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1. Association between vmPFC gray matter volume and smoking initiation in adolescents

Author

Xiang, Shitong, Jia, Tianye, Xie, Chao, Cheng, Wei, Chaarani, Bader, Banaschewski, Tobias, Barker, Gareth J., Bokde, Arun L. W., Büchel, Christian, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Gowland, Penny A., Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Garavan, Hugh, Schumann, Gunter, Sahakian, Barbara J., Robbins, Trevor W., and Feng, Jianfeng

Published
2023
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2. Individual Differences in Cognitive Performance Are Better Predicted by Global Rather Than Localized BOLD Activity Patterns Across the Cortex

Author

Zhao, Weiqi, Palmer, Clare E, Thompson, Wesley K, Chaarani, Bader, Garavan, Hugh P, Casey, BJ, Jernigan, Terry L, Dale, Anders M, and Fan, Chun Chieh

Subjects
Biological Psychology, Psychology, Basic Behavioral and Social Science, Bioengineering, Acquired Cognitive Impairment, Dementia, Neurosciences, Behavioral and Social Science, Mental Health, Brain Disorders, Neurological, Bayes Theorem, Brain Mapping, Cerebral Cortex, Cognition, Humans, Individuality, Models, Neurological, behavioral prediction, cognition, distributed effect sizes, individual differences, neuroimaging, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

Despite its central role in revealing the neurobiological mechanisms of behavior, neuroimaging research faces the challenge of producing reliable biomarkers for cognitive processes and clinical outcomes. Statistically significant brain regions, identified by mass univariate statistical models commonly used in neuroimaging studies, explain minimal phenotypic variation, limiting the translational utility of neuroimaging phenotypes. This is potentially due to the observation that behavioral traits are influenced by variations in neuroimaging phenotypes that are globally distributed across the cortex and are therefore not captured by thresholded, statistical parametric maps commonly reported in neuroimaging studies. Here, we developed a novel multivariate prediction method, the Bayesian polyvertex score, that turns a unthresholded statistical parametric map into a summary score that aggregates the many but small effects across the cortex for behavioral prediction. By explicitly assuming a globally distributed effect size pattern and operating on the mass univariate summary statistics, it was able to achieve higher out-of-sample variance explained than mass univariate and popular multivariate methods while still preserving the interpretability of a generative model. Our findings suggest that similar to the polygenicity observed in the field of genetics, the neural basis of complex behaviors may rest in the global patterning of effect size variation of neuroimaging phenotypes, rather than in localized, candidate brain regions and networks.

Published
2021

3. Early adolescent gender diversity and mental health in the Adolescent Brain Cognitive Development study

Author

Potter, Alexandra, Dube, Sarahjane, Allgaier, Nicholas, Loso, Hannah, Ivanova, Masha, Barrios, Lisa C, Bookheimer, Susan, Chaarani, Bader, Dumas, Julie, Feldstein‐Ewing, Sarah, Freedman, Edward G, Garavan, Hugh, Hoffman, Elizabeth, McGlade, Erin, Robin, Leah, and Johns, Michelle M

Subjects
Paediatrics, Biomedical and Clinical Sciences, Pediatric, Clinical Research, Neurosciences, Mental Health, Mental health, Good Health and Well Being, Adolescent, Adult, Brain, Child, Cognition, Cohort Studies, Female, Gender Identity, Humans, Male, Gender diversity, gender expression, nonconformity, suicidality, early adolescent, transgender, Clinical Sciences, Psychology, Cognitive Sciences, Developmental & Child Psychology, Clinical sciences, Applied and developmental psychology, Clinical and health psychology
Abstract

BackgroundThere are known associations between mental health symptoms and transgender identity among adults. Whether this relationship extends to early adolescents and to gender domains other than identity is unclear. This study measured dimensions of gender in a large, diverse, sample of youth, and examined associations between diverse gender experiences and mental health.MethodsThe ABCD study is an ongoing, longitudinal, US cohort study. Baseline data (release 2.0) include 11,873 youth age 9/10 (48% female); and the 4,951 1-year follow-up visits (age 10/11; 48% female) completed prior to data release. A novel gender survey at the 1-year visit assessed felt-gender, gender noncontentedness, and gender nonconformity using a 5-point scale. Mental health measures included youth- and parent-reports.ResultsRoughly half a percent of 9/10-year-olds (n = 58) responded 'yes' or 'maybe' when asked, 'Are you transgender' at baseline. Recurrent thoughts of death were more prevalent among these youth compared to the rest of the cohort (19.6% vs. 6.4%, χ2  = 16.0, p

Published
2021

4. Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study

Author

Herting, Megan M, Uban, Kristina A, Gonzalez, Marybel Robledo, Baker, Fiona C, Kan, Eric C, Thompson, Wesley K, Granger, Douglas A, Albaugh, Matthew D, Anokhin, Andrey P, Bagot, Kara S, Banich, Marie T, Barch, Deanna M, Baskin-Sommers, Arielle, Breslin, Florence J, Casey, BJ, Chaarani, Bader, Chang, Linda, Clark, Duncan B, Cloak, Christine C, Constable, R Todd, Cottler, Linda B, Dagher, Rada K, Dapretto, Mirella, Dick, Anthony S, Dosenbach, Nico, Dowling, Gayathri J, Dumas, Julie A, Edwards, Sarah, Ernst, Thomas, Fair, Damien A, Feldstein-Ewing, Sarah W, Freedman, Edward G, Fuemmeler, Bernard F, Garavan, Hugh, Gee, Dylan G, Giedd, Jay N, Glaser, Paul EA, Goldstone, Aimee, Gray, Kevin M, Hawes, Samuel W, Heath, Andrew C, Heitzeg, Mary M, Hewitt, John K, Heyser, Charles J, Hoffman, Elizabeth A, Huber, Rebekah S, Huestis, Marilyn A, Hyde, Luke W, Infante, M Alejandra, Ivanova, Masha Y, Jacobus, Joanna, Jernigan, Terry L, Karcher, Nicole R, Laird, Angela R, LeBlanc, Kimberly H, Lisdahl, Krista, Luciana, Monica, Luna, Beatriz, Maes, Hermine H, Marshall, Andrew T, Mason, Michael J, McGlade, Erin C, Morris, Amanda S, Nagel, Bonnie J, Neigh, Gretchen N, Palmer, Clare E, Paulus, Martin P, Potter, Alexandra S, Puttler, Leon I, Rajapakse, Nishadi, Rapuano, Kristina, Reeves, Gloria, Renshaw, Perry F, Schirda, Claudiu, Sher, Kenneth J, Sheth, Chandni, Shilling, Paul D, Squeglia, Lindsay M, Sutherland, Matthew T, Tapert, Susan F, Tomko, Rachel L, Yurgelun-Todd, Deborah, Wade, Natasha E, Weiss, Susan RB, Zucker, Robert A, and Sowell, Elizabeth R

Subjects
Paediatrics, Biomedical and Clinical Sciences, Mental Health, Clinical Research, Neurosciences, Social Determinants of Health, Women's Health, Pediatric, Behavioral and Social Science, Basic Behavioral and Social Science, Metabolic and endocrine, Good Health and Well Being, Adolescent, Adolescent Development, Child, Child Development, Cross-Sectional Studies, Dehydroepiandrosterone, Estradiol, Female, Gonadal Steroid Hormones, Humans, Male, Puberty, Self Report, Sexual Maturation, Socioeconomic Factors, Testosterone, adolescent brain cognitive development, salivary hormones, pubertal development scale, puberty, testosterone, dehydroepiandrosterone, estradiol, Clinical Sciences, Nutrition and Dietetics, Clinical sciences
Abstract

AimTo examine individual variability between perceived physical features and hormones of pubertal maturation in 9-10-year-old children as a function of sociodemographic characteristics.MethodsCross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study-a multi-site sample of 9-10 year-olds (n = 11,875)-and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels.ResultsPDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child's weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample.ConclusionsSociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9-10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.

Published
2021

5. Cortical profiles of numerous psychiatric disorders and normal development share a common pattern

Author

Cao, Zhipeng, Cupertino, Renata B., Ottino-Gonzalez, Jonatan, Murphy, Alistair, Pancholi, Devarshi, Juliano, Anthony, Chaarani, Bader, Albaugh, Matthew, Yuan, Dekang, Schwab, Nathan, Stafford, James, Goudriaan, Anna E., Hutchison, Kent, Li, Chiang-Shan R., Luijten, Maartje, Groefsema, Martine, Momenan, Reza, Schmaal, Lianne, Sinha, Rajita, van Holst, Ruth J., Veltman, Dick J., Wiers, Reinout W., Porjesz, Bernice, Lett, Tristram, Banaschewski, Tobias, Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Millenet, Sabina, Fröhner, Juliane H., Robinson, Lauren, Smolka, Michael N., Walter, Henrik, Winterer, Jeanne, Schumann, Gunter, Whelan, Robert, Bhatt, Ravi R., Zhu, Alyssa, Conrod, Patricia, Jahanshad, Neda, Thompson, Paul M., Mackey, Scott, and Garavan, Hugh

Published
2023
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7. Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study.

Author

Herting, Megan M, Uban, Kristina A, Gonzalez, Marybel Robledo, Baker, Fiona C, Kan, Eric C, Thompson, Wesley K, Granger, Douglas A, Albaugh, Matthew D, Anokhin, Andrey P, Bagot, Kara S, Banich, Marie T, Barch, Deanna M, Baskin-Sommers, Arielle, Breslin, Florence J, Casey, BJ, Chaarani, Bader, Chang, Linda, Clark, Duncan B, Cloak, Christine C, Constable, R Todd, Cottler, Linda B, Dagher, Rada K, Dapretto, Mirella, Dick, Anthony S, Dosenbach, Nico, Dowling, Gayathri J, Dumas, Julie A, Edwards, Sarah, Ernst, Thomas, Fair, Damien A, Feldstein-Ewing, Sarah W, Freedman, Edward G, Fuemmeler, Bernard F, Garavan, Hugh, Gee, Dylan G, Giedd, Jay N, Glaser, Paul EA, Goldstone, Aimee, Gray, Kevin M, Hawes, Samuel W, Heath, Andrew C, Heitzeg, Mary M, Hewitt, John K, Heyser, Charles J, Hoffman, Elizabeth A, Huber, Rebekah S, Huestis, Marilyn A, Hyde, Luke W, Infante, M Alejandra, Ivanova, Masha Y, Jacobus, Joanna, Jernigan, Terry L, Karcher, Nicole R, Laird, Angela R, LeBlanc, Kimberly H, Lisdahl, Krista, Luciana, Monica, Luna, Beatriz, Maes, Hermine H, Marshall, Andrew T, Mason, Michael J, McGlade, Erin C, Morris, Amanda S, Nagel, Bonnie J, Neigh, Gretchen N, Palmer, Clare E, Paulus, Martin P, Potter, Alexandra S, Puttler, Leon I, Rajapakse, Nishadi, Rapuano, Kristina, Reeves, Gloria, Renshaw, Perry F, Schirda, Claudiu, Sher, Kenneth J, Sheth, Chandni, Shilling, Paul D, Squeglia, Lindsay M, Sutherland, Matthew T, Tapert, Susan F, Tomko, Rachel L, Yurgelun-Todd, Deborah, Wade, Natasha E, Weiss, Susan RB, Zucker, Robert A, and Sowell, Elizabeth R

Subjects
Humans, Dehydroepiandrosterone, Testosterone, Estradiol, Gonadal Steroid Hormones, Cross-Sectional Studies, Adolescent Development, Child Development, Puberty, Sexual Maturation, Socioeconomic Factors, Adolescent, Child, Female, Male, Self Report, adolescent brain cognitive development, dehydroepiandrosterone, estradiol, pubertal development scale, puberty, salivary hormones, testosterone, Pediatric, Behavioral and Social Science, Prevention, Pediatric Research Initiative, Clinical Research, Mental Health, Basic Behavioral and Social Science, Contraception/Reproduction, Mental health, Clinical Sciences, Nutrition and Dietetics
Abstract

AimTo examine individual variability between perceived physical features and hormones of pubertal maturation in 9-10-year-old children as a function of sociodemographic characteristics.MethodsCross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study-a multi-site sample of 9-10 year-olds (n = 11,875)-and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels.ResultsPDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child's weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample.ConclusionsSociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9-10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.

Published
2020

8. Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects.

Author

Mackey, Scott, Allgaier, Nicholas, Chaarani, Bader, Spechler, Philip, Orr, Catherine, Bunn, Janice, Allen, Nicholas B, Alia-Klein, Nelly, Batalla, Albert, Blaine, Sara, Brooks, Samantha, Caparelli, Elisabeth, Chye, Yann Ying, Cousijn, Janna, Dagher, Alain, Desrivieres, Sylvane, Feldstein-Ewing, Sarah, Foxe, John J, Goldstein, Rita Z, Goudriaan, Anna E, Heitzeg, Mary M, Hester, Robert, Hutchison, Kent, Korucuoglu, Ozlem, Li, Chiang-Shan R, London, Edythe, Lorenzetti, Valentina, Luijten, Maartje, Martin-Santos, Rocio, May, April, Momenan, Reza, Morales, Angelica, Paulus, Martin P, Pearlson, Godfrey, Rousseau, Marc-Etienne, Salmeron, Betty Jo, Schluter, Renée, Schmaal, Lianne, Schumann, Gunter, Sjoerds, Zsuzsika, Stein, Dan J, Stein, Elliot A, Sinha, Rajita, Solowij, Nadia, Tapert, Susan, Uhlmann, Anne, Veltman, Dick, van Holst, Ruth, Whittle, Sarah, Wright, Margaret J, Yücel, Murat, Zhang, Sheng, Yurgelun-Todd, Deborah, Hibar, Derrek P, Jahanshad, Neda, Evans, Alan, Thompson, Paul M, Glahn, David C, Conrod, Patricia, Garavan, Hugh, and ENIGMA Addiction Working Group

Subjects
ENIGMA Addiction Working Group, Brain, Cerebral Cortex, Humans, Substance-Related Disorders, Alcoholism, Amphetamine-Related Disorders, Cocaine-Related Disorders, Marijuana Abuse, Tobacco Use Disorder, Methamphetamine, Organ Size, Adult, Middle Aged, Female, Male, Young Adult, Gray Matter, Support Vector Machine, Mega-Analysis, Structural MRI, Neurosciences, Drug Abuse (NIDA only), Brain Disorders, Alcoholism, Alcohol Use and Health, Substance Misuse, Mental health, Good Health and Well Being, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveAlthough lower brain volume has been routinely observed in individuals with substance dependence compared with nondependent control subjects, the brain regions exhibiting lower volume have not been consistent across studies. In addition, it is not clear whether a common set of regions are involved in substance dependence regardless of the substance used or whether some brain volume effects are substance specific. Resolution of these issues may contribute to the identification of clinically relevant imaging biomarkers. Using pooled data from 14 countries, the authors sought to identify general and substance-specific associations between dependence and regional brain volumes.MethodBrain structure was examined in a mega-analysis of previously published data pooled from 23 laboratories, including 3,240 individuals, 2,140 of whom had substance dependence on one of five substances: alcohol, nicotine, cocaine, methamphetamine, or cannabis. Subcortical volume and cortical thickness in regions defined by FreeSurfer were compared with nondependent control subjects when all sampled substance categories were combined, as well as separately, while controlling for age, sex, imaging site, and total intracranial volume. Because of extensive associations with alcohol dependence, a secondary contrast was also performed for dependence on all substances except alcohol. An optimized split-half strategy was used to assess the reliability of the findings.ResultsLower volume or thickness was observed in many brain regions in individuals with substance dependence. The greatest effects were associated with alcohol use disorder. A set of affected regions related to dependence in general, regardless of the substance, included the insula and the medial orbitofrontal cortex. Furthermore, a support vector machine multivariate classification of regional brain volumes successfully classified individuals with substance dependence on alcohol or nicotine relative to nondependent control subjects.ConclusionsThe results indicate that dependence on a range of different substances shares a common neural substrate and that differential patterns of regional volume could serve as useful biomarkers of dependence on alcohol and nicotine.

Published
2019

9. The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites

Author

Casey, BJ, Cannonier, Tariq, Conley, May I, Cohen, Alexandra O, Barch, Deanna M, Heitzeg, Mary M, Soules, Mary E, Teslovich, Theresa, Dellarco, Danielle V, Garavan, Hugh, Orr, Catherine A, Wager, Tor D, Banich, Marie T, Speer, Nicole K, Sutherland, Matthew T, Riedel, Michael C, Dick, Anthony S, Bjork, James M, Thomas, Kathleen M, Chaarani, Bader, Mejia, Margie H, Hagler, Donald J, Cornejo, M Daniela, Sicat, Chelsea S, Harms, Michael P, Dosenbach, Nico UF, Rosenberg, Monica, Earl, Eric, Bartsch, Hauke, Watts, Richard, Polimeni, Jonathan R, Kuperman, Joshua M, Fair, Damien A, Dale, Anders M, and Workgroup, the ABCD Imaging Acquisition

Subjects
Cognitive and Computational Psychology, Psychology, Biomedical Imaging, Substance Misuse, Brain Disorders, Pediatric, Drug Abuse (NIDA only), Clinical Research, Neurosciences, Mental health, Good Health and Well Being, Adolescent, Adolescent Development, Brain, Cognition, Female, Humans, Male, Addiction, Adolescence, Development, Impulsivity, Memory, Reward, ABCD Imaging Acquisition Workgroup, Clinical Sciences, Cognitive Sciences, Biological psychology, Clinical and health psychology
Abstract

The ABCD study is recruiting and following the brain development and health of over 10,000 9-10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and addiction. This article provides an overview of the imaging procedures of the ABCD study, the basis for their selection and preliminary quality assurance and results that provide evidence for the feasibility and age-appropriateness of procedures and generalizability of findings to the existent literature.

Published
2018

10. Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment

Author

Judd, Nicholas, Sauce, Bruno, Wiedenhoeft, John, Tromp, Jeshua, Chaarani, Bader, Schliep, Alexander, van Noort, Betteke, Penttilä, Jani, Grimmer, Yvonne, Insensee, Corinna, Becker, Andreas, Banaschewski, Tobias, Bokde, Arun L. W., Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Millenet, Sabina, Fröhner, Juliane H., Smolkaa, Michael N., Walter, Henrik, Whelanc, Robert, Schuman, Gunter, Garavan, Hugh, and Klingberg, Torkel

Published
2020

11. Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis

Author

Price, Matthew, Albaugh, Matthew, Hahn, Sage, Juliano, Anthony C., Fani, Negar, Brier, Zoe M. F., Legrand, Alison C., van Stolk-Cooke, Katherine, Chaarani, Bader, Potter, Alexandra, Peck, Kelly, Allgaier, Nicholas, Banaschewski, Tobias, Bokde, Arun L. W., Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Paillère, Marie-Laure, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Poustka, Luise, Hohmann, Sarah, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, and Garavan, Hugh

Published
2021
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12. 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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13. 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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14. Genetic imaging consortium for addiction medicine: From neuroimaging to genes.

Author

Mackey, Scott, Kan, Kees-Jan, Chaarani, Bader, Alia-Klein, Nelly, Batalla, Albert, Brooks, Samantha, Cousijn, Janna, Dagher, Alain, de Ruiter, Michiel, Desrivieres, Sylvane, Feldstein Ewing, Sarah, Goldstein, Rita, Goudriaan, Anna, Heitzeg, Mary, Hutchison, Kent, Li, Chiang-Shan, Lorenzetti, Valentina, Luijten, Maartje, Martin-Santos, Rocio, Morales, Angelica, Paulus, Martin, Paus, Tomas, Pearlson, Godfrey, Schluter, Renée, Momenan, Reza, Schmaal, Lianne, Schumann, Gunter, Sinha, Rajita, Sjoerds, Zsuzsika, Stein, Dan, Stein, Elliot, Solowij, Nadia, Uhlmann, Anne, Veltman, Dick, van Holst, Ruth, Walter, Henrik, Wright, Margaret, Yucel, Murat, Yurgelun-Todd, Deborah, Hibar, Derrek, Jahanshad, Neda, Thompson, Paul, Glahn, David, Garavan, Hugh, Conrod, Patricia, London, Edythe, and Tapert, Susan

Subjects
Addiction, ENIGMA, Genetic imaging, Neuroimaging, Brain, Genetic Testing, Humans, Meta-Analysis as Topic, Neuroimaging, Phenotype, Substance-Related Disorders
Abstract

Since the sample size of a typical neuroimaging study lacks sufficient statistical power to explore unknown genomic associations with brain phenotypes, several international genetic imaging consortia have been organized in recent years to pool data across sites. The challenges and achievements of these consortia are considered here with the goal of leveraging these resources to study addiction. The authors of this review have joined together to form an Addiction working group within the framework of the ENIGMA project, a meta-analytic approach to multisite genetic imaging data. Collectively, the Addiction working group possesses neuroimaging and genomic data obtained from over 10,000 subjects. The deadline for contributing data to the first round of analyses occurred at the beginning of May 2015. The studies performed on this data should significantly impact our understanding of the genetic and neurobiological basis of addiction.

Published
2016

17. Longitudinal associations between amygdala reactivity and cannabis use in a large sample of adolescents

Author

Spechler, Philip A., Chaarani, Bader, Orr, Catherine, Albaugh, Matthew D., Fontaine, Nicholas R., Higgins, Stephen T., Banaschewski, Tobias, Bokde, Arun L. W., Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Artiges, Eric, 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, and Garavan, Hugh

Published
2020
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18. 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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19. 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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21. White matter microstructure is associated with hyperactive/inattentive symptomatology and polygenic risk for attention-deficit/hyperactivity disorder in a population-based sample of adolescents

Author

Albaugh, Matthew D., Hudziak, James. J., Ing, Alex, Chaarani, Bader, Barker, Edward, Jia, Tianye, Lemaitre, Herve, Watts, Richard, Orr, Catherine, Spechler, Philip A., Lepage, Claude, Fonov, Vladimir, Collins, Louis, Rioux, Pierre, Evans, Alan C., Banaschewski, Tobias, Bokde, Arun L. W., Bromberg, Uli, Büchel, Christian, Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Frouin, Vincent, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Garavan, Hugh, and Potter, Alexandra

Published
2019
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22. Brain Networks and Adolescent Alcohol Use

Author

Yip, Sarah W., primary, Lichenstein, Sarah D., additional, Liang, Qinghao, additional, Chaarani, Bader, additional, Dager, Alecia, additional, Pearlson, Godfrey, additional, Banaschewski, Tobias, additional, Bokde, Arun L. W., additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Grigis, Antoine, 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, Paus, Tomáš, additional, Poustka, Luise, additional, Hohmann, Sarah, additional, Millenet, Sabina, additional, Fröhner, Juliane H., additional, Smolka, Michael N., additional, Vaidya, Nilakshi, additional, Walter, Henrik, additional, Whelan, Robert, additional, Schumann, Gunter, additional, and Garavan, Hugh, additional

Published
2023
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24. 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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29. Machine learning approaches linking brain function to behavior in the ABCD STOP task.

Author

Yuan, Dekang, Hahn, Sage, Allgaier, Nicholas, Owens, Max M., Chaarani, Bader, Potter, Alexandra, and Garavan, Hugh

Subjects
MACHINE learning, DIFFUSION tensor imaging, INDIVIDUAL differences, RESPONSE inhibition, CONTROL (Psychology)
Abstract

The stop‐signal task (SST) is one of the most common fMRI tasks of response inhibition, and its performance measure, the stop‐signal reaction‐time (SSRT), is broadly used as a measure of cognitive control processes. The neurobiology underlying individual or clinical differences in response inhibition remain unclear, consistent with the general pattern of quite modest brain–behavior associations that have been recently reported in well‐powered large‐sample studies. Here, we investigated the potential of multivariate, machine learning (ML) methods to improve the estimation of individual differences in SSRT with multimodal structural and functional region of interest‐level neuroimaging data from 9‐ to 11‐year‐olds children in the ABCD Study. Six ML algorithms were assessed across modalities and fMRI tasks. We verified that SST activation performed best in predicting SSRT among multiple modalities including morphological MRI (cortical surface area/thickness), diffusion tensor imaging, and fMRI task activations, and then showed that SST activation explained 12% of the variance in SSRT using cross‐validation and out‐of‐sample lockbox data sets (n = 7298). Brain regions that were more active during the task and that showed more interindividual variation in activation were better at capturing individual differences in performance on the task, but this was only true for activations when successfully inhibiting. Cortical regions outperformed subcortical areas in explaining individual differences but the two hemispheres performed equally well. These results demonstrate that the detection of reproducible links between brain function and performance can be improved with multivariate approaches and give insight into a number of brain systems contributing to individual differences in this fundamental cognitive control process. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Genetic imaging consortium for addiction medicine

Author

Mackey, Scott, primary, Kan, Kees-Jan, additional, Chaarani, Bader, additional, Alia-Klein, Nelly, additional, Batalla, Albert, additional, Brooks, Samantha, additional, Cousijn, Janna, additional, Dagher, Alain, additional, de Ruiter, Michiel, additional, Desrivieres, Sylvane, additional, Feldstein Ewing, Sarah W., additional, Goldstein, Rita Z., additional, Goudriaan, Anna E., additional, Heitzeg, Mary M., additional, Hutchison, Kent, additional, Li, Chiang-Shan R., additional, London, Edythe D., additional, Lorenzetti, Valentina, additional, Luijten, Maartje, additional, Martin-Santos, Rocio, additional, Morales, Angelica M., additional, Paulus, Martin P., additional, Paus, Tomas, additional, Pearlson, Godfrey, additional, Schluter, Renée, additional, Momenan, Reza, additional, Schmaal, Lianne, additional, Schumann, Gunter, additional, Sinha, Rajita, additional, Sjoerds, Zsuzsika, additional, Stein, Dan J., additional, Stein, Elliot A., additional, Solowij, Nadia, additional, Tapert, Susan, additional, Uhlmann, Anne, additional, Veltman, Dick, additional, van Holst, Ruth, additional, Walter, Henrik, additional, Wright, Margaret J., additional, Yucel, Murat, additional, Yurgelun-Todd, Deborah, additional, Hibar, Derrek P., additional, Jahanshad, Neda, additional, Thompson, Paul M., additional, Glahn, David C., additional, Garavan, Hugh, additional, and Conrod, Patricia, additional

Published
2016
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33. Characterizing reward system neural trajectories from adolescence to young adulthood

Author

Cao, Zhipeng, primary, Ottino-Gonzalez, Jonatan, additional, Cupertino, Renata B., additional, Juliano, Anthony, additional, Chaarani, Bader, additional, Banaschewski, Tobias, additional, Bokde, Arun L.W., additional, Quinlan, Erin Burke, additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Grigis, Antoine, 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, Paus, Tomáš, additional, Poustka, Luise, additional, Hohmann, Sarah, additional, Millenet, Sabina, additional, Fröhner, Juliane H., additional, Robinson, Lauren, additional, Smolka, Michael N., additional, Walter, Henrik, additional, Winterer, Jeanne, additional, Schumann, Gunter, additional, Whelan, Robert, additional, Mackey, Scott, additional, and Garavan, Hugh, additional

Published
2021
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37. Association of Cannabis Use During Adolescence With Neurodevelopment

Author

Albaugh, Matthew D., Ottino-Gonzalez, Jonatan, Sidwell, Amanda, Lepage, Claude, Juliano, Anthony, Owens, Max M., Chaarani, Bader, Spechler, Philip, Fontaine, Nicholas, Rioux, Pierre, Lewis, Lindsay, Jeon, Seun, Evans, Alan, Radhakrishnan, Rajiv, Banaschewski, Tobias, Bokde, Arun L. W., Quinlan, Erin Burke, Conrod, Patricia, Flor, Herta, Grigis, Antoine, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Poustka, Luise, Millenet, Sabina, Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Potter, Alexandra, and Garavan, Hugh

Subjects
Psychiatry and Mental health
Abstract

IMPORTANCE Animal studies have shown that the adolescent brain is sensitive to disruptions in endocannabinoid signaling, resulting in altered neurodevelopment and lasting behavioral effects. However, few studies have investigated ties between cannabis use and adolescent brain development in humans.OBJECTIVE To examine the degree to which magnetic resonance (MR) imaging–assessed cerebral cortical thickness development is associated with cannabis use in a longitudinal sample of adolescents.DESIGN, SETTING, AND PARTICIPANTS Data were obtained from the community-based IMAGEN cohort study, conducted across 8 European sites. Baseline data used in the present study were acquired from March 1, 2008, to December 31, 2011, and follow-up data were acquired from January 1, 2013, to December 31, 2016. A total of 799 IMAGEN participants were identified who reported being cannabis naive at study baseline and had behavioral and neuroimaging data available at baseline and 5-year follow-up. Statistical analysis was performed from October 1, 2019, to August 31, 2020.MAIN OUTCOMES AND MEASURES Cannabis use was assessed at baseline and 5-year follow-up with the European School Survey Project on Alcohol and Other Drugs. Anatomical MR images were acquired with a 3-dimensional T1-weighted magnetization prepared gradient echo sequence. Quality-controlled nativeMR images were processed through the CIVET pipeline, version 2.1.0.RESULTS The study evaluated 1598 MR images from 799 participants (450 female participants [56.3%]; mean [SD] age, 14.4 [0.4] years at baseline and 19.0 [0.7] years at follow-up). At 5-year follow-up, cannabis use (from 0 to >40 uses) was negatively associated with thickness in left prefrontal (peak: t785 = –4.87, cluster size = 1558 vertices; P = 1.10 × 10−6, random field theory cluster corrected) and right prefrontal (peak: t785 = –4.27, cluster size = 1551 vertices; P = 2.81 × 10−5, random field theory cluster corrected) cortices. There were no significant associations between lifetime cannabis use at 5- year follow-up and baseline cortical thickness, suggesting that the observed neuroanatomical differences did not precede initiation of cannabis use. Longitudinal analysis revealed that age-related cortical thinning was qualified by cannabis use in a dose-dependent fashion such that greater use, from baseline to follow-up, was associated with increased thinning in left prefrontal (peak: t815.27 = –4.24, cluster size = 3643 vertices; P = 2.28 × 10−8, random field theory cluster corrected) and right prefrontal (peak: t813.30 = –4.71, cluster size = 2675 vertices; P = 3.72 × 10−8, random field theory cluster corrected) cortices. The spatial pattern of cannabis-related thinning was associated with age-related thinning in this sample (r = 0.540; P less than< .001), and a positron emission tomography–assessed cannabinoid 1 receptor–binding map derived from a separate sample of participants (r = −0.189; P less than .001). Analysis revealed that thinning in right prefrontal cortices, from baseline to follow-up, was associated with attentional impulsiveness at follow-up.CONCLUSIONS AND RELEVANCE Results suggest that cannabis use during adolescence is associated with altered neurodevelopment, particularly in cortices rich in cannabinoid 1 receptors and undergoing the greatest age-related thickness change in middle to late adolescence.

Published
2021

41. Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study

Author

Herting, Megan M., primary, Uban, Kristina A., additional, Gonzalez, Marybel Robledo, additional, Baker, Fiona C., additional, Kan, Eric C., additional, Thompson, Wesley K., additional, Granger, Douglas A., additional, Albaugh, Matthew D., additional, Anokhin, Andrey P., additional, Bagot, Kara S., additional, Banich, Marie T., additional, Barch, Deanna M., additional, Baskin-Sommers, Arielle, additional, Breslin, Florence J., additional, Casey, B. J., additional, Chaarani, Bader, additional, Chang, Linda, additional, Clark, Duncan B., additional, Cloak, Christine C., additional, Constable, R. Todd, additional, Cottler, Linda B., additional, Dagher, Rada K., additional, Dapretto, Mirella, additional, Dick, Anthony S., additional, Dosenbach, Nico, additional, Dowling, Gayathri J., additional, Dumas, Julie A., additional, Edwards, Sarah, additional, Ernst, Thomas, additional, Fair, Damien A., additional, Feldstein-Ewing, Sarah W., additional, Freedman, Edward G., additional, Fuemmeler, Bernard F., additional, Garavan, Hugh, additional, Gee, Dylan G., additional, Giedd, Jay N., additional, Glaser, Paul E. A., additional, Goldstone, Aimee, additional, Gray, Kevin M., additional, Hawes, Samuel W., additional, Heath, Andrew C., additional, Heitzeg, Mary M., additional, Hewitt, John K., additional, Heyser, Charles J., additional, Hoffman, Elizabeth A., additional, Huber, Rebekah S., additional, Huestis, Marilyn A., additional, Hyde, Luke W., additional, Infante, M. Alejandra, additional, Ivanova, Masha Y., additional, Jacobus, Joanna, additional, Jernigan, Terry L., additional, Karcher, Nicole R., additional, Laird, Angela R., additional, LeBlanc, Kimberly H., additional, Lisdahl, Krista, additional, Luciana, Monica, additional, Luna, Beatriz, additional, Maes, Hermine H., additional, Marshall, Andrew T., additional, Mason, Michael J., additional, McGlade, Erin C., additional, Morris, Amanda S., additional, Nagel, Bonnie J., additional, Neigh, Gretchen N., additional, Palmer, Clare E., additional, Paulus, Martin P., additional, Potter, Alexandra S., additional, Puttler, Leon I., additional, Rajapakse, Nishadi, additional, Rapuano, Kristina, additional, Reeves, Gloria, additional, Renshaw, Perry F., additional, Schirda, Claudiu, additional, Sher, Kenneth J., additional, Sheth, Chandni, additional, Shilling, Paul D., additional, Squeglia, Lindsay M., additional, Sutherland, Matthew T., additional, Tapert, Susan F., additional, Tomko, Rachel L., additional, Yurgelun-Todd, Deborah, additional, Wade, Natasha E., additional, Weiss, Susan R. B., additional, Zucker, Robert A., additional, and Sowell, Elizabeth R., additional

Published
2021
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42. Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence

Author

Wang, Haiyan, primary, Fan, Lingzhong, additional, Song, Ming, additional, Liu, Bing, additional, Wu, Dongya, additional, Jiang, Rongtao, additional, Li, Jin, additional, Li, Ang, additional, Banaschewski, Tobias, additional, Bokde, Arun L W, additional, Quinlan, Erin Burke, additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Grigis, Antoine, additional, Garavan, Hugh, additional, Chaarani, Bader, additional, Gowland, Penny, additional, Heinz, Andreas, additional, Ittermann, Bernd, additional, Martinot, Jean-Luc, additional, Martinot, Marie-Laure Paillère, additional, Artiges, Eric, 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, and Jiang, Tianzi, additional

Published
2020
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43. Neural Correlates of Adolescent Irritability and Its Comorbidity With Psychiatric Disorders

Author

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

Published
2020
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45. Multimethod Investigation of the Neurobiological Basis of ADHD Symptomatology in Children Aged 9-10: Baseline Data from the ABCD Study

Author

Owens, Max Michael, primary, Allgaier, Nicholas, additional, Hahn, Sage, additional, Yuan, Dekang, additional, Albaugh, Matthew, additional, Adise, Shana, additional, Chaarani, Bader, additional, Ortigara, Joseph, additional, Juliano, Anthony, additional, Potter, Alexandra, additional, and Garavan, Hugh, additional

Published
2020
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48. Early adolescent gender diversity and mental health in the Adolescent Brain Cognitive Development study

Author

Potter, Alexandra, primary, Dube, Sarahjane, additional, Allgaier, Nicholas, additional, Loso, Hannah, additional, Ivanova, Masha, additional, Barrios, Lisa C., additional, Bookheimer, Susan, additional, Chaarani, Bader, additional, Dumas, Julie, additional, Feldstein‐Ewing, Sarah, additional, Freedman, Edward G., additional, Garavan, Hugh, additional, Hoffman, Elizabeth, additional, McGlade, Erin, additional, Robin, Leah, additional, and Johns, Michelle M., additional

Published
2020
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