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Fotopoulos NH, Chaumette B, Devenyi GA, Karama S, Chakravarty M, Labbe A, Grizenko N, Schmitz N, Fageera W, Joober R. Maternal smoking during pregnancy and cortical structure in children with attention-deficit/hyperactivity disorder. Psychiatry Res 2024; 334:115791. [PMID: 38367455 DOI: 10.1016/j.psychres.2024.115791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 01/28/2024] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
Maternal smoking during pregnancy (MSDP) is considered a risk factor for ADHD. While the mechanisms underlying this association are not well understood, MSDP may impact the developing brain in ways that lead to ADHD. Here, we investigated the effect of prenatal smoking exposure on cortical brain structures in children with ADHD using two methods of assessing prenatal exposure: maternal recall and epigenetic typing. Exposure groups were defined according to: (1) maternal recall (+MSDP: n = 24; -MSDP: n = 85) and (2) epigenetic markers (EM) (+EM: n = 14 -EM: n = 21). CIVET-1.1.12 and RMINC were used to acquire cortical brain measurements and perform statistical analyses, respectively. The vertex with highest significance was tested for association with Continuous Performance Test (CPT) dimensions. While no differences of brain structures were identified between +MSDP and -MSDP, +EM children (n = 10) had significantly smaller surface area in the right orbitofrontal cortex (ROFc), middle temporal cortex (RTc) and parahippocampal gyrus (RPHg) (15% FDR) compared to -EM children (n = 20). Cortical surface area in the RPHg significantly correlated with CPT commission errors T-scores. This study suggests that molecular markers may better define exposure to environmental risks, as compared to human recall.
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Affiliation(s)
- Nellie H Fotopoulos
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Boris Chaumette
- Department of Psychiatry, McGill University, Montréal, Québec, Canada; Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GHU-Paris Psychiatrie et Neurosciences, Paris, France
| | - Gabriel A Devenyi
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Sherif Karama
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Montréal Neurological Institute, Montréal, Québec, Canada
| | - Mallar Chakravarty
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montréal, Québec, Canada
| | - Aurelie Labbe
- Department of Decision Sciences, HEC Montreal, Montréal, Québec, Canada
| | - Natalie Grizenko
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Norbert Schmitz
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Weam Fageera
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada.
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Li X, Jiang M, Zhao L, Yang K, Lu T, Zhang D, Li J, Wang L. Relationship between autism and brain cortex surface area: genetic correlation and a two-sample Mendelian randomization study. BMC Psychiatry 2024; 24:69. [PMID: 38263034 PMCID: PMC10807092 DOI: 10.1186/s12888-024-05514-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 01/10/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Alterations in surface area (SA) in specific regions of the cortex have been reported in many individuals with autism spectrum disorder (ASD), however, the genetic background between ASD and SA is still unclear. This study estimated the genetic correlation and causal effect of ASD and cortical SA. METHODS Summarized data of genome-wide association studies (GWAS) were separately downloaded from the Psychiatric Genomics Consortium (18,381 cases of ASD, and 27,969 controls) and the Enhancing Neuroimaging Genetics through Meta-Analysis Consortium (33,992 participants of Europeans). We used Linkage disequilibrium score regression (LDSC) and Heritability Estimation from Summary Statistics (HESS) to calculate the heritability of each trait. As for the genetic correlation between ASD and SA, LDSC was used for global correlation and HESS was used to examine the local genetic covariance further. We used three Mendelian randomization (MR) methods, Inverse-variance weighted, MR-Egger, and weighted median to estimate the causal relationship. RESULTS LDSC observed a nominal significant genetic correlation (rg = 0.1229, P-value = 0.0346) between ASD and SA of the rostral anterior cingulate gyrus whereas analysis through HESS did not reveal any significant loci having genetic covariance. Based on MR results, statistically meaningful estimations were found in the following areas, postcentral cortex (β (SE) = 21.82 (7.84) mm, 95% CI: 6.46 to 37.19 mm, PIVW = 5.38 × 10- 3, PFDR = 3.09 × 10- 2), posterior cingulate gyrus (β (SE) = 6.23 (2.69) mm, 95% CI: 0.96 to 11.49 mm, PIVW = 2.05 × 10- 2, PFDR = 4.26 × 10- 2), supramarginal gyrus (β (SE) = 19.25 (8.43) mm, 95% CI: 29.29 to 35.77 mm, PIVW = 2.24 × 10- 2, PFDR = 4.31 × 10- 2). CONCLUSION Our results provided genetic evidence to support the opinion that individuals with ASD tend to develop differences in cortical SA of special areas. The findings contributed to understanding the genetic relationship between ASD and cortical SA.
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Grants
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
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Affiliation(s)
- Xianjing Li
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Miaomiao Jiang
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Liyang Zhao
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Kang Yang
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Tianlan Lu
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Dai Zhang
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou, China
| | - Jun Li
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China.
| | - Lifang Wang
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Slapø NB, Jørgensen KN, Elvsåshagen T, Nerland S, Roelfs D, Valstad M, Timpe CMF, Richard G, Beck D, Sæther LS, Frogner Werner MC, Lagerberg TV, Andreassen OA, Melle I, Agartz I, Westlye LT, Moberget T, Jönsson EG. Relationship between function and structure in the visual cortex in healthy individuals and in patients with severe mental disorders. Psychiatry Res Neuroimaging 2023; 332:111633. [PMID: 37028226 DOI: 10.1016/j.pscychresns.2023.111633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/12/2023] [Accepted: 03/17/2023] [Indexed: 04/09/2023]
Abstract
Patients with schizophrenia spectrum disorders (SCZspect) and bipolar disorders (BD) show impaired function in the primary visual cortex (V1), indicated by altered visual evoked potential (VEP). While the neural substrate for altered VEP in these patients remains elusive, altered V1 structure may play a role. One previous study found a positive relationship between the amplitude of the P100 component of the VEP and V1 surface area, but not V1 thickness, in a small sample of healthy individuals. Here, we aimed to replicate these findings in a larger healthy control (HC) sample (n = 307) and to examine the same relationship in patients with SCZspect (n = 30) or BD (n = 45). We also compared the mean P100 amplitude, V1 surface area and V1 thickness between controls and patients and found no significant group differences. In HC only, we found a significant positive P100-V1 surface area association, while there were no significant P100-V1 thickness relationships in HC, SCZspect or BD. Together, our results confirm previous findings of a positive P100-V1 surface area association in HC, whereas larger patient samples are needed to further clarify the function-structure relationship in V1 in SCZspect and BD.
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Affiliation(s)
- Nora Berz Slapø
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway.
| | - Kjetil Nordbø Jørgensen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatry, Telemark Hospital, Skien, Norway
| | - Torbjørn Elvsåshagen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Neurology, Oslo University Hospital, Norway
| | - Stener Nerland
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Daniel Roelfs
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway
| | - Mathias Valstad
- Department of Mental Disorders, Norwegian Institute of Public Health, Norway
| | - Clara M F Timpe
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway
| | | | - Dani Beck
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | | | | | - Trine Vik Lagerberg
- NORMENT, Division of Mental Health and Addiction, Oslo University hospital, Norway
| | - Ole A Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University hospital, Norway
| | - Ingrid Melle
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University hospital, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Sciences, Stockholm Region, Stockholm, Sweden
| | - Lars T Westlye
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway
| | - Torgeir Moberget
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Behavioral Sciences, Faculty of Health Sciences, Oslo Metropolitan University, OsloMet, Oslo, Norway
| | - Erik G Jönsson
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Sciences, Stockholm Region, Stockholm, Sweden
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Elmer S, Schmitt R, Giroud N, Meyer M. The neuroanatomical hallmarks of chronic tinnitus in comorbidity with pure-tone hearing loss. Brain Struct Funct 2023; 228:1511-1534. [PMID: 37349539 PMCID: PMC10335971 DOI: 10.1007/s00429-023-02669-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 06/13/2023] [Indexed: 06/24/2023]
Abstract
Tinnitus is one of the main hearing impairments often associated with pure-tone hearing loss, and typically manifested in the perception of phantom sounds. Nevertheless, tinnitus has traditionally been studied in isolation without necessarily considering auditory ghosting and hearing loss as part of the same syndrome. Hence, in the present neuroanatomical study, we attempted to pave the way toward a better understanding of the tinnitus syndrome, and compared two groups of almost perfectly matched individuals with (TIHL) and without (NTHL) pure-tone tinnitus, but both characterized by pure-tone hearing loss. The two groups were homogenized in terms of sample size, age, gender, handedness, education, and hearing loss. Furthermore, since the assessment of pure-tone hearing thresholds alone is not sufficient to describe the full spectrum of hearing abilities, the two groups were also harmonized for supra-threshold hearing estimates which were collected using temporal compression, frequency selectivity und speech-in-noise tasks. Regions-of-interest (ROI) analyses based on key brain structures identified in previous neuroimaging studies showed that the TIHL group exhibited increased cortical volume (CV) and surface area (CSA) of the right supramarginal gyrus and posterior planum temporale (PT) as well as CSA of the left middle-anterior part of the superior temporal sulcus (STS). The TIHL group also demonstrated larger volumes of the left amygdala and of the left head and body of the hippocampus. Notably, vertex-wise multiple linear regression analyses additionally brought to light that CSA of a specific cluster, which was located in the left middle-anterior part of the STS and overlapped with the one found to be significant in the between-group analyses, was positively associated with tinnitus distress level. Furthermore, distress also positively correlated with CSA of gray matter vertices in the right dorsal prefrontal cortex and the right posterior STS, whereas tinnitus duration was positively associated with CSA and CV of the right angular gyrus (AG) and posterior part of the STS. These results provide new insights into the critical gray matter architecture of the tinnitus syndrome matrix responsible for the emergence, maintenance and distress of auditory phantom sensations.
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Affiliation(s)
- Stefan Elmer
- Department of Computational Linguistics, Computational Neuroscience of Speech & Hearing, University of Zurich, Zurich, Switzerland
- Competence Center Language & Medicine, University of Zurich, Zurich, Switzerland
| | - Raffael Schmitt
- Department of Computational Linguistics, Computational Neuroscience of Speech & Hearing, University of Zurich, Zurich, Switzerland
| | - Nathalie Giroud
- Department of Computational Linguistics, Computational Neuroscience of Speech & Hearing, University of Zurich, Zurich, Switzerland
- Center for Neuroscience Zurich, University and ETH of Zurich, Zurich, Switzerland
- Competence Center Language & Medicine, University of Zurich, Zurich, Switzerland
| | - Martin Meyer
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
- Center for Neuroscience Zurich, University and ETH of Zurich, Zurich, Switzerland
- Center for the Interdisciplinary Study of Language Evolution (ISLE), University of Zurich, Zurich, Switzerland
- Cognitive Psychology Unit, Alpen-Adria University, Klagenfurt, Austria
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Thomas MSC, Coecke S. Associations between Socioeconomic Status, Cognition, and Brain Structure: Evaluating Potential Causal Pathways Through Mechanistic Models of Development. Cogn Sci 2023; 47:e13217. [PMID: 36607218 DOI: 10.1111/cogs.13217] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 10/14/2022] [Accepted: 10/24/2022] [Indexed: 01/07/2023]
Abstract
Differences in socioeconomic status (SES) correlate both with differences in cognitive development and in brain structure. Associations between SES and brain measures such as cortical surface area and cortical thickness mediate differences in cognitive skills such as executive function and language. However, causal accounts that link SES, brain, and behavior are challenging because SES is a multidimensional construct: correlated environmental factors, such as family income and parental education, are only distal markers for proximal causal pathways. Moreover, the causal accounts themselves must span multiple levels of description, employ a developmental perspective, and integrate genetic effects on individual differences. Nevertheless, causal accounts have the potential to inform policy and guide interventions to reduce gaps in developmental outcomes. In this article, we review the range of empirical data to be integrated in causal accounts of developmental effects on the brain and cognition associated with variation in SES. We take the specific example of language development and evaluate the potential of a multiscale computational model of development, based on an artificial neural network, to support the construction of causal accounts. We show how, with bridging assumptions that link properties of network structure to magnetic resonance imaging (MRI) measures of brain structure, different sets of empirical data on SES effects can be connected. We use the model to contrast two possible causal pathways for environmental influences that are associated with SES: differences in prenatal brain development and differences in postnatal cognitive stimulation. We then use the model to explore the implications of each pathway for the potential to intervene to reduce gaps in developmental outcomes. The model points to the cumulative effects of social disadvantage on multiple pathways as the source of the poorest response to interventions. Overall, we highlight the importance of implemented models to test competing accounts of environmental influences on individual differences.
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Affiliation(s)
- Michael S C Thomas
- Developmental Neurocognition Laboratory, Department of Psychological Sciences, Birkbeck, University of London, 3 Quantinuum, UK.,Centre for Educational Neuroscience, Birkbeck, University of London
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Dhamala E, Ooi LQR, Chen J, Kong R, Anderson KM, Chin R, Yeo BTT, Holmes AJ. Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development. Neuroimage 2022; 260:119485. [PMID: 35843514 PMCID: PMC9425854 DOI: 10.1016/j.neuroimage.2022.119485] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 07/08/2022] [Accepted: 07/13/2022] [Indexed: 01/03/2023] Open
Abstract
Individual differences in brain anatomy can be used to predict variations in cognitive ability. Most studies to date have focused on broad population-level trends, but the extent to which the observed predictive features are shared across sexes and age groups remains to be established. While it is standard practice to account for intracranial volume (ICV) using proportion correction in both regional and whole-brain morphometric analyses, in the context of brain-behavior predictions the possible differential impact of ICV correction on anatomical features and subgroups within the population has yet to be systematically investigated. In this work, we evaluate the effect of proportional ICV correction on sex-independent and sex-specific predictive models of individual cognitive abilities across multiple anatomical properties (surface area, gray matter volume, and cortical thickness) in healthy young adults (Human Connectome Project; n = 1013, 548 females) and typically developing children (Adolescent Brain Cognitive Development study; n = 1823, 979 females). We demonstrate that ICV correction generally reduces predictive accuracies derived from surface area and gray matter volume, while increasing predictive accuracies based on cortical thickness in both adults and children. Furthermore, the extent to which predictive models generalize across sexes and age groups depends on ICV correction: models based on surface area and gray matter volume are more generalizable without ICV correction, while models based on cortical thickness are more generalizable with ICV correction. Finally, the observed neuroanatomical features predictive of cognitive abilities are unique across age groups regardless of ICV correction, but whether they are shared or unique across sexes (within age groups) depends on ICV correction. These findings highlight the importance of considering individual differences in ICV, and show that proportional ICV correction does not remove the effects of cranial volume from anatomical measurements and can introduce ICV bias where previously there was none. ICV correction choices affect not just the strength of the relationships captured, but also the conclusions drawn regarding the neuroanatomical features that underlie those relationships.
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Affiliation(s)
- Elvisha Dhamala
- Department of Psychology, Yale University, New Haven, United States; Kavli Institute for Neuroscience, Yale University, New Haven, United States.
| | - Leon Qi Rong Ooi
- Centre for Sleep & Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, Singapore, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
| | - Jianzhong Chen
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
| | - Ru Kong
- Centre for Sleep & Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, Singapore, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
| | - Kevin M Anderson
- Department of Psychology, Yale University, New Haven, United States
| | - Rowena Chin
- Department of Psychology, Yale University, New Haven, United States
| | - B T Thomas Yeo
- Centre for Sleep & Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, Singapore, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore; Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Avram J Holmes
- Department of Psychology, Yale University, New Haven, United States; Kavli Institute for Neuroscience, Yale University, New Haven, United States; Department of Psychiatry, Yale University, New Haven, United States; Wu Tsai Institute, Yale University, New Haven, United States.
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Patel Y, Shin J, Abé C, Agartz I, Alloza C, Alnæs D, Ambrogi S, Antonucci LA, Arango C, Arolt V, Auzias G, Ayesa-Arriola R, Banaj N, Banaschewski T, Bandeira C, Başgöze Z, Cupertino RB, Bau CHD, Bauer J, Baumeister S, Bernardoni F, Bertolino A, Bonnin CDM, Brandeis D, Brem S, Bruggemann J, Bülow R, Bustillo JR, Calderoni S, Calvo R, Canales-Rodríguez EJ, Cannon DM, Carmona S, Carr VJ, Catts SV, Chenji S, Chew QH, Coghill D, Connolly CG, Conzelmann A, Craven AR, Crespo-Facorro B, Cullen K, Dahl A, Dannlowski U, Davey CG, Deruelle C, Díaz-Caneja CM, Dohm K, Ehrlich S, Epstein J, Erwin-Grabner T, Eyler LT, Fedor J, Fitzgerald J, Foran W, Ford JM, Fortea L, Fuentes-Claramonte P, Fullerton J, Furlong L, Gallagher L, Gao B, Gao S, Goikolea JM, Gotlib I, Goya-Maldonado R, Grabe HJ, Green M, Grevet EH, Groenewold NA, Grotegerd D, Gruber O, Haavik J, Hahn T, Harrison BJ, Heindel W, Henskens F, Heslenfeld DJ, Hilland E, Hoekstra PJ, Hohmann S, Holz N, Howells FM, Ipser JC, Jahanshad N, Jakobi B, Jansen A, Janssen J, Jonassen R, Kaiser A, Kaleda V, Karantonis J, King JA, Kircher T, Kochunov P, Koopowitz SM, Landén M, Landrø NI, Lawrie S, Lebedeva I, Luna B, Lundervold AJ, MacMaster FP, Maglanoc LA, Mathalon DH, McDonald C, McIntosh A, Meinert S, Michie PT, Mitchell P, Moreno-Alcázar A, Mowry B, Muratori F, Nabulsi L, Nenadić I, O'Gorman Tuura R, Oosterlaan J, Overs B, Pantelis C, Parellada M, Pariente JC, Pauli P, Pergola G, Piarulli FM, Picon F, Piras F, Pomarol-Clotet E, Pretus C, Quidé Y, Radua J, Ramos-Quiroga JA, Rasser PE, Reif A, Retico A, Roberts G, Rossell S, Rovaris DL, Rubia K, Sacchet M, Salavert J, Salvador R, Sarró S, Sawa A, Schall U, Scott R, Selvaggi P, Silk T, Sim K, Skoch A, Spalletta G, Spaniel F, Stein DJ, Steinsträter O, Stolicyn A, Takayanagi Y, Tamm L, Tavares M, Teumer A, Thiel K, Thomopoulos SI, Tomecek D, Tomyshev AS, Tordesillas-Gutiérrez D, Tosetti M, Uhlmann A, Van Rheenen T, Vazquez-Bourgón J, Vernooij MW, Vieta E, Vilarroya O, Weickert C, Weickert T, Westlye LT, Whalley H, Willinger D, Winter A, Wittfeld K, Yang TT, Yoncheva Y, Zijlmans JL, Hoogman M, Franke B, van Rooij D, Buitelaar J, Ching CRK, Andreassen OA, Pozzi E, Veltman D, Schmaal L, van Erp TGM, Turner J, Castellanos FX, Pausova Z, Thompson P, Paus T. Virtual Ontogeny of Cortical Growth Preceding Mental Illness. Biol Psychiatry 2022; 92:299-313. [PMID: 35489875 PMCID: PMC11080987 DOI: 10.1016/j.biopsych.2022.02.959] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 02/02/2022] [Accepted: 02/23/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Morphology of the human cerebral cortex differs across psychiatric disorders, with neurobiology and developmental origins mostly undetermined. Deviations in the tangential growth of the cerebral cortex during pre/perinatal periods may be reflected in individual variations in cortical surface area later in life. METHODS Interregional profiles of group differences in surface area between cases and controls were generated using T1-weighted magnetic resonance imaging from 27,359 individuals including those with attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, schizophrenia, and high general psychopathology (through the Child Behavior Checklist). Similarity of interregional profiles of group differences in surface area and prenatal cell-specific gene expression was assessed. RESULTS Across the 11 cortical regions, group differences in cortical area for attention-deficit/hyperactivity disorder, schizophrenia, and Child Behavior Checklist were dominant in multimodal association cortices. The same interregional profiles were also associated with interregional profiles of (prenatal) gene expression specific to proliferative cells, namely radial glia and intermediate progenitor cells (greater expression, larger difference), as well as differentiated cells, namely excitatory neurons and endothelial and mural cells (greater expression, smaller difference). Finally, these cell types were implicated in known pre/perinatal risk factors for psychosis. Genes coexpressed with radial glia were enriched with genes implicated in congenital abnormalities, birth weight, hypoxia, and starvation. Genes coexpressed with endothelial and mural genes were enriched with genes associated with maternal hypertension and preterm birth. CONCLUSIONS Our findings support a neurodevelopmental model of vulnerability to mental illness whereby prenatal risk factors acting through cell-specific processes lead to deviations from typical brain development during pregnancy.
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Affiliation(s)
- Yash Patel
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Jean Shin
- The Hospital for Sick Children and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Agartz
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Clara Alloza
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Dag Alnæs
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Sonia Ambrogi
- Laboratory of Neuropsychiatry, Santa Lucia Foundation Scientific Institute for Research, Hospitalization and Healthcare, Rome, Italy
| | - Linda A Antonucci
- Departments of Education Science, Psychology, Communication Science, University of Bari Aldo Moro, Bari, Italy
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | - Volker Arolt
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Guillaume Auzias
- National Centre for Scientific Research, Aix-Marseille University, Marseille, France
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marques de Valdecilla University Hospital, Instituto de Investigación Valdecilla, CIBERSAM, School of Medicine, University of Cantabria, Santander, Spain
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Santa Lucia Foundation Scientific Institute for Research, Hospitalization and Healthcare, Rome, Italy
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Cibele Bandeira
- Department of Genetics, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Zeynep Başgöze
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota
| | | | - Claiton H D Bau
- Department of Genetics, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jochen Bauer
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabio Bernardoni
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Germany
| | - Alessandro Bertolino
- Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Caterina Del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zürich, Zurich, Switzerland
| | | | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Juan R Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico
| | - Sara Calderoni
- Department of Developmental Neuroscience, Scientific Institute for Research, Hospitalization and Healthcare Stella Maris Foundation, Pisa, Italy
| | - Rosa Calvo
- Institute of Neuroscience, Hospital Clinic, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Barcelona, Spain
| | | | - Dara M Cannon
- Clinical Neuroimaging Lab, Center for Neuroimaging, Cognition and Genomics, Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Susanna Carmona
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | | | - Stanley V Catts
- School of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Sneha Chenji
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Qian Hui Chew
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - David Coghill
- Department of Paediatrics, Department of Psychiatry, University of Melbourne, Parkville, Australia; Department of Psychiatry, Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Colm G Connolly
- Department of Biomedical Sciences, Florida State University, Tallahassee, Florida
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, Virgen del Rocio University Hospital, Universidad de Sevilla, Instituto de Biomedicina de Sevilla, CIBERSAM, Sevilla, Spain
| | - Kathryn Cullen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Andreas Dahl
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Christopher G Davey
- Department of Psychiatry, Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Christine Deruelle
- National Centre for Scientific Research, Aix-Marseille University, Marseille, France
| | | | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Germany
| | - Jeffery Epstein
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Tracy Erwin-Grabner
- Laboratory of Systems Neuroscience and Imaging in Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Jennifer Fedor
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jacqueline Fitzgerald
- Trinity Institute of Neuroscience, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - William Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Judith M Ford
- San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | | | | | - Lisa Furlong
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Louise Gallagher
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Bingchen Gao
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Jose M Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Ian Gotlib
- Department of Psychology, Stanford University, Stanford, California
| | - Roberto Goya-Maldonado
- Laboratory of Systems Neuroscience and Imaging in Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | | | - Eugenio H Grevet
- Department of Psychiatry, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Nynke A Groenewold
- Department of Psychiatry & Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, Australia
| | - Walter Heindel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - Frans Henskens
- School of Medicine & Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Dirk J Heslenfeld
- Experimental and Clinical Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eva Hilland
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fleur M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Jonathan C Ipser
- Department of Psychiatry & Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Neda Jahanshad
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, California
| | - Babette Jakobi
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Andreas Jansen
- Core Facility Brain imaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Rune Jonassen
- Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Anna Kaiser
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - James Karantonis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Joseph A King
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Germany
| | - Tilo Kircher
- Department of Psychiatry, Marburg University, Marburg, Germany
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Sheri-Michelle Koopowitz
- Department of Psychiatry & Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Mikael Landén
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | | | - Stephen Lawrie
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Astri J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Frank P MacMaster
- Departments of Psychiatry and Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Luigi A Maglanoc
- Department for Data Capture and Collections Management, University Center for Information Technology, University of Oslo, Oslo, Norway
| | - Daniel H Mathalon
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California
| | - Colm McDonald
- Galway Neuroscience Centre, Center for Neuroimaging, Cognition and Genomics, Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Andrew McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Patricia T Michie
- School of Psychology, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales, Australia
| | | | - Ana Moreno-Alcázar
- FIDMAG Germanes Hospitalàries Research Foundation, Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
| | - Bryan Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Filippo Muratori
- Department of Developmental Neuroscience, Scientific Institute for Research, Hospitalization and Healthcare Stella Maris Foundation, Pisa, Italy
| | - Leila Nabulsi
- Clinical Neuroimaging Lab, Center for Neuroimaging, Cognition and Genomics, Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
| | | | - Jaap Oosterlaan
- Clinical Neuropsychology Section, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Carlton South, Victoria, Australia
| | - Mara Parellada
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Jose C Pariente
- Magnetic Resonance Imaging core facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Paul Pauli
- Department of Psychology (Biological Psychology, Clinical Psychology, and Psychotherapy), University of Würzburg, Würzburg, Germany
| | - Giulio Pergola
- Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Francesco Maria Piarulli
- Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Felipe Picon
- Graduate Program in Psychiatry and Behavioral Sciences, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Santa Lucia Foundation Scientific Institute for Research, Hospitalization and Healthcare, Rome, Italy
| | | | - Clara Pretus
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - J Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, CIBERSAM, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Paul E Rasser
- Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany
| | | | | | - Susan Rossell
- Centre for Mental Health, School of Health Sciences, Swinburne University, Melbourne, Victoria, Australia
| | - Diego Luiz Rovaris
- Department of Physiology and Biophysics, Instituto de Ciencias Biomédicas Universidade de São Paulo, São Paulo, Brazil
| | - Katya Rubia
- Child & Adolescent Psychiatry, King's College London, London, United Kingdom
| | - Matthew Sacchet
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Josep Salavert
- FIDMAG Germanes Hospitalàries Research Foundation, Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
| | | | | | - Akira Sawa
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ulrich Schall
- Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Rodney Scott
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Pierluigi Selvaggi
- Azienda Ospedaliero-Universitaria Consorziale Policlinico di Bari, Bari, Italy
| | - Tim Silk
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore
| | - Antonin Skoch
- National Institute of Mental Health, Klecany, Czech Republic
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Santa Lucia Foundation Scientific Institute for Research, Hospitalization and Healthcare, Rome, Italy
| | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
| | - Dan J Stein
- Department of Psychiatry & Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Olaf Steinsträter
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
| | - Aleks Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Leanne Tamm
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Maria Tavares
- Department of Genetics, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Sophia I Thomopoulos
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, California
| | - David Tomecek
- National Institute of Mental Health, Klecany, Czech Republic
| | | | - Diana Tordesillas-Gutiérrez
- Department of Radiology, University Hospital Marqués de Valdecilla, Instituto de Investigación Valdecilla, Santander, Spain
| | - Michela Tosetti
- Laboratory of Medical Physics and Magnetic Resonance, Scientific Institute for Research, Hospitalization and Healthcare Stella Maris Foundation, Pisa, Italy
| | - Anne Uhlmann
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
| | - Tamsyn Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Javier Vazquez-Bourgón
- Department of Psychiatry, Marques de Valdecilla University Hospital, Instituto de Investigación Valdecilla, CIBERSAM, School of Medicine, University of Cantabria, Santander, Spain
| | - Meike W Vernooij
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Eduard Vieta
- Institute of Neuroscience, Hospital Clinic, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Barcelona, Spain
| | - Oscar Vilarroya
- Department of Psychiatry, Autonomous University of Barcelona, Cerdanyola del Valles, Spain
| | - Cynthia Weickert
- Department of Neuroscience and Physiology, University of New South Wales, Sydney, Australia
| | | | - Lars T Westlye
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Heather Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - David Willinger
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital, University of Zürich, Zurich, Switzerland
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases, Site Rostock/Greifswald, Greifswald, Germany
| | - Tony T Yang
- Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California San Francisco, San Francisco, California
| | | | - Jendé L Zijlmans
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Martine Hoogman
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Daan van Rooij
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christopher R K Ching
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, California
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Elena Pozzi
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Dick Veltman
- Department of Psychiatry, Amsterdam UMC, VUMC, Amsterdam, The Netherlands
| | - Lianne Schmaal
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California
| | | | | | - Zdenka Pausova
- The Hospital for Sick Children and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Paul Thompson
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, California
| | - Tomas Paus
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada; Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montréal, Montreal, Quebec, Canada.
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9
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Williams CM, Peyre H, Toro R, Ramus F. Comparing brain asymmetries independently of brain size. Neuroimage 2022; 254:119118. [PMID: 35318151 DOI: 10.1016/j.neuroimage.2022.119118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/17/2022] [Accepted: 03/18/2022] [Indexed: 01/16/2023] Open
Abstract
Studies examining cerebral asymmetries typically divide the l-R Measure (e.g., Left-Right Volume) by the L + R Measure to obtain an Asymmetry Index (AI). However, contrary to widespread belief, such a division fails to render the AI independent from the L + R Measure and/or from total brain size. As a result, variations in brain size may bias correlation estimates with the AI or group differences in AI. We investigated how to analyze brain asymmetries in to distinguish global from regional effects, and report unbiased group differences in cerebral asymmetries in the UK Biobank (N = 40, 028). We used 306 global and regional brain measures provided by the UK Biobank. Global gray and white matter volumes were taken from Freesurfer ASEG, subcortical gray matter volumes from Freesurfer ASEG and subsegmentation, cortical gray matter volumes, mean thicknesses, and surface areas from the Destrieux atlas applied on T1-and T2-weighted images, cerebellar gray matter volumes from FAST FSL, and regional white matter volumes from Freesurfer ASEG. We analyzed the extent to which the L + R Measure, Total Cerebral Measure (TCM, e.g., Total Brain Volume), and l-R TCM predict regional asymmetries. As a case study, we assessed the consequences of omitting each of these predictors on the magnitude and significance of sex differences in asymmetries. We found that the L + R Measure, the TCM, and the l-R TCM predicted the AI of more than 89% of regions and that their relationships were generally linear. Removing any of these predictors changed the significance of sex differences in 33% of regions and the magnitude of sex differences across 13-42% of regions. Although we generally report similar sex and age effects on cerebral asymmetries to those of previous large-scale studies, properly adjusting for regional and global brain size revealed additional sex and age effects on brain asymmetry.
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10
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Serrarens C, Otter M, Campforts BCM, Stumpel CTRM, Jansma H, van Amelsvoort TAMJ, Vingerhoets C. Altered subcortical and cortical brain morphology in adult women with 47,XXX: a 7-Tesla magnetic resonance imaging study. J Neurodev Disord 2022; 14:14. [PMID: 35196987 PMCID: PMC8903568 DOI: 10.1186/s11689-022-09425-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 02/14/2022] [Indexed: 12/01/2022] Open
Abstract
Background Triple X syndrome (47,XXX) is a relatively common sex chromosomal aneuploidy characterized by the presence of a supernumerary X chromosome in females and has been associated with a variable cognitive, behavioural and psychiatric phenotype. 47,XXX may serve as a suitable model for studying the effect of genetic architecture on brain morphology. Previous studies have shown alterations in brain structure in 47,XXX particularly in childhood and adolescence. In this study, we examined subcortical and cortical brain morphology in adult women with 47,XXX using ultra-high field 7T MRI. Given previous evidence of impaired social functioning and emotion recognition in adults with 47,XXX, we also investigated the relationship of these functions with brain morphology. Methods Twenty-one adult women with 47,XXX and 22 age- and sex-matched healthy controls were included. Structural T1-weighted images were acquired using a 7-Tesla magnetic resonance scanner. Measures of subcortical brain volumes, cortical surface area and thickness, and cortical folding were obtained and compared between the groups using general linear models. Additionally, we examined potential relationships between brain outcome measures and social functioning and social cognition in 47,XXX using correlation analyses. Results Adults with 47,XXX showed lower volumes of the thalamus, caudate, putamen, hippocampus, nucleus accumbens and pallidum, and larger lateral ventricle volumes. Lower surface area was found in the superior frontal gyrus and superior temporal gyrus in 47,XXX participants compared to healthy controls. Altered cortical thickness and cortical folding were not present in 47,XXX. Cortical thickness was associated with social cognition in 47,XXX. Conclusions Results suggest that a supernumerary X chromosome in females affects subcortical and lateral ventricle volumes, and cortical surface area in adulthood. 47,XXX may serve as a suitable model for studying genetic influences on structural brain morphology across developmental stages in order to understand neurobiological mechanisms underlying cognitive and behavioural impairments. Supplementary Information The online version contains supplementary material available at 10.1186/s11689-022-09425-1.
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Affiliation(s)
- Chaira Serrarens
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
| | - Maarten Otter
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Medical Department, SIZA, Arnhem, The Netherlands.,Department of Community Mental Health in Mild Intellectual Disabilities, Trajectum, Zutphen, The Netherlands
| | - Bea C M Campforts
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Constance T R M Stumpel
- Department of Clinical Genetics and School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Henk Jansma
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Thérèse A M J van Amelsvoort
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Claudia Vingerhoets
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Heeren Loo Zorggroep, Amersfoort, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
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11
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Axelrud LK, Simioni AR, Pine DS, Winkler AM, Pan PM, Sato JR, Zugman A, Parker N, Picon F, Jackowski A, Hoexter MQ, Barker G, Martinot JL, Martinot MLP, Satterthwaite T, Rohde LA, Milham M, Barker ED, Salum GA. Neuroimaging Association Scores: reliability and validity of aggregate measures of brain structural features linked to mental disorders in youth. Eur Child Adolesc Psychiatry 2021; 30:1895-1906. [PMID: 33030612 PMCID: PMC9077631 DOI: 10.1007/s00787-020-01653-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 09/21/2020] [Indexed: 10/23/2022]
Abstract
In genetics, aggregation of many loci with small effect sizes into a single score improved prediction. Nevertheless, studies applying easily replicable weighted scores to neuroimaging data are lacking. Our aim was to assess the reliability and validity of the Neuroimaging Association Score (NAS), which combines information from structural brain features previously linked to mental disorders. Participants were 726 youth (aged 6-14) from two cities in Brazil who underwent MRI and psychopathology assessment at baseline and 387 at 3-year follow-up. Results were replicated in two samples: IMAGEN (n = 1627) and the Healthy Brain Network (n = 843). NAS were derived by summing the product of each standardized brain feature by the effect size of the association of that brain feature with seven psychiatric disorders documented by previous meta-analyses. NAS were calculated for surface area, cortical thickness and subcortical volumes using T1-weighted scans. NAS reliability, temporal stability and psychopathology and cognition prediction were analyzed. NAS for surface area showed high internal consistency and 3-year stability and predicted general psychopathology and cognition with higher replicability than specific symptomatic domains for all samples. They also predicted general psychopathology with higher replicability than single structures alone, accounting for 1-3% of the variance, but without directionality. The NAS for cortical thickness and subcortical volumes showed lower internal consistency and less replicable associations with behavioural phenotypes. These findings indicate the NAS based on surface area might be replicable markers of general psychopathology, but these links are unlikely to be causal or clinically useful yet.
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Affiliation(s)
- Luiza Kvitko Axelrud
- Section On Negative Affect and Social Processes, Departamento de Psiquiatria e Medicina Legal, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Ramiro Barcelos, 2350, Room 2202, Porto Alegre, 90035-003, Brazil.
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil.
| | - André Rafael Simioni
- Section On Negative Affect and Social Processes, Departamento de Psiquiatria e Medicina Legal, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Ramiro Barcelos, 2350, Room 2202, Porto Alegre, 90035-003, Brazil
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil
| | - Daniel Samuel Pine
- National Institute of Mental Health Intramural Research Program, Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Anderson Marcelo Winkler
- National Institute of Mental Health Intramural Research Program, Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Pedro Mario Pan
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil
- Departamento de Psiquiatria, Universidade Federal de São Paulo, São Paulo, Brazil
| | - João Ricardo Sato
- Centro de Matemática, Computação E Cognição, Universidade Federal Do ABC, Santo André, Brazil
| | - André Zugman
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil
- Departamento de Psiquiatria, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Nadine Parker
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Felipe Picon
- Section On Negative Affect and Social Processes, Departamento de Psiquiatria e Medicina Legal, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Ramiro Barcelos, 2350, Room 2202, Porto Alegre, 90035-003, Brazil
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil
| | - Andrea Jackowski
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil
- Departamento de Psiquiatria, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Marcelo Queiroz Hoexter
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil
- Departamento de Psiquiatria, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Gareth Barker
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jean-Luc Martinot
- Institut National de La Santé Et de La Recherche Médicale, INSERM Unit 1000 "Neuroimaging and Psychiatry", University Paris Saclay, University Paris Descartes, Paris, France
| | - Marie Laure Paillère Martinot
- Institut National de La Santé Et de La Recherche Médicale, INSERM Unit 1000 "Neuroimaging and Psychiatry", University Paris Saclay, University Paris Descartes, Paris, France
| | - Theodore Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Luis Augusto Rohde
- Section On Negative Affect and Social Processes, Departamento de Psiquiatria e Medicina Legal, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Ramiro Barcelos, 2350, Room 2202, Porto Alegre, 90035-003, Brazil
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil
| | | | - Edward Dylan Barker
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giovanni Abrahão Salum
- Section On Negative Affect and Social Processes, Departamento de Psiquiatria e Medicina Legal, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Ramiro Barcelos, 2350, Room 2202, Porto Alegre, 90035-003, Brazil
- National Institute of Developmental Psychiatry (INPD, CNPq), São Paulo, Brazil
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12
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Shadrin AA, Kaufmann T, van der Meer D, Palmer CE, Makowski C, Loughnan R, Jernigan TL, Seibert TM, Hagler DJ, Smeland OB, Motazedi E, Chu Y, Lin A, Cheng W, Hindley G, Thompson WK, Fan CC, Holland D, Westlye LT, Frei O, Andreassen OA, Dale AM. Vertex-wise multivariate genome-wide association study identifies 780 unique genetic loci associated with cortical morphology. Neuroimage 2021; 244:118603. [PMID: 34560273 PMCID: PMC8785963 DOI: 10.1016/j.neuroimage.2021.118603] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/30/2021] [Accepted: 09/18/2021] [Indexed: 01/26/2023] Open
Abstract
Brain morphology has been shown to be highly heritable, yet only a small portion of the heritability is explained by the genetic variants discovered so far. Here we extended the Multivariate Omnibus Statistical Test (MOSTest) and applied it to genome-wide association studies (GWAS) of vertex-wise structural magnetic resonance imaging (MRI) cortical measures from N=35,657 participants in the UK Biobank. We identified 695 loci for cortical surface area and 539 for cortical thickness, in total 780 unique genetic loci associated with cortical morphology robustly replicated in 8,060 children of mixed ethnicity from the Adolescent Brain Cognitive Development (ABCD) Study®. This reflects more than 8-fold increase in genetic discovery at no cost to generalizability compared to the commonly used univariate GWAS methods applied to region of interest (ROI) data. Functional follow up including gene-based analyses implicated 10% of all protein-coding genes and pointed towards pathways involved in neurogenesis and cell differentiation. Power analysis indicated that applying the MOSTest to vertex-wise structural MRI data triples the effective sample size compared to conventional univariate GWAS approaches. The large boost in power obtained with the vertex-wise MOSTest together with pronounced replication rates and highlighted biologically meaningful pathways underscores the advantage of multivariate approaches in the context of highly distributed polygenic architecture of the human brain.
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Affiliation(s)
- Alexey A. Shadrin
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Corresponding authors: Alexey A. Shadrin, , NORMENT Centre, Building 48, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 922 57 686; Ole A. Andreassen, , NORMENT Centre, Building 49, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 23 02 73 50 (22 11 78 43 dir), Fax: +47 23 02 73 33; Anders M. Dale, , Center for Translational Imaging and Precision Medicine, Center for Multimodal Imaging and Genetics, Dept. of Neuroscience and Radiology, University of California San Diego, 9452 Medical Center Dr, La Jolla, CA 92037, United States, Tel: (858) 822-6671, Fax: (858) 534-1078
| | - Tobias Kaufmann
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dennis van der Meer
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, The Netherlands
| | - Clare E. Palmer
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Robert Loughnan
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92037, USA
| | - Terry L. Jernigan
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA,Center for Human Development, University of California San Diego, La Jolla, CA 92037, USA,Department of Cognitive Science, University of California San Diego, La Jolla, CA 92037, USA
| | - Tyler M. Seibert
- Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA,Department of Bioengineering, University of California San Diego, La Jolla, CA 92037, USA,Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA 92037, USA
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Olav B. Smeland
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ehsan Motazedi
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Yunhan Chu
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Aihua Lin
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Weiqiu Cheng
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Guy Hindley
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Wesley K. Thompson
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA 92037, USA
| | - Chun C. Fan
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Dominic Holland
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92037, USA,Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Lars T. Westlye
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A. Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Corresponding authors: Alexey A. Shadrin, , NORMENT Centre, Building 48, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 922 57 686; Ole A. Andreassen, , NORMENT Centre, Building 49, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 23 02 73 50 (22 11 78 43 dir), Fax: +47 23 02 73 33; Anders M. Dale, , Center for Translational Imaging and Precision Medicine, Center for Multimodal Imaging and Genetics, Dept. of Neuroscience and Radiology, University of California San Diego, 9452 Medical Center Dr, La Jolla, CA 92037, United States, Tel: (858) 822-6671, Fax: (858) 534-1078
| | - Anders M. Dale
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Neurosciences, University of California San Diego, La Jolla, CA 92037, USA,Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA,Corresponding authors: Alexey A. Shadrin, , NORMENT Centre, Building 48, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 922 57 686; Ole A. Andreassen, , NORMENT Centre, Building 49, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 23 02 73 50 (22 11 78 43 dir), Fax: +47 23 02 73 33; Anders M. Dale, , Center for Translational Imaging and Precision Medicine, Center for Multimodal Imaging and Genetics, Dept. of Neuroscience and Radiology, University of California San Diego, 9452 Medical Center Dr, La Jolla, CA 92037, United States, Tel: (858) 822-6671, Fax: (858) 534-1078
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13
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Gilmore AD, Buser NJ, Hanson JL. Variations in structural MRI quality significantly impact commonly used measures of brain anatomy. Brain Inform 2021; 8:7. [PMID: 33860392 PMCID: PMC8050166 DOI: 10.1186/s40708-021-00128-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 03/29/2021] [Indexed: 11/10/2022] Open
Abstract
Subject motion can introduce noise into neuroimaging data and result in biased estimations of brain structure. In-scanner motion can compromise data quality in a number of ways and varies widely across developmental and clinical populations. However, quantification of structural image quality is often limited to proxy or indirect measures gathered from functional scans; this may be missing true differences related to these potential artifacts. In this study, we take advantage of novel informatic tools, the CAT12 toolbox, to more directly measure image quality from T1-weighted images to understand if these measures of image quality: (1) relate to rigorous quality-control checks visually completed by human raters; (2) are associated with sociodemographic variables of interest; (3) influence regional estimates of cortical surface area, cortical thickness, and subcortical volumes from the commonly used Freesurfer tool suite. We leverage public-access data that includes a community-based sample of children and adolescents, spanning a large age-range (N = 388; ages 5-21). Interestingly, even after visually inspecting our data, we find image quality significantly impacts derived cortical surface area, cortical thickness, and subcortical volumes from multiple regions across the brain (~ 23.4% of all areas investigated). We believe these results are important for research groups completing structural MRI studies using Freesurfer or other morphometric tools. As such, future studies should consider using measures of image quality to minimize the influence of this potential confound in group comparisons or studies focused on individual differences.
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Affiliation(s)
- Alysha D Gilmore
- Learning Research & Development Center, University of Pittsburgh, 3939 O'Hara Street, Pittsburgh, PA, 15260, USA
| | - Nicholas J Buser
- Learning Research & Development Center, University of Pittsburgh, 3939 O'Hara Street, Pittsburgh, PA, 15260, USA
| | - Jamie L Hanson
- Learning Research & Development Center, University of Pittsburgh, 3939 O'Hara Street, Pittsburgh, PA, 15260, USA.
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14
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Novén M, Schremm A, Horne M, Roll M. Cortical thickness and surface area of left anterior temporal areas affects processing of phonological cues to morphosyntax. Brain Res 2020; 1750:147150. [PMID: 33039411 DOI: 10.1016/j.brainres.2020.147150] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 09/04/2020] [Accepted: 10/05/2020] [Indexed: 11/26/2022]
Abstract
Lack of methods to experimentally assess the perceptual processing of sound features and allow one to measure differences in phonological proficiency has been a limitation for speech processing studies in native speakers. Tonal features associated with Swedish word-stems, word accents, which cue grammatical suffixes, constitute, however, such sound features that can be exploited to generate measures of reliance on morphosyntactically relevant phonological information during word processing. Specifically, there is a natural variance between native speakers in response time (RT) difference between phonologically valid and invalid word accent-suffix combinations that can be used to quantify perceptual phonological proficiency. This study uses ultra-high field magnetic resonance imaging (MRI) to investigate word accents as phonological cues to morphosyntactic meaning. The study adds to the understanding of the neural basis for both morphosyntactically relevant phonological cues by reporting correlations between differences in listeners' RT for validly and invalidly cued suffixes and cortical thickness in left anterior and middle temporal gyrus, and the left anterior superior temporal sulcus as well as cortical surface area in the left middle and inferior temporal gyri. The cortical areas studied are known constituents of the ventral speech processing stream, necessary for word and phrase recognition.
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Affiliation(s)
- Mikael Novén
- Centre for Languages and Literature, Lund University, Box 201 221 00, Lund, Sweden.
| | - Andrea Schremm
- Centre for Languages and Literature, Lund University, Box 201 221 00, Lund, Sweden
| | - Merle Horne
- Centre for Languages and Literature, Lund University, Box 201 221 00, Lund, Sweden
| | - Mikael Roll
- Centre for Languages and Literature, Lund University, Box 201 221 00, Lund, Sweden
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15
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Rapado-Castro M, Whittle S, Pantelis C, Thompson A, Nelson B, Ganella EP, Lin A, Reniers RLEP, McGorry PD, Yung AR, Wood SJ, Bartholomeusz CF. Does cortical brain morphology act as a mediator between childhood trauma and transition to psychosis in young individuals at ultra-high risk? Schizophr Res 2020; 224:116-25. [PMID: 33071072 DOI: 10.1016/j.schres.2020.09.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 06/30/2020] [Accepted: 09/23/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Childhood trauma, particularly sexual abuse, has been associated with transition to psychosis in individuals at "ultra-high risk" (UHR). This study investigated whether the effects of various forms of childhood trauma on transition to psychosis are mediated by cortical thickness and surface area abnormalities. METHODS This prospective study used data from 62 UHR individuals from a previous (PACE 400) cohort study. At follow-up, 24 individuals had transitioned to psychosis (UHR-T) and 38 individuals had not transitioned (UHR-NT). Student-t/Mann-Whitney-U tests were performed to assess morphological differences in childhood trauma (low/high) and transition. Mediation analyses were conducted using regression and bootstrapping techniques. RESULTS UHR individuals with high sexual trauma histories presented with decreased cortical thickness in bilateral middle temporal gyri and the left superior frontal gyrus compared to those with low sexual trauma. Participants with high physical abuse had increased cortical thickness in the right middle frontal gyrus compared to those with low physical abuse. No differences were found for emotional abuse or physical/emotional neglect. Reduced cortical thickness in the right middle temporal gyrus and increased surface area in the right cingulate were found in UHR-T compared to UHR-NT individuals. Sexual abuse had an indirect effect on transition to psychosis, where decreased cortical thickness in the right middle temporal gyrus was a mediator. CONCLUSIONS Results suggest that childhood sexual abuse negatively impacted on cortical development of the right temporal gyrus, and this heightened the risk of transition to psychosis in our sample. Further longitudinal studies are needed to precisely understand this link.
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16
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Ma D, Cardoso MJ, Zuluaga MA, Modat M, Powell NM, Wiseman FK, Cleary JO, Sinclair B, Harrison IF, Siow B, Popuri K, Lee S, Matsubara JA, Sarunic MV, Beg MF, Tybulewicz VLJ, Fisher EMC, Lythgoe MF, Ourselin S. Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI. Neuroimage 2020; 223:117271. [PMID: 32835824 PMCID: PMC8417772 DOI: 10.1016/j.neuroimage.2020.117271] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/03/2020] [Accepted: 08/10/2020] [Indexed: 12/18/2022] Open
Abstract
Down Syndrome is a chromosomal disorder that affects the development of cerebellar cortical lobules. Impaired neurogenesis in the cerebellum varies among different types of neuronal cells and neuronal layers. In this study, we developed an imaging analysis framework that utilizes gadolinium-enhanced ex vivo mouse brain MRI. We extracted the middle Purkinje layer of the mouse cerebellar cortex, enabling the estimation of the volume, thickness, and surface area of the entire cerebellar cortex, the internal granular layer, and the molecular layer in the Tc1 mouse model of Down Syndrome. The morphometric analysis of our method revealed that a larger proportion of the cerebellar thinning in this model of Down Syndrome resided in the inner granule cell layer, while a larger proportion of the surface area shrinkage was in the molecular layer.
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Affiliation(s)
- Da Ma
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Centre for Advanced Biomedical Imaging, University College London, United Kingdom; School of Engineering Science, Simon Fraser University, Burnaby, Canada.
| | - Manuel J Cardoso
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Maria A Zuluaga
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Data Science Department, EURECOM, France
| | - Marc Modat
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Nick M Powell
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Centre for Advanced Biomedical Imaging, University College London, United Kingdom
| | - Frances K Wiseman
- UK Dementia Research Institute at University College London, UK London; Down Syndrome Consortium (LonDownS), London, United Kingdom
| | - Jon O Cleary
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom; Department of Radiology, Guy´s and St Thomas' NHS Foundation Trust, United Kingdom; Melbourne Brain Centre Imaging Unit, Department of Medicine and Radiology, University of Melbourne, Melbourne, Australia
| | - Benjamin Sinclair
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom
| | - Ian F Harrison
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom
| | - Bernard Siow
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom; The Francis Crick Institute, London, United Kingdom
| | - Karteek Popuri
- School of Engineering Science, Simon Fraser University, Burnaby, Canada
| | - Sieun Lee
- School of Engineering Science, Simon Fraser University, Burnaby, Canada
| | - Joanne A Matsubara
- Department of Ophthalmology & Visual Science, University of British Columbia, Vancouver, Canada
| | - Marinko V Sarunic
- School of Engineering Science, Simon Fraser University, Burnaby, Canada
| | - Mirza Faisal Beg
- School of Engineering Science, Simon Fraser University, Burnaby, Canada
| | - Victor L J Tybulewicz
- The Francis Crick Institute, London, United Kingdom; Department of Immunology and Inflammation, Imperial College, London, United Kingdom
| | | | - Mark F Lythgoe
- Centre for Advanced Biomedical Imaging, University College London, United Kingdom
| | - Sebastien Ourselin
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
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17
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Zhang X, Luo Q, Wang S, Qiu L, Pan N, Kuang W, Lui S, Huang X, Yang X, Kemp GJ, Gong Q. Dissociations in cortical thickness and surface area in non-comorbid never-treated patients with social anxiety disorder. EBioMedicine 2020; 58:102910. [PMID: 32739867 PMCID: PMC7393569 DOI: 10.1016/j.ebiom.2020.102910] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/30/2020] [Accepted: 07/10/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Abnormalities of functional activation and cortical volume in brain regions involved in the neurobiology of fear and anxiety have been implicated in the pathophysiology of social anxiety disorder (SAD). However, few studies have performed separate measurements of cortical thickness (CT) and cortical surface area (CSA) which reflect different neurobiological processes. Thus, we aimed to explore the cortical morphological anomaly separately in SAD using FreeSurfer. METHODS High-resolution structural magnetic resonance images were obtained from 32 non-comorbid never-treated adult SAD patients and 32 demography-matched healthy controls. Cortical morphometry indices including CT and CSA were separately determined by FreeSurfer and compared between the two groups via whole-brain vertex-wise analysis, while partial correlation analysis using age and gender as covariates were conducted. FINDINGS The patients with SAD showed decreased CT but increased CSA near-symmetrically in the bilateral prefrontal cortex (PFC) of the dorsolateral, dorsomedial, and ventromedial subdivisions, as well as the right lateral orbitofrontal cortex; increased CSA in the left superior temporal gyrus (STG) was also observed in SAD. The CSA in the left PFC was negatively correlated with the disease duration. INTERPRETATION As the balloon model hypothesis suggests that the tangentially stretched cortex may cause dissociations in cortical morphometry and affect the cortical capacity for information processing, our findings of dissociated morphological alterations in the PFC and cortical expansion in the STG may reflect the morphological alterations of the functional reorganization in those regions, and highlight the important role of those structures in the pathophysiology and neurobiology of SAD. FUNDING This study was funded by the National Natural Science Foundation of China (Grant Nos. 31700964, 31800963, 81621003, and 81820108018).
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Affiliation(s)
- Xun Zhang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu 610041, China
| | - Qiang Luo
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu 610041, China
| | - Song Wang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu 610041, China
| | - Lihua Qiu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu 610041, China; Department of Radiology, The Second People's Hospital of Yibin, Yibin 644000, China
| | - Nanfang Pan
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu 610041, China
| | - Weihong Kuang
- Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital of Sichuan University, Chengdu 610041, PR, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xun Yang
- School of Public Affairs, Chongqing University, Chongqing 400044, China.
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu 610041, China; Department of Psychology, School of Public Administration, Sichuan University, Chengdu 610041, China.
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18
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Wedderburn CJ, Subramoney S, Yeung S, Fouche JP, Joshi SH, Narr KL, Rehman AM, Roos A, Ipser J, Robertson FC, Groenewold NA, Gibb DM, Zar HJ, Stein DJ, Donald KA. Neuroimaging young children and associations with neurocognitive development in a South African birth cohort study. Neuroimage 2020; 219:116846. [PMID: 32304884 PMCID: PMC7443699 DOI: 10.1016/j.neuroimage.2020.116846] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 02/14/2020] [Accepted: 04/06/2020] [Indexed: 11/25/2022] Open
Abstract
Magnetic resonance imaging (MRI) is an indispensable tool for investigating brain development in young children and the neurobiological mechanisms underlying developmental risk and resilience. Sub-Saharan Africa has the highest proportion of children at risk of developmental delay worldwide, yet in this region there is very limited neuroimaging research focusing on the neurobiology of such impairment. Furthermore, paediatric MRI imaging is challenging in any setting due to motion sensitivity. Although sedation and anesthesia are routinely used in clinical practice to minimise movement in young children, this may not be ethical in the context of research. Our study aimed to investigate the feasibility of paediatric multimodal MRI at age 2–3 years without sedation, and to explore the relationship between cortical structure and neurocognitive development at this understudied age in a sub-Saharan African setting. A total of 239 children from the Drakenstein Child Health Study, a large observational South African birth cohort, were recruited for neuroimaging at 2–3 years of age. Scans were conducted during natural sleep utilising locally developed techniques. T1-MEMPRAGE and T2-weighted structural imaging, resting state functional MRI, diffusion tensor imaging and magnetic resonance spectroscopy sequences were included. Child neurodevelopment was assessed using the Bayley-III Scales of Infant and Toddler Development. Following 23 pilot scans, 216 children underwent scanning and T1-weighted images were obtained from 167/216 (77%) of children (median age 34.8 months). Furthermore, we found cortical surface area and thickness within frontal regions were associated with cognitive development, and in temporal and frontal regions with language development (beta coefficient ≥0.20). Overall, we demonstrate the feasibility of carrying out a neuroimaging study of young children during natural sleep in sub-Saharan Africa. Our findings indicate that dynamic morphological changes in heteromodal association regions are associated with cognitive and language development at this young age. These proof-of-concept analyses suggest similar links between the brain and cognition as prior literature from high income countries, enhancing understanding of the interplay between cortical structure and function during brain maturation. MRI data are challenging to acquire in the early years of life. Paediatric MRI without sedation is feasible in sub-Saharan Africa, with 77% success. The Drakenstein Child Health study has novel MRI data of South African children. Morphological features of the cortex associate with neurocognitive development. Structure-cognition relationships in heteromodal association regions at 2–3 years.
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Affiliation(s)
- Catherine J Wedderburn
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, South Africa; Department of Clinical Research, London School of Hygiene & Tropical Medicine, UK; Neuroscience Institute, University of Cape Town, South Africa.
| | - Sivenesi Subramoney
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, South Africa
| | - Shunmay Yeung
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, UK
| | | | - Shantanu H Joshi
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, CA, USA
| | - Katherine L Narr
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, CA, USA
| | - Andrea M Rehman
- MRC Tropical Epidemiology Group, London School of Hygiene & Tropical Medicine, London, UK
| | - Annerine Roos
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, South Africa; Neuroscience Institute, University of Cape Town, South Africa; SU/UCT MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, South Africa
| | - Jonathan Ipser
- Neuroscience Institute, University of Cape Town, South Africa; Department of Psychiatry, University of Cape Town, South Africa
| | - Frances C Robertson
- Division of Biomedical Engineering, Department of Human Biology, University of Cape Town, South Africa; Cape Universities Brain Imaging Centre (CUBIC), Cape Town, South Africa
| | - Nynke A Groenewold
- Neuroscience Institute, University of Cape Town, South Africa; Department of Psychiatry, University of Cape Town, South Africa
| | - Diana M Gibb
- MRC Clinical Trials Unit, University College, London, UK
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, South Africa; SAMRC Unit on Child & Adolescent Health, University of Cape Town, South Africa
| | - Dan J Stein
- Neuroscience Institute, University of Cape Town, South Africa; Department of Psychiatry, University of Cape Town, South Africa; SU/UCT MRC Unit on Risk and Resilience in Mental Disorders, University of Cape Town, South Africa
| | - Kirsten A Donald
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, South Africa; Neuroscience Institute, University of Cape Town, South Africa
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19
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Neilson E, Shen X, Cox SR, Clarke TK, Wigmore EM, Gibson J, Howard DM, Adams MJ, Harris MA, Davies G, Deary IJ, Whalley HC, McIntosh AM, Lawrie SM. Impact of Polygenic Risk for Schizophrenia on Cortical Structure in UK Biobank. Biol Psychiatry 2019; 86:536-544. [PMID: 31171358 DOI: 10.1016/j.biopsych.2019.04.013] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 04/05/2019] [Accepted: 04/05/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Schizophrenia is a neurodevelopmental disorder with many genetic variants of individually small effect contributing to phenotypic variation. Lower cortical thickness (CT), surface area, and cortical volume have been demonstrated in people with schizophrenia. Furthermore, a range of obstetric complications (e.g., lower birth weight) are consistently associated with an increased risk for schizophrenia. We investigated whether a high polygenic risk score for schizophrenia (PGRS-SCZ) is associated with CT, surface area, and cortical volume in UK Biobank, a population-based sample, and tested for interactions with birth weight. METHODS Data were available for 2864 participants (nmale/nfemale = 1382/1482; mean age = 62.35 years, SD = 7.40). Linear mixed models were used to test for associations among PGRS-SCZ and cortical volume, surface area, and CT and between PGRS-SCZ and birth weight. Interaction effects of these variables on cortical structure were also tested. RESULTS We found a significant negative association between PGRS-SCZ and global CT; a higher PGRS-SCZ was associated with lower CT across the whole brain. We also report a significant negative association between PGRS-SCZ and insular lobe CT. PGRS-SCZ was not associated with birth weight and no PGRS-SCZ × birth weight interactions were found. CONCLUSIONS These results suggest that individual differences in CT are partly influenced by genetic variants and are most likely not due to factors downstream of disease onset. This approach may help to elucidate the genetic pathophysiology of schizophrenia. Further investigation in case-control and high-risk samples could help identify any localized effects of PGRS-SCZ, and other potential schizophrenia risk factors, on CT as symptoms develop.
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Affiliation(s)
- Emma Neilson
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK.
| | - Xueyi Shen
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | | | - Jude Gibson
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - David M Howard
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - Mark J Adams
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - Mat A Harris
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | | | - Andrew M McIntosh
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK; The Patrick Wild Centre, Royal Edinburgh Hospital, Edinburgh, UK
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20
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Molent C, Maggioni E, Cecchetto F, Garzitto M, Piccin S, Bonivento C, Maieron M, D'Agostini S, Balestrieri M, Perna G, Altamura AC, Brambilla P. Reduced cortical thickness and increased gyrification in generalized anxiety disorder: a 3 T MRI study. Psychol Med 2018; 48:2001-2010. [PMID: 29239286 DOI: 10.1017/s003329171700352x] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Although the study of the neuroanatomical correlates of generalized anxiety disorder (GAD) is gaining increasing interest, up to now the cortical anatomy of GAD patients has been poorly investigated and still no data on cortical gyrification are available. The aim of the present study is to quantitatively examine the cortical morphology in patients with GAD compared with healthy controls (HC) using magnetic resonance imaging (MRI). To the best of our knowledge, this is the first study analyzing the gyrification patterns in GAD. METHODS A total of 31 GAD patients and 31 HC underwent 3 T structural MRI. For each subject, cortical surface area (CSA), cortical thickness (CT), gray matter volume (GMV), and local gyrification index (LGI) were estimated in 19 regions of interest using the Freesurfer software. These parameters were then compared between the two groups using General Linear Model designs. RESULTS Compared with HC, GAD patients showed: (1) reduced CT in right caudal middle frontal gyrus (p < 0.05, Bonferroni corrected), (2) hyper-gyrification in right fusiform, inferior temporal, superior parietal and supramarginal gyri and in left supramarginal and superior frontal gyri (p < 0.05, Bonferroni corrected). No significant alterations in CSA and GMV were observed. CONCLUSIONS Our findings support the hypothesis of a neuroanatomical basis for GAD, highlighting a possible key role of the right hemisphere. The alterations of CT and gyrification in GAD suggest a neurodevelopmental origin of the disorder. Further studies on GAD are needed to understand the evolution of the cerebral morphology with age and during the clinical course of the illness.
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Affiliation(s)
- Cinzia Molent
- Unit of Psychiatry, Department of Medicine (DAME),University of Udine,Udine,Italy
| | - Eleonora Maggioni
- Department of Neurosciences and Mental Health,IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico,University of Milan,Milan,Italy
| | - Filippo Cecchetto
- Unit of Psychiatry, Department of Medicine (DAME),University of Udine,Udine,Italy
| | - Marco Garzitto
- Scientific Institute IRCCS 'Eugenio Medea',Polo FVG, San Vito al Tagliamento, Pordenone,Italy
| | - Sara Piccin
- Scientific Institute IRCCS 'Eugenio Medea',Polo FVG, San Vito al Tagliamento, Pordenone,Italy
| | - Carolina Bonivento
- Unit of Psychiatry, Department of Medicine (DAME),University of Udine,Udine,Italy
| | - Marta Maieron
- Department of Physics,Azienda Ospedaliero Universitaria 'S.Maria della Misericordia',Udine,Italy
| | - Serena D'Agostini
- Department of Neuroradiology,Azienda Ospedaliero Universitaria 'S.Maria della Misericordia',Udine,Italy
| | - Matteo Balestrieri
- Unit of Psychiatry, Department of Medicine (DAME),University of Udine,Udine,Italy
| | - Giampaolo Perna
- Department of Clinical Neurosciences,Villa San Benedetto Menni, Hermanas Hospitalarias,FoRiPsi, Albese con Cassano, Como,Italy
| | - A Carlo Altamura
- Department of Neurosciences and Mental Health,IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico,University of Milan,Milan,Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health,IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico,University of Milan,Milan,Italy
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21
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Vuoksimaa E, Panizzon MS, Franz CE, Fennema-Notestine C, Hagler DJ Jr, Lyons MJ, Dale AM, Kremen WS. Brain structure mediates the association between height and cognitive ability. Brain Struct Funct 2018; 223:3487-94. [PMID: 29748873 DOI: 10.1007/s00429-018-1675-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 04/28/2018] [Indexed: 01/30/2023]
Abstract
Height and general cognitive ability are positively associated, but the underlying mechanisms of this relationship are not well understood. Both height and general cognitive ability are positively associated with brain size. Still, the neural substrate of the height-cognitive ability association is unclear. We used a sample of 515 middle-aged male twins with structural magnetic resonance imaging data to investigate whether the association between height and cognitive ability is mediated by cortical size. In addition to cortical volume, we used genetically, ontogenetically and phylogenetically distinct cortical metrics of total cortical surface area and mean cortical thickness. Height was positively associated with general cognitive ability and total cortical volume and cortical surface area, but not with mean cortical thickness. Mediation models indicated that the well-replicated height-general cognitive ability association is accounted for by individual differences in total cortical volume and cortical surface area (highly heritable metrics related to global brain size), and that the genetic association between cortical surface area and general cognitive ability underlies the phenotypic height-general cognitive ability relationship.
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22
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Miles AE, Voineskos AN, French L, Kaplan AS. Subcortical volume and cortical surface architecture in women with acute and remitted anorexia nervosa: An exploratory neuroimaging study. J Psychiatr Res 2018; 102:179-85. [PMID: 29680574 DOI: 10.1016/j.jpsychires.2018.04.010] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 04/08/2018] [Accepted: 04/12/2018] [Indexed: 01/23/2023]
Abstract
BACKGROUND Anorexia nervosa (AN) is a highly heritable psychiatric disorder characterized by starvation and emaciation and associated with changes in brain structure. The precise nature of these changes remains unclear, as does their developmental time course and capacity for reversal with weight-restoration. In this comprehensive neuroimaging study, we sought to characterize these changes by measuring subcortical volume and cortical surface architecture in women with acute and remitted AN. METHODS Structural magnetic resonance imaging data was acquired from underweight women with a current diagnosis of AN (acAN: n = 23), weight-recovered women with a past diagnosis of AN (recAN: n = 24), and female controls (HC: n = 24). Subcortical segmentation and cortical surface reconstruction were performed with FreeSurfer 6.0.0, and group differences in regional volume and vertex-wise, cortex-wide thickness, surface area, and local gyrification index (LGI), a measure of folding, were tested with separate univariate analyses of covariance. RESULTS Mean hippocampal and thalamic volumes were significantly reduced in acAN participants, as was mean cortical thickness in four frontal and temporal clusters. Mean LGI was significantly reduced in acAN and recAN participants in five frontal and parietal clusters. No significant group differences in cortical surface area were detected. CONCLUSIONS Reductions in subcortical volume, cortical thickness, and right postcentral LGI were unique to women with acute AN, indicating state-dependence and pointing towards cellular remodeling and sulcal widening as consequences of disease manifestation. Reductions in bilateral frontal LGI were observed in women with acute and remitted AN, suggesting a role of atypical neurodevelopment in disease vulnerability.
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23
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Mürner-Lavanchy I, Rummel C, Steinlin M, Everts R. Cortical morphometry and cognition in very preterm and term-born children at early school age. Early Hum Dev 2018; 116:53-63. [PMID: 29179056 DOI: 10.1016/j.earlhumdev.2017.11.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 11/15/2017] [Accepted: 11/16/2017] [Indexed: 11/18/2022]
Abstract
Very preterm birth influences brain development and may result in alterations of cortical morphometry. These structural alterations may interact with cognitive development. The aim of the present study was to investigate the structure-function relationship in school-aged very preterm and term-born control children. A comprehensive neuropsychological test battery was administered to 41 very preterm (<32 weeks of gestation) and 30 term-born control children aged seven to twelve years. The automated method FreeSurfer was used to obtain cortical thickness and cortical surface area measures from T1-weighted MRI images. Regional cortical thickness differed between groups but differences disappeared when controlling for age. Global cortical thickness differed between groups in the right hemisphere (very preterm children>controls). No group differences occurred for cortical surface area. The relationship between cortical morphometry and cognition differed between very preterm and control children. In very preterm children, some cognitive domains correlated positively and others negatively with regional cortical thickness and cortical surface area. Our findings contribute to the understanding of the structure-function relationship in very preterm children and their term-born peers. They add to the notion that this relationship varies depending on the brain region and the cognitive function in question and suggest developmental differences between very preterm and term-born children.
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Affiliation(s)
- Ines Mürner-Lavanchy
- Division of Neuropediatrics, Development and Rehabilitation, Children's University Hospital, Inselspital, Bern University Hospital, University of Bern, Switzerland; Support Center for Advanced Neuroimaging (SCAN), University Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
| | - Christian Rummel
- Support Center for Advanced Neuroimaging (SCAN), University Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Maja Steinlin
- Division of Neuropediatrics, Development and Rehabilitation, Children's University Hospital, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Regula Everts
- Division of Neuropediatrics, Development and Rehabilitation, Children's University Hospital, Inselspital, Bern University Hospital, University of Bern, Switzerland; Support Center for Advanced Neuroimaging (SCAN), University Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Switzerland
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24
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Newman E, Jernigan TL, Lisdahl KM, Tamm L, Tapert SF, Potkin SG, Mathalon D, Molina B, Bjork J, Castellanos FX, Swanson J, Kuperman JM, Bartsch H, Chen CH, Dale AM, Epstein JN. Go/No Go task performance predicts cortical thickness in the caudal inferior frontal gyrus in young adults with and without ADHD. Brain Imaging Behav 2017; 10:880-92. [PMID: 26404018 DOI: 10.1007/s11682-015-9453-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Response inhibition deficits are widely believed to be at the core of Attention-Deficit Hyperactivity Disorder (ADHD). Several studies have examined neural architectural correlates of ADHD, but research directly examining structural correlates of response inhibition is lacking. Here we examine the relationship between response inhibition as measured by a Go/No Go task, and cortical surface area and thickness of the caudal inferior frontal gyrus (cIFG), a region implicated in functional imaging studies of response inhibition, in a sample of 114 young adults with and without ADHD diagnosed initially during childhood. We used multiple linear regression models to test the hypothesis that Go/No Go performance would be associated with cIFG surface area or thickness. Results showed that poorer Go/No Go performance was associated with thicker cIFG cortex, and this effect was not mediated by ADHD status or history of substance use. However, independent of Go/No Go performance, persistence of ADHD symptoms and more frequent cannabis use were associated with thinner cIFG. Go/No Go performance was not associated with cortical surface area. The association between poor inhibitory functioning and thicker cIFG suggests that maturation of this region may differ in low performing participants. An independent association of persistent ADHD symptoms and frequent cannabis use with thinner cIFG cortex suggests that distinct neural mechanisms within this region may play a role in inhibitory function, broader ADHD symptomatology, and cannabis use. These results contribute to Research Domain Criteria (RDoC) by revealing novel associations between neural architectural phenotypes and basic neurobehavioral processes measured dimensionally.
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Affiliation(s)
- Erik Newman
- Center for Human Development, University of California, 9500 Gilman Drive, MC 0115, La Jolla, CA, 92093, USA.
| | - Terry L Jernigan
- Center for Human Development, University of California, 9500 Gilman Drive, MC 0115, La Jolla, CA, 92093, USA.,Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA.,Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Krista M Lisdahl
- Department of Psychology, University of Wisconsin Milwaukee, Milwaukee, WI, USA
| | - Leanne Tamm
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Susan F Tapert
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Steven G Potkin
- Department of Psychiatry, University of California, Irvine, Irvine, CA, USA
| | - Daniel Mathalon
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Brooke Molina
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - James Bjork
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - F Xavier Castellanos
- Department of Child and Adolescent Psychiatry, Child Study Center at NYU Langone Medical Center, New York, NY, USA.,Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - James Swanson
- The Child Development Center, University of California, Irvine, Irvine, CA, USA
| | - Joshua M Kuperman
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA.,Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA
| | - Hauke Bartsch
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA
| | - Chi-Hua Chen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA
| | - Anders M Dale
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, University of California, San Diego, La Jolla, CA, USA.,Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA.,Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Jeffery N Epstein
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
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25
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Curley LB, Newman E, Thompson WK, Brown TT, Hagler DJ, Akshoomoff N, Reuter C, Dale AM, Jernigan TL. Cortical morphology of the pars opercularis and its relationship to motor-inhibitory performance in a longitudinal, developing cohort. Brain Struct Funct 2017; 223:211-220. [PMID: 28756486 PMCID: PMC5772141 DOI: 10.1007/s00429-017-1480-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 07/18/2017] [Indexed: 10/29/2022]
Abstract
This study investigates the relationship between variability in cortical surface area and thickness of the pars opercularis of the inferior frontal gyrus and motor-inhibitory performance on a stop-signal task in a longitudinal, typically developing cohort of children and adolescents. Linear mixed-effects models were used to investigate the hypotheses that (1) cortical thinning and (2) a relatively larger cortical surface area of the bilateral pars opercularis of the inferior frontal gyrus would predict better performance on the stop-signal task in a cohort of 110 children and adolescents 4-13 years of age, with one to four observations (totaling 232 observations). Cortical thickness of the bilateral opercular region was not related to inhibitory performance. However, independent of age, gender, and total cortical surface area, relatively larger cortical surface area of the bilateral opercular region of the inferior frontal gyrus was associated with better motor-inhibitory performance. Follow-up analyses showed a significant effect of surface area of the right pars opercularis, but no evidence for an effect of area of left pars opercularis, on motor-inhibitory performance. These findings are consistent with the previous work in adults showing that cortical morphology of the pars opercularis is related to inhibitory functioning. It also expands upon this literature by showing that, in contrast to earlier work highlighting the importance of cortical thickness of this region in adults, relative cortical surface area of the pars opercularis may be related to developing motor-inhibitory functions during childhood and adolescence. Relationships between cortical phenotypes and individual differences in behavioral measures may vary across the lifespan.
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Affiliation(s)
- Lauren B Curley
- Department of Cognitive Science, University of California, San Diego, La Jolla, USA
| | - Erik Newman
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA
| | - Wesley K Thompson
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA.,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA
| | - Timothy T Brown
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA.,Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, La Jolla, USA.,Department of Neurosciences, University of California, San Diego School of Medicine, La Jolla, USA
| | - Donald J Hagler
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, La Jolla, USA.,Department of Radiology, University of California, San Diego School of Medicine, La Jolla, USA
| | - Natacha Akshoomoff
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA.,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA
| | - Chase Reuter
- Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA
| | - Anders M Dale
- Department of Cognitive Science, University of California, San Diego, La Jolla, USA.,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA.,Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, La Jolla, USA.,Department of Neurosciences, University of California, San Diego School of Medicine, La Jolla, USA.,Department of Radiology, University of California, San Diego School of Medicine, La Jolla, USA
| | - Terry L Jernigan
- Department of Cognitive Science, University of California, San Diego, La Jolla, USA. .,Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA. .,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA. .,Department of Radiology, University of California, San Diego School of Medicine, La Jolla, USA.
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26
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Lu J, Peng B, Saxena A, Zhou Z, Zhou Z, Zhang T, Tong B, Wang S, Dai Y. Examining population differences in cerebral morphometry between Chinese and Indian undergraduate students. Neurosci Lett 2017; 636:290-7. [PMID: 27838451 DOI: 10.1016/j.neulet.2016.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 10/25/2016] [Accepted: 11/08/2016] [Indexed: 11/24/2022]
Abstract
The aim of this study is to examine potential population differences in brain morphometry using magnetic resonance imaging (MRI). Thirty-six Chinese and thirty-two Indian undergraduate students are included in this study. All images are processed using BrainLab toolbox to obtain the morphometric values of gray matter volume, cortical thickness, and cortical surface area in each region of interest (ROI). We use ROI-based analysis to investigate ethnic differences using the three types of measurements. Cerebral variations of the brain between Chinese and Indian groups are mostly distributed in the frontal lobe, temporal lobe, and occipital lobe. Subgroup analysis reveals sex differences between the two groups. Our study demonstrates population-related differences in brain morphometry (gray matter volume, cortical thickness, and cortical surface area) between Chinese and Indian undergraduates.
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27
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Østgård HF, Sølsnes AE, Bjuland KJ, Rimol LM, Martinussen M, Brubakk AM, Håberg AK, Skranes J, Løhaugen GCC. Executive function relates to surface area of frontal and temporal cortex in very-low-birth-weight late teenagers. Early Hum Dev 2016; 95:47-53. [PMID: 26939083 DOI: 10.1016/j.earlhumdev.2016.01.023] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Revised: 01/25/2016] [Accepted: 01/29/2016] [Indexed: 10/22/2022]
Abstract
BACKGROUND Being born with very low birth weight (VLBW; birth weight (BW) ≤1500 g) is associated with increased risk of maldevelopment of the immature brain which may affect neurological functioning. Deficits in attention and executive function problems have been reported in VLBW survivors compared with healthy subjects. AIMS The aim of this study was to evaluate attention and executive functions and to relate the clinical test results to cortical morphometry findings in VLBW young adults compared with term-born controls. STUDY DESIGN Prospective follow-up study of three year cohorts of VLBW and control children from birth to adulthood. OUTCOME MEASURES A comprehensive neuropsychological test battery was administered to 55 VLBW subjects born preterm (mean BW: 1217 g) and 81 term-born controls (mean BW: 3707 g) at age 19-20. Cerebral MRI was successfully obtained in 46 VLBW subjects and 61 controls. The FreeSurfer software package was applied for the cortical analyses based on T1-weighted MRI images. RESULTS The VLBW group obtained inferior scores on 15 of the 29 neuropsychological measures assessing attention and executive function and on both the attention and executive function domain scores. We found positive correlations between the executive function domain score and cortical surface area, especially in the antero-medial frontal and the temporal lobes of the brain in the VLBW group. CONCLUSION Young adults born with VLBW show deficits in attention and executive function compared with controls. The executive problems were related to smaller cortical surface area in brain regions known to be involved in higher order cognitive functioning.
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Affiliation(s)
- Heidi Furre Østgård
- Department of Laboratory Medicine, Children's and Women's Health, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anne Elisabeth Sølsnes
- Department of Laboratory Medicine, Children's and Women's Health, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway.
| | - Knut Jørgen Bjuland
- Department of Laboratory Medicine, Children's and Women's Health, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway
| | - Lars Morten Rimol
- Department of Laboratory Medicine, Children's and Women's Health, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway; Department of Medicine, University of Haw, ai'i, Honolulu, HI, USA
| | - Marit Martinussen
- Department of Laboratory Medicine, Children's and Women's Health, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway; Department of Obstetrics, St Olav University Hospital, Trondheim, Norway
| | - Ann-Mari Brubakk
- Department of Laboratory Medicine, Children's and Women's Health, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway; Department of Pediatrics, St Olav University Hospital, Trondheim, Norway
| | - Asta Kristine Håberg
- Department of Circulation and Medical Imaging, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway; Department of Medical Imaging, St Olav University Hospital, Trondheim, Norway
| | - Jon Skranes
- Department of Laboratory Medicine, Children's and Women's Health, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Gro Christine Christensen Løhaugen
- Department of Laboratory Medicine, Children's and Women's Health, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
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28
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Vuoksimaa E, Panizzon MS, Chen CH, Fiecas M, Eyler LT, Fennema-Notestine C, Hagler DJ, Franz CE, Jak AJ, Lyons MJ, Neale MC, Rinker DA, Thompson WK, Tsuang MT, Dale AM, Kremen WS. Is bigger always better? The importance of cortical configuration with respect to cognitive ability. Neuroimage 2016; 129:356-366. [PMID: 26827810 PMCID: PMC4838639 DOI: 10.1016/j.neuroimage.2016.01.049] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 01/21/2016] [Accepted: 01/22/2016] [Indexed: 02/08/2023] Open
Abstract
General cognitive ability (GCA) has substantial explanatory power for behavioral and health outcomes, but its cortical substrate is still not fully established. GCA is highly polygenic and research to date strongly suggests that its cortical substrate is highly polyregional. We show in map-based and region-of-interest-based analyses of adult twins that a complex cortical configuration underlies GCA. Having relatively greater surface area in evolutionary and developmentally high-expanded prefrontal, lateral temporal, and inferior parietal regions is positively correlated with GCA, whereas relatively greater surface area in low-expanded occipital, medial temporal, and motor cortices is negatively correlated with GCA. Essentially the opposite pattern holds for relative cortical thickness. The phenotypic positive-to-negative gradients in our cortical-GCA association maps were largely driven by a similar pattern of genetic associations. The patterns are consistent with regional cortical stretching whereby relatively greater surface area is related to relatively thinner cortex in high-expanded regions. Thus, the typical "bigger is better" view does not adequately capture cortical-GCA associations. Rather, cognitive ability is influenced by complex configurations of cortical development patterns that are strongly influenced by genetic factors. Optimal cognitive ability appears to be driven both by the absolute size and the polyregional configuration of the entire cortex rather than by small, circumscribed regions.
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Affiliation(s)
- Eero Vuoksimaa
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, CA 92093, USA; Department of Public Health, and Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland.
| | - Matthew S Panizzon
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, CA 92093, USA
| | - Chi-Hua Chen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, CA 92093, USA; Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Mark Fiecas
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, CA 92093, USA
| | - Lisa T Eyler
- Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Donald J Hagler
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Carol E Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, CA 92093, USA
| | - Amy J Jak
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA 92093, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA 23220, USA
| | - Daniel A Rinker
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA; Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, USA
| | - Wesley K Thompson
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, CA 92093, USA
| | - Anders M Dale
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, CA 92093, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA 92093, USA.
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Jernigan TL, Brown TT, Bartsch H, Dale AM. Toward an integrative science of the developing human mind and brain: Focus on the developing cortex. Dev Cogn Neurosci 2016; 18:2-11. [PMID: 26347228 PMCID: PMC4762760 DOI: 10.1016/j.dcn.2015.07.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Revised: 07/17/2015] [Accepted: 07/28/2015] [Indexed: 11/24/2022] Open
Abstract
Based on the Huttenlocher lecture, this article describes the need for a more integrative scientific paradigm for addressing important questions raised by key observations made over 2 decades ago. Among these are the early descriptions by Huttenlocher of variability in synaptic density in cortex of postmortem brains of children of different ages and the almost simultaneous reports of cortical volume reductions on MR imaging in children and adolescents. In spite of much progress in developmental neurobiology, developmental cognitive neuroscience, and behavioral and imaging genetics, we still do not know how these early observations relate to each other. It is argued that large scale, collaborative research programs are needed to establish the associations between behavioral differences among children and imaging biomarkers, and to link the latter to cellular changes in the developing brain. Examples of progress and challenges remaining are illustrated with data from the Pediatric Imaging, Neurocognition, and Genetics Project (PING).
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Affiliation(s)
- Terry L Jernigan
- Center for Human Development, University of California, San Diego, La Jolla, CA, United States; Department of Cognitive Science, University of California, San Diego, La Jolla, CA, United States; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States; Department of Radiology, University of California, San Diego, La Jolla, CA, United States.
| | - Timothy T Brown
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, United States; Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Hauke Bartsch
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, United States
| | - Anders M Dale
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, United States; Department of Radiology, University of California, San Diego, La Jolla, CA, United States; Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, United States; Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
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30
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Maingault S, Tzourio-Mazoyer N, Mazoyer B, Crivello F. Regional correlations between cortical thickness and surface area asymmetries: A surface-based morphometry study of 250 adults. Neuropsychologia 2016; 93:350-364. [PMID: 27020136 DOI: 10.1016/j.neuropsychologia.2016.03.025] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Revised: 03/21/2016] [Accepted: 03/23/2016] [Indexed: 10/22/2022]
Abstract
We report on the patterns of asymmetries of various MRI-derived cortical phenotypes, namely cortical thickness (CT), cortical surface area (CSA), cortical volume (CV) and sulcal depth (SULC), as well as on their cross-relationships. A surface-based approach was designed to obtain cortical asymmetry maps unbiased for inter-hemispheric structural positional misalignment. Accurate vertex-wise asymmetries of CT, CSA, CV, and SULC were so obtained in 250 individuals including 120 left-handers that had been selected from a larger population as having a typical leftward language lateralization. We found no significant effect of handedness on CT, CSA or CV asymmetries, although a trend for a significant difference in the SULC asymmetry of the Rolandic genu was present (leftward in right-handers, rightward in left-handers). At the hemispheric level, we found rightward CT and CSA asymmetries that were not correlated. At the regional level, asymmetry patterns of CT and CSA were marked by a spatial overlap of both concordant and opposite CT and CSA asymmetries. Half of these regions of overlap presented a significant association (positive or negative) between CT and CSA asymmetries. Strikingly, the 3 regions showing positive correlations between CT and CSA asymmetries were those known to exhibit robust asymmetries across methodologies, such as the leftward asymmetrical planum temporale and the rightward asymmetrical superior temporal sulcus and cingulate cortex. This study demonstrates that regional correlations between CT and CSA asymmetries are a characteristic of brain structural organization that could be of significance in the choice of structural markers in studies dealing with the genetic basis of brain lateralization.
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Affiliation(s)
- Sophie Maingault
- Université de Bordeaux, GIN, IMN UMR 5293, Bordeaux, France; Centre National de la Recherche Scientifique, GIN, IMN UMR 5293, Bordeaux, France; CEA, GIN, IMN UMR 5293, Bordeaux, France
| | - Nathalie Tzourio-Mazoyer
- Université de Bordeaux, GIN, IMN UMR 5293, Bordeaux, France; Centre National de la Recherche Scientifique, GIN, IMN UMR 5293, Bordeaux, France; CEA, GIN, IMN UMR 5293, Bordeaux, France
| | - Bernard Mazoyer
- Université de Bordeaux, GIN, IMN UMR 5293, Bordeaux, France; Centre National de la Recherche Scientifique, GIN, IMN UMR 5293, Bordeaux, France; CEA, GIN, IMN UMR 5293, Bordeaux, France
| | - Fabrice Crivello
- Université de Bordeaux, GIN, IMN UMR 5293, Bordeaux, France; Centre National de la Recherche Scientifique, GIN, IMN UMR 5293, Bordeaux, France; CEA, GIN, IMN UMR 5293, Bordeaux, France.
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31
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Román FJ, Lewis LB, Chen CH, Karama S, Burgaleta M, Martínez K, Lepage C, Jaeggi SM, Evans AC, Kremen WS, Colom R. Gray matter responsiveness to adaptive working memory training: a surface-based morphometry study. Brain Struct Funct 2015; 221:4369-4382. [PMID: 26701168 DOI: 10.1007/s00429-015-1168-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 12/01/2015] [Indexed: 10/22/2022]
Abstract
Here we analyze gray matter indices before and after completing a challenging adaptive cognitive training program based on the n-back task. The considered gray matter indices were cortical thickness (CT) and cortical surface area (CSA). Twenty-eight young women (age range 17-22 years) completed 24 training sessions over the course of 3 months (12 weeks, 24 sessions), showing expected performance improvements. CT and CSA values for the training group were compared with those of a matched control group. Statistical analyses were computed using a ROI framework defined by brain areas distinguished by their genetic underpinning. The interaction between group and time was analyzed. Middle temporal, ventral frontal, inferior parietal cortices, and pars opercularis were the regions where the training group showed conservation of gray matter with respect to the control group. These regions support working memory, resistance to interference, and inhibition. Furthermore, an interaction with baseline intelligence differences showed that the expected decreasing trend at the biological level for individuals showing relatively low intelligence levels at baseline was attenuated by the completed training.
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Affiliation(s)
| | - Lindsay B Lewis
- Montreal Neurological Institute (MNI), McGill University, Montreal, Canada
| | | | - Sherif Karama
- Montreal Neurological Institute (MNI), McGill University, Montreal, Canada
| | | | - Kenia Martínez
- Universidad Autónoma de Madrid, 28049, Madrid, Spain.,Hospital Gregorio Marañon, Madrid, Spain
| | - Claude Lepage
- Montreal Neurological Institute (MNI), McGill University, Montreal, Canada
| | | | - Alan C Evans
- Montreal Neurological Institute (MNI), McGill University, Montreal, Canada
| | | | - Roberto Colom
- Universidad Autónoma de Madrid, 28049, Madrid, Spain.
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Ducharme S, Albaugh MD, Nguyen TV, Hudziak JJ, Mateos-Pérez JM, Labbe A, Evans AC, Karama S. Trajectories of cortical surface area and cortical volume maturation in normal brain development. Data Brief 2015; 5:929-38. [PMID: 26702424 PMCID: PMC4669480 DOI: 10.1016/j.dib.2015.10.044] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 10/28/2015] [Accepted: 10/30/2015] [Indexed: 11/28/2022] Open
Abstract
This is a report of developmental trajectories of cortical surface area and cortical volume in the NIH MRI Study of Normal Brain Development. The quality-controlled sample included 384 individual typically-developing subjects with repeated scanning (1–3 per subject, total scans n=753) from 4.9 to 22.3 years of age. The best-fit model (cubic, quadratic, or first-order linear) was identified at each vertex using mixed-effects models, with statistical correction for multiple comparisons using random field theory. Analyses were performed with and without controlling for total brain volume. These data are provided for reference and comparison with other databases. Further discussion and interpretation on cortical developmental trajectories can be found in the associated Ducharme et al.׳s article “Trajectories of cortical thickness maturation in normal brain development – the importance of quality control procedures” (Ducharme et al., 2015) [1].
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Affiliation(s)
- Simon Ducharme
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4 ; McGill University Health Centre, Department of Psychiatry, McGill University, 1025 Pine Avenue West, Montreal, QC, Canada H3A 1A1
| | - Matthew D Albaugh
- Vermont Centre for Children, Youth and Families, Fletcher Allen Pediatric Psychiatry, University of Vermont, 1 South Prospect Street, Arnold, Level 3, Burlington, VT, USA
| | - Tuong-Vi Nguyen
- McGill University Health Centre, Department of Psychiatry, McGill University, 1025 Pine Avenue West, Montreal, QC, Canada H3A 1A1 ; McGill University Health Centre, Department of Obstetrics and Gynecology, McGill University, 1025 Pine Avenue West, Montreal, QC, Canada H3A 1A1
| | - James J Hudziak
- Vermont Centre for Children, Youth and Families, Fletcher Allen Pediatric Psychiatry, University of Vermont, 1 South Prospect Street, Arnold, Level 3, Burlington, VT, USA
| | - J M Mateos-Pérez
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4
| | - Aurelie Labbe
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 Lasalle Boulevard, Verdun, QC, Canada H4H 1R3 ; Douglas Mental Health University Institute, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 6875 Lasalle Boulevard, Verdun, QC, Canada H4H 1R3
| | - Alan C Evans
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4
| | - Sherif Karama
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4 ; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 Lasalle Boulevard, Verdun, QC, Canada H4H 1R3
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Ducharme S, Albaugh MD, Nguyen TV, Hudziak JJ, Mateos-Pérez JM, Labbe A, Evans AC, Karama S. Trajectories of cortical thickness maturation in normal brain development--The importance of quality control procedures. Neuroimage 2015; 125:267-279. [PMID: 26463175 DOI: 10.1016/j.neuroimage.2015.10.010] [Citation(s) in RCA: 189] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 10/02/2015] [Accepted: 10/05/2015] [Indexed: 10/22/2022] Open
Abstract
Several reports have described cortical thickness (CTh) developmental trajectories, with conflicting results. Some studies have reported inverted-U shape curves with peaks of CTh in late childhood to adolescence, while others suggested predominant monotonic decline after age 6. In this study, we reviewed CTh developmental trajectories in the NIH MRI Study of Normal Brain Development, and in a second step, evaluated the impact of post-processing quality control (QC) procedures on identified trajectories. The quality-controlled sample included 384 individual subjects with repeated scanning (1-3 per subject, total scans n=753) from 4.9 to 22.3years of age. The best-fit model (cubic, quadratic, or first-order linear) was identified at each vertex using mixed-effects models. The majority of brain regions showed linear monotonic decline of CTh. There were few areas of cubic trajectories, mostly in bilateral temporo-parietal areas and the right prefrontal cortex, in which CTh peaks were at, or prior to, age 8. When controlling for total brain volume, CTh trajectories were even more uniformly linear. The only sex difference was faster thinning of occipital areas in boys compared to girls. The best-fit model for whole brain mean thickness was a monotonic decline of 0.027mm per year. QC procedures had a significant impact on identified trajectories, with a clear shift toward more complex trajectories (i.e., quadratic or cubic) when including all scans without QC (n=954). Trajectories were almost exclusively linear when using only scans that passed the most stringent QC (n=598). The impact of QC probably relates to decreasing the inclusion of scans with CTh underestimation secondary to movement artifacts, which are more common in younger subjects. In summary, our results suggest that CTh follows a simple linear decline in most cortical areas by age 5, and all areas by age 8. This study further supports the crucial importance of implementing post-processing QC in CTh studies of development, aging, and neuropsychiatric disorders.
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Affiliation(s)
- Simon Ducharme
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada; McGill University Health Centre, Department of Psychiatry, McGill University, 1025 Pine Avenue West, Montreal, QC H3A 1A1, Canada.
| | - Matthew D Albaugh
- Vermont Centre for Children, Youth and Families, Fletcher Allen Pediatric Psychiatry, University of Vermont, 1 South Prospect Street, Arnold, Level 3, Burlington, VT 05401, USA.
| | - Tuong-Vi Nguyen
- McGill University Health Centre, Department of Psychiatry, McGill University, 1025 Pine Avenue West, Montreal, QC H3A 1A1, Canada; McGill University Health Centre, Department of Obstetrics-Gynecology, McGill University, Montreal, QC H3A 1A1, Canada.
| | - James J Hudziak
- Vermont Centre for Children, Youth and Families, Fletcher Allen Pediatric Psychiatry, University of Vermont, 1 South Prospect Street, Arnold, Level 3, Burlington, VT 05401, USA.
| | - J M Mateos-Pérez
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada.
| | - Aurelie Labbe
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 Lasalle Boulevard, Verdun, QC H4H 1R3, Canada; Douglas Mental Health University Institute, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 6875 Lasalle Boulevard, Verdun, QC H4H 1R3, Canada.
| | - Alan C Evans
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada.
| | - Sherif Karama
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 Lasalle Boulevard, Verdun, QC H4H 1R3, Canada.
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Newman E, Thompson WK, Bartsch H, Hagler DJ, Chen CH, Brown TT, Kuperman JM, McCabe C, Chung Y, Libiger O, Akshoomoff N, Bloss CS, Casey BJ, Chang L, Ernst TM, Frazier JA, Gruen JR, Kennedy DN, Murray SS, Sowell ER, Schork N, Kenet T, Kaufmann WE, Mostofsky S, Amaral DG, Dale AM, Jernigan TL. Anxiety is related to indices of cortical maturation in typically developing children and adolescents. Brain Struct Funct 2015; 221:3013-25. [PMID: 26183468 DOI: 10.1007/s00429-015-1085-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Accepted: 07/07/2015] [Indexed: 12/19/2022]
Abstract
Anxiety is a risk factor for many adverse neuropsychiatric and socioeconomic outcomes, and has been linked to functional and structural changes in the ventromedial prefrontal cortex (VMPFC). However, the nature of these differences, as well as how they develop in children and adolescents, remains poorly understood. More effective interventions to minimize the negative consequences of anxiety require better understanding of its neurobiology in children. Recent research suggests that structural imaging studies may benefit from clearly delineating between cortical surface area and thickness when examining these associations, as these distinct cortical phenotypes are influenced by different cellular mechanisms and genetic factors. The present study examined relationships between cortical surface area and thickness of the VMPFC and a self-report measure of anxiety (SCARED-R) in 287 youths aged 7-20 years from the Pediatric Imaging, Neurocognition, and Genetics (PING) study. Age and gender interactions were examined for significant associations in order to test for developmental differences. Cortical surface area and thickness were also examined simultaneously to determine whether they contribute independently to the prediction of anxiety. Anxiety was negatively associated with relative cortical surface area of the VMPFC as well as with global cortical thickness, but these associations diminished with age. The two cortical phenotypes contributed additively to the prediction of anxiety. These findings suggest that higher anxiety in children may be characterized by both delayed expansion of the VMPFC and an altered trajectory of global cortical thinning. Further longitudinal studies will be needed to confirm these findings.
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Affiliation(s)
- Erik Newman
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA, 92093, USA. .,Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | - Wesley K Thompson
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Stein Institute for Research on Aging, University of California, San Diego, La Jolla, CA, USA
| | - Hauke Bartsch
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA
| | - Donald J Hagler
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Chi-Hua Chen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA
| | - Timothy T Brown
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA.,Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Joshua M Kuperman
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Connor McCabe
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA, 92093, USA.,Department of Psychology, University of Washington, Seattle, WA, USA
| | - Yoonho Chung
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA, 92093, USA.,Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA.,Department of Psychology, Yale University, New Haven, CT, USA
| | - Ondrej Libiger
- Scripps Genomic Medicine, Scripps Translational Science Institute and Scripps Health, La Jolla, CA, USA
| | - Natacha Akshoomoff
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA, 92093, USA.,Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Cinnamon S Bloss
- Scripps Genomic Medicine, Scripps Translational Science Institute and Scripps Health, La Jolla, CA, USA
| | - B J Casey
- Sackler Institute for Developmental Psychobiology, Weil Cornell Medical College, New York, NY, USA
| | - Linda Chang
- Department of Medicine, University of Hawaii and Queen's Medical Center, Honolulu, HI, USA
| | - Thomas M Ernst
- Department of Medicine, University of Hawaii and Queen's Medical Center, Honolulu, HI, USA
| | - Jean A Frazier
- Department of Psychiatry, University of Massachusetts Medical School, Boston, MA, USA
| | - Jeffrey R Gruen
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA.,Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - David N Kennedy
- Department of Psychiatry, University of Massachusetts Medical School, Boston, MA, USA
| | - Sarah S Murray
- Department of Pathology, University of California, San Diego, La Jolla, CA, USA
| | - Elizabeth R Sowell
- Department of Pediatrics, University of Southern California, Los Angeles, CA, USA.,Children's Hospital, Los Angeles, CA, USA
| | - Nicholas Schork
- Scripps Genomic Medicine, Scripps Translational Science Institute and Scripps Health, La Jolla, CA, USA
| | - Tal Kenet
- Department of Neurology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Walter E Kaufmann
- Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Stewart Mostofsky
- Kennedy Krieger Institute and Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David G Amaral
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Davis, CA, USA
| | - Anders M Dale
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, University of California, San Diego, La Jolla, CA, USA.,Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA.,Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | - Terry L Jernigan
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA, 92093, USA.,Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, University of California, San Diego, La Jolla, CA, USA.,Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
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Vaskinn A, Hartberg CB, Sundet K, Westlye LT, Andreassen OA, Melle I, Agartz I. Brain structure characteristics in intellectually superior schizophrenia. Psychiatry Res 2015; 232:123-9. [PMID: 25754688 DOI: 10.1016/j.pscychresns.2015.02.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Revised: 02/02/2015] [Accepted: 02/12/2015] [Indexed: 02/05/2023]
Abstract
The current study aims to fill a gap in the knowledge base by investigating the structural brain characteristics of individuals with schizophrenia and superior intellectual abilities. Subcortical volumes, cortical thickness and cortical surface area were examined in intellectually normal and intellectually superior participants with schizophrenia and their IQ-matched healthy controls, as well as in intellectually low schizophrenia participants. We replicated significant diagnostic group effects on hippocampal and ventricular size after correction for multiple comparisons. There were no statistically significant effects of intellectual level or of the interaction between diagnostic group and intellectual level. Effect sizes indicated that differences between schizophrenia and healthy control participants were of similar magnitude at both intellectual levels for all three types of morphological data. A secondary analysis within the schizophrenia group, including participants with low intellectual abilities, yielded numerical, but no statistically significant differences on any structural brain measure. The present findings indicate that the brain structure abnormalities in schizophrenia are present at all intellectual levels, and individuals with schizophrenia and superior intellectual abilities have brain structure abnormalities of the same magnitude as individuals with schizophrenia and normal intellectual abilities.
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Affiliation(s)
- Anja Vaskinn
- Department of Psychology, University of Oslo, Norway; NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway.
| | - Cecilie B Hartberg
- NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital Oslo, Norway
| | - Kjetil Sundet
- Department of Psychology, University of Oslo, Norway; NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Norway; NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway
| | - Ole A Andreassen
- NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway; Department of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Melle
- NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway; Department of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Agartz
- NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital Oslo, Norway; Department of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
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Sølsnes AE, Grunewaldt KH, Bjuland KJ, Stavnes EM, Bastholm IA, Aanes S, Østgård HF, Håberg A, Løhaugen GCC, Skranes J, Rimol LM. Cortical morphometry and IQ in VLBW children without cerebral palsy born in 2003-2007. Neuroimage Clin 2015; 8:193-201. [PMID: 26106543 PMCID: PMC4473819 DOI: 10.1016/j.nicl.2015.04.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 03/19/2015] [Accepted: 04/07/2015] [Indexed: 11/26/2022]
Abstract
Children born prematurely with very low birth weight (VLBW: bw ≤ 1500 g) have an increased risk of preterm perinatal brain injury, which may subsequently alter the maturation of the brain, including the cerebral cortex. The aim of study was to assess cortical thickness and surface area in VLBW children compared with term-born controls, and to investigate possible relationships between cortical morphology and Full IQ. In this cross-sectional study, 37 VLBW and 104 term children born between the years 2003–2007 were assessed cognitively at 5–10 years of age, using age appropriate Wechsler tests. The FreeSurfer software was used to obtain estimates of cortical thickness and surface area based on T1-weighted MRI images at 1.5 Tesla. The VLBW children had smaller cortical surface area bilaterally in the frontal, temporal, and parietal lobes. A thicker cortex in the frontal and occipital regions and a thinner cortex in posterior parietal areas were observed in the VLBW group. There were significant differences in Full IQ between groups (VLBW M = 98, SD = 9.71; controls M = 108, SD = 13.57; p < 0.001). There was a positive relationship between IQ and surface area in both groups, albeit significant only in the larger control group. In the VLBW group, reduced IQ was associated with frontal cortical thickening and temporo-parietal thinning. We conclude that cortical deviations are evident in childhood even in VLBW children born in 2003–2007 who have received state of the art medical treatment in the perinatal period and who did not present with focal brain injuries on neonatal ultrasonography. The cortical deviations were associated with reduced cognitive functioning. Cortical deviations are evident even in VLBW children born in 2003–2007 A smaller surface area was observed in widespread cortical regions in VLBW children VLBW children had frontal and occipital cortical thickening and parietal thinning VLBW children had reduced Full IQ compared to term born peers The cortical deviations were partially associated with reduced cognitive functioning
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Affiliation(s)
| | - Kristine H Grunewaldt
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway ; Department of Pediatrics, St. Olav University Hospital, Trondheim, Norway
| | - Knut J Bjuland
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Elisabeth M Stavnes
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Irén A Bastholm
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Synne Aanes
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Heidi F Østgård
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Asta Håberg
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Gro C C Løhaugen
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway ; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Jon Skranes
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway ; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Lars M Rimol
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
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Chalavi S, Vissia EM, Giesen ME, Nijenhuis ER, Draijer N, Barker GJ, Veltman DJ, Reinders AA. Similar cortical but not subcortical gray matter abnormalities in women with posttraumatic stress disorder with versus without dissociative identity disorder. Psychiatry Res 2015; 231:308-19. [PMID: 25670646 DOI: 10.1016/j.pscychresns.2015.01.014] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Revised: 11/21/2014] [Accepted: 01/13/2015] [Indexed: 11/21/2022]
Abstract
Neuroanatomical evidence on the relationship between posttraumatic stress disorder (PTSD) and dissociative disorders is still lacking. We acquired brain structural magnetic resonance imaging (MRI) scans from 17 patients with dissociative identity disorder (DID) and co-morbid PTSD (DID-PTSD) and 16 patients with PTSD but without DID (PTSD-only), and 32 healthy controls (HC), and compared their whole-brain cortical and subcortical gray matter (GM) morphological measurements. Associations between GM measurements and severity of dissociative and depersonalization/derealization symptoms or lifetime traumatizing events were evaluated in the patient groups. DID-PTSD and PTSD-only patients, compared with HC, had similarly smaller cortical GM volumes of the whole brain and of frontal, temporal and insular cortices. DID-PTSD patients additionally showed smaller hippocampal and larger pallidum volumes relative to HC, and larger putamen and pallidum volumes relative to PTSD-only. Severity of lifetime traumatizing events and volume of the hippocampus were negatively correlated. Severity of dissociative and depersonalization/derealization symptoms correlated positively with volume of the putamen and pallidum, and negatively with volume of the inferior parietal cortex. Shared abnormal brain structures in DID-PTSD and PTSD-only, small hippocampal volume in DID-PTSD, more severe lifetime traumatizing events in DID-PTSD compared with PTSD-only, and negative correlations between lifetime traumatizing events and hippocampal volume suggest a trauma-related etiology for DID. Our results provide neurobiological evidence for the side-by-side nosological classification of PTSD and DID in the DSM-5.
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Li G, Wang L, Shi F, Lyall AE, Ahn M, Peng Z, Zhu H, Lin W, Gilmore JH, Shen D. Cortical thickness and surface area in neonates at high risk for schizophrenia. Brain Struct Funct 2014; 221:447-61. [PMID: 25362539 DOI: 10.1007/s00429-014-0917-3] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2013] [Accepted: 10/15/2014] [Indexed: 11/27/2022]
Abstract
Schizophrenia is a neurodevelopmental disorder associated with subtle abnormal cortical thickness and cortical surface area. However, it is unclear whether these abnormalities exist in neonates associated with genetic risk for schizophrenia. To this end, this preliminary study was conducted to identify possible abnormalities of cortical thickness and surface area in the high-genetic-risk neonates. Structural magnetic resonance images were acquired from offspring of mothers (N = 21) who had schizophrenia (N = 12) or schizoaffective disorder (N = 9), and also matched healthy neonates of mothers who were free of psychiatric illness (N = 26). Neonatal cortical surfaces were reconstructed and parcellated as regions of interest (ROIs), and cortical thickness for each vertex was computed as the shortest distance between the inner and outer surfaces. Comparisons were made for the average cortical thickness and total surface area in each of 68 cortical ROIs. After false discovery rate (FDR) correction, it was found that the female high-genetic-risk neonates had significantly thinner cortical thickness in the right lateral occipital cortex than the female control neonates. Before FDR correction, the high-genetic-risk neonates had significantly thinner cortex in the left transverse temporal gyrus, left banks of superior temporal sulcus, left lingual gyrus, right paracentral cortex, right posterior cingulate cortex, right temporal pole, and right lateral occipital cortex, compared with the control neonates. Before FDR correction, in comparison with control neonates, male high-risk neonates had significantly thicker cortex in the left frontal pole, left cuneus cortex, and left lateral occipital cortex; while female high-risk neonates had significantly thinner cortex in the bilateral paracentral, bilateral lateral occipital, left transverse temporal, left pars opercularis, right cuneus, and right posterior cingulate cortices. The high-risk neonates also had significantly smaller cortical surface area in the right pars triangularis (before FDR correction), compared with control neonates. This preliminary study provides the first evidence that early development of cortical thickness and surface area might be abnormal in the neonates at genetic risk for schizophrenia.
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Affiliation(s)
- Gang Li
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA. .,Radiology and BRIC, UNC-CH School of Medicine, MRI Building, CB #7513 106 Mason Farm Road, Chapel Hill, NC, 27599, USA.
| | - Li Wang
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA
| | - Feng Shi
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA
| | - Amanda E Lyall
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA
| | - Mihye Ahn
- Department of Biostatistics and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA
| | - Ziwen Peng
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA
| | - Hongtu Zhu
- Department of Biostatistics and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA
| | - Weili Lin
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27154, USA. .,Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea. .,Radiology and BRIC, UNC-CH School of Medicine, MRI Building, CB #7513 106 Mason Farm Road, Chapel Hill, NC, 27599, USA.
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Kaag AM, Crunelle CL, van Wingen G, Homberg J, van den Brink W, Reneman L. Relationship between trait impulsivity and cortical volume, thickness and surface area in male cocaine users and non-drug using controls. Drug Alcohol Depend 2014; 144:210-7. [PMID: 25278147 DOI: 10.1016/j.drugalcdep.2014.09.016] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Revised: 09/03/2014] [Accepted: 09/12/2014] [Indexed: 01/24/2023]
Abstract
BACKGROUND Trait impulsivity is commonly associated with cocaine dependence. The few studies that have investigated the relation between trait impulsivity and cortical morphometry, have shown a distinct relation between impulsivity and cortical volume (CV) of temporal, frontal and insula cortex. As CV is the function of cortical surface area (SA) and cortical thickness (CT) impulsivity may be differently associated to SA than to CT. METHOD Fifty-three cocaine users (CU) and thirty-five controls (HC) (males aged 18-55 years) completed the Barrat impulsiveness scale and a structural scan was made on a 3T MRI scanner. CV, SA and CT were measured using Freesurfer. Multivariate analysis was used to test for group differences and group by impulsivity interaction effects in CV, SA and ST across nine regions of interest in the temporal, frontal and insular cortices. Possible confounding effects of drug- and alcohol exposure were explored. RESULTS Compared to HC, CU had a smaller SA of the superior temporal cortex but a larger SA of the insula. There were divergent relations between trait impulsivity and SA of the superior temporal cortex and insula (positive in HC, negative in CU) and CT of the anterior cingulate cortex (negative in HC, positive in CU). Within CU, there was a negative association between monthly cocaine use and CT of the insula and superior temporal cortex. DISCUSSION The distinct relation between trait impulsivity and cortical morphometry in CU and HC might underlie inefficient control over behavior resulting in maladaptive impulsive behaviour such as cocaine abuse.
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Affiliation(s)
- Anne Marije Kaag
- Departement of Radiology, Academic Medical Center, Amsterdam, The Netherlands; Brain Imaging Center, Academic Medical Center, Amsterdam, The Netherlands.
| | - Cleo L Crunelle
- Toxicological Center, University of Antwerp, Antwerp, Belgium
| | - Guido van Wingen
- Brain Imaging Center, Academic Medical Center, Amsterdam, The Netherlands; Department of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands
| | - Judith Homberg
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Medical Centre, Nijmegen, The Netherlands
| | - Wim van den Brink
- Brain Imaging Center, Academic Medical Center, Amsterdam, The Netherlands; Department of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands
| | - Liesbeth Reneman
- Departement of Radiology, Academic Medical Center, Amsterdam, The Netherlands; Brain Imaging Center, Academic Medical Center, Amsterdam, The Netherlands
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40
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Escorial S, Román FJ, Martínez K, Burgaleta M, Karama S, Colom R. Sex differences in neocortical structure and cognitive performance: A surface-based morphometry study. Neuroimage 2014; 104:355-65. [PMID: 25255941 DOI: 10.1016/j.neuroimage.2014.09.035] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Revised: 09/04/2014] [Accepted: 09/16/2014] [Indexed: 11/29/2022] Open
Abstract
On average, men show larger brain volumes than women. Regional differences have been also observed, although most of the available studies apply voxel-based morphometry (VBM). Reports applying surface-based morphometry (SBM) have been focused mainly on cortical thickness (CT). Here we apply SBM for obtaining global and regional indices of CT, cortical surface area (CSA), and cortical gray matter volume (CGMV) from samples of men (N=40) and women (N=40) matched for their performance on four cognitive factors varying in their complexity: processing speed, attention control, working memory capacity, and fluid intelligence. These were the main findings: 1) CT and CSA produced very weak correlations in both sexes, 2) men showed larger values in CT, CSA, and CGMV, and 3) cognitive performance was unrelated to brain structural variation within sexes. Therefore, we found substantial group differences in brain structure, but there was no relationship with cognitive performance both between and within-sexes.
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Affiliation(s)
| | | | - Kenia Martínez
- Universidad Autónoma de Madrid, Spain; Hospital Gregorio Marañón, Madrid, Spain
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41
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Ortinau C, Alexopoulos D, Dierker D, Van Essen D, Beca J, Inder T. Cortical folding is altered before surgery in infants with congenital heart disease. J Pediatr 2013; 163:1507-10. [PMID: 23988135 PMCID: PMC3905308 DOI: 10.1016/j.jpeds.2013.06.045] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2012] [Revised: 05/01/2013] [Accepted: 06/21/2013] [Indexed: 10/26/2022]
Abstract
Infants with congenital heart disease have altered brain development. We characterized cortical folding, a critical part of brain development, in congenital heart disease infants and demonstrated an overall decrease in cortical surface area and cortical folding with regional alterations in the right lateral sulcus and left orbitofrontal region, cingulate region, and central sulcus. These abnormalities were present prior to surgery.
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Affiliation(s)
- Cynthia Ortinau
- Department of Pediatrics, St. Louis Children's Hospital, Washington University in St. Louis, St. Louis, MO.
| | - Dimitrios Alexopoulos
- Department of Pediatrics, St. Louis Children's Hospital, Washington University in St. Louis, St. Louis, MO, USA
| | - Donna Dierker
- Departments of Anatomy and Neurobiology, Washington University in St. Louis, St. Louis, MO, USA
| | - David Van Essen
- Departments of Anatomy and Neurobiology, Washington University in St. Louis, St. Louis, MO, USA
| | - John Beca
- Pediatric Intensive Care Unit, Starship Children's Hospital, Auckland, NZ
| | - Terrie Inder
- Department of Pediatrics, St. Louis Children's Hospital, Washington University in St. Louis, St. Louis, MO, USA,Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA,Mallinkrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
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42
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Chiarello C, Vazquez D, Felton A, Leonard CM. Structural asymmetry of anterior insula: behavioral correlates and individual differences. Brain Lang 2013; 126:109-22. [PMID: 23681069 PMCID: PMC3722256 DOI: 10.1016/j.bandl.2013.03.005] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2012] [Revised: 02/22/2013] [Accepted: 03/28/2013] [Indexed: 06/01/2023]
Abstract
The current study investigated behavioral correlates of structural asymmetry of the insula, and traditional perisylvian language regions, in a large sample of young adults (N=200). The findings indicated (1) reliable leftward surface area asymmetry of the anterior insula, (2) association of this asymmetry with divided visual field lateralization of visual word recognition, and (3) modulation of the correlation of structural and linguistic asymmetry by consistency of hand preference. Although leftward asymmetry of cortical surface area was observed for the anterior insula, pars opercularis and triangularis, and planum temporale, only the anterior insula asymmetry was associated with lateralized word recognition. We interpret these findings within the context of recent structural and functional findings about the human insula. We suggest that leftward structural lateralization of earlier developing insular cortex may bootstrap asymmetrical functional lateralization even if the insula is only a minor component of the adult language network.
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Affiliation(s)
- Christine Chiarello
- Department of Psychology, University of California, Riverside, Riverside CA 92521, USA.
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