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203. Dynamic Modelling of Mental Resilience in Young Adults: Protocol for a Longitudinal Observational Study (DynaM-OBS)

Author

Wackerhagen, Carolin, primary, Veer, Ilya M, additional, van Leeuwen, Judith M C, additional, Reppmann, Zala, additional, Riepenhausen, Antje, additional, Bögemann, Sophie A, additional, Mor, Netali, additional, Puhlmann, Lara M C, additional, Uściƚko, Aleksandra, additional, Zerban, Matthias, additional, Mituniewicz, Julian, additional, Lerner, Avigail, additional, Yuen, Kenneth S L, additional, Köber, Göran, additional, Marciniak, Marta A, additional, Pooseh, Shakoor, additional, Weermeijer, Jeroen, additional, Arias-Vásquez, Alejandro, additional, Binder, Harald, additional, de Raedt, Walter, additional, Kleim, Birgit, additional, Myin-Germeys, Inez, additional, Roelofs, Karin, additional, Timmer, Jens, additional, Tüscher, Oliver, additional, Hendler, Talma, additional, Kobylińska, Dorota, additional, Hermans, Erno J, additional, Kalisch, Raffael, additional, and Walter, Henrik, additional

Published
2023
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212. Impact of a Common Genetic Variation Associated With Putamen Volume on Neural Mechanisms of Attention-Deficit/Hyperactivity Disorder

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, Xu, Bing, Jia, Tianye, Macare, Christine, Cattrell, Anna, Conrod, Patricia J., and Gallinat, Jürgen

Published
2017
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214. Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents

Author

Kühn, Simone, Mascherek, Anna, Banaschewski, Tobias, Bokde, Arun L. W., Büchel, Christian, Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Millenet, Sabina, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Lindenberger, Ulman, and Gallinat, Jürgen

Published
2020
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216. Author Correction: Child sexual offenders show prenatal and epigenetic alterations of the androgen system

Author

Kruger, Tillmann H. C., Sinke, Christopher, Kneer, Jonas, Tenbergen, Gilian, Khan, Abdul Qayyum, Burkert, Alexandra, Müller-Engling, Linda, Engler, Harald, Gerwinn, Hannah, von Wurmb-Schwark, Nicole, Pohl, Alexander, Weiß, Simone, Amelung, Till, Mohnke, Sebastian, Massau, Claudia, Kärgel, Christian, Walter, Martin, Schiltz, Kolja, Beier, Klaus M., Ponseti, Jorge, Schiffer, Boris, Walter, Henrik, Jahn, Kirsten, and Frieling, Helge

Published
2019
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217. Neurocognitive Analysis of Low-level Arsenic Exposure and Executive Function Mediated by Brain Anomalies Among Children, Adolescents, and Young Adults in India

Author

Vaidya, Nilakshi, Holla, Bharath, Heron, Jon, Sharma, Eesha, Zhang, Yuning, Fernandes, Gwen, Iyengar, Udita, Spiers, Alex, Yadav, Anupa, Das, Surajit, Roy, Sanjit, Ahuja, Chirag K, Barker, Gareth J, Basu, Debasish, Bharath, Rose Dawn, Hickman, Matthew, Jain, Sanjeev, Kalyanram, Kartik, Kartik, Kamakshi, Krishna, Murali, Krishnaveni, Ghattu, Kumaran, Kalyanaraman, Kuriyan, Rebecca, Murthy, Pratima, Papadopoulos Orfanos, Dimitri, Purushottam, Meera, Kurpad, Sunita Simon, Singh, Lenin, Singh, Roshan, Subodh, B N, Toledano, Mireille, Walter, Henrik, Desrivières, Sylvane, Chakrabarti, Amit, Benegal, Vivek, and Schumann, Gunter

Subjects
Male, Cohort Studies, Young Adult, Executive Function, Brain Diseases, Cross-Sectional Studies, Adolescent, Humans, Brain/pathology, Child, Arsenic
Abstract

IMPORTANCE: Arsenic, a contaminant of groundwater and irrigated crops, is a global public health hazard. Exposure to low levels of arsenic through food extends well beyond the areas with high arsenic content in water.OBJECTIVE: To identify cognitive impairments following commonly prevalent low-level arsenic exposure and characterize their underlying brain mechanisms.DESIGN, SETTING, AND PARTICIPANTS: This multicenter population-based cohort study analyzed cross-sectional data of the Indian Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA) cohort, recruited between November 4, 2016, and May 4, 2019. Participants aged 6 to 23 years were characterized using deep phenotyping measures of behavior, neuropsychology, psychopathology, brain neuroimaging, and exposure to developmental adversities and environmental neurotoxins. All analyses were performed between June 1, 2020, and December 31, 2021.EXPOSURE: Arsenic levels were measured in urine as an index of exposure.MAIN OUTCOMES AND MEASURES: Executive function measured using the cVEDA neuropsychological battery, gray matter volume (GMV) from T1-weighted magnetic resonance imaging, and functional network connectivity measures from resting state functional magnetic resonance imaging.RESULTS: A total of 1014 participants aged 6 to 23 years (589 male [58.1%]; mean [SD] age, 14.86 [4.79] years) were included from 5 geographic locations. Sparse-partial least squares analysis was used to describe a negative association of arsenic exposure with executive function (r = -0.12 [P = 5.4 × 10-4]), brain structure (r = -0.20 [P = 1.8 × 10-8]), and functional connectivity (within network, r = -0.12 [P = 7.5 × 10-4]; between network, r = -0.23 [P = 1.8 × 10-10]). Alterations in executive function were partially mediated by GMV (b = -0.004 [95% CI, -0.007 to -0.002]) and within-network functional connectivity (b = -0.004 [95% CI, -0.008 to -0.002]). Socioeconomic status and body mass index moderated the association between arsenic and GMV, such that the association was strongest in participants with lower socioeconomic status and body mass index.CONCLUSIONS AND RELEVANCE: The findings of this cross-sectional study suggest that low-level arsenic exposure was associated with alterations in executive functioning and underlying brain correlates. These results indicate potential detrimental consequences of arsenic exposure that are below the currently recommended guidelines and may extend beyond endemic risk areas. Precision medicine approaches to study global mental health vulnerabilities highlight widespread but potentially modifiable risk factors and a mechanistic understanding of the impact of low-level arsenic exposure on brain development.

Published
2023

218. Human cortex development is shaped by molecular and cellular brain systems

Author

Lotter, Leon D., Saberi, Amin, Hansen, Justine Y., Misic, Bratislav, Barker, Gareth J., Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Paillère, Marie-Laure, Artiges, Eric, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Nees, Frauke, Banaschewski, Tobias, Eickhoff, Simon B., Dukart, Juergen, and IMAGEN Consortium

Subjects
Article
Abstract

Human brain morphology undergoes complex developmental changes with diverse regional trajectories. Various biological factors influence cortical thickness development, but human data are scarce. Building on methodological advances in neuroimaging of large cohorts, we show that population-based developmental trajectories of cortical thickness unfold along patterns of molecular and cellular brain organization. During childhood and adolescence, distributions of dopaminergic receptors, inhibitory neurons, glial cell populations as well as features of brain metabolism explain up to 50% of variance associated with regional cortical thickness trajectories. Cortical maturation patterns in later life are best explained by distributions of cholinergic and glutamatergic systems. These observations are validated in longitudinal data from over 8,000 adolescents, explaining up to 59% of developmental change at population- and 18% at single-subject level. Integrating multilevel brain atlases with normative modeling and population neuroimaging provides a biologically and clinically meaningful path to understand typical and atypical brain development in living humans.

Published
2023

221. White matter network alterations in patients with depersonalization/derealization disorder

Author

Sierk, Anika, Daniels, Judith K., Manthey, Antje, Kok, Jelmer G., Leemans, Alexander, Gaebler, Michael, Lamke, Jan-Peter, Kruschwitz, Johann, and Walter, Henrik

Subjects
Brain -- Physiological aspects, Neural circuitry -- Health aspects, Depersonalization -- Physiological aspects, Health, Psychology and mental health
Abstract

Background: Depersonalization/derealization disorder (DPD) is a chronic and distressing condition characterized by detachment from oneself and/or the external world. Neuroimaging studies have associated DPD with structural and functional alterations in a variety of distinct brain regions. Such local neuronal changes might be mediated by altered interregional white matter connections. However, to our knowledge, no research on network characteristics in this patient population exists to date. Methods: We explored the structural connectome in 23 individuals with DPD and 23 matched, healthy controls by applying graph theory to diffusion tensor imaging data. Mean interregional fractional anisotropy (FA) was used to define the network weights. Group differences were assessed using network-based statistics and a link-based controlling procedure. Results: Our main finding refers to lower FA values within left temporal and right temporoparietal regions in individuals with DPD than in healthy controls when using a link-based controlling procedure. These links were also associated with dissociative symptom severity and could not be explained by anxiety or depression scores. Using network-based statistics, no significant results emerged. However, we found a trend for 1 subnetwork that may support the model of frontolimbic dysbalance suggested to underlie DPD symptomatology. Limitations: To ensure ecological validity, patients with certain comorbidities or psychotropic medication were included in the study. Confirmatory replications are necessary to corroborate the results of this explorative investigation. Conclusion: In patients with DPD, the structural connectivity between brain regions crucial for multimodal integration and emotion regulation may be altered. Aberrations in fibre tract communication seem to be not solely a secondary effect of local grey matter volume loss, but may present a primary pathophysiology in patients with DPD., Introduction Depersonalization/derealization disorder (DPD) is a dissociative disorder (1) estimated to affect 1%-2% of the general population. (2) However, a German study found a 12-month prevalence of 0.007 based on [...]

Published
2018
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223. Uncontrolled eating and sensation-seeking partially explain the prediction of future binge drinking from adolescent brain structure

Author

Rane, Roshan Prakash, primary, Musial, Milena Philomena Maria, additional, Beck, Anne, additional, rapp, michael, additional, Schlagenhauf, Florian, additional, Banaschewski, Tobias, additional, Bokde, Arun L. W., additional, Martinot, Marie-Laure Paillère, additional, Artiges, Eric, additional, Nees, Frauke, additional, Lemaitre, Herve, additional, Hohmann, Sarah, additional, Schumann, Gunter, additional, Walter, Henrik, additional, Heinz, Andreas, additional, and Ritter, Kerstin, additional

Published
2023
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224. Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria

Author

Hemforth, Lisa, primary, Cury, Claire, additional, Frouin, Vincent, additional, Desrivières, Sylvane, additional, Grigis, Antoine, additional, Garavan, Hugh, additional, Brühl, Rüdiger, additional, Martinot, Jean-Luc, additional, Paillère Martinot, Marie-Laure, additional, Artiges, Eric, additional, Poustka, Luise, additional, Hohmann, Sarah, additional, Millenet, Sabina, additional, Vaidya, Nilakshi, additional, Walter, Henrik, additional, Whelan, Robert, additional, Schumann, Gunter, additional, Couvy-Duchesne, Baptiste, additional, and Colliot, Olivier, additional

Published
2023
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225. Conduct problems are associated with accelerated thinning of emotion-related cortical regions in a community-based sample of adolescents

Author

Albaugh, Matthew D., primary, Hudziak, James. J., additional, Spechler, Philip A., additional, Chaarani, Bader, additional, Lepage, Claude, additional, Jeon, Seun, additional, Rioux, Pierre, additional, Evans, Alan C., additional, Banaschewski, Tobias, additional, Bokde, Arun L.W., additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Gowland, Penny, additional, Heinz, Andreas, additional, Ittermann, Bernd, additional, Martinot, Jean-Luc, additional, Martinot, Marie-Laure Paillère, additional, Nees, Frauke, additional, Orfanos, Dimitri Papadopoulos, additional, Poustka, Luise, additional, Millenet, Sabina, additional, Fröhner, Juliane H., additional, Smolka, Michael N., additional, Walter, Henrik, additional, Whelan, Robert, additional, Schumann, Gunter, additional, Potter, Alexandra S., additional, and Garavan, Hugh, additional

Published
2023
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226. A biologically informed polygenic score of neuronal plasticity moderates the association between cognitive aptitudes and cortical thickness in adolescents

Author

Navarri, Xavier, primary, Vosberg, Daniel E., additional, Shin, Jean, additional, Richer, Louis, additional, Leonard, Gabriel, additional, Pike, G. Bruce, additional, Banaschewski, Tobias, additional, Bokde, Arun L.W., additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Grigis, Antoine, additional, Garavan, Hugh, additional, Gowland, Penny, 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, Poustka, Luise, additional, Hohmann, Sarah, additional, Fröhner, Juliane H., additional, Smolka, Michael N., additional, Vaidya, Nilakshi, additional, Walter, Henrik, additional, Whelan, Robert, additional, Schumann, Gunter, additional, Pausova, Zdenka, additional, and Paus, Tomáš, additional

Published
2023
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227. ReApp – an mHealth app increasing reappraisal: results from two randomized controlled trials

Author

Marciniak, Marta Anna, primary, Shanahan, Lilly, additional, Myin-Germeys, Inez, additional, Veer, Ilya, additional, Yuen, Kenneth S.L., additional, Binder, Harald, additional, Walter, Henrik, additional, Hermans, Erno, additional, Kobylinska, Dorota, additional, Tüscher, Oliver, additional, Kalisch, Raffael, additional, and Kleim, Birgit, additional

Published
2023
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228. Psychological Resilience Factors and Their Association With Weekly Stressor Reactivity During the COVID-19 Outbreak in Europe: Prospective Longitudinal Study (Preprint)

Author

Bögemann, Sophie A, primary, Puhlmann, Lara M C, additional, Wackerhagen, Carolin, additional, Zerban, Matthias, additional, Riepenhausen, Antje, additional, Köber, Göran, additional, Yuen, Kenneth S L, additional, Pooseh, Shakoor, additional, Marciniak, Marta A, additional, Reppmann, Zala, additional, Uściƚko, Aleksandra, additional, Weermeijer, Jeroen, additional, Lenferink, Dionne B, additional, Mituniewicz, Julian, additional, Robak, Natalia, additional, Donner, Nina C, additional, Mestdagh, Merijn, additional, Verdonck, Stijn, additional, van Dick, Rolf, additional, Kleim, Birgit, additional, Lieb, Klaus, additional, van Leeuwen, Judith M C, additional, Kobylińska, Dorota, additional, Myin-Germeys, Inez, additional, Walter, Henrik, additional, Tüscher, Oliver, additional, Hermans, Erno J, additional, Veer, Ilya M, additional, and Kalisch, Raffael, additional

Published
2023
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230. Self-report assessment of Positive Appraisal Style (PAS): development of a process-focused and a content-focused questionnaire for use in mental health and resilience research

Author

Petri-Romão, Papoula, primary, Engen, Haakon, additional, Rupanova, Anna, additional, Puhlmann, Lara, additional, Zerban, Matthias, additional, Neumann, Rebecca J, additional, Malishau, Aliaksandr, additional, Ahrens, Kira Florence, additional, Schick, Anita, additional, Kollmann, Bianca, additional, Walter, Henrik, additional, Plichta, Michael, additional, Reif, Andreas, additional, Chmitorz, Andrea, additional, Tüscher, Oliver, additional, Basten, Ulrike, additional, and Kalisch, Raffael, additional

Published
2023
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231. The resilience framework as a strategy to combat stress-related disorders

Author

Kalisch, Raffael, Baker, Dewleen G., Basten, Ulrike, Boks, Marco P., Bonanno, George A., Brummelman, Eddie, Chmitorz, Andrea, Fernàndez, Guillén, Fiebach, Christian J., Galatzer-Levy, Isaac, Geuze, Elbert, Groppa, Sergiu, Helmreich, Isabella, Hendler, Talma, Hermans, Erno J., Jovanovic, Tanja, Kubiak, Thomas, Lieb, Klaus, Lutz, Beat, Müller, Marianne B., Murray, Ryan J., Nievergelt, Caroline M., Reif, Andreas, Roelofs, Karin, Rutten, Bart P. F., Sander, David, Schick, Anita, Tüscher, Oliver, Diest, Ilse Van, Harmelen, Anne-Laura van, Veer, Ilya M., Vermetten, Eric, Vinkers, Christiaan H., Wager, Tor D., Walter, Henrik, Wessa, Michèle, Wibral, Michael, and Kleim, Birgit

Published
2017
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232. Drinking motives, personality traits and life stressors-identifying pathways to harmful alcohol use in adolescence using a panel network approach

Author

Freichel, René, Pfirrmann, Janine, Cousjin, Janna, de Jong, Peter, Franken, Ingmar, Banaschewski, Tobias, Bokde, Arun L W, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Heinz, Andreas, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H, Smolka, Michael N, Vaidya, Nilakshi, Whelan, Robert, Schumann, Gunter, Walter, Henrik, Veer, Ilya M, Wiers, Reinout W, Consortium, IMAGEN, Freichel, René, Pfirrmann, Janine, Cousjin, Janna, de Jong, Peter, Franken, Ingmar, Banaschewski, Tobias, Bokde, Arun L W, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Heinz, Andreas, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H, Smolka, Michael N, Vaidya, Nilakshi, Whelan, Robert, Schumann, Gunter, Walter, Henrik, Veer, Ilya M, Wiers, Reinout W, and Consortium, IMAGEN

Abstract

BACKGROUND AND AIMS: Models of alcohol use risk suggest that drinking motives represent the most proximal risk factors on which more distal factors converge. However, little is known about how distinct risk factors influence each other and alcohol use on different temporal scales (within a given moment versus over time). We aimed to estimate the dynamic associations of distal (personality and life stressors) and proximal (drinking motives) risk factors, and their relationship to alcohol use in adolescence and early adulthood using a novel graphical vector autoregressive (GVAR) panel network approach. DESIGN, SETTING AND CASES: We estimated panel networks on data from the IMAGEN study, a longitudinal European cohort study following adolescents across three waves (aged 16, 19 and 22 years). Our sample consisted of 1829 adolescents (51% females) who reported alcohol use on at least one assessment wave. MEASUREMENTS: Risk factors included personality traits (NEO-FFI: neuroticism, extraversion, openness, agreeableness and conscientiousness; SURPS: impulsivity and sensation-seeking), stressful life events (LEQ: sum scores of stressful life events), and drinking motives [drinking motives questionnaire (DMQ): social, enhancement, conformity, coping anxiety and coping depression]. We assessed alcohol use [alcohol use disorders identification test (AUDIT): quantity and frequency] and alcohol-related problems (AUDIT: related problems). FINDINGS: Within a given moment, social [partial correlation (pcor) = 0.17] and enhancement motives (pcor = 0.15) co-occurred most strongly with drinking quantity and frequency, while coping depression motives (pcor = 0.13), openness (pcor = 0.05) and impulsivity (pcor = 0.09) were related to alcohol-related problems. The temporal network showed no predictive associations between distal risk factors and drinking motives. Social motives (beta = 0.21), previous alcohol use

Published
2023

233. Are we equally at risk of changing smoking behavior during a public health crisis? Impact of educational level on smoking from the TEMPO cohort

Author

Andersen, A, Hecker, I, Wallez, S, Witteveen, A, Lora, A, Mittendorfer-Rutz, E, Corrao, G, Walter, H, Haro, J, Sijbrandij, M, Compagnoni, M, Felez-Nobrega, M, Kalisch, R, Bryant, R, Melchior, M, Mary-Krause, M, Andersen, Astrid Juhl, Hecker, Irwin, Wallez, Solène, Witteveen, Anke, Lora, Antonio, Mittendorfer-Rutz, Ellenor, Corrao, Giovanni, Walter, Henrik, Haro, Josep Maria, Sijbrandij, Marit, Compagnoni, Matteo Monzio, Felez-Nobrega, Mireia, Kalisch, Raffael, Bryant, Richard, Melchior, Maria, Mary-Krause, Murielle, Andersen, A, Hecker, I, Wallez, S, Witteveen, A, Lora, A, Mittendorfer-Rutz, E, Corrao, G, Walter, H, Haro, J, Sijbrandij, M, Compagnoni, M, Felez-Nobrega, M, Kalisch, R, Bryant, R, Melchior, M, Mary-Krause, M, Andersen, Astrid Juhl, Hecker, Irwin, Wallez, Solène, Witteveen, Anke, Lora, Antonio, Mittendorfer-Rutz, Ellenor, Corrao, Giovanni, Walter, Henrik, Haro, Josep Maria, Sijbrandij, Marit, Compagnoni, Matteo Monzio, Felez-Nobrega, Mireia, Kalisch, Raffael, Bryant, Richard, Melchior, Maria, and Mary-Krause, Murielle

Abstract

Background: The COVID-19 pandemic as a public health crisis has led to a significant increase in mental health difficulties. Smoking is strongly associated with mental health conditions, which is why the pandemic might have influenced the otherwise decline in smoking rates. Persons belonging to socioeconomically disadvantaged groups may be particularly affected, both because the pandemic has exacerbated existing social inequalities and because this group was more likely to smoke before the pandemic. We examined smoking prevalence in a French cohort study, focusing on differences between educational attainment. In addition, we examined the association between interpersonal changes in tobacco consumption and educational level from 2018 to 2021. Methods: Using four assessments of smoking status available from 2009 to 2021, we estimated smoking prevalence over time, stratified by highest educational level in the TEMPO cohort and the difference was tested using chi2 test. We studied the association between interpersonal change in smoking status between 2018 and 2021 and educational attainment among 148 smokers, using multinomial logistic regression. Results: Smoking prevalence was higher among those with low education. The difference between the two groups increased from 2020 to 2021 (4.8–9.4%, p < 0.001). Smokers with high educational level were more likely to decrease their tobacco consumption from 2018 to 2021 compared to low educated smokers (aOR = 2.72 [1.26;5.89]). Conclusion: Current findings showed a widening of the social inequality gap in relation to smoking rates, underscoring the increased vulnerability of persons with low educational level to smoking and the likely inadequate focus on social inequalities in relation to tobacco control policies during the pandemic.

Published
2023

234. Ethnic discrimination unlearned: experience in the repeated Trust Game reduces trust bias

Author

Duncan, Caitlin, Tölch, Ulf, Walter, Henrik, Dziobek, Isabel, Duncan, Caitlin, Tölch, Ulf, Walter, Henrik, and Dziobek, Isabel

Abstract

Introduction Discrimination toward ethnic minorities is a persistent societal problem. One reason behind this is a bias in trust: people tend to trust their ingroup and comparatively distrust outgroups. Methods In this study, we investigated whether and how people change their explicit trust bias with respect to ethnicity based on behavioral interactions with in- and outgroup members in a modified Trust Game. Results Subjects’ initial explicit trust bias disappeared after the game. The change was largest for ingroup members who behaved unfairly, and the reduction of trust bias generalized to a small sample of new in- and outgroup members. Reinforcement learning models showed subjects’ learning was best explained by a model with only one learning rate, indicating that subjects learned from trial outcomes and partner types equally during investment. Discussion We conclude that subjects can reduce bias through simple learning, in particular by learning that ingroup members can behave unfairly., Peer Reviewed

Published
2023

235. A biologically informed polygenic score of neuronal plasticity moderates the association between cognitive aptitudes and cortical thickness in adolescents

Author

Navarri, Xavier, Vosberg, Daniel E., Shin, Jean, Richer, Louis, Leonard, Gabriel, Pike, G. Bruce, 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, Orfanos, Dimitri Papadopoulos, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Pausova, Zdenka, Paus, Tomáš, Navarri, Xavier, Vosberg, Daniel E., Shin, Jean, Richer, Louis, Leonard, Gabriel, Pike, G. Bruce, 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, Orfanos, Dimitri Papadopoulos, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Pausova, Zdenka, and Paus, Tomáš

Abstract

Although many studies of the adolescent brain identified positive associations between cognitive abilities and cortical thickness, little is known about mechanisms underlying such brain-behavior relationships. With experience-induced plasticity playing an important role in shaping the cerebral cortex throughout life, it is likely that some of the inter-individual variations in cortical thickness could be explained by genetic variations in relevant molecular processes, as indexed by a polygenic score of neuronal plasticity (PGS-NP). Here, we studied associations between PGS-NP, cognitive abilities, and thickness of the cerebral cortex, estimated from magnetic resonance images, in the Saguenay Youth Study (SYS, 533 females, 496 males: age=15.0 ± 1.8 years of age; cross-sectional), and the IMAGEN Study (566 females, 556 males; between 14 and 19 years; longitudinal). Using Gene Ontology, we first identified 199 genes implicated in neuronal plasticity, which mapped to 155,600 single nucleotide polymorphisms (SNPs). Second, we estimated their effect sizes from an educational attainment meta-GWAS to build a PGS-NP. Third, we examined a possible moderating role of PGS-NP in the relationship between performance intelligence quotient (PIQ), and its subtests, and the thickness of 34 cortical regions. In SYS, we observed a significant interaction between PGS-NP and object assembly vis-à-vis thickness in male adolescents (p = 0.026). A median-split analysis showed that, in males with a ‘high’ PGS-NP, stronger associations between object assembly and thickness were found in regions with larger age-related changes in thickness (r = 0.55, p = 0.00075). Although the interaction between PIQ and PGS-NP was non-significant (p = 0.064), we performed a similar median-split analysis. Again, in the high PGS-NP males, positive associations between PIQ and thickness were observed in regions with larger age-related changes in thickness (r = 0.40, p = 0.018). In the IMAGEN cohort, we did not r

Published
2023
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236. Coping with COVID: risk and resilience factors for mental health in a German representative panel study

Author

Riepenhausen, A, Veer, I, Wackerhagen, C, Reppmann, Z, Köber, G, Ayuso-Mateos, J, Bögemann, S, Corrao, G, Felez-Nobrega, M, Abad, J, Hermans, E, van Leeuwen, J, Lieb, K, Lorant, V, Mary-Krause, M, Mediavilla, R, Melchior, M, Mittendorfer-Rutz, E, Monzio Compagnoni, M, Pan, K, Puhlmann, L, Roelofs, K, Sijbrandij, M, Smith, P, Tüscher, O, Witteveen, A, Zerban, M, Kalisch, R, Kröger, H, Walter, H, Riepenhausen, Antje, Veer, Ilya M., Wackerhagen, Carolin, Reppmann, Zala C., Köber, Göran, Ayuso-Mateos, José Luis, Bögemann, Sophie A., Corrao, Giovanni, Felez-Nobrega, Mireia, Abad, Josep Maria Haro, Hermans, Erno, van Leeuwen, Judith, Lieb, Klaus, Lorant, Vincent, Mary-Krause, Murielle, Mediavilla, Roberto, Melchior, Maria, Mittendorfer-Rutz, Ellenor, Monzio Compagnoni, Matteo, Pan, Kuan-Yu, Puhlmann, Lara, Roelofs, Karin, Sijbrandij, Marit, Smith, Pierre, Tüscher, Oliver, Witteveen, Anke, Zerban, Matthias, Kalisch, Raffael, Kröger, Hannes, Walter, Henrik, Riepenhausen, A, Veer, I, Wackerhagen, C, Reppmann, Z, Köber, G, Ayuso-Mateos, J, Bögemann, S, Corrao, G, Felez-Nobrega, M, Abad, J, Hermans, E, van Leeuwen, J, Lieb, K, Lorant, V, Mary-Krause, M, Mediavilla, R, Melchior, M, Mittendorfer-Rutz, E, Monzio Compagnoni, M, Pan, K, Puhlmann, L, Roelofs, K, Sijbrandij, M, Smith, P, Tüscher, O, Witteveen, A, Zerban, M, Kalisch, R, Kröger, H, Walter, H, Riepenhausen, Antje, Veer, Ilya M., Wackerhagen, Carolin, Reppmann, Zala C., Köber, Göran, Ayuso-Mateos, José Luis, Bögemann, Sophie A., Corrao, Giovanni, Felez-Nobrega, Mireia, Abad, Josep Maria Haro, Hermans, Erno, van Leeuwen, Judith, Lieb, Klaus, Lorant, Vincent, Mary-Krause, Murielle, Mediavilla, Roberto, Melchior, Maria, Mittendorfer-Rutz, Ellenor, Monzio Compagnoni, Matteo, Pan, Kuan-Yu, Puhlmann, Lara, Roelofs, Karin, Sijbrandij, Marit, Smith, Pierre, Tüscher, Oliver, Witteveen, Anke, Zerban, Matthias, Kalisch, Raffael, Kröger, Hannes, and Walter, Henrik

Abstract

Background: The COVID-19 pandemic might affect mental health. Data from population-representative panel surveys with multiple waves including pre-COVID data investigating risk and protective factors are still rare. Methods: In a stratified random sample of the German household population (n=6,684), we conducted survey-weighted multiple linear regressions to determine the association of various psychological risk and protective factors assessed between 2015 and 2020 with changes in psychological distress (PD; measured via PHQ-4) from pre-pandemic (average of 2016 and 2019) to peri-pandemic (both 2020 and 2021) time points. Control analyses on PD change between two pre-pandemic time points (2016 and 2019) were conducted. Regularized regressions were computed to inform on which factors were statistically most influential in the multicollinear setting. Results: PHQ-4 scores in 2020 (M=2.45) and 2021 (M=2.21) were elevated compared to 2019 (M=1.79). Several risk factors (catastrophizing, neuroticism, asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, optimism) were identified for the peri-pandemic outcomes. Control analyses revealed that in pre-pandemic times, neuroticism and optimism were predominantly related to PD changes. Regularized regression mostly confirmed the results and highlighted perceived stress recovery as most consistent influential protective factor across peri-pandemic outcomes. Conclusions: We identified several psychological risk and protective factors related to PD outcomes during the COVID-19 pandemic. Comparison to pre-pandemic data stress the relevance of longitudinal assessments to potentially reconcile contradictory findings. Implications and suggestions for targeted prevention and intervention programs during highly stressful times such as pandemics are discussed.

Published
2023

237. Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium

Author

MGGZ, Brain, Zhu, Xi, Kim, Yoojean, Ravid, Orren, He, Xiaofu, Suarez-Jimenez, Benjamin, Zilcha-Mano, Sigal, Lazarov, Amit, Lee, Seonjoo, Abdallah, Chadi G., Angstadt, Michael, Averill, Christopher L., Baird, C. Lexi, Baugh, Lee A., Blackford, Jennifer U., Bomyea, Jessica, Bruce, Steven E., Bryant, Richard A., Cao, Zhihong, Choi, Kyle, Cisler, Josh, Cotton, Andrew S., Daniels, Judith K., Davenport, Nicholas D., Davidson, Richard J., DeBellis, Michael D., Dennis, Emily L., Densmore, Maria, deRoon-Cassini, Terri, Disner, Seth G., Hage, Wissam El, Etkin, Amit, Fani, Negar, Fercho, Kelene A., Fitzgerald, Jacklynn, Forster, Gina L., Frijling, Jessie L., Geuze, Elbert, Gonenc, Atilla, Gordon, Evan M., Gruber, Staci, Grupe, Daniel W., Guenette, Jeffrey P., Haswell, Courtney C., Herringa, Ryan J., Herzog, Julia, Hofmann, David Bernd, Hosseini, Bobak, Hudson, Anna R., Huggins, Ashley A., Ipser, Jonathan C., Jahanshad, Neda, Jia-Richards, Meilin, Jovanovic, Tanja, Kaufman, Milissa L., Kennis, Mitzy, King, Anthony, Kinzel, Philipp, Koch, Saskia B.J., Koerte, Inga K., Koopowitz, Sheri M., Korgaonkar, Mayuresh S., Krystal, John H., Lanius, Ruth, Larson, Christine L., Lebois, Lauren A.M., Li, Gen, Liberzon, Israel, Lu, Guang Ming, Luo, Yifeng, Magnotta, Vincent A., Manthey, Antje, Maron-Katz, Adi, May, Geoffery, McLaughlin, Katie, Mueller, Sven C., Nawijn, Laura, Nelson, Steven M., Neufeld, Richard W.J., Nitschke, Jack B., O'Leary, Erin M., Olatunji, Bunmi O., Olff, Miranda, Peverill, Matthew, Phan, K. Luan, Qi, Rongfeng, Quidé, Yann, Rektor, Ivan, Ressler, Kerry, Riha, Pavel, Ross, Marisa, Rosso, Isabelle M., Salminen, Lauren E., Sambrook, Kelly, Schmahl, Christian, Shenton, Martha E., Sheridan, Margaret, Shih, Chiahao, Sicorello, Maurizio, Sierk, Anika, Simmons, Alan N., Simons, Raluca M., Simons, Jeffrey S., Sponheim, Scott R., Stein, Murray B., Stein, Dan J., Stevens, Jennifer S., Straube, Thomas, Sun, Delin, Théberge, Jean, Thompson, Paul M., Thomopoulos, Sophia I., van der Wee, Nic J.A., van der Werff, Steven J.A., van Erp, Theo G.M., van Rooij, Sanne J.H., van Zuiden, Mirjam, Varkevisser, Tim, Veltman, Dick J., Vermeiren, Robert R.J.M., Walter, Henrik, Wang, Li, Wang, Xin, Weis, Carissa, Winternitz, Sherry, Xie, Hong, Zhu, Ye, Wall, Melanie, Neria, Yuval, Morey, Rajendra A., MGGZ, Brain, Zhu, Xi, Kim, Yoojean, Ravid, Orren, He, Xiaofu, Suarez-Jimenez, Benjamin, Zilcha-Mano, Sigal, Lazarov, Amit, Lee, Seonjoo, Abdallah, Chadi G., Angstadt, Michael, Averill, Christopher L., Baird, C. Lexi, Baugh, Lee A., Blackford, Jennifer U., Bomyea, Jessica, Bruce, Steven E., Bryant, Richard A., Cao, Zhihong, Choi, Kyle, Cisler, Josh, Cotton, Andrew S., Daniels, Judith K., Davenport, Nicholas D., Davidson, Richard J., DeBellis, Michael D., Dennis, Emily L., Densmore, Maria, deRoon-Cassini, Terri, Disner, Seth G., Hage, Wissam El, Etkin, Amit, Fani, Negar, Fercho, Kelene A., Fitzgerald, Jacklynn, Forster, Gina L., Frijling, Jessie L., Geuze, Elbert, Gonenc, Atilla, Gordon, Evan M., Gruber, Staci, Grupe, Daniel W., Guenette, Jeffrey P., Haswell, Courtney C., Herringa, Ryan J., Herzog, Julia, Hofmann, David Bernd, Hosseini, Bobak, Hudson, Anna R., Huggins, Ashley A., Ipser, Jonathan C., Jahanshad, Neda, Jia-Richards, Meilin, Jovanovic, Tanja, Kaufman, Milissa L., Kennis, Mitzy, King, Anthony, Kinzel, Philipp, Koch, Saskia B.J., Koerte, Inga K., Koopowitz, Sheri M., Korgaonkar, Mayuresh S., Krystal, John H., Lanius, Ruth, Larson, Christine L., Lebois, Lauren A.M., Li, Gen, Liberzon, Israel, Lu, Guang Ming, Luo, Yifeng, Magnotta, Vincent A., Manthey, Antje, Maron-Katz, Adi, May, Geoffery, McLaughlin, Katie, Mueller, Sven C., Nawijn, Laura, Nelson, Steven M., Neufeld, Richard W.J., Nitschke, Jack B., O'Leary, Erin M., Olatunji, Bunmi O., Olff, Miranda, Peverill, Matthew, Phan, K. Luan, Qi, Rongfeng, Quidé, Yann, Rektor, Ivan, Ressler, Kerry, Riha, Pavel, Ross, Marisa, Rosso, Isabelle M., Salminen, Lauren E., Sambrook, Kelly, Schmahl, Christian, Shenton, Martha E., Sheridan, Margaret, Shih, Chiahao, Sicorello, Maurizio, Sierk, Anika, Simmons, Alan N., Simons, Raluca M., Simons, Jeffrey S., Sponheim, Scott R., Stein, Murray B., Stein, Dan J., Stevens, Jennifer S., Straube, Thomas, Sun, Delin, Théberge, Jean, Thompson, Paul M., Thomopoulos, Sophia I., van der Wee, Nic J.A., van der Werff, Steven J.A., van Erp, Theo G.M., van Rooij, Sanne J.H., van Zuiden, Mirjam, Varkevisser, Tim, Veltman, Dick J., Vermeiren, Robert R.J.M., Walter, Henrik, Wang, Li, Wang, Xin, Weis, Carissa, Winternitz, Sherry, Xie, Hong, Zhu, Ye, Wall, Melanie, Neria, Yuval, and Morey, Rajendra A.

Published
2023

238. Independent contribution of polygenic risk for schizophrenia and cannabis use in predicting psychotic-like experiences in young adulthood: Testing gene × environment moderation and mediation

Author

Hersenen-Medisch 1, TN groep Adan, Onderzoeksgroep 2, Onderzoek, Brain, Neurogenetica, Elkrief, Laurent, Lin, Bochao, Marchi, Mattia, Afzali, Mohammad H., Banaschewski, Tobias, Bokde, Arun L.W., Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean Luc, Martinot, Marie Laure Paillère, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Luykx, Jurjen, Boks, Marco P., Conrod, Patricia J., Hersenen-Medisch 1, TN groep Adan, Onderzoeksgroep 2, Onderzoek, Brain, Neurogenetica, Elkrief, Laurent, Lin, Bochao, Marchi, Mattia, Afzali, Mohammad H., Banaschewski, Tobias, Bokde, Arun L.W., Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean Luc, Martinot, Marie Laure Paillère, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Luykx, Jurjen, Boks, Marco P., and Conrod, Patricia J.

Published
2023

239. Psychological Resilience Factors and Their Association With Weekly Stressor Reactivity During the COVID-19 Outbreak in Europe: Prospective Longitudinal Study

Author

Bögemann, Sophie A; https://orcid.org/0000-0001-9382-0769, Puhlmann, Lara M C; https://orcid.org/0000-0002-0870-8770, Wackerhagen, Carolin; https://orcid.org/0000-0002-5689-3472, Zerban, Matthias; https://orcid.org/0000-0002-2684-3271, Riepenhausen, Antje; https://orcid.org/0000-0001-8749-5349, Köber, Göran; https://orcid.org/0000-0001-7038-0860, Yuen, Kenneth S L; https://orcid.org/0000-0002-9465-9070, Pooseh, Shakoor; https://orcid.org/0000-0002-5441-9507, Marciniak, Marta Anna; https://orcid.org/0000-0003-4301-3269, Reppmann, Zala; https://orcid.org/0000-0001-8633-9651, Uściƚko, Aleksandra; https://orcid.org/0000-0002-0001-7190, Weermeijer, Jeroen; https://orcid.org/0000-0002-6288-795X, Lenferink, Dionne B; https://orcid.org/0009-0009-1699-8315, Mituniewicz, Julian; https://orcid.org/0000-0002-9717-5784, Robak, Natalia; https://orcid.org/0000-0002-5482-3745, Donner, Nina C; https://orcid.org/0000-0003-0548-1408, Mestdagh, Merijn; https://orcid.org/0000-0001-5077-861X, Verdonck, Stijn; https://orcid.org/0000-0002-2199-1072, van Dick, Rolf; https://orcid.org/0000-0002-6308-9466, Kleim, Birgit; https://orcid.org/0000-0001-9114-2917, Lieb, Klaus; https://orcid.org/0000-0002-9609-4261, van Leeuwen, Judith M C; https://orcid.org/0000-0001-7105-0038, Kobylińska, Dorota; https://orcid.org/0000-0003-0184-2595, Myin-Germeys, Inez; https://orcid.org/0000-0002-3731-4930, Walter, Henrik; https://orcid.org/0000-0002-9403-6121, Tüscher, Oliver; https://orcid.org/0000-0002-4023-5301, Hermans, Erno J; https://orcid.org/0000-0003-1339-8639, Veer, Ilya M; https://orcid.org/0000-0002-6733-3593, Kalisch, Raffael; https://orcid.org/0000-0002-9503-7601, Bögemann, Sophie A; https://orcid.org/0000-0001-9382-0769, Puhlmann, Lara M C; https://orcid.org/0000-0002-0870-8770, Wackerhagen, Carolin; https://orcid.org/0000-0002-5689-3472, Zerban, Matthias; https://orcid.org/0000-0002-2684-3271, Riepenhausen, Antje; https://orcid.org/0000-0001-8749-5349, Köber, Göran; https://orcid.org/0000-0001-7038-0860, Yuen, Kenneth S L; https://orcid.org/0000-0002-9465-9070, Pooseh, Shakoor; https://orcid.org/0000-0002-5441-9507, Marciniak, Marta Anna; https://orcid.org/0000-0003-4301-3269, Reppmann, Zala; https://orcid.org/0000-0001-8633-9651, Uściƚko, Aleksandra; https://orcid.org/0000-0002-0001-7190, Weermeijer, Jeroen; https://orcid.org/0000-0002-6288-795X, Lenferink, Dionne B; https://orcid.org/0009-0009-1699-8315, Mituniewicz, Julian; https://orcid.org/0000-0002-9717-5784, Robak, Natalia; https://orcid.org/0000-0002-5482-3745, Donner, Nina C; https://orcid.org/0000-0003-0548-1408, Mestdagh, Merijn; https://orcid.org/0000-0001-5077-861X, Verdonck, Stijn; https://orcid.org/0000-0002-2199-1072, van Dick, Rolf; https://orcid.org/0000-0002-6308-9466, Kleim, Birgit; https://orcid.org/0000-0001-9114-2917, Lieb, Klaus; https://orcid.org/0000-0002-9609-4261, van Leeuwen, Judith M C; https://orcid.org/0000-0001-7105-0038, Kobylińska, Dorota; https://orcid.org/0000-0003-0184-2595, Myin-Germeys, Inez; https://orcid.org/0000-0002-3731-4930, Walter, Henrik; https://orcid.org/0000-0002-9403-6121, Tüscher, Oliver; https://orcid.org/0000-0002-4023-5301, Hermans, Erno J; https://orcid.org/0000-0003-1339-8639, Veer, Ilya M; https://orcid.org/0000-0002-6733-3593, and Kalisch, Raffael; https://orcid.org/0000-0002-9503-7601

Abstract

Background Cross-sectional relationships between psychosocial resilience factors (RFs) and resilience, operationalized as the outcome of low mental health reactivity to stressor exposure (low “stressor reactivity” [SR]), were reported during the first wave of the COVID-19 pandemic in 2020. Objective Extending these findings, we here examined prospective relationships and weekly dynamics between the same RFs and SR in a longitudinal sample during the aftermath of the first wave in several European countries. Methods Over 5 weeks of app-based assessments, participants reported weekly stressor exposure, mental health problems, RFs, and demographic data in 1 of 6 different languages. As (partly) preregistered, hypotheses were tested cross-sectionally at baseline (N=558), and longitudinally (n=200), using mixed effects models and mediation analyses. Results RFs at baseline, including positive appraisal style (PAS), optimism (OPT), general self-efficacy (GSE), perceived good stress recovery (REC), and perceived social support (PSS), were negatively associated with SR scores, not only cross-sectionally (baseline SR scores; all P<.001) but also prospectively (average SR scores across subsequent weeks; positive appraisal (PA), P=.008; OPT, P<.001; GSE, P=.01; REC, P<.001; and PSS, P=.002). In both associations, PAS mediated the effects of PSS on SR (cross-sectionally: 95% CI –0.064 to –0.013; prospectively: 95% CI –0.074 to –0.0008). In the analyses of weekly RF-SR dynamics, the RFs PA of stressors generally and specifically related to the COVID-19 pandemic, and GSE were negatively associated with SR in a contemporaneous fashion (PA, P<.001; PAC,P=.03; and GSE, P<.001), but not in a lagged fashion (PA, P=.36; PAC, P=.52; and GSE, P=.06). Conclusions We identified psychological RFs that prospectively predict resilience and cofluctuate with weekly SR within individuals. These prospective results endorse that the previously reported RF-SR associations do not exclusively reflect

Published
2023

240. A stable and replicable neural signature of lifespan adversity in the adult brain

Author

Holz, Nathalie E; https://orcid.org/0000-0002-6225-9267, Zabihi, Mariam; https://orcid.org/0000-0002-7083-2318, Kia, Seyed Mostafa; https://orcid.org/0000-0002-7128-814X, Monninger, Maximillian, Aggensteiner, Pascal-M; https://orcid.org/0000-0002-1048-9044, Siehl, Sebastian; https://orcid.org/0000-0002-8933-7552, Floris, Dorothea L, Bokde, Arun L W; https://orcid.org/0000-0003-0114-4914, Desrivières, Sylvane; https://orcid.org/0000-0002-9120-7060, Flor, Herta; https://orcid.org/0000-0003-4809-5398, Grigis, Antoine, Garavan, Hugh, Gowland, Penny; https://orcid.org/0000-0002-4900-4817, Heinz, Andreas; https://orcid.org/0000-0001-5405-9065, Brühl, Rüdiger; https://orcid.org/0000-0003-0111-5996, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère; https://orcid.org/0000-0002-0452-2450, Orfanos, Dimitri Papadopoulos; https://orcid.org/0000-0002-1242-8990, Paus, Tomáš, Poustka, Luise; https://orcid.org/0000-0002-7738-4394, Fröhner, Juliane H; https://orcid.org/0000-0002-8493-6396, Smolka, Michael N; https://orcid.org/0000-0001-5398-5569, Vaidya, Nilakshi, Walter, Henrik; https://orcid.org/0000-0002-9403-6121, Whelan, Robert; https://orcid.org/0000-0002-2790-7281, Schumann, Gunter; https://orcid.org/0000-0002-7740-6469, Meyer-Lindenberg, Andreas; https://orcid.org/0000-0001-5619-1123, Brandeis, Daniel, Buitelaar, Jan K; https://orcid.org/0000-0001-8288-7757, Nees, Frauke, et al, Holz, Nathalie E; https://orcid.org/0000-0002-6225-9267, Zabihi, Mariam; https://orcid.org/0000-0002-7083-2318, Kia, Seyed Mostafa; https://orcid.org/0000-0002-7128-814X, Monninger, Maximillian, Aggensteiner, Pascal-M; https://orcid.org/0000-0002-1048-9044, Siehl, Sebastian; https://orcid.org/0000-0002-8933-7552, Floris, Dorothea L, Bokde, Arun L W; https://orcid.org/0000-0003-0114-4914, Desrivières, Sylvane; https://orcid.org/0000-0002-9120-7060, Flor, Herta; https://orcid.org/0000-0003-4809-5398, Grigis, Antoine, Garavan, Hugh, Gowland, Penny; https://orcid.org/0000-0002-4900-4817, Heinz, Andreas; https://orcid.org/0000-0001-5405-9065, Brühl, Rüdiger; https://orcid.org/0000-0003-0111-5996, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère; https://orcid.org/0000-0002-0452-2450, Orfanos, Dimitri Papadopoulos; https://orcid.org/0000-0002-1242-8990, Paus, Tomáš, Poustka, Luise; https://orcid.org/0000-0002-7738-4394, Fröhner, Juliane H; https://orcid.org/0000-0002-8493-6396, Smolka, Michael N; https://orcid.org/0000-0001-5398-5569, Vaidya, Nilakshi, Walter, Henrik; https://orcid.org/0000-0002-9403-6121, Whelan, Robert; https://orcid.org/0000-0002-2790-7281, Schumann, Gunter; https://orcid.org/0000-0002-7740-6469, Meyer-Lindenberg, Andreas; https://orcid.org/0000-0001-5619-1123, Brandeis, Daniel, Buitelaar, Jan K; https://orcid.org/0000-0001-8288-7757, Nees, Frauke, and et al

Abstract

Environmental adversities constitute potent risk factors for psychiatric disorders. Evidence suggests the brain adapts to adversity, possibly in an adversity-type and region-specific manner. However, the long-term effects of adversity on brain structure and the association of individual neurobiological heterogeneity with behavior have yet to be elucidated. Here we estimated normative models of structural brain development based on a lifespan adversity profile in a longitudinal at-risk cohort aged 25 years (n = 169). This revealed widespread morphometric changes in the brain, with partially adversity-specific features. This pattern was replicated at the age of 33 years (n = 114) and in an independent sample at 22 years (n = 115). At the individual level, greater volume contractions relative to the model were predictive of future anxiety. We show a stable neurobiological signature of adversity that persists into adulthood and emphasize the importance of considering individual-level rather than group-level predictions to explain emerging psychopathology.

Published
2023

243. Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria

Author

Hemforth, Lisa, Cury, Claire, Frouin, Vincent, Desrivières, Sylvane, Grigis, Antoine, Garavan, Hugh, Brühl, Rüdiger, Martinot, Jean-Luc, Paillère Martinot, Marie-Laure, Artiges, Eric, Poustka, Luise, Hohmann, Sarah, Millenet, Sabina, Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Couvy-Duchesne, Baptiste, Colliot, Olivier, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR), Neuroimagerie: méthodes et applications (EMPENN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAL, IMAGE ET LANGAGE (IRISA-D6), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), King‘s College London, University of Vermont [Burlington], Physikalisch-Technische Bundesanstalt [Berlin] (PTB), Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), EPS Barthélemy Durand [Etampes], University Medical Center Göttingen (UMG), University Hospital Mannheim | Universitätsmedizin Mannheim, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Trinity College Dublin, Fudan University [Shanghai], Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Queensland [Brisbane], ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), ANR-12-SAMA-0004,ADODEP,Dépression à l'Adolescence: Structure cérébrale et myélinisation(2012), ANR-19-CE37-0017,GeBra,Approches translationelles, profilage transcriptomique, et imagerie cérébrale: vers des nouveaux biomarqueurs et réseaux biologiques dans la resilience au stress(2019), ANR-18-NEUR-0002,ADORe,TARGETING ADOLESCENT NEUROCOGNITIVE PROCESSES IN DEPRESSION TO PROMOTE INTERVENTION RESPONSE(2018), European Project: 351475,NHMRC::NHMRC Project Grants(2005), European Project: 695313,STRATIFY, European Project: 785907,H2020,HBP SGA2(2018), and European Project: 945539,H2020,H2020-SGA-FETFLAG-HBP-2019,HBP SGA3(2020)

Subjects
Deep Learning 3D, Machine Learning, Deep Learning, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Incomplete Hippocampal Inversion, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Hippocampus, MRI, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience; Incomplete Hippocampal Inversion (IHI) is an atypical anatomical pattern of the hippocampus that has been associated with several brain disorders (epilepsy, schizophrenia). IHI can be visually detected on coronal T1 weighted MRI images. IHI can be absent, partial or complete (no IHI, partial IHI, IHI). However, visual evaluation can be long and tedious, justifying the need for an automatic method. In this paper, we propose, to the best of our knowledge, the first automatic IHI detection method from T1-weighted MRI. The originality of our approach is that, instead of directly detecting IHI, we propose to predict several anatomical criteria, which each characterize a particular anatomical feature of IHI, and that can ultimately be combined for IHI detection. Such individual criteria have the advantage of providing interpretable anatomical information regarding the morphological aspect of a given hippocampus. We relied on a large population of 2,008 participants from the IMAGEN study. The approach is general and can be used with different machine learning models. In this paper, we explored two different backbone models for the prediction: a linear method (ridge regression) and a deep convolutional neural network. We demonstrated that the interpretable, anatomical based prediction was at least as good as when predicting directly the presence of IHI, while providing interpretable information to the clinician or neuroscientist. This approach may be applied to other diagnostic tasks which can be characterized radiologically by several anatomical features.

Published
2023

244. Coupled changes between ruminating thoughts and resting-state brain networks during the transition into adulthood

Author

Marchitelli, Rocco, Paillère Martinot, Marie-Laure, Trouvé, Alain, Banaschewski, Tobias, Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Holz, Nathalie, Vaidya, Nilakshi, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Martinot, Jean-Luc, and Artiges, Eric

Abstract

Perseverative negative thoughts, known as rumination, might arise from emotional challenges and preclude mental health when transitioning into adulthood. Due to its multifaceted nature, rumination can take several ruminative response styles, that diverge in manifestations, severity, and mental health outcomes. Still, prospective ruminative phenotypes remain elusive insofar. Longitudinal study designs are ideal for stratifying ruminative response styles, especially with resting-state functional MRI whose setup naturally elicits people’s ruminative traits. Here, we considered self-rated questionnaires on rumination and psychopathology, along with resting-state functional MRI data in 595 individuals assessed at age 18 and 22 from the IMAGEN cohort. We conducted independent component analysis to characterize eight single static resting-state functional networks in each subject and session and furthermore conducted a dynamic analysis, tackling the time variations of functional networks during the entire scanning time. We then investigated their longitudinal mediation role between changes in three ruminative response styles (reflective pondering, brooding, and depressive rumination) and changes in internalizing and co-morbid externalizing symptoms. Four static and two dynamic networks longitudinally differentiated these ruminative styles and showed complemental sensitivity to internalizing and co-morbid externalizing symptoms. Among these networks, the right frontoparietal network covaried with all ruminative styles but did not play any mediation role towards psychopathology. The default mode, the salience, and the limbic networks prospectively stratified these ruminative styles, suggesting that maladaptive ruminative styles are associated with altered corticolimbic function. For static measures, only the salience network played a longitudinal causal role between brooding rumination and internalizing symptoms. Dynamic measures highlighted the default-mode mediation role between the other ruminative styles and co-morbid externalizing symptoms. In conclusion, we identified the ruminative styles’ psychometric and neural outcome specificities, supporting their translation into applied research on young adult mental healthcare.

Published
2024
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246. Pubertal maturation and sex effects on the default-mode network connectivity implicated in mood dysregulation

Author

Ernst, Monique, Benson, Brenda, Artiges, Eric, Gorka, Adam X., Lemaitre, Herve, Lago, Tiffany, Miranda, Ruben, Banaschewski, Tobias, Bokde, Arun L. W., Bromberg, Uli, Brühl, Rüdiger, Büchel, Christian, Cattrell, Anna, Conrod, Patricia, Desrivières, Sylvane, Fadai, Tahmine, Flor, Herta, Grigis, Antoine, Gallinat, Juergen, Garavan, Hugh, Gowland, Penny, Grimmer, Yvonne, Heinz, Andreas, Kappel, Viola, Nees, Frauke, Papadopoulos-Orfanos, Dimitri, Penttilä, Jani, Poustka, Luise, Smolka, Michael N., Stringaris, Argyris, Struve, Maren, van Noort, Betteke M., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Grillon, Christian, Martinot, Marie-Laure Paillère, Martinot, Jean-Luc, and for the IMAGEN Consortium

Published
2019
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247. Child sexual offenders show prenatal and epigenetic alterations of the androgen system

Author

Kruger, Tillmann H. C., Sinke, Christopher, Kneer, Jonas, Tenbergen, Gilian, Khan, Abdul Qayyum, Burkert, Alexandra, Müller-Engling, Linda, Engler, Harald, Gerwinn, Hannah, von Wurmb-Schwark, Nicole, Pohl, Alexander, Weiß, Simone, Amelung, Till, Mohnke, Sebastian, Massau, Claudia, Kärgel, Christian, Walter, Martin, Schiltz, Kolja, Beier, Klaus M., Ponseti, Jorge, Schiffer, Boris, Walter, Henrik, Jahn, Kirsten, and Frieling, Helge

Published
2019
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248. Normative Modeling of Brain Morphometry Across the Lifespan using CentileBrain: Algorithm Benchmarking and Model Optimization

Author

Ge, Ruiyang, primary, Yu, Yuetong, additional, Qi, Yi Xuan, additional, Fan, Yunan Vera, additional, Chen, Shiyu, additional, Gao, Chuntong, additional, Haas, Shalaila S, additional, Modabbernia, Amirhossein, additional, New, Faye, additional, Agartz, Ingrid, additional, Asherson, Philip, additional, Ayesa-Arriola, Rosa, additional, Banaj, Nerisa, additional, Banaschewski, Tobias, additional, Baumeister, Sarah, additional, Bertolino, Alessandro, additional, Boomsma, Dorret I, additional, Borgwardt, Stefan, additional, Bourque, Josiane, additional, Brandeis, Daniel, additional, Breier, Alan, additional, Brodaty, Henry, additional, Brouwer, Rachel M, additional, Buckner, Randy, additional, Buitelaar, Jan K, additional, Cannon, Dara M, additional, Caseras, Xavier, additional, Cervenka, Simon, additional, Conrod, Patricia J, additional, Crespo-Facorro, Benedicto, additional, Crivello, Fabrice, additional, Crone, Eveline A, additional, de Haan, Liewe, additional, de Zubicaray, Greig I, additional, Di Giorgio, Annabella, additional, Erk, Susanne, additional, Fisher, Simon E, additional, Franke, Barbara, additional, Frodl, Thomas, additional, Glahn, David C, additional, Grotegerd, Dominik, additional, Gruber, Oliver, additional, Gruner, Patricia, additional, Gur, Raquel E, additional, Gur, Ruben C, additional, Harrison, Ben J, additional, Hatton, Sean N, additional, Hickie, Ian, additional, Howells, Fleur M, additional, Hulshoff Pol, Hilleke E, additional, Huyser, Chaim, additional, Jernigan, Terry L, additional, Jiang, Jiyang, additional, Joska, John A, additional, Kahn, Rene S, additional, Kalnin, Andrew J, additional, Kochan, Nicole A, additional, Koops, Sanne, additional, Kuntsi, Jonna, additional, Lagopoulos, Jim, additional, Lazaro, Luisa, additional, Lebedeva, Irina S, additional, Lochner, Christine, additional, Martin, Nicholas G, additional, Mazoyer, Bernard, additional, McDonald, Brenna C, additional, McDonald, Colm, additional, McMahon, Katie L, additional, Nakao, Tomohiro, additional, Nyberg, Lars, additional, Piras, Fabrizio, additional, Portella, Maria J, additional, Qiu, Jiang, additional, Roffman, Joshua L, additional, Sachdev, Perminder S, additional, Sanford, Nicole, additional, Saykin, Andrew J, additional, Satterthwaite, Theodore D, additional, Thomopolous, Sophia I, additional, Sellgren, Carl M, additional, Sim, Kang, additional, Smoller, Jordan W, additional, Soares, Jair, additional, Sommer, Iris E, additional, Spalletta, Gianfranco, additional, Stein, Dan J, additional, Tamnes, Christian K, additional, Tomyshev, Alexander S, additional, van Erp, Theo GM, additional, Tordesillas-Gutierrez, Diana, additional, Trollor, Julian N, additional, van 't Ent, Dennis, additional, van den Heuvel, Odile A, additional, van Haren, Neeltje EM, additional, Vecchio, Daniela, additional, Veltman, Dick J, additional, Wei, Dongtao, additional, Walter, Henrik, additional, Wang, Yang, additional, Weber, Bernd, additional, Wright, Margaret J, additional, Wen, Wei, additional, Westlye, Lars T, additional, Wierenga, Lara M, additional, Thompson, Paul M, additional, Williams, Steven CR, additional, Medland, Sarah, additional, Wu, Mon-Ju, additional, Yu, Kevin, additional, Jahanshad, Neda, additional, and Frangou, Sophia, additional

Published
2023
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