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1. Grey Matter Changes Associated with Heavy Cannabis Use: A Longitudinal sMRI Study.

Author

Laura Koenders, Janna Cousijn, Wilhelmina A M Vingerhoets, Wim van den Brink, Reinout W Wiers, Carin J Meijer, Marise W J Machielsen, Dick J Veltman, Anneke E Goudriaan, and Lieuwe de Haan

Subjects
Medicine, Science
Abstract

Cannabis is the most frequently used illicit drug worldwide. Cross-sectional neuroimaging studies suggest that chronic cannabis exposure and the development of cannabis use disorders may affect brain morphology. However, cross-sectional studies cannot make a conclusive distinction between cause and consequence and longitudinal neuroimaging studies are lacking. In this prospective study we investigate whether continued cannabis use and higher levels of cannabis exposure in young adults are associated with grey matter reductions. Heavy cannabis users (N = 20, age baseline M = 20.5, SD = 2.1) and non-cannabis using healthy controls (N = 22, age baseline M = 21.6, SD = 2.45) underwent a comprehensive psychological assessment and a T1- structural MRI scan at baseline and 3 years follow-up. Grey matter volumes (orbitofrontal cortex, anterior cingulate cortex, insula, striatum, thalamus, amygdala, hippocampus and cerebellum) were estimated using the software package SPM (VBM-8 module). Continued cannabis use did not have an effect on GM volume change at follow-up. Cross-sectional analyses at baseline and follow-up revealed consistent negative correlations between cannabis related problems and cannabis use (in grams) and regional GM volume of the left hippocampus, amygdala and superior temporal gyrus. These results suggests that small GM volumes in the medial temporal lobe are a risk factor for heavy cannabis use or that the effect of cannabis on GM reductions is limited to adolescence with no further damage of continued use after early adulthood. Long-term prospective studies starting in early adolescence are needed to reach final conclusions.

Published
2016
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3. Cortical thickness across the lifespan

Author

Simon E. Fisher, Eveline A. Crone, Dominik Grotegerd, Jilly Naaijen, Anders M. Dale, Sean N. Hatton, Ramona Baur-Streubel, Anthony A. James, Daniel Brandeis, Andrew J. Kalnin, Andreas Reif, Hans-Jörgen Grabe, Pieter J. Hoekstra, Lars Nyberg, Fleur M. Howells, Moji Aghajani, Randy L. Buckner, Daniel A. Rinker, Steven G. Potkin, Dennis van 't Ent, Rachel M. Brouwer, Sophia Frangou, Yang Wang, Nhat Trung Doan, Theodore D. Satterthwaite, Christine Lochner, Geraldo F. Busatto, Lars T. Westlye, Lara M. Wierenga, Calhoun Vd, Henry Brodaty, Carles Soriano-Mas, Annette Conzelmann, Christian K. Tamnes, Julian N. Trollor, Nicholas G. Martin, Neeltje E.M. van Haren, René S. Kahn, Irina Lebedeva, Philip Asherson, Suzanne C. Swagerman, John A. Joska, Theophilus N. Akudjedu, Kang Sim, Lachlan T. Strike, Patricia Gruner, Brenna C. McDonald, Thomas Frodl, Edith Pomarol-Clotet, Víctor Ortiz-García de la Foz, Margaret J. Wright, Norbert Hosten, Jean-Paul Fouche, Bernd Weber, Salvador Sarró, Wei Wen, Dag Alnæs, Greig I. de Zubicaray, Iris E. C. Sommer, Marise W. J. Machielsen, Knut Schnell, Dara M. Cannon, Paola Fuentes-Claramonte, Josiane Bourque, Andreas Meyer-Lindenberg, Anton Albajes-Eizagirre, Sarah Hohmann, Erin W. Dickie, Theo G.M. van Erp, Micael Andersson, Paul Pauli, Thomas Espeseth, Heather C. Whalley, Victoria Chubar, Ruben C. Gur, Tomohiro Nakao, Xavier Caseras, Alessandro Bertolino, Ignacio Martínez-Zalacaín, Katharina Wittfeld, Erick J. Canales-Rodríguez, David C. Glahn, Neda Jahanshad, Jiyang Jiang, Katie L. McMahon, Stefan Borgwardt, Erlend S. Dørum, Jaap Oosterlaan, Won Hee Lee, Alan Breier, Steven Williams, Aristotle N. Voineskos, Bernard Mazoyer, Jordan W. Smoller, Nancy C. Andreasen, Ilya M. Veer, Tiffany M. Chaim-Avancini, Sophie Maingault, Paul M. Thompson, Eco J. C. de Geus, Luisa Lázaro, Giulio Pergola, Efstathios Papachristou, Beng-Choon Ho, David Mataix-Cols, Esther Walton, Ben J. Harrison, Dirk J. Heslenfeld, Pablo Najt, Helena Fatouros-Bergman, Derrek P. Hibar, Gunter Schumann, Raymond Salvador, Lieuwe de Haan, Henry Völzke, Joaquim Radua, Henk Temmingh, Lianne Schmaal, Martine Hoogman, Daniel H. Wolf, Georg C. Ziegler, Marieke Klein, Barbara Franke, Erik G. Jönsson, Laura Koenders, Stefan Ehrlich, Oliver Gruber, Ingrid Agartz, Kun Yang, Ryota Kanai, Sarah Baumeister, Colm McDonald, Annabella Di Giorgio, Amanda Worker, Anne Uhlmann, Marcus V. Zanetti, Danai Dima, Matthew D. Sacchet, Sarah E. Medland, Aurora Bonvino, Benedicto Crespo-Facorro, Jan Egil Nordvik, Joshua L. Roffman, Yannis Paloyelis, Jessica A. Turner, T. P. Klyushnik, Christopher G. Davey, Rachel E. Gur, Ian B. Hickie, Christopher R.K. Ching, Jonna Kuntsi, Tobias Banaschewski, Chaim Huyser, Amirhossein Modabbernia, John D. West, Fabrice Crivello, Núria Bargalló, Patricia J. Conrod, Nic J.A. van der Wee, Mauricio H. Serpa, Thomas H. Wassink, Kathryn I. Alpert, Dick J. Veltman, Andrew J. Saykin, Genevieve McPhilemy, Perminder S. Sachdev, Vincent P. Clark, Ian H. Gotlib, Susanne Erk, Henrik Walter, Dennis van den Meer, Simon Cervenka, Oliver Grimm, Andrew M. McIntosh, Alexander Tomyshev, Francisco X. Castellanos, Bernd Kramer, Klaus-Peter Lesch, Odile A. van den Heuvel, Sophia I. Thomopoulos, Diana Tordesillas-Gutiérrez, Terry L. Jernigan, Yulyia Yoncheva, Anouk den Braber, Jim Lagopoulos, Maria J. Portella, Ole A. Andreassen, Gaelle E. Doucet, Avram J. Holmes, Nynke A. Groenewold, Pedro G.P. Rosa, Hilleke E. Hulshoff Pol, Sanne Koops, José M. Menchón, Jan K. Buitelaar, Dan J. Stein, Dorret I. Boomsma, Lei Wang, C.A. Hartman, Pascual Sánchez-Juan, Andreas Heinz, European Commission, National Institute of Child Health and Human Development (US), QIMR Berghofer Medical Research Institute (Australia), University of Queensland, National Cancer Institute (US), Dutch Research Council, Netherlands Organisation for Health Research and Development, National Institute of Mental Health (US), European Research Council, National Center for Advancing Translational Sciences (US), Medical Research Council (UK), Fundación Marques de Valdecilla, Instituto de Salud Carlos III, Swedish Research Council, South-Eastern Norway Regional Health Authority, Research Council of Norway, Icahn School of Medicine at Mount Sinai, South London and Maudsley NHS Foundation Trust, NHS Foundation Trust, National Institute for Health Research (UK), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Developmental Neuroscience in Society, Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, APH - Mental Health, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Child Psychiatry, ANS - Cellular & Molecular Mechanisms, General Paediatrics, ARD - Amsterdam Reproduction and Development, Karolinska Schizophrenia Project (KaSP), Ontwikkelingspsychologie (Psychologie, FMG), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Epidemiology and Data Science, Neurology, Amsterdam Neuroscience - Neurodegeneration, Pediatric surgery, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Brain Imaging, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Biological Psychology, APH - Methodology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Educational and Family Studies, Cognitive Psychology, IBBA, Clinical Neuropsychology, Faculty of Behavioural and Movement Sciences, and APH - Personalized Medicine

Subjects
Male, Aging, Neurologi, Audiology, Trajectories, 0302 clinical medicine, 130 000 Cognitive Neurology & Memory, diagnostic imaging [Cerebral Cortex], Child, Research Articles, Cerebral Cortex, Psychiatry, Aged, 80 and over, Radiological and Ultrasound Technology, Fractional polynomial, 05 social sciences, Radiology, Nuclear Medicine & Medical Imaging, 1. No poverty, Cognition, Middle Aged, Cerebral cortex, Regression, 3. Good health, Escorça cerebral, Neurology, Radiology Nuclear Medicine and imaging, Healthy individuals, Child, Preschool, anatomy & histology [Cerebral Cortex], Female, Analysis of variance, Anatomy, Life Sciences & Biomedicine, Trajectorie, Research Article, Neuroinformatics, Adult, medicine.medical_specialty, Adolescent, Human Development, Clinical Neurology, BF, Neuroimaging, Biology, Development, 050105 experimental psychology, Psykiatri, Cortical thickness, 03 medical and health sciences, Young Adult, Neuroimaging genetics, Envelliment, medicine, Humans, trajectories, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, ddc:610, development, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Science & Technology, Brain morphometry, aging, Neurosciences, cortical thickness, Cross-Sectional Studies, RC0321, Neurology (clinical), Neurosciences & Neurology, 030217 neurology & neurosurgery, physiology [Human Development]
Abstract

Special Issue: The ENIGMA Consortium: the first 10 years., Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes., European Community's Seventh Framework Programme, Grant/Award Numbers: 278948, 602450, 603016, 602805; US National Institute of Child Health and Human Development, Grant/Award Numbers: RO1HD050735, 1009064, 496682; QIMR Berghofer Medical Research Institute and the Centre for Advanced Imaging, University of Queensland; ICTSI NIH/NCRR, Grant/Award Number: RR025761; European Community's Horizon 2020 Programme, Grant/Award Numbers: 667302, 643051; Vici Innovation Program, Grant/Award Numbers: #91619115, 016-130-669; NWO Brain & Cognition Excellence Program, Grant/Award Number: 433-09-229; Biobanking and Biomolecular Resources Research Infrastructure (Netherlands) (BBMRI-NL); Spinozapremie, Grant/Award Number: NWO-56-464-14192; Biobanking and Biomolecular Resources Research Infrastructure, Grant/Award Numbers: 184.033.111, 184.021.007; Netherlands Organization for Health Research and Development (ZonMW), Grant/Award Numbers: 480-15-001/674, 024.001.003, 911-09-032, 056-32-010, 481-08-011, 016-115-035, 31160008, 400-07-080, 400-05-717, 451-04-034, 463-06-001, 480-04-004, 904-61-193, 912-10-020, 985-10-002, 904-61-090; NIMH, Grant/Award Number: R01 MH090553; Geestkracht programme of the Dutch Health Research Council, Grant/Award Number: 10-000-1001; FP7 Ideas: European Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Grant/Award Numbers: NWO/SPI 56-464-14192, NWO-MagW 480-04-004, 433-09-220, NWO 51.02.062, NWO 51.02.061; National Center for Advancing Translational Sciences, National Institutes of Health, Grant/Award Number: UL1 TR000153; National Center for Research Resources; National Center for Research Resources at the National Institutes of Health, Grant/Award Numbers: NIH 1U24 RR025736-01, NIH 1U24 RR021992; NIH Institutes contributing to the Big Data to Knowledge; U.S. National Institutes of Health, Grant/Award Numbers: R01 CA101318, P30 AG10133, R01 AG19771; Medical Research Council, Grant/Award Numbers: U54EB020403, G0500092; National Institute of Mental Health, Grant/Award Numbers: R01MH117014, R01MH042191; Fundación Instituto de Investigación Marqués de Valdecilla, Grant/Award Numbers: API07/011, NCT02534363, NCT0235832; Instituto de Salud Carlos III, Grant/Award Numbers: PI14/00918, PI14/00639, PI060507, PI050427, PI020499; Swedish Research Council, Grant/Award Numbers: 523-2014-3467, 2017-00949, 521-2014-3487; South-Eastern Norway Health Authority; the Research Council of Norway, Grant/Award Number: 223273; South Eastern Norway Regional Health Authority, Grant/Award Numbers: 2017-112, 2019107; Icahn School of Medicine at Mount Sinai; Seventh Framework Programme (FP7/2007-2013), Grant/Award Number: 602450; National Institutes of Health, Grant/Award Numbers: R01 MH116147, R01 MH113619, R01 MH104284; South London and Maudsley NHS Foundation Trust; the National Institute for Health Research (NIHR)

Published
2022

4. Greater male than female variability in regional brain structure across the lifespan

Author

Erick J. Canales-Rodríguez, Hans J. Grabe, Dirk J. Heslenfeld, Erik G. Jönsson, Oliver Gruber, Daniel Brandeis, Yang Wang, Henry Brodaty, Ruben C. Gur, Iris E. C. Sommer, Paul M. Thompson, Knut K. Kolskår, Christopher G. Davey, Dick J. Veltman, Eco J. C. de Geus, Tobias Banaschewski, Greig I. Zubicaray, Xavier Caseras, Sarah Baumeister, Raquel E. Gur, Vincent P. Clark, Maria J. Portella, Simon E. Fisher, Christopher R.K. Ching, Lars T. Westlye, Laura Koenders, Vince D. Calhoun, Carles Soriano-Mas, Nicholas G. Martin, Stefan Ehrlich, Fleur M. Howells, Catharina A. Hartman, Matthew D. Sacchet, Ole A. Andreassen, Josiane Bourque, Fabrice Crivello, Annette Conzelmann, Jaap Oosterlaan, Brenna C. McDonald, Gaelle E. Doucet, Avram J. Holmes, José M. Menchón, Danai Dima, Moji Aghajani, Joshua L. Roffman, Steven Williams, Lei Wang, David Mataix-Cols, Philip R. Szeszko, Bernd Weber, Tiril P. Gurholt, Sarah Hohmann, Ian H. Gotlib, Patricia Gruner, Anthony C. James, Paul Pauli, Lara M. Wierenga, Andrew M. McIntosh, Andrew J. Kalnin, Jim Lagopoulos, Henrik Walter, Andreas Reif, Andrew Simmons, Norbert Hosten, Pieter J. Hoekstra, Aristotle Voineskos, Alexander Tomyshev, Anton Albajes-Eizagirre, Jean-Paul Fouche, Dara M. Cannon, Ignacio Martínez‐Zalacaín, Geneviève Richard, Theophilus N. Akudjedu, David C. Glahn, Patricia J. Conrod, Ben J. Harrison, Alan Anticevic, Martine Hoogman, Francisco X. Castellanos, Bernd Kramer, Neda Jahanshad, Lieuwe de Haan, Dennis van der Meer, John D. West, Alan Breier, Jordan W. Smoller, P. G. P. Rosa, Katharina Wittfeld, Dan J. Stein, Jiyang Jiang, Jilly Naaijen, Christine Lochner, Dorret I. Boomsma, Alessandro Bertolino, Marise W. J. Machielsen, Hilleke E. Hulshoff Pol, Henry Völzke, Christian K. Tamnes, Ingrid Agartz, Georg C. Ziegler, Marieke Klein, Lars Nyberg, Perminder S. Sachdev, Philip Asherson, I.M. Veer, Sean N. Hatton, Núria Bargalló, Annabella Di Giorgio, Henk Temmingh, John A. Joska, Odile A. van den Heuvel, Wei Wen, Eveline A Crone, Kang Sim, Kathryn I. Alpert, Dennis van 't Ent, Jan K. Buitelaar, Joaquim Radua, Julian N. Trollor, B Mazoyer, Chaim Huyser, H. C. Whalley, Irina Lebedeva, Erin W. Dickie, Marcus Vinicus Zanetti, Stefan Borgwardt, Theodore D. Satterthwaite, Daniel H Wolf, Sophia I. Thomopoulos, Giulio Pergola, Luisa Lazaro, Ramona Baur-Streubel, Beathe Haatveit, Yannis Paloyelis, Ian B. Hickie, Jonna Kuntsi, Sophia Frangou, R. Salvador, Geraldo F. Busatto, Margaret J. Wright, Aurora Bonvino, Edith Pomarol-Clotet, Anouk den Braber, Lachlan T. Strike, Phil Lee, Anne Uhlmann, Yuliya N. Yoncheva, Mauricio H. Serpa, Dag Alnæs, Paola Fuentes-Claramonte, Katie L. McMahon, Andrew J. Saykin, Genevieve McPhilemy, Tiffany M. Chaim-Avancini, Sophie Maingault, Barbara Franke, Colm McDonald, Rachel M. Brouwer, Salvador Sarró, Department of Psychology, Education and Child Studies, Biological Psychology, APH - Mental Health, APH - Methodology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, AMS - Ageing & Vitality, AMS - Sports, APH - Personalized Medicine, Cognitive Psychology, Clinical Neuropsychology, IBBA, Karolinska Schizophrenia Project (KaSP) Consortium, Adult Psychiatry, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Child Psychiatry, ANS - Cellular & Molecular Mechanisms, ANS - Amsterdam Neuroscience, General Paediatrics, ARD - Amsterdam Reproduction and Development, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Movement Disorder (MD), Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Neurology, Amsterdam Neuroscience - Neurodegeneration, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Pediatric surgery, and Amsterdam Neuroscience - Brain Imaging

Subjects
Male, Netherlands Twin Register (NTR), SEGMENTATION, Vulnerability, Disease, HM, 0302 clinical medicine, Anàlisi de variància, 130 000 Cognitive Neurology & Memory, diagnostic imaging [Cerebral Cortex], sexual characteristics, Analysis of variance, nuclear magnetic resonance imaging, Cervell, Research Articles, Cerebral Cortex, Sex Characteristics, Radiological and Ultrasound Technology, 05 social sciences, Brain, clinical trial, Brain Structure, Magnetic Resonance Imaging, Early life, Adolescence, medicine.anatomical_structure, Neurology, Cerebral cortex, Healthy individuals, X-CHROMOSOME, anatomy & histology [Cerebral Cortex], Evolution of the brain, Female, Anatomy, Neurovetenskaper, Research Article, Radiology, Nuclear Medicine and Medical Imaging, Neuroinformatics, SEX-DIFFERENCES, diagnostic imaging, brain, Human Development, BF, Neuroimaging, SURFACE-AREA, Evolució del cervell, Regional area, Biology, MULTISAMPLE, 050105 experimental psychology, brain cortex, 03 medical and health sciences, CEREBRAL-CORTEX, Sex differences, medicine, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, human, ddc:610, Cortical surface, GENERAL INTELLIGENCE, diagnostic imaging [Brain], METAANALYSIS, biological variation, HUMAN HIPPOCAMPUS, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], physiology [Biological Variation, Population], Neurosciences, Gender, Brain Cortical Thickness, multicenter study, Biological Variation, Population, Diferències entre sexes, physiology, RC0321, Radiologi och bildbehandling, Neurology (clinical), anatomy & histology [Brain], 170 000 Motivational & Cognitive Control, 030217 neurology & neurosurgery, anatomy and histology, meta analysis, physiology [Human Development], Demography
Abstract

Contains fulltext : 248376.pdf (Publisher’s version ) (Open Access) For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents the largest-ever mega-analysis of sex differences in variability of brain structure, based on international data spanning nine decades of life. Subcortical volumes, cortical surface area and cortical thickness were assessed in MRI data of 16,683 healthy individuals 1-90 years old (47% females). We observed significant patterns of greater male than female between-subject variance for all subcortical volumetric measures, all cortical surface area measures, and 60% of cortical thickness measures. This pattern was stable across the lifespan for 50% of the subcortical structures, 70% of the regional area measures, and nearly all regions for thickness. Our findings that these sex differences are present in childhood implicate early life genetic or gene-environment interaction mechanisms. The findings highlight the importance of individual differences within the sexes, that may underpin sex-specific vulnerability to disorders.

Published
2022

5. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years

Author

Tiffany M. Chaim-Avancini, Suzanne C. Swagerman, Sophie Maingault, Mauricio H. Serpa, Kang Sim, Patricia Gruner, Dara M. Cannon, Esther Walton, Gunter Schumann, Christopher R.K. Ching, Simon E. Fisher, Tomohiro Nakao, Nhat Trung Doan, Sophia I. Thomopoulos, Diana Tordesillas-Gutiérrez, Ilya M. Veer, Lieuwe de Haan, Paul Pauli, Derrek P. Hibar, Kun Yang, Dan J. Stein, Dominik Grotegerd, Víctor Ortiz-García de la Foz, Daniel Brandeis, Sarah Baumeister, Xavier Caseras, Fabrice Crivello, Vincent P. Clark, Maria J. Portella, Salvador Sarró, Dorret I. Boomsma, Henry Völzke, Daniel H. Wolf, Lianne Schmaal, Yannis Paloyelis, Barbara Franke, Matthew D. Sacchet, Anne Uhlmann, Yulyia Yoncheva, Ole A. Andreassen, Erick J. Canales-Rodríguez, Ingrid Agartz, Anouk den Braber, Colm McDonald, Edith Pomarol-Clotet, Anders M. Dale, Calhoun Vd, David Mataix-Cols, Ignacio Martínez-Zalacaín, Joshua L. Roffman, Andrew J. Kalnin, Anton Albajes-Eizagirre, Andreas Reif, Won Hee Lee, Gaelle E. Doucet, Hans-Jörgen Grabe, Pieter J. Hoekstra, Avram J. Holmes, Theophilus N. Akudjedu, Ian H. Gotlib, Fleur M. Howells, Andrew J. Saykin, Genevieve McPhilemy, Moji Aghajani, David C. Glahn, Rachel M. Brouwer, Núria Bargalló, Knut Schnell, Katharina Wittfeld, Thomas Frodl, Josiane Bourque, Ryota Kanai, Raymond Salvador, Sean N. Hatton, Terry L. Jernigan, Helena Fatouros-Bergman, Oliver Grimm, Marise W. J. Machielsen, Victoria Chubar, Henk Temmingh, Andrew M. McIntosh, Georg C. Ziegler, Marieke Klein, T. P. Klyushnik, Iris E. C. Sommer, Heather C. Whalley, Rachel E. Gur, Alan Breier, Jordan W. Smoller, Kathryn I. Alpert, Dick J. Veltman, Neda Jahanshad, Sophia Frangou, Jiyang Jiang, Jessica A. Turner, Eveline A. Crone, Thomas Espeseth, Alexander Tomyshev, Christine Lochner, Anthony A. James, Aristotle N. Voineskos, Julian N. Trollor, Efstathios Papachristou, Beng-Choon Ho, Pablo Najt, Christian K. Tamnes, Geraldo F. Busatto, Stefan Borgwardt, Andreas Meyer-Lindenberg, Philip Asherson, Francisco X. Castellanos, Bernd Kramer, Jim Lagopoulos, Marcus V. Zanetti, Joaquim Radua, John A. Joska, Giulio Pergola, Nynke A. Groenewold, Erlend S. Dørum, Henrik Walter, Jan Egil Nordvik, Alessandro Bertolino, Wei Wen, Klaus-Peter Lesch, Ian B. Hickie, Pedro G.P. Rosa, Randy L. Buckner, Daniel A. Rinker, Hilleke E. Hulshoff Pol, Steven G. Potkin, Odile A. van den Heuvel, Nancy C. Andreasen, Sanne Koops, Amanda Worker, Susanne Erk, Lei Wang, Norbert Hosten, Jean-Paul Fouche, Dennis van 't Ent, Jonna Kuntsi, Dennis van den Meer, Simon Cervenka, C.A. Hartman, Nicholas G. Martin, Carles Soriano-Mas, Neeltje E.M. van Haren, Pascual Sánchez-Juan, Andreas Heinz, Brenna C. McDonald, Thomas H. Wassink, José M. Menchón, Katie L. McMahon, Jan K. Buitelaar, Sarah E. Medland, Aurora Bonvino, Patricia J. Conrod, Nic J.A. van der Wee, Paul M. Thompson, Micael Andersson, Perminder S. Sachdev, Lars Nyberg, Eco J. C. de Geus, Ramona Baur-Streubel, Lachlan T. Strike, Dag Alnæs, Paola Fuentes-Claramonte, Ben J. Harrison, Martine Hoogman, Lars T. Westlye, Annette Conzelmann, Annabella Di Giorgio, Benedicto Crespo-Facorro, Sarah Hohmann, Jilly Naaijen, Yang Wang, Henry Brodaty, Greig I. de Zubicaray, Laura Koenders, Ruben C. Gur, Stefan Ehrlich, Danai Dima, Christopher G. Davey, Tobias Banaschewski, Amirhossein Modabbernia, Dirk J. Heslenfeld, Erik G. Jönsson, Oliver Gruber, Theodore D. Satterthwaite, René S. Kahn, Margaret J. Wright, Jaap Oosterlaan, Steven Williams, Bernard Mazoyer, Lara M. Wierenga, Bernd Weber, Luisa Lázaro, Irina Lebedeva, Erin W. Dickie, Chaim Huyser, John D. West, Theo G.M. van Erp, National Institute of Mental Health (US), Karolinska Institute, Stockholm County Council, South-Eastern Norway Regional Health Authority, German Centre for Cardiovascular Research, Siemens Healthcare, University of Queensland, Eunice Kennedy Shriver National Institute of Child Health and Human Development (US), National Health and Medical Research Council (Australia), National Institute on Drug Abuse (US), Indiana State Department of Health, Parents of children with epilepsy, Epilepsy Therapy Project, Fight Against Childhood Epilepsy and Seizures, Epilepsy Foundation, American Epilepsy Society, Knut and Alice Wallenberg Foundation, European Commission, Dutch Research Council, Netherlands Organization for Scientific Research, Netherlands Brain Foundation, Utrecht University, European Research Council, National Center for Advancing Translational Sciences (US), National Institutes of Health (US), National Center for Research Resources (US), Fundación Marques de Valdecilla, Instituto de Salud Carlos III, Swedish Research Council, Kings College London, South London and Maudsley NHS Foundation Trust, NIHR Biomedical Research Centre (UK), National Institute for Health Research (UK), RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Karolinska Schizophrenia Project (KaSP), Biological Psychology, APH - Mental Health, APH - Methodology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Educational and Family Studies, Cognitive Psychology, IBBA, Clinical Neuropsychology, Faculty of Behavioural and Movement Sciences, APH - Personalized Medicine, Developmental Neuroscience in Society, Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Child Psychiatry, ANS - Cellular & Molecular Mechanisms, General Paediatrics, ARD - Amsterdam Reproduction and Development, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Neurology, Amsterdam Neuroscience - Neurodegeneration, Pediatric surgery, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, and Amsterdam Neuroscience - Brain Imaging

Subjects
Male, diagnostic imaging [Corpus Striatum], Physiology, Hippocampus, Edat, Morfologia (Biologia), Lateral ventricles, anatomy & histology [Corpus Striatum], 0302 clinical medicine, Thalamus, 130 000 Cognitive Neurology & Memory, Basal ganglia, diagnostic imaging [Amygdala], Child, Cervell, Research Articles, diagnostic imaging [Hippocampus], Aged, 80 and over, Radiological and Ultrasound Technology, Putamen, Radiology, Nuclear Medicine & Medical Imaging, 05 social sciences, ENIGMA, Multisi, Brain, Middle Aged, Amygdala, 3. Good health, Neurology, Child, Preschool, Brain size, Female, Anatomy, Life Sciences & Biomedicine, Neurovetenskaper, Research Article, Neuroinformatics, Adult, Adolescent, anatomy & histology [Hippocampus], Human Development, multisite, BF, Neuroimaging, Nucleus accumbens, Biology, Brain morphometry, Morphology (Biology), 050105 experimental psychology, Young Adult, 03 medical and health sciences, Age, Longitudinal trajectories, brain morphometry, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, ddc:610, anatomy & histology [Thalamus], Aged, diagnostic imaging [Thalamus], Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Science & Technology, Neurosciences, Corpus Striatum, nervous system, anatomy & histology [Amygdala], RC0321, Neurosciences & Neurology, longitudinal trajectories, Neurology (clinical), 030217 neurology & neurosurgery, physiology [Human Development]
Abstract

Special Issue: The ENIGMA Consortium: the first 10 years.-- Karolinska Schizophrenia Project (KaSP)., Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related trajectories inferred from cross-sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3–90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter-individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age-related morphometric patterns., National Institute of Mental Health, Grant/Award Numbers: MH104284, MH116147, R01MH113619, R01 MH090553, R01MH117014, R01MH042191; Karolinska Institutet; Stockholm County Council; Southern and Eastern Norway Regional Health Authority; German Centre for Cardiovascular Research; DZHK; Siemens Healthineers; University of Queensland; US National Institute of Child Health and Human Development, Grant/Award Number: RO1HD050735; Australian National Health and Medical Research Council; Eunice Kennedy Shriver National Institute of Child Health & Human Development; National Institute on Drug Abuse, Grant/Award Numbers: UL1 TR000153, 1 U24 RR025736-01, 1 U24 RR021992; Brain Injury Fund Research Grant Program; Indiana State Department of Health Spinal Cord; Parents Against Childhood Epilepsy; Epilepsy Therapy Project, Fight Against Childhood Epilepsy and Seizures; Epilepsy Foundation; American Epilepsy Society; Knut and Alice Wallenberg Foundation; European Community's Horizon 2020 Programme; Vici Innovation Program; NWO Brain & Cognition Excellence Program; Netherlands Organization for Scientific Research; Hersenstichting Nederland; Netherlands Organization for Health Research and Development; Geestkracht Programme of the Dutch Health Research Council, Grant/Award Number: 10-000-1001; Universiteit Utrecht; FP7 Ideas: European Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Center for Advancing Translational Sciences; National Institutes of Health; National Center for Research Resources; Consortium grant, Grant/Award Number: U54 EB020403; U.S. National Institutes of Health, Grant/Award Numbers: R01 CA101318, P30 AG10133, R01 AG19771; Medical Research Council, Grant/Award Number: G0500092; Fundación Instituto de Investigación Marqués de Valdecilla, Grant/Award Numbers: API07/011, NCT02534363, NCT0235832; Instituto de Salud Carlos III, Grant/Award Numbers: PI14/00918, PI14/00639, PI060507, PI050427, PI020499; the Research Council, Grant/Award Number: 223273; South Eastern Norway Regional Health Authority, Grant/Award Numbers: 2017-112, 2019107; Swedish Research Council; European Community's Seventh Framework Programme, Grant/Award Number: 602450; King's College London; South London and Maudsley NHS Foundation Trust; Biomedical Research Centre; National Institute for Health Research.

Published
2021

8. Cortical Thickness Trajectories across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years

Author

Stefan Ehrlich, Danai Dima, Nhat Trung Doan, Simon E. Fisher, Dominik Grotegerd, Nicholas G. Martin, Tiffany M. Chaim-Avancini, Sophie Maingault, Sean N. Hatton, Derrek P. Hibar, Vincent P. Clark, Anders M. Dale, Iris E. C. Sommer, Ben J. Harrison, Annabella Di Giorgio, Benedicto Crespo-Facorro, Ian H. Gotlib, Andrew J. Kalnin, Andreas Reif, Edith Pomarol-Clotet, Thomas Espeseth, Theodore D. Satterthwaite, Pieter J. Hoekstra, René S. Kahn, Margaret J. Wright, Núria Bargalló, Maria J. Portella, Thomas Frodl, Lianne Schmaal, Chaim Huyser, Sophia I. Thomopoulos, Odille A van den Heuvel, Rachel M. Brouwer, Rachel E. Gur, Stefan Borgwardt, Marise W. J. Machielsen, Kathryn I. Alpert, Dick J. Veltman, Sim Kang, Irina V. Lebedeva, Marcus V. Zanetti, Anne Uhlmann, Christopher R.K. Ching, John D. West, Paul Pauli, Susanne Erk, Xavier Caseras, Kun Yang, Randy L. Buckner, Julian N. Trollor, Katharina Wittfeld, Fabrice Crivello, Theo G.M. van Erp, Luisa Lázaro, Jan Egil Nordvik, Sarah Baumeister, Steven G. Potkin, Calhoun Vd, Ian B. Hickie, Giulio Pergola, Henrik Walter, Katie L. McMahon, Theophilus N. Akudjedu, Patricia J. Conrod, Nic J.A. van der Wee, Won Hee Lee, Dennis van 't Ent, Barbara Franke, Knut Schnell, Josiane Bourque, Matthew D. Sacchet, Perminder S. Sachdev, Esther Walton, Raymond Salvador, Colm McDonald, Gunter Schumann, Paul M. Thompson, Georg C. Ziegler, Erin W. Dickie, Christine Lochner, Andreas Meyer-Lindenberg, Eco J. C. de Geus, Ole A. Andreassen, Joshua L. Roffman, Oliver Grimm, Andrew M. McIntosh, Ryota Kanai, Mauricio H. Serpa, Dennis van den Meer, Jessica A. Turner, Simon Cervenka, Alexander Tomyshev, Lara M. Wierenga, Francisco X. Castellanos, Bernd Kramer, Erlend S. Dørum, Alessandro Bertolino, P. G. P. Rosa, Avram J. Holmes, Klaus-Peter Lesch, Norbert Hosten, Hilleke E. Hulshoff Pol, Jean-Paul Fouche, Neda Jahanshad, Daniel Brandeis, José M. Menchón, Jiyang Jiang, Jan K. Buitelaar, Andrew J. Saykin, Genevieve McPhilemy, Efstathios Papachristou, Hans-Jörgen Grabe, Bernd Weber, Beng-Choon Ho, Pablo Najt, Fleur M. Howells, Yannis Paloyelis, Lieuwe de Haan, Lachlan T. Strike, Dag Alnæs, David Mataix-Cols, Henry Völzke, Daniel H. Wolf, Suzanne C. Swagerman, Paola Fuentes-Claramonte, Marieke Klein, Patricia Gruner, Anthony A. James, Ingrid Agartz, Dara M. Cannon, Jim Lagopoulos, Geraldo F. Busatto, Tomohiro Nakao, Dan J. Stein, Gaelle E Doucet, Erick J. Canales-Rodríguez, Cristopher Davey, Tatyana P Klushnik, Jaap Oosterlaan, Ilya M. Veer, Steven Williams, Bernard Mazoyer, Helena Fatouros-Bergman, Yulyia Yoncheva, Ramona Baur-Streubel, Anouk den Braber, Nynke A. Groenewold, Salvador Sarró, Ignacio Martínez-Zalacaín, Sanne Koops, M. Aghajani, Lei Wang, Sarah E. Medland, C.A. Hartman, Aurora Bonvino, Pascual Sánchez-Juan, Andreas Heinz, Tobias Banaschewski, Amirhossein Modabbernia, Jilly Naaijen, Yang Wang, Sophia Frangou, Henry Brodaty, Henk Temmingh, Greig I. de Zubicaray, Nancy C. Andreasen, Carles Soriano-Mas, Neeltje E.M. van Haren, Brenna C. McDonald, Ruben C. Gur, Micael Andersson, Dorret I. Boomsma, Dirk J. Heslenfeld, Erik G. Jönsson, Oliver Gruber, Víctor Ortiz-García de la Foz, Anton Albajes-Eizagirre, David C. Glahn, Alan Breier, Heather C. Whalley, Jordan W. Smoller, Joaquim Radua, Christian K. Tamnes, Eveline A. Crone, Philip Asherson, John A. Joska, Wei Wen, Jonna Kuntsi, Lars Nyberg, Thomas H. Wassink, Diana Tordesillas-Gutiérrez, Martine Hoogman, Lars T. Westlye, Annette Conzelmann, Sarah Hohmann, and Laura Koenders

Subjects
0303 health sciences, medicine.medical_specialty, Fractional polynomial, Cognition, Audiology, Biology, Regression, Pooling data, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging genetics, Healthy individuals, medicine, General pattern, Analysis of variance, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Delineating age-related cortical trajectories in healthy individuals is critical given the association of cortical thickness with cognition and behaviour. Previous research has shown that deriving robust estimates of age-related brain morphometric changes requires large-scale studies. In response, we conducted a large-scale analysis of cortical thickness in 17,075 individuals aged 3-90 years by pooling data through the Lifespan Working group of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium. We used fractional polynomial (FP) regression to characterize age-related trajectories in cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma (LMS) method. Inter-individual variability was estimated using meta-analysis and one-way analysis of variance. Overall, cortical thickness peaked in childhood and had a steep decrease during the first 2-3 decades of life; thereafter, it showed a gradual monotonic decrease which was steeper in men than in women particularly in middle-life. Notable exceptions to this general pattern were entorhinal, temporopolar and anterior cingulate cortices. Inter-individual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results reconcile uncertainties about age-related trajectories of cortical thickness; the centile values provide estimates of normative variance in cortical thickness, and may assist in detecting abnormal deviations in cortical thickness, and associated behavioural, cognitive and clinical outcomes.

Published
2020

9. Subcortical Volume Trajectories across the Lifespan: Data from 18,605 healthy individuals aged 3-90 years

Author

Lara M. Wierenga, Iris E. C. Sommer, Edith Pomarol-Clotet, Erick J. Canales-Rodríguez, van Erp Tg, Lars T. Westlye, van Haren Ne, Francisco X. Castellanos, P. G. P. Rosa, Kang S, van der Wee Nj, Joaquim Radua, Jim Lagopoulos, José M. Menchón, Helena Fatouros-Bergman, Jan K. Buitelaar, Bernd Weber, Annette Conzelmann, Núria Bargalló, S. E. Medland, Maria J. Portella, Patricia J. Conrod, Amanda Worker, Klaus-Peter Lesch, Jonna Kuntsi, S.G. Potkin, R. Salvador, Knut Schnell, Stefan Borgwardt, Katharina Wittfeld, Kathryn I. Alpert, Dick J. Veltman, de Geus Ej, Ole A. Andreassen, Sophia Frangou, Di Giorgio A, Avram J. Holmes, Rachel M. Brouwer, Thomas Frodl, Lachlan T. Strike, Anton Albajes-Eizagirre, Giulio Pergola, van den Heuvel Oa, Perminder S. Sachdev, Esther Walton, Josiane Bourque, Dag Alnæs, David C. Glahn, Ramona Baur-Streubel, Laura Koenders, Christian K. Tamnes, Alan Breier, Jordan W. Smoller, Yulyia Yoncheva, Marise W. J. Machielsen, Sarah Hohmann, Magnus Andersson, Paola Fuentes-Claramonte, David Mataix-Cols, Salvador Sarró, Stefan Ehrlich, John A. Joska, Marieke Klein, Mauricio H. Serpa, den Braber A, Henry Völzke, Jilly Naaijen, de Haan L, Thomas H. Wassink, Daniel H. Wolf, Thomas Espeseth, Yang Wang, Henrik Walter, Wei Wen, Calhoun, Dan J. Stein, Simon E. Fisher, Eveline A. Crone, Ingrid Agartz, Susanne Erk, Oliver Grimm, Andrew M. McIntosh, Dominik Grotegerd, Henry Brodaty, Katie L. McMahon, Jaap Oosterlaan, Danai Dima, Aurora Bonvino, Anders M. Dale, Alexander Tomyshev, Ignacio Martínez-Zalacaín, Anthony A. James, Andrew J. Kalnin, Barbara Franke, Theophilus N. Akudjedu, Andreas Reif, Pieter J. Hoekstra, Nordvik Je, Lars Nyberg, Bernard Mazoyer, Paul M. Thompson, Andrew J. Saykin, Genevieve McPhilemy, Nhat Trung Doan, Geraldo F. Busatto, Colm McDonald, van ’t Ent D, Sophia I. Thomopoulos, Derrek P. Hibar, Neda Jahanshad, Norbert Hosten, Ryota Kanai, Ruben C. Gur, D.I. Boomsma, Lianne Schmaal, Jean-Paul Fouche, Anne Uhlmann, Jessica A. Turner, Fabrice Crivello, P. Asherson, de la Foz Vo, Heather C. Whalley, C.A. Hartman, Ching Cr, Dirk J. Heslenfeld, Jiyang Jiang, Pascual Sánchez-Juan, Andreas Heinz, Simon Cervenka, Irina V. Lebedeva, Nancy C. Andreasen, Erik G. Jönsson, Oliver Gruber, Ben J. Harrison, Tiffany M. Chaim-Avancini, Sophie Maingault, Efstathios Papachristou, Beng-Choon Ho, Marcus V. Zanetti, Doucet Ge, Nynke A. Groenewold, Sacchet, Andreas Meyer-Lindenberg, Bernhard K. Krämer, M. Aghajani, Diana Tordesillas-Gutiérrez, Martine Hoogman, Lu Wang, Pablo Najt, van den Meer D, Christopher G. Davey, Theodore D. Satterthwaite, René S. Kahn, Margaret J. Wright, N. G. Martin, G. Schumann, Tobias Banaschewski, Amirhossein Modabbernia, Benedicto Crespo-Facorro, Ian B. Hickie, Alessandro Bertolino, Sanne Koops, Sean N. Hatton, Georg C. Ziegler, Carles Soriano-Mas, Kun Yang, Brenna C. McDonald, Sarah Baumeister, Scr Williams, Julian N. Trollor, Paul Pauli, Joshua L. Roffman, Xavier Caseras, Won Hee Lee, Henk Temmingh, Rachel E. Gur, Randy L. Buckner, Vincent P. Clark, Daniel Brandeis, Ian H. Gotlib, Hulshoff Pol He, Hans-Jörgen Grabe, Fleur M. Howells, Christine Lochner, Yannis Paloyelis, Erlend S. Dørum, Suzanne C. Swagerman, Patricia Gruner, Dara M. Cannon, Tomohiro Nakao, Tatyana P Klushnik, Ilya M. Veer, de Zubicaray Gi, Chaim Huyser, John D. West, Luisa Lázaro, and Erin W. Dickie

Subjects
0303 health sciences, Putamen, Thalamus, Brain morphometry, Hippocampus, Nucleus accumbens, Biology, 03 medical and health sciences, Lateral ventricles, 0302 clinical medicine, nervous system, Brain size, Basal ganglia, Neuroscience, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalised on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine the age-related morphometric trajectories of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3-90 years. All subcortical structure volumes were at their maximum early in life; the volume of the basal ganglia showed a gradual monotonic decline thereafter while the volumes of the thalamus, amygdala and the hippocampus remained largely stable (with some degree of decline in thalamus) until the sixth decade of life followed by a steep decline thereafter. The lateral ventricles showed a trajectory of continuous enlargement throughout the lifespan. Significant age-related increase in inter-individual variability was found for the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to derive risk predictions for the early identification of diverse clinical phenotypes.

Published
2020

11. Acknowledgements

Author

Koen van der Gaast, Laura Koenders, and Ger Post

Published
2019

12. Chapters on Interdisciplinary Research and Research Skills

Author

Koen van der Gaast, Machiel Keestra, Laura Koenders, Steph Menken, Ger Post, Koen van der Gaast, Machiel Keestra, Laura Koenders, Steph Menken, and Ger Post

Subjects
Academic writing, Technical writing, Research--Methodology
Abstract

This book is a special edition, compiled for to the MSc Course Research Methodologies as taught at the Faculty of Aerospace Engineering at Delft University of Technology. It is a compilation of useful chapters from several sources on how to structure, set up, carry out and write up your (thesis) research to aid you in writing your research plan. Next to that it acts as a companion during your thesis research. After introducing you to the philosophy of scientific research, subsequent chapters each contribute to the different phases of your research. The book uniquely allows for the often multi- or interdisciplinary research many of you carry out, based on the established Dutch university tradition of (semi-)independent student research, creating a thread through the process for you to follow. This edition is a collection of chapters from An Introduction to Interdisciplinary Research (2016), edited by Steph Menken and Machiel Keestra, and Academic Skills for Interdisciplinary Studies. Revised edition (2019), by Koen van der Gaast, Laura Koenders and Ger Post, published by Amsterdam University Press.

Published
2020

13. Brain volume in male patients with recent onset schizophrenia with and without cannabis use disorders

Author

Matthan W.A. Caan, D. van t Ent, B.P. de Kwaasteniet, Maria M. Rive, Maarten W. J. Koeter, Janna Cousijn, Marise W. J. Machielsen, Dick J. Veltman, Carin J. Meijer, L. de Haan, A. den Braber, E. van der Giessen, A.C.M. van Gasselt, W. van den Brink, Chaim Huyser, Aart H. Schene, F. J. van der Meer, Laura Koenders, Erasmus School of Social and Behavioural Sciences, Neurology, Anatomy and neurosciences, Psychiatry, NCA - Neurobiology of mental health, Other departments, Amsterdam Neuroscience, Adult Psychiatry, Graduate School, Amsterdam Public Health, Radiology and Nuclear Medicine, Child Psychiatry, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Ontwikkelingspsychologie (Psychologie, FMG), and Faculteit der Geneeskunde

Subjects
Male, Marijuana Abuse, medicine.medical_specialty, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], Audiology, Grey matter, Young Adult, SDG 3 - Good Health and Well-being, mental disorders, medicine, Humans, Pharmacology (medical), Gray Matter, Psychiatry, Biological Psychiatry, Anterior cingulate cortex, Fusiform gyrus, Putamen, Smoking, Brain morphometry, Brain, Organ Size, medicine.disease, Magnetic Resonance Imaging, Psychiatry and Mental health, medicine.anatomical_structure, nervous system, Schizophrenia, Brain size, Orbitofrontal cortex, Psychology, Antipsychotic Agents, Research Paper
Abstract

Contains fulltext : 154675.pdf (Publisher’s version ) (Open Access) BACKGROUND: Schizophrenia is highly comorbid with cannabis use disorders (CUDs), and this comorbidity is associated with an unfavourable course. Early onset or frequent cannabis use may influence brain structure. A key question is whether comorbid CUDs modulate brain morphology alterations associated with schizophrenia. METHODS: We used surface-based analysis to measure the brain volume, cortical thickness and cortical surface area of a priori-defined brain regions (hippocampus, amygdala, thalamus, caudate, putamen, orbitofrontal cortex, anterior cingulate cortex, insula, parahippocampus and fusiform gyrus) in male patients with schizophrenia or related disorders with and without comorbid CUDs and matched healthy controls. Associations between age at onset and frequency of cannabis use with regional grey matter volume were explored. RESULTS: We included 113 patients with (CUD, n = 80) and without (NCUD, n = 33) CUDs and 84 controls in our study. As expected, patients with schizophrenia (with or without a CUD) had smaller volumes of most brain regions (amygdala, putamen, insula, parahippocampus and fusiform gyrus) than healthy controls, and differences in cortical volume were mainly driven by cortical thinning. Compared with the NCUD group, the CUD group had a larger volume of the putamen, possibly driven by polysubstance use. No associations between age at onset and frequency of use with regional grey matter volumes were found. LIMITATIONS: We were unable to correct for possible confounding effects of smoking or antipsychotic medication. CONCLUSION: Patients with psychotic disorders and comorbid CUDs have larger putamen volumes than those without CUDs. Future studies should elaborate whether a large putamen represents a risk factor for the development of CUDs or whether (poly)substance use causes changes in putamen volume.

Published
2015

14. Longitudinal study of hippocampal volumes in heavy cannabis users

Author

D.J. Veltman, Laura Koenders, Murat Yücel, Janna Cousijn, L. de Haan, Reinout W. Wiers, Chao Suo, Valentina Lorenzetti, W.A.M. Vingerhoets, W. van den Brink, Carin J. Meijer, Marise W. J. Machielsen, Anna E. Goudriaan, Institute of Interdisciplinary Studies, Ontwikkelingspsychologie (Psychologie, FMG), Other departments, APH - Mental Health, Adult Psychiatry, Amsterdam Neuroscience, APH - Digital Health, Psychiatry, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Erasmus School of Economics, Erasmus School of Law, Epidemiology, Orthopedics and Sports Medicine, RS: MHeNs - R2 - Mental Health, and Psychiatrie & Neuropsychologie

Subjects
Male, Longitudinal study, Cannabinoid receptor, hippocampus, Physiology, manual tracing, Hippocampal formation, ALCOHOL-USE, 0302 clinical medicine, DEPENDENCE, Hippocampus (mythology), Pharmacology (medical), Longitudinal Studies, medicine.diagnostic_test, biology, ABNORMALITIES, HUMAN BRAIN, Original Papers, Magnetic Resonance Imaging, medial temporal lobe, Psychiatry and Mental health, ADOLESCENCE, Hippocampal volume, Female, Psychology, medicine.medical_specialty, longitudinal, Adolescent, Marijuana Smoking, Neuroimaging, Young Adult, 03 medical and health sciences, DSM-IV, SDG 3 - Good Health and Well-being, medicine, Humans, Psychiatry, structural MRI, Cannabis, Pharmacology, GRAY-MATTER, Magnetic resonance imaging, CHRONIC-SCHIZOPHRENIA, biology.organism_classification, 030227 psychiatry, HIGH-RISK, Case-Control Studies, Age of onset, marijuana, 030217 neurology & neurosurgery
Abstract

Background: Cannabis exposure, particularly heavy cannabis use, has been associated with neuroanatomical alterations in regions rich with cannabinoid receptors such as the hippocampus in some but not in other (mainly cross-sectional) studies. However, it remains unclear whether continued heavy cannabis use alters hippocampal volume, and whether an earlier age of onset and/or a higher dosage exacerbate these changes. Methods: Twenty heavy cannabis users (mean age 21 years, range 18–24 years) and 23 matched non-cannabis using healthy controls were submitted to a comprehensive psychological assessment and magnetic resonance imaging scan at baseline and at follow-up (average of 39 months post-baseline; standard deviation=2.4). Cannabis users started smoking around 16 years and smoked on average five days per week. A novel aspect of the current study is that hippocampal volume estimates were obtained from manual tracing the hippocampus on T1-weighted anatomical magnetic resonance imaging scans, using a previously validated protocol. Results: Compared to controls, cannabis users did not show hippocampal volume alterations at either baseline or follow-up. Hippocampal volumes increased over time in both cannabis users and controls, following similar trajectories of increase. Cannabis dose and age of onset of cannabis use did not affect hippocampal volumes. Conclusions: Continued heavy cannabis use did not affect hippocampal neuroanatomical changes in early adulthood. This contrasts with prior evidence on alterations in this region in samples of older adult cannabis users. In young adults using cannabis at this level, cannabis use may not be heavy enough to affect hippocampal neuroanatomy.

Published
2017

15. Cannabis dependence, cognitive control and attentional bias for cannabis words

Author

Poppy Watson, Reinout W. Wiers, Anneke E. Goudriaan, W.A.M. Vingerhoets, Laura Koenders, Janna Cousijn, Ontwikkelingspsychologie (Psychologie, FMG), Faculteit der Geneeskunde, Adult Psychiatry, Other departments, Amsterdam Neuroscience, and Orthopedics and Sports Medicine

Subjects
Adult, Male, Marijuana Abuse, Adolescent, media_common.quotation_subject, Word Association Tests, Medicine (miscellaneous), Poison control, Craving, Attentional bias, Toxicology, behavioral disciplines and activities, Developmental psychology, Young Adult, Cognition, SDG 3 - Good Health and Well-being, Surveys and Questionnaires, mental disorders, medicine, Humans, Attention, Cannabis Dependence, media_common, Observer Variation, biology, Addiction, biology.organism_classification, Behavior, Addictive, Psychiatry and Mental health, Clinical Psychology, Case-Control Studies, Stroop Test, Female, Cannabis, Cues, medicine.symptom, Psychology, psychological phenomena and processes, Stroop effect
Abstract

One of the characteristics of people suffering from addictive behaviors is the tendency to be distracted by drug cues. This attentional bias for drug cues is thought to lead to increased craving and drug use, and may draw individuals into a vicious cycle of drug addiction. In the current study we developed a Dutch version of the cannabis Stroop task and measured attentional bias for cannabis words in a group of heavy cannabis users and matched controls. The classical Stroop task was used as a global measure of cognitive control and we examined the relationship between cognitive control, cannabis-related problems, cannabis craving and cannabis attentional bias. Using our version of the cannabis Stroop task, a group of heavy cannabis users showed attentional bias to cannabis words, whereas a control group of non-users did not. Furthermore, within the group of cannabis users, those who were clinically recognized as dependent showed a stronger attentional bias than the heavy, non-dependent users. Cannabis users who displayed reduced cognitive control (as measured with the classical Stroop task) showed increased session-induced craving. Contrary to expectations, however, cognitive control did not appear to modulate the relationship between attentional bias to cannabis words (cannabis Stroop task) and cannabis dependence. This study confirmed the relationship between cannabis dependence and attentional bias and extends this by highlighting a moderating role for cognitive control, which may make some more vulnerable to craving.

Published
2013

16. Relationship between working-memory network function and substance use: a 3-year longitudinal fMRI study in heavy cannabis users and controls

Author

Lieuwe de Haan, Reinout W. Wiers, W.A.M. Vingerhoets, Laura Koenders, Wim van den Brink, Janna Cousijn, and Anna E. Goudriaan

Subjects
Pharmacology, Drug, medicine.medical_specialty, biology, Working memory, media_common.quotation_subject, Addiction, Medicine (miscellaneous), Executive functions, biology.organism_classification, medicine.disease, Nicotine, Psychiatry and Mental health, medicine, Cannabis, Substance use, Psychiatry, Psychology, Nicotine dependence, medicine.drug, media_common
Abstract

Deficient executive functions play an important role in the development of addiction. Working-memory may therefore be a powerful predictor of the course of drug use, but chronic substance use may also impair working-memory. The aim of this 3-year longitudinal neuro-imaging study was to investigate the relationship between substance use (e.g. alcohol, cannabis, nicotine, illegal psychotropic drugs) and working-memory network function over time in heavy cannabis users and controls. Forty-nine participants performed an n-back working-memory task at baseline and at 3-year follow-up. At follow-up, there were 22 current heavy cannabis users, 4 abstinent heavy cannabis users and 23 non-cannabis-using controls. Tensor-independent component analysis (Tensor-ICA) was used to investigate individual differences in working-memory network functionality over time. Within the group of cannabis users, cannabis-related problems remained stable, whereas alcohol-related problems, nicotine dependence and illegal psychotropic substance use increased over time. At both measurements, behavioral performance and network functionality during the n-back task did not differ between heavy cannabis users and controls. Although n-back accuracy improved, working-memory network function remained stable over time. Within the group of cannabis users, working-memory network functionality was not associated with substance use. These results suggest that sustained moderate to heavy levels of cannabis, nicotine, alcohol and illegal psychotropic substance use do not change working-memory network functionality. Moreover, baseline network functionality did not predict cannabis use and related problems three years later, warranting longitudinal studies in more chronic or dependent cannabis users.

Published
2013

17. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

Author

Daniel H. Wolf, Ingrid Agartz, Catherine Bois, Hilleke E. Hulshoff Pol, Roel A. Ophoff, T.G.M. van Erp, Lars T. Westlye, Stephen M. Lawrie, Gary Donohoe, Sinead Kelly, Ingrid Melle, HJ Bockholt, Jessica A. Turner, David C. Glahn, R.E. Gur, Benedicto Crespo-Facorro, Godfrey D. Pearlson, Vince D. Calhoun, Andrew M. McIntosh, Theodore D. Satterthwaite, Johanna Hass, Steven G. Potkin, Esther Walton, Cecilie B. Hartberg, René S. Kahn, Bernd Kraemer, Jerod M. Rasmussen, Ole A. Andreassen, Derrek P. Hibar, N.E.M. van Haren, Adrian Preda, Erik G. Jönsson, Unn K. Haukvik, L. de Haan, Scott R. Sponheim, Oliver Gruber, Laura Koenders, Stefan Ehrlich, Anders M. Dale, Lei Wang, Dara M. Cannon, Kathryn I. Alpert, Bryon A. Mueller, Dick J. Veltman, Aiden Corvin, Paul M. Thompson, Colm McDonald, Daniel H. Mathalon, Marise W. J. Machielsen, Rali Dimitrova, Fabio Macciardi, Roberto Roiz-Santiañez, David Zilles, R.C. Gur, Jody M. Shoemaker, Ryota Hashimoto, Heather C. Whalley, Derek W. Morris, Universidad de Cantabria, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Other departments, Adult Psychiatry, Psychiatry, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and Anatomy and neurosciences

Subjects
Male, Published Erratum, Image Processing, Brain mapping, Medical and Health Sciences, Functional Laterality, gray-matter, 0302 clinical medicine, Computer-Assisted, Image Processing, Computer-Assisted, 2.1 Biological and endogenous factors, Longitudinal Studies, Prospective Studies, Aetiology, risk, Subcortical, brain volume, schizophrenia, bipolar disorder, Psychiatry, Brain Mapping, Putamen, Brain, Middle Aged, Biological Sciences, Serious Mental Illness, Magnetic Resonance Imaging, 3. Good health, Psychiatry and Mental health, Mental Health, Schizophrenia, Brain size, Biomedical Imaging, antipsychotic treatment, Female, Original Article, Psychology, metaanalysis, Adult, medicine.medical_specialty, Schizophrenia (object-oriented programming), 1st-episode schizophrenia, hippocampal volume, reduction, Neuroimaging, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Rare Diseases, Clinical Research, medicine, Journal Article, voxel-based morphometry, Dementia, Humans, Bipolar disorder, Molecular Biology, Psychology and Cognitive Sciences, Neurosciences, dehydration, Voxel-based morphometry, medicine.disease, 030227 psychiatry, Brain Disorders, Good Health and Well Being, Case-Control Studies, Neuroscience, 030217 neurology & neurosurgery
Abstract

© 2016 Macmillan Publishers Limited. The profile of brain structural abnormalities in schizophrenia is still not fully understood, despite decades of research using brain scans. To validate a prospective meta-analysis approach to analyzing multicenter neuroimaging data, we analyzed brain MRI scans from 2028 schizophrenia patients and 2540 healthy controls, assessed with standardized methods at 15 centers worldwide. We identified subcortical brain volumes that differentiated patients from controls, and ranked them according to their effect sizes. Compared with healthy controls, patients with schizophrenia had smaller hippocampus (Cohen's d=-0.46), amygdala (d=-0.31), thalamus (d=-0.31), accumbens (d=-0.25) and intracranial volumes (d=-0.12), as well as larger pallidum (d=0.21) and lateral ventricle volumes (d=0.37). Putamen and pallidum volume augmentations were positively associated with duration of illness and hippocampal deficits scaled with the proportion of unmedicated patients. Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches. This first ENIGMA Schizophrenia Working Group study validates that collaborative data analyses can readily be used across brain phenotypes and disorders and encourages analysis and data sharing efforts to further our understanding of severe mental illness.

Published
2016

18. Cue-induced striatal activity in frequent cannabis users independently predicts cannabis problem severity three years later

Author

W. van den Brink, Laura Koenders, Janna Cousijn, L. de Haan, W.A.M. Vingerhoets, Reinout W. Wiers, Anneke E. Goudriaan, T. van Amelsvoort, Erasmus School of Law, Orthopedics and Sports Medicine, Erasmus School of Economics, Ontwikkelingspsychologie (Psychologie, FMG), Other departments, ANS - Compulsivity, Impulsivity & Attention, Adult Psychiatry, Nuclear Medicine, RS: MHeNs - R2 - Mental Health, Promovendi MHN, Psychiatrie & Neuropsychologie, and MUMC+: MA Med Staf Spec Psychiatrie (9)

Subjects
cannabis, Adult, Male, medicine.medical_specialty, Marijuana Abuse, Brain activity and meditation, striatum, media_common.quotation_subject, cannabis use disorder, Addiction, Marijuana Smoking, Audiology, Severity of Illness Index, 03 medical and health sciences, Young Adult, 0302 clinical medicine, SDG 3 - Good Health and Well-being, medicine, Humans, Pharmacology (medical), Prospective Studies, Psychiatry, Anterior cingulate cortex, media_common, Pharmacology, medicine.diagnostic_test, biology, Putamen, fMRI, cue-reactivity, Brain, biology.organism_classification, Magnetic Resonance Imaging, Corpus Striatum, 030227 psychiatry, Psychiatry and Mental health, medicine.anatomical_structure, Cue reactivity, Orbitofrontal cortex, Female, Cannabis, Cues, Functional magnetic resonance imaging, Psychology, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract

Cannabis is the most frequently used illicit drug worldwide, but little is known about the mechanisms underlying continued cannabis use. Cue-reactivity (the physical, psychological, behavioural and neural reaction to substance-related cues) might be related to continued cannabis use. In this 3-year prospective neuroimaging study we investigated whether cannabis cue-induced brain activity predicted continued cannabis use and associated problem severity 3 years later. In addition, baseline brain activations were compared between dependent and non-dependent cannabis users at follow-up. Analyses were focussed on brain areas known to be important in cannabis cue-reactivity: anterior cingulate cortex, orbitofrontal cortex, ventral tegmental area, amygdala and striatum. At baseline, 31 treatment-naive frequent cannabis users performed a cue-reactivity functional magnetic resonance imaging task. Of these participants, 23 completed the 3-year follow-up. None of the cue-induced region of interest activations predicted the amount of cannabis use at follow-up. However, cue-induced activation in the left striatum (putamen) significantly and independently predicted problem severity at follow-up ( p < 0.001) as assessed with the Cannabis Use Disorder Identification Test. Also, clinically dependent cannabis users at follow-up showed higher baseline activation at trend level in the left striatum compared with non-dependent users. This indicates that neural cue-reactivity in the dorsal striatum is an independent predictor of cannabis use-related problems. Given the relatively small sample size, these results are preliminary and should be replicated in larger samples of cannabis users.

Published
2016

19. Structural MRI Differences between Patients with and without First Rank Symptoms: A Delusion?

Author

Wiepke Cahn, Jessica de Nijs, Marise W. J. Machielsen, Manabu Kubota, Neeltje E.M. van Haren, Lieuwe de Haan, Carin J. Meijer, Godefridus J. C. Koevoets, Hilleke E. Hulshoff Pol, Laura Koenders, René S. Kahn, Henriette D. Heering, Psychiatry, Other departments, Amsterdam Neuroscience, and Adult Psychiatry

Subjects
medicine.medical_specialty, Pathology, First rank symptoms, corticalvolumes, animal structures, Diagnostic interview, Corticalvolumes, Text mining, Delusion, Neuroimaging, Internal medicine, Magnetic resonance imaging of the brain, Medicine, Structural MRI image analysis, subcortical volume, Original Research, Psychiatry, Subcortical volume, medicine.diagnostic_test, business.industry, Cerebrum, medicine.disease, schizophrenia, Psychiatry and Mental health, medicine.anatomical_structure, first rank symptoms, Schizophrenia, Brain size, Cardiology, medicine.symptom, business, structural MRI image analysis
Abstract

OBJECTIVE: It has been suggested that specific psychotic symptom clusters may be explained by patterns of biological abnormalities. The presence of first rank symptoms (FRS) has been associated with cognitive abnormalities, e.g., deficits in self-monitoring or in the experience of agency, suggesting that a specific network of neural abnormalities might underlie FRS. Here, we investigate differences in cortical and subcortical brain volume between patients with and without FRS.METHODS: Three independent patient samples (referred to as A, B, and C) with different mean ages and in different illness stages were included, leading to a total of 348 patients within the schizophrenia-spectrum. All underwent magnetic resonance imaging of the brain. In addition, the presence of FRS was established using a diagnostic interview. Patients with (FRS+, A: n = 63, B: n = 129, and C: n = 96) and without FRS (FRS-, A: n = 35, B: n = 17, and C: n = 8) were compared on global and local cortical volumes as well as subcortical volumes, using a whole brain (cerebrum) approach.RESULTS: Nucleus accumbens volume was significantly smaller in FRS+ as compared with FRS- in sample A (p CONCLUSION: Brain volume differences between patients with and without FRS are, when present, subtle, and not consistent between three independent samples. Brain abnormalities related to FRS may be too subtle to become visible through structural brain imaging.

Published
2015

20. Relationship between working-memory network function and substance use: a 3-year longitudinal fMRI study in heavy cannabis users and controls

Author

Janna, Cousijn, Wilhelmina A M, Vingerhoets, Laura, Koenders, Lieuwe, de Haan, Wim, van den Brink, Reinout W, Wiers, and Anna E, Goudriaan

Subjects
Adult, Male, Marijuana Abuse, Adolescent, Substance-Related Disorders, Neuropsychological Tests, Severity of Illness Index, Young Adult, Risk Factors, Image Interpretation, Computer-Assisted, Humans, Dronabinol, Longitudinal Studies, Age of Onset, Analysis of Variance, Brain Mapping, Memory Disorders, Psychotropic Drugs, Brain, Magnetic Resonance Imaging, Behavior, Addictive, Memory, Short-Term, Case-Control Studies, Disease Progression, Linear Models, Female, Nerve Net
Abstract

Deficient executive functions play an important role in the development of addiction. Working-memory may therefore be a powerful predictor of the course of drug use, but chronic substance use may also impair working-memory. The aim of this 3-year longitudinal neuro-imaging study was to investigate the relationship between substance use (e.g. alcohol, cannabis, nicotine, illegal psychotropic drugs) and working-memory network function over time in heavy cannabis users and controls. Forty-nine participants performed an n-back working-memory task at baseline and at 3-year follow-up. At follow-up, there were 22 current heavy cannabis users, 4 abstinent heavy cannabis users and 23 non-cannabis-using controls. Tensor-independent component analysis (Tensor-ICA) was used to investigate individual differences in working-memory network functionality over time. Within the group of cannabis users, cannabis-related problems remained stable, whereas alcohol-related problems, nicotine dependence and illegal psychotropic substance use increased over time. At both measurements, behavioral performance and network functionality during the n-back task did not differ between heavy cannabis users and controls. Although n-back accuracy improved, working-memory network function remained stable over time. Within the group of cannabis users, working-memory network functionality was not associated with substance use. These results suggest that sustained moderate to heavy levels of cannabis, nicotine, alcohol and illegal psychotropic substance use do not change working-memory network functionality. Moreover, baseline network functionality did not predict cannabis use and related problems three years later, warranting longitudinal studies in more chronic or dependent cannabis users.

Published
2014

21. P.6.c.006 Cue-reactivity in prolonged, frequent cannabis use: a three year follow-up study

Author

Laura Koenders, Janna Cousijn, T. van Amelsvoort, and W.A.M. Vingerhoets

Subjects
Pharmacology, medicine.medical_specialty, business.industry, Follow up studies, Cannabis use, Psychiatry and Mental health, Neurology, Cue reactivity, Internal medicine, Medicine, Pharmacology (medical), Neurology (clinical), business, Biological Psychiatry
Published
2013

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