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3. Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder

Author

Amare, Azmeraw T., Thalamuthu, Anbupalam, Schubert, Klaus Oliver, Fullerton, Janice M., Ahmed, Muktar, Hartmann, Simon, Papiol, Sergi, Heilbronner, Urs, Degenhardt, Franziska, Tekola-Ayele, Fasil, Hou, Liping, Hsu, Yi-Hsiang, Shekhtman, Tatyana, Adli, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Hasler, Roland, Richard-Lepouriel, Hélène, Perroud, Nader, Backlund, Lena, Bhattacharjee, Abesh Kumar, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna M., Birner, Armin, Marie-Claire, Cynthia, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Cruceanu, Cristiana, Czerski, Piotr M., Dalkner, Nina, Del Zompo, Maria, DePaulo, J. Raymond, Étain, Bruno, Jamain, Stephane, Falkai, Peter, Forstner, Andreas J., Frisen, Louise, Frye, Mark A., Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Fallgatter, Andreas J., Stegmaier, Sophia, Ethofer, Thomas, Biere, Silvia, Petrova, Kristiyana, Schuster, Ceylan, Adorjan, Kristina, Budde, Monika, Heilbronner, Maria, Kalman, Janos L., Kohshour, Mojtaba Oraki, Reich-Erkelenz, Daniela, Schaupp, Sabrina K., Schulte, Eva C., Senner, Fanny, Vogl, Thomas, Anghelescu, Ion-George, Arolt, Volker, Dannlowski, Udo, Dietrich, Detlef, Figge, Christian, Jäger, Markus, Lang, Fabian U., Juckel, Georg, Konrad, Carsten, Reimer, Jens, Schmauß, Max, Schmitt, Andrea, Spitzer, Carsten, von Hagen, Martin, Wiltfang, Jens, Zimmermann, Jörg, Andlauer, Till F. M., Fischer, Andre, Bermpohl, Felix, Ritter, Philipp, Matura, Silke, Gryaznova, Anna, Falkenberg, Irina, Yildiz, Cüneyt, Kircher, Tilo, Schmidt, Julia, Koch, Marius, Gade, Kathrin, Trost, Sarah, Haussleiter, Ida S., Lambert, Martin, Rohenkohl, Anja C., Kraft, Vivien, Grof, Paul, Hashimoto, Ryota, Hauser, Joanna, Herms, Stefan, Hoffmann, Per, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kuo, Po-Hsiu, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Ferensztajn-Rochowiak, Ewa, König, Barbara, Kusumi, Ichiro, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Tortorella, Alfonso, Manchia, Mirko, Martinsson, Lina, McCarthy, Michael J., McElroy, Susan, Colom, Francesc, Millischer, Vincent, Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Nöthen, Markus M., Novák, Tomas, O’Donovan, Claire, Ozaki, Norio, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Reif, Andreas, Reininghaus, Eva, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schweizer, Barbara W., Severino, Giovanni, Shilling, Paul D., Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Maj, Mario, Turecki, Gustavo, Vieta, Eduard, Veeh, Julia, Witt, Stephanie H., Wright, Adam, Zandi, Peter P., Mitchell, Philip B., Bauer, Michael, Alda, Martin, Rietschel, Marcella, McMahon, Francis J., Schulze, Thomas G., Clark, Scott R., and Baune, Bernhard T.

Published
2023
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5. Neural correlates of stress-reactive rumination in depression – The role of childhood trauma and social anxiety

Author

Rosenbaum, David, Int-Veen, Isabell, Laicher, Hendrik, Woloszyn, Leonie, Wiegand, Ariane, Ladegast, Sandra, Eßer, Ute, Kroczek, Agnes, Sippel, Daniel, Menkor, Sebastian, Lawyer, Glenn, Albasini, Francesco, Frischholz, Christian, Mössner, Rainald, Nieratschker, Vanessa, Leehr, Elisabeth J., Rubel, Julian, Fallgatter, Andreas J., and Ehlis, Ann-Christine

Published
2024
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8. Medication adherence and cognitive performance in schizophrenia-spectrum and bipolar disorder: results from the PsyCourse Study

Author

Senner, Fanny, Hiendl, Lena, Bengesser, Susanne, Adorjan, Kristina, Anghelescu, Ion-George, Baune, Bernhardt T., Budde, Monika, Dannlowski, Udo, Dietrich, Detlef E., Falkai, Peter, Fallgatter, Andreas J., Hasan, Alkomiet, Heilbronner, Maria, Jäger, Markus, Juckel, Georg, Kalman, Janos L., Konrad, Carsten, Kohshour, Mojtaba Oraki, Papiol, Sergi, Reich-Erkelenz, Daniela, Reimer, Jens, Schaupp, Sabrina K., Schmauß, Max, Senner, Simon, Spitzer, Carsten, Vogl, Thomas, Zimmermann, Jörg, Heilbronner, Urs, Schulte, Eva C., Schulze, Thomas G., Reininghaus, Eva Z., Kirchner, Sophie-Kathrin, and Dalkner, Nina

Published
2023
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11. Analysis of structural brain asymmetries in attention‐deficit/hyperactivity disorder in 39 datasets

Author

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

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

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

Published
2021

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

Author

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

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

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

Published
2021

13. Young people at risk for developing bipolar disorder: Two-year findings from the multicenter prospective, naturalistic Early-BipoLife study

Author

Martini, Julia, Bröckel, Kyra Luisa, Leopold, Karolina, Berndt, Christina, Sauer, Cathrin, Maicher, Birgit, Juckel, Georg, Krüger-Özgürdal, Seza, Fallgatter, Andreas J., Lambert, Martin, Bechdolf, Andreas, Reif, Andreas, Matura, Silke, Biere, Silvia, Kittel-Schneider, Sarah, Stamm, Thomas, Bermpohl, Felix, Kircher, Tilo, Falkenberg, Irina, Jansen, Andreas, Dannlowski, Udo, Correll, Christoph U., Fusar-Poli, Paolo, Hempel, Lisa Marie, Mikolas, Pavol, Ritter, Philipp, Bauer, Michael, and Pfennig, Andrea

Published
2024
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16. Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups

Author

Boedhoe, Premika SW, van Rooij, Daan, Hoogman, Martine, Twisk, Jos WR, Schmaal, Lianne, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Anikin, Anatoly, Anticevic, Alan, Arango, Celso, Arnold, Paul D, Asherson, Philip, Assogna, Francesca, Auzias, Guillaume, Banaschewski, Tobias, Baranov, Alexander, Batistuzzo, Marcelo C, Baumeister, Sarah, Baur-Streubel, Ramona, Behrmann, Marlene, Bellgrove, Mark A, Benedetti, Francesco, Beucke, Jan C, Biederman, Joseph, Bollettini, Irene, Bose, Anushree, Bralten, Janita, Bramati, Ivanei E, Brandeis, Daniel, Brem, Silvia, Brennan, Brian P, Busatto, Geraldo F, Calderoni, Sara, Calvo, Anna, Calvo, Rosa, Castellanos, Francisco X, Cercignani, Mara, Chaim-Avancini, Tiffany M, Chantiluke, Kaylita C, Cheng, Yuqi, Cho, Kang Ik K, Christakou, Anastasia, Coghill, David, Conzelmann, Annette, Cubillo, Ana I, Dale, Anders M, Dallaspezia, Sara, Daly, Eileen, Denys, Damiaan, Deruelle, Christine, Di Martino, Adriana, Dinstein, Ilan, Doyle, Alysa E, Durston, Sarah, Earl, Eric A, Ecker, Christine, Ehrlich, Stefan, Ely, Benjamin A, Epstein, Jeffrey N, Ethofer, Thomas, Fair, Damien A, Fallgatter, Andreas J, Faraone, Stephen V, Fedor, Jennifer, Feng, Xin, Feusner, Jamie D, Fitzgerald, Jackie, Fitzgerald, Kate D, Fouche, Jean-Paul, Freitag, Christine M, Fridgeirsson, Egill A, Frodl, Thomas, Gabel, Matt C, Gallagher, Louise, Gogberashvili, Tinatin, Gori, Ilaria, Gruner, Patricia, Gürsel, Deniz A, Haar, Shlomi, Haavik, Jan, Hall, Geoffrey B, Harrison, Neil A, Hartman, Catharina A, Heslenfeld, Dirk J, Hirano, Yoshiyuki, Hoekstra, Pieter J, Hoexter, Marcelo Q, Hohmann, Sarah, Høvik, Marie F, Hu, Hao, Huyser, Chaim, Jahanshad, Neda, Jalbrzikowski, Maria, James, Anthony, Janssen, Joost, Jaspers-Fayer, Fern, Jernigan, Terry L, Kapilushniy, Dmitry, and Kardatzki, Bernd

Subjects
Attention Deficit Hyperactivity Disorder (ADHD), Behavioral and Social Science, Clinical Research, Mental Health, Neurosciences, Pediatric, Autism, Intellectual and Developmental Disabilities (IDD), Brain Disorders, 2.1 Biological and endogenous factors, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Neurological, Adolescent, Adult, Attention Deficit Disorder with Hyperactivity, Autism Spectrum Disorder, Cerebrum, Child, Female, Human Development, Humans, Male, Neuroimaging, Obsessive-Compulsive Disorder, Organ Size, Psychopathology, Research Report, Systems Analysis, ENIGMA ADHD working group, ENIGMA ASD working group, ENIGMA OCD working group, Attention Deficit Hyperactivity Disorder, ENIGMA, Structural MRI, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveAttention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD) are common neurodevelopmental disorders that frequently co-occur. The authors sought to directly compare these disorders using structural brain imaging data from ENIGMA consortium data.MethodsStructural T1-weighted whole-brain MRI data from healthy control subjects (N=5,827) and from patients with ADHD (N=2,271), ASD (N=1,777), and OCD (N=2,323) from 151 cohorts worldwide were analyzed using standardized processing protocols. The authors examined subcortical volume, cortical thickness, and cortical surface area differences within a mega-analytical framework, pooling measures extracted from each cohort. Analyses were performed separately for children, adolescents, and adults, using linear mixed-effects models adjusting for age, sex, and site (and intracranial volume for subcortical and surface area measures).ResultsNo shared differences were found among all three disorders, and shared differences between any two disorders did not survive correction for multiple comparisons. Children with ADHD compared with those with OCD had smaller hippocampal volumes, possibly influenced by IQ. Children and adolescents with ADHD also had smaller intracranial volume than control subjects and those with OCD or ASD. Adults with ASD showed thicker frontal cortices compared with adult control subjects and other clinical groups. No OCD-specific differences were observed across different age groups and surface area differences among all disorders in childhood and adulthood.ConclusionsThe study findings suggest robust but subtle differences across different age groups among ADHD, ASD, and OCD. ADHD-specific intracranial volume and hippocampal differences in children and adolescents, and ASD-specific cortical thickness differences in the frontal cortex in adults, support previous work emphasizing structural brain differences in these disorders.

Published
2020

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

Author

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

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

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

Published
2019

28. Neural correlates of attentional control in social anxiety disorder: the impact of early-life adversity and DNA methylation

Author

Wiegand, Ariane, Munk, Matthias H.J., Drohm, Sanja, Fallgatter, Andreas J., MacIsaac, Julia L., Kobor, Michael S., Nieratschker, Vanessa, and Kreifelts, Benjamin

Subjects
Nucleotide sequencing -- Methods, DNA sequencing -- Methods, Social phobia -- Genetic aspects, Health, Psychology and mental health
Abstract

Background: Social anxiety disorder is characterized by intense fear and avoidance of social interactions and scrutiny by others. Although alterations in attentional control seem to play a central role in the psychopathology of social anxiety disorder, the neural underpinnings in prefrontal brain regions have not yet been fully clarified. Methods: The present study used functional MRI in participants (age 18-50 yr) with social anxiety disorder (n = 42, 31 female) and without (n = 58, 33 female). It investigated the interrelation of the effects of social anxiety disorder and early-life adversity (a main environmental risk factor of social anxiety disorder) on brain activity during an attentional control task. We applied DNA methylation analysis to determine whether epigenetic modulation in the gene encoding the glucocorticoid receptor, NR3C1, might play a mediating role in this process. Results: We identified 2 brain regions in the left and medial prefrontal cortex that exhibited an interaction effect of social anxiety disorder and early-life adversity. In participants with low levels of early-life adversity, neural activity in response to disorder-related stimuli was increased in association with social anxiety disorder. In participants with high levels of early-life adversity, neural activity was increased only in participants without social anxiety disorder. NR3C1 DNA methylation partly mediated the effect of social anxiety disorder on brain activity as a function of early-life adversity. Limitations: The absence of behavioural correlates associated with social anxiety disorder limited functional interpretation of the results. Conclusion: These findings demonstrate that the neurobiological processes that underlie social anxiety disorder might be fundamentally different depending on experiences of early-life adversity. Long-lasting effects of early-life adversity might be encoded in NR3C1 DNA methylation and entail alterations in social anxiety disorder-related activity patterns in the neural network of attentional control., Introduction Social anxiety disorder is a psychiatric disorder characterized by excessive anxiety in social situations, centring around the fear of embarrassment and negative evaluation. A key element in the psychopathology [...]

Published
2021
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29. No Difference in the Neural Underpinnings of Number and Letter Copying in Children: Bayesian Analysis of Functional Near-Infrared Spectroscopy Data

Author

Soltanlou, Mojtaba, Coldea, Andra, Artemenko, Christina, Ehlis, Ann-Christine, Fallgatter, Andreas J., Nuerk, Hans-Christoph, and Dresler, Thomas

Abstract

It is under debate whether the neural representation of numbers and letters might rely on distinct neural correlates, or on a mostly shared neural network. In the present study, a total of 47 children in fifth grade (Experiment 1) and sixth grade (Experiment 2) simply copied numbers and letters on a touch screen while brain activation changes were recorded by means of functional near-infrared spectroscopy (fNIRS). fNIRS data of both experiments and a joint analysis revealed that a shared neural network, particularly in the left hemisphere, was activated in response to both number and letter copying. Interestingly, no difference was observed in brain activation patterns between these two stimuli, as revealed by Bayesian analysis. Our findings indicate that both number and letter copying lead to similar brain activation in children. We further suggest methodological and applied applications of these findings in the frame of educational neuroscience.

Published
2019
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37. Alpha-Synchronized Stimulation of the Dorsolateral Prefrontal Cortex (DLPFC) in Major Depression: A Proof-of-Principle EEG-TMS Study

Author

Zrenner, Brigitte, Gordon, Pedro, Kempf, Anna, Belardinelli, Paolo, McDermott, Eric, Soekadar, Surjo R., Fallgatter, Andreas J., Zrenner, Christoph, Ziemann, Ulf, Müller-Dahlhaus, Florian, Guglielmelli, Eugenio, Series Editor, Masia, Lorenzo, editor, Micera, Silvestro, editor, Akay, Metin, editor, and Pons, José L., editor

Published
2019
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40. The impact of emotional dysregulation and comorbid depressive symptoms on clinical features, brain arousal, and treatment response in adults with ADHD

Author

Huang, Jue, primary, Mauche, Nicole, additional, Ahlers, Eike, additional, Bogatsch, Holger, additional, Böhme, Pierre, additional, Ethofer, Thomas, additional, Fallgatter, Andreas J, additional, Gallinat, Jürgen, additional, Hegerl, Ulrich, additional, Heuser, Isabella, additional, Hoffmann, Knut, additional, Kittel-Schneider, Sarah, additional, Reif, Andreas, additional, Schöttle, Daniel, additional, Unterecker, Stefan, additional, and Strauß, Maria, additional

Published
2024
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41. Individuals at increased risk for development of bipolar disorder display structural alterations similar to people with manifest disease

Author

Mikolas, Pavol, Bröckel, Kyra, Vogelbacher, Christoph, Müller, Dirk K., Marxen, Michael, Berndt, Christina, Sauer, Cathrin, Jung, Stine, Fröhner, Juliane Hilde, Fallgatter, Andreas J., Ethofer, Thomas, Rau, Anne, Kircher, Tilo, Falkenberg, Irina, Lambert, Martin, Kraft, Vivien, Leopold, Karolina, Bechdolf, Andreas, Reif, Andreas, Matura, Silke, Stamm, Thomas, Bermpohl, Felix, Fiebig, Jana, Juckel, Georg, Flasbeck, Vera, Correll, Christoph U., Ritter, Philipp, Bauer, Michael, Jansen, Andreas, and Pfennig, Andrea

Published
2021
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44. Polygenic risk scores across the extended psychosis spectrum

Author

Smigielski, Lukasz, Papiol, Sergi, Theodoridou, Anastasia, Heekeren, Karsten, Gerstenberg, Miriam, Wotruba, Diana, Buechler, Roman, Hoffmann, Per, Herms, Stefan, Adorjan, Kristina, Anderson-Schmidt, Heike, Budde, Monika, Comes, Ashley L., Gade, Katrin, Heilbronner, Maria, Heilbronner, Urs, Kalman, Janos L., Klöhn-Saghatolislam, Farahnaz, Reich-Erkelenz, Daniela, Schaupp, Sabrina K., Schulte, Eva C., Senner, Fanny, Anghelescu, Ion-George, Arolt, Volker, Baune, Bernhard T., Dannlowski, Udo, Dietrich, Detlef E., Fallgatter, Andreas J., Figge, Christian, Jäger, Markus, Juckel, Georg, Konrad, Carsten, Nieratschker, Vanessa, Reimer, Jens, Reininghaus, Eva, Schmauß, Max, Spitzer, Carsten, von Hagen, Martin, Wiltfang, Jens, Zimmermann, Jörg, Gryaznova, Anna, Flatau-Nagel, Laura, Reitt, Markus, Meyers, Milena, Emons, Barbara, Haußleiter, Ida Sybille, Lang, Fabian U., Becker, Thomas, Wigand, Moritz E., Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Nöthen, Markus M., Andlauer, Till F. M., Rössler, Wulf, Walitza, Susanne, Falkai, Peter, Schulze, Thomas G., and Grünblatt, Edna

Published
2021
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