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1. Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts

Author

Hemforth, Lisa, Couvy-Duchesne, Baptiste, De Matos, Kevin, Brianceau, Camille, Joulot, Matthieu, Banaschewski, Tobias, Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Papadopoulos, Dimitri, Lemaitre, Herve, Paus, Tomas, Poustka, Luise, Hohmann, Sarah, Holz, Nathalie, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Büchel, Christian, Poline, JB, Itterman, Bernd, Frouin, Vincent, Martin, Alexandre, group, IMAGEN study, Cury, Claire, and Colliot, Olivier

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition
Abstract

Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population. IHI can be visually assessed on coronal slices of T1 weighted MR images, using a composite score that combines four anatomical criteria. IHI has been associated with several brain disorders (epilepsy, schizophrenia). However, these studies were based on small samples. Furthermore, the factors (genetic or environmental) that contribute to the genesis of IHI are largely unknown. Large-scale studies are thus needed to further understand IHI and their potential relationships to neurological and psychiatric disorders. However, visual evaluation is long and tedious, justifying the need for an automatic method. In this paper, we propose, for the first time, to automatically rate IHI. We proceed by predicting four anatomical criteria, which are then summed up to form the IHI score, providing the advantage of an interpretable score. We provided an extensive experimental investigation of different machine learning methods and training strategies. We performed automatic rating using a variety of deep learning models (conv5-FC3, ResNet and SECNN) as well as a ridge regression. We studied the generalization of our models using different cohorts and performed multi-cohort learning. We relied on a large population of 2,008 participants from the IMAGEN study, 993 and 403 participants from the QTIM/QTAB studies as well as 985 subjects from the UKBiobank. We showed that deep learning models outperformed a ridge regression. We demonstrated that the performances of the conv5-FC3 network were at least as good as more complex networks while maintaining a low complexity and computation time. We showed that training on a single cohort may lack in variability while training on several cohorts improves generalization., Comment: Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2024:016

Published
2024
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2. Self-supervised contrastive learning unveils cortical folding pattern linked to prematurity

Author

Laval, Julien, Gaudin, Aymeric, Frouin, Vincent, Dubois, Jessica, Gondova, Andrea, Mangin, Jean-François, Chavas, Joël, and Rivière, Denis

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Brain folding patterns have been reported to carry clinically relevant information. The brain folds mainly during the last trimester of pregnancy, and the process might be durably disturbed by preterm birth. Yet little is known about preterm-specific patterns. In this work, we train a self-supervised model (SimCLR) on the UKBioBank cohort (21070 adults) to represent the right superior temporal sulcus (STS) region and apply it to sulci images of 374 babies from the dHCP database, containing preterms and full-terms, and acquired at 40 weeks post-menstrual age. We find a lower variability in the preterm embeddings, supported by the identification of a knob pattern, missing in the extremely preterm population.

Published
2024

3. Beyond the Global Brain Differences: Intraindividual Variability Differences in 1q21.1 Distal and 15q11.2 BP1-BP2 Deletion Carriers.

Author

Boen, Rune, Kaufmann, Tobias, van der Meer, Dennis, Frei, Oleksandr, Agartz, Ingrid, Ames, David, Andersson, Micael, Armstrong, Nicola, Artiges, Eric, Atkins, Joshua, Bauer, Jochen, Benedetti, Francesco, Boomsma, Dorret, Brodaty, Henry, Brosch, Katharina, Buckner, Randy, Cairns, Murray, Calhoun, Vince, Caspers, Svenja, Cichon, Sven, Corvin, Aiden, Crespo-Facorro, Benedicto, Dannlowski, Udo, David, Friederike, de Geus, Eco, de Zubicaray, Greig, Desrivières, Sylvane, Doherty, Joanne, Donohoe, Gary, Ehrlich, Stefan, Eising, Else, Espeseth, Thomas, Fisher, Simon, Forstner, Andreas, Fortaner-Uyà, Lidia, Frouin, Vincent, Fukunaga, Masaki, Ge, Tian, Glahn, David, Goltermann, Janik, Grabe, Hans, Green, Melissa, Groenewold, Nynke, Grotegerd, Dominik, Grøntvedt, Gøril, Hahn, Tim, Hashimoto, Ryota, Hehir-Kwa, Jayne, Henskens, Frans, Holmes, Avram, Håberg, Asta, Haavik, Jan, Jacquemont, Sebastien, Jansen, Andreas, Jockwitz, Christiane, Jönsson, Erik, Kikuchi, Masataka, Kircher, Tilo, Kumar, Kuldeep, Le Hellard, Stephanie, Leu, Costin, Linden, David, Liu, Jingyu, Loughnan, Robert, Mather, Karen, McMahon, Katie, McRae, Allan, Medland, Sarah, Meinert, Susanne, Moreau, Clara, Morris, Derek, Mowry, Bryan, Mühleisen, Thomas, Nenadić, Igor, Nöthen, Markus, Nyberg, Lars, Ophoff, Roel, Owen, Michael, Pantelis, Christos, Paolini, Marco, Paus, Tomas, Pausova, Zdenka, Persson, Karin, Quidé, Yann, Marques, Tiago, Sachdev, Perminder, Sando, Sigrid, Schall, Ulrich, Scott, Rodney, Selbæk, Geir, Shumskaya, Elena, Silva, Ana, Sisodiya, Sanjay, Stein, Frederike, Stein, Dan, Straube, Benjamin, Streit, Fabian, Strike, Lachlan, Teumer, Alexander, and Teutenberg, Lea

Subjects
15q11.2 BP1-BP2, 1q21.1 distal, Brain structure, Copy number variants, Intraindividual variability, Magnetic resonance imaging, Humans, Chromosome Deletion, Brain, Magnetic Resonance Imaging, Abnormalities, Multiple, Chromosomes, Human, Pair 15, DNA Copy Number Variations
Abstract

BACKGROUND: Carriers of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants exhibit regional and global brain differences compared with noncarriers. However, interpreting regional differences is challenging if a global difference drives the regional brain differences. Intraindividual variability measures can be used to test for regional differences beyond global differences in brain structure. METHODS: Magnetic resonance imaging data were used to obtain regional brain values for 1q21.1 distal deletion (n = 30) and duplication (n = 27) and 15q11.2 BP1-BP2 deletion (n = 170) and duplication (n = 243) carriers and matched noncarriers (n = 2350). Regional intra-deviation scores, i.e., the standardized difference between an individuals regional difference and global difference, were used to test for regional differences that diverge from the global difference. RESULTS: For the 1q21.1 distal deletion carriers, cortical surface area for regions in the medial visual cortex, posterior cingulate, and temporal pole differed less and regions in the prefrontal and superior temporal cortex differed more than the global difference in cortical surface area. For the 15q11.2 BP1-BP2 deletion carriers, cortical thickness in regions in the medial visual cortex, auditory cortex, and temporal pole differed less and the prefrontal and somatosensory cortex differed more than the global difference in cortical thickness. CONCLUSIONS: We find evidence for regional effects beyond differences in global brain measures in 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants. The results provide new insight into brain profiling of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants, with the potential to increase understanding of the mechanisms involved in altered neurodevelopment.

Published
2024

6. Temporo-basal sulcal connections: a manual annotation protocol and an investigation of sexual dimorphism and heritability

Author

de Matos, Kevin, Cury, Claire, Chougar, Lydia, Strike, Lachlan T., Rolland, Thibault, Riche, Maximilien, Hemforth, Lisa, Martin, Alexandre, Banaschewski, Tobias, Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Paillère Martinot, Marie-Laure, Artiges, Eric, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Lemaitre, Herve, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Millenet, Sabina, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Frouin, Vincent, Bach Cuadra, Meritxell, Colliot, Olivier, and Couvy-Duchesne, Baptiste

Published
2023
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7. MixUp Brain-Cortical Augmentations in Self-supervised Learning

Author

Ambroise, Corentin, Frouin, Vincent, Dufumier, Benoit, Duchesnay, Edouard, Grigis, Antoine, 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, Govindarajan, Sindhuja T., editor, Habes, Mohamad, editor, Kumar, Vinod, editor, Leonardsen, Esten, editor, Wolfers, Thomas, editor, and Xiao, Yiming, editor

Published
2023
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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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9. Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group

Author

Jia, Tianye, Chu, Congying, Liu, Yun, van Dongen, Jenny, Papastergios, Evangelos, Armstrong, Nicola J, Bastin, Mark E, Carrillo-Roa, Tania, den Braber, Anouk, Harris, Mathew, Jansen, Rick, Liu, Jingyu, Luciano, Michelle, Ori, Anil PS, Roiz Santiañez, Roberto, Ruggeri, Barbara, Sarkisyan, Daniil, Shin, Jean, Sungeun, Kim, Tordesillas Gutiérrez, Diana, van’t Ent, Dennis, Ames, David, Artiges, Eric, Bakalkin, Georgy, Banaschewski, Tobias, Bokde, Arun LW, Brodaty, Henry, Bromberg, Uli, Brouwer, Rachel, Büchel, Christian, Burke Quinlan, Erin, Cahn, Wiepke, de Zubicaray, Greig I, Ehrlich, Stefan, Ekström, Tomas J, Flor, Herta, Fröhner, Juliane H, Frouin, Vincent, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Hoare, Jacqueline, Ittermann, Bernd, Jahanshad, Neda, Jiang, Jiyang, Kwok, John B, Martin, Nicholas G, Martinot, Jean-Luc, Mather, Karen A, McMahon, Katie L, McRae, Allan F, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Sämann, Philipp G, Schofield, Peter R, Smolka, Michael N, Stein, Dan J, Strike, Lachlan T, Teeuw, Jalmar, Thalamuthu, Anbupalam, Trollor, Julian, Walter, Henrik, Wardlaw, Joanna M, Wen, Wei, Whelan, Robert, Apostolova, Liana G, Binder, Elisabeth B, Boomsma, Dorret I, Calhoun, Vince, Crespo-Facorro, Benedicto, Deary, Ian J, Hulshoff Pol, Hilleke, Ophoff, Roel A, Pausova, Zdenka, Sachdev, Perminder S, Saykin, Andrew, Wright, Margaret J, Thompson, Paul M, Schumann, Gunter, and Desrivières, Sylvane

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Mental Health, Neurosciences, Genetics, Human Genome, Diabetes, Neurodegenerative, 2.1 Biological and endogenous factors, Aetiology, Neurological, Mental health, CpG Islands, DNA Methylation, Epigenesis, Genetic, Epigenome, Genome-Wide Association Study, Humans, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

DNA methylation, which is modulated by both genetic factors and environmental exposures, may offer a unique opportunity to discover novel biomarkers of disease-related brain phenotypes, even when measured in other tissues than brain, such as blood. A few studies of small sample sizes have revealed associations between blood DNA methylation and neuropsychopathology, however, large-scale epigenome-wide association studies (EWAS) are needed to investigate the utility of DNA methylation profiling as a peripheral marker for the brain. Here, in an analysis of eleven international cohorts, totalling 3337 individuals, we report epigenome-wide meta-analyses of blood DNA methylation with volumes of the hippocampus, thalamus and nucleus accumbens (NAcc)-three subcortical regions selected for their associations with disease and heritability and volumetric variability. Analyses of individual CpGs revealed genome-wide significant associations with hippocampal volume at two loci. No significant associations were found for analyses of thalamus and nucleus accumbens volumes. Cluster-based analyses revealed additional differentially methylated regions (DMRs) associated with hippocampal volume. DNA methylation at these loci affected expression of proximal genes involved in learning and memory, stem cell maintenance and differentiation, fatty acid metabolism and type-2 diabetes. These DNA methylation marks, their interaction with genetic variants and their impact on gene expression offer new insights into the relationship between epigenetic variation and brain structure and may provide the basis for biomarker discovery in neurodegeneration and neuropsychiatric conditions.

Published
2021

10. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans.

Author

Sønderby, Ida E, van der Meer, Dennis, Moreau, Clara, Kaufmann, Tobias, Walters, G Bragi, Ellegaard, Maria, Abdellaoui, Abdel, Ames, David, Amunts, Katrin, Andersson, Micael, Armstrong, Nicola J, Bernard, Manon, Blackburn, Nicholas B, Blangero, John, Boomsma, Dorret I, Brodaty, Henry, Brouwer, Rachel M, Bülow, Robin, Bøen, Rune, Cahn, Wiepke, Calhoun, Vince D, Caspers, Svenja, Ching, Christopher RK, Cichon, Sven, Ciufolini, Simone, Crespo-Facorro, Benedicto, Curran, Joanne E, Dale, Anders M, Dalvie, Shareefa, Dazzan, Paola, de Geus, Eco JC, de Zubicaray, Greig I, de Zwarte, Sonja MC, Desrivieres, Sylvane, Doherty, Joanne L, Donohoe, Gary, Draganski, Bogdan, Ehrlich, Stefan, Eising, Else, Espeseth, Thomas, Fejgin, Kim, Fisher, Simon E, Fladby, Tormod, Frei, Oleksandr, Frouin, Vincent, Fukunaga, Masaki, Gareau, Thomas, Ge, Tian, Glahn, David C, Grabe, Hans J, Groenewold, Nynke A, Gústafsson, Ómar, Haavik, Jan, Haberg, Asta K, Hall, Jeremy, Hashimoto, Ryota, Hehir-Kwa, Jayne Y, Hibar, Derrek P, Hillegers, Manon HJ, Hoffmann, Per, Holleran, Laurena, Holmes, Avram J, Homuth, Georg, Hottenga, Jouke-Jan, Hulshoff Pol, Hilleke E, Ikeda, Masashi, Jahanshad, Neda, Jockwitz, Christiane, Johansson, Stefan, Jönsson, Erik G, Jørgensen, Niklas R, Kikuchi, Masataka, Knowles, Emma EM, Kumar, Kuldeep, Le Hellard, Stephanie, Leu, Costin, Linden, David EJ, Liu, Jingyu, Lundervold, Arvid, Lundervold, Astri Johansen, Maillard, Anne M, Martin, Nicholas G, Martin-Brevet, Sandra, Mather, Karen A, Mathias, Samuel R, McMahon, Katie L, McRae, Allan F, Medland, Sarah E, Meyer-Lindenberg, Andreas, Moberget, Torgeir, Modenato, Claudia, Sánchez, Jennifer Monereo, Morris, Derek W, Mühleisen, Thomas W, Murray, Robin M, Nielsen, Jacob, Nordvik, Jan E, Nyberg, Lars, Loohuis, Loes M Olde, and Ophoff, Roel A

Subjects
ENIGMA-CNV working group, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers-the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function.

Published
2021

11. 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. Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Author

Sønderby, Ida E, Gústafsson, Ómar, Doan, Nhat Trung, Hibar, Derrek P, Martin-Brevet, Sandra, Abdellaoui, Abdel, Ames, David, Amunts, Katrin, Andersson, Michael, Armstrong, Nicola J, Bernard, Manon, Blackburn, Nicholas, Blangero, John, Boomsma, Dorret I, Bralten, Janita, Brattbak, Hans-Richard, Brodaty, Henry, Brouwer, Rachel M, Bülow, Robin, Calhoun, Vince, Caspers, Svenja, Cavalleri, Gianpiero, Chen, Chi-Hua, Cichon, Sven, Ciufolini, Simone, Corvin, Aiden, Crespo-Facorro, Benedicto, Curran, Joanne E, Dale, Anders M, Dalvie, Shareefa, Dazzan, Paola, de Geus, Eco JC, de Zubicaray, Greig I, de Zwarte, Sonja MC, Delanty, Norman, den Braber, Anouk, Desrivières, Sylvane, Donohoe, Gary, Draganski, Bogdan, Ehrlich, Stefan, Espeseth, Thomas, Fisher, Simon E, Franke, Barbara, Frouin, Vincent, Fukunaga, Masaki, Gareau, Thomas, Glahn, David C, Grabe, Hans, Groenewold, Nynke A, Haavik, Jan, Håberg, Asta, Hashimoto, Ryota, Hehir-Kwa, Jayne Y, Heinz, Andreas, Hillegers, Manon HJ, Hoffmann, Per, Holleran, Laurena, Hottenga, Jouke-Jan, Hulshoff, Hilleke E, Ikeda, Masashi, Jahanshad, Neda, Jernigan, Terry, Jockwitz, Christiane, Johansson, Stefan, Jonsdottir, Gudrun A, Jönsson, Erik G, Kahn, Rene, Kaufmann, Tobias, Kelly, Sinead, Kikuchi, Masataka, Knowles, Emma EM, Kolskår, Knut K, Kwok, John B, Hellard, Stephanie Le, Leu, Costin, Liu, Jingyu, Lundervold, Astri J, Lundervold, Arvid, Martin, Nicholas G, Mather, Karen, Mathias, Samuel R, McCormack, Mark, McMahon, Katie L, McRae, Allan, Milaneschi, Yuri, Moreau, Clara, Morris, Derek, Mothersill, David, Mühleisen, Thomas W, Murray, Robin, Nordvik, Jan E, Nyberg, Lars, Olde Loohuis, Loes M, Ophoff, Roel, Paus, Tomas, Pausova, Zdenka, Penninx, Brenda, Peralta, Juan M, Pike, Bruce, and Prieto, Carlos

Subjects
Intellectual and Developmental Disabilities (IDD), Neurosciences, Brain Disorders, Autism, Biomedical Imaging, Mental Health, Mental health, Adult, Autism Spectrum Disorder, Autistic Disorder, Basal Ganglia, Brain, Chromosome Deletion, Chromosome Disorders, Chromosome Duplication, Chromosomes, Human, Pair 16, DNA Copy Number Variations, Databases, Factual, Female, Globus Pallidus, Humans, Image Processing, Computer-Assisted, Intellectual Disability, Magnetic Resonance Imaging, Male, Middle Aged, Neurodevelopmental Disorders, Organ Size, Putamen, Schizophrenia, 16p11.2 European Consortium, for the ENIGMA-CNV working group, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes of 12 16p11.2 distal deletion and 12 duplication carriers to 6882 non-carriers from the large-scale brain Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent CNV calling procedures, and standardized FreeSurfer image analysis, we found negative dose-response associations with copy number on intracranial volume and on regional caudate, pallidum and putamen volumes (β = -0.71 to -1.37; P

Published
2020

13. Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia.

Author

Sønderby, Ida E, Gústafsson, Ómar, Doan, Nhat Trung, Hibar, Derrek P, Martin-Brevet, Sandra, Abdellaoui, Abdel, Ames, David, Amunts, Katrin, Andersson, Michael, Armstrong, Nicola J, Bernard, Manon, Blackburn, Nicholas, Blangero, John, Boomsma, Dorret I, Bralten, Janita, Brattbak, Hans-Richard, Brodaty, Henry, Brouwer, Rachel M, Bülow, Robin, Calhoun, Vince, Caspers, Svenja, Cavalleri, Gianpiero, Chen, Chi-Hua, Cichon, Sven, Ciufolini, Simone, Corvin, Aiden, Crespo-Facorro, Benedicto, Curran, Joanne E, Dale, Anders M, Dalvie, Shareefa, Dazzan, Paola, de Geus, Eco JC, de Zubicaray, Greig I, de Zwarte, Sonja MC, Delanty, Norman, den Braber, Anouk, Desrivières, Sylvane, Donohoe, Gary, Draganski, Bogdan, Ehrlich, Stefan, Espeseth, Thomas, Fisher, Simon E, Franke, Barbara, Frouin, Vincent, Fukunaga, Masaki, Gareau, Thomas, Glahn, David C, Grabe, Hans, Groenewold, Nynke A, Haavik, Jan, Håberg, Asta, Hashimoto, Ryota, Hehir-Kwa, Jayne Y, Heinz, Andreas, Hillegers, Manon HJ, Hoffmann, Per, Holleran, Laurena, Hottenga, Jouke-Jan, Hulshoff, Hilleke E, Ikeda, Masashi, Jahanshad, Neda, Jernigan, Terry, Jockwitz, Christiane, Johansson, Stefan, Jonsdottir, Gudrun A, Jönsson, Erik G, Kahn, Rene, Kaufmann, Tobias, Kelly, Sinead, Kikuchi, Masataka, Knowles, Emma EM, Kolskår, Knut K, Kwok, John B, Hellard, Stephanie Le, Leu, Costin, Liu, Jingyu, Lundervold, Astri J, Lundervold, Arvid, Martin, Nicholas G, Mather, Karen, Mathias, Samuel R, McCormack, Mark, McMahon, Katie L, McRae, Allan, Milaneschi, Yuri, Moreau, Clara, Morris, Derek, Mothersill, David, Mühleisen, Thomas W, Murray, Robin, Nordvik, Jan E, Nyberg, Lars, Olde Loohuis, Loes M, Ophoff, Roel, Paus, Tomas, Pausova, Zdenka, Penninx, Brenda, Peralta, Juan M, Pike, Bruce, and Prieto, Carlos

Subjects
16p11.2 European Consortium, for the ENIGMA-CNV working group, Neurosciences, Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

Prior to and following the publication of this article the authors noted that the complete list of authors was not included in the main article and was only present in Supplementary Table 1. The author list in the original article has now been updated to include all authors, and Supplementary Table 1 has been removed. All other supplementary files have now been updated accordingly. Furthermore, in Table 1 of this Article, the replication cohort for the row Close relative in data set, n (%) was incorrect. All values have now been corrected to 0(0%). The publishers would like to apologise for this error and the inconvenience it may have caused.

Published
2020

14. Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity

Author

Grigis, Antoine, Gomez, Chloé, Frouin, Vincent, Uhrig, Lynn, Jarraya, Béchir, 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, Wang, Linwei, editor, Dou, Qi, editor, Fletcher, P. Thomas, editor, Speidel, Stefanie, editor, and Li, Shuo, editor

Published
2022
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17. Cerebellar Atypicalities in Autism?

Author

Tobias Banaschewski, Persico, Antonio, San Jose Caceres, Antonia, Hayward, Hannah, Crawley, Daisy, Faulkner, Jessica, Sabet, Jessica, Ellis, Claire, Oakley, Bethany, Holt, Rosemary, Ambrosino, Sara, Bast, Nico, Baumeister, Sarah, Rausch, Annika, Bours, Carsten, Cornelissen, Ineke, von Rhein, Daniel, O’Dwyer, Larry, Ahmad, Jumana, Simonoff, Emily, Laidi, Charles, Floris, Dorothea L., Tillmann, Julian, Elandaloussi, Yannis, Zabihi, Mariam, Charman, Tony, Wolfers, Thomas, Durston, Sarah, Moessnang, Carolin, Dell’Acqua, Flavio, Ecker, Christine, Loth, Eva, Murphy, Declan, Baron-Cohen, Simon, Buitelaar, Jan K., Marquand, Andre F., Beckmann, Christian F., Frouin, Vincent, Leboyer, Marion, Duchesnay, Edouard, Coupé, Pierrick, and Houenou, Josselin

Published
2022
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19. Unravelling robust brain-behavior links of depressive complaints through granular network models for understanding heterogeneity

Author

Freichel, René, primary, Lenartowicz, Agatha, additional, Douw, Linda, additional, Kruschwitz, Johann D., additional, Banaschewski, Tobias, additional, Barker, Gareth J., additional, Bokde, Arun L.W., additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Grigis, Antoine, additional, Garavan, Hugh, additional, Heinz, Andreas, additional, Brühl, Rüdiger, additional, Martinot, Jean-Luc, additional, Martinot, Marie-Laure Paillère, additional, Artiges, Eric, additional, Nees, Frauke, additional, Orfanos, Dimitri Papadopoulos, additional, Paus, Tomáš, additional, Poustka, Luise, additional, Holz, Nathalie, additional, Baeuchl, Christian, additional, Smolka, Michael N., additional, Vaidya, Nilakshi, additional, Whelan, Robert, additional, Frouin, Vincent, additional, Schumann, Gunter, additional, Walter, Henrik, additional, and Blanken, Tessa F., additional

Published
2024
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21. A general multiblock method for structured variable selection

Author

Löfstedt, Tommy, Hadj-Selem, Fouad, Guillemot, Vincent, Philippe, Cathy, Raymond, Nicolas, Duchesney, Edouard, Frouin, Vincent, and Tenenhaus, Arthur

Subjects
Statistics - Machine Learning
Abstract

Regularised canonical correlation analysis was recently extended to more than two sets of variables by the multiblock method Regularised generalised canonical correlation analysis (RGCCA). Further, Sparse GCCA (SGCCA) was proposed to address the issue of variable selection. However, for technical reasons, the variable selection offered by SGCCA was restricted to a covariance link between the blocks (i.e., with $\tau=1$). One of the main contributions of this paper is to go beyond the covariance link and to propose an extension of SGCCA for the full RGCCA model (i.e., with $\tau\in[0, 1]$). In addition, we propose an extension of SGCCA that exploits structural relationships between variables within blocks. Specifically, we propose an algorithm that allows structured and sparsity-inducing penalties to be included in the RGCCA optimisation problem. The proposed multiblock method is illustrated on a real three-block high-grade glioma data set, where the aim is to predict the location of the brain tumours, and on a simulated data set, where the aim is to illustrate the method's ability to reconstruct the true underlying weight vectors., Comment: 24 pages, 5 figures

Published
2016

22. Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty

Author

de Pierrefeu, Amicie, Löfstedt, Tommy, Hadj-Selem, Fouad, Dubois, Mathieu, Ciuciu, Philippe, Frouin, Vincent, and Duchesnay, Edouard

Subjects
Statistics - Machine Learning
Abstract

Principal component analysis (PCA) is an exploratory tool widely used in data analysis to uncover dominant patterns of variability within a population. Despite its ability to represent a data set in a low-dimensional space, the interpretability of PCA remains limited. However, in neuroimaging, it is essential to uncover clinically interpretable phenotypic markers that would account for the main variability in the brain images of a population. Recently, some alternatives to the standard PCA approach, such as Sparse PCA, have been proposed, their aim being to limit the density of the components. Nonetheless, sparsity alone does not entirely solve the interpretability problem, since it may yield scattered and unstable components. We hypothesized that the incorporation of prior information regarding the structure of the data may lead to improved relevance and interpretability of brain patterns. We therefore present a simple extension of the popular PCA framework that adds structured sparsity penalties on the loading vectors in order to identify the few stable regions in the brain images accounting for most of the variability. Such structured sparsity can be obtained by combining l1 and total variation (TV) penalties, where the TV regularization encodes higher order information about the structure of the data. This paper presents the structured sparse PCA (denoted SPCA-TV) optimization framework and its resolution. We demonstrate the efficiency and versatility of SPCA-TV on three different data sets. The gains of SPCA-TV over unstructured approaches are significant,since SPCA-TV reveals the variability within a data set in the form of intelligible brain patterns that are easy to interpret, and are more stable across different samples., Comment: 10 pages, 4 figures

Published
2016

23. Continuation of Nesterov's Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging

Author

Hadj-Selem, Fouad, Lofstedt, Tommy, Dohmatob, Elvis, Frouin, Vincent, Dubois, Mathieu, Guillemot, Vincent, and Duchesnay, Edouard

Subjects
Statistics - Machine Learning
Abstract

Predictive models can be used on high-dimensional brain images for diagnosis of a clinical condition. Spatial regularization through structured sparsity offers new perspectives in this context and reduces the risk of overfitting the model while providing interpretable neuroimaging signatures by forcing the solution to adhere to domain-specific constraints. Total Variation (TV) enforces spatial smoothness of the solution while segmenting predictive regions from the background. We consider the problem of minimizing the sum of a smooth convex loss, a non-smooth convex penalty (whose proximal operator is known) and a wide range of possible complex, non-smooth convex structured penalties such as TV or overlapping group Lasso. Existing solvers are either limited in the functions they can minimize or in their practical capacity to scale to high-dimensional imaging data. Nesterov's smoothing technique can be used to minimize a large number of non-smooth convex structured penalties but reasonable precision requires a small smoothing parameter, which slows down the convergence speed. To benefit from the versatility of Nesterov's smoothing technique, we propose a first order continuation algorithm, CONESTA, which automatically generates a sequence of decreasing smoothing parameters. The generated sequence maintains the optimal convergence speed towards any globally desired precision. Our main contributions are: To propose an expression of the duality gap to probe the current distance to the global optimum in order to adapt the smoothing parameter and the convergence speed. We provide a convergence rate, which is an improvement over classical proximal gradient smoothing methods. We demonstrate on both simulated and high-dimensional structural neuroimaging data that CONESTA significantly outperforms many state-of-the-art solvers in regard to convergence speed and precision., Comment: 11 pages, 6 figures, accepted in IEEE TMI, IEEE Transactions on Medical Imaging 2018

Published
2016

24. 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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25. 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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26. Substance Use Initiation, Particularly Alcohol, in Drug-Naive Adolescents: Possible Predictors and Consequences From a Large Cohort Naturalistic Study

Author

Rapp, Michael, Artiges, Eric, Schneider, Sophia, Paus, Tomas, Barbot, Alexis, Barker, Gareth, Bokde, Arun, Vetter, Nora, Büchel, Christian, Cattrell, Anna, Constant, Patrick, Gowland, Penny, Crombag, Hans, Dalley, Jeffrey, Decideur, Benjamin, Spranger, Tade, Ripley, Tamzin, Heym, Nadja, Flor, Herta, Sommer, Wolfgang, Fuchs, Birgit, Gallinat, Jürgen, Garavan, Hugh, Spanagel, Rainer, Kaviani, Mehri, Heinrichs, Bert, Andreas Heinz, Subramaniam, Naresh, Jia, Tianye, Ihlenfeld, Albrecht, Ireland, James, Ittermann, Bernd, Conrod, Patricia, Banaschewski, Tobias, Jones, Jennifer, Klaassen, Arno, Lalanne, Christophe, Lanzerath, Dirk, Lawrence, Claire, Lemaitre, Hervé, Desrivieres, Sylvane, Mallik, Catherine, Mann, Karl, Mar, Adam, Martinez-Medina, Lourdes, Martinot, Jean-Luc, Mennigen, Eva, Mesquita de Carvahlo, Fabiana, Schwartz, Yannick, Bruehl, Ruediger, Müller, Kathrin, Nees, Frauke, Nymberg, Charlotte, Lathrop, Mark, Robbins, Trevor, Pausova, Zdenka, Pentilla, Jani, Biondo, Francesca, Poline, Jean-Baptiste, Poustka, Luise, Millenet, Sabina, Smolka, Michael, Fröhner, Juliane, Struve, Maren, Williams, Steve, Hübner, Thomas, Bromberg, Uli, Aydin, Semiha, Rogers, John, Romanowski, Alexander, Schmäl, Christine, Schmidt, Dirk, Ripke, Stephan, Arroyo, Mercedes, Schubert, Florian, Pena-Oliver, Yolanda, Fauth-Bühler, Mira, Mignon, Xavier, Whelan, Robert, Speiser, Claudia, Fadai, Tahmine, Stephens, Dai, Ströhle, Andreas, Paillere, Marie-Laure, Strache, Nicole, Theobald, David, Jurk, Sarah, Vulser, Helene, Miranda, Ruben, Yacubilin, Juliana, Frouin, Vincent, Genauck, Alexander, Parchetka, Caroline, Gemmeke, Isabel, Kruschwitz, Johann, WeiB, Katharina, Walter, Henrik, Feng, Jianfeng, Papadopoulos, Dimitri, Filippi, Irina, Ing, Alex, Ruggeri, Barbara, Xu, Bing, Macare, Christine, Chu, Congying, Hanratty, Eanna, Burke Quinlan, Erin, Robert, Gabriel, Schumann, Gunter, Yu, Tao, Ziesch, Veronika, Stedman, Alicia, Ivanov, Iliyan, Parvaz, Muhammad A., Velthorst, Eva, Shaik, Riaz B., Sandin, Sven, Gan, Gabriela, Spechler, Philip, Albaugh, Matthew D., Chaarani, Bader, Mackey, Scott, Bokde, Arun L.W., Quinlan, Erin Burke, Desrivières, Sylvane, Grigis, Antoine, Heinz, Andreas, Paillère Martinot, Marie-Laure, Lemaitre, Herve, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Hohmann, Sarah, Fröhner, Juliane H., and Smolka, Michael N.

Published
2021
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27. Reward Versus Nonreward Sensitivity of the Medial Versus Lateral Orbitofrontal Cortex Relates to the Severity of Depressive Symptoms

Author

Artiges, Eric, Aydin, Semiha, Banaschewski, Tobias, Barbot, Alexis, Barker, Gareth, Becker, Andreas, Bezivin-Frere, Pauline, Biondo, Francesca, Bokde, Arun, Büchel, Christian, Chu, Congying, Conrod, Patricia, Daedelow, Laura, Dalley, Jeffrey, Desrivieres, Sylvane, Dooley, Eoin, Filippi, Irina, Fillmer, Ariane, Flor, Herta, Fröhner, Juliane, Frouin, Vincent, Garavan, Hugh, Gowland, Penny, Grimmer, Yvonne, Heinz, Andreas, Hohmann, Sarah, Ihlenfeld, Albrecht, Ing, Alex, Isensee, Corinna, Ittermann, Bernd, Jia, Tianye, Lemaitre, Hervé, Lethbridge, Emma, Martinot, Jean-Luc, Millenet, Sabina, Miller, Sarah, Miranda, Ruben, Nees, Frauke, Paillere, Marie-Laure, Papadopoulos, Dimitri, Paus, Tomáš, Pausova, Zdenka, Pentilla, Jani, Poline, Jean-Baptiste, Poustka, Luise, Burke, Erin, Rapp, Michael, Robbins, Trevor, Robert, Gabriel, Rogers, John, Ruggeri, Barbara, Schumann, Gunter, Smolka, Michael, Stringaris, Argyris, van Noort, Betteke, Walter, Henrik, Whelan, Robert, Simon, Roux, Williams, Steve, Zhang, Yuning, Xie, Chao, Rolls, Edmund T., Robbins, Trevor W., Sahakian, Barbara J., Zhang, Jie, Liu, Zhaowen, Cheng, Wei, Luo, Qiang, Zac Lo, Chun-Yi, Wang, He, Barker, Gareth J., Bokde, Arun L.W., Quinlan, Erin Burke, Desrivières, Sylvane, Grigis, Antoine, Paillère Martinot, Marie-Laure, Orfanos, Dimitri Papadopoulos, Fröhner, Juliane H., Smolka, Michael N., and Feng, Jianfeng

Published
2021
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28. Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex.

Author

Guadalupe, Tulio, Mathias, Samuel R, vanErp, Theo GM, Whelan, Christopher D, Zwiers, Marcel P, Abe, Yoshinari, Abramovic, Lucija, Agartz, Ingrid, Andreassen, Ole A, Arias-Vásquez, Alejandro, Aribisala, Benjamin S, Armstrong, Nicola J, Arolt, Volker, Artiges, Eric, Ayesa-Arriola, Rosa, Baboyan, Vatche G, Banaschewski, Tobias, Barker, Gareth, Bastin, Mark E, Baune, Bernhard T, Blangero, John, Bokde, Arun LW, Boedhoe, Premika SW, Bose, Anushree, Brem, Silvia, Brodaty, Henry, Bromberg, Uli, Brooks, Samantha, Büchel, Christian, Buitelaar, Jan, Calhoun, Vince D, Cannon, Dara M, Cattrell, Anna, Cheng, Yuqi, Conrod, Patricia J, Conzelmann, Annette, Corvin, Aiden, Crespo-Facorro, Benedicto, Crivello, Fabrice, Dannlowski, Udo, de Zubicaray, Greig I, de Zwarte, Sonja MC, Deary, Ian J, Desrivières, Sylvane, Doan, Nhat Trung, Donohoe, Gary, Dørum, Erlend S, Ehrlich, Stefan, Espeseth, Thomas, Fernández, Guillén, Flor, Herta, Fouche, Jean-Paul, Frouin, Vincent, Fukunaga, Masaki, Gallinat, Jürgen, Garavan, Hugh, Gill, Michael, Suarez, Andrea Gonzalez, Gowland, Penny, Grabe, Hans J, Grotegerd, Dominik, Gruber, Oliver, Hagenaars, Saskia, Hashimoto, Ryota, Hauser, Tobias U, Heinz, Andreas, Hibar, Derrek P, Hoekstra, Pieter J, Hoogman, Martine, Howells, Fleur M, Hu, Hao, Hulshoff Pol, Hilleke E, Huyser, Chaim, Ittermann, Bernd, Jahanshad, Neda, Jönsson, Erik G, Jurk, Sarah, Kahn, Rene S, Kelly, Sinead, Kraemer, Bernd, Kugel, Harald, Kwon, Jun Soo, Lemaitre, Herve, Lesch, Klaus-Peter, Lochner, Christine, Luciano, Michelle, Marquand, Andre F, Martin, Nicholas G, Martínez-Zalacaín, Ignacio, Martinot, Jean-Luc, Mataix-Cols, David, Mather, Karen, McDonald, Colm, McMahon, Katie L, Medland, Sarah E, Menchón, José M, Morris, Derek W, Mothersill, Omar, Maniega, Susana Munoz, and Mwangi, Benson

Subjects
Brain, Humans, Magnetic Resonance Imaging, Organ Size, Aging, Sex Characteristics, Quantitative Trait, Heritable, Adolescent, Adult, Aged, Middle Aged, Female, Male, Functional Laterality, Meta-Analysis as Topic, Young Adult, Age, Enigma, Handedness, Heritability, Meta-analysis, Sex, Subcortical brain asymmetry, Quantitative Trait, Heritable, Medical and Health Sciences, Psychology and Cognitive Sciences, Experimental Psychology
Abstract

The two hemispheres of the human brain differ functionally and structurally. Despite over a century of research, the extent to which brain asymmetry is influenced by sex, handedness, age, and genetic factors is still controversial. Here we present the largest ever analysis of subcortical brain asymmetries, in a harmonized multi-site study using meta-analysis methods. Volumetric asymmetry of seven subcortical structures was assessed in 15,847 MRI scans from 52 datasets worldwide. There were sex differences in the asymmetry of the globus pallidus and putamen. Heritability estimates, derived from 1170 subjects belonging to 71 extended pedigrees, revealed that additive genetic factors influenced the asymmetry of these two structures and that of the hippocampus and thalamus. Handedness had no detectable effect on subcortical asymmetries, even in this unprecedented sample size, but the asymmetry of the putamen varied with age. Genetic drivers of asymmetry in the hippocampus, thalamus and basal ganglia may affect variability in human cognition, including susceptibility to psychiatric disorders.

Published
2017

29. Beyond the Global Brain Differences: Intraindividual Variability Differences in 1q21.1 Distal and 15q11.2 BP1-BP2 Deletion Carriers

Author

Onderzoeksgroep 1, Boen, Rune, Kaufmann, Tobias, van der Meer, Dennis, Frei, Oleksandr, Agartz, Ingrid, Ames, David, Andersson, Micael, Armstrong, Nicola J., Artiges, Eric, Atkins, Joshua R., Bauer, Jochen, Benedetti, Francesco, Boomsma, Dorret I., Brodaty, Henry, Brosch, Katharina, Buckner, Randy L., Cairns, Murray J., Calhoun, Vince, Caspers, Svenja, Cichon, Sven, Corvin, Aiden P., Crespo-Facorro, Benedicto, Dannlowski, Udo, David, Friederike S., de Geus, Eco J.C., de Zubicaray, Greig I., Desrivières, Sylvane, Doherty, Joanne L., Donohoe, Gary, Ehrlich, Stefan, Eising, Else, Espeseth, Thomas, Fisher, Simon E., Forstner, Andreas J., Fortaner-Uyà, Lidia, Frouin, Vincent, Fukunaga, Masaki, Ge, Tian, Glahn, David C., Goltermann, Janik, Grabe, Hans J., Green, Melissa J., Groenewold, Nynke A., Grotegerd, Dominik, Grøntvedt, Gøril Rolfseng, Hahn, Tim, Hashimoto, Ryota, Hehir-Kwa, Jayne Y., Ophoff, Roel A., van Haren, Neeltje E.M., ENIGMA-CNV Working Group, Onderzoeksgroep 1, Boen, Rune, Kaufmann, Tobias, van der Meer, Dennis, Frei, Oleksandr, Agartz, Ingrid, Ames, David, Andersson, Micael, Armstrong, Nicola J., Artiges, Eric, Atkins, Joshua R., Bauer, Jochen, Benedetti, Francesco, Boomsma, Dorret I., Brodaty, Henry, Brosch, Katharina, Buckner, Randy L., Cairns, Murray J., Calhoun, Vince, Caspers, Svenja, Cichon, Sven, Corvin, Aiden P., Crespo-Facorro, Benedicto, Dannlowski, Udo, David, Friederike S., de Geus, Eco J.C., de Zubicaray, Greig I., Desrivières, Sylvane, Doherty, Joanne L., Donohoe, Gary, Ehrlich, Stefan, Eising, Else, Espeseth, Thomas, Fisher, Simon E., Forstner, Andreas J., Fortaner-Uyà, Lidia, Frouin, Vincent, Fukunaga, Masaki, Ge, Tian, Glahn, David C., Goltermann, Janik, Grabe, Hans J., Green, Melissa J., Groenewold, Nynke A., Grotegerd, Dominik, Grøntvedt, Gøril Rolfseng, Hahn, Tim, Hashimoto, Ryota, Hehir-Kwa, Jayne Y., Ophoff, Roel A., van Haren, Neeltje E.M., and ENIGMA-CNV Working Group

Published
2024

30. Beyond the Global Brain Differences:Intraindividual Variability Differences in 1q21.1 Distal and 15q11.2 BP1-BP2 Deletion Carriers

Author

Boen, Rune, Kaufmann, Tobias, van der Meer, Dennis, Frei, Oleksandr, Agartz, Ingrid, Ames, David, Andersson, Micael, Armstrong, Nicola J., Artiges, Eric, Atkins, Joshua R., Bauer, Jochen, Benedetti, Francesco, Boomsma, Dorret I., Brodaty, Henry, Brosch, Katharina, Buckner, Randy L., Cairns, Murray J., Calhoun, Vince, Caspers, Svenja, Cichon, Sven, Corvin, Aiden P., Crespo-Facorro, Benedicto, Dannlowski, Udo, David, Friederike S., de Geus, Eco J.C., de Zubicaray, Greig I., Desrivières, Sylvane, Doherty, Joanne L., Donohoe, Gary, Ehrlich, Stefan, Eising, Else, Espeseth, Thomas, Fisher, Simon E., Forstner, Andreas J., Fortaner-Uyà, Lidia, Frouin, Vincent, Fukunaga, Masaki, Ge, Tian, Glahn, David C., Goltermann, Janik, Grabe, Hans J., Green, Melissa J., Groenewold, Nynke A., Grotegerd, Dominik, Grøntvedt, Gøril Rolfseng, Hahn, Tim, Hashimoto, Ryota, Hehir-Kwa, Jayne Y., Henskens, Frans A., Holmes, Avram J., Håberg, Asta K., Haavik, Jan, Jacquemont, Sebastien, Jansen, Andreas, Jockwitz, Christiane, Jönsson, Erik G., Kikuchi, Masataka, Kircher, Tilo, Kumar, Kuldeep, Le Hellard, Stephanie, Leu, Costin, Linden, David E., Liu, Jingyu, Loughnan, Robert, Mather, Karen A., McMahon, Katie L., McRae, Allan F., Medland, Sarah E., Meinert, Susanne, Moreau, Clara A., Morris, Derek W., Mowry, Bryan J., Mühleisen, Thomas W., Nenadić, Igor, Nöthen, Markus M., Nyberg, Lars, Ophoff, Roel A., Owen, Michael J., Pantelis, Christos, Paolini, Marco, Paus, Tomas, Pausova, Zdenka, Persson, Karin, Quidé, Yann, Marques, Tiago Reis, Sachdev, Perminder S., Sando, Sigrid B., Schall, Ulrich, Scott, Rodney J., Selbæk, Geir, Shumskaya, Elena, Silva, Ana I., Sisodiya, Sanjay M., Stein, Frederike, Stein, Dan J., Straube, Benjamin, Streit, Fabian, Strike, Lachlan T., Teumer, Alexander, Teutenberg, Lea, Thalamuthu, Anbupalam, Tooney, Paul A., Tordesillas-Gutierrez, Diana, Trollor, Julian N., van ’t Ent, Dennis, van den Bree, Marianne B.M., van Haren, Neeltje E.M., Vázquez-Bourgon, Javier, Völzke, Henry, Wen, Wei, Wittfeld, Katharina, Ching, Christopher R.K., Westlye, Lars T., Thompson, Paul M., Bearden, Carrie E., Selmer, Kaja K., Alnæs, Dag, Andreassen, Ole A., Sønderby, Ida E., Boen, Rune, Kaufmann, Tobias, van der Meer, Dennis, Frei, Oleksandr, Agartz, Ingrid, Ames, David, Andersson, Micael, Armstrong, Nicola J., Artiges, Eric, Atkins, Joshua R., Bauer, Jochen, Benedetti, Francesco, Boomsma, Dorret I., Brodaty, Henry, Brosch, Katharina, Buckner, Randy L., Cairns, Murray J., Calhoun, Vince, Caspers, Svenja, Cichon, Sven, Corvin, Aiden P., Crespo-Facorro, Benedicto, Dannlowski, Udo, David, Friederike S., de Geus, Eco J.C., de Zubicaray, Greig I., Desrivières, Sylvane, Doherty, Joanne L., Donohoe, Gary, Ehrlich, Stefan, Eising, Else, Espeseth, Thomas, Fisher, Simon E., Forstner, Andreas J., Fortaner-Uyà, Lidia, Frouin, Vincent, Fukunaga, Masaki, Ge, Tian, Glahn, David C., Goltermann, Janik, Grabe, Hans J., Green, Melissa J., Groenewold, Nynke A., Grotegerd, Dominik, Grøntvedt, Gøril Rolfseng, Hahn, Tim, Hashimoto, Ryota, Hehir-Kwa, Jayne Y., Henskens, Frans A., Holmes, Avram J., Håberg, Asta K., Haavik, Jan, Jacquemont, Sebastien, Jansen, Andreas, Jockwitz, Christiane, Jönsson, Erik G., Kikuchi, Masataka, Kircher, Tilo, Kumar, Kuldeep, Le Hellard, Stephanie, Leu, Costin, Linden, David E., Liu, Jingyu, Loughnan, Robert, Mather, Karen A., McMahon, Katie L., McRae, Allan F., Medland, Sarah E., Meinert, Susanne, Moreau, Clara A., Morris, Derek W., Mowry, Bryan J., Mühleisen, Thomas W., Nenadić, Igor, Nöthen, Markus M., Nyberg, Lars, Ophoff, Roel A., Owen, Michael J., Pantelis, Christos, Paolini, Marco, Paus, Tomas, Pausova, Zdenka, Persson, Karin, Quidé, Yann, Marques, Tiago Reis, Sachdev, Perminder S., Sando, Sigrid B., Schall, Ulrich, Scott, Rodney J., Selbæk, Geir, Shumskaya, Elena, Silva, Ana I., Sisodiya, Sanjay M., Stein, Frederike, Stein, Dan J., Straube, Benjamin, Streit, Fabian, Strike, Lachlan T., Teumer, Alexander, Teutenberg, Lea, Thalamuthu, Anbupalam, Tooney, Paul A., Tordesillas-Gutierrez, Diana, Trollor, Julian N., van ’t Ent, Dennis, van den Bree, Marianne B.M., van Haren, Neeltje E.M., Vázquez-Bourgon, Javier, Völzke, Henry, Wen, Wei, Wittfeld, Katharina, Ching, Christopher R.K., Westlye, Lars T., Thompson, Paul M., Bearden, Carrie E., Selmer, Kaja K., Alnæs, Dag, Andreassen, Ole A., and Sønderby, Ida E.

Abstract

BACKGROUND: Carriers of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants exhibit regional and global brain differences compared with noncarriers. However, interpreting regional differences is challenging if a global difference drives the regional brain differences. Intraindividual variability measures can be used to test for regional differences beyond global differences in brain structure. METHODS: Magnetic resonance imaging data were used to obtain regional brain values for 1q21.1 distal deletion (n = 30) and duplication (n = 27) and 15q11.2 BP1-BP2 deletion (n = 170) and duplication (n = 243) carriers and matched noncarriers (n = 2350). Regional intra-deviation scores, i.e., the standardized difference between an individual’s regional difference and global difference, were used to test for regional differences that diverge from the global difference. RESULTS: For the 1q21.1 distal deletion carriers, cortical surface area for regions in the medial visual cortex, posterior cingulate, and temporal pole differed less and regions in the prefrontal and superior temporal cortex differed more than the global difference in cortical surface area. For the 15q11.2 BP1-BP2 deletion carriers, cortical thickness in regions in the medial visual cortex, auditory cortex, and temporal pole differed less and the prefrontal and somatosensory cortex differed more than the global difference in cortical thickness. CONCLUSIONS: We find evidence for regional effects beyond differences in global brain measures in 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants. The results provide new insight into brain profiling of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants, with the potential to increase understanding of the mechanisms involved in altered neurodevelopment.

Published
2024

31. Nonlinear functional mapping of the human brain

Author

Allgaier, Nicholas, Banaschewski, Tobias, Barker, Gareth, Bokde, Arun L. W., Bongard, Josh C., Bromberg, Uli, Büchel, Christian, Cattrell, Anna, Conrod, Patricia J., Danforth, Christopher M., Desrivières, Sylvane, Dodds, Peter S., Flor, Herta, Frouin, Vincent, Gallinat, Jürgen, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Mackey, Scott, Martinot, Jean-Luc, Murphy, Kevin, Nees, Frauke, Papadopoulos-Orfanos, Dimitri, Poustka, Luise, Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Garavan, Hugh, and Consortium, IMAGEN

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Neural and Evolutionary Computing
Abstract

The field of neuroimaging has truly become data rich, and novel analytical methods capable of gleaning meaningful information from large stores of imaging data are in high demand. Those methods that might also be applicable on the level of individual subjects, and thus potentially useful clinically, are of special interest. In the present study, we introduce just such a method, called nonlinear functional mapping (NFM), and demonstrate its application in the analysis of resting state fMRI from a 242-subject subset of the IMAGEN project, a European study of adolescents that includes longitudinal phenotypic, behavioral, genetic, and neuroimaging data. NFM employs a computational technique inspired by biological evolution to discover and mathematically characterize interactions among ROI (regions of interest), without making linear or univariate assumptions. We show that statistics of the resulting interaction relationships comport with recent independent work, constituting a preliminary cross-validation. Furthermore, nonlinear terms are ubiquitous in the models generated by NFM, suggesting that some of the interactions characterized here are not discoverable by standard linear methods of analysis. We discuss one such nonlinear interaction in the context of a direct comparison with a procedure involving pairwise correlation, designed to be an analogous linear version of functional mapping. We find another such interaction that suggests a novel distinction in brain function between drinking and non-drinking adolescents: a tighter coupling of ROI associated with emotion, reward, and interoceptive processes such as thirst, among drinkers. Finally, we outline many improvements and extensions of the methodology to reduce computational expense, complement other analytical tools like graph-theoretic analysis, and allow for voxel level NFM to eliminate the necessity of ROI selection., Comment: 21 pages, 12 figures, and 1 table

Published
2015

32. Neural Correlates of Adolescent Irritability and Its Comorbidity With Psychiatric Disorders

Author

Rapp, Dr. Michael, Artiges, Dr. Eric, Schneider, Sophia, Bach, Christine, Paus, Dr. Tomas, Barbot, Alexis, Barker, Dr. Gareth, Bokde, Dr. Arun, Vetter, Dr. Nora, Büchel, Dr. Christian, Cattrell, Dr. Anna, Constant, Patrick, Gowland, Penny, Crombag, Dr. Hans, Czech, Katharina, Dalley, Dr. Jeffrey, Decideur, Benjamin, Spranger, Tade, Ripley, Dr. Tamzin, Heym, Dr. Nadja, Flor, Herta, Sommer, Dr. Wolfgang, Fuchs, Birgit, Gallinat, Dr. Jürgen, Garavan, Dr. Hugh, Spanagel, Dr. Rainer, Kaviani, Mehri, Heinrichs, Dr. Bert, Heinz, Dr. Andreas, Subramaniam, Naresh, Jia, Dr. Tianye, Ihlenfeld, Albrecht, Ireland, James, Ittermann, Dr. Bernd, Conrod, Dr. Patricia, Banaschewski, Dr. Tobias, Jones, Jennifer, Klaassen, Dr. Arno, Lalanne, Christophe, Lanzerath, Dr. Dirk, Lawrence, Dr. Claire, Lemaitre, Dr. Hervé, Desrivieres, Dr. Sylvane, Mallik, Catherine, Mann, Dr. Karl, Mar, Dr. Adam, Martinez-Medina, Lourdes, Martinot, Dr. Jean-Luc, Mennigen, Eva, Mesquita de Carvahlo, Dr. Fabiana, Schwartz, Yannick, Bruehl, Dr. Ruediger, Müller, Kathrin, Nees, Frauke, Nymberg, Charlotte, Lathrop, Dr. Mark, Robbins, Dr. Trevor, Pausova, Dr. Zdenka, Pentilla, Dr. Jani, Biondo, Dr. Francesca, Poline, Dr. Jean-Baptiste, Poustka, Dr. Luise, Millenet, Sabina, Smolka, Dr. Michael, Fröhner, Juliane, Struve, Dr. Maren, Williams, Dr. Steve, Hübner, Dr. Thomas, Bromberg, Uli, Aydin, Semiha, Rogers, John, Romanowski, Alexander, Schmäl, Dr. Christine, Schmidt, Dirk, Ripke, Stephan, Arroyo, Dr. Mercedes, Schubert, Dr. Florian, Pena-Oliver, Dr. Yolanda, Fauth-Bühler, Mira, Mignon, Xavier, Whelan, Dr. Robert, Speiser, Dr. Claudia, Fadai, Tahmine, Stephens, Dr. Dai, Ströhle, Dr. Andreas, Paillere, Dr. Marie-Laure, Strache, Nicole, Theobald, David, Jurk, Sarah, Vulser, Dr. Helene, Miranda, Ruben, Yacubilin, Dr. Juliana, Frouin, Vincent, Genauck, Alexander, Parchetka, Caroline, Gemmeke, Isabel, Kruschwitz, Johann, Weiss, Katharina, Walter, Dr. Henrik, Feng, Jianfeng, Papadopoulos, Dimitri, Filippi, Irina, Ing, Alex, Ruggeri, Dr. Barbara, Xu, Bing, Macare, Christine, Chu, Dr. Congying, Hanratty, Eanna, Burke Quinlan, Dr. Erin, Robert, Dr. Gabriel, Schumann, Dr. Gunter, Yu, Dr. Tao, Ziesch, Veronika, Stedman, Alicia, Chaarani, Bader, Kan, Kees-Jan, Mackey, Scott, Spechler, Philip A., Potter, Alexandra, Banaschewski, Tobias, Bokde, Arun L.W., Büchel, Christian, Cattrell, Anna, Conrod, Patricia J., Desrivières, Sylvane, Gallinat, Jürgen, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Paus, Tomáš, Poustka, Luise, Smolka, Michael N., Walter, Henrik, Whelan, Robert, Stringaris, Argyris, Higgins, Stephen T., Schumann, Gunter, Garavan, Hugh, and Althoff, Robert R.

Published
2020
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33. Cannabis-Associated Psychotic-like Experiences Are Mediated by Developmental Changes in the Parahippocampal Gyrus

Author

Rapp, Michael, Artiges, Eric, Schneider, Sophia, Bach, Christine, Paus, Tomas, Barbot, Alexis, Barker, Gareth, Bokde, Arun, Vetter, Nora, Büchel, Christian, Cattrell, Anna, Constant, Patrick, Gowland, Penny, Crombag, Hans, Czech, Katharina, Dalley, Jeffrey, Decideur, Benjamin, Spranger, Tade, Ripley, Tamzin, Heym, Nadja, Flor, Herta, Sommer, Wolfgang, Fuchs, Birgit, Gallinat, Jürgen, Garavan, Hugh, Spanagel, Rainer, Kaviani, Mehri, Heinrichs, Bert, Heinz, Andreas, Subramaniam, Naresh, Jia, Tianye, Ihlenfeld, Albrecht, Delosis, James Ireland, Ittermann, Bernd, Conrod, Patricia, Banaschewski, Tobias, Jones, Jennifer, Klaassen, Arno, Lalanne, Christophe, Lanzerath, Dirk, Lawrence, Claire, Lemaitre, Hervé, Desrivieres, Sylvane, Mallik, Catherine, Mann, Karl, Mar, Adam, Martinez-Medina, Lourdes, Martinot, Jean-Luc, Mennigen, Eva, de Carvahlo, Fabiana Mesquita, Schwartz, Yannick, Bruehl, Ruediger, Müller, Kathrin, Nees, Frauke, Nymberg, Charlotte, Lathrop, Mark, Robbins, Trevor, Pausova, Zdenka, Pentilla, Jani, Biondo, Francesca, Poline, Jean-Baptiste, Hohmann, Sarah, Poustka, Luise, Millenet, Sabina, Smolka, Michael, Fröhner, Juliane, Struve, Maren, Williams, Steve, Hübner, Thomas, Bromberg, Uli, Aydin, Semiha, Rogers, John, Romanowski, Alexander, Schmäl, Christine, Schmidt, Dirk, Ripke, Stephan, Arroyo, Mercedes, Schubert, Florian, Pena-Oliver, Yolanda, Fauth-Bühler, Mira, Mignon, Xavier, Whelan, Robert, Speiser, Claudia, Fadai, Tahmine, Stephens, Dai, Ströhle, Andreas, Paillere, Marie-Laure, Strache, Nicole, Theobald, David, Jurk, Sarah, Vulser, Helene, Miranda, Ruben, Yacubilin, Juliana, Frouin, Vincent, Genauck, Alexander, Parchetka, Caroline, Gemmeke, Isabel, Kruschwitz, Johann, WeiB, Katharina, Walter, Henrik, Feng, Jianfeng, Papadopoulos, Dimitri, Filippi, Irina, Ing, Alex, Ruggeri, Barbara, Xu, Bing, Macare, Christine, Chu, Congying, Hanratty, Eanna, Quinlan, Erin Burke, Robert, Gabriel, Schumann, Gunter, Yu, Tao, Ziesch, Veronika, Stedman, Alicia, Zhu, Liping, Desrivières, Sylvane, Bi, Yan, Bokde, Arun L.W., Liu, ChuanXin, Ji, Lei, Ren, Decheng, Du, Li, Hou, Binyin, Paillère Martinot, Marie-Laure, Orfanos, Dimitri Papadopoulos, Luo, Qiang, Smolka, Michael N., Vetter, Nora C., Lei, Cai, Fröhner, Juliane H., He, Guang, and He, Lin

Published
2020
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34. Sex effects on structural maturation of the limbic system and outcomes on emotional regulation during adolescence

Author

Frere, Pauline Bezivin, Vetter, Nora C., Artiges, Eric, Filippi, Irina, Miranda, Rubén, Vulser, Hélène, Paillère-Martinot, Marie-Laure, Ziesch, Veronika, Conrod, Patricia, Cattrell, Anna, Walter, Henrik, Gallinat, Jurgen, Bromberg, Uli, Jurk, Sarah, Menningen, Eva, Frouin, Vincent, Papadopoulos Orfanos, Dimitri, Stringaris, Argyris, Penttilä, Jani, van Noort, Betteke, Grimmer, Yvonne, Schumann, Gunter, Smolka, Michael N., Martinot, Jean-Luc, and Lemaître, Hervé

Published
2020
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35. 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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36. Predictive support recovery with TV-Elastic Net penalty and logistic regression: an application to structural MRI

Author

Dubois, Mathieu, Hadj-Selem, Fouad, Lofstedt, Tommy, Perrot, Matthieu, Fischer, Clara, Frouin, Vincent, and Duchesnay, Edouard

Subjects
Statistics - Machine Learning
Abstract

The use of machine-learning in neuroimaging offers new perspectives in early diagnosis and prognosis of brain diseases. Although such multivariate methods can capture complex relationships in the data, traditional approaches provide irregular (l2 penalty) or scattered (l1 penalty) predictive pattern with a very limited relevance. A penalty like Total Variation (TV) that exploits the natural 3D structure of the images can increase the spatial coherence of the weight map. However, TV penalization leads to non-smooth optimization problems that are hard to minimize. We propose an optimization framework that minimizes any combination of l1, l2, and TV penalties while preserving the exact l1 penalty. This algorithm uses Nesterov's smoothing technique to approximate the TV penalty with a smooth function such that the loss and the penalties are minimized with an exact accelerated proximal gradient algorithm. We propose an original continuation algorithm that uses successively smaller values of the smoothing parameter to reach a prescribed precision while achieving the best possible convergence rate. This algorithm can be used with other losses or penalties. The algorithm is applied on a classification problem on the ADNI dataset. We observe that the TV penalty does not necessarily improve the prediction but provides a major breakthrough in terms of support recovery of the predictive brain regions.

Published
2014

38. Distinct brain structure and behavior related to ADHD and conduct disorder traits

Author

Bayard, Frida, Nymberg Thunell, Charlotte, Abé, Christoph, Almeida, Rita, Banaschewski, Tobias, Barker, Gareth, Bokde, Arun L. W., Bromberg, Uli, Büchel, Christian, Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Frouin, Vincent, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Conrod, Patricia, Stringaris, Argyris, Struve, Maren, Penttilä, Jani, Kappel, Viola, Grimmer, Yvonne, Fadai, Tahmine, van Noort, Betteke, Smolka, Michael N., Vetter, Nora C., Walter, Henrik, Whelan, Robert, Schumann, Gunter, and Petrovic, Predrag

Published
2020
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39. Identification of neurobehavioural symptom groups based on shared brain mechanisms

Author

Ing, Alex, Sämann, Philipp G., Chu, Congying, Tay, Nicole, Biondo, Francesca, Robert, Gabriel, Jia, Tianye, Wolfers, Thomas, Desrivières, Sylvane, Banaschewski, Tobias, Bokde, Arun L. W., Bromberg, Uli, Büchel, Christian, Conrod, Patricia, Fadai, Tahmine, Flor, Herta, Frouin, Vincent, Garavan, Hugh, Spechler, Philip A., Gowland, Penny, Grimmer, Yvonne, Heinz, Andreas, Ittermann, Bernd, Kappel, Viola, Martinot, Jean-Luc, Meyer-Lindenberg, Andreas, Millenet, Sabina, Nees, Frauke, van Noort, Betteke, Orfanos, Dimitri Papadopoulos, Martinot, Marie-Laure Paillère, Penttilä, Jani, Poustka, Luise, Quinlan, Erin Burke, Smolka, Michael N., Stringaris, Argyris, Struve, Maren, Veer, Ilya M., Walter, Henrik, Whelan, Robert, Andreassen, Ole A., Agartz, Ingrid, Lemaitre, Hervé, Barker, Edward D., Ashburner, John, Binder, Elisabeth, Buitelaar, Jan, Marquand, Andre, Robbins, Trevor W., and Schumann, Gunter

Published
2019
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40. PyXNAT: XNAT in Python

Author

Schwartz, Yannick, Barbot, Alexis, Thyreau, Benjamin, Frouin, Vincent, Varoquaux, Gaël, Siram, Aditya, Marcus, Daniel, and Poline, Jean-Baptiste

Subjects
Computer Science - Databases, Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Quantitative Methods
Abstract

As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages to automate data management and processing tasks. For this, a structured and programmatic access to the data store is necessary. Web services are a first step toward this goal. They however lack in functionality and ease of use because they provide only low level interfaces to databases. We introduce here PyXNAT, a Python module that interacts with The Extensible Neuroimaging Archive Toolkit (XNAT) through native Python calls across multiple operating systems. The choice of Python enables PyXNAT to expose the XNAT Web Services and unify their features with a higher level and more expressive language. PyXNAT provides XNAT users direct access to all the scientific packages in Python. Finally PyXNAT aims to be efficient and easy to use, both as a backend library to build XNAT clients and as an alternative frontend from the command line.

Published
2013
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41. Neuroimaging Evidence for Right Orbitofrontal Cortex Differences in Adolescents With Emotional and Behavioral Dysregulation

Author

Banaschewski, Tobias, Barker, Gareth, Bokde, Arun L.W., Bromberg, Uli, Büchel, Christian, Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Frouin, Vincent, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Paillère Martinot, Marie-Laure, Artiges, Eric, Lemaitre, Herve, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Smolka, Michael N., Vetter, Nora C., Jurk, Sarah, Mennigen, Eva, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Spechler, Philip A., Chaarani, Bader, Orr, Catherine, Mackey, Scott, Higgins, Stephen T., Conrod, Patricia J., Fröhner, Juliane H., and Althoff, Robert R.

Published
2019
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42. Low Smoking Exposure, the Adolescent Brain, and the Modulating Role of CHRNA5 Polymorphisms

Author

Mann, Karl, Struve, Maren, Rietschel, Marcella, Spanagel, Rainer, Fauth-Bühler, Mira, Millenet, Sabina, Grimmer, Yvonne, Ivanov, Nikolay, Strache, Nicole, Rapp, Michael, Ströhle, Andreas, Reuter, Jan, Barbot, Alexis, Thyreau, Benjamin, Schwartz, Yannick, Lalanne, Christophe, Bricaud, Zuleima, Briand, Fanny Gollier, Lemaitre, Hervé, Massicotte, Jessica, Vulser, Helene, Pentillä, Jani, Galinowski, André, Jia, Tianye, Werts, Helen, Topper, Lauren, Reed, Laurence, Andrew, Chris, Mallik, Catherine, Ruggeri, Barbara, Nymberg, Charlotte, Smith, Lindsay, Loth, Eva, Havatzias, Stephanie, Stueber, Kerstin, Stringaris, Argyris, Constant, Patrick, Brühl, Ruediger, Ihlenfeld, Albrecht, Walaszek, Bernadeta, Hübner, Thomas, Müller, Kathrin, Ripke, Stephan, Rodehacke, Sarah, Mennigen, Eva, Schmidt, Dirk, Vetter, Nora, Ziesch, Veronika, Jones, Jennifer, Poline, Jean-Baptiste, Fadai, Tahmine, Yacubian, Juliana, Schneider, Sophia, Lawrence, Claire, Newman, Craig, Head, Kay, Heym, Nadja, Pausova, Zdenka, Tahmasebi, Amir, Chaarani, Bader, Kan, Kees-Jan, Mackey, Scott, Spechler, Philip A., Potter, Alexandra, Orr, Catherine, D’Alberto, Nicholas, Hudson, Kelsey E., Banaschewski, Tobias, Bokde, Arun L.W., Bromberg, Uli, Büchel, Christian, Cattrell, Anna, Conrod, Patricia J., Desrivières, Sylvane, Flor, Herta, Frouin, Vincent, Gallinat, Jürgen, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Nees, Frauke, Papadopoulos-Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Smolka, Michael N., Walter, Henrik, Whelan, Robert, Higgins, Stephen T., Schumann, Gunter, Althoff, Robert R., Stein, Elliot A., and Garavan, Hugh

Published
2019
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44. Neural Correlates of Failed Inhibitory Control as an Early Marker of Disordered Eating in Adolescents

Author

Rapp, Michael, Artiges, Eric, Schneider, Sophia, Bach, Christine, Paus, Tomas, Barbot, Alexis, Gareth Barker, Bokde, Arun, Vetter, Nora, Büchel, Christian, Cattrell, Anna, Constant, Patrick, Gowland, Penny, Crombag, Hans, Czech, Katharina, Dalley, Jeffrey, Decideur, Benjamin, Spranger, Tade, Ripley, Tamzin, Heym, Nadja, Flor, Herta, Sommer, Wolfgang, Fuchs, Birgit, Gallinat, Jürgen, Spanagel, Rainer, Kaviani, Mehri, Heinrichs, Bert, Andreas Heinz, Subramaniam, Naresh, Jia, Tianye, Ihlenfeld, Albrecht, Ireland, James, Ittermann, Bernd, Conrod, Patricia, Banaschewski, Tobias, Jones, Jennifer, Klaassen, Arno, Lalanne, Christophe, Lanzerath, Dirk, Lawrence, Claire, Lemaitre, Hervé, Desrivieres, Sylvane, Mallik, Catherine, Karl Mann, Mar, Adam, Martinez-Medina, Lourdes, Jean-Luc Martinot, Mennigen, Eva, Mesquita de Carvahlo, Fabiana, Schwartz, Yannick, Bruehl, Ruediger, Müller, Kathrin, Nees, Frauke, Nymberg, Charlotte, Lathrop, Mark, Trevor Robbins, Pausova, Zdenka, Jani Pentilla, Biondo, Francesca, Jean-Baptiste Poline, Hohmann, Sarah, Poustka, Luise, Millenet, Sabina, Michael Smolka, Fröhner, Juliane, Struve, Maren, Steve Williams, Hübner, Thomas, Bromberg, Uli, Aydin, Semiha, Rogers, John, Romanowski, Alexander, Schmäl, Christine, Schmidt, Dirk, Ripke, Stephan, Arroyo, Mercedes, Schubert, Florian, Pena-Oliver, Yolanda, Fauth-Bühler, Mira, Mignon, Xavier, Whelan, Robert, Speiser, Claudia, Fadai, Tahmine, Dai Stephens, Ströhle, Andreas, Paillere, Marie-Laure, Strache, Nicole, Theobald, David, Jurk, Sarah, Vulser, Helene, Miranda, Ruben, Yacubian, Juliana, Frouin, Vincent, Genauck, Alexander, Parchetka, Caroline, Gemmeke, Isabel, Kruschwitz, Johann, Weiß, Katharina, Walter, Henrik, Feng, Jianfeng, Papadopoulos, Dimitri, Filippi, Irina, Ing, Alex, Ruggeri, Barbara, Xu, Bing, Macare, Christine, Chu, Congying, Hanratty, Eanna, Burke Quinlan, Erin, Robert, Gabriel, Schumann, Gunter, Yu, Tao, Ziesch, Veronika, Stedman, Alicia, Bartholdy, Savani, O’Daly, Owen G., Campbell, Iain C., Barker, Gareth, Bokde, Arun L.W., Quinlan, Erin Burke, Desrivières, Sylvane, Garavan, Hugh, Heinz, Andreas, Martinot, Jean-Luc, Paillère Martinot, Marie-Laure, Orfanos, Dimitri Papadopoulos, Fröhner, Juliane H., Smolka, Michael N., and Schmidt, Ulrike

Published
2019
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45. 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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46. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Author

Thompson, Paul M, Stein, Jason L, Medland, Sarah E, Hibar, Derrek P, Vasquez, Alejandro Arias, Renteria, Miguel E, Toro, Roberto, Jahanshad, Neda, Schumann, Gunter, Franke, Barbara, Wright, Margaret J, Martin, Nicholas G, Agartz, Ingrid, Alda, Martin, Alhusaini, Saud, Almasy, Laura, Almeida, Jorge, Alpert, Kathryn, Andreasen, Nancy C, Andreassen, Ole A, Apostolova, Liana G, Appel, Katja, Armstrong, Nicola J, Aribisala, Benjamin, Bastin, Mark E, Bauer, Michael, Bearden, Carrie E, Bergmann, Ørjan, Binder, Elisabeth B, Blangero, John, Bockholt, Henry J, Bøen, Erlend, Bois, Catherine, Boomsma, Dorret I, Booth, Tom, Bowman, Ian J, Bralten, Janita, Brouwer, Rachel M, Brunner, Han G, Brohawn, David G, Buckner, Randy L, Buitelaar, Jan, Bulayeva, Kazima, Bustillo, Juan R, Calhoun, Vince D, Cannon, Dara M, Cantor, Rita M, Carless, Melanie A, Caseras, Xavier, Cavalleri, Gianpiero L, Chakravarty, M Mallar, Chang, Kiki D, Ching, Christopher RK, Christoforou, Andrea, Cichon, Sven, Clark, Vincent P, Conrod, Patricia, Coppola, Giovanni, Crespo-Facorro, Benedicto, Curran, Joanne E, Czisch, Michael, Deary, Ian J, de Geus, Eco JC, den Braber, Anouk, Delvecchio, Giuseppe, Depondt, Chantal, de Haan, Lieuwe, de Zubicaray, Greig I, Dima, Danai, Dimitrova, Rali, Djurovic, Srdjan, Dong, Hongwei, Donohoe, Gary, Duggirala, Ravindranath, Dyer, Thomas D, Ehrlich, Stefan, Ekman, Carl Johan, Elvsåshagen, Torbjørn, Emsell, Louise, Erk, Susanne, Espeseth, Thomas, Fagerness, Jesen, Fears, Scott, Fedko, Iryna, Fernández, Guillén, Fisher, Simon E, Foroud, Tatiana, Fox, Peter T, Francks, Clyde, Frangou, Sophia, Frey, Eva Maria, Frodl, Thomas, Frouin, Vincent, Garavan, Hugh, Giddaluru, Sudheer, Glahn, David C, Godlewska, Beata, Goldstein, Rita Z, Gollub, Randy L, and Grabe, Hans J

Subjects
Biological Psychology, Health Sciences, Psychology, Biomedical Imaging, Neurosciences, Brain Disorders, Schizophrenia, Mental Illness, Mental Health, Genetics, Human Genome, 2.1 Biological and endogenous factors, Mental health, Neurological, Good Health and Well Being, Brain Mapping, Cooperative Behavior, Genome-Wide Association Study, Humans, Meta-Analysis as Topic, Neuroimaging, MRI, GWAS, Consortium, Meta-analysis, Multi-site, Alzheimer’s Disease Neuroimaging Initiative, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study (SYS) Group, Medical and Health Sciences, Psychology and Cognitive Sciences, Experimental Psychology, Biomedical and clinical sciences, Health sciences
Abstract

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.

Published
2014

47. A neurobiological pathway to smoking in adolescence: TTC12-ANKK1-DRD2 variants and reward response

Author

Macare, Christine, Ducci, Francesca, Zhang, Yuning, Ruggeri, Barbara, Jia, Tianye, Kaakinen, Marika, Kalsi, Gursharan, Charoen, Pimphen, Casoni, Filippo, Peters, Jan, Bromberg, Uli, Hill, Matthew, Buxton, Jessica, Blakemore, Alexandra, Veijola, Juha, Büchel, Christian, Banaschewski, Tobias, Bokde, Arun L.W., Conrod, Patricia, Flor, Herta, Frouin, Vincent, Gallinat, Jürgen, Garavan, Hugh, Gowland, Penny A., Heinz, Andreas, Ittermann, Bernd, Lathrop, Mark, Martinot, Jean-Luc, Paus, Tomáš, Desrivières, Sylvane, Munafò, Marcus, Järvelin, Marjo-Riitta, and Schumann, Gunter

Published
2018
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49. Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology

Author

O'Halloran, Laura, Cao, Zhipeng, Ruddy, Kathy, Jollans, Lee, Albaugh, Matthew D., Aleni, Andrea, Potter, Alexandra S., Vahey, Nigel, Banaschewski, Tobias, Hohmann, Sarah, Bokde, Arun L.W., Bromberg, Uli, Büchel, Christian, Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Frouin, Vincent, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Smolka, Michael N., Walter, Henrik, Schumann, Gunter, Garavan, Hugh, Kelly, Clare, and Whelan, Robert

Published
2018
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