Bandeira, Cibele E, Baranov, Alexandr, Bau, Claiton HD, Baumeister, Sarah, Baur‐Streubel, Ramona, Bellgrove, Mark A, Biederman, Joseph, Bralten, Janita, Brandeis, Daniel, Brem, Silvia, Buitelaar, Jan K, Busatto, Geraldo F, Castellanos, Francisco X, Cercignani, Mara, Chaim‐Avancini, Tiffany M, Chantiluke, Kaylita C, Christakou, Anastasia, Coghill, David, Conzelmann, Annette, Cubillo, Ana I, Cupertino, Renata B, de Zeeuw, Patrick, Doyle, Alysa E, Durston, Sarah, Earl, Eric A, Epstein, Jeffery N, Ethofer, Thomas, Fair, Damien A, Fallgatter, Andreas J, Faraone, Stephen V, Frodl, Thomas, Gabel, Matt C, Gogberashvili, Tinatin, Grevet, Eugenio H, Haavik, Jan, Harrison, Neil A, Hartman, Catharina A, Heslenfeld, Dirk J, Hoekstra, Pieter J, Hohmann, Sarah, Høvik, Marie F, Jernigan, Terry L, Kardatzki, Bernd, Karkashadze, Georgii, Kelly, Clare, Kohls, Gregor, Konrad, Kerstin, Kuntsi, Jonna, Lazaro, Luisa, Lera‐Miguel, Sara, Lesch, Klaus‐Peter, Louza, Mario R, Lundervold, Astri J, Malpas, Charles B, Mattos, Paulo, McCarthy, Hazel, Namazova‐Baranova, Leyla, Nicolau, Rosa, Nigg, Joel T, Novotny, Stephanie E, Weiss, Eileen Oberwelland, Tuura, Ruth L O'Gorman, Oosterlaan, Jaap, Oranje, Bob, Paloyelis, Yannis, Pauli, Paul, Picon, Felipe A, Plessen, Kerstin J, Ramos‐Quiroga, J Antoni, Reif, Andreas, Reneman, Liesbeth, Rosa, Pedro GP, Rubia, Katya, Schrantee, Anouk, Schweren, Lizanne JS, Seitz, Jochen, Shaw, Philip, Silk, Tim J, Skokauskas, Norbert, Vila, Juan C Soliva, Stevens, Michael C, Sudre, Gustavo, Tamm, Leanne, Tovar‐Moll, Fernanda, van Erp, Theo GM, Vance, Alasdair, Vilarroya, Oscar, Vives‐Gilabert, Yolanda, von Polier, Georg G, Walitza, Susanne, Yoncheva, Yuliya N, Zanetti, Marcus V, Ziegler, Georg C, Glahn, David C, and Jahanshad, Neda

Subjects
Biological Psychology, Psychology, Pediatric, Brain Disorders, Mental Health, Neurosciences, Attention Deficit Hyperactivity Disorder (ADHD), Pediatric Research Initiative, Aetiology, 2.1 Biological and endogenous factors, Mental health, Adolescent, Adult, Attention Deficit Disorder with Hyperactivity, Autism Spectrum Disorder, Brain, Caudate Nucleus, Child, Humans, Magnetic Resonance Imaging, Attention&#8208, deficit, hyperactivity disorder, brain asymmetry, brain laterality, structural MRI, large&#8208, scale data, ENIGMA ADHD Working Group, Attention-deficit, large-scale data, Clinical Sciences, Cognitive Sciences, Developmental & Child Psychology, Clinical sciences, Applied and developmental psychology, Clinical and health psychology
Abstract

ObjectiveSome studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium.MethodsWe analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries.ResultsThere was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen's d from -0.18 to 0.18) and would not survive study-wide correction for multiple testing.ConclusionPrior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait.

Published
2021

7. Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes

Author

Li, Ting, van Rooij, Daan, Mota, Nina Roth, Buitelaar, Jan K, Ambrosino, Sara, Banaschewski, Tobias, Bandeira, Cibele E, Bau, Claiton HD, Baumeister, Sarah, Baur‐Streubel, Ramona, Bellgrove, Mark A, Biederman, Joseph, Bralten, Janita, Bramati, Ivanei E, Brandeis, Daniel, Berm, Silvia, Busatto, Geraldo F, Calvo, Anna, Castellanos, Francisco X, Cercignani, Mara, Chantiluke, Kaylita C, Christakou, Anastasia, Coghill, David, Conzelmann, Annette, Cubillo, Ana I, Cupertino, Renata B, de Zeeuw, Parick, Durston, Sarah, Earl, Eric A, Epstein, Jeffery N, Ethofer, Thomas, Fallgatter, Andreas J, Fair, Damien A, Faraone, Stephen V, Frodl, Thomas, Gabel, Matt C, Gogberashvili, Tinatin, Grevet, Eugenio H, Haavik, Jan, Harrison, Neil A, Hartman, Catharina A, Heslenfeld, Dirk J, Hoekstra, Pieter J, Høvik, Marie F, Jahanshad, Neda, Kardatzki, Bernd, Karkashadze, Georgii, Kelly, Clare, Kohls, Gregor, Konrad, Kerstin, Kuntsi, Jonna, Lazaro, Luisa, Lera‐Miguel, Sara, Lesch, Klaus‐Peter, Louza, Mario R, Lundervold, Astri J, Malpas, Charles B, Mattos, Paulo, McCarthy, Hazel, Nicolau, Rosa, Nigg, Joel T, Tuura, Ruth L O'Gorman, Oosterlaan, Jaap, Oranje, Bob, Paloyelis, Yannis, Pauli, Paul, Picon, Felipe A, Plessen, Kerstin J, Ramos‐Quiroga, J Antoni, Reif, Andreas, Reneman, Liesbeth, Rosa, Pedro GP, Rubia, Katya, Schrantee, Anouk, Schweren, Lizanne JS, Seitz, Jochen, Shaw, Philip, Silk, Tim J, Skokauskas, Norbert, Vila, Juan Carlos Soliva, Soloveva, Anastasiia, Stevens, Michael C, Sudre, Gustavo, Tamm, Leanne, Thompson, Paul M, Tovar‐Moll, Fernanda, van Erp, Theo GM, Vance, Alasdair, Vilarroya, Oscar, Vives‐Gilabert, Yolanda, von Polier, Georg G, Walitza, Susanne, Yoncheva, Yuliya N, Zanetti, Marcus V, Ziegler, Georg C, Anikin, Anatoly, Asherson, Philip, Baranov, Alexandr, Chaim‐Avanicini, Tiffany, and Dale, Anders M

Subjects
Biological Psychology, Psychology, Mental Health, Pediatric, Brain Disorders, Attention Deficit Hyperactivity Disorder (ADHD), Clinical Research, Neurosciences, Adult, Attention Deficit Disorder with Hyperactivity, Brain, Case-Control Studies, Female, Humans, Magnetic Resonance Imaging, Male, Thalamus, ADHD, subcortical volume, neuroanatomic heterogeneity, community detection, effect sizes, ENIGMA ADHD Working Group, Clinical Sciences, Cognitive Sciences, Developmental & Child Psychology, Clinical sciences, Applied and developmental psychology, Clinical and health psychology
Abstract

BackgroundAttention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder. Neuroanatomic heterogeneity limits our understanding of ADHD's etiology. This study aimed to parse heterogeneity of ADHD and to determine whether patient subgroups could be discerned based on subcortical brain volumes.MethodsUsing the large ENIGMA-ADHD Working Group dataset, four subsamples of 993 boys with and without ADHD and to subsamples of 653 adult men, 400 girls, and 447 women were included in analyses. We applied exploratory factor analysis (EFA) to seven subcortical volumes in order to constrain the complexity of the input variables and ensure more stable clustering results. Factor scores derived from the EFA were used to build networks. A community detection (CD) algorithm clustered participants into subgroups based on the networks.ResultsExploratory factor analysis revealed three factors (basal ganglia, limbic system, and thalamus) in boys and men with and without ADHD. Factor structures for girls and women differed from those in males. Given sample size considerations, we concentrated subsequent analyses on males. Male participants could be separated into four communities, of which one was absent in healthy men. Significant case-control differences of subcortical volumes were observed within communities in boys, often with stronger effect sizes compared to the entire sample. As in the entire sample, none were observed in men. Affected men in two of the communities presented comorbidities more frequently than those in other communities. There were no significant differences in ADHD symptom severity, IQ, and medication use between communities in either boys or men.ConclusionsOur results indicate that neuroanatomic heterogeneity in subcortical volumes exists, irrespective of ADHD diagnosis. Effect sizes of case-control differences appear more pronounced at least in some of the subgroups.

Published
2021

8. Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder

Author

Ahmad, Jumana, Ambrosino, Sara, Auyeung, Bonnie, Banaschewski, Tobias, Baron-Cohen, Simon, Baumeister, Sarah, Beckmann, Christian F., Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brandeis, Daniel, Brogna, Claudia, de Bruijn, Yvette, Buitelaar, Jan K., Chakrabarti, Bhismadev, Charman, Tony, Cornelissen, Ineke, Crawley, Daisy, Dell’Acqua, Flavio, Dumas, Guillaume, Durston, Sarah, Ecker, Christine, Faulkner, Jessica, Frouin, Vincent, Garcés, Pilar, Goyard, David, Ham, Lindsay, Hayward, Hannah, Hipp, Joerg, Holt, Rosemary, Johnson, Mark H., Jones, Emily J.H., Kundu, Prantik, Lai, Meng-Chuan, D’ardhuy, Xavier Liogier, Lombardo, Michael V., Loth, Eva, Lythgoe, David J., Mandl, René, Marquand, Andre, Mason, Luke, Mennes, Maarten, Meyer-Lindenberg, Andreas, Moessnang, Carolin, Bast, Nico, Murphy, Declan G.M., Oakley, Bethany, O’Dwyer, Laurence, Oldehinkel, Marianne, Oranje, Bob, Pandina, Gahan, Persico, Antonio M., Ruggeri, Barbara, Ruigrok, Amber, Sabet, Jessica, Sacco, Roberto, San José Cáceres, Antonia, Simonoff, Emily, Spooren, Will, Tillmann, Julian, Toro, Roberto, Tost, Heike, Waldman, Jack, Williams, Steve C.R., Wooldridge, Caroline, Zwiers, Marcel P., Leyhausen, Johanna, Schäfer, Tim, Gurr, Caroline, Berg, Lisa M., Seelemeyer, Hanna, Pretzsch, Charlotte M., Floris, Dorothea L., Chatham, Chris, and Murphy, Declan G.

Published
2024
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10. Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology

Author

Buitelaar, Jan K., Ahmad, Jumana, Ambrosino, Sara, Auyeung, Bonnie, Banaschewski, Tobias, Baron-Cohen, Simon, Baumeister, Sarah, Beckmann, Christian F., Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brandeis, Daniel, Brogna, Claudia, de Bruijn, Yvette, Chakrabarti, Bhismadev, Charman, Tony, Cornelissen, Ineke, Crawley, Daisy, Dell’Acqua, Flavio, Dumas, Guillaume, Durston, Sarah, Ecker, Christine, Faulkner, Jessica, Frouin, Vincent, Garcés, Pilar, Goyard, David, Ham, Lindsay, Hayward, Hannah, Hipp, Joerg, Holt, Rosemary, Johnson, Mark H., Jones, Emily J.H., Kundu, Prantik, Lai, Meng-Chuan, Liogier d’Ardhuy, Xavier, Lombardo, Michael V., Loth, Eva, Lythgoe, David J., Mandl, René, Marquand, Andre, Mason, Luke, Mennes, Maarten, Meyer-Lindenberg, Andreas, Moessnang, Carolin, Mueller, Nico, Murphy, Declan G.M., Oakley, Bethany, O’Dwyer, Laurence, Oldehinkel, Marianne, Oranje, Bob, Pandina, Gahan, Persico, Antonio M., Rausch, Annika, Ruggeri, Barbara, Ruigrok, Amber, Sabet, Jessica, Sacco, Roberto, San José Cáceres, Antonia, Simonoff, Emily, Spooren, Will, Tillmann, Julian, Toro, Roberto, Tost, Heike, Waldman, Jack, Williams, Steve C.R., Wooldridge, Caroline, Ilioska, Iva, Mei, Ting, Zwiers, Marcel P., Forde, Natalie J., Floris, Dorothea L., Stones, Richard, Holt, Rosemary J., and Llera, Alberto

Published
2023
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12. Prediction of Behavioral Improvement Through Resting-State Electroencephalography and Clinical Severity in a Randomized Controlled Trial Testing Bumetanide in Autism Spectrum Disorder

Author

Juarez-Martinez, Erika L., Sprengers, Jan J., Cristian, Gianina, Oranje, Bob, van Andel, Dorinde M., Avramiea, Arthur-Ervin, Simpraga, Sonja, Houtman, Simon J., Hardstone, Richard, Gerver, Cathalijn, Jan van der Wilt, Gert, Mansvelder, Huibert D., Eijkemans, Marinus J.C., Linkenkaer-Hansen, Klaus, and Bruining, Hilgo

Published
2023
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13. Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples

Author

Hoogman, Martine, Muetzel, Ryan, Guimaraes, Joao P, Shumskaya, Elena, Mennes, Maarten, Zwiers, Marcel P, Jahanshad, Neda, Sudre, Gustavo, Wolfers, Thomas, Earl, Eric A, Soliva Vila, Juan Carlos, Vives-Gilabert, Yolanda, Khadka, Sabin, Novotny, Stephanie E, Hartman, Catharina A, Heslenfeld, Dirk J, Schweren, Lizanne JS, Ambrosino, Sara, Oranje, Bob, de Zeeuw, Patrick, Chaim-Avancini, Tiffany M, Rosa, Pedro GP, Zanetti, Marcus V, Malpas, Charles B, Kohls, Gregor, von Polier, Georg G, Seitz, Jochen, Biederman, Joseph, Doyle, Alysa E, Dale, Anders M, van Erp, Theo GM, Epstein, Jeffery N, Jernigan, Terry L, Baur-Streubel, Ramona, Ziegler, Georg C, Zierhut, Kathrin C, Schrantee, Anouk, Høvik, Marie F, Lundervold, Astri J, Kelly, Clare, McCarthy, Hazel, Skokauskas, Norbert, O’Gorman Tuura, Ruth L, Calvo, Anna, Lera-Miguel, Sara, Nicolau, Rosa, Chantiluke, Kaylita C, Christakou, Anastasia, Vance, Alasdair, Cercignani, Mara, Gabel, Matt C, Asherson, Philip, Baumeister, Sarah, Brandeis, Daniel, Hohmann, Sarah, Bramati, Ivanei E, Tovar-Moll, Fernanda, Fallgatter, Andreas J, Kardatzki, Bernd, Schwarz, Lena, Anikin, Anatoly, Baranov, Alexandr, Gogberashvili, Tinatin, Kapilushniy, Dmitry, Solovieva, Anastasia, El Marroun, Hanan, White, Tonya, Karkashadze, Georgii, Namazova-Baranova, Leyla, Ethofer, Thomas, Mattos, Paulo, Banaschewski, Tobias, Coghill, David, Plessen, Kerstin J, Kuntsi, Jonna, Mehta, Mitul A, Paloyelis, Yannis, Harrison, Neil A, Bellgrove, Mark A, Silk, Tim J, Cubillo, Ana I, Rubia, Katya, Lazaro, Luisa, Brem, Silvia, Walitza, Susanne, Frodl, Thomas, Zentis, Mariam, Castellanos, Francisco X, Yoncheva, Yuliya N, Haavik, Jan, Reneman, Liesbeth, Conzelmann, Annette, Lesch, Klaus-Peter, Pauli, Paul, Reif, Andreas, Tamm, Leanne, Konrad, Kerstin, Oberwelland Weiss, Eileen, Busatto, Geraldo F, and Louza, Mario R

Subjects
Pediatric, Neurosciences, Mental Health, Attention Deficit Hyperactivity Disorder (ADHD), Behavioral and Social Science, Clinical Research, Brain Disorders, Pediatric Research Initiative, Aetiology, 2.1 Biological and endogenous factors, Mental health, Adolescent, Adult, Age Factors, Attention Deficit Disorder with Hyperactivity, Case-Control Studies, Cerebral Cortex, Child, Child, Preschool, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuroimaging, Psychiatric Status Rating Scales, Sex Factors, Young Adult, Attention Deficit Hyperactivity Disorder, Cortical Surface Area, Cortical Thickness, Imaging, Meta-Analysis, Neuroanatomy, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveNeuroimaging studies show structural alterations of various brain regions in children and adults with attention deficit hyperactivity disorder (ADHD), although nonreplications are frequent. The authors sought to identify cortical characteristics related to ADHD using large-scale studies.MethodsCortical thickness and surface area (based on the Desikan-Killiany atlas) were compared between case subjects with ADHD (N=2,246) and control subjects (N=1,934) for children, adolescents, and adults separately in ENIGMA-ADHD, a consortium of 36 centers. To assess familial effects on cortical measures, case subjects, unaffected siblings, and control subjects in the NeuroIMAGE study (N=506) were compared. Associations of the attention scale from the Child Behavior Checklist with cortical measures were determined in a pediatric population sample (Generation-R, N=2,707).ResultsIn the ENIGMA-ADHD sample, lower surface area values were found in children with ADHD, mainly in frontal, cingulate, and temporal regions; the largest significant effect was for total surface area (Cohen's d=-0.21). Fusiform gyrus and temporal pole cortical thickness was also lower in children with ADHD. Neither surface area nor thickness differences were found in the adolescent or adult groups. Familial effects were seen for surface area in several regions. In an overlapping set of regions, surface area, but not thickness, was associated with attention problems in the Generation-R sample.ConclusionsSubtle differences in cortical surface area are widespread in children but not adolescents and adults with ADHD, confirming involvement of the frontal cortex and highlighting regions deserving further attention. Notably, the alterations behave like endophenotypes in families and are linked to ADHD symptoms in the population, extending evidence that ADHD behaves as a continuous trait in the population. Future longitudinal studies should clarify individual lifespan trajectories that lead to nonsignificant findings in adolescent and adult groups despite the presence of an ADHD diagnosis.

Published
2019

14. 10Kin1day: A Bottom-Up Neuroimaging Initiative

Author

van den Heuvel, Martijn P, Scholtens, Lianne H, van der Burgh, Hannelore K, Agosta, Federica, Alloza, Clara, Arango, Celso, Auyeung, Bonnie, Baron-Cohen, Simon, Basaia, Silvia, Benders, Manon JNL, Beyer, Frauke, Booij, Linda, Braun, Kees PJ, Filho, Geraldo Busatto, Cahn, Wiepke, Cannon, Dara M, Chaim-Avancini, Tiffany M, Chan, Sandra SM, Chen, Eric YH, Crespo-Facorro, Benedicto, Crone, Eveline A, Dannlowski, Udo, de Zwarte, Sonja MC, Dietsche, Bruno, Donohoe, Gary, Du Plessis, Stefan, Durston, Sarah, Díaz-Caneja, Covadonga M, Díaz-Zuluaga, Ana M, Emsley, Robin, Filippi, Massimo, Frodl, Thomas, Gorges, Martin, Graff, Beata, Grotegerd, Dominik, Gąsecki, Dariusz, Hall, Julie M, Holleran, Laurena, Holt, Rosemary, Hopman, Helene J, Jansen, Andreas, Janssen, Joost, Jodzio, Krzysztof, Jäncke, Lutz, Kaleda, Vasiliy G, Kassubek, Jan, Masouleh, Shahrzad Kharabian, Kircher, Tilo, Koevoets, Martijn GJC, Kostic, Vladimir S, Krug, Axel, Lawrie, Stephen M, Lebedeva, Irina S, Lee, Edwin HM, Lett, Tristram A, Lewis, Simon JG, Liem, Franziskus, Lombardo, Michael V, Lopez-Jaramillo, Carlos, Margulies, Daniel S, Markett, Sebastian, Marques, Paulo, Martínez-Zalacaín, Ignacio, McDonald, Colm, McIntosh, Andrew M, McPhilemy, Genevieve, Meinert, Susanne L, Menchón, José M, Montag, Christian, Moreira, Pedro S, Morgado, Pedro, Mothersill, David O, Mérillat, Susan, Müller, Hans-Peter, Nabulsi, Leila, Najt, Pablo, Narkiewicz, Krzysztof, Naumczyk, Patrycja, Oranje, Bob, de la Foz, Victor Ortiz-Garcia, Peper, Jiska S, Pineda, Julian A, Rasser, Paul E, Redlich, Ronny, Repple, Jonathan, Reuter, Martin, Rosa, Pedro GP, Ruigrok, Amber NV, Sabisz, Agnieszka, Schall, Ulrich, Seedat, Soraya, Serpa, Mauricio H, Skouras, Stavros, Soriano-Mas, Carles, Sousa, Nuno, Szurowska, Edyta, Tomyshev, Alexander S, Tordesillas-Gutierrez, Diana, Valk, Sofie L, and van den Berg, Leonard H

Subjects
Biological Psychology, Psychology, Biomedical Imaging, Brain Disorders, Neurosciences, Neurological, MRI, connectome analysis, diffusion weighted MRI, brain, network, Clinical Sciences, Clinical sciences, Biological psychology
Abstract

We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain.

Published
2019

18. Subtly altered topological asymmetry of brain structural covariance networks in autism spectrum disorder across 43 datasets from the ENIGMA consortium

Author

Sha, Zhiqiang, van Rooij, Daan, Anagnostou, Evdokia, Arango, Celso, Auzias, Guillaume, Behrmann, Marlene, Bernhardt, Boris, Bolte, Sven, Busatto, Geraldo F., Calderoni, Sara, Calvo, Rosa, Daly, Eileen, Deruelle, Christine, Duan, Meiyu, Duran, Fabio Luis Souza, Durston, Sarah, Ecker, Christine, Ehrlich, Stefan, Fair, Damien, Fedor, Jennifer, Fitzgerald, Jacqueline, Floris, Dorothea L., Franke, Barbara, Freitag, Christine M., Gallagher, Louise, Glahn, David C., Haar, Shlomi, Hoekstra, Liesbeth, Jahanshad, Neda, Jalbrzikowski, Maria, Janssen, Joost, King, Joseph A., Lazaro, Luisa, Luna, Beatriz, McGrath, Jane, Medland, Sarah E., Muratori, Filippo, Murphy, Declan G. M., Neufeld, Janina, O’Hearn, Kirsten, Oranje, Bob, Parellada, Mara, Pariente, Jose C., Postema, Merel C., Remnelius, Karl Lundin, Retico, Alessandra, Rosa, Pedro Gomes Penteado, Rubia, Katya, Shook, Devon, Tammimies, Kristiina, Taylor, Margot J., Tosetti, Michela, Wallace, Gregory L., Zhou, Fengfeng, Thompson, Paul M., Fisher, Simon E., Buitelaar, Jan K., and Francks, Clyde

Published
2022
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19. Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis

Author

Garcés, Pilar, Baumeister, Sarah, Mason, Luke, Chatham, Christopher H., Holiga, Stefan, Dukart, Juergen, Jones, Emily J. H., Banaschewski, Tobias, Baron-Cohen, Simon, Bölte, Sven, Buitelaar, Jan K., Durston, Sarah, Oranje, Bob, Persico, Antonio M., Beckmann, Christian F., Bougeron, Thomas, Dell’Acqua, Flavio, Ecker, Christine, Moessnang, Carolin, Charman, Tony, Tillmann, Julian, Murphy, Declan G. M., Johnson, Mark, Loth, Eva, Brandeis, Daniel, and Hipp, Joerg F.

Published
2022
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20. In-depth characterization of neuroradiological findings in a large sample of individuals with autism spectrum disorder and controls

Author

Ambrosino, Sara, Elbendary, Hasnaa, Lequin, Maarten, Rijkelijkhuizen, Dominique, Banaschewski, Tobias, Baron-Cohen, Simon, Bast, Nico, Baumeister, Sarah, Buitelaar, Jan, Charman, Tony, Crawley, Daisy, Dell'Acqua, Flavio, Hayward, Hannah, Holt, Rosemary, Moessnang, Carolin, Persico, Antonio M., Sacco, Roberto, San José Cáceres, Antonia, Tillmann, Julian, Loth, Eva, Ecker, Christine, Oranje, Bob, Murphy, Declan, and Durston, Sarah

Published
2022
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21. A multisample study of longitudinal changes in brain network architecture in 4–13‐year‐old children

Author

Wierenga, Lara M, van den Heuvel, Martijn P, Oranje, Bob, Giedd, Jay N, Durston, Sarah, Peper, Jiska S, Brown, Timothy T, Crone, Eveline A, and The Pediatric Longitudinal Imaging, Neurocognition

Subjects
Paediatrics, Biomedical and Clinical Sciences, Biomedical Imaging, Brain Disorders, Pediatric, Neurosciences, Clinical Research, Adolescent, Brain, Child, Child, Preschool, Connectome, Diffusion Magnetic Resonance Imaging, Female, Humans, Longitudinal Studies, Male, Neural Pathways, brain development, DWI, graph theory, MRI, brain network, The Pediatric Longitudinal Imaging, Neurocognition, and Genetics Study, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

Recent advances in human neuroimaging research have revealed that white-matter connectivity can be described in terms of an integrated network, which is the basis of the human connectome. However, the developmental changes of this connectome in childhood are not well understood. This study made use of two independent longitudinal diffusion-weighted imaging data sets to characterize developmental changes in the connectome by estimating age-related changes in fractional anisotropy (FA) for reconstructed fibers (edges) between 68 cortical regions. The first sample included 237 diffusion-weighted scans of 146 typically developing children (4-13 years old, 74 females) derived from the Pediatric Longitudinal Imaging, Neurocognition, and Genetics (PLING) study. The second sample included 141 scans of 97 individuals (8-13 years old, 62 females) derived from the BrainTime project. In both data sets, we compared edges that had the most substantial age-related change in FA to edges that showed little change in FA. This allowed us to investigate if developmental changes in white matter reorganize network topology. We observed substantial increases in edges connecting peripheral and a set of highly connected hub regions, referred to as the rich club. Together with the observed topological differences between regions connecting to edges showing the smallest and largest changes in FA, this indicates that changes in white matter affect network organization, such that highly connected regions become even more strongly imbedded in the network. These findings suggest that an important process in brain development involves organizing patterns of inter-regional interactions. Hum Brain Mapp 39:157-170, 2018. © 2017 Wiley Periodicals, Inc.

Published
2018

22. Temporal Profiles of Social Attention Are Different Across Development in Autistic and Neurotypical People

Author

Ahmad, Jumana, Ambrosino, Sara, Banaschewski, Tobias, Baron-Cohen, Simon, Baumeister, Sarah, Beckmann, Christian F., Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brandeis, Daniel, Brogna, Claudia, de Bruijn, Yvette, Cornelissen, Ineke, Crawley, Daisy, Dell’Acqua, Flavio, Dumas, Guillaume, Durston, Sarah, Ecker, Christine, Faulkner, Jessica, Frouin, Vincent, Garcés, Pilar, Goyard, David, Ham, Lindsay, Hipp, Joerg, Holt, Rosemary, Lai, Meng-Chuan, D’Ardhuy, Xavier Liogier, Lombardo, Michael V., Lythgoe, David J., Mandl, René, Marquand, Andre, Mennes, Maarten, Meyer-Lindenberg, Andreas, Moessnang, Carolin, Mueller, Nico, Murphy, Declan G.M., Oakley, Bethany, O’Dwyer, Laurence, Oldehinkel, Marianne, Oranje, Bob, Pandina, Gahan, Persico, Antonio M., Ruggeri, Barbara, Ruigrok, Amber, Sabet, Jessica, Sacco, Roberto, San José Cáceres, Antonia, Simonoff, Emily, Spooren, Will, Toro, Roberto, Tost, Heike, Waldman, Jack, Williams, Steve C.R., Wooldridge, Caroline, Zwiers, Marcel P., Del Bianco, Teresa, Mason, Luke, Charman, Tony, Tillman, Julian, Loth, Eva, Hayward, Hannah, Shic, Frederick, Buitelaar, Jan, Johnson, Mark H., and Jones, Emily J.H.

Published
2021
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23. Atypical Brain Asymmetry in Autism—A Candidate for Clinically Meaningful Stratification

Author

Ahmad, Jumana, Ambrosino, Sara, Auyeung, Bonnie, Banaschewski, Tobias, Baron-Cohen, Simon, Baumeister, Sarah, Beckmann, Christian F., Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brandeis, Daniel, Brogna, Claudia, de Bruijn, Yvette, Buitelaar, Jan K., Chakrabarti, Bhismadev, Charman, Tony, Cornelissen, Ineke, Crawley, Daisy, Dell’Acqua, Flavio, Dumas, Guillaume, Durston, Sarah, Ecker, Christine, Faulkner, Jessica, Frouin, Vincent, Garcés, Pilar, Goyard, David, Ham, Lindsay, Hayward, Hannah, Hipp, Joerg, Holt, Rosemary, Johnson, Mark H., Jones, Emily J.H., Kundu, Prantik, Lai, Meng-Chuan, Liogier d’Ardhuy, Xavier, Lombardo, Michael V., Loth, Eva, Lythgoe, David J., Mandl, René, Marquand, Andre, Mason, Luke, Mennes, Maarten, Meyer-Lindenberg, Andreas, Moessnang, Carolin, Mueller, Nico, Murphy, Declan G.M., Oakley, Bethany, O’Dwyer, Laurence, Oldehinkel, Marianne, Oranje, Bob, Pandina, Gahan, Persico, Antonio M., Ruggeri, Barbara, Ruigrok, Amber, Sabet, Jessica, Sacco, Roberto, San José Cáceres, Antonia, Simonoff, Emily, Spooren, Will, Tillmann, Julian, Toro, Roberto, Tost, Heike, Waldman, Jack, Williams, Steve C.R., Wooldridge, Caroline, Zwiers, Marcel P., Floris, Dorothea L., Wolfers, Thomas, Zabihi, Mariam, and Holz, Nathalie E.

Published
2021
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27. Two sides of the same coin? How are neural mechanisms of cognitive control, attentional difficulties and creativity related?

Author

Hafd Onderwijsadvies en training, Leerstoel Haan, Education and Learning: Cognitive and Motor Disabilities, Stolte, Marije, Kroesbergen, Evelyn H., Van Luit, Johannes E.H., Oranje, Bob, Hafd Onderwijsadvies en training, Leerstoel Haan, Education and Learning: Cognitive and Motor Disabilities, Stolte, Marije, Kroesbergen, Evelyn H., Van Luit, Johannes E.H., and Oranje, Bob

Published
2024

28. Robust single-trial event-related potentials differentiate between distress and fear disorders

Author

Randau, Martin, Reinholt, Nina, Pernet, Cyril, Oranje, Bob, Rasmussen, Belinda S., Arnfred, Sidse, Randau, Martin, Reinholt, Nina, Pernet, Cyril, Oranje, Bob, Rasmussen, Belinda S., and Arnfred, Sidse

Abstract

Recent evidence indicates that measures of brain functioning as indexed by event-related potentials (ERPs) on the electroencephalogram align more closely to transdiagnostic measures of psychopathology than to categorical taxonomies. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a transdiagnostic, dimensional framework aiming to solve issues of comorbidity, symptom heterogeneity, and arbitrary diagnostic boundaries. Based on shared features, the emotional disorders are allocated into subfactors Distress and Fear. Evidence indicates that disorders that are close in the HiTOP hierarchy share etiology, symptom profiles, and treatment outcomes. However, further studies testing the biological underpinnings of the HiTOP are called for. In this study, we assessed differences between Distress and Fear in a range of well-studied ERP components. In total, 50 patients with emotional disorders were divided into two groups (Distress, N = 25; Fear, N = 25) according to HiTOP criteria and compared against 37 healthy comparison (HC) subjects. Addressing issues in traditional ERP preprocessing and analysis methods, we applied robust single-trial analysis as implemented in the EEGLAB toolbox LIMO EEG. Several ERP components were found to differ between the groups. Surprisingly, we found no difference between Fear and HC for any of the ERPs. This suggests that some well-established results from the literature, e.g., increased error-related negativity in OCD, are not a shared neurobiological correlate of the Fear subfactor. Conversely, for Distress, we found reductions compared to Fear and HC in several ERP components across paradigms. Future studies could utilize HiTOP-validated psychopathology measures to more precisely define subfactor groups.

Published
2024

29. Transdiagnostic psychopathology in the light of robust single‐trial event‐related potentials.

Author

Randau, Martin, Bach, Bo, Reinholt, Nina, Pernet, Cyril, Oranje, Bob, Rasmussen, Belinda S., and Arnfred, Sidse

Subjects
EVOKED potentials (Electrophysiology), PATHOLOGICAL psychology, INTERNALIZING behavior, PERSONALITY, GROUP psychotherapy, MACHINE learning
Abstract

Recent evidence indicates that event‐related potentials (ERPs) as measured on the electroencephalogram (EEG) are more closely related to transdiagnostic, dimensional measures of psychopathology (TDP) than to diagnostic categories. A comprehensive examination of correlations between well‐studied ERPs and measures of TDP is called for. In this study, we recruited 50 patients with emotional disorders undergoing 14 weeks of transdiagnostic group psychotherapy as well as 37 healthy comparison subjects (HC) matched in age and sex. HCs were assessed once and patients three times throughout treatment (N = 172 data sets) with a battery of well‐studied ERPs and psychopathology measures consistent with the TDP framework The Hierarchical Taxonomy of Psychopathology (HiTOP). ERPs were quantified using robust single‐trial analysis (RSTA) methods and TDP correlations with linear regression models as implemented in the EEGLAB toolbox LIMO EEG. We found correlations at several levels of the HiTOP hierarchy. Among these, a reduced P3b was associated with the general p‐factor. A reduced error‐related negativity correlated strongly with worse symptomatology across the Internalizing spectrum. Increases in the correct‐related negativity correlated with symptoms loading unto the Distress subfactor in the HiTOP. The Flanker N2 was related to specific symptoms of Intrusive Cognitions and Traumatic Re‐experiencing and the mismatch negativity to maladaptive personality traits at the lowest levels of the HiTOP hierarchy. Our study highlights the advantages of RSTA methods and of using validated TDP constructs within a consistent framework. Future studies could utilize machine learning methods to predict TDP from a set of ERP features at the subject level. In this study, we conduct a comprehensive examination of the correlations between well‐studied event‐related potentials (ERPs) and measures of transdiagnostic psychopathology consistent with The Hierarchical Framework of Psychopathology (HiTOP). To quantify ERPs, we utilize robust single‐trial analysis methods. In our mixed sample of healthy comparison subjects and patients with emotional disorders undergoing psychotherapy, we find evidence of correlations between ERPs and symptom and personality trait measures at several levels of the HiTOP hierarchy. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Structural and functional MRI of altered brain development in a novel adolescent rat model of quinpirole-induced compulsive checking behavior

Author

Buitelaar, Jan, de Ruiter, Saskia, Naaijen, Jilly, Akkermans, Sophie, Mennes, Maarten, Zwiers, Marcel, Ilbegi, Shahrzad, Hennissen, Leonie, Glennon, Jeffrey, van de Vondervoort, Ilse, Kapusta, Katarzyna, Bielczyk, NaAAtalia, Amiri, Houshang, Havenith, Martha, Franke, Barbara, Poelmans, Geert, Bralten, Janita, Heskes, Tom, Sokolova, Elena, Groot, Perry, Williams, Steven, Murphy, DeAAclan, Lythgoe, David, Bruchhage, Muriel, Dud, Iulia, Voinescu, Bogdan, Dittmann, Ralf, Banaschewski, Tobias, Brandeis, Daniel, Mechler, Konstantin, Berg, Ruth, Wolf, Isabella, Häge, Alexander, Landauer, Michael, Hohmann, Sarah, Schlier, Regina Boecker, Ruff, Matthias, Mandl, René, Dijkhuizen, Rick, Blezer, Erwin, Straathof, Milou, van der Marel, Kajo, Pullens, Pim, Mol, Wouter, van der Toorn, Annette, Otte, Willem, van Heijningen, Caroline, Durston, Sarah, Mensen, VinAAcent, Oranje, Bob, Joel, Daphna, Cryan, John, Petryshen, Tracey, Pauls, David, Saito, Mai, Heckman, Angelique, Bahn, Sabine, Schwalber, Ameli, Florea, Ioana, Blezer, Erwin L.A., Smeele, Christel E., Buitelaar, Jan K., Glennon, Jeffrey C., Otte, Willem M., and Dijkhuizen, Rick M.

Published
2020
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31. Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder

Author

Leyhausen, Johanna, primary, Schäfer, Tim, additional, Gurr, Caroline, additional, Berg, Lisa M., additional, Seelemeyer, Hanna, additional, Pretzsch, Charlotte M., additional, Loth, Eva, additional, Oakley, Bethany, additional, Buitelaar, Jan K., additional, Beckmann, Christian F., additional, Floris, Dorothea L., additional, Charman, Tony, additional, Bourgeron, Thomas, additional, Banaschewski, Tobias, additional, Jones, Emily J.H., additional, Tillmann, Julian, additional, Chatham, Chris, additional, Murphy, Declan G., additional, Ecker, Christine, additional, Ahmad, Jumana, additional, Ambrosino, Sara, additional, Auyeung, Bonnie, additional, Baron-Cohen, Simon, additional, Baumeister, Sarah, additional, Bölte, Sven, additional, Bours, Carsten, additional, Brammer, Michael, additional, Brandeis, Daniel, additional, Brogna, Claudia, additional, de Bruijn, Yvette, additional, Chakrabarti, Bhismadev, additional, Cornelissen, Ineke, additional, Crawley, Daisy, additional, Dell’Acqua, Flavio, additional, Dumas, Guillaume, additional, Durston, Sarah, additional, Faulkner, Jessica, additional, Frouin, Vincent, additional, Garcés, Pilar, additional, Goyard, David, additional, Ham, Lindsay, additional, Hayward, Hannah, additional, Hipp, Joerg, additional, Holt, Rosemary, additional, Johnson, Mark H., additional, Kundu, Prantik, additional, Lai, Meng-Chuan, additional, D’ardhuy, Xavier Liogier, additional, Lombardo, Michael V., additional, Lythgoe, David J., additional, Mandl, René, additional, Marquand, Andre, additional, Mason, Luke, additional, Mennes, Maarten, additional, Meyer-Lindenberg, Andreas, additional, Moessnang, Carolin, additional, Bast, Nico, additional, Murphy, Declan G.M., additional, O’Dwyer, Laurence, additional, Oldehinkel, Marianne, additional, Oranje, Bob, additional, Pandina, Gahan, additional, Persico, Antonio M., additional, Ruggeri, Barbara, additional, Ruigrok, Amber, additional, Sabet, Jessica, additional, Sacco, Roberto, additional, San José Cáceres, Antonia, additional, Simonoff, Emily, additional, Spooren, Will, additional, Toro, Roberto, additional, Tost, Heike, additional, Waldman, Jack, additional, Williams, Steve C.R., additional, Wooldridge, Caroline, additional, and Zwiers, Marcel P., additional

Published
2024
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34. Author Correction: Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets

Author

Postema, Merel C., van Rooij, Daan, Anagnostou, Evdokia, Arango, Celso, Auzias, Guillaume, Behrmann, Marlene, Filho, Geraldo Busatto, Calderoni, Sara, Calvo, Rosa, Daly, Eileen, Deruelle, Christine, Di Martino, Adriana, Dinstein, Ilan, Duran, Fabio Luis S., Durston, Sarah, Ecker, Christine, Ehrlich, Stefan, Fair, Damien, Fedor, Jennifer, Feng, Xin, Fitzgerald, Jackie, Floris, Dorothea L., Freitag, Christine M., Gallagher, Louise, Glahn, David C., Gori, Ilaria, Haar, Shlomi, Hoekstra, Liesbeth, Jahanshad, Neda, Jalbrzikowski, Maria, Janssen, Joost, King, Joseph A., Kong, Xiang Zhen, Lazaro, Luisa, Lerch, Jason P., Luna, Beatriz, Martinho, Mauricio M., McGrath, Jane, Medland, Sarah E., Muratori, Filippo, Murphy, Clodagh M., Murphy, Declan G. M., O’Hearn, Kirsten, Oranje, Bob, Parellada, Mara, Puig, Olga, Retico, Alessandra, Rosa, Pedro, Rubia, Katya, Shook, Devon, Taylor, Margot J., Tosetti, Michela, Wallace, Gregory L., Zhou, Fengfeng, Thompson, Paul M., Fisher, Simon E., Buitelaar, Jan K., and Francks, Clyde

Published
2021
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36. Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder: Results from the EU-AIMS Longitudinal European Autism Project

Author

Ahmad, Jumana, Ambrosino, Sara, Auyeung, Bonnie, Banaschewski, Tobias, Baron-Cohen, Simon, Baumeister, Sarah, Beckmann, Christian F., Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brandeis, Daniel, Brogna, Claudia, de Bruijn, Yvette, Buitelaar, Jan K., Chakrabarti, Bhismadev, Charman, Tony, Cornelissen, Ineke, Crawley, Daisy, Dell’Acqua, Flavio, Dumas, Guillaume, Durston, Sarah, Ecker, Christine, Faulkner, Jessica, Frouin, Vincent, Garcés, Pilar, Goyard, David, Ham, Lindsay, Hayward, Hannah, Hipp, Joerg, Holt, Rosemary, Johnson, Mark H., Jones, Emily J.H., Kundu, Prantik, Lai, Meng-Chuan, Liogier D’ardhuy, Xavier, Lombardo, Michael V., Loth, Eva, Lythgoe, David J., Mandl, René, Marquand, Andre, Mason, Luke, Mennes, Maarten, Meyer-Lindenberg, Andreas, Moessnang, Carolin, Mueller, Nico, Murphy, Declan G.M., Oakley, Bethany, O’Dwyer, Laurence, Oldehinkel, Marianne, Oranje, Bob, Pandina, Gahan, Persico, Antonio M., Ruggeri, Barbara, Ruigrok, Amber, Sabet, Jessica, Sacco, Roberto, Cáceres, Antonia San José, Simonoff, Emily, Spooren, Will, Tillmann, Julian, Toro, Roberto, Tost, Heike, Waldman, Jack, Williams, Steve C.R., Wooldridge, Caroline, and Zwiers, Marcel P.

Published
2019
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40. A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric data

Author

Ambrosen, Karen S., Skjerbæk, Martin W., Foldager, Jonathan, Axelsen, Martin C., Bak, Nikolaj, Arvastson, Lars, Christensen, Søren R., Johansen, Louise B., Raghava, Jayachandra M., Oranje, Bob, Rostrup, Egill, Nielsen, Mette Ø., Osler, Merete, Fagerlund, Birgitte, Pantelis, Christos, Kinon, Bruce J., Glenthøj, Birte Y., Hansen, Lars K., and Ebdrup, Bjørn H.

Published
2020
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44. Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets

Author

Postema, Merel C., van Rooij, Daan, Anagnostou, Evdokia, Arango, Celso, Auzias, Guillaume, Behrmann, Marlene, Filho, Geraldo Busatto, Calderoni, Sara, Calvo, Rosa, Daly, Eileen, Deruelle, Christine, Di Martino, Adriana, Dinstein, Ilan, Duran, Fabio Luis S., Durston, Sarah, Ecker, Christine, Ehrlich, Stefan, Fair, Damien, Fedor, Jennifer, Feng, Xin, Fitzgerald, Jackie, Floris, Dorothea L., Freitag, Christine M., Gallagher, Louise, Glahn, David C., Gori, Ilaria, Haar, Shlomi, Hoekstra, Liesbeth, Jahanshad, Neda, Jalbrzikowski, Maria, Janssen, Joost, King, Joseph A., Kong, Xiang Zhen, Lazaro, Luisa, Lerch, Jason P., Luna, Beatriz, Martinho, Mauricio M., McGrath, Jane, Medland, Sarah E., Muratori, Filippo, Murphy, Clodagh M., Murphy, Declan G. M., O’Hearn, Kirsten, Oranje, Bob, Parellada, Mara, Puig, Olga, Retico, Alessandra, Rosa, Pedro, Rubia, Katya, Shook, Devon, Taylor, Margot J., Tosetti, Michela, Wallace, Gregory L., Zhou, Fengfeng, Thompson, Paul M., Fisher, Simon E., Buitelaar, Jan K., and Francks, Clyde

Published
2019
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47. Clustering of antipsychotic-naïve patients with schizophrenia based on functional connectivity from resting-state electroencephalography

Author

Affectieve & Psychotische Med., Brain, AIOS Psychiatrie, Ambrosen, Karen S., Fredriksson, Fanny, Anhøj, Simon, Bak, Nikolaj, van Dellen, Edwin, Dominicus, Livia, Lemvigh, Cecilie K., Sørensen, Mikkel E., Nielsen, Mette, Bojesen, Kirsten B., Fagerlund, Birgitte, Glenthøj, Birte Y., Oranje, Bob, Hansen, Lars K., Ebdrup, Bjørn H., Affectieve & Psychotische Med., Brain, AIOS Psychiatrie, Ambrosen, Karen S., Fredriksson, Fanny, Anhøj, Simon, Bak, Nikolaj, van Dellen, Edwin, Dominicus, Livia, Lemvigh, Cecilie K., Sørensen, Mikkel E., Nielsen, Mette, Bojesen, Kirsten B., Fagerlund, Birgitte, Glenthøj, Birte Y., Oranje, Bob, Hansen, Lars K., and Ebdrup, Bjørn H.

Published
2023

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