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177 results on '"Spechler, Philip A."'

3. Chronotype, Longitudinal Volumetric Brain Variations Throughout Adolescence, and Depressive Symptom Development

Author

Vulser, Hélène, Lemaître, Hervé S., Guldner, Stella, Bezivin-Frère, Pauline, Löffler, Martin, Sarvasmaa, Anna S., Massicotte-Marquez, Jessica, Artiges, Eric, Paillère Martinot, Marie-Laure, Filippi, Irina, Miranda, Ruben, Stringaris, Argyris, van Noort, Betteke Maria, Penttilä, Jani, Grimmer, Yvonne, Becker, Andreas, Banaschewski, Tobias, Bokde, Arun L.W., Desrivières, Sylvane, Fröhner, Juliane H., Garavan, Hugh, Grigis, Antoine, Gowland, Penny A., Heinz, Andreas, Papadopoulos Orfanos, Dimitri, Poustka, Luise, Smolka, Michael N., Spechler, Philip A., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Flor, Herta, Martinot, Jean-Luc, and Nees, Frauke

Published
2023
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4. 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

5. Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning

Author

Owens, Max M., Albaugh, Matthew D., Allgaier, Nicholas, Yuan, Dekang, Robert, Gabriel, Cupertino, Renata B., Spechler, Philip A., Juliano, Anthony, Hahn, Sage, 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, Lemaitre, Herve, Paus, Tomáš, Poustka, Luise, Millenet, Sabina, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Mackey, Scott, Schumann, Gunter, and Garavan, Hugh

Published
2022
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7. 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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10. 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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11. Erratum to “Striatal hypoactivation during monetary loss anticipation in individuals with substance use disorders in a heterogenous urban American Indian sample” [Drug Alcohol Depend. 246 (2023) 109852]

Author

Wilhelm, Ricardo A., primary, Spechler, Philip A., additional, Demuth, Mara J., additional, Gonzalez, Miigis, additional, Kemp, Christopher, additional, Walls, Melissa, additional, Aupperle, Robin L., additional, Paulus, Martin P., additional, Stewart, Jennifer L., additional, and White, Evan J., additional

Published
2023
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13. 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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14. Identification of neurobehavioural symptom groups based on shared brain mechanisms

Author

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

Published
2019
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15. 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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16. 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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19. 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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21. Cognitive control as a potential neural mechanism of protective role of spirituality in anxiety disorders among American Indian people: An ERP study

Author

Baughman, Nicole R., primary, Wilhelm, Ricardo A., additional, Spechler, Philip A., additional, McNaughton, Breanna A., additional, Demuth, Mara J., additional, Lawrence, Gary L., additional, Riddle, Glenna Stumblingbear, additional, Shadlow, Joanna O., additional, Kominsky, Terrence, additional, Stewart, Jennifer L., additional, Aupperle, Robin L., additional, Paulus, Martin P, additional, and White, Evan J., additional

Published
2023
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23. 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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26. Prenatal cannabis exposure in ABCD dataset

Author

Spechler, Philip, Paulus, Martin, and Thompson, Wesley

Subjects
Social and Behavioral Sciences
Abstract

Previously, we studied the relationship between cannabis use and individuals with mood/anxiety disorders using cross-sectional data from the Tulsa 1000 study (Victor et al., 2018). Using that dataset, we found that individuals with mood/anxiety disorders and problematic cannabis use were characterized by (1) attenuated striatal activations during reward anticipation (Spechler et al., in press), and (2) higher impulsivity measures under periods of urgency (Spechler et al., in-preparation). As those findings were derived from cross-sectional data, we propose to reproduce these effects in children with prenatal cannabis exposure. In doing so, these findings would help inform causal mechanisms related to cannabis use and associated outcomes. Spechler et al., in press. "Attenuated Reward Activations Associated with Cannabis Use in Anxious/Depressed Individuals". Translational Psychiatry. Spechler et al., in preparation. "Multifaceted impulsivity differences in anxious/depressed cannabis users".

Published
2022
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28. Neural processes of inhibitory control in American Indian peoples are associated with reduced mental health problems

Author

White, Evan J, primary, Demuth, Mara J, additional, Nacke, Mariah, additional, Kirlic, Namik, additional, Kuplicki, Rayus, additional, Spechler, Philip A, additional, McDermott, Timothy J, additional, DeVille, Danielle C, additional, Stewart, Jennifer L, additional, Lowe, John, additional, Paulus, Martin P, additional, and Aupperle, Robin L, additional

Published
2022
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32. 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

33. Bayesian Causal Network Modeling Suggests Adolescent Cannabis Use Promotes Accelerated Prefrontal Cortical Thinning

Author

Owens, Max Michael, primary, Albaugh, Matthew, additional, Allgaier, Nicholas, additional, Yuan, Dekang, additional, Robert, Gabriel, additional, Cupertino, Renata B., additional, Spechler, Philip A., additional, Juliano, Anthony, additional, Hahn, Sage, additional, Banaschewski, Tobias, additional, Bokde, Arun L.W., additional, Quinlan, Erin Burke, additional, Desrivieres, 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, Papadopoulos Orfanos, Dimitri, additional, Lemaitre, Herve, additional, Paus, Tomáš, additional, Poustka, Luise, additional, Millenet, Sabina, additional, Fröhner, Juliane Hilde, additional, Smolka, Michael N., additional, Walter, Henrik, additional, Whelan, Robert, additional, Schumann, Gunter, additional, and Garavan, Hugh, additional

Published
2021
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36. Examination of the neural basis of psychotic-like experiences in adolescenceduring processing of emotional faces

Author

Papanastasiou, Evangelos, Mouchlianitis, Elias, Joyce, Daniel, McGuire, Philip, Boussebaa, Celia, Banaschewski, Tobias, Bokde, Arun L.W., Büchel, Christian, Quinlan, Erin, Desrivieres, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Spechler , Philip, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Paillère Martinot, Marie-Laure, Artiges, Eric, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Millenet, Sabina, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, and Shergill, Sukhi

Subjects
nervous system, behavioral disciplines and activities, psychological phenomena and processes
Abstract

Contemporary theories propose that dysregulation of emotional perception is involved in the aetiology of psychosis. 298 healthy adolescents were assessed at age 14- and 19-years using fMRI while performing a facial emotion task. Psychotic-like experiences (PLEs) were assessed with the CAPE-42 questionnaire at age 19. The high PLEs group at age 19 years exhibited an enhanced response in right insular cortex and decreased response in right prefrontal, right parahippocampal and left striatal regions; also, a gradient of decreasing response to emotional faces with age, from 14 to 19 years, in the right parahippocampal region and left insular cortical area. The right insula demonstrated an increasing response to emotional faces with increasing age in the low PLEs group, and a decreasing response over time in the high PLEs group. The change in parahippocampal / amygdala and insula responses during the perception of emotional faces in adolescents with high PLEs between the ages of 14 and 19 suggests a potential ‘aberrant’ neurodevelopmental trajectory for critical limbic areas. Our findings emphasize the role of the frontal and limbic areas in the aetiology of psychotic symptoms, in subjects without the illness phenotype and the confounds introduced by antipsychotic medication.

Published
2020

37. 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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38. Brain structural covariance network differences in adults with alcohol dependence and heavy‐drinking adolescents.

Author

Ottino‐González, Jonatan, Garavan, Hugh, Albaugh, Matthew D., Cao, Zhipeng, Cupertino, Renata B., Schwab, Nathan, Spechler, Philip A., Allen, Nicholas, Artiges, Eric, Banaschewski, Tobias, Bokde, Arun L. W., Burke Quinlan, Erin, Brühl, Rüdiger, Orr, Catherine, Cousijn, Janna, Desrivières, Sylvane, Flor, Herta, Foxe, John J., Fröhner, Juliane H., and Goudriaan, Anna E.

Subjects
BRAIN, RESEARCH, NEURAL pathways, ALCOHOLISM, LABOR productivity, CONFIDENCE intervals, CROSS-sectional method, BINGE drinking, NEURAL development, BRAIN cortical thickness, CRONBACH'S alpha, DESCRIPTIVE statistics, DRINKING behavior, DATA analysis software, STATISTICAL correlation, CLUSTER analysis (Statistics), CAUSAL models, ADULTS
Abstract

Background and aims: Graph theoretic analysis of structural covariance networks (SCN) provides an assessment of brain organization that has not yet been applied to alcohol dependence (AD). We estimated whether SCN differences are present in adults with AD and heavy‐drinking adolescents at age 19 and age 14, prior to substantial exposure to alcohol. Design Cross‐sectional sample of adults and a cohort of adolescents. Correlation matrices for cortical thicknesses across 68 regions were summarized with graph theoretic metrics. Setting and participants: A total of 745 adults with AD and 979 non‐dependent controls from 24 sites curated by the Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA)–Addiction consortium, and 297 hazardous drinking adolescents and 594 controls at ages 19 and 14 from the IMAGEN study, all from Europe. Measurements Metrics of network segregation (modularity, clustering coefficient and local efficiency) and integration (average shortest path length and global efficiency). Findings The younger AD adults had lower network segregation and higher integration relative to non‐dependent controls. Compared with controls, the hazardous drinkers at age 19 showed lower modularity [area‐under‐the‐curve (AUC) difference = −0.0142, 95% confidence interval (CI) = −0.1333, 0.0092; P‐value = 0.017], clustering coefficient (AUC difference = −0.0164, 95% CI = −0.1456, 0.0043; P‐value = 0.008) and local efficiency (AUC difference = −0.0141, 95% CI = −0.0097, 0.0034; P‐value = 0.010), as well as lower average shortest path length (AUC difference = −0.0405, 95% CI = −0.0392, 0.0096; P‐value = 0.021) and higher global efficiency (AUC difference = 0.0044, 95% CI = −0.0011, 0.0043; P‐value = 0.023). The same pattern was present at age 14 with lower clustering coefficient (AUC difference = −0.0131, 95% CI = −0.1304, 0.0033; P‐value = 0.024), lower average shortest path length (AUC difference = −0.0362, 95% CI = −0.0334, 0.0118; P‐value = 0.019) and higher global efficiency (AUC difference = 0.0035, 95% CI = −0.0011, 0.0038; P‐value = 0.048). Conclusions: Cross‐sectional analyses indicate that a specific structural covariance network profile is an early marker of alcohol dependence in adults. Similar effects in a cohort of heavy‐drinking adolescents, observed at age 19 and prior to substantial alcohol exposure at age 14, suggest that this pattern may be a pre‐existing risk factor for problematic drinking. [ABSTRACT FROM AUTHOR]

Published
2022
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40. Examination of the neural basis of psychotic-like experiences in adolescence during processing of emotional faces

Author

Papanastasiou, Evangelos, primary, Mouchlianitis, Elias, additional, Joyce, Dan W., additional, McGuire, Philip, additional, Boussebaa, Celia, additional, Banaschewski, Tobias, additional, Bokde, Arun L. W., additional, Büchel, Christian, additional, Quinlan, Erin, additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Grigis, Antoine, additional, Garavan, Hugh, additional, Spechler, Philip, additional, Gowland, Penny, additional, Heinz, Andreas, additional, Ittermann, Bernd, additional, Martinot, Marie-Laure Paillère, additional, Artiges, Eric, additional, Nees, Frauke, additional, Orfanos, Dimitri Papadopoulos, additional, Paus, Tomáš, 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 Shergill, Sukhwinder S., additional

Published
2020
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41. Neuroimaging evidence for right orbitofrontal cortex differences in adolescents with emotional and behavioral dysregulation

Author

Spechler, Philip A., Chaarani, Bader, Orr, Catherine, Mackey, Scott, Higgins, Stephen T., Banaschewski, Tobias, Bokde, Arun L.W., Bromberg, Uli, Burke Quinlan, Erin, Conrod, Patricia J., Flor, Herta, Frouin, Vincent, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Poustka, Luise, Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Garavan, Hugh, Althoff, Robert R., and IMAGEN Consortium

Subjects
Psychiatry and Mental health, Developmental and Educational Psychology
Abstract

Objective: To characterize the structural and functional neurobiology of a large group of adolescents exhibiting a behaviorally and emotionally dysregulated phenotype.Methods: Age 14 adolescents from the IMAGEN study were investigated. Latent class analysis (LCA) on the Strengths and Difficulties Questionnaire (SDQ) was used to identify a class of individuals with elevated behavioral and emotional difficulties (“dysregulated”; N=233) who were compared to a matched sample from a low symptom class (controls, N=233). Whole-brain gray matter volume (GMV) images were compared using a general linear model with 10,000 random label permutations. Regional GMV findings were then probed for functional differences from three fMRI tasks. Significant brain features then informed mediation path models linking the likelihood of psychiatric disorders (DSM-IV) with dysregulation.Results: Whole-brain differences were found in the right orbitofrontal cortex (R.OFC; p less than .05; k=48), with dysregulated individuals exhibiting lower GMV. The dysregulated group also exhibited higher activity in this region during successful inhibitory control (F1,429=7.53, p less than .05). Path analyses indicated significant direct effects between the likelihood of psychopathologies and dysregulation. Modeling the R.OFC as a mediator returned modest partial effects, suggesting the path linking the likelihood of an anxiety or conduct disorder diagnoses to dysregulation is partially explained by this anatomical feature.Conclusion: A large sample of dysregulated adolescents exhibited lower GMV in the R.OFC relative to controls. Dysregulated individuals also exhibited higher regional activations when exercising inhibitory control at performance levels comparable to controls. These findings suggest a neurobiological marker of dysregulation, and highlight the role of the R.OFC in impaired emotional and behavioral control.

Published
2019

42. Low smoking-exposure, the adolescent brain, and the modulating role of CHRNA5 polymorphisms

Author

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, Cattrell, Anna, Conrod, Patricia J., Flor, Herta, Frouin, Vincent, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Nees, Frauke, Papadopoulos-Orfanos, Dimitri, Poustka, Luise, Smolka, Michael N., Walter, Henrik, Whelan, Robert, Higgins, Stephen T., Schumann, Gunter, Althoff, Robert R., Stein, Elliot A., and Garavan, Hugh

Subjects
Low smoking exposure, fMRI, Genetics, Neuroimaging, adolescents, Grey matter volume
Abstract

© 2019 Background: Studying the neural consequences of tobacco smoking during adolescence, including those associated with early light use, may help expose the mechanisms that underlie the transition from initial use to nicotine dependence in adulthood. However, only a few studies in adolescents exist, and they include small samples. In addition, the neural mechanism, if one exists, that links nicotinic receptor genes to smoking behavior in adolescents is still unknown. Methods: Structural and diffusion tensor magnetic resonance imaging data were acquired from a large sample of 14-year-old adolescents who completed an extensive battery of neuropsychological, clinical, personality, and drug-use assessments. Additional assessments were conducted at 16 years of age. Results: Exposure to smoking in adolescents, even at low doses, is linked to volume changes in the ventromedial prefrontal cortex and to altered neuronal connectivity in the corpus callosum. The longitudinal analyses strongly suggest that these effects are not preexisting conditions in those who progress to smoking. There was a genetic contribution wherein the volume reduction effects were magnified in smokers who were carriers of the high-risk genotype of the alpha 5 nicotinic receptor subunit gene, rs16969968. Conclusions: These findings give insight into a mechanism involving genes, brain structure, and connectivity underlying why some adolescents find nicotine especially addictive.

Published
2019

43. Ventromedial Prefrontal Volume in Adolescence Predicts Hyperactive/Inattentive Symptoms in Adulthood

Author

Albaugh, Matthew, Ivanova, Masha, Chaarani, Bader, Orr, Catherine, Allgaier, Nicholas, Althoff, Robert, D'Alberto, Nicholas, Hudson, Kelse, Mackey, Scott, Spechler, Philip, Banaschewski, Tobias, Bokde, Arun, Bromberg, Uli, Cattrell, Anna, J.Conrod, Patricia, and Gowland, Penny

Subjects
attention-deficit/hyperactivity disorder, neuroimaging, ventromedial prefrontal cortex
Abstract

Youths with attention-deficit/hyperactivity disorder symptomatology often exhibit residual inattention and/or hyperactivity in adulthood; however, this is not true for all individuals. We recently reported that dimensional, multi-informant ratings of hyperactive/inattentive symptoms are associated with ventromedial prefrontal cortex (vmPFC) structure. Herein, we investigate the degree to which vmPFC structure during adolescence predicts hyperactive/inattentive symptomatology at 5-year follow-up. Structural equation modeling was used to test the extent to which adolescent vmPFC volume predicts hyperactive/inattentive symptomatology 5 years later in early adulthood. 1,104 participants (M = 14.52 yrs, SD = 0.42; 583 females) possessed hyperactive/inattentive symptom data at 5-year follow-up, as well as quality controlled neuroimaging data and complete psychometric data at baseline. Self-reports of hyperactive/inattentive symptomatology were obtained during adolescence and at 5-year follow-up using the Strengths and Difficulties Questionnaire (SDQ). At baseline and 5-year follow-up, a hyperactive/inattentive latent variable was derived from items on the SDQ. Baseline vmPFC volume predicted adult hyperactive/inattentive symptomatology (standardized coefficient = -.274, p < .001) while controlling for baseline hyperactive/inattentive symptomatology. These results are the first to reveal relations between adolescent brain structure and adult hyperactive/inattentive symptomatology, and suggest that early structural development of the vmPFC may be consequential for the subsequent expression of hyperactive/inattentive symptoms.

Published
2019

44. Low Smoking Exposure, the Adolescent Brain, and the Modulating Role of CHRNA5 Polymorphisms

Author

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

Published
2019
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45. Grey Matter Volume Differences Associated with Extremely Low Levels of Cannabis Use in Adolescence

Author

Orr, Catherine, primary, Spechler, Philip, additional, Cao, Zhipeng, additional, Albaugh, Matthew, additional, Chaarani, Bader, additional, Mackey, Scott, additional, D'Souza, Deepak, additional, Allgaier, Nicholas, additional, Banaschewski, Tobias, additional, Bokde, Arun L.W., additional, Bromberg, Uli, additional, Büchel, Christian, additional, Burke Quinlan, Erin, additional, Conrod, Patricia, additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Frouin, Vincent, additional, Gowland, Penny, additional, Heinz, Andreas, additional, Ittermann, Bernd, additional, Martinot, Jean-Luc, additional, Martinot, Marie-Laure Paillère, additional, Nees, Frauke, additional, Papadopoulos Orfanos, Dimitri, additional, Paus, Tomáš, additional, Poustka, Luise, additional, Millenet, Sabina, additional, Fröhner, Juliane H., additional, Radhakrishnan, Rajiv, additional, Smolka, Michael N., additional, Walter, Henrik, additional, Whelan, Robert, additional, Schumann, Gunter, additional, Potter, Alexandra, additional, and Garavan, Hugh, additional

Published
2019
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46. Functional neuroimaging predictors of self-reported psychotic symptoms in adolescents

Author

Bourque, Josiane, Spechler, Philip A., Whelan, Robert, Banaschewski, Tobias, Bokde, Arun L.W., Bromberg, Uli, Quinlan, Erin Burke, Frouin, Vincent, and Gowland, Penny

Abstract

OBJECTIVE: This study aimed to investigate the neural correlates of psychotic-like experiences in youth on measures of inhibitory control, reward anticipation and emotion processing. A secondary aim was to test whether these neuro-functional correlates of risk were predictive of psychotic symptoms 2 years later. METHOD: Functional imaging response to three paradigms: the Stop-Signal, Monetary Incentive Delay, and Faces tasks was collected in youth at age 14, as part of the IMAGEN study. At baseline, youth from London and Dublin sites were assessed on psychotic-like experiences and those reporting significant experiences were compared with matched controls. Significant brain activity differences between the groups were used to predict, with cross-validation, the presence of psychotic symptoms in the context of mood fluctuation at age 16, assessed in the full sample. These prediction analyses were conducted with the London-Dublin subsample (N=246) and the full sample (N=1196). RESULTS: Youth reporting psychotic-like experiences showed increased hippocampus/amygdala activity during neutral faces processing and reduced dorsolateral prefrontal activity during failed inhibition relative to controls. The most prominent region for classifying 16-year olds with mood fluctuation and psychotic symptoms relative to the control groups (those with mood fluctuations but no psychotic symptoms and those with no mood symptoms) included hyperactivation of the hippocampus/amygdala, when controlling for baseline psychotic-like experiences and cannabis use. CONCLUSIONS: The results stress the importance of the limbic network’s increased response to neutral facial stimuli as a marker of the extended psychosis phenotype. These findings might help to guide early intervention strategies for at-risk youth.

Published
2017

47. Association of Gray Matter and Personality Development With Increased Drunkenness Frequency During Adolescence.

Author

Robert, Gabriel H., Luo, Qiang, Yu, Tao, Chu, Congying, Ing, Alex, Jia, Tianye, Papadopoulos Orfanos, Dimitri, Burke-Quinlan, Erin, Desrivières, Sylvane, Ruggeri, Barbara, Spechler, Philip, Chaarani, Bader, Tay, Nicole, Banaschewski, Tobias, Bokde, Arun L. W., Bromberg, Uli, Flor, Herta, Frouin, Vincent, Gowland, Penny, and Heinz, Andreas

Subjects
PERSONALITY development, ALCOHOLIC intoxication, ADOLESCENCE, ALCOHOLISM, DEPENDENCY (Psychology), ALCOHOL drinking, GRAY matter (Nerve tissue), ADOLESCENT development, FRONTAL lobe, RESEARCH, TEMPORAL lobe, RESEARCH methodology, BEHAVIOR, EVALUATION research, MEDICAL cooperation, SEX distribution, COMPARATIVE studies, RESEARCH funding
Abstract

Importance: Alcohol abuse correlates with gray matter development in adolescents, but the directionality of this association remains unknown.Objective: To investigate the directionality of the association between gray matter development and increase in frequency of drunkenness among adolescents.Design, Setting, and Participants: This cohort study analyzed participants of IMAGEN, a multicenter brain imaging study of healthy adolescents in 8 European sites in Germany (Mannheim, Dresden, Berlin, and Hamburg), the United Kingdom (London and Nottingham), Ireland (Dublin), and France (Paris). Data from the second follow-up used in the present study were acquired from January 1, 2013, to December 31, 2016, and these data were analyzed from January 1, 2016, to March 31, 2018. Analyses were controlled for sex, site, socioeconomic status, family history of alcohol dependency, puberty score, negative life events, personality, cognition, and polygenic risk scores. Personality and frequency of drunkenness were assessed at age 14 years (baseline), 16 years (first follow-up), and 19 years (second follow-up). Structural brain imaging scans were acquired at baseline and second follow-up time points.Main Outcomes and Measures: Increases in drunkenness frequency were measured by latent growth modeling, a voxelwise hierarchical linear model was used to observe gray matter volume, and tensor-based morphometry was used for gray matter development. The hypotheses were formulated before the data analyses.Results: A total of 726 adolescents (mean [SD] age at baseline, 14.4 [0.38] years; 418 [58%] female) were included. The increase in drunkenness frequency was associated with accelerated gray matter atrophy in the left posterior temporal cortex (peak: t1,710 = -5.8; familywise error (FWE)-corrected P = 7.2 × 10-5; cluster: 6297 voxels; P = 2.7 × 10-5), right posterior temporal cortex (cluster: 2070 voxels; FWE-corrected P = .01), and left prefrontal cortex (peak: t1,710 = -5.2; FWE-corrected P = 2 × 10-3; cluster: 10 624 voxels; P = 1.9 × 10-7). According to causal bayesian network analyses, 73% of the networks showed directionality from gray matter development to drunkenness increase as confirmed by accelerated gray matter atrophy in late bingers compared with sober controls (n = 20 vs 60; β = 1.25; 95% CI, -2.15 to -0.46; t1,70 = 0.3; P = .004), the association of drunkenness increase with gray matter volume at age 14 years (β = 0.23; 95% CI, 0.01-0.46; t1,584 = 2; P = .04), the association between gray matter atrophy and alcohol drinking units (β = -0.0033; 95% CI, -6 × 10-3 to -5 × 10-4; t1,509 = -2.4; P = .02) and drunkenness frequency at age 23 years (β = -0.16; 95% CI, -0.28 to -0.03; t1,533 = -2.5; P = .01), and the linear exposure-response curve stratified by gray matter atrophy and not by increase in frequency of drunkenness.Conclusions and Relevance: This study found that gray matter development and impulsivity were associated with increased frequency of drunkenness by sex. These results suggest that neurotoxicity-related gray matter atrophy should be interpreted with caution. [ABSTRACT FROM AUTHOR]

Published
2020
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48. F67. Increased Amygdalar Activation to Angry Faces is Linked to Reduced Prefrontal Cortical Thickness and Hyperactive/Inattentive Symptomatology in Adolescents

Author

Albaugh, Matthew, primary, Orr, Catherine, additional, Spechler, Philip, additional, Chaarani, Bader, additional, Allgaier, Nicholas, additional, Althoff, Robert, additional, D'Alberto, Nicholas, additional, Hudson, Kelsey, additional, Mackey, Scott, additional, Lepage, Claude, additional, Fonov, Vladimir S., additional, Collins, Louis, additional, Rioux, Pierre, additional, Garavan, Hugh, additional, Potter, Alexandra, additional, and Hudziak, James, additional

Published
2018
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49. Ventromedial Prefrontal Volume in Adolescence Predicts Hyperactive/Inattentive Symptoms in Adulthood

Author

Albaugh, Matthew D, primary, Ivanova, Masha, additional, Chaarani, Bader, additional, Orr, Catherine, additional, Allgaier, Nicholas, additional, Althoff, Robert R, additional, D’ Alberto, Nicholas, additional, Hudson, Kelsey, additional, Mackey, Scott, additional, Spechler, Philip A, additional, Banaschewski, Tobias, additional, Brühl, Rüdiger, 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, Goodman, Robert, additional, Gowland, Penny, additional, Grimmer, Yvonne, additional, Heinz, Andreas, additional, Kappel, Viola, additional, Martinot, Jean-Luc, additional, Martinot, Marie-Laure Paillère, additional, Nees, Frauke, additional, Papadopoulos Orfanos, Dimitri, additional, Penttilä, Jani, additional, Poustka, Luise, additional, Paus, Tomáš, additional, Smolka, Michael N, additional, Struve, Maren, additional, Walter, Henrik, additional, Whelan, Robert, additional, Schumann, Gunter, additional, Garavan, Hugh, additional, and Potter, Alexandra S, additional

Published
2018
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50. Individual differences in stop-related activity are inflated by the adaptive algorithm in the stop signal task

Author

D'Alberto, Nicholas, primary, Chaarani, Bader, additional, Orr, Catherine A., additional, Spechler, Philip A., additional, Albaugh, Matthew D., additional, Allgaier, Nicholas, additional, Wonnell, Alexander, additional, Banaschewski, Tobias, additional, Bokde, Arun L.W., additional, Bromberg, Uli, additional, Büchel, Christian, additional, Quinlan, Erin Burke, additional, Conrod, Patricia J., additional, Desrivières, Sylvane, additional, Flor, Herta, additional, Fröhner, Juliane H., additional, Frouin, Vincent, additional, Gowland, Penny, additional, Heinz, Andreas, additional, Itterman, Bernd, additional, Martinot, Jean-Luc, additional, Paillère Martinot, Marie-Laure, additional, Artiges, Eric, additional, Nees, Frauke, additional, Papadopoulos Orfanos, Dimitri, additional, Poustka, Luise, additional, Robbins, Trevor W., additional, Smolka, Michael N., additional, Walter, Henrik, additional, Whelan, Robert, additional, Schumann, Gunter, additional, Potter, Alexandra S., additional, and Garavan, Hugh, additional

Published
2018
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