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1. 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

2. Increased functional connectivity between presupplementary motor area and inferior frontal gyrus associated with the ability of motor response inhibition in obsessive–compulsive disorder

Author

Taro Mizobe, Hirofumi Tomiyama, Kiyotaka Nemoto, Suguru Hasuzawa, Akio Hiwatashi, Mayumi Tomita, Aikana Ohno, Sae Tsuruta, Osamu Togao, Kenta Kato, Keitaro Murayama, and Tomohiro Nakao

Subjects
Male, Obsessive-Compulsive Disorder, computer.software_genre, inferior frontal gyrus, Thalamus, Voxel, cortico‐striato‐thalamo‐cortical circuit, Prefrontal cortex, Research Articles, Response inhibition, Cerebral Cortex, Radiological and Ultrasound Technology, medicine.diagnostic_test, cingulo‐opercular salience network, Motor Cortex, Middle Aged, Magnetic Resonance Imaging, Inhibition, Psychological, medicine.anatomical_structure, Neurology, Female, Anatomy, Research Article, Adult, Inferior frontal gyrus, stop‐signal task, Motor Activity, fronto‐striatal circuit, behavioral disciplines and activities, Young Adult, obsessive–compulsive disorder, mental disorders, Connectome, medicine, Humans, response inhibition, Radiology, Nuclear Medicine and imaging, presupplementary motor cortex, Anterior cingulate cortex, business.industry, Inferior parietal lobule, Corpus Striatum, ventral attention cortico‐striato‐thalamo‐cortical circuit, resting‐state functional MRI, Neurology (clinical), Nerve Net, Functional magnetic resonance imaging, business, Neuroscience, Insula, computer
Abstract

Recent evidence suggests that presupplementary motor area (pre‐SMA) and inferior frontal gyrus (IFG) play an important role in response inhibition. However, no study has investigated the relationship between these brain networks at resting‐state and response inhibition in obsessive–compulsive disorder (OCD). We performed resting‐state functional magnetic resonance imaging scans and then measured the response inhibition of 41 medication‐free OCD patients and 49 healthy control (HC) participants by using the stop‐signal task outside the scanner. We explored the differences between OCD and HC groups in the functional connectivity of pre‐SMA and IFG associated with the ability of motor response inhibition. OCD patients showed a longer stop‐signal reaction time (SSRT). Compared to HC, OCD patients exhibit different associations between the ability of motor response inhibition and the functional connectivity between pre‐SMA and IFG, inferior parietal lobule, dorsal anterior cingulate cortex, insula, and anterior prefrontal cortex. Additional analysis to investigate the functional connectivity difference from the seed ROIs to the whole brain voxels revealed that, compared to HC, OCD exhibited greater functional connectivity between pre‐SMA and IFG. Also, this functional connectivity was positively correlated with the SSRT score. These results provide additional insight into the characteristics of the resting‐state functional connectivity of the regions belonging to the cortico‐striato‐thalamo‐cortical circuit and the cingulo‐opercular salience network, underlying the impaired motor response inhibition of OCD. In particular, we emphasize the importance of altered functional connectivity between pre‐SMA and IFG for the pathophysiology of motor response inhibition in OCD., Obsessive–compulsive disorder patients had significantly different associations between the abilities of motor response inhibition and the resting‐state functional connectivity from pre‐SMA to IPL, IFG, dACC and anterior‐insula. Additionally, compared to healthy control, OCD exhibited greater functional connectivity between pre‐SMA and IFG, and this functional connectivity was correlated with the the abilities of motor response inhibition.

Published
2021

3. An overview of the first 5 years of the ENIGMA obsessive-compulsive disorder working group: The power of worldwide collaboration

Author

Edna Grünblatt, Noam Soreni, Takashi Nakamae, Susanne Walitza, Anthony A. James, Paul D. Arnold, Iliyan Ivanov, Patricia Gruner, Janardhanan C. Narayanaswamy, Dick J. Veltman, Gianfranco Spalletta, Sara Bertolín, H. Blair Simpson, Tomohiro Nakao, Je-Yeon Yun, David Mataix-Cols, Gerd Kvale, Carles Soriano-Mas, Guido van Wingen, Ganesan Venkatasubramanian, Luisa Lázaro, Francesco Benedetti, Chris Vriend, Xiangzhen Kong, Jan C. Beucke, Kate D. Fitzgerald, Martine Hoogman, Y. C.Janardhan Reddy, Kathrin Koch, Daan van Rooij, Jun Soo Kwon, David F. Tolin, Rachel Marsh, Jan K. Buitelaar, Neda Jahanshad, Christopher Pittenger, Stephan F. Taylor, Tomáš Paus, Willem B Bruin, Clyde Francks, Anushree Bose, Chaim Huyser, Christine Lochner, Erika L. Nurmi, Dan J. Stein, Joseph O'Neill, S. Evelyn Stewart, Yash Patel, João Ricardo Sato, Zhen Wang, Irene Bollettini, Lianne Schmaal, Alessandro S. De Nadai, Fabrizio Piras, Yoshiyuki Hirano, Brian P. Brennan, Odile A. van den Heuvel, Pedro Morgado, Sophia I. Thomopoulos, Marcelo Q. Hoexter, Premika S.W. Boedhoe, Paul M. Thompson, van den Heuvel, O. A., Boedhoe, P. S. W., Bertolin, S., Bruin, W. B., Francks, C., Ivanov, I., Jahanshad, N., Kong, X. -Z., Kwon, J. S., O'Neill, J., Paus, T., Patel, Y., Piras, F., Schmaal, L., Soriano-Mas, C., Spalletta, G., van Wingen, G. A., Yun, J. -Y., Vriend, C., Simpson, H. B., van Rooij, D., Hoexter, M. Q., Hoogman, M., Buitelaar, J. K., Arnold, P., Beucke, J. C., Benedetti, F., Bollettini, I., Bose, A., Brennan, B. P., De Nadai, A. S., Fitzgerald, K., Gruner, P., Grunblatt, E., Hirano, Y., Huyser, C., James, A., Koch, K., Kvale, G., Lazaro, L., Lochner, C., Marsh, R., Mataix-Cols, D., Morgado, P., Nakamae, T., Nakao, T., Narayanaswamy, J. C., Nurmi, E., Pittenger, C., Reddy, Y. C. J., Sato, J. R., Soreni, N., Stewart, S. E., Taylor, S. F., Tolin, D., Thomopoulos, S. I., Veltman, D. J., Venkatasubramanian, G., Walitza, S., Wang, Z., Thompson, P. M., and Stein, D. J.

Subjects
mega-analysis, Obsessive-Compulsive Disorder, Review Article, Machine Learning, 0302 clinical medicine, Neurobiology, Obsessive-compulsive disorder, Multicenter Studies as Topic, Disease process, Cervell, Review Articles, Pediatric, Psychiatry, Cerebral Cortex, Collaborative community, Radiological and Ultrasound Technology, 05 social sciences, ENIGMA, Brain, Experimental Psychology, Serious Mental Illness, humanities, 3. Good health, Mental Health, Neurology, Meta-analysis, Neurological, Cognitive Sciences, Mega analysis, Anatomy, Psychology, Neurobiologia, Clinical psychology, MRI, ENIGMA-OCD working group, Neuroimaging, behavioral disciplines and activities, 050105 experimental psychology, Lateralization of brain function, Power (social and political), 03 medical and health sciences, obsessive–compulsive disorder, Obsessive compulsive, Clinical Research, mental disorders, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, Psiquiatria, mega‐analysis, volume, Neurosi obsessiva, Neurosciences, surface area, cortical thickness, Brain Disorders, meta-analysis, meta‐analysis, Neurology (clinical), 030217 neurology & neurosurgery
Abstract

Neuroimaging has played an important part in advancing our understanding of the neurobiology of obsessive?compulsive disorder (OCD). At the same time, neuroimaging studies of OCD have had notable limitations, including reliance on relatively small samples. International collaborative efforts to increase statistical power by combining samples from across sites have been bolstered by the ENIGMA consortium; this provides specific technical expertise for conducting multi-site analyses, as well as access to a collaborative community of neuroimaging scientists. In this article, we outline the background to, development of, and initial findings from ENIGMA's OCD working group, which currently consists of 47 samples from 34 institutes in 15 countries on 5 continents, with a total sample of 2,323 OCD patients and 2,325 healthy controls. Initial work has focused on studies of cortical thickness and subcortical volumes, structural connectivity, and brain lateralization in children, adolescents and adults with OCD, also including the study on the commonalities and distinctions across different neurodevelopment disorders. Additional work is ongoing, employing machine learning techniques. Findings to date have contributed to the development of neurobiological models of OCD, have provided an important model of global scientific collaboration, and have had a number of clinical implications. Importantly, our work has shed new light on questions about whether structural and functional alterations found in OCD reflect neurodevelopmental changes, effects of the disease process, or medication impacts. We conclude with a summary of ongoing work by ENIGMA-OCD, and a consideration of future directions for neuroimaging research on OCD within and beyond ENIGMA.

Published
2020

4. Age-related microstructural changes in subcortical white matter during postadolescent periods in men revealed by diffusion-weighted MR imaging

Author

Hiroshi Honda, Seiji Kumazawa, Eiki Nagao, Tomoyuki Noguchi, Akio Hiwatashi, Takashi Yoshiura, Koji Yamashita, Hidetaka Arimura, Osamu Togao, and Tomohiro Nakao

Subjects
Male, medicine.medical_specialty, Aging, Neurology, Adolescent, Central nervous system, Nerve Fibers, Myelinated, White matter, Young Adult, Age related, medicine, Humans, Radiology, Nuclear Medicine and imaging, Diffusion-Weighted MR Imaging, Research Articles, Cerebral Cortex, Brain Mapping, Radiological and Ultrasound Technology, medicine.diagnostic_test, Cerebral white matter, Magnetic resonance imaging, Anatomy, medicine.anatomical_structure, Diffusion Magnetic Resonance Imaging, Neurology (clinical), Psychology, Neuroscience, Diffusion MRI
Abstract

Continuous maturation of cerebral white matter (WM) in the postadolescent period is not fully understood. To elucidate the time course and location of possible postadolescent maturational changes in cerebral WM, we studied 60 healthy male subjects who were in their second to seventh decade using diffusion‐weighted imaging. Mean diffusivity (MD) in subcortical WM was measured in 78 cortical regions in each subject's brain using an automated method. Regression analysis was used to model the age‐related change in MD by either a linear or a quadratic function in each region. Age‐related changes in subcortical MD were best modeled by either a linear function or a quadratic function in 27 regions including language‐related regions, visual or multimodal areas in the bilateral occipital and temporal lobes, limbic areas including the bilateral parahippocampal gyri, and the bilateral postcentral and left precentral gyri. In these regions, the MD rapidly decreased until middle age and thereafter reached a plateau. Our results revealed microstructural changes in local subcortical WM and suggests a continuing maturational process in postoadolescent periods. Hum Brain Mapp 2009. © 2009 Wiley‐Liss, Inc.

Published
2009

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