Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

Karolinska Schizophrenia Project (KaSP)

doi:10.1002/hbm.25364

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

Karolinska Schizophrenia Project (KaSP)

MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom; The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America; The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America; The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America; The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Neuroimaging Department
Psychology and Neuroscience
King's College London
Univ London, Birkbeck University London, University College London, University of London Royal Veterinary College, University of London, St Georges University London, Imperial College London, Kings College London, Royal Holloway University London, Queen Mary University London, Div Populat Hlth Sci & Educ
UCLA Semel Institute for Neuroscience and Human Behavior
University of Oslo
Department of Neurology, Donders Institute for Brain, Behavior and Cognition, Radboud University Medical Centre, Nijmegen, the Netherlands; Neurology, Amsterdam University Medical Center, Location Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Bournemouth University Clinical Research Unit, Faculty of Health and Social Services, Bournemouth University, R506B, Royal London House, Christchurch Road, Bournemouth, Dorset BH1 3LT
FIDMAG Germanes Hospitalàries Research Foundation
Radiologics
1] Lund University Diabetes Center, Skåne University Hospital, Malmö, Sweden. [2] Umeå University, Umeå, Sweden.
University of Iowa
Social Genetic and Developmental Psychiatry Centre
Heidelberg University
27 Hospital Clinic of Barcelona, Clinic Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain.
University of Würzburg, Comprehensive Cancer Center Mainfranken, Würzburg, Germany.
Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Germany; Department of Education, Psychology, and Communication, University of Bari "Aldo Moro," Bari, Italy.
Department of Biological Psychology
Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany.
Center for Systems Genomics, Pennsylvania State University, University Park, Pennsylvania, USA.
Indiana University Bloomington
Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia; Department of Neuroscience and Physiology, State University of New York Upstate Medical University, Syracuse, New York.
University Medical Center Utrecht Brain Center, Utrecht University
Radboud University Nijmegen
Instituto de Radiologia, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
Harvard University
Emory University Hospital
Departments of Medicine and Microbiology, APC Microbiome Ireland, National University of Ireland, Cork, Ireland.
Cardiff University
3Columbia University, New York State Psychiatric Institute, New York City, New York USA.
Karolinska Institute
1] Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California, USA. [2] Department of Urology, University of Southern California, Los Angeles, California, USA.
KU Leuven
University of New Mexico
Department of Psychiatry, Institute of Clinical Medicine, University of Oulu, Oulu, Finland; Department of Psychiatry, Oulu University Hospital, Oulu, Finland.
Department of Gynecology and Obstetrics, University Hospital Tübingen, Tübingen, Germany.
Mental Health Research Networking Center (CIBERSAM)
University of Bordeaux
Norwegian Centre for Mental Disorders Research, K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, Oslo University Hospital, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.
Department of Clinical Neurophysiology, King's College Hospital, London, UK; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Stress Res Clin, Solna
Cardiovascular Program, Research Institute of Sant Joan de Déu (IRSJD), Barcelona, Spain; Center for Biomedical Diagnosis, Hospital Clinic de Barcelona, Universitat de Barcelona, Spain. Institut d'Investigació August Pi i Sunyer (IDIBAPS). Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona (Spain). Medical Science Department, School of Medicine, University of Girona, Girona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Univ Barcelona, Hospital Clinic de Barcelona, IDIBAPS, University of Barcelona, IDIBAPS, Div Hematol, Inst Hematol & Oncol
Department of Psychosis Studies
Centre for Population Neuroscience and Precision Medicine
Centre for Pain Research, University of Bath, Department of Experimental Psychology, University of Oxford, Department of Anaesthesiology & Pain Medicine, University of Washington, Clinical Health Psychology, University College London, and University College London Hospitals, and Psychology Department, Kings College London.
School of Education, Faculty of Arts and Social Sciences, UNSW Australia, Sydney NSW 2052, Australia.
Univ Greenwich, City University London, University of Greenwich, Sch Engn

Research output: Contribution to journal › Article › peer-review

125 Citations (Scopus)

Abstract

Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.

Original language	English
Number of pages	21
Journal	Human Brain Mapping
Volume	43
Issue number	1
DOIs	https://doi.org/10.1002/hbm.25364
Publication status	E-pub ahead of print - 17 Feb 2021

Access to Document

10.1002/hbm.25364

Cite this

@article{ae95e8372cbd4918b647e80d1832c380,

title = "Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years",

abstract = "Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.",

author = "{Karolinska Schizophrenia Project (KaSP)} and Sophia Frangou and Amirhossein Modabbernia and Williams, {Steven C R} and Efstathios Papachristou and Doucet, {Gaelle E} and Ingrid Agartz and Moji Aghajani and Akudjedu, {Theophilus N} and Anton Albajes-Eizagirre and Dag Alnaes and Alpert, {Kathryn I} and Micael Andersson and Andreasen, {Nancy C} and Andreassen, {Ole A} and Philip Asherson and Tobias Banaschewski and Nuria Bargallo and Sarah Baumeister and Ramona Baur-Streubel and Alessandro Bertolino and Aurora Bonvino and Boomsma, {Dorret I} and Stefan Borgwardt and Josiane Bourque and Daniel Brandeis and Alan Breier and Henry Brodaty and Brouwer, {Rachel M} and Buitelaar, {Jan K} and Busatto, {Geraldo F} and Buckner, {Randy L} and Vincent Calhoun and Canales-Rodr{\'i}guez, {Erick J} and Cannon, {Dara M} and Xavier Caseras and Castellanos, {Francisco X} and Simon Cervenka and Chaim-Avancini, {Tiffany M} and Ching, {Christopher R K} and Victoria Chubar and Clark, {Vincent P} and Patricia Conrod and Annette Conzelmann and Benedicto Crespo-Facorro and Fabrice Crivello and Jonna Kuntsi and Yannis Paloyelis and Joaquim Radua and Gunter Schumann and Danai Dima",

note = "Funding Information: Hans J{\"o}rgen Grabe: Travel grants and speaker honoraria from Fresenius Medical Care, Neuraxpharm, Servier and Janssen Cilag; reseach funding from Fresenius Medical Care. Ole A Andreasen: Consultant to HealthLytix, speaker honorarium from Lundbeck. Anders M Dale: Founder and member of the Scientific Advisory Board CorTechs Labs, Inc where he holds equity; member of the Scientific Advisory of Human Longevity Inc; research grants with General Electric Healthcare. Publisher Copyright: {\textcopyright} 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.",

year = "2021",

month = feb,

day = "17",

doi = "10.1002/hbm.25364",

language = "English",

volume = "43",

journal = "Human Brain Mapping",

issn = "1065-9471",

publisher = "Wiley-Liss Inc.",

number = "1",

}

TY - JOUR

T1 - Cortical thickness across the lifespan

T2 - Data from 17,075 healthy individuals aged 3-90 years

AU - Karolinska Schizophrenia Project (KaSP)

AU - Frangou, Sophia

AU - Modabbernia, Amirhossein

AU - Williams, Steven C R

AU - Papachristou, Efstathios

AU - Doucet, Gaelle E

AU - Agartz, Ingrid

AU - Aghajani, Moji

AU - Akudjedu, Theophilus N

AU - Albajes-Eizagirre, Anton

AU - Alnaes, Dag

AU - Alpert, Kathryn I

AU - Andersson, Micael

AU - Andreasen, Nancy C

AU - Andreassen, Ole A

AU - Asherson, Philip

AU - Banaschewski, Tobias

AU - Bargallo, Nuria

AU - Baumeister, Sarah

AU - Baur-Streubel, Ramona

AU - Bertolino, Alessandro

AU - Bonvino, Aurora

AU - Boomsma, Dorret I

AU - Borgwardt, Stefan

AU - Bourque, Josiane

AU - Brandeis, Daniel

AU - Breier, Alan

AU - Brodaty, Henry

AU - Brouwer, Rachel M

AU - Buitelaar, Jan K

AU - Busatto, Geraldo F

AU - Buckner, Randy L

AU - Calhoun, Vincent

AU - Canales-Rodríguez, Erick J

AU - Cannon, Dara M

AU - Caseras, Xavier

AU - Castellanos, Francisco X

AU - Cervenka, Simon

AU - Chaim-Avancini, Tiffany M

AU - Ching, Christopher R K

AU - Chubar, Victoria

AU - Clark, Vincent P

AU - Conrod, Patricia

AU - Conzelmann, Annette

AU - Crespo-Facorro, Benedicto

AU - Crivello, Fabrice

AU - Kuntsi, Jonna

AU - Paloyelis, Yannis

AU - Radua, Joaquim

AU - Schumann, Gunter

AU - Dima, Danai

N1 - Funding Information: Hans Jörgen Grabe: Travel grants and speaker honoraria from Fresenius Medical Care, Neuraxpharm, Servier and Janssen Cilag; reseach funding from Fresenius Medical Care. Ole A Andreasen: Consultant to HealthLytix, speaker honorarium from Lundbeck. Anders M Dale: Founder and member of the Scientific Advisory Board CorTechs Labs, Inc where he holds equity; member of the Scientific Advisory of Human Longevity Inc; research grants with General Electric Healthcare. Publisher Copyright: © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

PY - 2021/2/17

Y1 - 2021/2/17

N2 - Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.

AB - Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.

UR - http://www.scopus.com/inward/record.url?scp=85101007703&partnerID=8YFLogxK

U2 - 10.1002/hbm.25364

DO - 10.1002/hbm.25364

M3 - Article

C2 - 33595143

SN - 1065-9471

VL - 43

JO - Human Brain Mapping

JF - Human Brain Mapping

IS - 1

ER -

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

Abstract

Access to Document

Other files and links

Fingerprint

Cite this