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Koerner S, Staginnus M, Cornwell H, Smaragdi A, González-Madruga K, Pauli R, Rogers JC, Gao Y, Chester S, Townend S, Bernhard A, Martinelli A, Kohls G, Raschle NM, Konrad K, Stadler C, Freitag CM, De Brito SA, Fairchild G. Does the Relationship between Age and Brain Structure Differ in Youth with Conduct Disorder? Res Child Adolesc Psychopathol 2024; 52:1135-1146. [PMID: 38557727 PMCID: PMC11217071 DOI: 10.1007/s10802-024-01178-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2024] [Indexed: 04/04/2024]
Abstract
Conduct disorder (CD) is characterised by persistent antisocial and aggressive behaviour and typically emerges in childhood or adolescence. Although several authors have proposed that CD is a neurodevelopmental disorder, very little evidence is available about brain development in this condition. Structural brain alterations have been observed in CD, and some indirect evidence for delayed brain maturation has been reported. However, no detailed analysis of age-related changes in brain structure in youth with CD has been conducted. Using cross-sectional MRI data, this study aimed to explore differences in brain maturation in youth with CD versus healthy controls to provide further understanding of the neurodevelopmental processes underlying CD. 291 CD cases (153 males) and 379 healthy controls (160 males) aged 9-18 years (Mage = 14.4) were selected from the European multisite FemNAT-CD study. Structural MRI scans were analysed using surface-based morphometry followed by application of the ENIGMA quality control protocols. An atlas-based approach was used to investigate group differences and test for group-by-age and group-by-age-by-sex interactions in cortical thickness, surface area and subcortical volumes. Relative to healthy controls, the CD group showed lower surface area across frontal, temporal and parietal regions as well as lower total surface area. No significant group-by-age or group-by-age-by-sex interactions were observed on any brain structure measure. These findings suggest that CD is associated with lower surface area across multiple cortical regions, but do not support the idea that CD is associated with delayed brain maturation, at least within the age bracket considered here.
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Affiliation(s)
- Sarah Koerner
- Department of Psychology, University of Bath, Bath, UK
| | | | | | | | | | - Ruth Pauli
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Jack C Rogers
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Yidian Gao
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Sally Chester
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | | | - Anka Bernhard
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt Am Main, Germany
| | - Anne Martinelli
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt Am Main, Germany
- School of Psychology, Fresenius University of Applied Sciences, Frankfurt, Germany
| | - Gregor Kohls
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, RWTH Aachen, Aachen, Germany
- Department of Child and Adolescent Psychiatry, Medical Faculty, TU Dresden, Dresden, Germany
| | - Nora Maria Raschle
- Jacobs Center for Productive Youth Development at the University of Zurich, Zurich, Switzerland
- Neuroscience Centre Zurich (ZNZ), University and ETH Zurich, Zurich, Switzerland
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, RWTH Aachen, Aachen, Germany
- JARA- Brain Institute II, Molecular Neuroscience and Neuroimaging, RWTH Aachen and Research Centre Juelich, Juelich, Germany
| | - Christina Stadler
- Department of Child and Adolescent Psychiatry, Psychiatric University Hospital, University of Basel, Basel, Switzerland
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt Am Main, Germany
| | - Stephane A De Brito
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
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Crone EA, Bol T, Braams BR, de Rooij M, Franke B, Franken I, Gazzola V, Güroğlu B, Huizenga H, Hulshoff Pol H, Keijsers L, Keysers C, Krabbendam L, Jansen L, Popma A, Stulp G, van Atteveldt N, van Duijvenvoorde A, Veenstra R. Growing Up Together in Society (GUTS): A team science effort to predict societal trajectories in adolescence and young adulthood. Dev Cogn Neurosci 2024; 67:101403. [PMID: 38852381 PMCID: PMC11214182 DOI: 10.1016/j.dcn.2024.101403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 05/09/2024] [Accepted: 06/04/2024] [Indexed: 06/11/2024] Open
Abstract
Our society faces a great diversity of opportunities for youth. The 10-year Growing Up Together in Society (GUTS) program has the long-term goal to understand which combination of measures best predict societal trajectories, such as school success, mental health, well-being, and developing a sense of belonging in society. Our leading hypothesis is that self-regulation is key to how adolescents successfully navigate the demands of contemporary society. We aim to test these questions using socio-economic, questionnaire (including experience sampling methods), behavioral, brain (fMRI, sMRI, EEG), hormonal, and genetic measures in four large cohorts including adolescents and young adults. Two cohorts are designed as test and replication cohorts to test the developmental trajectory of self-regulation, including adolescents of different socioeconomic status thereby bridging individual, family, and societal perspectives. The third cohort consists of an entire social network to examine how neural and self-regulatory development influences and is influenced by whom adolescents and young adults choose to interact with. The fourth cohort includes youth with early signs of antisocial and delinquent behavior to understand patterns of societal development in individuals at the extreme ends of self-regulation and societal participation, and examines pathways into and out of delinquency. We will complement the newly collected cohorts with data from existing large-scale population-based and case-control cohorts. The study is embedded in a transdisciplinary approach that engages stakeholders throughout the design stage, with a strong focus on citizen science and youth participation in study design, data collection, and interpretation of results, to ensure optimal translation to youth in society.
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Affiliation(s)
- Eveline A Crone
- Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, the Netherlands; Leiden University, Institute of Psychology, the Netherlands.
| | - Thijs Bol
- Department of Sociology, University of Amsterdam, the Netherlands
| | - Barbara R Braams
- Department of Clinical, Neuro, and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, the Netherlands
| | - Mark de Rooij
- Leiden University, Institute of Psychology, the Netherlands
| | - Barbara Franke
- Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Departments of Cognitive Neuroscience and Human Genetics, Nijmegen, the Netherlands
| | - Ingmar Franken
- Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, the Netherlands
| | - Valeria Gazzola
- Social Brain Lab, Netherlands Institute for Neuroscience (KNAW) and University of Amsterdam, Amsterdam, the Netherlands
| | - Berna Güroğlu
- Leiden University, Institute of Psychology, the Netherlands
| | - Hilde Huizenga
- Department of Psychology, University of Amsterdam, the Netherlands
| | | | - Loes Keijsers
- Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, the Netherlands
| | - Christian Keysers
- Social Brain Lab, Netherlands Institute for Neuroscience (KNAW) and University of Amsterdam, Amsterdam, the Netherlands
| | - Lydia Krabbendam
- Department of Clinical, Neuro, and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, the Netherlands
| | - Lucres Jansen
- Department of Child and Adolescent Psychiatry & Psychosocial Care, AmsterdamUMC and Research Institute Amsterdam Public Health, Amsterdam, the Netherlands
| | - Arne Popma
- Department of Child and Adolescent Psychiatry & Psychosocial Care, AmsterdamUMC and Research Institute Amsterdam Public Health, Amsterdam, the Netherlands
| | - Gert Stulp
- University of Groningen, Department of Sociology / Inter-University Center for Social Science Theory and Methodology, Groningen, the Netherlands
| | - Nienke van Atteveldt
- Department of Clinical, Neuro, and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, the Netherlands
| | | | - René Veenstra
- University of Groningen, Department of Sociology / Inter-University Center for Social Science Theory and Methodology, Groningen, the Netherlands
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3
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Lee Y, Chahal R, Gotlib IH. The default mode network is associated with changes in internalizing and externalizing problems differently in adolescent boys and girls. Dev Psychopathol 2024; 36:834-843. [PMID: 36847268 DOI: 10.1017/s0954579423000111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Internalizing and externalizing problems that emerge during adolescence differentially increase boys' and girls' risk for developing psychiatric disorders. It is not clear, however, whether there are sex differences in the intrinsic functional architecture of the brain that underlie changes in the severity of internalizing and externalizing problems in adolescents. Using resting-state fMRI data and self-reports of behavioral problems obtained from 128 adolescents (73 females; 9-14 years old) at two timepoints, we conducted multivoxel pattern analysis to identify resting-state functional connectivity markers at baseline that predict changes in the severity of internalizing and externalizing problems in boys and girls 2 years later. We found sex-differentiated involvement of the default mode network in changes in internalizing and externalizing problems. Whereas changes in internalizing problems were associated with the dorsal medial subsystem in boys and with the medial temporal subsystem in girls, changes in externalizing problems were predicted by hyperconnectivity between core nodes of the DMN and frontoparietal network in boys and hypoconnectivity between the DMN and affective networks in girls. Our results suggest that different neural mechanisms predict changes in internalizing and externalizing problems in adolescent boys and girls and offer insights concerning mechanisms that underlie sex differences in the expression of psychopathology in adolescence.
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Affiliation(s)
- Yoonji Lee
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Rajpreet Chahal
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
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Kuang N, Liu Z, Yu G, Wu X, Becker B, Fan H, Peng S, Zhang K, Zhao J, Kang J, Dong G, Zhao X, Sahakian BJ, Robbins TW, Cheng W, Feng J, Schumann G, Palaniyappan L, Zhang J. Neurodevelopmental risk and adaptation as a model for comorbidity among internalizing and externalizing disorders: genomics and cell-specific expression enriched morphometric study. BMC Med 2023; 21:291. [PMID: 37542243 PMCID: PMC10403847 DOI: 10.1186/s12916-023-02920-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 06/01/2023] [Indexed: 08/06/2023] Open
Abstract
BACKGROUND Comorbidity is the rule rather than the exception for childhood and adolescent onset mental disorders, but we cannot predict its occurrence and do not know the neural mechanisms underlying comorbidity. We investigate if the effects of comorbid internalizing and externalizing disorders on anatomical differences represent a simple aggregate of the effects on each disorder and if these comorbidity-associated cortical surface differences relate to a distinct genetic underpinning. METHODS We studied the cortical surface area (SA) and thickness (CT) of 11,878 preadolescents (9-10 years) from the Adolescent Brain and Cognitive Development Study. Linear mixed models were implemented in comparative and association analyses among internalizing (dysthymia, major depressive disorder, disruptive mood dysregulation disorder, agoraphobia, panic disorder, specific phobia, separation anxiety disorder, social anxiety disorder, generalized anxiety disorder, post-traumatic stress disorder), externalizing (attention-deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder) diagnostic groups, a group with comorbidity of the two and a healthy control group. Genome-wide association analysis (GWAS) and cell type specificity analysis were performed on 4468 unrelated European participants from this cohort. RESULTS Smaller cortical surface area but higher thickness was noted across patient groups when compared to controls. Children with comorbid internalizing and externalizing disorders had more pronounced areal reduction than those without comorbidity, indicating an additive burden. In contrast, cortical thickness had a non-linear effect with comorbidity: the comorbid group had no significant CT differences, while those patient groups without comorbidity had significantly higher thickness compare to healthy controls. Distinct biological pathways were implicated in regional SA and CT differences. Specifically, CT differences were associated with immune-related processes implicating astrocytes and oligodendrocytes, while SA-related differences related mainly to inhibitory neurons. CONCLUSION The emergence of comorbidity across distinct clusters of psychopathology is unlikely to be due to a simple additive neurobiological effect alone. Distinct developmental risk moderated by immune-related adaptation processes, with unique genetic and cell-specific factors, may contribute to underlying SA and CT differences. Children with the highest risk but lowest resilience, both captured in their developmental morphometry, may develop a comorbid illness pattern.
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Affiliation(s)
- Nanyu Kuang
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China
| | - Zhaowen Liu
- School of Computer Science, Northwestern Polytechnical University, Xi'an, Shanxin, People's Republic of China
| | - Gechang Yu
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China
| | - Xinran Wu
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China
| | - Benjamin Becker
- Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Huaxin Fan
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China
| | - Songjun Peng
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China
| | - Kai Zhang
- Institute of Computer Science and Technology, East China Normal University, Shanghai, People's Republic of China
| | - Jiajia Zhao
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China
| | - Jujiao Kang
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Shanghai Center for Mathematical Sciences, Fudan University, Shanghai, People's Republic of China
| | - Guiying Dong
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, People's Republic of China
| | - Xingming Zhao
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, People's Republic of China
- Zhangjiang Fudan International Innovation Center, Shanghai, 200433, People's Republic of China
| | - Barbara J Sahakian
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Trevor W Robbins
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Wei Cheng
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Jinhua, 321004, China
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, Shanghai, 200032, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China
- Shanghai Center for Mathematical Sciences, Shanghai, 200433, People's Republic of China
- Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK
- Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, 200433, People's Republic of China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Jinhua, People's Republic of China
| | - Gunter Schumann
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.
- PONS Research Group, Department of Psychiatry and 20 Psychotherapy, Humboldt University, Berlin and Leibniz Institute for Neurobiology, Campus Charite Mitte, Magdeburg, Germany.
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
- Robarts Research Institute, University of Western Ontario, London, ON, Canada.
- Department of Medical Biophysica, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Jie Zhang
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Ministry of Education, Fudan University, Beijing, People's Republic of China.
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5
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Zhang R, Manza P, Volkow ND. Prenatal caffeine exposure: association with neurodevelopmental outcomes in 9- to 11-year-old children. J Child Psychol Psychiatry 2022; 63:563-578. [PMID: 34318489 PMCID: PMC9291501 DOI: 10.1111/jcpp.13495] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/18/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Despite the widespread use of caffeine including consumption during pregnancy, the effect of prenatal caffeine exposure on child brain development and behavior is unclear. METHODS To address this, we used data from the Adolescent Brain and Cognitive Development Study (n = 11,875 children aged 9-11 years from 22 sites across the United States). We explored the associations between prenatal caffeine exposure and various developmental outcomes including birth outcomes, physical health, behavior problems, cognition, substance use and brain structure in children, and evaluated dose effects. RESULTS Among 9,978 children (4,745 females) who had valid data for prenatal caffeine exposure and whose mothers did not use drugs of abuse after knowing of pregnancy, 4,170 (41.79%) had no prenatal caffeine exposure, 2,292 (22.97%) had daily, 1,933 (19.37%) had weekly, and 1,583 (15.86%) had less than weekly exposures. Prenatal caffeine exposure including the widely recommended 'safe' dose was associated with greater externalizing problems, whereas greater BMI and soda consumption were only observed in children with high dose exposures (3+ per day). Notably, the effect size for association of externalizing problems with prenatal caffeine exposure was comparable with that reported for prenatal alcohol (The American Journal of Psychiatry, 177, 2020 and 1060) and prenatal cannabis (JAMA Psychiatry, 78, 2020 and 64) exposures from previous ABCD publications. Additionally, prenatal caffeine exposure was associated with brain structural changes that included greater posterior and lower frontal cortical thickness and altered parietooccipital sulcal depth. CONCLUSIONS The recommended 'safe' dose of caffeine during pregnancy should be carefully studied to assess whether the behavioral and brain correlates observed here are clinically relevant and determine whether it needs adjustment. Because of the high prevalence of caffeine use in the general population, studies on prenatal exposure to drugs of abuse should include prenatal caffeine use as a covariate.
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Affiliation(s)
- Rui Zhang
- Laboratory of NeuroimagingNational Institute on Alcohol Abuse and AlcoholismNational Institutes of HealthBethesdaMDUSA
| | - Peter Manza
- Laboratory of NeuroimagingNational Institute on Alcohol Abuse and AlcoholismNational Institutes of HealthBethesdaMDUSA
| | - Nora D. Volkow
- Laboratory of NeuroimagingNational Institute on Alcohol Abuse and AlcoholismNational Institutes of HealthBethesdaMDUSA,National Institute on Drug AbuseNational Institutes of HealthBethesdaMDUSA
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6
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Teeuw J, Klein M, Mota NR, Brouwer RM, van ‘t Ent D, Al-Hassaan Z, Franke B, Boomsma DI, Hulshoff Pol HE. Multivariate Genetic Structure of Externalizing Behavior and Structural Brain Development in a Longitudinal Adolescent Twin Sample. Int J Mol Sci 2022; 23:ijms23063176. [PMID: 35328598 PMCID: PMC8949114 DOI: 10.3390/ijms23063176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/10/2022] [Accepted: 03/10/2022] [Indexed: 12/10/2022] Open
Abstract
Externalizing behavior in its more extreme form is often considered a problem to the individual, their families, teachers, and society as a whole. Several brain structures have been linked to externalizing behavior and such associations may arise if the (co)development of externalizing behavior and brain structures share the same genetic and/or environmental factor(s). We assessed externalizing behavior with the Child Behavior Checklist and Youth Self Report, and the brain volumes and white matter integrity (fractional anisotropy [FA] and mean diffusivity [MD]) with magnetic resonance imaging in the BrainSCALE cohort, which consisted of twins and their older siblings from 112 families measured longitudinally at ages 10, 13, and 18 years for the twins. Genetic covariance modeling based on the classical twin design, extended to also include siblings of twins, showed that genes influence externalizing behavior and changes therein (h2 up to 88%). More pronounced externalizing behavior was associated with higher FA (observed correlation rph up to +0.20) and lower MD (rph up to −0.20), with sizeable genetic correlations (FA ra up to +0.42; MD ra up to −0.33). The cortical gray matter (CGM; rph up to −0.20) and cerebral white matter (CWM; rph up to +0.20) volume were phenotypically but not genetically associated with externalizing behavior. These results suggest a potential mediating role for global brain structures in the display of externalizing behavior during adolescence that are both partially explained by the influence of the same genetic factor.
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Affiliation(s)
- Jalmar Teeuw
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (R.M.B.); (Z.A.-H.); (H.E.H.P.)
- Correspondence: ; Tel.: +31-(088)-75-53-387
| | - Marieke Klein
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA;
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (N.R.M.); (B.F.)
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
| | - Nina Roth Mota
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (N.R.M.); (B.F.)
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
| | - Rachel M. Brouwer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (R.M.B.); (Z.A.-H.); (H.E.H.P.)
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Dennis van ‘t Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (D.v.‘t.E.); (D.I.B.)
| | - Zyneb Al-Hassaan
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (R.M.B.); (Z.A.-H.); (H.E.H.P.)
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (N.R.M.); (B.F.)
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (D.v.‘t.E.); (D.I.B.)
- Amsterdam Public Health (APH) Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (R.M.B.); (Z.A.-H.); (H.E.H.P.)
- Department of Psychology, Utrecht University, 3584 CS Utrecht, The Netherlands
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7
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Zanolie K, Ma I, Bos MGN, Schreuders E, Vandenbroucke ARE, van Hoorn J, van Duijvenvoorde ACK, Wierenga L, Crone EA, Güroğlu B. Understanding the Dynamics of the Developing Adolescent Brain Through Team Science. Front Integr Neurosci 2022; 16:827097. [PMID: 35273482 PMCID: PMC8902218 DOI: 10.3389/fnint.2022.827097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 01/31/2022] [Indexed: 11/13/2022] Open
Abstract
One of the major goals for research on adolescent development is to identify the optimal conditions for adolescents to grow up in a complex social world and to understand individual differences in these trajectories. Based on influential theoretical and empirical work in this field, achieving this goal requires a detailed understanding of the social context in which neural and behavioral development takes place, along with longitudinal measurements at multiple levels (e.g., genetic, hormonal, neural, behavioral). In this perspectives article, we highlight the promising role of team science in achieving this goal. To illustrate our point, we describe meso (peer relations) and micro (social learning) approaches to understand social development in adolescence as crucial aspects of adolescent mental health. Finally, we provide an overview of how our team has extended our collaborations beyond scientific partners to multiple societal partners for the purpose of informing and including policymakers, education and health professionals, as well as adolescents themselves when conducting and communicating research.
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Affiliation(s)
- Kiki Zanolie
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
- *Correspondence: Kiki Zanolie
| | - Ili Ma
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
| | - Marieke G. N. Bos
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
| | - Elisabeth Schreuders
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
| | - Annelinde R. E. Vandenbroucke
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
| | - Jorien van Hoorn
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
| | - Anna C. K. van Duijvenvoorde
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
| | - Lara Wierenga
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
| | - Eveline A. Crone
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, Rotterdam, Netherlands
| | - Berna Güroğlu
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, Netherlands
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Blok E, Geenjaar EPT, Geenjaar EAW, Calhoun VD, White T. Neurodevelopmental Trajectories in Children With Internalizing, Externalizing and Emotion Dysregulation Symptoms. Front Psychiatry 2022; 13:846201. [PMID: 35370828 PMCID: PMC8974911 DOI: 10.3389/fpsyt.2022.846201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/03/2022] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Childhood and adolescence are crucial periods for brain and behavioral development. However, it is not yet clear how and when deviations from typical brain development are related to broad domains of psychopathology. METHODS Using three waves of neuroimaging data within the population-based Generation R Study sample, spanning a total age range of 6-16 years, we applied normative modeling to establish typical development curves for (sub-)cortical volume in 37 brain regions, and cortical thickness in 32 brain regions. Z-scores representing deviations from typical development were extracted and related to internalizing, externalizing and dysregulation profile (DP) symptoms. RESULTS Normative modeling showed regional differences in developmental trajectories. Psychopathology symptoms were related to negative deviations from typical development for cortical volume in widespread regions of the cortex and subcortex, and to positive deviations from typical development for cortical thickness in the orbitofrontal, frontal pole, pericalcarine and posterior cingulate regions of the cortex. DISCUSSION Taken together, this study charts developmental curves across the cerebrum for (sub-)cortical volume and cortical thickness. Our findings show that psychopathology symptoms, are associated with widespread differences in brain development, in which those with DP symptoms are most heavily affected.
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Affiliation(s)
- Elisabet Blok
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Childrens Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands.,The Generation R Study Group, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Eloy P T Geenjaar
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.,Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, United States
| | - Eloïse A W Geenjaar
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Childrens Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Vince D Calhoun
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.,Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, United States
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Childrens Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, Netherlands
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9
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Wolf RC, Kubera KM, Waddington JL, Schmitgen MM, Fritze S, Rashidi M, Thieme CE, Sambataro F, Geiger LS, Tost H, Hirjak D. A neurodevelopmental signature of parkinsonism in schizophrenia. Schizophr Res 2021; 231:54-60. [PMID: 33770626 DOI: 10.1016/j.schres.2021.03.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/03/2021] [Accepted: 03/08/2021] [Indexed: 12/26/2022]
Abstract
While sensorimotor abnormalities in schizophrenia (SZ) are of increasing scientific interest, little is known about structural changes and their developmental origins that may underlie parkinsonism. This multimodal magnetic resonance imaging (MRI) study examined healthy controls (HC, n = 20) and SZ patients with (SZ-P, n = 38) and without (SZ-nonP, n = 35) parkinsonism, as defined by Simpson-Angus Scale total scores of ≥4 or ≤1, respectively. Using the Computational Anatomy Toolbox (CAT12), voxel- and surface-based morphometry were applied to investigate cortical and subcortical gray matter volume (GMV) and three cortical surface markers of distinct neurodevelopmental origin: cortical thickness (CTh), complexity of cortical folding (CCF) and sulcus depth. In a subgroup of patients (29 SZ-nonP, 25 SZ-P), resting-state fMRI data were also analyzed using a regions-of-interest approach based on fractional amplitude of low frequency fluctuations (fALFF). SZ-P patients showed increased CCF in the left supplementary motor cortex (SMC) and decreased left postcentral sulcus (PCS) depth compared to SZ-nonP patients (p < 0.05, FWE-corrected at cluster level). In SMC, CCF was associated negatively with activity, which also differed significantly between the patient groups and between patients and HC. In regression models, severity of parkinsonism was associated negatively with left middle frontal CCF and left anterior cingulate CTh. These data provide novel insights into altered trajectories of cortical development in SZ patients with parkinsonism. These cortical surface changes involve the sensorimotor system, suggesting abnormal neurodevelopmental processes tightly coupled with cortical activity and subcortical morphology that convey increased risk for sensorimotor abnormalities in SZ.
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Affiliation(s)
- Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany.
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - John L Waddington
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Mahmoud Rashidi
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Cristina E Thieme
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Lena S Geiger
- Department of Psychiatry and Psychotherapy, Research Group System Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Heike Tost
- Department of Psychiatry and Psychotherapy, Research Group System Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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10
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Hong SJ, Sisk LM, Caballero C, Mekhanik A, Roy AK, Milham MP, Gee DG. Decomposing complex links between the childhood environment and brain structure in school-aged youth. Dev Cogn Neurosci 2021; 48:100919. [PMID: 33556882 PMCID: PMC7868609 DOI: 10.1016/j.dcn.2021.100919] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 10/26/2020] [Accepted: 01/18/2021] [Indexed: 12/22/2022] Open
Abstract
Childhood experiences play a profound role in conferring risk and resilience for brain and behavioral development. However, how different facets of the environment shape neurodevelopment remains largely unknown. Here we sought to decompose heterogeneous relationships between environmental factors and brain structure in 989 school-aged children from the Adolescent Brain Cognitive Development Study. We applied a cross-modal integration and clustering approach called 'Similarity Network Fusion', which combined two brain morphometrics (i.e., cortical thickness and myelin-surrogate markers), and key environmental factors (i.e., trauma exposure, neighborhood safety, school environment, and family environment) to identify homogeneous subtypes. Depending on the subtyping resolution, results identified two or five subgroups, each characterized by distinct brain structure-environment profiles. Notably, more supportive caregiving and school environments were associated with greater myelination, whereas less supportive caregiving, higher family conflict and psychopathology, and higher perceived neighborhood safety were observed with greater cortical thickness. These subtypes were highly reproducible and predicted externalizing symptoms and overall mental health problems. Our findings support the theory that distinct environmental exposures are differentially associated with alterations in structural neurodevelopment. Delineating more precise associations between risk factors, protective factors, and brain development may inform approaches to enhance risk identification and optimize interventions targeting specific experiences.
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Affiliation(s)
- Seok-Jun Hong
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA; Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Suwon, South Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea
| | - Lucinda M Sisk
- Department of Psychology, Yale University, New Haven, CT, USA
| | | | - Anthony Mekhanik
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
| | - Amy K Roy
- Department of Psychology, Fordham University, Bronx, NY, USA
| | - Michael P Milham
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA; Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, USA
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, CT, USA.
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11
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Ibrahim K, Kalvin C, Li F, He G, Pelphrey KA, McCarthy G, Sukhodolsky DG. Sex differences in medial prefrontal and parietal cortex structure in children with disruptive behavior. Dev Cogn Neurosci 2021; 47:100884. [PMID: 33254067 PMCID: PMC7704291 DOI: 10.1016/j.dcn.2020.100884] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 10/25/2020] [Accepted: 11/14/2020] [Indexed: 01/08/2023] Open
Abstract
Sex differences in brain structure in children with disruptive behavior disorders (DBD) remain poorly understood. This study examined sex differences in gray matter volume in children with DBD in a priori regions-of-interest implicated in the pathophysiology of disruptive behavior. We then conducted a whole-brain analysis of cortical thickness to examine sex differences in regions not included in our hypothesis. Exploratory analyses investigated unique associations between structure, and dimensional measures of severity of disruptive behavior and callous-unemotional traits. This cross-sectional study included 88 children with DBD (30 females) aged 8-16 years and 50 healthy controls (20 females). Structural MRI data were analyzed using surface-based morphometry to test for interactions between sex and group. Multiple-regression analyses tested for sex-specific associations between structure, callous-unemotional traits, and disruptive behavior severity. Boys with DBD showed reduced gray matter volume in the left ventromedial prefrontal cortex (vmPFC) and reduced cortical thickness in the supramarginal gyrus, but not girls compared to respective controls. Dimensional analyses revealed associations between sex, callous-unemotional traits, and disruptive behavior for amygdala and vmPFC volume, and ventrolateral prefrontal cortex cortical thickness. Sex-specific differences in prefrontal structures involved in emotion regulation may support identification of neural biomarkers of disruptive behavior to inform target-based treatments.
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Affiliation(s)
- Karim Ibrahim
- Yale University School of Medicine, Child Study Center, United States.
| | - Carla Kalvin
- Yale University School of Medicine, Child Study Center, United States
| | - Fangyong Li
- Yale University School of Medicine, Center for Analytical Sciences, United States
| | - George He
- Yale University, Department of Psychology, United States
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12
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The Role of Perspective Taking and Self-Control in a Preventive Intervention Targeting Childhood Disruptive Behavior. Res Child Adolesc Psychopathol 2021; 49:657-670. [PMID: 33439419 PMCID: PMC8026447 DOI: 10.1007/s10802-020-00761-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2020] [Indexed: 01/11/2023]
Abstract
Prevention studies typically focus on outcome variables such as reductions in problem behavior, rather than targeted factors (e.g., cognitions), or the relation between change in targeted factors and outcomes. Therefore, the current study examined the effect of a targeted prevention program for childhood disruptive behavior on targeted factors (i.e., perspective taking and self-control) and associations between change in targeted factors and outcomes (i.e., aspects of disruptive behavior). The sample consisted of 173 children (Mage = 10.2 years) who were randomly assigned to an intervention condition (n = 70) or waitlist control condition (n = 103). Assessment took place at pre-, post- and follow-up measurements. For ethical considerations, follow-up data was not available for children on the waitlist. Findings revealed a direct intervention effect on self-control. From pre-test to follow-up, children who received the intervention improved in perspective taking and self-control. Moreover, improvements in self-control were associated with and predicted reductions in teacher-reported symptoms of oppositional defiant disorder. No associations were found between changes in perspective taking and disruptive behavior. These findings suggest that self-control may be an important target factor in reducing childhood disruptive behavior in targeted prevention.
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13
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Cortical thickness of the insula and prefrontal cortex relates to externalizing behavior: Cross-sectional and prospective findings. Dev Psychopathol 2020; 33:1437-1447. [PMID: 32638690 DOI: 10.1017/s0954579420000619] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Externalizing behaviors (EBs) pertain to a diverse set of aggressive, antisocial, and potentially destructive behaviors directed toward the external environment. They range from nonclinical to clinical in severity, associated with opposition, aggression, hyperactivity, or impulsivity, and are considered a risk factor for the emergence of psychopathology later in adulthood. Focusing on community adolescents (N = 102; 49 female and 53 male adolescents; age range 12-19 years), this study aimed to explore the relations between EBs and the cortical thickness of regions of interest as well as to identify possible risk markers that could improve understanding of the EB construct. Using a mixed cross-sectional and prospective design (1-year follow-up), we report specific associations with cortical thickness of the left insular, right orbitofrontal, and left anterior cingulate cortex. Specifically, thinner left insular and right orbitofrontal cortex was associated with higher EBs, and thinner left anterior cingulate cortex predicted less reduction in EBs 1 year later. In addition, further examination of the aggression and rule-breaking subscales of the Youth/Adult Self-Report, used to assess EBs, revealed specific associations with insular subregions. Findings suggest that cortical structure morphology may significantly relate to the expression and maintenance of EBs within the general population of adolescents.
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14
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Whittle S, Vijayakumar N, Simmons JG, Allen NB. Internalizing and Externalizing Symptoms Are Associated With Different Trajectories of Cortical Development During Late Childhood. J Am Acad Child Adolesc Psychiatry 2020; 59:177-185. [PMID: 31047992 DOI: 10.1016/j.jaac.2019.04.006] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 03/21/2019] [Accepted: 04/16/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVE Investigation of neurobiological differences between internalizing and externalizing symptoms in children is needed to better understand the unique pathophysiology of each, which may ultimately better target treatments and interventions. Longitudinal studies are critical, given the marked brain development that occurs in childhood; however, few such studies exist, and results are inconsistent. The aim of this study was to longitudinally investigate associations between internalizing and externalizing symptoms, and cortical thinning during late childhood. METHOD Participants were 105 children (49 male) from the community, who underwent magnetic resonance imaging (MRI) brain scans, and completed questionnaire measures of depressive and anxiety symptoms at two time points (mean age: 8.4 years at baseline, 10.0 years at follow-up); and, mothers, who reported on child internalizing and externalizing symptoms at both time points. Whole-brain vertex-wise regression analyses were performed to assess associations between change in cortical thickness and symptoms between baseline and follow-up. RESULTS Increases in internalizing symptoms over time were associated with reduced thinning in the orbitofrontal cortex, whereas increases in externalizing symptoms were associated with reduced thinning in the postcentral gyrus. The interaction between internalizing and externalizing symptom change was not associated with cortical thinning. CONCLUSION Results suggest that the development of internalizing and externalizing symptoms are associated with unique neurodevelopmental patterns in late childhood, potentially implicating differential deficits in affective reactivity, emotion regulation, and social cognition. Further research is required to elucidate the implications of these patterns for ongoing brain development, psychopathology, and behavior.
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Affiliation(s)
- Sarah Whittle
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Victoria, Australia; Melbourne School of Psychological Sciences, The University of Melbourne, Australia.
| | - Nandita Vijayakumar
- University of Oregon, Eugene; School of Psychology, Deakin University, Burwood, Australia
| | - Julian G Simmons
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Victoria, Australia; Melbourne School of Psychological Sciences, The University of Melbourne, Australia
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15
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Rohleder C, Koethe D, Fritze S, Topor CE, Leweke FM, Hirjak D. Neural correlates of binocular depth inversion illusion in antipsychotic-naïve first-episode schizophrenia patients. Eur Arch Psychiatry Clin Neurosci 2019; 269:897-910. [PMID: 29556734 DOI: 10.1007/s00406-018-0886-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Accepted: 03/13/2018] [Indexed: 12/26/2022]
Abstract
OBJECTIVES Binocular depth inversion illusion (BDII), a visual, 'top-down'-driven information process, is impaired in schizophrenia and particularly in its early stages. BDII is a sensitive measure of impaired visual information processing and represents a valid diagnostic tool for schizophrenia and other psychotic disorders. However, neurobiological underpinnings of aberrant BDII in first-episode schizophrenia are largely unknown at present. METHODS In this study, 22 right-handed, first-episode, antipsychotic-naïve schizophrenia patients underwent BDII assessment and MRI scanning at 1.5 T. The surface-based analysis via new version of Freesurfer (6.0) enabled calculation of cortical thickness and surface area. BDII total and faces scores were related to the two distinct cortical measurements. RESULTS We found a significant correlation between BDII performance and cortical thickness in the inferior frontal gyrus and middle temporal gyrus (p < 0.003, Bonferroni corr.), as well as superior parietal gyrus, postcentral gyrus, supramarginal gyrus, and precentral gyrus (p < 0.05, CWP corr.), respectively. BDII performance was significantly correlated with surface area in the superior parietal gyrus and right postcentral gyrus (p < 0.003, Bonferroni corr.). CONCLUSION BDII performance may be linked to cortical thickness and surface area variations in regions involved in "adaptive" or "top-down" modulation and stimulus processing, i.e., frontal and parietal lobes. Our results suggest that cortical features of distinct evolutionary and genetic origin differently contribute to BDII performance in first-episode, antipsychotic-naïve schizophrenia patients.
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Affiliation(s)
- Cathrin Rohleder
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany.,Institute of Radiochemistry and Experimental Molecular Imaging, University Hospital of Cologne, Cologne, Germany
| | - Dagmar Koethe
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - Cristina E Topor
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - F Markus Leweke
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany.,Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany.
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16
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Hirjak D, Kubera KM, Northoff G, Fritze S, Bertolino AL, Topor CE, Schmitgen MM, Wolf RC. Cortical Contributions to Distinct Symptom Dimensions of Catatonia. Schizophr Bull 2019; 45:1184-1194. [PMID: 30753720 PMCID: PMC6811823 DOI: 10.1093/schbul/sby192] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Catatonia is a central aspect of schizophrenia spectrum disorders (SSD) and most likely associated with abnormalities in affective, motor, and sensorimotor brain regions. However, contributions of different cortical features to the pathophysiology of catatonia in SSD are poorly understood. Here, T1-weighted structural magnetic resonance imaging data at 3 T were obtained from 56 right-handed patients with SSD. Using FreeSurfer version 6.0, we calculated cortical thickness, area, and local gyrification index (LGI). Catatonic symptoms were examined on the Northoff catatonia rating scale (NCRS). Patients with catatonia (NCRS total score ≥3; n = 25) showed reduced surface area in the parietal and medial orbitofrontal gyrus and LGI in the temporal gyrus (P < .05, corrected for cluster-wise probability [CWP]) as well as hypergyrification in rostral cingulate and medial orbitofrontal gyrus when compared with patients without catatonia (n = 22; P < .05, corrected for CWP). Following a dimensional approach, a negative association between NCRS motor and behavior scores and cortical thickness in superior frontal, insular, and precentral cortex was found (34 patients with at least 1 motor and at least 1 other affective or behavioral symptom; P < .05, corrected for CWP). Positive associations were found between NCRS motor and behavior scores and surface area and LGI in superior frontal, posterior cingulate, precentral, and pericalcarine gyrus (P < .05, corrected for CWP). The data support the notion that cortical features of distinct evolutionary and genetic origin differently contribute to catatonia in SSD. Catatonia in SSD may be essentially driven by cortex variations in frontoparietal regions including regions implicated in the coordination and goal-orientation of behavior.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany,To whom correspondence should be addressed; tel: 49-621-1703-0, fax: 0049-621-1703-2305, e-mail:
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Alina L Bertolino
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Cristina E Topor
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
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17
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Budhiraja M, Pereira JB, Lindner P, Westman E, Jokinen J, Savic I, Tiihonen J, Hodgins S. Cortical structure abnormalities in females with conduct disorder prior to age 15. Psychiatry Res Neuroimaging 2019; 289:37-44. [PMID: 31101397 DOI: 10.1016/j.pscychresns.2018.12.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 12/04/2018] [Accepted: 12/06/2018] [Indexed: 01/07/2023]
Abstract
Among females, conduct disorder (CD) before age 15 is associated with multiple adverse outcomes in adulthood. The few existing structural neuroimaging studies of females with CD report abnormalities of gray matter volumes. The present study compared cortical thickness and surface area of young women with childhood/adolescent CD and healthy women to determine whether cortical abnormalities were present in adulthood and whether they were related to prior CD. Structural brain images from 31 women with CD and 25 healthy women were analyzed using FreeSurfer. Group differences between cortical thickness and surface area were assessed using cluster-wise corrections with Monte Carlo simulations. Women with prior CD, relative to healthy women, showed: (1) reduced cortical thickness in left fusiform gyrus extending up to entorhinal cortex and lingual gyrus; (2) reduced surface area in right superior parietal cortex; (3) increased surface area in left superior temporal gyrus, and right precentral gyrus. These differences remained significant after adjusting for past comorbid disorders, current symptoms of anxiety and depression, current substance use as well as maltreatment. The study suggests that among females, CD prior to age 15 is associated with cortical structure abnormalities in brain regions involved in emotion processing and social interaction.
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Affiliation(s)
- Meenal Budhiraja
- Department of Clinical Neuroscience, Karolinska Institute, Psychiatry Building R5:00, Karolinska, University Hospital, Stockholm 171 76, Sweden.
| | - Joana B Pereira
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Philip Lindner
- Department of Clinical Neuroscience, Karolinska Institute, Psychiatry Building R5:00, Karolinska, University Hospital, Stockholm 171 76, Sweden
| | - Eric Westman
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Jussi Jokinen
- Department of Clinical Neuroscience, Karolinska Institute, Psychiatry Building R5:00, Karolinska, University Hospital, Stockholm 171 76, Sweden; Department of Clinical Sciences/Psychiatry, Umeå University, Umeå, Sweden
| | - Ivanka Savic
- Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
| | - Jari Tiihonen
- Department of Clinical Neuroscience, Karolinska Institute, Psychiatry Building R5:00, Karolinska, University Hospital, Stockholm 171 76, Sweden
| | - Sheilagh Hodgins
- Department of Clinical Neuroscience, Karolinska Institute, Psychiatry Building R5:00, Karolinska, University Hospital, Stockholm 171 76, Sweden; Département de Psychiatrie, Université de Montréal, Montreal, QC, Canada
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18
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Bos MG, Wierenga LM, Blankenstein NE, Schreuders E, Tamnes CK, Crone EA. Longitudinal structural brain development and externalizing behavior in adolescence. J Child Psychol Psychiatry 2018; 59:1061-1072. [PMID: 30255501 PMCID: PMC6175471 DOI: 10.1111/jcpp.12972] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/31/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND Cross-sectional studies report relations between externalizing behavior and structural abnormalities in cortical thickness of prefrontal regions and volume reductions in subcortical regions. To understand how these associations emerge and develop, longitudinal designs are pivotal. METHOD In the current longitudinal study, a community sample of children, adolescents and young adults (N = 271) underwent magnetic resonance imaging (MRI) in three biennial waves (680 scans). At each wave, aspects of externalizing behavior were assessed with parent-reported aggression and rule-breaking scores (Child Behavior Checklist), and self-reported aggression scores (Buss-Perry Aggression Questionnaire). Regions of interest (ROIs) were selected based on prior research: dorsolateral prefrontal (dlPFC), orbitofrontal (OFC), anterior cingulate cortex (ACC), insula, and parahippocampal cortex, as well as subcortical regions. Linear mixed models were used to assess the longitudinal relation between externalizing behavior and structural brain development. Structural covariance analyses were employed to identify whether longitudinal relations between ROIs (maturational coupling) were associated with externalizing behavior. RESULTS Linear mixed model analyses showed a negative relation between parent-reported aggression and right hippocampal volume. Moreover, this longitudinal relation was driven by change in hippocampal volume and not initial volume of hippocampus at time point 1. Exploratory analyses showed that stronger maturational coupling between prefrontal regions, the limbic system, and striatum was associated with both low and high externalizing behavior. CONCLUSIONS Together, these findings reinforce the hypothesis that altered structural brain development coincides with development of more externalizing behavior. These findings may guide future research on normative and deviant development of externalizing behavior.
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Affiliation(s)
- Marieke G.N. Bos
- Institute of PsychologyLeiden UniversityLeidenThe Netherlands,Leiden Institute for Brain and CognitionLeidenThe Netherlands
| | - Lara M. Wierenga
- Institute of PsychologyLeiden UniversityLeidenThe Netherlands,Leiden Institute for Brain and CognitionLeidenThe Netherlands
| | - Neeltje E. Blankenstein
- Institute of PsychologyLeiden UniversityLeidenThe Netherlands,Leiden Institute for Brain and CognitionLeidenThe Netherlands,Institute of Education and Child StudiesLeiden UniversityLeidenThe Netherlands,Department of Child and Adolescent PsychiatryVU University Medical CenterAmsterdamThe Netherlands
| | - Elisabeth Schreuders
- Institute of PsychologyLeiden UniversityLeidenThe Netherlands,Leiden Institute for Brain and CognitionLeidenThe Netherlands,Department of Developmental PsychologyTilburg UniversityTilburgThe Netherlands
| | - Christian K. Tamnes
- Department of PsychologyUniversity of OsloOsloNorway,Department of PsychiatryDiakonhjemmet HospitalOsloNorway
| | - Eveline A. Crone
- Institute of PsychologyLeiden UniversityLeidenThe Netherlands,Leiden Institute for Brain and CognitionLeidenThe Netherlands
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Kubera KM, Schmitgen MM, Maier-Hein KH, Thomann PA, Hirjak D, Wolf RC. Differential contributions of cortical thickness and surface area to trait impulsivity in healthy young adults. Behav Brain Res 2018; 350:65-71. [DOI: 10.1016/j.bbr.2018.05.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 04/26/2018] [Accepted: 05/07/2018] [Indexed: 01/21/2023]
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Hirjak D, Wolf RC, Pfeifer B, Kubera KM, Thomann AK, Seidl U, Maier-Hein KH, Schröder J, Thomann PA. Cortical signature of clock drawing performance in Alzheimer's disease and mild cognitive impairment. J Psychiatr Res 2017; 90:133-142. [PMID: 28284155 DOI: 10.1016/j.jpsychires.2017.02.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 02/19/2017] [Accepted: 02/21/2017] [Indexed: 12/24/2022]
Abstract
It is unclear whether clock drawing test (CDT) performance relies on a widely distributed cortical network, or whether this test predominantly taps into parietal cortex function. So far, associations between cortical integrity and CDT impairment in Alzheimer's disease (AD) and mild cognitive impairment (MCI) largely stem from cortical volume analyses. Given that volume is a product of thickness and surface area, investigation of the relationship between CDT and these two cortical measures might contribute to better understanding of this cognitive screening tool for AD. 38 patients with AD, 38 individuals with MCI and 31 healthy controls (HC) underwent CDT assessment and MRI at 3 Tesla. The surface-based analysis via Freesurfer enabled calculation of cortical thickness and surface area. CDT was scored according to the method proposed by Shulman and related to the two distinct cortical measurements. Higher CDT scores across the entire sample were associated with cortical thickness in bilateral temporal gyrus, the right supramarginal gyrus, and the bilateral parietal gyrus, respectively (p < 0.001 CWP corr.). Significant associations between CDT and cortical thickness reduction in the parietal lobe remained significant when analyses were restricted to AD individuals. There was no statistically significant association between CDT scores and surface area (p < 0.001 CWP corr.). In conclusion, CDT performance may be driven by cortical thickness alterations in regions previously identified as "AD vulnerable", i.e. regions predominantly including temporal and parietal lobes. Our results suggest that cortical features of distinct evolutionary and genetic origin differently contribute to CDT performance.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany; Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany.
| | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Barbara Pfeifer
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Anne K Thomann
- Department of Internal Medicine II, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Ulrich Seidl
- Center for Mental Health, Department of Psychiatry, Prießnitzweg 24, Stuttgart 70374, Germany
| | - Klaus H Maier-Hein
- Medical Image Computing Group, German Cancer Research Center (DKFZ), Germany
| | | | - Philipp A Thomann
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany; Center for Mental Health, Odenwald District Healthcare Center, Albert-Schweitzer-Straße 10-20, 64711 Erbach, Germany
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Hirjak D, Huber M, Kirchler E, Kubera KM, Karner M, Sambataro F, Freudenmann RW, Wolf RC. Cortical features of distinct developmental trajectories in patients with delusional infestation. Prog Neuropsychopharmacol Biol Psychiatry 2017; 76:72-79. [PMID: 28257853 DOI: 10.1016/j.pnpbp.2017.02.018] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 02/23/2017] [Accepted: 02/27/2017] [Indexed: 01/02/2023]
Abstract
BACKGROUND Although there is strong neuroimaging evidence that cortical alterations are a core feature of schizophrenia spectrum disorders, it still remains unclear to what extent such abnormalities occur in monothematic delusional disorders. In individuals with delusional infestation (DI), the delusional belief to be infested with pathogens, previous structural MRI studies have shown prefrontal, temporal, parietal, insular, thalamic and striatal gray matter volume changes. Differential contributions of cortical features of evolutionary and genetic origin (such as cortical thickness, area and folding) which may distinctly contribute to DI pathophysiology are unclear at present. METHODS In this study, 18 patients with DI and 20 healthy controls (HC) underwent MRI scanning at 1.0T. Using surface-based analyses we calculated cortical thickness, surface area and local gyrification index (LGI). Whole-brain differences between patients and controls were investigated. RESULTS Surface analyses revealed frontoparietal patterns exhibiting altered cortical thickness, surface area and LGI in DI patients compared to controls. Higher cortical thickness was found in the right medial orbitofrontal cortex (p<0.05, cluster-wise probability [CWP] corrected). Smaller surface area in patients was found in the left inferior temporal gyrus, the precuneus, the pars orbitalis of the right frontal gyrus, and the lingual gyrus (p<0.05, CWP corr.). Lower LGI was found in the left postcentral, bilateral precentral, right middle temporal, inferior parietal, and superior parietal gyri (p<0.01, CWP corr.). CONCLUSION This study lends further support to the hypothesis that cortical features of distinct evolutionary and genetic origin differently contribute to the pathogenesis of delusional disorders. Regions in which atrophy was observed are part of neural circuits associated with perception, visuospatial control and self-awareness. The data are in line with the notion of a content-specific neural signature of DI.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany.
| | - Markus Huber
- Department of Psychiatry, General Hospital Bruneck, South Tyrol, Italy
| | - Erwin Kirchler
- Department of Psychiatry, General Hospital Bruneck, South Tyrol, Italy
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Martin Karner
- Department of Radiology, General Hospital Bruneck, South Tyrol, Italy
| | - Fabio Sambataro
- Department of Experimental and Clinical Medical Sciences, Udine University, Italy
| | | | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
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