51
|
Sønderby IE, van der Meer D, Moreau C, Kaufmann T, Walters GB, Ellegaard M, Abdellaoui A, Ames D, Amunts K, Andersson M, Armstrong NJ, Bernard M, Blackburn NB, Blangero J, Boomsma DI, Brodaty H, Brouwer RM, Bülow R, Bøen R, Cahn W, Calhoun VD, Caspers S, Ching CRK, Cichon S, Ciufolini S, Crespo-Facorro B, Curran JE, Dale AM, Dalvie S, Dazzan P, de Geus EJC, de Zubicaray GI, de Zwarte SMC, Desrivieres S, Doherty JL, Donohoe G, Draganski B, Ehrlich S, Eising E, Espeseth T, Fejgin K, Fisher SE, Fladby T, Frei O, Frouin V, Fukunaga M, Gareau T, Ge T, Glahn DC, Grabe HJ, Groenewold NA, Gústafsson Ó, Haavik J, Haberg AK, Hall J, Hashimoto R, Hehir-Kwa JY, Hibar DP, Hillegers MHJ, Hoffmann P, Holleran L, Holmes AJ, Homuth G, Hottenga JJ, Hulshoff Pol HE, Ikeda M, Jahanshad N, Jockwitz C, Johansson S, Jönsson EG, Jørgensen NR, Kikuchi M, Knowles EEM, Kumar K, Le Hellard S, Leu C, Linden DEJ, Liu J, Lundervold A, Lundervold AJ, Maillard AM, Martin NG, Martin-Brevet S, Mather KA, Mathias SR, McMahon KL, McRae AF, Medland SE, Meyer-Lindenberg A, Moberget T, Modenato C, Sánchez JM, Morris DW, Mühleisen TW, Murray RM, Nielsen J, Nordvik JE, Nyberg L, Loohuis LMO, Ophoff RA, Owen MJ, Paus T, Pausova Z, Peralta JM, Pike GB, Prieto C, Quinlan EB, Reinbold CS, Marques TR, Rucker JJH, Sachdev PS, Sando SB, Schofield PR, Schork AJ, Schumann G, Shin J, Shumskaya E, Silva AI, Sisodiya SM, Steen VM, Stein DJ, Strike LT, Suzuki IK, Tamnes CK, Teumer A, Thalamuthu A, Tordesillas-Gutiérrez D, Uhlmann A, Ulfarsson MO, van 't Ent D, van den Bree MBM, Vanderhaeghen P, Vassos E, Wen W, Wittfeld K, Wright MJ, Agartz I, Djurovic S, Westlye LT, Stefansson H, Stefansson K, Jacquemont S, Thompson PM, Andreassen OA. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans. Transl Psychiatry 2021; 11:182. [PMID: 33753722 PMCID: PMC7985307 DOI: 10.1038/s41398-021-01213-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/23/2020] [Accepted: 01/08/2021] [Indexed: 01/07/2023] Open
Abstract
Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers-the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function.
Collapse
Affiliation(s)
- Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway.
| | - Dennis van der Meer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Clara Moreau
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, Quebec, Canada
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - G Bragi Walters
- deCODE Genetics (Amgen), Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Maria Ellegaard
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Abdel Abdellaoui
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
| | - David Ames
- University of Melbourne Academic Unit for Psychiatry of Old Age, Kew, Australia
- National Ageing Research Institute, Parkville, Australia
| | - Katrin Amunts
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University Duesseldorf, Düsseldorf, Germany
| | - Micael Andersson
- Umeå Centre for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | | | - Manon Bernard
- Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Nicholas B Blackburn
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, USA
| | - Dorret I Boomsma
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Rune Bøen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Brain Center, Utrecht University, Utrecht, the Netherlands
- Altrecht Science, Utrecht, the Netherlands
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, USA
- The Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, USA
| | - Svenja Caspers
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, USA
| | - Sven Cichon
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Simone Ciufolini
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Benedicto Crespo-Facorro
- University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Santander, Spain
- University Hospital Virgen del Rocío, IBiS, Centre de Investigació Biomédica en Red Salud Mental (CIBERSAM), Sevilla, Spain
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, USA
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, USA
| | - Shareefa Dalvie
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eco J C de Geus
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | | | - Sonja M C de Zwarte
- Department of Psychiatry, University Medical Center Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Sylvane Desrivieres
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Joanne L Doherty
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Cardiff University Brain Research Imaging Centre School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Gary Donohoe
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Else Eising
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway
- Bjørknes College, Oslo, Norway
| | - Kim Fejgin
- Signal Transduction, H. Lundbeck A/S, Ottiliavej 9, DK-2500, Valby, Denmark
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, 1474, Nordbyhagen, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vincent Frouin
- Université Paris-Saclay, CEA, Neurospin, 91191, Gif-sur-Yvette, France
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, Japan
- Department of Life Science, Sokendai, Hayama, Japan
| | - Thomas Gareau
- Université Paris-Saclay, CEA, Neurospin, 91191, Gif-sur-Yvette, France
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - David C Glahn
- Boston Children's Hospital, Boston, Massachusetts, USA
- Institute of Living, Hartford, Connecticut, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
| | - Nynke A Groenewold
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, Western Cape, South Africa
| | | | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Asta K Haberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- St Olav's Hospital, Department of Radiology and Nuclear Medicine, Trondheim, Norway
| | - Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
- Osaka University, Osaka, Japan
| | - Jayne Y Hehir-Kwa
- Princess Màxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | | | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia, Rotterdam, the Netherlands
| | - Per Hoffmann
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn Medical School, Bonn, Germany
| | - Laurena Holleran
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Avram J Holmes
- Psychology Department, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Jouke-Jan Hottenga
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Hilleke E Hulshoff Pol
- Department of Psychiatry, University Medical Center Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, USA
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stefan Johansson
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Erik G Jönsson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Niklas R Jørgensen
- Department of Clinical Biochemistry, Copenhagen University Hospital Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Emma E M Knowles
- Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Kuldeep Kumar
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada
| | - Stephanie Le Hellard
- Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Costin Leu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States
- Chalfont Centre for Epilepsy, Chalfont-St-Peter, United Kingdom
| | - David E J Linden
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Jingyu Liu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, USA
| | - Arvid Lundervold
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | | | - Anne M Maillard
- Service des Troubles du Spectre de l'Autisme et apparentés, Lausanne University Hospital, Lausanne, Switzerland
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Sandra Martin-Brevet
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Randwick, Australia
| | - Samuel R Mathias
- Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Katie L McMahon
- Herston Imaging Research Facility and School of Clinical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Allan F McRae
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Torgeir Moberget
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Claudia Modenato
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- University of Lausanne, Lausanne, Switzerland
| | - Jennifer Monereo Sánchez
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Derek W Morris
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University Duesseldorf, Düsseldorf, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Robin M Murray
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Jacob Nielsen
- Signal Transduction, H. Lundbeck A/S, Ottiliavej 9, DK-2500, Valby, Denmark
| | | | - Lars Nyberg
- Umeå Centre for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, USA
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, University of California, Los Angeles, USA
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Zdenka Pausova
- Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada
- Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Juan M Peralta
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, USA
| | - G Bruce Pike
- Departments of Radiology and Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Carlos Prieto
- Bioinformatics Service, Nucleus, University of Salamanca, Salamanca, Spain
| | - Erin B Quinlan
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Céline S Reinbold
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Tiago Reis Marques
- Department of Psychosis, Institute of Psychiatry, Psychology & Neuroscience, Kings College, London, United Kingdom
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences (LMS), Hammersmith Hospital, Imperial College, London, United Kingdom
| | - James J H Rucker
- Institute of Psychiatry, Psychology and Neuroscience, London, London, United Kingdom
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia
| | - Sigrid B Sando
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- University Hospital of Trondheim,Department of Neurology and Clinical Neurophysiology, Trondheim, Norway
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Andrew J Schork
- Institute of Biological Psychiatry, Roskilde, Denmark
- The Translational Genetics Institute (TGEN), Phoenix, AZ, United States
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Jean Shin
- Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada
- Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Elena Shumskaya
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ana I Silva
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Cardiff University Brain Research Imaging Centre School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Chalfont Centre for Epilepsy, Chalfont-St-Peter, United Kingdom
| | - Vidar M Steen
- Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Lachlan T Strike
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Ikuo K Suzuki
- VIB Center for Brain & Disease Research, Stem Cell and Developmental Neurobiology Lab, Leuven, Belgium
- University of Brussels (ULB), Institute of Interdisciplinary Research (IRIBHM) ULB Neuroscience Institute, Brussels, Belgium
- The University of Tokyo, Department of Biological Sciences, Graduate School of Science, Tokyo, Japan
| | - Christian K Tamnes
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Diana Tordesillas-Gutiérrez
- University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Santander, Spain
- Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | - Anne Uhlmann
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Magnus O Ulfarsson
- deCODE Genetics (Amgen), Reykjavík, Iceland
- Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavík, Iceland
| | - Dennis van 't Ent
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Marianne B M van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Pierre Vanderhaeghen
- VIB-KU Leuven Center for Brain & Disease Research, 3000, Leuven, Belgium
- KU Leuven, Department of Neurosciences & Leuven Brain Institute, 3000, Leuven, Belgium
- Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070, Brussels, Belgium
| | - Evangelos Vassos
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research, Mental Health Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust and King's College London, London, United Kingdom
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Ingrid Agartz
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Kari Stefansson
- deCODE Genetics (Amgen), Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Sébastien Jacquemont
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada
- Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, USA
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|
52
|
Jiang X, Zhang T, Zhang S, Kendrick KM, Liu T. Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior. PSYCHORADIOLOGY 2021; 1:23-41. [PMID: 38665307 PMCID: PMC10939337 DOI: 10.1093/psyrad/kkab002] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/24/2021] [Accepted: 02/02/2021] [Indexed: 04/28/2024]
Abstract
Folding of the cerebral cortex is a prominent characteristic of mammalian brains. Alterations or deficits in cortical folding are strongly correlated with abnormal brain function, cognition, and behavior. Therefore, a precise mapping between the anatomy and function of the brain is critical to our understanding of the mechanisms of brain structural architecture in both health and diseases. Gyri and sulci, the standard nomenclature for cortical anatomy, serve as building blocks to make up complex folding patterns, providing a window to decipher cortical anatomy and its relation with brain functions. Huge efforts have been devoted to this research topic from a variety of disciplines including genetics, cell biology, anatomy, neuroimaging, and neurology, as well as involving computational approaches based on machine learning and artificial intelligence algorithms. However, despite increasing progress, our understanding of the functional anatomy of gyro-sulcal patterns is still in its infancy. In this review, we present the current state of this field and provide our perspectives of the methodologies and conclusions concerning functional differentiation between gyri and sulci, as well as the supporting information from genetic, cell biology, and brain structure research. In particular, we will further present a proposed framework for attempting to interpret the dynamic mechanisms of the functional interplay between gyri and sulci. Hopefully, this review will provide a comprehensive summary of anatomo-functional relationships in the cortical gyro-sulcal system together with a consideration of how these contribute to brain function, cognition, and behavior, as well as to mental disorders.
Collapse
Affiliation(s)
- Xi Jiang
- School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Shu Zhang
- Center for Brain and Brain-Inspired Computing Research, School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
| | - Keith M Kendrick
- School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Laboratory, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA 30605, USA
| |
Collapse
|
53
|
A novel TUBG1 mutation with neurodevelopmental disorder caused by malformations of cortical development. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6644274. [PMID: 33728335 PMCID: PMC7935588 DOI: 10.1155/2021/6644274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/17/2021] [Accepted: 02/08/2021] [Indexed: 11/30/2022]
Abstract
Neurodevelopmental disorder caused by malformations of cortical development is a rare neurological disease. Heterozygous missense variants in the TUBG1 gene lead to malformations of human cortical development, which further result in intellectual disability, developmental retardation, and epilepsy. To the best of our knowledge, only thirteen patients and a total of nine pathogenic TUBG1 variants have been described in the published literature. This study reports the case details and genetic data analysis of a girl (aged 8 years, 9 months) with developmental delay, psychomotor regression, epilepsy, and left external ear deformity. A novel TUBG1 mutation was identified by whole-exome sequencing and Sanger sequencing, confirming that this mutation may be the cause of the neurodevelopmental disorders. This case report characterizes the phenotypic spectrum, molecular genetic findings, and functional consequences of novel pathogenic TUBG1 variants in neurodevelopmental disorders caused by cortical development malformations.
Collapse
|
54
|
Severino M, Geraldo AF, Utz N, Tortora D, Pogledic I, Klonowski W, Triulzi F, Arrigoni F, Mankad K, Leventer RJ, Mancini GMS, Barkovich JA, Lequin MH, Rossi A. Definitions and classification of malformations of cortical development: practical guidelines. Brain 2021; 143:2874-2894. [PMID: 32779696 PMCID: PMC7586092 DOI: 10.1093/brain/awaa174] [Citation(s) in RCA: 120] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 03/14/2020] [Accepted: 03/30/2020] [Indexed: 12/31/2022] Open
Abstract
Malformations of cortical development are a group of rare disorders commonly manifesting with developmental delay, cerebral palsy or seizures. The neurological outcome is extremely variable depending on the type, extent and severity of the malformation and the involved genetic pathways of brain development. Neuroimaging plays an essential role in the diagnosis of these malformations, but several issues regarding malformations of cortical development definitions and classification remain unclear. The purpose of this consensus statement is to provide standardized malformations of cortical development terminology and classification for neuroradiological pattern interpretation. A committee of international experts in paediatric neuroradiology prepared systematic literature reviews and formulated neuroimaging recommendations in collaboration with geneticists, paediatric neurologists and pathologists during consensus meetings in the context of the European Network Neuro-MIG initiative on Brain Malformations (https://www.neuro-mig.org/). Malformations of cortical development neuroimaging features and practical recommendations are provided to aid both expert and non-expert radiologists and neurologists who may encounter patients with malformations of cortical development in their practice, with the aim of improving malformations of cortical development diagnosis and imaging interpretation worldwide.
Collapse
Affiliation(s)
| | - Ana Filipa Geraldo
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.,Neuroradiology Unit, Imaging Department, Centro Hospitalar Vila Nova de Gaia/Espinho (CHVNG/E), Vila Nova de Gaia, Portugal
| | - Norbert Utz
- Department of Pediatric Radiology, HELIOS Klinikum Krefeld, Germany
| | - Domenico Tortora
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Ivana Pogledic
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Wlodzimierz Klonowski
- Nalecz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Poland
| | - Fabio Triulzi
- Neuroradiology Unit, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Department of Pathophysiology and Transplantation, Università degli Studi Milano, Italy
| | - Filippo Arrigoni
- Department of Neuroimaging Lab, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Italy
| | - Kshitij Mankad
- Department of Radiology, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street, London, UK
| | - Richard J Leventer
- Department of Neurology Royal Children's Hospital, Murdoch Children's Research Institute and University of Melbourne Department of Pediatrics, Melbourne, Australia
| | - Grazia M S Mancini
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - James A Barkovich
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
| | - Maarten H Lequin
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| |
Collapse
|
55
|
Hatano M, Fukushima H, Ohto T, Ueno Y, Saeki S, Enokizono T, Tanaka R, Tanaka M, Imagawa K, Kanai Y, Kato M, Shiraku H, Suzuki H, Uehara T, Takenouchi T, Kosaki K, Takada H. Variants in KIF2A cause broad clinical presentation; the computational structural analysis of a novel variant in a patient with a cortical dysplasia, complex, with other brain malformations 3. Am J Med Genet A 2021; 185:1113-1119. [PMID: 33506645 DOI: 10.1002/ajmg.a.62084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 12/20/2020] [Accepted: 12/26/2020] [Indexed: 11/10/2022]
Abstract
Cortical dysplasia, complex, with other brain malformations 3 (CDCBM3) is a rare autosomal dominant syndrome caused by Kinesin family Member 2A (KIF2A) gene mutation. Patients with CDCBM3 exhibit posterior dominant agyria/pachygyria with severe motor dysfunction. Here, we report an 8-year-old boy with CDCBM3 showing a typical, but relatively mild, clinical presentation of CDCBM3 features. Whole-exome sequencing identified a heterozygous mutation of NM_001098511.2:c.1298C>A [p.(Ser433Tyr)]. To our knowledge, the mutation has never been reported previously. The variant was located distal to the nucleotide binding domain (NBD), in which previously-reported variants in CDCBM3 patients have been located. The computational structural analysis showed the p.433 forms the pocket with NBD. Variants in KIF2A have been reported in the NBD for CDCBM3, in the kinesin motor 3 domain, but not in the NBD in epilepsy, and outside of the kinesin motor domain in autism spectrum syndrome, respectively. Our patient has a variant, that is not in the NBD but at the pocket with the NBD, resulting in a clinical features of CDCBM3 with mild symptoms. The clinical findings of patients with KIF2A variants appear restricted to the central nervous system and facial anomalies. We can call this spectrum "KIF2A syndrome" with variable severity.
Collapse
Affiliation(s)
- Maiko Hatano
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan
| | - Hiroko Fukushima
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan.,Department of Child Health, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Tatsuyuki Ohto
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan.,Department of Child Health, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Yuichi Ueno
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan
| | - Saki Saeki
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan
| | - Takashi Enokizono
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan
| | - Ryuta Tanaka
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan
| | - Mai Tanaka
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan
| | - Kazuo Imagawa
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan
| | - Yu Kanai
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan
| | - Mitsuhiro Kato
- Department of Pediatrics, Showa University School of Medicine, Tokyo, Japan.,Department of Pediatrics, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Hiroshi Shiraku
- Department of Pediatrics, JA Toride Medical Center, Ibaraki, Japan
| | - Hisato Suzuki
- Center for Medical Genetics, Keio University of School of Medicine, Tokyo, Japan
| | - Tomoko Uehara
- Center for Medical Genetics, Keio University of School of Medicine, Tokyo, Japan
| | - Toshiki Takenouchi
- Center for Medical Genetics, Keio University of School of Medicine, Tokyo, Japan
| | - Kenjiro Kosaki
- Center for Medical Genetics, Keio University of School of Medicine, Tokyo, Japan
| | - Hidetoshi Takada
- Department of Pediatrics, University of Tsukuba Hospital, Ibaraki, Japan.,Department of Child Health, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| |
Collapse
|
56
|
Kolbjer S, Martin DA, Pettersson M, Dahlin M, Anderlid BM. Lissencephaly in an epilepsy cohort: Molecular, radiological and clinical aspects. Eur J Paediatr Neurol 2021; 30:71-81. [PMID: 33453472 DOI: 10.1016/j.ejpn.2020.12.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 12/22/2020] [Accepted: 12/27/2020] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Lissencephaly is a rare malformation of cortical development due to abnormal transmantle migration resulting in absent or reduced gyration. The lissencephaly spectrum consists of agyria, pachygyria and subcortical band heterotopia. In this study we compared genetic aetiology, neuroradiology, clinical phenotype and response to antiepileptic drugs in patients with epilepsy and lissencephaly spectrum malformations. METHODS The study group consisted of 20 patients - 13 males and 7 females, aged 18 months to 21 years at the time of data collection. Genetic testing was performed by oligonucleotide array comparative genomic hybridization (microarray), multiplex ligation-dependent probe amplification (MLPA), targeted gene panels and whole exome/genome sequencing. All neuroradiological investigations were re-evaluated and the malformations were classified by the same neuroradiologist. Clinical features and response to anti-epileptic drugs (AEDs) were evaluated by retrospective review of medical records. RESULTS In eleven patients (55%) mutations in PAFAH1B1 (LIS1) or variable microdeletions of 17p13.3 including the PAFAH1B1 gene were detected. Four patients (20%) had tubulin encoding gene mutations (TUBA1A, TUBG1 and TUBGCP6). Mutations in DCX, DYNC1H1, ADGRG1 and WDR62 were identified in single patients. In one patient, a possibly pathogenic intragenic deletion in TRIO was detected. A clear radiologic distinction could be made between tubulinopathies and PAFAH1B1 related lissencephaly. The majority of the patients had therapy resistant epilepsy and epileptic spasms was the most prominent seizure type. The best therapeutic response to seizure control in our cohort was obtained by the ketogenic diet, vigabatrin, clobazam, phenobarbital and valproate. CONCLUSION The most common genetic aetiologies in our cohort of 20 individuals with epilepsy and lissencephaly spectrum were intragenic deletions or single nucleotide mutations in PAFAH1B1 or larger deletions in 17p13.3, encompassing PAFAH1B1, followed by mutations in tubulin encoding genes. Radiological findings could reliably predict molecular results only in agyria with a posterior to anterior gradient. Radiological and molecular findings did not correlate consistently with severity of clinical outcome or therapeutic response.
Collapse
Affiliation(s)
- Sintia Kolbjer
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Neuropaediatrics, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden.
| | - Daniel A Martin
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden; Department of Paediatric Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Pettersson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Dahlin
- Department of Neuropaediatrics, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden; Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Britt-Marie Anderlid
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
57
|
Ekins TG, Mahadevan V, Zhang Y, D'Amour JA, Akgül G, Petros TJ, McBain CJ. Emergence of non-canonical parvalbumin-containing interneurons in hippocampus of a murine model of type I lissencephaly. eLife 2020; 9:e62373. [PMID: 33150866 PMCID: PMC7673787 DOI: 10.7554/elife.62373] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 11/04/2020] [Indexed: 12/11/2022] Open
Abstract
Type I lissencephaly is a neuronal migration disorder caused by haploinsuffiency of the PAFAH1B1 (mouse: Pafah1b1) gene and is characterized by brain malformation, developmental delays, and epilepsy. Here, we investigate the impact of Pafah1b1 mutation on the cellular migration, morphophysiology, microcircuitry, and transcriptomics of mouse hippocampal CA1 parvalbumin-containing inhibitory interneurons (PV+INTs). We find that WT PV+INTs consist of two physiological subtypes (80% fast-spiking (FS), 20% non-fast-spiking (NFS)) and four morphological subtypes. We find that cell-autonomous mutations within interneurons disrupts morphophysiological development of PV+INTs and results in the emergence of a non-canonical 'intermediate spiking (IS)' subset of PV+INTs. We also find that now dominant IS/NFS cells are prone to entering depolarization block, causing them to temporarily lose the ability to initiate action potentials and control network excitation, potentially promoting seizures. Finally, single-cell nuclear RNAsequencing of PV+INTs revealed several misregulated genes related to morphogenesis, cellular excitability, and synapse formation.
Collapse
Affiliation(s)
- Tyler G Ekins
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of HealthBethesdaUnited States
- NIH-Brown University Graduate Partnership ProgramProvidenceUnited States
| | - Vivek Mahadevan
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of HealthBethesdaUnited States
| | - Yajun Zhang
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of HealthBethesdaUnited States
| | - James A D'Amour
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of HealthBethesdaUnited States
- Postdoctoral Research Associate Training Program, National Institute of General Medical SciencesBethesdaUnited States
| | - Gülcan Akgül
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of HealthBethesdaUnited States
| | - Timothy J Petros
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of HealthBethesdaUnited States
| | - Chris J McBain
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of HealthBethesdaUnited States
| |
Collapse
|
58
|
Jauhari P, Farmania R, Chakrabarty B, Kumar A, Gulati S. Electrographic pattern recognition: A simple tool to predict clinical outcome in children with lissencephaly. Seizure 2020; 83:175-180. [PMID: 33161247 DOI: 10.1016/j.seizure.2020.10.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 08/24/2020] [Accepted: 10/21/2020] [Indexed: 11/25/2022] Open
Abstract
PURPOSE To describe and correlate the clinical, radiological and EEG findings in children with lissencephaly. METHOD Retrospective record analysis of children with lissencephaly presenting to tertiary health centre in Northern India was performed. Radiological classification and severity scoring were done. EEG findings were categorized into three patterns and its association with clinical severity was studied. RESULTS Twenty-eight children (males = 17) with lissencephaly were enrolled. Median age at diagnosis was 6.5months (range 3days-3years). Global developmental delay (median social quotient (SQ) = 25 (range15-68) was seen in all; motor deficits in 23 (82 %); epilepsy in 21 (75 %); behavioural problems in 18 (64 %); ophthalmic problems in 17 (61 %); microcephaly in 13 (46 %); feeding difficulty in 12 (43 %). Radiologically, classical Type I lissencephaly was seen in 18(64 %), cobblestone variant (Type II) in 5 (18 %) and microlissencephaly in 5 (18 %). Grade 4 (diffuse pachygyria) radiologic severity was most common (severity grade 1-6); no cases with severity score 5 or 6 were seen. The clinical profile did not correspond with radiological severity grading. EEG pattern recognition revealed pattern I in 14 (50 %); pattern II in 6 (21 %); pattern III in 8 (29 %). Children with pattern III EEG had drug resistant epilepsy and severe developmental delay. No relationship between EEG patterns and radiological severity grading was evident. CONCLUSION EEG is better predictor of clinical status and outcome rather than radiological severity grading. EEG pattern III is associated with severe developmental delay and drug resistant epilepsy.
Collapse
Affiliation(s)
- Prashant Jauhari
- Center of Excellence and Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
| | - Rajni Farmania
- Center of Excellence and Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
| | - Biswaroop Chakrabarty
- Center of Excellence and Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
| | - Atin Kumar
- Department of Radiodiagnosis, JNPATC, All India Institute of Medical Sciences, New Delhi, India.
| | - Sheffali Gulati
- Center of Excellence and Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
| |
Collapse
|
59
|
International consensus recommendations on the diagnostic work-up for malformations of cortical development. Nat Rev Neurol 2020; 16:618-635. [PMID: 32895508 PMCID: PMC7790753 DOI: 10.1038/s41582-020-0395-6] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2020] [Indexed: 12/22/2022]
Abstract
Malformations of cortical development (MCDs) are neurodevelopmental disorders that result from abnormal development of the cerebral cortex in utero. MCDs place a substantial burden on affected individuals, their families and societies worldwide, as these individuals can experience lifelong drug-resistant epilepsy, cerebral palsy, feeding difficulties, intellectual disability and other neurological and behavioural anomalies. The diagnostic pathway for MCDs is complex owing to wide variations in presentation and aetiology, thereby hampering timely and adequate management. In this article, the international MCD network Neuro-MIG provides consensus recommendations to aid both expert and non-expert clinicians in the diagnostic work-up of MCDs with the aim of improving patient management worldwide. We reviewed the literature on clinical presentation, aetiology and diagnostic approaches for the main MCD subtypes and collected data on current practices and recommendations from clinicians and diagnostic laboratories within Neuro-MIG. We reached consensus by 42 professionals from 20 countries, using expert discussions and a Delphi consensus process. We present a diagnostic workflow that can be applied to any individual with MCD and a comprehensive list of MCD-related genes with their associated phenotypes. The workflow is designed to maximize the diagnostic yield and increase the number of patients receiving personalized care and counselling on prognosis and recurrence risk.
Collapse
|
60
|
Rossi-Espagnet MC, Dentici ML, Pasquini L, Carducci C, Lucignani M, Longo D, Agolini E, Novelli A, Gonfiantini MV, Digilio MC, Napolitano A, Bartuli A. Microcephalic osteodysplastic primordial dwarfism type II and pachygyria: Morphometric analysis in a 2-year-old girl. Am J Med Genet A 2020; 182:2372-2376. [PMID: 32744776 DOI: 10.1002/ajmg.a.61771] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 12/22/2022]
Abstract
Microcephalic osteodysplastic primordial dwarfism (MOPD) type II is a rare disorder characterized by skeletal dysplasia, severe proportionate short stature, insulin resistance and cerebrovascular abnormalities including cerebral aneurysms and moyamoya disease. MOPD type II is caused by mutations in the pericentrin (PCNT) gene, which encodes a protein involved in centrosomes function. We report a 2 year old girl affected by MOPD type II caused by two compound heterozygous loss-of-function variants in PCNT gene, of which one is a novel variant (c.5304delT; p.Gly1769AlafsTer34). The patient presented atypical brain magnetic resonance imaging (MRI) findings consistent with pachygyria. This was confirmed by morphometric analysis of cortical thickness (CT) and gyrification index by comparing MRI data of the patient with a group of eight age-matched healthy controls. The statistical analysis revealed a significant and diffuse increase of CT with an anterior-predominant pattern and diffuse reduced gyrification (p < .05). These findings provide new evidences to the emergent concept that malformations of cortical development are complex disorders and that new genetic findings contribute to the fading of classification borders.
Collapse
Affiliation(s)
- Maria C Rossi-Espagnet
- Neuroradiology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
- Nesmos Department, Sapienza University, Rome, Italy
| | - Maria L Dentici
- Rare Diseases and Medical Genetics Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Luca Pasquini
- Neuroradiology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
- Nesmos Department, Sapienza University, Rome, Italy
| | - Chiara Carducci
- Neuroradiology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Martina Lucignani
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Daniela Longo
- Neuroradiology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Emanuele Agolini
- Laboratory of Medical Genetics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Antonio Novelli
- Laboratory of Medical Genetics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | | | - Maria C Digilio
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Antonio Napolitano
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Andrea Bartuli
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| |
Collapse
|
61
|
Arrigoni F, Peruzzo D, Mandelstam S, Amorosino G, Redaelli D, Romaniello R, Leventer R, Borgatti R, Seal M, Yang JYM. Characterizing White Matter Tract Organization in Polymicrogyria and Lissencephaly: A Multifiber Diffusion MRI Modeling and Tractography Study. AJNR Am J Neuroradiol 2020; 41:1495-1502. [PMID: 32732266 DOI: 10.3174/ajnr.a6646] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 05/11/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Polymicrogyria and lissencephaly may be associated with abnormal organization of the undelying white matter tracts that have been rarely investigated so far. Our aim was to characterize white matter tract organization in polymicrogyria and lissencephaly using constrained spherical deconvolution, a multifiber diffusion MR imaging modeling technique for white matter tractography reconstruction. MATERIALS AND METHODS We retrospectively reviewed 50 patients (mean age, 8.3 ± 5.4 years; range, 1.4-21.2 years; 27 males) with different polymicrogyria (n = 42) and lissencephaly (n = 8) subtypes. The fiber direction-encoded color maps and 6 different white matter tracts reconstructed from each patient were visually compared with corresponding images reconstructed from 7 age-matched, healthy control WM templates. Each white matter tract was assessed by 2 experienced pediatric neuroradiologists and scored in consensus on the basis of the severity of the structural abnormality, ranging from the white matter tracts being absent to thickened. The results were summarized by different polymicrogyria and lissencephaly subgroups. RESULTS More abnormal-appearing white matter tracts were identified in patients with lissencephaly compared with those with polymicrogyria (79.2% versus 37.3%). In lissencephaly, structural abnormalities were identified in all studied white matter tracts. In polymicrogyria, the more frequently affected white matter tracts were the cingulum, superior longitudinal fasciculus, inferior longitudinal fasciculus, and optic radiation-posterior corona radiata. The severity of superior longitudinal fasciculus and cingulum abnormalities was associated with the polymicrogyria distribution and extent. A thickened superior fronto-occipital fasciculus was demonstrated in 3 patients. CONCLUSIONS We demonstrated a range of white matter tract structural abnormalities in patients with polymicrogyria and lissencephaly. The patterns of white matter tract involvement are related to polymicrogyria and lissencephaly subgroups, distribution, and, possibly, their underlying etiologies.
Collapse
Affiliation(s)
- F Arrigoni
- From the Scientific Institute, IRCCS E. Medea (F.A., D.P., G.A., D.R., R.R.), Bosisio Parini, Italy
| | - D Peruzzo
- From the Scientific Institute, IRCCS E. Medea (F.A., D.P., G.A., D.R., R.R.), Bosisio Parini, Italy
| | - S Mandelstam
- Murdoch Children's Research Institute (S.M., R.L., M.S., J.Y.-M.Y.), Parkville, Australia.,Royal Children's Hospital (S.M., R.L.), Parkville, Australia; Neuroscience Advanced Clinical Imaging Suite (NACIS) (J.Y.-M.Y.), Department of Neurosurgery, The Royal Children's Hospital, Victoria, Australia.,University of Melbourne (S.M., R.L., M.S., J.Y.-M.Y.), Parkville, Australia.,Florey Institute of Neuroscience and Mental Health (S.M.), Parkville, Australia
| | - G Amorosino
- From the Scientific Institute, IRCCS E. Medea (F.A., D.P., G.A., D.R., R.R.), Bosisio Parini, Italy.,Bruno Kessler Foundation (G.A.), Trento, Italy.,University of Trento, Center for Mind/Brain Sciences (G.A.), Rovereto, Italy
| | - D Redaelli
- From the Scientific Institute, IRCCS E. Medea (F.A., D.P., G.A., D.R., R.R.), Bosisio Parini, Italy
| | - R Romaniello
- From the Scientific Institute, IRCCS E. Medea (F.A., D.P., G.A., D.R., R.R.), Bosisio Parini, Italy
| | - R Leventer
- Murdoch Children's Research Institute (S.M., R.L., M.S., J.Y.-M.Y.), Parkville, Australia.,Royal Children's Hospital (S.M., R.L.), Parkville, Australia; Neuroscience Advanced Clinical Imaging Suite (NACIS) (J.Y.-M.Y.), Department of Neurosurgery, The Royal Children's Hospital, Victoria, Australia.,University of Melbourne (S.M., R.L., M.S., J.Y.-M.Y.), Parkville, Australia
| | - R Borgatti
- Istituto di ricovero e cura a carattere scientifico Mondino Foundation (R.B.), Pavia, Italy.,University of Pavia (R.B.), Pavia, Italy
| | - M Seal
- Murdoch Children's Research Institute (S.M., R.L., M.S., J.Y.-M.Y.), Parkville, Australia.,University of Melbourne (S.M., R.L., M.S., J.Y.-M.Y.), Parkville, Australia
| | - J Y-M Yang
- Murdoch Children's Research Institute (S.M., R.L., M.S., J.Y.-M.Y.), Parkville, Australia.,Royal Children's Hospital (S.M., R.L.), Parkville, Australia; Neuroscience Advanced Clinical Imaging Suite (NACIS) (J.Y.-M.Y.), Department of Neurosurgery, The Royal Children's Hospital, Victoria, Australia.,University of Melbourne (S.M., R.L., M.S., J.Y.-M.Y.), Parkville, Australia
| |
Collapse
|
62
|
D'Amour JA, Ekins T, Ganatra S, Yuan X, McBain CJ. Aberrant sorting of hippocampal complex pyramidal cells in type I lissencephaly alters topological innervation. eLife 2020; 9:55173. [PMID: 32558643 PMCID: PMC7340499 DOI: 10.7554/elife.55173] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 06/19/2020] [Indexed: 11/30/2022] Open
Abstract
Layering has been a long-appreciated feature of higher order mammalian brain structures but the extent to which it plays an instructive role in synaptic specification remains unknown. Here we examine the formation of synaptic circuitry under cellular heterotopia in hippocampal CA1, using a mouse model of the human neurodevelopmental disorder Type I Lissencephaly. We identify calbindin-expressing principal cells which are mispositioned under cellular heterotopia. Ectopic calbindin-expressing principal cells develop relatively normal morphological features and stunted intrinsic physiological features. Regarding network development, a connectivity preference for cholecystokinin-expressing interneurons to target calbindin-expressing principal cells is diminished. Moreover, in vitro gamma oscillatory activity is less synchronous across heterotopic bands and mutants are less responsive to pharmacological inhibition of cholecystokinin-containing interneurons. This study will aid not only in our understanding of how cellular networks form but highlight vulnerable cellular circuit motifs that might be generalized across disease states.
Collapse
Affiliation(s)
- James A D'Amour
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, United States.,Postdoctoral Research Associate Training Program, National Institute of General Medical Sciences, Bethesda, United States
| | - Tyler Ekins
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, United States.,Brown University, Department of Neuroscience, Providence, United States
| | - Stuti Ganatra
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, United States
| | - Xiaoqing Yuan
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, United States
| | - Chris J McBain
- Program in Developmental Neurobiology, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, United States
| |
Collapse
|
63
|
Autosomal dominant TUBB3-related syndrome: Fetal, radiologic, clinical and morphological features. Eur J Paediatr Neurol 2020; 26:46-60. [PMID: 32169460 DOI: 10.1016/j.ejpn.2020.03.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 02/23/2020] [Accepted: 03/01/2020] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To describe fetal, clinical, radiological, morphological features of TUBB3 related syndrome. METHODS We report two families each of two generations harboring a novel and a previously described heterozygous TUBB3 pathogenic variants. We compared these patients with other published TUBB3-related cases. We describe the pathological features of dysgyria in the two aborted fetuses. RESULTS The mother and son from family 1 had a history of mild developmental delay in motor and language skills and demonstrated mild cerebellar signs and mirror movements. Neuroimaging findings included: hypoplastic corpus callosum (CC), asymmetric ventriculomegaly and cerebellar vermis hypoplasia in all patients and frontal dysgyria in three. Autopsy of the fetal brain showed an unusual shape and orientation of the frontal sulci and gyri with normal cortical layering and no abnormal cell types. The mother of family 2 had congenital strabismus, mild muscle weakness on the right and a past history of developmental delay. Fetal brain MRI showed abnormal cerebral sulcation, hemispheric asymmetry, asymmetric ventriculomegaly, dysmorphic short CC and frontal cortical interdigitation. Autopsy demonstrated fronto-parietal predominant dysgyria, bilateral ventriculomegaly, hippocampal and CC hypoplasia, abnormal Sylvian fissure. Lamination and neuron morphology in the areas of dysgyria were normal. CONCLUSIONS TUBB3 related cortical malformations can be mild, consistent with dysgyria rather than typical pachygyria or polymicrogyria. The autopsy findings in fetal TUBB3 related dysgyria are abnormal orientation of sulci and gyri, but normal neuron morphology and layering. We suggest that TUBB3 - associated brain malformations can be suspected in-utero which in turn can aid in prognostic counselling and interpretation of genetic testing.
Collapse
|
64
|
Tsai MH, Muir AM, Wang WJ, Kang YN, Yang KC, Chao NH, Wu MF, Chang YC, Porter BE, Jansen LA, Sebire G, Deconinck N, Fan WL, Su SC, Chung WH, Almanza Fuerte EP, Mehaffey MG, Ng CC, Chan CK, Lim KS, Leventer RJ, Lockhart PJ, Riney K, Damiano JA, Hildebrand MS, Mirzaa GM, Dobyns WB, Berkovic SF, Scheffer IE, Tsai JW, Mefford HC. Pathogenic Variants in CEP85L Cause Sporadic and Familial Posterior Predominant Lissencephaly. Neuron 2020; 106:237-245.e8. [PMID: 32097630 PMCID: PMC7357395 DOI: 10.1016/j.neuron.2020.01.027] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/26/2019] [Accepted: 01/22/2020] [Indexed: 12/11/2022]
Abstract
Lissencephaly (LIS), denoting a "smooth brain," is characterized by the absence of normal cerebral convolutions with abnormalities of cortical thickness. Pathogenic variants in over 20 genes are associated with LIS. The majority of posterior predominant LIS is caused by pathogenic variants in LIS1 (also known as PAFAH1B1), although a significant fraction remains without a known genetic etiology. We now implicate CEP85L as an important cause of posterior predominant LIS, identifying 13 individuals with rare, heterozygous CEP85L variants, including 2 families with autosomal dominant inheritance. We show that CEP85L is a centrosome protein localizing to the pericentriolar material, and knockdown of Cep85l causes a neuronal migration defect in mice. LIS1 also localizes to the centrosome, suggesting that this organelle is key to the mechanism of posterior predominant LIS.
Collapse
Affiliation(s)
- Meng-Han Tsai
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan 833, ROC; School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan 33302, ROC
| | - Alison M Muir
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Won-Jing Wang
- Institute of Biochemistry and Molecular Biology, College of Life Science, National Yang-Ming University, Taipei, Taiwan, ROC
| | - Yi-Ning Kang
- Institute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC
| | - Kun-Chuan Yang
- Institute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC
| | - Nian-Hsin Chao
- Institute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC
| | - Mei-Feng Wu
- Institute of Biochemistry and Molecular Biology, College of Life Science, National Yang-Ming University, Taipei, Taiwan, ROC
| | - Ying-Chao Chang
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan, ROC
| | - Brenda E Porter
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Laura A Jansen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Guillaume Sebire
- Department of Pediatrics, McGill University, Montreal, QC, Canada
| | - Nicolas Deconinck
- Department of Paediatric Neurology, Hôpital Universitaire des Enfants Reine Fabiola, HUDERF, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Wen-Lang Fan
- Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan, ROC
| | - Shih-Chi Su
- Whole-Genome Research Core Laboratory of Human Diseases, Chang Gung Memorial Hospital, Keelung, Taiwan, ROC
| | - Wen-Hung Chung
- School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan 33302, ROC; Whole-Genome Research Core Laboratory of Human Diseases, Chang Gung Memorial Hospital, Keelung, Taiwan, ROC; Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Linkou, Taipei and Keelung, Taiwan, ROC
| | | | - Michele G Mehaffey
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Ching-Ching Ng
- Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia
| | - Chung-Kin Chan
- Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia
| | - Kheng-Seang Lim
- Division of Neurology, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Richard J Leventer
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3052, VIC, Australia; Departments of Paediatrics and Neurology, The Royal Children's Hospital, The University of Melbourne, Melbourne 3052, VIC, Australia
| | - Paul J Lockhart
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3052, VIC, Australia; Departments of Paediatrics and Neurology, The Royal Children's Hospital, The University of Melbourne, Melbourne 3052, VIC, Australia
| | - Kate Riney
- Neurosciences Unit, Queensland Children's Hospital and School of Medicine, University of Queensland, Brisbane 4101, QLD, Australia
| | - John A Damiano
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3052, VIC, Australia; Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne 3084, VIC, Australia
| | - Michael S Hildebrand
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3052, VIC, Australia; Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne 3084, VIC, Australia
| | - Ghayda M Mirzaa
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA; Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA 98105, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - William B Dobyns
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA; Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA 98105, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Samuel F Berkovic
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne 3084, VIC, Australia
| | - Ingrid E Scheffer
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3052, VIC, Australia; Departments of Paediatrics and Neurology, The Royal Children's Hospital, The University of Melbourne, Melbourne 3052, VIC, Australia; Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne 3084, VIC, Australia; The Florey Institute of Neuroscience and Mental Health, Melbourne 3052, VIC, Australia
| | - Jin-Wu Tsai
- Institute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC; Brain Research Center, National Yang-Ming University, Taipei 112, Taiwan, ROC; Department of Biological Science & Technology, National Chiao Tung University, Hsin-Chu 30010, Taiwan, ROC.
| | - Heather C Mefford
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
| |
Collapse
|
65
|
Kodani A, Kenny C, Lai A, Gonzalez DM, Stronge E, Sejourne GM, Isacco L, Partlow JN, O'Donnell A, McWalter K, Byrne AB, Barkovich AJ, Yang E, Hill RS, Gawlinski P, Wiszniewski W, Cohen JS, Fatemi SA, Baranano KW, Sahin M, Vossler DG, Yuskaitis CJ, Walsh CA. Posterior Neocortex-Specific Regulation of Neuronal Migration by CEP85L Identifies Maternal Centriole-Dependent Activation of CDK5. Neuron 2020; 106:246-255.e6. [PMID: 32097629 PMCID: PMC7255387 DOI: 10.1016/j.neuron.2020.01.030] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 11/22/2019] [Accepted: 01/22/2020] [Indexed: 01/01/2023]
Abstract
Genes mutated in human neuronal migration disorders encode tubulin proteins and a variety of tubulin-binding and -regulating proteins, but it is very poorly understood how these proteins function together to coordinate migration. Additionally, the way in which regional differences in neocortical migration are controlled is completely unknown. Here we describe a new syndrome with remarkably region-specific effects on neuronal migration in the posterior cortex, reflecting de novo variants in CEP85L. We show that CEP85L is required cell autonomously in vivo and in vitro for migration, that it localizes to the maternal centriole, and that it forms a complex with many other proteins required for migration, including CDK5, LIS1, NDE1, KIF2A, and DYNC1H1. Loss of CEP85L disrupts CDK5 localization and activation, leading to centrosome disorganization and disrupted microtubule cytoskeleton organization. Together, our findings suggest that CEP85L highlights a complex that controls CDK5 activity to promote neuronal migration.
Collapse
Affiliation(s)
- Andrew Kodani
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA.
| | - Connor Kenny
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Abbe Lai
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA; Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Dilenny M Gonzalez
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Edward Stronge
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Gabrielle M Sejourne
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Laura Isacco
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Jennifer N Partlow
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Anne O'Donnell
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA; Center for Mendelian Genomics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Alicia B Byrne
- Center for Mendelian Genomics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, SA, Australia; School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA, Australia
| | - A James Barkovich
- Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Edward Yang
- Department of Radiology, Boston Children's Hospital, Boston, MA, USA
| | - R Sean Hill
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Pawel Gawlinski
- Department of Medical Genetics, Institute of Mother and Child, Warsaw, Poland
| | - Wojciech Wiszniewski
- Department of Medical Genetics, Institute of Mother and Child, Warsaw, Poland; Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
| | - Julie S Cohen
- Division of Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S Ali Fatemi
- Division of Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristin W Baranano
- Division of Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mustafa Sahin
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - David G Vossler
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Christopher J Yuskaitis
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA; Division of Epilepsy and Neurophysiology, Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Christopher A Walsh
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
66
|
Abstract
OBJECTIVES To review the current imaging techniques available for the evaluation of the fetal brain. FINDINGS Ultrasound remains the initial screening modality with routine scanning typically performed at 18-20 weeks gestation. When a central nervous system (CNS) abnormality is noted by ultrasound, MRI is increasingly being used to further clarify findings. Fetal MRI has the unique ability to provide high detailed anatomical information of the entire human fetus with high contrast resolution. This technique has grown due to the development of rapid single shot image acquisition sequences, improvement of motion correction strategies and optimizing shimming techniques. CONCLUSIONS The assessment of fetal CNS anomalies continues to improve. Advanced MRI techniques have allowed for further delineation of CNS anomalies and have become a cornerstone in the assessment of fetal brain well-being. Those interpreting fetal studies need to be familiar with the strengths and limitations of each exam and be sensitive to the impact discussing findings can have regarding perinatal care and delivery planning. Collaboration with neurologists, neurosurgeons, geneticists, counselors, and maternal fetal specialists are key in providing the best care to the families we treat.
Collapse
Affiliation(s)
- Agustin M Cardenas
- Department of Radiology, Children's of Alabama University of Alabama at Birmingham
| | - Matthew T Whitehead
- Department of Radiology, Children's of Alabama University of Alabama at Birmingham
| | - Dorothy I Bulas
- Department of Radiology, Children's of Alabama University of Alabama at Birmingham; George Washington School of Medicine, Washington, DC.
| |
Collapse
|
67
|
Groden M, Weigand M, Triesch J, Jedlicka P, Cuntz H. A Model of Brain Folding Based on Strong Local and Weak Long-Range Connectivity Requirements. Cereb Cortex 2019; 30:2434-2451. [DOI: 10.1093/cercor/bhz249] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 08/20/2019] [Accepted: 10/01/2019] [Indexed: 12/21/2022] Open
Abstract
Abstract
Throughout the animal kingdom, the structure of the central nervous system varies widely from distributed ganglia in worms to compact brains with varying degrees of folding in mammals. The differences in structure may indicate a fundamentally different circuit organization. However, the folded brain most likely is a direct result of mechanical forces when considering that a larger surface area of cortex packs into the restricted volume provided by the skull. Here, we introduce a computational model that instead of modeling mechanical forces relies on dimension reduction methods to place neurons according to specific connectivity requirements. For a simplified connectivity with strong local and weak long-range connections, our model predicts a transition from separate ganglia through smooth brain structures to heavily folded brains as the number of cortical columns increases. The model reproduces experimentally determined relationships between metrics of cortical folding and its pathological phenotypes in lissencephaly, polymicrogyria, microcephaly, autism, and schizophrenia. This suggests that mechanical forces that are known to lead to cortical folding may synergistically contribute to arrangements that reduce wiring. Our model provides a unified conceptual understanding of gyrification linking cellular connectivity and macroscopic structures in large-scale neural network models of the brain.
Collapse
Affiliation(s)
- Moritz Groden
- Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main D-60528, Germany
- Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main D-60438, Germany
- ICAR3R—Interdisciplinary Centre for 3Rs in Animal Research, Justus Liebig University Giessen, Giessen D-35390, Germany
| | - Marvin Weigand
- Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main D-60528, Germany
- Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main D-60438, Germany
- Faculty of Biological Sciences, Goethe University, Frankfurt am Main D-60438, Germany
| | - Jochen Triesch
- Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main D-60438, Germany
- Faculty of Physics, Goethe University, Frankfurt am Main D-60438, Germany
- Faculty of Computer Science and Mathematics, Goethe University, Frankfurt am Main D-60438, Germany
| | - Peter Jedlicka
- Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main D-60438, Germany
- ICAR3R—Interdisciplinary Centre for 3Rs in Animal Research, Justus Liebig University Giessen, Giessen D-35390, Germany
- Institute of Clinical Neuroanatomy, Neuroscience Center, Goethe University, Frankfurt am Main D-60528, Germany
| | - Hermann Cuntz
- Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main D-60528, Germany
- Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main D-60438, Germany
| |
Collapse
|
68
|
ffrench-Constant S, Kachramanoglou C, Jones B, Basheer N, Syrmos N, Ganau M, Jan W. Fetal and neonatal MRI features of ARX-related lissencephaly presenting with neonatal refractory seizure disorder. Quant Imaging Med Surg 2019; 9:1767-1772. [PMID: 31867230 PMCID: PMC6902141 DOI: 10.21037/qims.2019.10.14] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 10/10/2019] [Indexed: 01/05/2023]
Affiliation(s)
| | | | - Brynmor Jones
- Department of Imaging, Imperial College Healthcare NHS Trust, London, UK
| | - Nigel Basheer
- Department of Paediatrics, Imperial College Healthcare NHS Trust, London, UK
| | - Nikolaos Syrmos
- School of Medicine, Aristotle University of Thessaloniki, Macedonia, Greece
| | - Mario Ganau
- Department of Neurosurgery, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Wajanat Jan
- Department of Imaging, Imperial College Healthcare NHS Trust, London, UK
| |
Collapse
|
69
|
Matas JL, Agana DFG, Germanos GJ, Hansen MA, Modak S, Tanner JP, Langlois PH, Salemi JL. Exploring classification of birth defects severity in national hospital discharge databases compared to an active surveillance program. Birth Defects Res 2019; 111:1343-1355. [PMID: 31222957 DOI: 10.1002/bdr2.1539] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 05/22/2019] [Accepted: 06/06/2019] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To explore the extent to which the severity of birth defects could be differentiated using severity of illness (SOI) and risk of mortality (ROM) measures available in national discharge databases. METHODS Data from the 2012-14 National Inpatient Sample (NIS) was used to identify hospitalizations with one or more major birth defects reported annually to the National Birth Defects Prevention Network using the International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) diagnosis codes. Each hospitalization also contained a 4-level SOI and 4-level ROM classification measure. For each birth defect and for each individual birth defect-related ICD-9-CM code, we calculated mean and median SOI and ROM, the proportion of hospitalizations in each level of SOI and ROM, the inpatient mortality rate, and level of agreement between various existing or derived severity proxies in the NIS and the Texas Birth Defects Registry (TBDR). RESULTS Mean SOI ranged from 1.5 (cleft lip alone) to 3.7 (single ventricle), and mean ROM ranged from 1.1 (cleft lip alone) to 3.9 (anencephaly). As a group, critical congenital heart defects had the highest average number of co-occurring defects, mean SOI, and ROM, whereas orofacial and genitourinary defects had the lowest SOI and ROM. We found strong levels of agreement between TBDR severity classifications and NIS severity classifications defined using Level 3 or 4 SOI or ROM Level 3 or 4. CONCLUSIONS This preliminary investigation demonstrated how severity indices of birth defects could be differentiated and compared to a severity algorithm of an existing surveillance program.
Collapse
Affiliation(s)
- Jennifer L Matas
- Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas
| | - Denny Fe G Agana
- Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas
| | - George J Germanos
- Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas
| | - Michael A Hansen
- Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas
| | - Sanjukta Modak
- Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas
| | - Jean Paul Tanner
- Birth Defects Surveillance Program, College of Public Health, University of South Florida, Tampa, Florida
| | - Peter H Langlois
- Birth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas
| | - Jason L Salemi
- Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas.,Birth Defects Surveillance Program, College of Public Health, University of South Florida, Tampa, Florida
| |
Collapse
|
70
|
Differential distributions of parvalbumin-positive interneurons in the sulci and gyri of the adult ferret cerebral cortex. Neuroreport 2019; 30:993-997. [PMID: 31464840 DOI: 10.1097/wnr.0000000000001309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Although accumulating evidence suggests that there are significant anatomical and histological differences between the sulci and gyri of the cerebral cortex, whether there is a difference in the distribution of interneurons between the two cortical regions remains largely unknown. In this study, we systematically compared the distributions of parvalbumin-positive interneurons among three neighboring gyrus and sulcus pairs-coronal gyrus and cruciate sulcus, anterior ectosylvian gyrus and rostral suprasylvian sulcus, and posterior ectosylvian gyrus and pseudosylvian sulcus-in the adult ferret cerebral cortex. We proposed a method to partition sulci and gyri into several specific subregions through the deepest points of the sulci and the highest points of gyri in the inner and outer cortical contours of coronal sections. We found that the density of parvalbumin-positive interneurons in the gyri was significantly higher than that in the sulci. Further study revealed that the density of PV interneurons in superficial cortical layers (layers 2/3 and layer 4) was comparable among the three pairs of sulci and gyri. However, the density of parvalbumin-positive interneurons in cortical layers 5/6 was significantly higher in gyri than in sulci. These results indicate that parvalbumin-positive interneurons are differently distributed in infragranular layers of cortical sulci and gyri.
Collapse
|
71
|
Oegema R, Barkovich AJ, Mancini GMS, Guerrini R, Dobyns WB. Subcortical heterotopic gray matter brain malformations: Classification study of 107 individuals. Neurology 2019; 93:e1360-e1373. [PMID: 31484711 PMCID: PMC6814414 DOI: 10.1212/wnl.0000000000008200] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 05/03/2019] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To better evaluate the imaging spectrum of subcortical heterotopic gray matter brain malformations (subcortical heterotopia [SUBH]), we systematically reviewed neuroimaging and clinical data of 107 affected individuals. METHODS SUBH is defined as heterotopic gray matter, located within the white matter between the cortex and lateral ventricles. Four large brain malformation databases were searched for individuals with these malformations; data on imaging, clinical outcomes, and results of molecular testing were systematically reviewed and integrated with all previously published subtypes to create a single classification system. RESULTS Review of the databases revealed 107 patients with SUBH, the large majority scanned during childhood (84%), including more than half before 4 years (59%). Although most individuals had cognitive or motor disability, 19% had normal development. Epilepsy was documented in 69%. Additional brain malformations were common and included abnormalities of the corpus callosum (65/102 [64%]), and, often, brainstem or cerebellum (47/106 [44%]). Extent of the heterotopic gray matter brain malformations (unilateral or bilateral) did not influence the presence or age at onset of seizures. Although genetic testing was not systematically performed in this group, the sporadic occurrence and frequent asymmetry suggests either postzygotic mutations or prenatal disruptive events. Several rare, bilateral forms are caused by mutations in genes associated with cell proliferation and polarity (EML1, TUBB, KATNB1, CENPJ, GPSM2). CONCLUSION This study reveals a broad clinical and imaging spectrum of heterotopic malformations and provides a framework for their classification.
Collapse
Affiliation(s)
- Renske Oegema
- From the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle.
| | - A James Barkovich
- From the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle
| | - Grazia M S Mancini
- From the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle
| | - Renzo Guerrini
- From the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle
| | - William B Dobyns
- From the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle
| |
Collapse
|
72
|
Vasung L, Rezayev A, Yun HJ, Song JW, van der Kouwe A, Stewart N, Palani A, Shiohama T, Chouinard-Decorte F, Levman J, Takahashi E. Structural and Diffusion MRI Analyses With Histological Observations in Patients With Lissencephaly. Front Cell Dev Biol 2019; 7:124. [PMID: 31355197 PMCID: PMC6637974 DOI: 10.3389/fcell.2019.00124] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 06/26/2019] [Indexed: 12/11/2022] Open
Abstract
The development of cortical convolutions, gyri and sulci, is a complex process that takes place during prenatal development. Lissencephaly, a rare genetic condition characterized by the lack of cortical convolutions, offers a model to look into biological processes that lead to the development of convolutions. Retrospective, qualitative, and quantitative analyses of structural magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) were performed in patients with lissencephaly (N = 10) and age-/sex-matched controls (N = 10). In order to identify microstructural correlates of structural MRI and DTI findings, postmortem brains of patients with lissencephaly (N = 4) and age-matched controls (N = 4) were also examined with histology. Patients with lissencephaly had significantly smaller gyrification index and volumes of hemispheric white and gray matter, compared to the age-/sex-matched control group. However, there was no significant difference between groups in the subcortical gray matter volumes. Although the majority of patients with lissencephaly had a preserved normal-like appearance of major fissures and primary sulci, the spatial distribution of agyric cortical regions was different in patients with lissencephaly-1 (LIS1) and doublecortin (DCX) mutations. Lastly, in patients with lissencephaly, the spatiotemporal distribution of projection pathways was preserved while short- to medium-range cortico-cortical pathways were absent or fewer in number. Our results indicate that in the patients with lissencephaly cortical system is affected more than the subcortical one.
Collapse
Affiliation(s)
- Lana Vasung
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston, MA, United States
| | - Arthur Rezayev
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston, MA, United States
| | - Hyuk Jin Yun
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston, MA, United States
| | - Jae W. Song
- Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Natalie Stewart
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston, MA, United States
| | - Arthi Palani
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston, MA, United States
| | - Tadashi Shiohama
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston, MA, United States
- Department of Pediatrics, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Francois Chouinard-Decorte
- Ludmer Centre for Neuroinformatics, McGill Centre for Integrative Neuroscience, Department of Biomedical Engineering, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Jacob Levman
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston, MA, United States
- Department of Mathematics, Statistics, and Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston, MA, United States
| |
Collapse
|
73
|
Phenotypic spectrum associated with a CRADD founder variant underlying frontotemporal predominant pachygyria in the Finnish population. Eur J Hum Genet 2019; 27:1235-1243. [PMID: 30914828 DOI: 10.1038/s41431-019-0383-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 02/13/2019] [Accepted: 03/07/2019] [Indexed: 12/26/2022] Open
Abstract
Intellectual disability (ID), megalencephaly, frontal predominant pachygyria, and seizures, previously called "thin" lissencephaly, are reported to be caused by recessive variants in CRADD. Among five families of different ethnicities identified, one homozygous missense variant, c.509G>A p.(Arg170His), was of Finnish ancestry. Here we report on the phenotypic variability associated for this potential CRADD founder variant in 22 Finnish individuals. Exome sequencing was used to identify candidate genes in Finnish patients presenting with ID. Targeted Sanger sequencing and restriction enzyme analysis were applied to screen for the c.509G>A CRADD variant in cohorts from Finland. Detailed phenotyping and genealogical studies were performed. Twenty two patients were identified with the c.509G>A p.(Arg170His) homozygous variant in CRADD. The majority of the ancestors originated from Northeastern Finland indicating a founder effect. The hallmark of the disease is frontotemporal predominant pachygyria with mild cortical thickening. All patients show ID of variable severity. Aggressive behavior was found in nearly half of the patients, EEG abnormalities in five patients and megalencephaly in three patients. This study provides detailed data about the phenotypic spectrum of patients with lissencephaly due to a CRADD variant that affects function. High inter- and intrafamilial phenotypic heterogeneity was identified in patients with pachygyria caused by the homozygous CRADD founder variant. The phenotype variability suggests that additional genetic and/or environmental factors play a role in the clinical presentation. Since frontotemporal pachygyria is the hallmark of the disease, brain imaging studies are essential to support the molecular diagnosis for individuals with ID and a CRADD variant.
Collapse
|
74
|
Abstract
Mutations causing dysfunction of the tubulins and microtubule-associated proteins, otherwise known as tubulinopathies, are a group of recently described entities, that lead to complex brain malformations. An understanding of the fundamental principles of operation of the cytoskeleton and compounds in particular microtubules, actin, and microtubule-associated proteins, can assist in the interpretation of the imaging findings of tubulinopathies. Somewhat consistent morphological imaging patterns have been described in tubulinopathies such as dysmorphic basal ganglia-the hallmark (found in 75% of cases), callosal dysgenesis, cerebellar hypoplasia/dysplasia, and cortical malformations, most notably lissencephaly. Recognizing the common imaging phenotypes present in tubulinopathies can prove invaluable in directing the genetic workup for a patient with brain malformations.
Collapse
|
75
|
Juric-Sekhar G, Hevner RF. Malformations of Cerebral Cortex Development: Molecules and Mechanisms. ANNUAL REVIEW OF PATHOLOGY 2019; 14:293-318. [PMID: 30677308 PMCID: PMC6938687 DOI: 10.1146/annurev-pathmechdis-012418-012927] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Malformations of cortical development encompass heterogeneous groups of structural brain anomalies associated with complex neurodevelopmental disorders and diverse genetic and nongenetic etiologies. Recent progress in understanding the genetic basis of brain malformations has been driven by extraordinary advances in DNA sequencing technologies. For example, somatic mosaic mutations that activate mammalian target of rapamycin signaling in cortical progenitor cells during development are now recognized as the cause of hemimegalencephaly and some types of focal cortical dysplasia. In addition, research on brain development has begun to reveal the cellular and molecular bases of cortical gyrification and axon pathway formation, providing better understanding of disorders involving these processes. New neuroimaging techniques with improved resolution have enhanced our ability to characterize subtle malformations, such as those associated with intellectual disability and autism. In this review, we broadly discuss cortical malformations and focus on several for which genetic etiologies have elucidated pathogenesis.
Collapse
Affiliation(s)
- Gordana Juric-Sekhar
- Department of Pathology, University of Washington School of Medicine, Seattle, Washington 98195, USA; ,
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Robert F Hevner
- Department of Pathology, University of Washington School of Medicine, Seattle, Washington 98195, USA; ,
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, Washington 98195, USA
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington 98105, USA
- Current affiliation: Department of Pathology, University of California, San Diego, California 92093, USA
| |
Collapse
|
76
|
Scher MS. Fetal neurology: Principles and practice with a life-course perspective. HANDBOOK OF CLINICAL NEUROLOGY 2019; 162:1-29. [PMID: 31324306 DOI: 10.1016/b978-0-444-64029-1.00001-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Clinical service, educational, and research components of a fetal/neonatal neurology program are anchored by the disciplines of developmental origins of health and disease and life-course science as programmatic principles. Prenatal participation provides perspectives on maternal, fetal, and placental contributions to health or disease for fetal and subsequent neonatal neurology consultations. This program also provides an early-life diagnostic perspective for neurologic specialties concerned with brain health and disease throughout childhood and adulthood. Animal models and birth cohort studies have demonstrated how the science of epigenetics helps to understand gene-environment interactions to better predict brain health or disease. Fetal neurology consultations provide important diagnostic contributions during critical or sensitive periods of brain development when future neurotherapeutic interventions will maximize adaptive neuroplasticity. Age-specific normative neuroinformatics databases that employ computer-based strategies to integrate clinical/demographic, neuroimaging, neurophysiologic, and genetic datasets will more accurately identify either symptomatic patients or those at risk for brain disorders who would benefit from preventive, rescue, or reparative treatment choices throughout the life span.
Collapse
Affiliation(s)
- Mark S Scher
- Division of Pediatric Neurology, Case Western Reserve University, Cleveland, OH, United States.
| |
Collapse
|
77
|
Abstract
Disorders of the developing nervous system may be of genetic origin, comprising congenital malformations of spine and brain as well as metabolic or vascular disorders that affect normal brain development. Acquired causes include congenital infections, hypoxic-ischemic or traumatic brain injury, and a number of rare neoplasms. This chapter focuses on the clinical presentation and workup of neurogenetic disorders presenting in the fetal or neonatal period. After a summary of the most frequent clinical presentations, clues from history taking and clinical examination are illustrated with short case reports. This is followed by a discussion of the different tools available for the workup of neurogenetic disorders, including the various genetic techniques with their advantages and disadvantages. The implications of a molecular genetic diagnosis for the patient and family are addressed in the section on counseling. The chapter concludes with a proposed workflow that may help the clinician when confronted with a potential neurogenetic disorder in the fetal or neonatal period.
Collapse
|
78
|
Dobyns WB, Aldinger KA, Ishak GE, Mirzaa GM, Timms AE, Grout ME, Dremmen MH, Schot R, Vandervore L, van Slegtenhorst MA, Wilke M, Kasteleijn E, Lee AS, Barry BJ, Chao KR, Szczałuba K, Kobori J, Hanson-Kahn A, Bernstein JA, Carr L, D’Arco F, Miyana K, Okazaki T, Saito Y, Sasaki M, Das S, Wheeler MM, Bamshad MJ, Nickerson DA, Engle EC, Verheijen FW, Doherty D, Mancini GM, Doherty D, Mancini GMS. MACF1 Mutations Encoding Highly Conserved Zinc-Binding Residues of the GAR Domain Cause Defects in Neuronal Migration and Axon Guidance. Am J Hum Genet 2018; 103:1009-1021. [PMID: 30471716 DOI: 10.1016/j.ajhg.2018.10.019] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 10/22/2018] [Indexed: 01/08/2023] Open
Abstract
To date, mutations in 15 actin- or microtubule-associated genes have been associated with the cortical malformation lissencephaly and variable brainstem hypoplasia. During a multicenter review, we recognized a rare lissencephaly variant with a complex brainstem malformation in three unrelated children. We searched our large brain-malformation databases and found another five children with this malformation (as well as one with a less severe variant), analyzed available whole-exome or -genome sequencing data, and tested ciliogenesis in two affected individuals. The brain malformation comprised posterior predominant lissencephaly and midline crossing defects consisting of absent anterior commissure and a striking W-shaped brainstem malformation caused by small or absent pontine crossing fibers. We discovered heterozygous de novo missense variants or an in-frame deletion involving highly conserved zinc-binding residues within the GAR domain of MACF1 in the first eight subjects. We studied cilium formation and found a higher proportion of mutant cells with short cilia than of control cells with short cilia. A ninth child had similar lissencephaly but only subtle brainstem dysplasia associated with a heterozygous de novo missense variant in the spectrin repeat domain of MACF1. Thus, we report variants of the microtubule-binding GAR domain of MACF1 as the cause of a distinctive and most likely pathognomonic brain malformation. A gain-of-function or dominant-negative mechanism appears likely given that many heterozygous mutations leading to protein truncation are included in the ExAC Browser. However, three de novo variants in MACF1 have been observed in large schizophrenia cohorts.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Dan Doherty
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA; Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA 98101, USA
| | - Grazia M S Mancini
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam 3015 CN, the Netherlands.
| |
Collapse
|
79
|
Di Donato N, Timms AE, Aldinger KA, Mirzaa GM, Bennett JT, Collins S, Olds C, Mei D, Chiari S, Carvill G, Myers CT, Rivière JB, Zaki MS, Gleeson JG, Rump A, Conti V, Parrini E, Ross ME, Ledbetter DH, Guerrini R, Dobyns WB. Analysis of 17 genes detects mutations in 81% of 811 patients with lissencephaly. Genet Med 2018; 20:1354-1364. [PMID: 29671837 PMCID: PMC6195491 DOI: 10.1038/gim.2018.8] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 12/04/2017] [Indexed: 12/20/2022] Open
Abstract
PURPOSE To estimate diagnostic yield and genotype-phenotype correlations in a cohort of 811 patients with lissencephaly or subcortical band heterotopia. METHODS We collected DNA from 756 children with lissencephaly over 30 years. Many were tested for deletion 17p13.3 and mutations of LIS1, DCX, and ARX, but few other genes. Among those tested, 216 remained unsolved and were tested by a targeted panel of 17 genes (ACTB, ACTG1, ARX, CRADD, DCX, LIS1, TUBA1A, TUBA8, TUBB2B, TUBB, TUBB3, TUBG1, KIF2A, KIF5C, DYNC1H1, RELN, and VLDLR) or by whole-exome sequencing. Fifty-five patients studied at another institution were added as a validation cohort. RESULTS The overall mutation frequency in the entire cohort was 81%. LIS1 accounted for 40% of patients, followed by DCX (23%), TUBA1A (5%), and DYNC1H1 (3%). Other genes accounted for 1% or less of patients. Nineteen percent remained unsolved, which suggests that several additional genes remain to be discovered. The majority of unsolved patients had posterior pachygyria, subcortical band heterotopia, or mild frontal pachygyria. CONCLUSION The brain-imaging pattern correlates with mutations in single lissencephaly-associated genes, as well as in biological pathways. We propose the first LIS classification system based on the underlying molecular mechanisms.
Collapse
Affiliation(s)
| | - Andrew E Timms
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Kimberly A Aldinger
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Ghayda M Mirzaa
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - James T Bennett
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Sarah Collins
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Carissa Olds
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Davide Mei
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Neuroscience Excellence Centre, A. Meyer Children's Hospital, University of Florence, Florence, Italy
| | - Sara Chiari
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Neuroscience Excellence Centre, A. Meyer Children's Hospital, University of Florence, Florence, Italy
| | - Gemma Carvill
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Candace T Myers
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Jean-Baptiste Rivière
- Department of Human Genetics, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Maha S Zaki
- Clinical Genetics Department, Human Genetics and Genome Research Division, National Research Centre, Cairo, Egypt
| | - Joseph G Gleeson
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Andreas Rump
- Institute for Clinical Genetics, TU Dresden, Dresden, Germany
| | - Valerio Conti
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Neuroscience Excellence Centre, A. Meyer Children's Hospital, University of Florence, Florence, Italy
| | - Elena Parrini
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Neuroscience Excellence Centre, A. Meyer Children's Hospital, University of Florence, Florence, Italy
| | - M Elizabeth Ross
- Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York, USA
| | | | - Renzo Guerrini
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Neuroscience Excellence Centre, A. Meyer Children's Hospital, University of Florence, Florence, Italy
| | - William B Dobyns
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, USA.
- Department of Pediatrics, University of Washington, Seattle, Washington, USA.
- Department of Neurology, University of Washington, Seattle, Washington, USA.
| |
Collapse
|
80
|
D'Arco F, Alves CA, Raybaud C, Chong WKK, Ishak GE, Ramji S, Grima M, Barkovich AJ, Ganesan V. Expanding the Distinctive Neuroimaging Phenotype of ACTA2 Mutations. AJNR Am J Neuroradiol 2018; 39:2126-2131. [PMID: 30262641 DOI: 10.3174/ajnr.a5823] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 08/16/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND PURPOSE Arg179His mutations in ACTA2 are associated with a distinctive neurovascular phenotype characterized by a straight course of intracranial arteries, absent basal Moyamoya collaterals, dilation of the proximal internal carotid arteries, and occlusive disease of the terminal internal carotid arteries. We now add to the distinctive neuroimaging features in these patients by describing their unique constellation of brain malformative findings that could flag the diagnosis in cases in which targeted cerebrovascular imaging has not been performed. MATERIALS AND METHODS Neuroimaging studies from 13 patients with heterozygous Arg179His mutations in ACTA2 and 1 patient with pathognomonic clinicoradiologic findings for ACTA2 mutation were retrospectively reviewed. The presence and localization of brain malformations and other abnormal brain MR imaging findings are reported. RESULTS Characteristics bending and hypoplasia of the anterior corpus callosum, apparent absence of the anterior gyrus cinguli, and radial frontal gyration were present in 100% of the patients; flattening of the pons on the midline and multiple indentations in the lateral surface of the pons were demonstrated in 93% of the patients; and apparent "squeezing" of the cerebral peduncles in 85% of the patients. CONCLUSIONS Because α-actin is not expressed in the brain parenchyma, only in vascular tissue, we speculate that rather than a true malformative process, these findings represent a deformation of the brain during development related to the mechanical interaction with rigid arteries during the embryogenesis.
Collapse
Affiliation(s)
- F D'Arco
- From the Departments of Radiology (F.D'A., W.K.K.C.)
| | - C A Alves
- Radiology Department (C.A.A.), Hospital Das Clinicas, Sao Paulo, Brazil
| | - C Raybaud
- Department of Diagnostic Imaging (C.R.), Hospital for Sick Children, Toronto, Ontario, Canada
| | - W K K Chong
- From the Departments of Radiology (F.D'A., W.K.K.C.)
| | - G E Ishak
- Department of Radiology (G.E.I.), Seattle Children's Hospital, University of Washington School of Medicine, Seattle, Washington
| | - S Ramji
- Department of Radiology (S.R.), Imperial College Healthcare National Health Service Trust, London, UK
| | - M Grima
- Department of Radiology (M.G.), University Hospital of North Staffordshire National Health Service Trust, Stoke-on-Trent, UK
| | - A J Barkovich
- Department of Radiology and Diagnostic Imaging (A.J.B.), University of California, San Francisco, San Francisco, California
| | - V Ganesan
- Neurology (V.G.), Great Ormond Street Hospital for Children National Health Service Foundation Trust, London, UK
- Neuroscience Unit (V.G.), UCL Great Ormond Street Institute of Child Health, London, UK
| |
Collapse
|
81
|
Ikeda KM, Mirsattari SM. Teaching NeuroImages: Double cortex: Rare diagnosis in adulthood. Neurology 2018; 91:e1724-e1725. [PMID: 30373929 DOI: 10.1212/wnl.0000000000006433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Kristin M Ikeda
- From the Division of Neurology (K.M.I.), Department of Medicine, Dalhousie University, Halifax Infirmary; and Department of Clinical Neurological Sciences (S.M.M.), Western University, London Health Sciences Centre, Canada.
| | - Seyed M Mirsattari
- From the Division of Neurology (K.M.I.), Department of Medicine, Dalhousie University, Halifax Infirmary; and Department of Clinical Neurological Sciences (S.M.M.), Western University, London Health Sciences Centre, Canada
| |
Collapse
|
82
|
Gieldon L, Mackenroth L, Kahlert AK, Lemke JR, Porrmann J, Schallner J, von der Hagen M, Markus S, Weidensee S, Novotna B, Soerensen C, Klink B, Wagner J, Tzschach A, Jahn A, Kuhlee F, Hackmann K, Schrock E, Di Donato N, Rump A. Diagnostic value of partial exome sequencing in developmental disorders. PLoS One 2018; 13:e0201041. [PMID: 30091983 PMCID: PMC6084857 DOI: 10.1371/journal.pone.0201041] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 07/06/2018] [Indexed: 12/15/2022] Open
Abstract
Although intellectual disability is one of the major indications for genetic counselling, there are no homogenous diagnostic algorithms for molecular testing. While whole exome sequencing is increasingly applied, we questioned whether analyzing a partial exome, enriched for genes associated with Mendelian disorders, might be a valid alternative approach that yields similar detection rates but requires less sequencing capacities. Within this context 106 patients with different intellectual disability forms were analyzed for mutations in 4.813 genes after pre-exclusion of copy number variations by array-CGH. Subsequent variant interpretation was performed in accordance with the ACMG guidelines. By this, a molecular diagnosis was established in 34% of cases and candidate mutations were identified in additional 24% of patients. Detection rates of causative mutations were above 30%, regardless of further symptoms, except for patients with seizures (23%). We did not detect an advantage from partial exome sequencing for patients with severe intellectual disability (36%) as compared to those with mild intellectual disability (44%). Specific clinical diagnoses pre-existed for 20 patients. Of these, 5 could be confirmed and an additional 6 cases could be solved, but showed mutations in other genes than initially suspected. In conclusion partial exome sequencing solved >30% of intellectual disability cases, which is similar to published rates obtained by whole exome sequencing. The approach therefore proved to be a valid alternative to whole exome sequencing for molecular diagnostics in this cohort. The method proved equally suitable for both syndromic and non-syndromic intellectual disability forms of all severity grades.
Collapse
Affiliation(s)
- Laura Gieldon
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
- * E-mail:
| | - Luisa Mackenroth
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Anne-Karin Kahlert
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
- Klinik für angeborene Herzfehler und Kinderkardiologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Johannes R. Lemke
- Institut für Humangenetik, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Joseph Porrmann
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Jens Schallner
- Abteilung Neuropädiatrie, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Maja von der Hagen
- Abteilung Neuropädiatrie, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | | | - Sabine Weidensee
- Mitteldeutscher Praxisverbund Humangenetik, Praxis Erfurt, Erfurt, Germany
| | - Barbara Novotna
- Abteilung Neuropädiatrie, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Charlotte Soerensen
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Barbara Klink
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Johannes Wagner
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Andreas Tzschach
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Arne Jahn
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Franziska Kuhlee
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Karl Hackmann
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Evelin Schrock
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Nataliya Di Donato
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| | - Andreas Rump
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Dresden, Technische Universität Dresden, Germany
| |
Collapse
|
83
|
Tan AP, Chong WK, Mankad K. Comprehensive genotype-phenotype correlation in lissencephaly. Quant Imaging Med Surg 2018; 8:673-693. [PMID: 30211035 DOI: 10.21037/qims.2018.08.08] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Malformations of cortical development (MCD) are a heterogenous group of disorders with diverse genotypic and phenotypic variations. Lissencephaly is a subtype of MCD caused by defect in neuronal migration, which occurs between 12 and 24 weeks of gestation. The continuous advancement in the field of molecular genetics in the last decade has led to identification of at least 19 lissencephaly-related genes, most of which are related to microtubule structural proteins (tubulin) or microtubule-associated proteins (MAPs). The aim of this review article is to bring together current knowledge of gene mutations associated with lissencephaly and to provide a comprehensive genotype-phenotype correlation. Illustrative cases will be presented to facilitate the understanding of the described genotype-phenotype correlation.
Collapse
Affiliation(s)
- Ai Peng Tan
- Department of Diagnostic Imaging, National University Health System, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore
| | - Wui Khean Chong
- Department of Neuroradiology, Great Ormond Street Hospital NHS Foundation Trust, London, UK
| | - Kshitij Mankad
- Department of Neuroradiology, Great Ormond Street Hospital NHS Foundation Trust, London, UK
| |
Collapse
|
84
|
Shoukfeh O, Richards AB, Prouty LA, Hinrichsen J, Spencer WR, Langford MP. Case Report of Proliferative Peripheral Retinopathy in Two Familial Lissencephaly Infants with Miller-Dieker Syndrome. J Pediatr Genet 2018; 7:86-91. [PMID: 29707411 DOI: 10.1055/s-0037-1612638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 11/15/2017] [Indexed: 10/18/2022]
Abstract
A complete ophthalmic examination is not routinely performed on infants with Miller-Dieker syndrome (MDS, chromosome 17p13.3 microdeletion). The authors present the cases of four cousins with MDS who also carried a 16p13.3 microduplication (not associated with Rubinstein-Taybi syndrome). Retinopathy of prematurity-like proliferative peripheral retinopathy (PPR) was detected in two male first cousins, but was not detected in the female half-cousins. PPR in the first infant resolved by 4 months, but the second infant's PPR progressed, requiring photocoagulation followed by lens-sparing vitrectomy. While ocular abnormalities are more prevalent and severe in other lissencephalopathies, the PPR in these MDS infants underscores the sight-saving potential of performing an ophthalmologic exam with early molecular testing for all lissencephaly infants.
Collapse
Affiliation(s)
- Omar Shoukfeh
- Department of Ophthalmology, Louisiana State University Health Sciences Center, Shreveport, Louisiana, United States
| | - Alan B Richards
- Department of Ophthalmology, Louisiana State University Health Sciences Center, Shreveport, Louisiana, United States
| | - Leonard A Prouty
- Departments of Pathology and Pediatrics, Louisiana State University Health Sciences Center, Shreveport, Louisiana, United States
| | - John Hinrichsen
- Department of Ophthalmology, Louisiana State University Health Sciences Center, Shreveport, Louisiana, United States
| | | | - Marlyn P Langford
- Department of Ophthalmology, Louisiana State University Health Sciences Center, Shreveport, Louisiana, United States
| |
Collapse
|
85
|
Tubulinopathies continued: refining the phenotypic spectrum associated with variants in TUBG1. Eur J Hum Genet 2018; 26:1132-1142. [PMID: 29706637 PMCID: PMC6057922 DOI: 10.1038/s41431-018-0146-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 03/02/2018] [Accepted: 03/13/2018] [Indexed: 12/30/2022] Open
Abstract
Tubulinopathies are a heterogeneous group of conditions with a wide spectrum of clinical severity resulting from variants in genes of the tubulin superfamily. Variants in TUBG1 have been described in three patients with posterior predominant pachygyria and microcephaly. We here report eight additional patients with four novel heterozygous variants in TUBG1 identified by next-generation sequencing (NGS) analysis. All had severe motor and cognitive impairment and all except one developed seizures in early life. The core imaging features included a pachygyric cortex with posterior to anterior gradient, enlarged lateral ventricles most pronounced over the posterior horns, and variable degrees of reduced white matter volume. Basal ganglia, corpus callosum, brainstem, and cerebellum were often normal, in contrast to patients with variants in other tubulin genes where these structures are frequently malformed. The imaging phenotype associated with variants in TUBG1 is therefore more in line with the phenotype resulting from variants in LIS1 (a.k.a. PAFAH1B1). This difference may, at least in part, be explained by gamma-tubulin’s physiological function in microtubule nucleation, which differs from that of alpha and beta-tubulin.
Collapse
|
86
|
Genetik der kortikalen Fehlbildungen. MED GENET-BERLIN 2018. [DOI: 10.1007/s11825-017-0165-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Zusammenfassung
Kortikale Malformationen sind vielfältig und stellen eine wichtige Ursache der geistigen Entwicklungsstörung und der Epilepsie dar. Die Ätiologie der kortikalen Fehlbildungen ist sehr heterogen und beinhaltet sowohl rein exogene Ursachen als auch chromosomale und monogene Erkrankungen. Eine effiziente genetische Diagnostik bedarf der akkuraten Interpretation des Magnetresonanztomographie(MRT)-Musters. Bei einigen klinischen Formen kann eine zielgerichtete Einzelgendiagnostik erfolgen, die anderen klinischen Entitäten erfordern dagegen eine komplexe Stufendiagnostik und können nur mittels Hochdurchsatzsequenzierung aufgeklärt werden. In diesem Beitrag werden die 4 häufigsten kortikalen Fehlbildungen im Hinblick auf die typischen klinischen Symptome, MRT-Merkmale und den Algorithmus der genetischen Abklärung vorgestellt.
Collapse
|
87
|
Tan AP, Mankad K. A unique case of lissencephaly with Crouzon syndrome heterozygous for FGFR2 mutation. Childs Nerv Syst 2018; 34:23-25. [PMID: 29067506 DOI: 10.1007/s00381-017-3646-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 10/18/2017] [Indexed: 10/18/2022]
Affiliation(s)
- Ai Peng Tan
- National University Health System, 1E Kent Ridge Rd, Singapore, 119228, Singapore.
| | - Kshitij Mankad
- Great Ormond Street Hospital NHS Foundation Trust, Great Ormond St, London, WC1N 3JH, UK
| |
Collapse
|
88
|
Falsaperla R, Marino SD, Marino S, Pavone P. Electroclinical Pattern and Epilepsy Evolution in an Infant with Miller-Dieker Syndrome. J Pediatr Neurosci 2018; 13:302-307. [PMID: 30271461 PMCID: PMC6144613 DOI: 10.4103/jpn.jpn_182_17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Aim of the study: To evaluate the electroclinical course and the correlation Electroencephalographic (EEG) pattern and epileptic seizures in an infant with Miller Dieker Syndrome (MDS) during the first year of life. Materials and Methods: MDS was diagnosed in the infant soon after birth and followed up from six months of life to one year, at the Department of Pediatrics, General Pediatric Operative Unit, Policlinico Vittorio Emanuele, University Hospital, XCatania, Italy, with clinical and serial EEG recording. Results: Aside from severe delay in the developmental milestone, the onset of the seizures was first noticed by the parents at the age of 4 months as brief slow tonic movements; at 6 months as tonic movements of the upper limbs with a slow rotations of the trunk, i.e. “subtle spams”; and at 7 months as typical “infantile spams” and tonic seizures. The EEG recording registered pattern of modified hypsarrhythmia (MH) correlated with “subtle spams” at the age of 6 months and at the age of 7 months the same EEG recording of MH associated to clinical expression of classical Infantile Spams (IS). Conclusions: In this infant, the EEG pattern and epileptic seizures were widely variable ranging clinically from brief anomalous movements to “subtle spams” and to typical infantile spams. At the same time, the EEG recording manifested first with MH and one month later with classical hypsarrhythmia. The EEG recording MH correlated first with clinical expression of subtle spams and the EEG remaining unchanged with the classical clinical expression of infantile spams.
Collapse
Affiliation(s)
- Raffaele Falsaperla
- Pediatric and Pediatric Emergency Department, University Hospital "Policlinico-Vittorio Emanuele," Catania, Italy
| | - Simona Domenica Marino
- Pediatric and Pediatric Emergency Department, University Hospital "Policlinico-Vittorio Emanuele," Catania, Italy
| | - Silvia Marino
- Pediatric and Pediatric Emergency Department, University Hospital "Policlinico-Vittorio Emanuele," Catania, Italy
| | - Piero Pavone
- Pediatric and Pediatric Emergency Department, University Hospital "Policlinico-Vittorio Emanuele," Catania, Italy
| |
Collapse
|