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Trujillo-Llano C, Sainz-Ballesteros A, Suarez-Ardila F, Gonzalez-Gadea ML, Ibáñez A, Herrera E, Baez S. Neuroanatomical markers of social cognition in neglected adolescents. Neurobiol Stress 2024; 31:100642. [PMID: 38800539 PMCID: PMC11127280 DOI: 10.1016/j.ynstr.2024.100642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/07/2024] [Accepted: 05/12/2024] [Indexed: 05/29/2024] Open
Abstract
Growing up in neglectful households can impact multiple aspects of social cognition. However, research on neglect's effects on social cognition processes and their neuroanatomical correlates during adolescence is scarce. Here, we aimed to comprehensively assess social cognition processes (recognition of basic and contextual emotions, theory of mind, the experience of envy and Schadenfreude and empathy for pain) and their structural brain correlates in adolescents with legal neglect records within family-based care. First, we compared neglected adolescents (n = 27) with control participants (n = 25) on context-sensitive social cognition tasks while controlling for physical and emotional abuse and executive and intellectual functioning. Additionally, we explored the grey matter correlates of these domains through voxel-based morphometry. Compared to controls, neglected adolescents exhibited lower performance in contextual emotional recognition and theory of mind, higher levels of envy and Schadenfreude and diminished empathy. Physical and emotional abuse and executive or intellectual functioning did not explain these effects. Moreover, social cognition scores correlated with brain volumes in regions subserving social cognition and emotional processing. Our results underscore the potential impact of neglect on different aspects of social cognition during adolescence, emphasizing the necessity for preventive and intervention strategies to address these deficits in this population.
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Affiliation(s)
- Catalina Trujillo-Llano
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
- Facultad de Psicología, Universidad Del Valle, Cali, Colombia
| | - Agustín Sainz-Ballesteros
- Department of Psychology, University of Tübingen, Tübingen, Germany
- Centre for Integrative Neuroscience, Tübingen, Germany
- Department for High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | | | - María Luz Gonzalez-Gadea
- Cognitive Neuroscience Center, Universidad de San Andres, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Agustín Ibáñez
- Cognitive Neuroscience Center, Universidad de San Andres, Buenos Aires, Argentina
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Global Brain Health Institute, University of California-San Francisco, San Francisco, CA, United States
- Trinity College Dublin, Dublin, Ireland
| | - Eduar Herrera
- Universidad Icesi, Departamento de Estudios Psicológicos, Cali, Colombia
| | - Sandra Baez
- Global Brain Health Institute, University of California-San Francisco, San Francisco, CA, United States
- Trinity College Dublin, Dublin, Ireland
- Universidad de Los Andes, Bogotá, Colombia
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2
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Ullman MT, Clark GM, Pullman MY, Lovelett JT, Pierpont EI, Jiang X, Turkeltaub PE. The neuroanatomy of developmental language disorder: a systematic review and meta-analysis. Nat Hum Behav 2024; 8:962-975. [PMID: 38491094 DOI: 10.1038/s41562-024-01843-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/01/2024] [Indexed: 03/18/2024]
Abstract
Developmental language disorder (DLD) is a common neurodevelopmental disorder with adverse impacts that continue into adulthood. However, its neural bases remain unclear. Here we address this gap by systematically identifying and quantitatively synthesizing neuroanatomical studies of DLD using co-localization likelihood estimation, a recently developed neuroanatomical meta-analytic technique. Analyses of structural brain data (22 peer-reviewed papers, 577 participants) revealed highly consistent anomalies only in the basal ganglia (100% of participant groups in which this structure was examined, weighted by group sample sizes; 99.8% permutation-based likelihood the anomaly clustering was not due to chance). These anomalies were localized specifically to the anterior neostriatum (again 100% weighted proportion and 99.8% likelihood). As expected given the task dependence of activation, functional neuroimaging data (11 peer-reviewed papers, 414 participants) yielded less consistency, though anomalies again occurred primarily in the basal ganglia (79.0% and 95.1%). Multiple sensitivity analyses indicated that the patterns were robust. The meta-analyses elucidate the neuroanatomical signature of DLD, and implicate the basal ganglia in particular. The findings support the procedural circuit deficit hypothesis of DLD, have basic research and translational implications for the disorder, and advance our understanding of the neuroanatomy of language.
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Affiliation(s)
- Michael T Ullman
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA.
| | - Gillian M Clark
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Mariel Y Pullman
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA
- Mount Sinai Beth Israel, New York, NY, USA
| | - Jarrett T Lovelett
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA
- Department of Psychology, University of California, San Diego, La Jolla, CA, USA
| | - Elizabeth I Pierpont
- Department of Pediatrics, University of Minnesota Medical Center, Minneapolis, MN, USA
| | - Xiong Jiang
- Department of Neuroscience, Georgetown University, Washington DC, USA
| | - Peter E Turkeltaub
- Center for Brain Plasticity and Recovery, Georgetown University, Washington DC, USA
- Research Division, MedStar National Rehabilitation Network, Washington DC, USA
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3
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Kung KTF, Louie K, Spencer D, Hines M. Prenatal androgen exposure and sex-typical play behaviour: A meta-analysis of classic congenital adrenal hyperplasia studies. Neurosci Biobehav Rev 2024; 159:105616. [PMID: 38447820 DOI: 10.1016/j.neubiorev.2024.105616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/08/2024]
Abstract
Thousands of non-human mammal experiments have demonstrated that early androgen exposure exerts long-lasting effects on neurobehavioural sexual differentiation. In humans, females with classic congenital adrenal hyperplasia (CAH) are exposed to unusually high concentrations of androgens prenatally, whereas prenatal concentrations of androgens in males with CAH are largely normal. The current meta-analysis included 20 independent samples and employed multi-level meta-analytic models. Consistently across all 7 male-typical and female-typical play outcomes, in the expected directions, the present study found significant and large average differences between control males and control females (gs = 0.83-2.78) as well as between females with CAH and control females (gs = 0.95-1.08), but differences between males with CAH and control males were mostly negligible and were non-significant for 6 of the 7 outcomes (gs = 0.04-0.27). These meta-analytic findings suggest that prenatal androgen exposure masculinises and defeminises play behaviour in humans. Broader implications in relation to sex chromosomes, brain development, oestrogens, socio-cognitive influences, other aspects of sex-related behavioural development, and gender nonconformity are discussed.
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Affiliation(s)
- Karson T F Kung
- Department of Psychology, Jockey Club Tower, Centennial Campus, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
| | - Krisya Louie
- Department of Psychology, Jockey Club Tower, Centennial Campus, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region
| | - Debra Spencer
- Department of Psychology, University of Cambridge, Free School Lane, Cambridge CB2 3RQ, United Kingdom
| | - Melissa Hines
- Department of Psychology, University of Cambridge, Free School Lane, Cambridge CB2 3RQ, United Kingdom
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4
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Pan N, Yang C, Suo X, Shekara A, Hu S, Gong Q, Wang S. Sex differences in the relationship between brain gray matter volume and psychological resilience in late adolescence. Eur Child Adolesc Psychiatry 2024; 33:1057-1066. [PMID: 37212908 DOI: 10.1007/s00787-023-02231-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 05/13/2023] [Indexed: 05/23/2023]
Abstract
Psychological resilience reflects an individual's ability to adapt and cope successfully in adverse environments and situations, making it a crucial trait in resisting stress-linked mental disorders and physical diseases. Although prior literature has consistently shown that males are more resilient than females, the sex-linked neuroanatomical correlates of psychological resilience are largely unknown. This study aims to explore the sex-specific relation between psychological resilience and brain gray matter volume (GMV) in adolescents via structural magnetic resonance imaging (s-MRI). A cohort of 231 healthy adolescents (121/110 females/males), aged 16 to 20 completed brain s-MRI scanning and Connor-Davidson Resilience Scale (CD-RISC) and other controlling behavioral tests. With s-MRI data, an optimized voxel-based morphometry method was used to estimate regional GMV, and a whole-brain condition-by-covariate interaction analysis was performed to identify the brain regions showing sex effects on the relation between psychological resilience and GMV. Male adolescents scored significantly higher than females on the CD-RISC. The association of psychological resilience with GMV differed between the two sex groups in the left ventrolateral prefrontal cortex extending to the adjacent anterior insula, with a positive correlation among males and a negative correlation among females. The sex-specific association between psychological resilience and GMV might be linked to sex differences in the hypothalamic-pituitary-adrenal axis and brain maturation during adolescence. This study may be novel in revealing the sex-linked neuroanatomical basis of psychological resilience, highlighting the need for a more thorough investigation of the role of sex in future studies of psychological resilience and stress-related illness.
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Affiliation(s)
- Nanfang Pan
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Cheng Yang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xueling Suo
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Aniruddha Shekara
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Samantha Hu
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Qiyong Gong
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China.
| | - Song Wang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
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Huang AS, Kang K, Vandekar S, Rogers BP, Heckers S, Woodward ND. Lifespan development of thalamic nuclei and characterizing thalamic nuclei abnormalities in schizophrenia using normative modeling. Neuropsychopharmacology 2024:10.1038/s41386-024-01837-y. [PMID: 38480909 DOI: 10.1038/s41386-024-01837-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 03/18/2024]
Abstract
Thalamic abnormalities have been repeatedly implicated in the pathophysiology of schizophrenia and other neurodevelopmental disorders. Uncovering the etiology of thalamic abnormalities and how they may contribute to illness phenotypes faces at least two obstacles. First, the typical developmental trajectories of thalamic nuclei and their association with cognition across the lifespan are largely unknown. Second, modest effect sizes indicate marked individual differences and pose a significant challenge to personalized medicine. To address these knowledge gaps, we characterized the development of thalamic nuclei volumes using normative models generated from the Human Connectome Project Lifespan datasets (5-100+ years), then applied them to an independent clinical cohort to determine the frequency of thalamic volume deviations in people with schizophrenia (17-61 years). Normative models revealed diverse non-linear age effects across the lifespan. Association nuclei exhibited negative age effects during youth but stabilized in adulthood until turning negative again with older age. Sensorimotor nuclei volumes remained relatively stable through youth and adulthood until also turning negative with older age. Up to 18% of individuals with schizophrenia exhibited abnormally small (i.e., below the 5th centile) mediodorsal and pulvinar volumes, and the degree of deviation, but not raw volumes, correlated with the severity of cognitive impairment. While case-control differences are robust, only a minority of patients demonstrate unusually small thalamic nuclei volumes. Normative modeling enables the identification of these individuals, which is a necessary step toward precision medicine.
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Affiliation(s)
- Anna S Huang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Kaidi Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Simon Vandekar
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Baxter P Rogers
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
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Tomoda A, Nishitani S, Takiguchi S, Fujisawa TX, Sugiyama T, Teicher MH. The neurobiological effects of childhood maltreatment on brain structure, function, and attachment. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01779-y. [PMID: 38466395 DOI: 10.1007/s00406-024-01779-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 02/16/2024] [Indexed: 03/13/2024]
Abstract
Childhood maltreatment is a risk factor for psychopathologies, and influences brain development at specific periods, particularly during early childhood and adolescence. This narrative review addresses phenotypic alterations in sensory systems associated with specific types of childhood maltreatment exposure, periods of vulnerability to the neurobiological effects of maltreatment, and the relationships between childhood maltreatment and brain structure, function, connectivity, and network architecture; psychopathology; and resilience. It also addresses neurobiological alterations associated with maternal communication and attachment disturbances, and uses laboratory-based measures during infancy and case-control studies to elucidate neurobiological alterations in reactive attachment disorders in children with maltreatment histories. Moreover, we review studies on the acute effects of oxytocin on reactive attachment disorder and maltreatment and methylation of oxytocin regulatory genes. Epigenetic changes may play a critical role in initiating or producing the atypical structural and functional brain alterations associated with childhood maltreatment. However, these changes could be reversed through psychological and pharmacological interventions, and by anticipating or preventing the emergence of brain alterations and subsequent psychopathological risks.
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Affiliation(s)
- Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, 910-1193, Japan.
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan.
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan.
| | - Shota Nishitani
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, 910-1193, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan
| | - Shinichiro Takiguchi
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Takashi X Fujisawa
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, 910-1193, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan
| | - Toshiro Sugiyama
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, 910-1193, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Martin H Teicher
- Developmental Biopsychiatry Research Program, McLean Hospital, Belmont, USA
- Department of Psychiatry, Harvard Medical School, Boston, USA
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Lee KW, Hong YJ, Yang EJ, Lee SB, Kim SH, Na S, Kim YD, Park JW. Feasibility and usefulness of cognitive monitoring using a new home-based cognitive test in mild cognitive impairment: a prospective single arm study. BMC Geriatr 2024; 24:241. [PMID: 38459495 PMCID: PMC10924318 DOI: 10.1186/s12877-024-04850-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 02/27/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND The risk of dementia is increased in subjects with mild cognitive impairment (MCI). Despite the plethora of in-person cognitive tests, those that can be administered over the phone are lacking. We hypothesized that a home-based cognitive test (HCT) using phone calls would be feasible and useful in non-demented elderly. We aimed to assess feasibility and validity of a new HCT as an optional cognitive monitoring tool without visiting hospitals. METHODS Our study was conducted in a prospective design during 24 weeks. We developed a new HCT consisting of 20 questions (score range 0-30). Participants with MCI (n = 38) were consecutively enrolled and underwent regular HCTs during 24 weeks. Associations between HCT scores and in-person cognitive scores and Alzheimer's disease (AD) biomarkers were evaluated. In addition, HCT scores in MCI participants were cross-sectionally compared with age-matched cognitively normal (n = 30) and mild AD dementia (n = 17) participants for discriminative ability of the HCT. RESULTS HCT had good intra-class reliability (test-retest Cronbach's alpha 0.839). HCT scores were correlated with the Mini-Mental State Examination (MMSE), verbal memory delayed recall, and Stroop test scores but not associated with AD biomarkers. HCT scores significantly differed among cognitively normal, MCI, and mild dementia participants, indicating its discriminative ability. Finally, 32 MCI participants completed follow-up evaluations, and 8 progressed to dementia. Baseline HCT scores in dementia progressors were lower than those in non-progressors (p = 0.001). CONCLUSION The feasibility and usefulness of the HCT were demonstrated in elderly subjects with MCI. HCT could be an alternative option to monitor cognitive decline in early stages without dementia.
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Affiliation(s)
- Kyung Won Lee
- Department of Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, 11765, Seoul, Korea
| | - Yun Jeong Hong
- Department of Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, 11765, Seoul, Korea.
| | - Eun Jin Yang
- Department of Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, 11765, Seoul, Korea
| | - Si Baek Lee
- Department of Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, 11765, Seoul, Korea
| | - Seong Hoon Kim
- Department of Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, 11765, Seoul, Korea
| | - Seunghee Na
- Department of Neurology, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea
| | - Young-Do Kim
- Department of Neurology, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea
| | - Jeong Wook Park
- Department of Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, 11765, Seoul, Korea
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Won SY, Hernández-Durán S, Behmanesh B, Bernstock JD, Czabanka M, Dinc N, Dubinski D, Freiman TM, Günther A, Hellmuth K, Herrmann E, Konczalla J, Maier I, Melkonian R, Mielke D, Naser P, Rohde V, Senft C, Storch A, Unterberg A, Walter J, Walter U, Wittstock M, Schaefer JH, Gessler F. Functional Outcomes in Conservatively vs Surgically Treated Cerebellar Infarcts. JAMA Neurol 2024:2815568. [PMID: 38407889 PMCID: PMC10897822 DOI: 10.1001/jamaneurol.2023.5773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/21/2023] [Indexed: 02/27/2024]
Abstract
Importance According to the current American Heart Association/American Stroke Association guidelines, decompressive surgery is indicated in patients with cerebellar infarcts that demonstrate severe cerebellar swelling. However, there is no universal definition of swelling and/or infarct volume(s) available to support a decision for surgery. Objective To evaluate functional outcomes in surgically compared with conservatively managed patients with cerebellar infarcts. Design, Setting, and Participants In this retrospective multicenter cohort study, patients with cerebellar infarcts treated at 5 tertiary referral hospitals or stroke centers within Germany between 2008 and 2021 were included. Data were analyzed from November 2020 to November 2023. Exposures Surgical treatment (ie, posterior fossa decompression plus standard of care) vs conservative management (ie, medical standard of care). Main Outcomes and Measures The primary outcome examined was functional status evaluated by the modified Rankin Scale (mRS) at discharge and 1-year follow-up. Secondary outcomes included the predicted probabilities for favorable outcome (mRS score of 0 to 3) stratified by infarct volumes or Glasgow Coma Scale score at admission and treatment modality. Analyses included propensity score matching, with adjustments for age, sex, Glasgow Coma Scale score at admission, brainstem involvement, and infarct volume. Results Of 531 included patients with cerebellar infarcts, 301 (57%) were male, and the mean (SD) age was 68 (14.4) years. After propensity score matching, a total of 71 patients received surgical treatment and 71 patients conservative treatment. There was no significant difference in favorable outcomes (ie, mRS score of 0 to 3) at discharge for those treated surgically vs conservatively (47 [66%] vs 45 [65%]; odds ratio, 1.1; 95% CI, 0.5-2.2; P > .99) or at follow-up (35 [73%] vs 33 [61%]; odds ratio, 1.8; 95% CI, 0.7-4.2; P > .99). In patients with cerebellar infarct volumes of 35 mL or greater, surgical treatment was associated with a significant improvement in favorable outcomes at 1-year follow-up (38 [61%] vs 3 [25%]; odds ratio, 4.8; 95% CI, 1.2-19.3; P = .03), while conservative treatment was associated with favorable outcomes at 1-year follow-up in patients with infarct volumes of less than 25 mL (2 [34%] vs 218 [74%]; odds ratio, 0.2; 95% CI, 0-1.0; P = .047). Conclusions and Relevance Overall, surgery was not associated with improved outcomes compared with conservative management in patients with cerebellar infarcts. However, when stratifying based on infarct volume, surgical treatment appeared to be beneficial in patients with larger infarct volumes, while conservative management appeared favorable in patients with smaller infarct volumes.
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Affiliation(s)
- Sae-Yeon Won
- Department of Neurosurgery, Rostock University Medical Center, Rostock, Germany
| | | | - Bedjan Behmanesh
- Department of Neurosurgery, Rostock University Medical Center, Rostock, Germany
| | - Joshua D. Bernstock
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marcus Czabanka
- Department of Neurosurgery, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Nazife Dinc
- Department of Neurosurgery, Jena University Hospital, Jena, Germany
| | - Daniel Dubinski
- Department of Neurosurgery, Rostock University Medical Center, Rostock, Germany
| | - Thomas M. Freiman
- Department of Neurosurgery, Rostock University Medical Center, Rostock, Germany
| | - Albrecht Günther
- Department of Neurology, Jena University Hospital, Jena, Germany
| | - Kara Hellmuth
- Department of Neurosurgery, Rostock University Medical Center, Rostock, Germany
| | - Eva Herrmann
- Department of Medicine, Institute of Biostatistics and Mathematical Modelling, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Juergen Konczalla
- Department of Neurosurgery, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Ilko Maier
- Department of Neurology, Göttingen University Hospital, Göttingen, Germany
| | | | - Dorothee Mielke
- Department of Neurosurgery, Göttingen University Hospital, Göttingen, Germany
| | - Paul Naser
- Department of Neurosurgery, University of Heidelberg, Heidelberg, Germany
| | - Veit Rohde
- Department of Neurosurgery, Göttingen University Hospital, Göttingen, Germany
| | - Christian Senft
- Department of Neurosurgery, Jena University Hospital, Jena, Germany
| | - Alexander Storch
- Department of Neurology, Rostock University Medical Center, Rostock, Germany
| | - Andreas Unterberg
- Department of Neurosurgery, University of Heidelberg, Heidelberg, Germany
| | - Johannes Walter
- Department of Neurosurgery, University of Heidelberg, Heidelberg, Germany
| | - Uwe Walter
- Department of Neurology, Rostock University Medical Center, Rostock, Germany
| | - Matthias Wittstock
- Department of Neurology, Rostock University Medical Center, Rostock, Germany
| | - Jan Hendrik Schaefer
- Department of Neurology, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Florian Gessler
- Department of Neurosurgery, Rostock University Medical Center, Rostock, Germany
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9
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Pollmann A, Sasso R, Bates K, Fuhrmann D. Making Connections: Neurodevelopmental Changes in Brain Connectivity After Adverse Experiences in Early Adolescence. J Neurosci 2024; 44:e0991232023. [PMID: 38124022 PMCID: PMC10883609 DOI: 10.1523/jneurosci.0991-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 12/23/2023] Open
Abstract
Adverse childhood experiences have been linked to detrimental mental health outcomes in adulthood. This study investigates a potential neurodevelopmental pathway between adversity and mental health outcomes: brain connectivity. We used data from the prospective, longitudinal Adolescent Brain Cognitive Development (ABCD) study (N ≍ 12.000, participants aged 9-13 years, male and female) and assessed structural brain connectivity using fractional anisotropy (FA) of white matter tracts. The adverse experiences modeled included family conflict and traumatic experiences. K-means clustering and latent basis growth models were used to determine subgroups based on total levels and trajectories of brain connectivity. Multinomial regression was used to determine associations between cluster membership and adverse experiences. The results showed that higher family conflict was associated with higher FA levels across brain tracts (e.g., t (3) = -3.81, β = -0.09, p bonf = 0.003) and within the corpus callosum (CC), fornix, and anterior thalamic radiations (ATR). A decreasing FA trajectory across two brain imaging timepoints was linked to lower socioeconomic status and neighborhood safety. Socioeconomic status was related to FA across brain tracts (e.g., t (3) = 3.44, β = 0.10, p bonf = 0.01), the CC and the ATR. Neighborhood safety was associated with FA in the Fornix and ATR (e.g., t (1) = 3.48, β = 0.09, p bonf = 0.01). There is a complex and multifaceted relationship between adverse experiences and brain development, where adverse experiences during early adolescence are related to brain connectivity. These findings underscore the importance of studying adverse experiences beyond early childhood to understand lifespan developmental outcomes.
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Affiliation(s)
- Ayla Pollmann
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Remo Sasso
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, United Kingdom
| | - Kathryn Bates
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Delia Fuhrmann
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
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Backhausen LL, Fröhner JH, Lemaître H, Artiges E, Martinot MP, Herting MM, Sticca F, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Nees F, Papadopoulos‐Orfanos D, Poustka L, Hohmann S, Robinson L, Walter H, Winterer J, Whelan R, Schumann G, Martinot J, Smolka MN, Vetter NC. Adolescent to young adult longitudinal development of subcortical volumes in two European sites with four waves. Hum Brain Mapp 2024; 45:e26574. [PMID: 38401132 PMCID: PMC10893970 DOI: 10.1002/hbm.26574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 11/16/2023] [Accepted: 12/11/2023] [Indexed: 02/26/2024] Open
Abstract
Adolescent subcortical structural brain development might underlie psychopathological symptoms, which often emerge in adolescence. At the same time, sex differences exist in psychopathology, which might be mirrored in underlying sex differences in structural development. However, previous studies showed inconsistencies in subcortical trajectories and potential sex differences. Therefore, we aimed to investigate the subcortical structural trajectories and their sex differences across adolescence using for the first time a single cohort design, the same quality control procedure, software, and a general additive mixed modeling approach. We investigated two large European sites from ages 14 to 24 with 503 participants and 1408 total scans from France and Germany as part of the IMAGEN project including four waves of data acquisition. We found significantly larger volumes in males versus females in both sites and across all seven subcortical regions. Sex differences in age-related trajectories were observed across all regions in both sites. Our findings provide further evidence of sex differences in longitudinal adolescent brain development of subcortical regions and thus might eventually support the relationship of underlying brain development and different adolescent psychopathology in boys and girls.
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Affiliation(s)
- Lea L. Backhausen
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
- Department of Child and Adolescent Psychiatry, Medical Faculty and University Hospital Carl Gustav CarusTUD Dresden University of TechnologyDresdenGermany
| | - Juliane H. Fröhner
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
| | - Hervé Lemaître
- NeuroSpin, CEAUniversité Paris‐SaclayGif‐sur‐YvetteFrance
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEAUniversité de BordeauxBordeauxFrance
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires Développementales en Psychiatrie"Université Paris‐Saclay, Ecole Normale supérieure Paris‐Saclay, CNRS, Centre BorelliGif‐sur‐YvetteFrance
- Department of PsychiatryLab‐D‐Psy, EPS Barthélémy DurandEtampesFrance
| | - Marie‐Laure Palillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires Développementales en Psychiatrie"Université Paris‐Saclay, Ecole Normale supérieure Paris‐Saclay, CNRS, Centre BorelliGif‐sur‐YvetteFrance
- AP‐HP, Sorbonne Université, Department of Child and Adolescent PsychiatryPitié‐Salpêtrière HospitalParisFrance
| | - Megan M. Herting
- Departments of Population and Public Health Sciences and PediatricsUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Fabio Sticca
- Institute for Educational Support for Behaviour, Social‐Emotional, and Psychomotor DevelopmentUniversity of Teacher Education in Special NeedsZurichSwitzerland
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
| | - Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of NeuroscienceTrinity College DublinDublinIreland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP CentreKing's College LondonLondonUK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Department of Psychology, School of Social SciencesUniversity of MannheimMannheimGermany
| | - Antoine Grigis
- NeuroSpin, CEAUniversité Paris‐SaclayGif‐sur‐YvetteFrance
| | - Hugh Garavan
- Departments of Psychiatry and PsychologyUniversity of VermontBurlingtonVermontUSA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and AstronomyUniversity of Nottingham, University ParkNottinghamUK
| | - Andreas Heinz
- Department of Psychiatry and NeurosciencesCharité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Rüdiger Brühl
- Physikalisch‐Technische Bundesanstalt (PTB)BraunschweigGermany
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Institute of Medical Psychology and Medical SociologyUniversity Medical Center Schleswig Holstein, Kiel UniversityKielGermany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and PsychotherapyUniversity Medical Centre GöttingenGöttingenGermany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Department of Child and Adolescent Psychiatry, Psychotherapy and PsychosomaticsUniversity Medical Center Hamburg EppendorfHamburgGermany
| | - Lauren Robinson
- Department of Psychological Medicine, Section for Eating Disorders, Institute of PsychiatryPsychology and Neuroscience, King's College LondonLondonUK
| | - Henrik Walter
- Department of Psychiatry and NeurosciencesCharité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Jeanne Winterer
- Department of Psychiatry and NeurosciencesCharité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
- Department of Education and PsychologyFreie Universität BerlinBerlinGermany
| | - Robert Whelan
- School of Psychology and Global Brain Health InstituteTrinity College DublinDublinIreland
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP CentreKing's College LondonLondonUK
- PONS Research Group, Dept of Psychiatry and Psychotherapy, Campus Charite MitteHumboldt University, Berlin and Leibniz Institute for NeurobiologyMagdeburgGermany
- Institute for Science and Technology of Brain‐Inspired Intelligence (ISTBI)Fudan UniversityShanghaiChina
| | - Jean‐Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires Développementales en Psychiatrie"Université Paris‐Saclay, Ecole Normale supérieure Paris‐Saclay, CNRS, Centre BorelliGif‐sur‐YvetteFrance
| | - Michael N. Smolka
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
| | - Nora C. Vetter
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
- Department of Child and Adolescent Psychiatry, Medical Faculty and University Hospital Carl Gustav CarusTUD Dresden University of TechnologyDresdenGermany
- Department of PsychologyMSB Medical School BerlinBerlinGermany
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11
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Kiss O, Qu Z, Müller-Oehring EM, Baker FC, Mirzasoleiman B. Sleep, brain systems, and persistent stress in early adolescents during COVID-19: Insights from the ABCD study. J Affect Disord 2024; 346:234-241. [PMID: 37944709 PMCID: PMC10842722 DOI: 10.1016/j.jad.2023.10.158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023]
Abstract
PURPOSE The first year of the COVID-19 pandemic constituted a major life stress event for many adolescents, associated with disrupted school, behaviors, social networks, and health concerns. However, pandemic-related stress was not equivalent for everyone and could have been influenced by pre-pandemic factors including brain structure and sleep, which both undergo substantial development during adolescence. Here, we analyzed clusters of perceived stress levels across the pandemic and determined developmentally relevant pre-pandemic risk factors in brain structure and sleep of persistently high stress during the first year of the COVID-19 pandemic. METHODS We investigated longitudinal changes in perceived stress at six timepoints across the first year of the pandemic (May 2020-March 2021) in 5559 adolescents (50 % female; age range: 11-14 years) in the United States (U.S.) participating in the Adolescent Brain Cognitive Development (ABCD) study. In 3141 of these adolescents, we fitted machine learning models to identify the most important pre-pandemic predictors from structural MRI brain measures and self-reported sleep data that were associated with persistently high stress across the first year of the pandemic. RESULTS Patterns of perceived stress levels varied across the pandemic, with 5 % reporting persistently high stress. Our classifiers accurately detected persistently high stress (AUC > 0.7). Pre-pandemic brain structure, specifically cortical volume in temporal regions, and cortical thickness in multiple parietal and occipital regions, predicted persistent stress. Pre-pandemic sleep difficulties and short sleep duration were also strong predictors of persistent stress, along with more advanced pubertal stage. CONCLUSIONS Adolescents showed variable stress responses during the first year of the COVID-19 pandemic, and some reported persistently high stress across the whole first year. Vulnerability to persistent stress was evident in several brain structural and self-reported sleep measures, collected before the pandemic, suggesting the relevance of other pre-existing individual factors beyond pandemic-related factors, for persistently high stress responses.
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Affiliation(s)
- Orsolya Kiss
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA.
| | - Zihan Qu
- Electrical and Computer Engineering Department, University of California Los Angeles, 420 Westwood Plaza, Los Angeles, CA 90095, USA
| | - Eva M Müller-Oehring
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA; Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Baharan Mirzasoleiman
- Computer Science Department, University of California Los Angeles, 404 Westwood Plaza, Los Angeles, CA 90095, USA
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12
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Andescavage N, Lu YC, Wu Y, Kapse K, Keller J, Von Kohorn I, Afifi A, Vezina G, Henderson D, Wessel DL, du Plessis AJ, Limperopoulos C. Intrauterine exposure to SARS-CoV-2 infection and early newborn brain development. Cereb Cortex 2024; 34:bhae041. [PMID: 38385890 PMCID: PMC10883413 DOI: 10.1093/cercor/bhae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 02/23/2024] Open
Abstract
Epidemiologic studies suggest that prenatal exposures to certain viruses may influence early neurodevelopment, predisposing offspring to neuropsychiatric conditions later in life. The long-term effects of maternal COVID-19 infection in pregnancy on early brain development, however, remain largely unknown. We prospectively enrolled infants in an observational cohort study for a single-site study in the Washington, DC Metropolitan Area from June 2020 to November 2021 and compared these infants to pre-pandemic controls (studied March 2014-February 2020). The primary outcomes are measures of cortical morphometry (tissue-specific volumes), along with global and regional measures of local gyrification index, and sulcal depth. We studied 210 infants (55 infants of COVID-19 unexposed mothers, 47 infants of COVID-19-positive mothers, and 108 pre-pandemic healthy controls). We found increased cortical gray matter volume (182.45 ± 4.81 vs. 167.29 ± 2.92) and accelerated sulcal depth of the frontal lobe (5.01 ± 0.19 vs. 4.40 ± 0.13) in infants of COVID-19-positive mothers compared to controls. We found additional differences in infants of COVID-19 unexposed mothers, suggesting both maternal viral exposures, as well as non-viral stressors associated with the pandemic, may influence early development and warrant ongoing follow-up.
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Affiliation(s)
- Nickie Andescavage
- Developing Brain Institute, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
- Division of Neonatology, Children’s National Hospital, 111 Michigavn Ave. NW, Washington, DC 20010, United States
- Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, 2300 Eye St. NW Washington, DC 20052, United States
| | - Yuan-Chiao Lu
- Developing Brain Institute, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
| | - Yao Wu
- Developing Brain Institute, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
| | - Kushal Kapse
- Developing Brain Institute, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
| | - Jennifer Keller
- Department of Obstetrics and Gynecology, School of Medicine and Health Sciences, George Washington University, 2300 Eye Ste. NW, Washington, DC 20052, United States
| | - Isabelle Von Kohorn
- Department of Neonatology, Holy Cross Hospital, 1500 Forest Glen Rd. Silver Spring, MD 20910, United States
| | - Ashraf Afifi
- Department of Hospital-Based Regional Neonatology at Woodbridge, Children’s National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
| | - Gilbert Vezina
- Developing Brain Institute, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
| | - Deidtra Henderson
- Developing Brain Institute, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
| | - David L Wessel
- Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, 2300 Eye St. NW Washington, DC 20052, United States
- Critical Care Medicine, Children’s National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
| | - Adre J du Plessis
- Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, 2300 Eye St. NW Washington, DC 20052, United States
- Prenatal Pediatrics Institute, Children’s National Hospital, 111 Michigan Ave. NW Washington, DC 20010, United States
| | - Catherine Limperopoulos
- Developing Brain Institute, Children's National Hospital, 111 Michigan Ave. NW, Washington, DC 20010, United States
- Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, 2300 Eye St. NW Washington, DC 20052, United States
- Prenatal Pediatrics Institute, Children’s National Hospital, 111 Michigan Ave. NW Washington, DC 20010, United States
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13
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Merz EC, Myers B, Hansen M, Simon KR, Strack J, Noble KG. Socioeconomic Disparities in Hypothalamic-Pituitary-Adrenal Axis Regulation and Prefrontal Cortical Structure. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:83-96. [PMID: 38090738 PMCID: PMC10714216 DOI: 10.1016/j.bpsgos.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/13/2023] [Accepted: 10/17/2023] [Indexed: 02/01/2024] Open
Abstract
Socioeconomic disadvantage during childhood predicts an increased risk for mental health problems across the life span. Socioeconomic disadvantage shapes multiple aspects of children's proximal environments and increases exposure to chronic stressors. Drawing from multiple literatures, we propose that childhood socioeconomic disadvantage may lead to adaptive changes in the regulation of stress response systems including the hypothalamic-pituitary-adrenal (HPA) axis. These changes, in turn, affect the development of prefrontal cortical (PFC) circuitry responsible for top-down control over cognitive and emotional processes. Translational findings indicate that chronic stress reduces dendritic complexity and spine density in the medial PFC and anterior cingulate cortex, in part through altered HPA axis regulation. Socioeconomic disadvantage has frequently been associated with reduced gray matter in the dorsolateral and ventrolateral PFC and anterior cingulate cortex and lower fractional anisotropy in the superior longitudinal fasciculus, cingulum bundle, and uncinate fasciculus during middle childhood and adolescence. Evidence of socioeconomic disparities in hair cortisol concentrations in children has accumulated, although null findings have been reported. Coupled with links between cortisol levels and reduced gray matter in the PFC and anterior cingulate cortex, these results support mechanistic roles for the HPA axis and these PFC circuits. Future longitudinal studies should simultaneously consider multiple dimensions of proximal factors, including cognitive stimulation, while focusing on epigenetic processes and genetic moderators to elucidate how socioeconomic context may influence the HPA axis and PFC circuitry involved in cognitive and emotional control. These findings, which point to modifiable factors, can be harnessed to inform policy and more effective prevention strategies.
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Affiliation(s)
- Emily C. Merz
- Department of Psychology, Colorado State University, Fort Collins, Colorado
| | - Brent Myers
- Department of Biomedical Sciences, Colorado State University, Fort Collins, Colorado
| | - Melissa Hansen
- Department of Psychology, Colorado State University, Fort Collins, Colorado
| | - Katrina R. Simon
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, New York
| | - Jordan Strack
- Department of Psychology, Colorado State University, Fort Collins, Colorado
| | - Kimberly G. Noble
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, New York
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14
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Defina S, Silva CCV, Cecil CAM, Tiemeier H, Felix JF, Mutzel RL, Jaddoe VWV. Associations of Arterial Thickness, Stiffness, and Blood Pressure With Brain Morphology in Early Adolescence: A Prospective Population-Based Study. Hypertension 2024; 81:162-171. [PMID: 37942629 DOI: 10.1161/hypertensionaha.123.21672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 10/26/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Arterial wall thickness and stiffness, and high blood pressure have been repeatedly associated with poorer brain health. However, previous studies largely focused on mid- or late-life stages. It is unknown whether any arterial health-related brain changes may be observable already in adolescence. METHODS We examined whether (1) carotid intima-media thickness, (2) carotid distensibility, and (3) systolic blood pressure and diastolic blood pressure, measured at the age of 10 years, were associated with brain volumes and white matter microstructure (ie, fractional anisotropy and mean diffusivity) at the age of 14 years. In addition to cross-sectional analyses, we explored associations with longitudinal change in each brain outcome from 10 to 14 years. Analyses were based on 5341 children from the Generation R Study. RESULTS Higher diastolic blood pressure was associated with lower total brain volume (β, -0.04 [95% CI, -0.07 to -0.01]) and gray matter volume (β, -0.04 [95% CI, -0.07 to -0.01]) at the age of 14 years, with stronger associations in higher diastolic blood pressure ranges. Similar associations emerged between systolic blood pressure and brain volumes, but these were no longer significant after adjusting for birth weight. No associations were observed between blood pressure and white matter microstructure or between carotid intima-media thickness or distensibility and brain morphology. CONCLUSIONS Arterial blood pressure, but not intima-media thickness and distensibility, is associated with structural neuroimaging markers in early adolescence. Volumetric measures may be more sensitive to these early arterial health differences compared with microstructural properties of the white matter, but further studies are needed to confirm these results and assess potential causal mechanisms.
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Affiliation(s)
- Serena Defina
- Generation R Study Group (S.D., C.C.V.S., J.F.F., V.W.V.J.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry (S.D., C.A.M.C., R.L.M.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carolina C V Silva
- Generation R Study Group (S.D., C.C.V.S., J.F.F., V.W.V.J.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Paediatrics (C.C.V.S., J.F.F., V.W.V.J.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry (S.D., C.A.M.C., R.L.M.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology (C.A.M.C., H.T.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands (C.A.M.C.)
| | - Henning Tiemeier
- Department of Epidemiology (C.A.M.C., H.T.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Social and Behavioral Sciences, T.H. Chan School of Public Health, Harvard University, Boston, MA (H.T.)
| | - Janine F Felix
- Generation R Study Group (S.D., C.C.V.S., J.F.F., V.W.V.J.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Paediatrics (C.C.V.S., J.F.F., V.W.V.J.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ryan L Mutzel
- Department of Child and Adolescent Psychiatry (S.D., C.A.M.C., R.L.M.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Department Nuclear Medicine (R.L.M.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- Generation R Study Group (S.D., C.C.V.S., J.F.F., V.W.V.J.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Paediatrics (C.C.V.S., J.F.F., V.W.V.J.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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15
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Panta OB, Gurung B, Giri SR, Adhikari A, Ghimire RK. Mean Intracranial Volume of Brain among Patients with Normal Magnetic Resonance Imaging Referred to the Department of Radiology and Imaging of a Tertiary Care Centre. JNMA J Nepal Med Assoc 2023; 61:934-937. [PMID: 38289763 PMCID: PMC10792718 DOI: 10.31729/jnma.8357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Indexed: 02/01/2024] Open
Abstract
Introduction The measurement of brain volume is an important aspect of the assessment of brain structure and function. However, limited data is available on brain volumetry in the Nepalese population. The study aimed to find the mean intracranial volume of the brain among patients with normal magnetic resonance imaging referred to the Department of Radiology and Imaging of a tertiary care centre. Methods A descriptive cross-sectional study was conducted among patients with normal magnetic resonance imaging referred to the Department of Radiology and Imaging in a tertiary care centre. All magnetic resonance imaging of the brain during the study period was reviewed by a radiologist. Magnetic resonance imaging with abnormal findings, clinical signs of neurological deficit, dementia and psychiatric symptoms were excluded from the study. A convenience sampling method was used. The point estimate was calculated at a 95% Confidence Interval. Results Among 285 Magnetic Resonance Imaging datasets, the mean intracranial volume was 1286.30±129.88 cc (1271.22-1301.38, 95% of Confidence Interval). The mean cerebral volume was 985.06±106.4 cc, cerebellar volume was 126.99±13.05 cc and brain stem volume was 19.97±2.54 cc. Conclusions The mean intracranial volume of the brain among patients with normal magnetic resonance imaging was found to be lower than other studies done in similar settings. Keywords brainstem; cerebellum; cerebrum; magnetic resonance imaging.
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Affiliation(s)
- Om Biju Panta
- Department of Radiology and Imaging, Nepal Mediciti Hospital, Bhaisepati, Lalitpur, Nepal
| | - Bibek Gurung
- Department of Radiology and Imaging, Nepal Mediciti Hospital, Bhaisepati, Lalitpur, Nepal
| | - Shahjan Raj Giri
- Department of Radiology and Imaging, Nepal Mediciti Hospital, Bhaisepati, Lalitpur, Nepal
| | - Abhishek Adhikari
- Department of Radiology and Imaging, Nepal Mediciti Hospital, Bhaisepati, Lalitpur, Nepal
| | - Ram Kumar Ghimire
- Department of Radiology and Imaging, Nepal Mediciti Hospital, Bhaisepati, Lalitpur, Nepal
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Rojas-Ramos JCR, Pelaez JM, Ono SE, Ramos CS, de Carvalho Neto A, de Lacerda L, Nesi-França S. Cerebral Cortical Thickness Morphometry and Neurocognitive Correlations in Adolescents With Congenital Hypothyroidism. J Clin Endocrinol Metab 2023; 108:e1496-e1505. [PMID: 37403211 DOI: 10.1210/clinem/dgad391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/06/2023]
Abstract
CONTEXT Subtle cognitive impairments have been described in children with congenital hypothyroidism (CH) detected by neonatal screening (NS), even with early and adequate treatment. Patients with CH may present with brain cortical thickness (CT) abnormalities, which may be associated with neurocognitive impairments. OBJECTIVE This work aimed to evaluate the CT in adolescents with CH detected by the NS Program (Paraná, Brazil), and to correlate possible abnormalities with cognitive level and variables of neurocognitive prognosis. METHODS A review was conducted of medical records followed by psychometric evaluation of adolescents with CH. Brain magnetic resonance imaging with analysis of 33 brain areas of each hemisphere was performed in 41 patients (29 girls) and in a control group of 20 healthy adolescents. CT values were correlated with Full-scale Intelligence Quotient (FSIQ) scores, age at start of treatment, pretreatment thyroxine levels, and maternal schooling. RESULTS No significant difference in CT between patients and controls were found. However, there was a trend toward thinning in the right lateral orbitofrontal cortex among patients and in the right postcentral gyrus cortex among controls. CT correlated significantly with FSIQ scores and with age at start of treatment in 1 area, and with hypothyroidism severity in 5 brain areas. Maternal schooling level did not correlate with CT but was significantly correlated with FSIQ. Cognitive level was within average in 44.7% of patients (13.2% had intellectual deficiency). CONCLUSION There was a trend toward morphometric alterations in the cerebral cortex of adolescents with CH compared with healthy controls. The correlations between CT and variables of neurocognitive prognosis emphasize the influence of hypothyroidism on cortical development. Socioeconomic status exerts a limiting factor on cognitive outcome.
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Affiliation(s)
- Juliana Cristina Romero Rojas-Ramos
- Fundação Ecumênica de Proteção ao Excepcional (FEPE), Curitiba, Paraná 80210-170, Brazil
- Serviço de Endocrinologia Pediátrica Professor Romolo Sandrini-Complexo Hospital de Clínicas da Universidade Federal do Paraná (UEP-CHC-UFPR), Curitiba, Paraná 80060-240, Brazil
| | - Julita Maria Pelaez
- Fundação Ecumênica de Proteção ao Excepcional (FEPE), Curitiba, Paraná 80210-170, Brazil
| | - Sergio Eiji Ono
- Clínica DAPI-Diagnóstico Avançado Por Imagem, Curitiba, Paraná 80430-210, Brazil
| | - Cássio Slompo Ramos
- Pontifícia Universidade Católica do Paraná, Curitiba, Paraná 80215-901, Brazil
| | | | - Luiz de Lacerda
- Serviço de Endocrinologia Pediátrica Professor Romolo Sandrini-Complexo Hospital de Clínicas da Universidade Federal do Paraná (UEP-CHC-UFPR), Curitiba, Paraná 80060-240, Brazil
| | - Suzana Nesi-França
- Serviço de Endocrinologia Pediátrica Professor Romolo Sandrini-Complexo Hospital de Clínicas da Universidade Federal do Paraná (UEP-CHC-UFPR), Curitiba, Paraná 80060-240, Brazil
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17
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Khodaei M, Dobbins DL, Laurienti PJ, Simpson SL, Arcury TA, Quandt SA, Anderson KA, Scott RP, Burdette JH. Neuroanatomical differences in Latinx children from rural farmworker families and urban non-farmworker families and related associations with pesticide exposure. Heliyon 2023; 9:e21929. [PMID: 38027758 PMCID: PMC10656267 DOI: 10.1016/j.heliyon.2023.e21929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/28/2023] [Accepted: 10/31/2023] [Indexed: 12/01/2023] Open
Abstract
Exposure to pesticides in humans may lead to changes in brain structure and function and increase the likelihood of experiencing neurodevelopmental disorders. Despite the potential risks, there is limited neuroimaging research on the effects of pesticide exposure on children, particularly during the critical period of brain development. Here we used voxel-based morphometry (VBM) and diffusion tensor imaging (DTI) from magnetic resonance images (MRI) to investigate neuroanatomical differences between Latinx children (n = 71) from rural, farmworker families (FW; n = 48) and urban, non-farmworker families (NFW; n = 23). Data presented here serves as a baseline for our ongoing study examining the longitudinal effects of living in a rural environment on neurodevelopment and cognition in children. The VBM analysis revealed that NFW children had higher volume in several distinct regions of white matter compared to FW children. Tract-based spatial statistics (TBSS) of DTI data also indicated NFW children had higher fractional anisotropy (FA) in several key white matter tracts. Although the difference was not as pronounced as white matter, the VBM analysis also found higher gray matter volume in selected regions of the frontal lobe in NFW children. Notably, white matter and gray matter findings demonstrated a high degree of overlap in the medial frontal lobe, a brain region predominantly linked to decision-making, error processing, and attention functions. To gain further insights into the underlying causes of the observed differences in brain structure between the two groups, we examined the association of organochlorine (OC) and organophosphate (OP) exposure collected from passive dosimeter wristbands with brain structure. Based on our previous findings within this data set, demonstrating higher OC exposure in children from non-farmworker families, we hypothesized OC might play a critical role in structural differences between NFW and FW children. We discovered a significant positive correlation between the number of types of OC exposure and the structure of white matter. The regions with significant association with OC exposure were in agreement with the findings from the FW-NFW groups comparison analysis. In contrast, OPs did not have a statistically significant association with brain structure. This study is among the first multimodal neuroimaging studies examining the brain structure of children exposed to agricultural pesticides, specifically OC. These findings suggest OC pesticide exposure may disrupt normal brain development in children, highlighting the need for further neuroimaging studies within this vulnerable population.
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Affiliation(s)
- Mohammadreza Khodaei
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Dorothy L. Dobbins
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Paul J. Laurienti
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Sean L. Simpson
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Thomas A. Arcury
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Sara A. Quandt
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Kim A. Anderson
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
| | - Richard P. Scott
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
| | - Jonathan H. Burdette
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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18
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Parsaei M, Sanjari Moghaddam H, Aarabi MH. Sex differences in brain structures throughout the lifetime. AGING BRAIN 2023; 4:100098. [PMID: 37809276 PMCID: PMC10550774 DOI: 10.1016/j.nbas.2023.100098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 09/08/2023] [Accepted: 09/19/2023] [Indexed: 10/10/2023] Open
Affiliation(s)
| | - Hossein Sanjari Moghaddam
- Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Aarabi
- Department of Neuroscience (DNS), Padova Neuroscience Center, University of Padova, Padua, Italy
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19
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Feusner JD, Kurth F, Luders E, Ly R, Wong WW. Cytoarchitectonically Defined Volumes of Early Extrastriate Visual Cortex in Unmedicated Adults With Body Dysmorphic Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:909-917. [PMID: 34688924 PMCID: PMC9037993 DOI: 10.1016/j.bpsc.2021.10.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/05/2021] [Accepted: 10/05/2021] [Indexed: 04/23/2023]
Abstract
BACKGROUND Individuals with body dysmorphic disorder (BDD) misperceive that they have prominent defects in their appearance, resulting in preoccupations, time-consuming rituals, and distress. Previous neuroimaging studies have found abnormal activation patterns in the extrastriate visual cortex, which may underlie experiences of distorted perception of appearance. Correspondingly, we investigated gray matter volumes in individuals with BDD in the early extrastriate visual cortex using cytoarchitectonically defined maps that were previously derived from postmortem brains. METHODS We analyzed T1-weighted magnetic resonance imaging data from 133 unmedicated male and female participants (BDD: n = 65; healthy control subjects: n = 68). We used cytoarchitectonically defined probability maps for the early extrastriate cortex, consisting of areas corresponding to V2, V3d, V3v/VP, V3a, and V4v. Gray matter volumes were compared between groups, supplemented by testing associations with clinical symptoms. RESULTS The BDD group exhibited significantly larger gray matter volumes in the left and right early extrastriate cortex. Region-specific follow-up analyses revealed multiple subregions showing larger volumes in BDD, significant in the left V4v. There were no significant associations after corrections for multiple comparisons between gray matter volumes in early extrastriate cortex and BDD symptoms, comorbid symptoms, or duration of illness. CONCLUSIONS Greater volumes of the early extrastriate visual cortex were evident in those with BDD, which aligns with outcomes of prior studies revealing BDD-specific functional abnormalities in these regions. Enlarged volumes of the extrastriate cortex in BDD might manifest during neurodevelopment, which could predispose individuals to aberrant visual perception and contribute to the core phenotype of distortion of perception for appearance.
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Affiliation(s)
- Jamie D Feusner
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry and Biobehavioral Sciences, School of Medicine, University of California Los Angeles, Los Angeles, California.
| | - Florian Kurth
- School of Psychology, University of Auckland, Auckland, New Zealand
| | - Eileen Luders
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden; Laboratory of Neuro Imaging, School of Medicine, University of Southern California, Los Angeles, California; School of Psychology, University of Auckland, Auckland, New Zealand
| | - Ronald Ly
- Department of Psychiatry and Biobehavioral Sciences, School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Wan-Wa Wong
- Department of Psychiatry and Biobehavioral Sciences, School of Medicine, University of California Los Angeles, Los Angeles, California
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20
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Chan K, Ghazvanchahi A, Rabba D, Vidarsson L, Wagner MW, Ertl-Wagner BB, Khademi A. Brain Maturation Patterns on Normalized FLAIR MR Imaging in Children and Adolescents. AJNR Am J Neuroradiol 2023; 44:1077-1083. [PMID: 37591770 PMCID: PMC10494943 DOI: 10.3174/ajnr.a7966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/18/2023] [Indexed: 08/19/2023]
Abstract
BACKGROUND AND PURPOSE Signal analysis of FLAIR sequences is gaining momentum for studying neurodevelopment and brain maturation, but FLAIR intensity varies across scanners and needs to be normalized. This study aimed to establish normative values for standardized FLAIR intensity in the pediatric brain. MATERIALS AND METHODS A new automated algorithm for signal normalization was used to standardize FLAIR intensity across scanners and subjects. Mean intensity was extracted from GM, WM, deep GM, and cortical GM regions. Regression curves were fitted across the pediatric age range, and ANOVA was used to investigate intensity differences across age groups. Correlations between intensity and regional volume were also examined. RESULTS We analyzed 429 pediatric FLAIR sequences in children 2-19 years of age with a median age of 11.2 years, including 199 males and 230 females. WM intensity had a parabolic relationship with age, with significant differences between various age groups (P < .05). GM and cortical GM intensity increased over the pediatric age range, with significant differences between early childhood and adolescence (P < .05). There were no significant relationships between volume and intensity in early childhood, while there were significant positive and negative correlations (P < .05) in WM and GM, respectively, for increasing age groups. Only the oldest age group showed significant differences between males and females (P < .05). CONCLUSIONS This work presents a FLAIR intensity standardization algorithm to normalize intensity across large data sets, which allows FLAIR intensity to be used to compare regions and individuals as a surrogate measure of the developing pediatric brain.
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Affiliation(s)
- K Chan
- From the Department of Electrical, Computer and Biomedical Engineering (K.C., A.G., D.R., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, Science Tech (iBEST) (K.C., A.G., D.R., A.K.), a Partnership between St. Michael's Hospital and Toronto Metropolitan University, Toronto, Ontario, Canada
| | - A Ghazvanchahi
- From the Department of Electrical, Computer and Biomedical Engineering (K.C., A.G., D.R., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, Science Tech (iBEST) (K.C., A.G., D.R., A.K.), a Partnership between St. Michael's Hospital and Toronto Metropolitan University, Toronto, Ontario, Canada
| | - D Rabba
- From the Department of Electrical, Computer and Biomedical Engineering (K.C., A.G., D.R., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, Science Tech (iBEST) (K.C., A.G., D.R., A.K.), a Partnership between St. Michael's Hospital and Toronto Metropolitan University, Toronto, Ontario, Canada
| | - L Vidarsson
- Department of Diagnostic Imaging (L.V., M.W.W., B.B.E.-W.), Division of Neuroradiology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Imaging (L.V., M.W.W., B.B.E.-W.), University of Toronto, Toronto, Ontario, Canada
| | - M W Wagner
- Department of Diagnostic Imaging (L.V., M.W.W., B.B.E.-W.), Division of Neuroradiology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Imaging (L.V., M.W.W., B.B.E.-W.), University of Toronto, Toronto, Ontario, Canada
- Department of Neurology (M.W.W.), University Hospital Ausburg, Ausburg, Germany
| | - B B Ertl-Wagner
- Department of Diagnostic Imaging (L.V., M.W.W., B.B.E.-W.), Division of Neuroradiology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Imaging (L.V., M.W.W., B.B.E.-W.), University of Toronto, Toronto, Ontario, Canada
| | - A Khademi
- From the Department of Electrical, Computer and Biomedical Engineering (K.C., A.G., D.R., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, Science Tech (iBEST) (K.C., A.G., D.R., A.K.), a Partnership between St. Michael's Hospital and Toronto Metropolitan University, Toronto, Ontario, Canada
- Keenan Research Center for Biomedical Science (A.K.), St. Michael's Hospital, Unity Health Network, Toronto, Ontario, Canada
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21
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Soylu F, May K, Kana R. White and gray matter correlates of theory of mind in autism: a voxel-based morphometry study. Brain Struct Funct 2023; 228:1671-1689. [PMID: 37452864 DOI: 10.1007/s00429-023-02680-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 07/02/2023] [Indexed: 07/18/2023]
Abstract
Autism spectrum disorder (ASD) is characterized by difficulties in theory of mind (ToM) and social communication. Studying structural and functional correlates of ToM in the brain and how autistic and nonautistic groups differ in terms of these correlates can help with diagnosis and understanding the biological mechanisms of ASD. In this study, we investigated white matter volume (WMV) and gray matter volume (GMV) differences between matching autistic and nonautistic samples, and how these structural features relate to age and ToM skills, indexed by the Reading the Mind in the Eyes (RMIE) measure. The results showed widespread GMV and WMV differences between the two groups in regions crucial for social processes. The autistic group did not express the typically observed negative GMV and positive WMV correlations with age at the same level as the nonautistic group, pointing to abnormalities in developmental structural changes. In addition, we found differences between the two groups in how GMV relates to ToM, particularly in the left frontal regions, and how WMV relates to ToM, mostly in the cingulate and corpus callosum. Finally, GMV in the left insula, a region that is part of the salience network, was found to be crucial in distinguishing ToM performance between the two groups.
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Affiliation(s)
- Firat Soylu
- Educational Psychology Program, The University of Alabama, Tuscaloosa, USA.
| | - Kaitlyn May
- Educational Psychology Program, The University of Alabama, Tuscaloosa, USA
| | - Rajesh Kana
- Department of Psychology, & the Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, USA
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22
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Hong YJ, Ho S, Jeong JH, Park KH, Kim S, Wang MJ, Choi SH, Yang DW. Impacts of baseline biomarkers on cognitive trajectories in subjective cognitive decline: the CoSCo prospective cohort study. Alzheimers Res Ther 2023; 15:132. [PMID: 37550761 PMCID: PMC10405399 DOI: 10.1186/s13195-023-01273-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 07/12/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is a risk factor for Alzheimer's disease (AD); however, the rates of cognitive decline are variable according to underlying pathologies and biomarker status. We conducted an observational study and aimed to investigate baseline characteristics and biomarkers related with cognitive declines in SCD. Our study also assessed whether SCD participants showed different cognitive and biomarker trajectories according to baseline amyloid deposition. METHODS This study is a part of a longitudinal cohort study conducted in multi-centers in South Korea between 2018 and 2021. Individuals (≥ 60 years old) with persistent cognitive complaint despite of normal cognitive functions were eligible for the study. All participants underwent neuropsychological tests, florbetaben PET scans, plasma amyloid markers, and brain MRI scans. Annual follow-up evaluations included neuropsychological tests and assessments for clinical progressions. Regional brain volumetry and amyloid burden represented by PET-based standardized uptake value ratio (SUVR) were measured. We compared cognitive and brain atrophic changes over 24 months between amyloid positive-SCD (Aβ + SCD) and amyloid negative-SCD (Aβ-SCD) groups. Baseline factors associated with cognitive outcomes were investigated. RESULTS A total of 120 participants with SCD were enrolled and 107 completed follow-up evaluations. Aβ + SCD participants (n = 20, 18.5%) were older and more frequently APOE4 carriers compared with Aβ-SCD participants (n = 87). Baseline cognitive scores were not different between the two groups, except the Seoul Verbal Learning Test (SVLT) scores showing lower scores in the Aβ + SCD group. After 24 months, plasma amyloid markers were higher, and regional volumes (entorhinal, hippocampal, and pallidum) were smaller in the Aβ + SCD participants compared with Aβ-SCD participants adjusted by age, sex, and baseline volumes. SVLT delayed recall and controlled oral word association test (COWAT) scores indicated more declines in Aβ + SCD participants. Baseline left entorhinal volumes were related to verbal memory decline, while baseline frontal volumes and global SUVR values were related to frontal functional decline. CONCLUSION Aβ + SCD participants showed more cognitive decline and medial temporal atrophic changes during 24 months. Baseline neurodegeneration and amyloid burden were related with future cognitive trajectories in SCD. TRIAL REGISTRATION This study was registered at CRIS (KCT0003397).
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Affiliation(s)
- Yun Jeong Hong
- Department of Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - SeongHee Ho
- Department of Neurology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Kee Hyung Park
- Department of Neurology, Gachon University Gil Hospital, Incheon, South Korea
| | - SangYun Kim
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Min Jeong Wang
- Department of Neurology, Roa Neurology Clinic, Seongnam, South Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, South Korea
| | - Dong Won Yang
- Department of Neurology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
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23
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Shinde K, Craig BT, Hassett J, Dlamini N, Brooks BL, Kirton A, Carlson HL. Alterations in cortical morphometry of the contralesional hemisphere in children, adolescents, and young adults with perinatal stroke. Sci Rep 2023; 13:11391. [PMID: 37452141 PMCID: PMC10349116 DOI: 10.1038/s41598-023-38185-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 07/04/2023] [Indexed: 07/18/2023] Open
Abstract
Perinatal stroke causes most hemiparetic cerebral palsy and cognitive dysfunction may co-occur. Compensatory developmental changes in the intact contralesional hemisphere may mediate residual function and represent targets for neuromodulation. We used morphometry to explore cortical thickness, grey matter volume, gyrification, and sulcal depth of the contralesional hemisphere in children, adolescents, and young adults after perinatal stroke and explored associations with motor, attention, and executive function. Participants aged 6-20 years (N = 109, 63% male) with unilateral perinatal stroke underwent T1-weighted imaging. Participants had arterial ischemic stroke (AIS; n = 36), periventricular venous infarction (PVI; n = 37) or were controls (n = 36). Morphometry was performed using the Computational Anatomy Toolbox (CAT12). Group differences and associations with motor and executive function (in a smaller subsample) were assessed. Group comparisons revealed areas of lower cortical thickness in contralesional hemispheres in both AIS and PVI and greater gyrification in AIS compared to controls. Areas of greater grey matter volume and sulcal depth were also seen for AIS. The PVI group showed lower grey matter volume in cingulate cortex and less volume in precuneus relative to controls. No associations were found between morphometry metrics, motor, attention, and executive function. Cortical structure of the intact contralesional hemisphere is altered after perinatal stroke. Alterations in contralesional cortical morphometry shown in perinatal stroke may be associated with different mechanisms of damage or timing of early injury. Further investigations with larger samples are required to more thoroughly explore associations with motor and cognitive function.
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Affiliation(s)
- Karan Shinde
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Calgary Pediatric Stroke Program, Alberta Children's Hospital, 28 Oki Drive NW, Calgary, AB, Canada
| | - Brandon T Craig
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Calgary Pediatric Stroke Program, Alberta Children's Hospital, 28 Oki Drive NW, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Jordan Hassett
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Calgary Pediatric Stroke Program, Alberta Children's Hospital, 28 Oki Drive NW, Calgary, AB, Canada
| | - Nomazulu Dlamini
- Children's Stroke Program, Hospital for Sick Children, Toronto, ON, Canada
- Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Brian L Brooks
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada
- Neurosciences Program, Alberta Children's Hospital, Calgary, AB, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Psychology, University of Calgary, Calgary, AB, Canada
| | - Adam Kirton
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Calgary Pediatric Stroke Program, Alberta Children's Hospital, 28 Oki Drive NW, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Helen L Carlson
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- Calgary Pediatric Stroke Program, Alberta Children's Hospital, 28 Oki Drive NW, Calgary, AB, Canada.
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada.
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
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24
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Wang Y, Chen L, Wu Z, Li T, Sun Y, Cheng J, Zhu H, Lin W, Wang L, Huang W, Li G. Longitudinal development of the cerebellum in human infants during the first 800 days. Cell Rep 2023; 42:112281. [PMID: 36964904 DOI: 10.1016/j.celrep.2023.112281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 11/24/2022] [Accepted: 03/03/2023] [Indexed: 03/26/2023] Open
Abstract
Revealing early dynamic development of the normative cerebellar structures contributes to exploring cerebellum-related neurodevelopmental disorders. Here, leveraging infant-tailored cerebellar image processing techniques, we studied the dynamic volumetric developmental trajectories of cerebellum and 27 cerebellar sub-regions and their relationships with behavioral scores based on 511 high-resolution structural MRI scans during the first 800 postnatal days. The ratio of the entire cerebellum to the intracranial volume increases rapidly at first and then peaks at 13 months after birth. Both the absolute and relative volumes of most cerebellar sub-structures exhibit rapid increase at first, then the relative volumes decrease slightly after arriving at peaks (except for X lobules). Each lobule depicts larger absolute volume in males than in females. The within-subject variation of the cerebellar volumetric percentile score is generally stable. The volumetric development of several lobules (e.g., V, Crus I, and Crus II) has a significantly positive correlation with fine motor skills during the age range examined.
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Affiliation(s)
- Ya Wang
- National Key Discipline of Human Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Liangjun Chen
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Zhengwang Wu
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tengfei Li
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yue Sun
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jiale Cheng
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Weili Lin
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Li Wang
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
| | - Wenhua Huang
- National Key Discipline of Human Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
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25
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Kovacs-Balint ZA, Raper J, Richardson R, Gopakumar A, Kettimuthu KP, Higgins M, Feczko E, Earl E, Ethun KF, Li L, Styner M, Fair D, Bachevalier J, Sanchez MM. The role of puberty on physical and brain development: A longitudinal study in male Rhesus Macaques. Dev Cogn Neurosci 2023; 60:101237. [PMID: 37031512 PMCID: PMC10114189 DOI: 10.1016/j.dcn.2023.101237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 02/20/2023] [Accepted: 03/21/2023] [Indexed: 04/07/2023] Open
Abstract
This study examined the role of male pubertal maturation on physical growth and development of neurocircuits that regulate stress, emotional and cognitive control using a translational nonhuman primate model. We collected longitudinal data from male macaques between pre- and peri-puberty, including measures of physical growth, pubertal maturation (testicular volume, blood testosterone -T- concentrations) and brain structural and resting-state functional MRI scans to examine developmental changes in amygdala (AMY), hippocampus (HIPPO), prefrontal cortex (PFC), as well as functional connectivity (FC) between those regions. Physical growth and pubertal measures increased from pre- to peri-puberty. The indexes of pubertal maturation -testicular size and T- were correlated at peri-puberty, but not at pre-puberty (23 months). Our findings also showed ICV, AMY, HIPPO and total PFC volumetric growth, but with region-specific changes in PFC. Surprisingly, FC in these neural circuits only showed developmental changes from pre- to peri-puberty for HIPPO-orbitofrontal FC. Finally, testicular size was a better predictor of brain structural maturation than T levels -suggesting gonadal hormones-independent mechanisms-, whereas T was a strong predictor of functional connectivity development. We expect that these neural circuits will show more drastic pubertal-dependent maturation, including stronger associations with pubertal measures later, during and after male puberty.
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Affiliation(s)
- Z A Kovacs-Balint
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA.
| | - J Raper
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA; Dept. of Pediatrics, Emory University, Atlanta, GA 30322, USA
| | - R Richardson
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - A Gopakumar
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - K P Kettimuthu
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - M Higgins
- Office of Nursing Research, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322, USA
| | - E Feczko
- Dept. of Pediatrics, University of Minnesota, Minneapolis, MN 55414, USA; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414, USA
| | - E Earl
- Dept. of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR 97239, USA
| | - K F Ethun
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - L Li
- Dept. of Pediatrics, Emory University, Atlanta, GA 30322, USA; Marcus Autism Center; Children's Healthcare of Atlanta, GA, USA
| | - M Styner
- Dept. of Psychiatry, University of North Carolina, Chapel Hill, NC 27514, USA
| | - D Fair
- Dept. of Pediatrics, University of Minnesota, Minneapolis, MN 55414, USA; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414, USA
| | - J Bachevalier
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - M M Sanchez
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA; Dept. of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA 30322, USA
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Hong YJ, Lee SB, Kim SH, Lee MA, Park JW, Yang DW. Development of a home-based cognitive test for cognitive monitoring in subjective cognitive decline with high risk of Alzheimer's disease. Medicine (Baltimore) 2023; 102:e33096. [PMID: 36862894 PMCID: PMC9981357 DOI: 10.1097/md.0000000000033096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND AND PURPOSE Subjective cognitive decline (SCD) indicates a self-perceived persistent cognitive worsening despite of normal performance in standard neuropsychological tests. Owing to its heterogeneity and potential risk of Alzheimer's disease, baseline biomarkers to predict cognitive decline are important. In the present study, we developed a home-based cognitive test (HCT) to monitor cognitive changes regularly without visiting hospitals. This study aims to compare cognitive and biomarker trajectories during a 48-month period between amyloid positive SCD and amyloid negative SCD subjects. METHODS Data will be collected from a prospective observational cohort study conducted in South Korea. Eighty participants with SCD aged ≥ 60 years are eligible for the study. All participants undergo annual neuropsychological tests and neurological examinations, bi-annual brain MRI scans and plasma amyloid markers, and baseline florbetaben Positron Emission Tomography scans. The amyloid burden and regional volumes will be measured. Cognitive and biomarker changes will be compared between the amyloid-positive SCD and amyloid negative SCD groups. Validation would be performed to assess reliability and feasibility of HCT. CONCLUSIONS This study would suggest a perspective on SCD in terms of cognitive and biomarker trajectories. Baseline characteristics and biomarker status might affect faster cognitive decline and future biomarker trajectories. In addition, HCT could be an alternative option of in-person neuropsychological tests to track cognitive changes without visiting hospitals.
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Affiliation(s)
- Yun Jeong Hong
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
- * Correspondence: Yun Jeong Hong, Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, 271 Cheonbo-ro, Uijeongbu 11765, Gyeonggi-do, Korea (e-mail: )
| | - Si Baek Lee
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Seong Hoon Kim
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Myung Ah Lee
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Jeong Wook Park
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Dong Won Yang
- Department of Neurology, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul, Korea
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Cerri S, Greve DN, Hoopes A, Lundell H, Siebner HR, Mühlau M, Van Leemput K. An open-source tool for longitudinal whole-brain and white matter lesion segmentation. Neuroimage Clin 2023; 38:103354. [PMID: 36907041 PMCID: PMC10024238 DOI: 10.1016/j.nicl.2023.103354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/10/2023] [Accepted: 02/19/2023] [Indexed: 03/06/2023]
Abstract
In this paper we describe and validate a longitudinal method for whole-brain segmentation of longitudinal MRI scans. It builds upon an existing whole-brain segmentation method that can handle multi-contrast data and robustly analyze images with white matter lesions. This method is here extended with subject-specific latent variables that encourage temporal consistency between its segmentation results, enabling it to better track subtle morphological changes in dozens of neuroanatomical structures and white matter lesions. We validate the proposed method on multiple datasets of control subjects and patients suffering from Alzheimer's disease and multiple sclerosis, and compare its results against those obtained with its original cross-sectional formulation and two benchmark longitudinal methods. The results indicate that the method attains a higher test-retest reliability, while being more sensitive to longitudinal disease effect differences between patient groups. An implementation is publicly available as part of the open-source neuroimaging package FreeSurfer.
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Affiliation(s)
- Stefano Cerri
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA.
| | - Douglas N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Radiology, Harvard Medical School, USA
| | - Andrew Hoopes
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA
| | - Henrik Lundell
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Copenhagen, Denmark; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Denmark
| | - Mark Mühlau
- Department of Neurology and TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Germany
| | - Koen Van Leemput
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Health Technology, Technical University of Denmark, Denmark
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Godfrey JR, Howell BR, Mummert A, Shi Y, Styner M, Wilson ME, Sanchez M. Effects of social rank and pubertal delay on brain structure in female rhesus macaques. Psychoneuroendocrinology 2023; 149:105987. [PMID: 36529113 PMCID: PMC9931669 DOI: 10.1016/j.psyneuen.2022.105987] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 12/05/2022]
Abstract
Adverse social experience during childhood and adolescence leads to developmental alterations in emotional and stress regulation and underlying neurocircuits. We examined the consequences of social subordination (low social rank) in juvenile female rhesus monkeys, as an ethologically valid model of chronic social stressor exposure, on brain structural and behavioral development through the pubertal transition. Adolescence is a developmental period of extensive brain remodeling and increased emotional and stress reactivity. Puberty-induced increases in gonadal hormones, particularly estradiol (E2), are likely involved due to its organizational effects on the brain and behavior. Thus, we also examined how experimentally delaying pubertal onset with Lupron (gonadotropin releasing hormone -GnRH- agonist used clinically to delay early puberty) interacted with social rank (dominant vs. subordinate) to affect brain and behavioral outcomes. Using a longitudinal experimental design, structural MRI (sMRI) scans were collected on socially housed juvenile female rhesus monkeys living in indoor-outdoor enclosures prior to the onset of puberty (18-25 months), defined as menarche or the initial occurrence of perineal swelling and coloration, and again at 29-36 months, when all control animals had reached puberty but none of the Lupron-treated had. We examined the effects of both social rank and pubertal delay on overall structural brain volume (i.e. intracranial, grey matter (GM) and white matter (WM) volumes), as well as on cortico-limbic regions involved in emotion and stress regulation: amygdala (AMYG), hippocampus (HC), and prefrontal cortex (PFC). Measures of stress physiology, social behavior, and emotional reactivity were collected to examine functional correlates of the brain structural effects. Apart from expected developmental effects, subordinates had bigger AMYG volumes than dominant animals, most notably in the right hemisphere, but pubertal delay with Lupron-treatment abolished those differences, suggesting a role of gonadal hormones potentiating the brain structural impact of social stress. Subordinates also had elevated baseline cortisol, indicating activation of stress systems. In general, Lupron-treated subjects had smaller AMYG and HC volume than controls, but larger total PFC (driven by bigger GM volumes), and different, region-specific, developmental patterns dependent on age and social rank. These findings highlight a region-specific effect of E2 on structural development during female adolescence, independent of those due to chronological age. Pubertal delay and AMYG volume, in turn, predicted differences in emotional reactivity and social behavior. These findings suggest that exposure to developmental increases in E2 modifies the consequences of adverse social experience on the volume of cortico-limbic regions involved in emotional and stress regulation during maturation. But, even more importantly, they indicate different brain structural effects of chronological age and pubertal developmental stage in females, which are very difficult to disentangle in human studies. These findings have additional relevance for young girls who experience prolonged pubertal delays or for those whose puberty is clinically arrested by pharmacological administration of Lupron.
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Affiliation(s)
- Jodi R Godfrey
- Yerkes National Primate Research Center, Emory University, 954 Gatewood Road, Atlanta, GA 30329, USA
| | - Brittany R Howell
- Yerkes National Primate Research Center, Emory University, 954 Gatewood Road, Atlanta, GA 30329, USA; Department of Psychiatry & Behavioral Sciences, School of Medicine, Emory University, 12 Executive Park Drive NE #200, Atlanta, GA 30322, USA; Fralin Biomedical Research Institute at Virginia Tech Carilion, 2 Riverside Circle, Roanoke, VA 24016, USA; Department of Human Development and Family Science, Virginia Tech, 366 Wallace Hall, 295 West Campus Drive, Blacksburg, VA 24061, USA
| | - Amanda Mummert
- Department of Anthropology, Emory University, 1557 Dickey Drive, Atlanta, GA 30322, USA
| | - Yundi Shi
- Department of Psychiatry, University of North Carolina, 352 Medical School Wing C, Chapel Hill, NC 27599, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, 352 Medical School Wing C, Chapel Hill, NC 27599, USA
| | - Mark E Wilson
- Yerkes National Primate Research Center, Emory University, 954 Gatewood Road, Atlanta, GA 30329, USA; Department of Psychiatry & Behavioral Sciences, School of Medicine, Emory University, 12 Executive Park Drive NE #200, Atlanta, GA 30322, USA
| | - Mar Sanchez
- Yerkes National Primate Research Center, Emory University, 954 Gatewood Road, Atlanta, GA 30329, USA; Department of Psychiatry & Behavioral Sciences, School of Medicine, Emory University, 12 Executive Park Drive NE #200, Atlanta, GA 30322, USA.
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Garofalo M, Vansenne F, Verbeek DS, Sival DA. The pathogenetic basis for a disease continuum in early- and late-onset ataxia-dystonia supports a unified genetic diagnostic approach. Eur J Paediatr Neurol 2023; 43:44-51. [PMID: 36905829 DOI: 10.1016/j.ejpn.2023.02.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 02/02/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023]
Abstract
INTRODUCTION Genetically inherited ataxic disorders are classified by their age of disease presentation into early- and late-onset ataxia (EOA and LOA, presenting before or after the 25th year-of-life). In both disease groups, comorbid dystonia co-occurs frequently. Despite overlapping genes and pathogenetic features, EOA, LOA and dystonia are considered as different genetic entities with a separate diagnostic approach. This often leads to diagnostic delay. So far, the possibility of a disease continuum between EOA, LOA and mixed ataxia-dystonia has not been explored in silico. In the present study, we analyzed the pathogenetic mechanisms underlying EOA, LOA and mixed ataxia-dystonia. METHODS We analyzed the association of 267 ataxia genes with comorbid dystonia and anatomical MRI lesions in literature. We compared anatomical damage, biological pathways, and temporal cerebellar gene expression between EOA, LOA and mixed ataxia-dystonia. RESULTS The majority (≈65%) of ataxia genes were associated with comorbid dystonia in literature. Both EOA and LOA gene groups with comorbid dystonia were significantly associated with lesions in the cortico-basal-ganglia-pontocerebellar network. EOA, LOA and mixed ataxia-dystonia gene groups were enriched for biological pathways related to nervous system development, neural signaling and cellular processes. All genes revealed similar cerebellar gene expression levels before and after 25 years of age and during cerebellar development. CONCLUSION In EOA, LOA and mixed ataxia-dystonia gene groups, our findings show similar anatomical damage, underlying biological pathways and temporal cerebellar gene expression patterns. These findings may suggest the existence of a disease continuum, supporting the diagnostic use of a unified genetic approach.
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Affiliation(s)
- M Garofalo
- Department of Pediatrics, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - F Vansenne
- Department of Clinical Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - D S Verbeek
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - D A Sival
- Department of Pediatrics, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
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Park SW, Cardinaux A, Crozier D, Russo M, Kjelgaard M, Sinha P, Sternad D. Developmental change in predictive motor abilities. iScience 2023; 26:106038. [PMID: 36824276 PMCID: PMC9941204 DOI: 10.1016/j.isci.2023.106038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 12/14/2022] [Accepted: 01/17/2023] [Indexed: 01/26/2023] Open
Abstract
Prediction is critical for successful interactions with a dynamic environment. To test the development of predictive processes over the life span, we designed a suite of interceptive tasks implemented as interactive video games. Four tasks involving interactions with a flying ball with titrated challenge quantified spatiotemporal aspects of prediction. For comparison, reaction time was assessed in a matching task. The experiments were conducted in a museum, where over 400 visitors across all ages participated, and in a laboratory with a focused age group. Results consistently showed that predictive ability improved with age to reach adult level by age 12. In contrast, reaction time continued to decrease into late adolescence. Inter-task correlations revealed that the tasks tested different aspects of predictive processes. This developmental progression complements recent findings on cerebellar and cortical maturation. Additionally, these results can serve as normative data to study predictive processes in individuals with neurodevelopmental conditions.
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Affiliation(s)
- Se-Woong Park
- Department of Kinesiology, University of Texas at San Antonio, San Antonio, TX 78249, USA
- Department of Biology, Northeastern University, Boston, MA 02115, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Annie Cardinaux
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Dena Crozier
- Department of Biology, Northeastern University, Boston, MA 02115, USA
- Department of Physics, Northeastern University, Boston, MA 02115, USA
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Marta Russo
- Department of Neurology, Tor Vergata Polyclinc, Rome, Italy
- Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Margaret Kjelgaard
- Department of Communication Sciences and Disorders, Bridgewater State University, Bridgewater, MA 02325, USA
| | - Pawan Sinha
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Dagmar Sternad
- Department of Biology, Northeastern University, Boston, MA 02115, USA
- Department of Physics, Northeastern University, Boston, MA 02115, USA
- Department of Electrical & Computer Engineering, Northeastern University, Boston, MA 02115, USA
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31
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Hamdule S, Kölbel M, Stotesbury H, Murdoch R, Clayden JD, Sahota S, Hood AM, Clark CA, Kirkham FJ. Effects of regional brain volumes on cognition in sickle cell anemia: A developmental perspective. Front Neurol 2023; 14:1101223. [PMID: 36860579 PMCID: PMC9968851 DOI: 10.3389/fneur.2023.1101223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/18/2023] [Indexed: 02/15/2023] Open
Abstract
Background and objectives Cognitive difficulties in people with sickle cell anemia (SCA) are related to lower processing speed index (PSI) and working memory index (WMI). However, risk factors are poorly understood so preventative strategies have not been explored. Brain volumes, specifically white matter volumes (WMV) which increases through early adulthood, have been associated with better cognition in healthy typically developing individuals. In patients with SCA, the reduced WMV and total subcortical volumes noted could explain cognitive deficits. We therefore examined developmental trajectories for regional brain volumes and cognitive endpoints in patients with SCA. Methods Data from two cohorts, the Sleep and Asthma Cohort and Prevention of Morbidity in SCA, were available. MRI data included T1-weighted axial images, pre-processed before regional volumes were extracted using Free-surfer. PSI and WMI from the Weschler scales of intelligence were used to test neurocognitive performance. Hemoglobin, oxygen saturation, hydroxyurea treatment and socioeconomic status from education deciles were available. Results One hundred and twenty nine patients (66 male) and 50 controls (21 male) aged 8-64 years were included. Brain volumes did not significantly differ between patients and controls. Compared with controls, PSI and WMI were significantly lower in patients with SCA, predicted by increasing age and male sex, with lower hemoglobin in the model for PSI but no effect of hydroxyurea treatment. In male patients with SCA only, WMV, age and socioeconomic status predicted PSI, while total subcortical volumes predicted WMI. Age positively and significantly predicted WMV in the whole group (patients + controls). There was a trend for age to negatively predict PSI in the whole group. For total subcortical volume and WMI, age predicted decrease only in the patient group. Developmental trajectory analysis revealed that PSI only was significantly delayed in patients at 8 years of age; the rate of development for the cognitive and brain volume data did not differ significantly from controls. Discussion Increasing age and male sex negatively impact cognition in SCA, with processing speed, also predicted by hemoglobin, delayed by mid childhood. Associations with brain volumes were seen in males with SCA. Brain endpoints, calibrated against large control datasets, should be considered for randomized treatment trials.
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Affiliation(s)
- Shifa Hamdule
- Developmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Melanie Kölbel
- Developmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom,Sleep Education and Research Laboratory, UCL Institute of Education, London, United Kingdom
| | - Hanne Stotesbury
- Developmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Russell Murdoch
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Jonathan D. Clayden
- Developmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Sati Sahota
- Developmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Anna Marie Hood
- Developmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom,Division of Psychology and Mental Health, Manchester Centre for Health Psychology, University of Manchester, Manchester, United Kingdom
| | - Christopher A. Clark
- Developmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Fenella Jane Kirkham
- Developmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom,Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom,*Correspondence: Fenella Jane Kirkham ✉
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Associations between cortical thickness and anxious/depressive symptoms differ by the quality of early care. Dev Psychopathol 2023; 35:73-84. [PMID: 35045914 PMCID: PMC9023591 DOI: 10.1017/s0954579421000845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
A variety of childhood experiences can lead to anxious/depressed (A/D) symptoms. The aim of the present study was to explore the brain morphological (cortical thickness and surface area) correlates of A/D symptoms and the extent to which these phenotypes vary depending on the quality of the parenting context in which children develop. Structural magnetic resonance imaging (MRI) scans were acquired on 45 children with Child Protective Services (CPS) involvement due to risk of not receiving adequate care (high-risk group) and 25 children without CPS involvement (low-risk group) (rangeage = 8.08-12.14; Mage = 10.05) to assess cortical thickness (CT) and cortical surface area (SA). A/D symptoms were measured using the Child Behavioral Checklist. The association between A/D symptoms and CT, but not SA, differed by risk status such that high-risk children showed decreasing CT as A/D scores increased, whereas low-risk children showed increasing CT as A/D scores increased. This interaction was specific to CT in prefrontal, frontal, temporal, and parietal cortical regions. The groups had marginally different A/D scores, in the direction of higher risk being associated with lower A/D scores. Results suggest that CT correlates of A/D symptoms are differentially shaped by the quality of early caregiving experiences and should be distinguished between high- and low-risk children.
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Mayer AR, Meier TB, Dodd AB, Stephenson DD, Robertson-Benta CR, Ling JM, Pabbathi Reddy S, Zotev V, Vakamudi K, Campbell RA, Sapien RE, Erhardt EB, Phillips JP, Vakhtin AA. Prospective Study of Gray Matter Atrophy Following Pediatric Mild Traumatic Brain Injury. Neurology 2023; 100:e516-e527. [PMID: 36522161 PMCID: PMC9931084 DOI: 10.1212/wnl.0000000000201470] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 09/09/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The clinical and physiologic time course for recovery following pediatric mild traumatic brain injury (pmTBI) remains actively debated. The primary objective of the current study was to prospectively examine structural brain changes (cortical thickness and subcortical volumes) and age-at-injury effects. A priori study hypotheses predicted reduced cortical thickness and hippocampal volumes up to 4 months postinjury, which would be inversely associated with age at injury. METHODS Prospective cohort study design with consecutive recruitment. Study inclusion adapted from American Congress of Rehabilitation Medicine (upper threshold) and Zurich Concussion in Sport Group (minimal threshold) and diagnosed by Emergency Department and Urgent Care clinicians. Major neurologic, psychiatric, or developmental disorders were exclusionary. Clinical (Common Data Element) and structural (3 T MRI) evaluations within 11 days (subacute visit [SA]) and at 4 months (early chronic visit [EC]) postinjury. Age- and sex-matched healthy controls (HC) to control for repeat testing/neurodevelopment. Clinical outcomes based on self-report and cognitive testing. Structural images quantified with FreeSurfer (version 7.1.1). RESULTS A total of 208 patients with pmTBI (age = 14.4 ± 2.9; 40.4% female) and 176 HC (age = 14.2 ± 2.9; 42.0% female) were included in the final analyses (>80% retention). Reduced cortical thickness (right rostral middle frontal gyrus; d = -0.49) and hippocampal volumes (d = -0.24) observed for pmTBI, but not associated with age at injury. Hippocampal volume recovery was mediated by loss of consciousness/posttraumatic amnesia. Significantly greater postconcussive symptoms and cognitive deficits were observed at SA and EC visits, but were not associated with the structural abnormalities. Structural abnormalities slightly improved balanced classification accuracy above and beyond clinical gold standards (∆+3.9%), with a greater increase in specificity (∆+7.5%) relative to sensitivity (∆+0.3%). DISCUSSION Current findings indicate that structural brain abnormalities may persist up to 4 months post-pmTBI and are partially mediated by initial markers of injury severity. These results contribute to a growing body of evidence suggesting prolonged physiologic recovery post-pmTBI. In contrast, there was no evidence for age-at-injury effects or physiologic correlates of persistent symptoms in our sample.
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Affiliation(s)
- Andrew R Mayer
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque.
| | - Timothy B Meier
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Andrew B Dodd
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - David D Stephenson
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Cidney R Robertson-Benta
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Josef M Ling
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Sharvani Pabbathi Reddy
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Vadim Zotev
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Kishore Vakamudi
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Richard A Campbell
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Robert E Sapien
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Erik B Erhardt
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - John P Phillips
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Andrei A Vakhtin
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
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Cheng W, Sun Z, Cai K, Wu J, Dong X, Liu Z, Shi Y, Yang S, Zhang W, Chen A. Relationship between Overweight/Obesity and Social Communication in Autism Spectrum Disorder Children: Mediating Effect of Gray Matter Volume. Brain Sci 2023; 13:brainsci13020180. [PMID: 36831723 PMCID: PMC9954689 DOI: 10.3390/brainsci13020180] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/10/2023] [Accepted: 01/17/2023] [Indexed: 01/24/2023] Open
Abstract
With advances in medical diagnostic technology, the healthy development of children with autism spectrum disorder (ASD) is receiving more and more attention. In this article, the mediating effect of brain gray matter volume (GMV) between overweight/obesity and social communication (SC) was investigated through the analysis of the relationship between overweight/obesity and SC in autism spectrum disorder children. In total, 101 children with ASD aged 3-12 years were recruited from three special educational centers (Yangzhou, China). Overweight/obesity in children with ASD was indicated by their body mass index (BMI); the Social Responsiveness Scale, Second Edition (SRS-2) was used to assess their social interaction ability, and structural Magnetic Resonance Imaging (sMRI) was used to measure GMV. A mediation model was constructed using the Process plug-in to analyze the mediating effect of GMV between overweight/obesity and SC in children with ASD. The results revealed that: overweight/obesity positively correlated with SRS-2 total points (p = 0.01); gray matter volume in the left dorsolateral superior frontal gyrus (Frontal_Sup_L GMV) negatively correlated with SRS-2 total points (p = 0.001); and overweight/obesity negatively correlated with Frontal_Sup_L GMV (p = 0.001). The Frontal_Sup_L GMV played a partial mediating role in the relationship between overweight/obesity and SC, accounting for 36.6% of total effect values. These findings indicate the significant positive correlation between overweight/obesity and SC; GMV in the left dorsolateral superior frontal gyrus plays a mediating role in the relationship between overweight/obesity and SC. The study may provide new evidence toward comprehensively revealing the overweight/obesity and SC relationship.
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Affiliation(s)
- Wei Cheng
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Zhiyuan Sun
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Kelong Cai
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Jingjing Wu
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Xiaoxiao Dong
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Zhimei Liu
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Yifan Shi
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Sixin Yang
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Weike Zhang
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Aiguo Chen
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
- Correspondence: ; Tel.: +86-139-5272-5968
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Chen AM, Gerhalter T, Dehkharghani S, Peralta R, Gajdošík M, Gajdošík M, Tordjman M, Zabludovsky J, Sheriff S, Ahn S, Babb JS, Bushnik T, Zarate A, Silver JM, Im BS, Wall SP, Madelin G, Kirov II. Replicability of proton MR spectroscopic imaging findings in mild traumatic brain injury: Implications for clinical applications. Neuroimage Clin 2023; 37:103325. [PMID: 36724732 PMCID: PMC9898311 DOI: 10.1016/j.nicl.2023.103325] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/06/2022] [Accepted: 01/16/2023] [Indexed: 01/20/2023]
Abstract
PURPOSE Proton magnetic resonance spectroscopy (1H MRS) offers biomarkers of metabolic damage after mild traumatic brain injury (mTBI), but a lack of replicability studies hampers clinical translation. In a conceptual replication study design, the results reported in four previous publications were used as the hypotheses (H1-H7), specifically: abnormalities in patients are diffuse (H1), confined to white matter (WM) (H2), comprise low N-acetyl-aspartate (NAA) levels and normal choline (Cho), creatine (Cr) and myo-inositol (mI) (H3), and correlate with clinical outcome (H4); additionally, a lack of findings in regional subcortical WM (H5) and deep gray matter (GM) structures (H6), except for higher mI in patients' putamen (H7). METHODS 26 mTBI patients (20 female, age 36.5 ± 12.5 [mean ± standard deviation] years), within two months from injury and 21 age-, sex-, and education-matched healthy controls were scanned at 3 Tesla with 3D echo-planar spectroscopic imaging. To test H1-H3, global analysis using linear regression was used to obtain metabolite levels of GM and WM in each brain lobe. For H4, patients were stratified into non-recovered and recovered subgroups using the Glasgow Outcome Scale Extended. To test H5-H7, regional analysis using spectral averaging estimated metabolite levels in four GM and six WM structures segmented from T1-weighted MRI. The Mann-Whitney U test and weighted least squares analysis of covariance were used to examine mean group differences in metabolite levels between all patients and all controls (H1-H3, H5-H7), and between recovered and non-recovered patients and their respectively matched controls (H4). Replicability was defined as the support or failure to support the null hypotheses in accordance with the content of H1-H7, and was further evaluated using percent differences, coefficients of variation, and effect size (Cohen's d). RESULTS Patients' occipital lobe WM Cho and Cr levels were 6.0% and 4.6% higher than controls', respectively (Cho, d = 0.37, p = 0.04; Cr, d = 0.63, p = 0.03). The same findings, i.e., higher patients' occipital lobe WM Cho and Cr (both p = 0.01), but with larger percent differences (Cho, 8.6%; Cr, 6.3%) and effect sizes (Cho, d = 0.52; Cr, d = 0.88) were found in the comparison of non-recovered patients to their matched controls. For the lobar WM Cho and Cr comparisons without statistical significance (frontal, parietal, temporal), unidirectional effect sizes were observed (Cho, d = 0.07 - 0.37; Cr, d = 0.27 - 0.63). No differences were found in any metabolite in any lobe in the comparison between recovered patients and their matched controls. In the regional analyses, no differences in metabolite levels were found in any GM or WM region, but all WM regions (posterior, frontal, corona radiata, and the genu, body, and splenium of the corpus callosum) exhibited unidirectional effect sizes for Cho and Cr (Cho, d = 0.03 - 0.34; Cr, d = 0.16 - 0.51). CONCLUSIONS We replicated findings of diffuse WM injury, which correlated with clinical outcome (supporting H1-H2, H4). These findings, however, were among the glial markers Cho and Cr, not the neuronal marker NAA (not supporting H3). No differences were found in regional GM and WM metabolite levels (supporting H5-H6), nor in putaminal mI (not supporting H7). Unidirectional effect sizes of higher patients' Cho and Cr within all WM analyses suggest widespread injury, and are in line with the conclusion from the previous publications, i.e., that detection of WM injury may be more dependent upon sensitivity of the 1H MRS technique than on the selection of specific regions. The findings lend further support to the corollary that clinic-ready 1H MRS biomarkers for mTBI may best be achieved by using high signal-to-noise-ratio single-voxels placed anywhere within WM. The biochemical signature of the injury, however, may differ and therefore absolute levels, rather than ratios may be preferred. Future replication efforts should further test the generalizability of these findings.
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Affiliation(s)
- Anna M Chen
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Teresa Gerhalter
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Seena Dehkharghani
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA; Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Rosemary Peralta
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Mia Gajdošík
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Martin Gajdošík
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Mickael Tordjman
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA; Department of Radiology, Hôpital Cochin, Paris, France
| | - Julia Zabludovsky
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Sulaiman Sheriff
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sinyeob Ahn
- Siemens Medical Solutions USA Inc., Malvern, PA, USA
| | - James S Babb
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Tamara Bushnik
- Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Alejandro Zarate
- Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Jonathan M Silver
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Brian S Im
- Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Stephen P Wall
- Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Guillaume Madelin
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Ivan I Kirov
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA; Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
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Berbegal M, Tomé M, Sánchez-SanSegundo M, Zaragoza-Martí A, Hurtado-Sánchez JA. Memory function performance in individuals classified as overweight, obese, and normal weight. Front Nutr 2022; 9:932323. [PMID: 36479300 PMCID: PMC9719908 DOI: 10.3389/fnut.2022.932323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 10/31/2022] [Indexed: 09/06/2023] Open
Abstract
Evidence accumulated to date about the relationship between cognitive impairments and adults who are overweight and obese suggests that excess weight has a great impact on memory function. Nevertheless, most of the literature has focused only on studying the influences on working memory and episodic memory. This study aimed to examine the potential associations of clinical and anthropometric measures [body mass index (BMI), WHR, body fat, visceral fat, muscle mass, and hypertension] with six memory domains, including contextual memory, short-term visual memory, short-term memory, non-verbal memory, short-term phonological memory, and working memory, in a sample of 124 individuals classified as overweight (n = 33), obese (n = 53), and normal weight (n = 38). The results obtained showed that, after controlling for employment situations, people classified as obese had poorer short-term phonological memory and working memory than those with normal weights. Bivariate correlations showed that measures of weight, BMI, waist-hip ratio index, body fat, and visceral fat were inversely associated with memory function. However, muscle mass was not a significant predictor of memory function. Higher systolic blood pressure was also associated with worse memory function. The study provides evidence of the importance of adiposity in health and memory function.
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Affiliation(s)
- Marina Berbegal
- Department of Health Psychology, Faculty of Health Science, University of Alicante, Alicante, Spain
| | - Mario Tomé
- Department of Health Psychology, Faculty of Health Science, University of Alicante, Alicante, Spain
| | | | - Ana Zaragoza-Martí
- Department of Nursing, Faculty of Health Science University of Alicante, Alicante, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL-FISABIO Foundation), Alicante, Spain
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McIlvain G, Schneider JM, Matyi MA, McGarry MD, Qi Z, Spielberg JM, Johnson CL. Mapping brain mechanical property maturation from childhood to adulthood. Neuroimage 2022; 263:119590. [PMID: 36030061 PMCID: PMC9950297 DOI: 10.1016/j.neuroimage.2022.119590] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/10/2022] [Accepted: 08/23/2022] [Indexed: 02/07/2023] Open
Abstract
Magnetic resonance elastography (MRE) is a phase contrast MRI technique which uses external palpation to create maps of brain mechanical properties noninvasively and in vivo. These mechanical properties are sensitive to tissue microstructure and reflect tissue integrity. MRE has been used extensively to study aging and neurodegeneration, and to assess individual cognitive differences in adults, but little is known about mechanical properties of the pediatric brain. Here we use high-resolution MRE imaging in participants of ages ranging from childhood to adulthood to understand brain mechanical properties across brain maturation. We find that brain mechanical properties differ considerably between childhood and adulthood, and that neuroanatomical subregions have differing maturational trajectories. Overall, we observe lower brain stiffness and greater brain damping ratio with increasing age from 5 to 35 years. Gray and white matter change differently during maturation, with larger changes occurring in gray matter for both stiffness and damping ratio. We also found that subregions of cortical and subcortical gray matter change differently, with the caudate and thalamus changing the most with age in both stiffness and damping ratio, while cortical subregions have different relationships with age, even between neighboring regions. Understanding how brain mechanical properties mature using high-resolution MRE will allow for a deeper understanding of the neural substrates supporting brain function at this age and can inform future studies of atypical maturation.
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Affiliation(s)
- Grace McIlvain
- Department of Biomedical Engineering, University of Delaware, Newark, DE, United States
| | - Julie M Schneider
- Department of Communication Sciences and Disorders, Louisiana State University, Baton Rouge, LA, United States
| | - Melanie A Matyi
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, United States
| | - Matthew Dj McGarry
- Thayer School of Engineering, Dartmouth College, Hanover, NH, United States
| | - Zhenghan Qi
- Department of Communication Sciences and Disorders, Northeastern University, Boston, MA, United States
| | - Jeffrey M Spielberg
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, United States
| | - Curtis L Johnson
- Department of Biomedical Engineering, University of Delaware, Newark, DE, United States; Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, United States.
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Silver E, Pulli EP, Kataja EL, Kumpulainen V, Copeland A, Saukko E, Saunavaara J, Merisaari H, Lähdesmäki T, Parkkola R, Karlsson L, Karlsson H, Tuulari JJ. Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort. Brain Imaging Behav 2022; 16:2097-2109. [PMID: 35869382 PMCID: PMC9581828 DOI: 10.1007/s11682-022-00679-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2022] [Indexed: 11/02/2022]
Abstract
AbstractThe human brain develops dynamically during early childhood, when the child is sensitive to both genetic programming and extrinsic exposures. Recent studies have found links between prenatal and early life environmental factors, family demographics and the cortical brain morphology in newborns measured by surface area, volume and thickness. Here in this magnetic resonance imaging study, we evaluated whether a similar set of variables associates with cortical surface area and volumes measured in a sample of 170 healthy 5-year-olds from the FinnBrain Birth Cohort Study. We found that child sex, maternal pre-pregnancy body mass index, 5 min Apgar score, neonatal intensive care unit admission and maternal smoking during pregnancy associated with surface areas. Furthermore, child sex, maternal age and maternal level of education associated with brain volumes. Expectedly, many variables deemed important for neonatal brain anatomy (such as birth weight and gestational age at birth) in earlier studies did not associate with brain metrics in our study group of 5-year-olds, which implies that their effects on brain anatomy are age-specific. Future research may benefit from including pre- and perinatal covariates in the analyses when such data are available. Finally, we provide evidence for right lateralization for surface area and volumes, except for the temporal lobes which were left lateralized. These subtle differences between hemispheres are variable across individuals and may be interesting brain metrics in future studies.
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Maternal psychological distress during the COVID-19 pandemic and structural changes of the human fetal brain. COMMUNICATIONS MEDICINE 2022; 2:47. [PMID: 35647608 PMCID: PMC9135751 DOI: 10.1038/s43856-022-00111-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 04/11/2022] [Indexed: 12/12/2022] Open
Abstract
Abstract
Background
Elevated maternal psychological distress during pregnancy is linked to adverse outcomes in offspring. The potential effects of intensified levels of maternal distress during the COVID-19 pandemic on the developing fetal brain are currently unknown.
Methods
We prospectively enrolled 202 pregnant women: 65 without known COVID-19 exposures during the pandemic who underwent 92 fetal MRI scans, and 137 pre-pandemic controls who had 182 MRI scans. Multi-plane, multi-phase single shot fast spin echo T2-weighted images were acquired on a GE 1.5 T MRI Scanner. Volumes of six brain tissue types were calculated. Cortical folding measures, including brain surface area, local gyrification index, and sulcal depth were determined. At each MRI scan, maternal distress was assessed using validated stress, anxiety, and depression scales. Generalized estimating equations were utilized to compare maternal distress measures, brain volume and cortical folding differences between pandemic and pre-pandemic cohorts.
Results
Stress and depression scores are significantly higher in the pandemic cohort, compared to the pre-pandemic cohort. Fetal white matter, hippocampal, and cerebellar volumes are decreased in the pandemic cohort. Cortical surface area and local gyrification index are also decreased in all four lobes, while sulcal depth is lower in the frontal, parietal, and occipital lobes in the pandemic cohort, indicating delayed brain gyrification.
Conclusions
We report impaired fetal brain growth and delayed cerebral cortical gyrification in COVID-19 pandemic era pregnancies, in the setting of heightened maternal psychological distress. The potential long-term neurodevelopmental consequences of altered fetal brain development in COVID-era pregnancies merit further study.
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Treit S, Stolz E, Rickard JN, McCreary CR, Bagshawe M, Frayne R, Lebel C, Emery D, Beaulieu C. Lifespan Volume Trajectories From Non–harmonized T1–Weighted MRI Do Not Differ After Site Correction Based on Traveling Human Phantoms. Front Neurol 2022; 13:826564. [PMID: 35614930 PMCID: PMC9124864 DOI: 10.3389/fneur.2022.826564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 03/31/2022] [Indexed: 11/18/2022] Open
Abstract
Multi–site imaging consortiums strive to increase participant numbers by pooling data across sites, but scanner related differences can bias results. This study combines data from three research MRI centers, including three different scanner models from two vendors, to examine non–harmonized T1–weighted brain imaging protocols in two cohorts. First, 23 human traveling phantoms were scanned twice each at all three sites (six scans per person; 138 scans total) to quantify within–participant variability of brain volumes (total brain, white matter, gray matter, lateral ventricles, thalamus, caudate, putamen and globus pallidus), and to calculate site–specific correction factors for each structure. Sample size calculations were used to determine the number of traveling phantoms needed to achieve effect sizes for observed differences to help guide future studies. Next, cross–sectional lifespan volume trajectories were examined in 856 healthy participants (5—91 years of age) scanned at these sites. Cross–sectional trajectories of volume versus age for each structure were then compared before and after application of traveling phantom based site–specific correction factors, as well as correction using the open–source method ComBat. Although small systematic differences between sites were observed in the traveling phantom analysis, correction for site using either method had little impact on the lifespan trajectories. Only white matter had small but significant differences in the intercept parameter after ComBat correction (but not traveling phantom based correction), while no other fits differed. This suggests that age–related changes over the lifespan outweigh systematic differences between scanners for volumetric analysis. This work will help guide pooling of multisite datasets as well as meta–analyses of data from non–harmonized protocols.
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Affiliation(s)
- Sarah Treit
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
- *Correspondence: Sarah Treit
| | - Emily Stolz
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Julia N. Rickard
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Cheryl R. McCreary
- Departments of Radiology and Clinical Neurosciences, Foothills Medical Centre, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Mercedes Bagshawe
- Department of Radiology, Alberta Children's Hospital, University of Calgary, Calgary, AB, Canada
| | - Richard Frayne
- Departments of Radiology and Clinical Neurosciences, Foothills Medical Centre, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Catherine Lebel
- Department of Radiology, Alberta Children's Hospital, University of Calgary, Calgary, AB, Canada
| | - Derek Emery
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
- Christian Beaulieu
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Xu J, Zhang J, Li J, Wang H, Chen J, Lyu H, Hu Q. Structural and Functional Trajectories of Middle Temporal Gyrus Sub-Regions During Life Span: A Potential Biomarker of Brain Development and Aging. Front Aging Neurosci 2022; 14:799260. [PMID: 35572140 PMCID: PMC9094684 DOI: 10.3389/fnagi.2022.799260] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 02/15/2022] [Indexed: 11/13/2022] Open
Abstract
Although previous studies identified a similar topography pattern of structural and functional delineations in human middle temporal gyrus (MTG) using healthy adults, trajectories of MTG sub-regions across lifespan remain largely unknown. Herein, we examined gray matter volume (GMV) and resting-state functional connectivity (RSFC) using datasets from the Nathan Kline Institute (NKI), and aimed to (1) investigate structural and functional trajectories of MTG sub-regions across the lifespan; and (2) assess whether these features can be used as biomarkers to predict individual’s chronological age. As a result, GMV of all MTG sub-regions followed U-shaped trajectories with extreme age around the sixth decade. The RSFC between MTG sub-regions and many cortical brain regions showed inversed U-shaped trajectories, whereas RSFC between MTG sub-regions and sub-cortical regions/cerebellum showed U-shaped way, with extreme age about 20 years earlier than those of GMV. Moreover, GMV and RSFC of MTG sub-regions could be served as useful features to predict individual age with high estimation accuracy. Together, these results not only provided novel insights into the dynamic process of structural and functional roles of MTG sub-regions across the lifespan, but also served as useful biomarkers to age prediction.
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Affiliation(s)
- Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jinhuan Zhang
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jiaying Li
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Haoyu Wang
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jianxiang Chen
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Hanqing Lyu
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
- *Correspondence: Hanqing Lyu,
| | - Qingmao Hu
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Qingmao Hu,
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42
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Current and Potential Cognitive Development in Healthy Children: A New Approach to Raven Coloured Progressive Matrices. CHILDREN 2022; 9:children9040446. [PMID: 35455490 PMCID: PMC9030293 DOI: 10.3390/children9040446] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/17/2022] [Accepted: 03/18/2022] [Indexed: 11/25/2022]
Abstract
In clinical practice and research, Raven’s Coloured Progressive Matrices (RCPMs) continue to be used according to a single procedure that aims to evaluate a single overall score of the current general intelligence level. This study aimed to examine potential cognitive development in a sample of 450 typically developing children, aged from 6 to 10 years, by administering RCPMs according to the standard procedure followed immediately by a standardized interview on incorrect items. In addition, the study aimed to analyze how performance differed across age groups. The results analysis was examined on the basis of three different factors in which the items were grouped in previous factorial studies. The results found that performance improved markedly and significantly after the interview; however, the improvement was not homogeneous in the three factors across age groups or within each age group. The age groups showed a different development potential in relation to the nature of the task: the younger ones showed a greater increase on items requiring figure completion, and the older ones showed a greater increase on analogical reasoning items. Finally, the children who showed the greatest improvement were those with the best performance in standard RCPM administration. The procedure described in the present research could represent a useful tool in clinical practice and in the research for a broader cognitive assessment focused on potential cognitive development, as well as on real cognitive development, and to favor the planning of more adequate rehabilitation and educational treatments.
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43
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Wang M, Feng T, Jiang H, Zhu J, Feng W, Chhatbar PY, Zhang J, Zhang S. In vivo Measurements of Electric Fields During Cranial Electrical Stimulation in the Human Brain. Front Hum Neurosci 2022; 16:829745. [PMID: 35250520 PMCID: PMC8895368 DOI: 10.3389/fnhum.2022.829745] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 01/18/2022] [Indexed: 12/14/2022] Open
Abstract
Cranial electrical stimulation (CES) has been applied at various current levels in both adults and children with neurological conditions with seemingly promising but somewhat inconsistent results. Stimulation-induced spatial electric fields (EFs) within a specific brain region are likely a significant contributing factor for the biological effects. Although several simulation models have been used to predict EF distributions in the brain, these models actually have not been validated by in vivo CES-induced EF measurements in the live human brain. This study directly measured the CES-induced voltage changes with implanted stereotactic-electroencephalographic (sEEG) electrodes in twenty-one epilepsy participants (16 adults and 5 children) and then compared these measured values with the simulated ones obtained from the personalized models. In addition, we further investigated the influence of stimulation frequency, intensity, electrode montage and age on EFs in parts of participants. We found both measured voltages and EFs obtained in vivo are highly correlated with the predicted ones in our cohort (Voltages: r = 0.93, p < 0.001; EFs: r = 0.73, p < 0.001). In white matter and gray matter, the measured voltages linearly increased when the stimulation intensity increased from 5 to 500 μA but showed no significant changes (averaged coefficient of variation <4.10%) with changing stimulation frequency from 0.5 to 200 Hz. Electrode montage, but not age, significantly affects the distribution of the EFs (n = 5, p < 0.01). Our in vivo measurements demonstrate that the individualized simulation model can reliably predict the CES-induced EFs in both adults and children. It also confirms that the CES-induced EFs highly depend on the electrode montages and individual anatomical features.
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Affiliation(s)
- Minmin Wang
- Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Department of Biomedical Engineering, School of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Tao Feng
- Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Department of Biomedical Engineering, School of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Hongjie Jiang
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Junming Zhu
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wuwei Feng
- Department of Neurology, Duke University School of Medicine, Durham, NC, United States
| | - Pratik Y. Chhatbar
- Department of Neurology, Duke University School of Medicine, Durham, NC, United States
| | - Jianmin Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Jianmin Zhang,
| | - Shaomin Zhang
- Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Department of Biomedical Engineering, School of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
- Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China
- Shaomin Zhang,
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44
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Statsenko Y, Habuza T, Smetanina D, Simiyu GL, Uzianbaeva L, Neidl-Van Gorkom K, Zaki N, Charykova I, Al Koteesh J, Almansoori TM, Belghali M, Ljubisavljevic M. Brain Morphometry and Cognitive Performance in Normal Brain Aging: Age- and Sex-Related Structural and Functional Changes. Front Aging Neurosci 2022; 13:713680. [PMID: 35153713 PMCID: PMC8826453 DOI: 10.3389/fnagi.2021.713680] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 09/27/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The human brain structure undergoes considerable changes throughout life. Cognitive function can be affected either negatively or positively. It is challenging to segregate normal brain aging from the accelerated one. OBJECTIVE To work out a descriptive model of brain structural and functional changes in normal aging. MATERIALS AND METHODS By using voxel-based morphometry and lesion segmentation along with linear statistics and machine learning (ML), we analyzed the structural changes in the major brain compartments and modeled the dynamics of neurofunctional performance throughout life. We studied sex differences in lifelong dynamics of brain volumetric data with Mann-Whitney U-test. We tested the hypothesis that performance in some cognitive domains might decline as a linear function of age while other domains might have a non-linear dependence on it. We compared the volumetric changes in the major brain compartments with the dynamics of psychophysiological performance in 4 age groups. Then, we tested linear models of structural and functional decline for significant differences between the slopes in age groups with the T-test. RESULTS White matter hyperintensities (WMH) are not the major structural determinant of the brain normal aging. They should be viewed as signs of a disease. There is a sex difference in the speed and/or in the onset of the gray matter atrophy. It either starts earlier or goes faster in males. Marked sex difference in the proportion of total cerebrospinal fluid (CSF) and intraventricular CSF (iCSF) justifies that elderly men are more prone to age-related brain atrophy than women of the same age. CONCLUSION The article gives an overview and description of the conceptual structural changes in the brain compartments. The obtained data justify distinct patterns of age-related changes in the cognitive functions. Cross-life slowing of decision-making may follow the linear tendency of enlargement of the interhemispheric fissure because the center of task switching and inhibitory control is allocated within the medial wall of the frontal cortex, and its atrophy accounts for the expansion of the fissure. Free online tool at https://med-predict.com illustrates the tests and study results.
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Affiliation(s)
- Yauhen Statsenko
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
- Big Data Analytics Center, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Tetiana Habuza
- Big Data Analytics Center, United Arab Emirates University, Al Ain, United Arab Emirates
- College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Darya Smetanina
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Gillian Lylian Simiyu
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Liaisan Uzianbaeva
- Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States
- Department of Obstetrics and Gynecology, Bronxcare Hospital System, Bronx, NY, United States
| | - Klaus Neidl-Van Gorkom
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Nazar Zaki
- Big Data Analytics Center, United Arab Emirates University, Al Ain, United Arab Emirates
- College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Inna Charykova
- Laboratory of Psychology, Republican Scientific-Practical Center of Sports, Minsk, Belarus
| | - Jamal Al Koteesh
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Radiology, Tawam Hospital, Al Ain, United Arab Emirates
| | - Taleb M. Almansoori
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Maroua Belghali
- Department of Health and Physical Education, College of Education, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Milos Ljubisavljevic
- Department of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
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45
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Dima D, Modabbernia A, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes‐Eizagirre A, Alnæs D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur‐Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales‐Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim‐Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo‐Facorro B, Crivello F, Crone EA, Dannlowski U, Dale AM, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros‐Bergman H, Fisher SE, Fouche J, Franke B, Frodl T, Fuentes‐Claramonte P, Glahn DC, Gotlib IH, Grabe H, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho B, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch K, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez‐Zalacaín I, Mataix‐Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer‐Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol‐Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez‐Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano‐Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas‐Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Williams SCR, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Frangou S. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years. Hum Brain Mapp 2022; 43:452-469. [PMID: 33570244 PMCID: PMC8675429 DOI: 10.1002/hbm.25320] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 11/27/2020] [Accepted: 12/06/2020] [Indexed: 12/25/2022] Open
Abstract
Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related trajectories inferred from cross-sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3-90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter-individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age-related morphometric patterns.
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Affiliation(s)
- Danai Dima
- Department of Psychology, School of Arts and Social SciencesCity University of LondonLondonUK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | | | | | | | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam University Medical CentreLocation VUmcAmsterdamNetherlands
- Institute of Education & Child StudiesSection Forensic Family & Youth Care, Leiden UniversityNetherlands
| | - Theophilus N. Akudjedu
- Institute of Medical Imaging and Visualisation, Department of Medical Science and Public Health, Faculty of Health and Social SciencesBournemouth UniversityPooleUK
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandDublinIreland
| | - Anton Albajes‐Eizagirre
- FIDMAG Germanes HospitalàriesMadridSpain
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
| | | | - Micael Andersson
- Department of Integrative Medical BiologyUmeå UniversityUmeåSweden
| | - Nancy C. Andreasen
- Department of Psychiatry, Carver College of MedicineThe University of IowaIowa CityIowaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityMannheimGermany
| | - Nuria Bargallo
- Imaging Diagnostic Centre, Hospital ClinicBarcelona University ClinicBarcelonaSpain
- August Pi i Sunyer Biomedical Research Institut (IDIBAPS)BarcelonaSpain
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityMannheimGermany
| | - Ramona Baur‐Streubel
- Department of Psychology, Biological Psychology, Clinical Psychology and PsychotherapyUniversity of WürzburgWurzburgGermany
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense OrgansUniversity of Bari Aldo MoroBariItaly
| | - Aurora Bonvino
- Department of Basic Medical Science, Neuroscience and Sense OrgansUniversity of Bari Aldo MoroBariItaly
| | - Dorret I. Boomsma
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Stefan Borgwardt
- Department of Psychiatry & PsychotherapyUniversity of LübeckLubeckGermany
| | - Josiane Bourque
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityMannheimGermany
| | - Alan Breier
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyAustralia
| | - Rachel M. Brouwer
- Rudolf Magnus Institute of NeuroscienceUniversity Medical Center UtrechtUtrechtNetherlands
| | - Jan K. Buitelaar
- Donders Center of Medical NeurosciencesRadboud UniversityNijmegenNetherlands
- Donders Centre for Cognitive NeuroimagingRadboud UniversityNijmegenNetherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
| | - Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Randy L. Buckner
- Department of Psychology, Center for Brain ScienceHarvard UniversityCambridgeMassachusettsUSA
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA
| | - Vincent Calhoun
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, USA Neurology, Radiology, Psychiatry and Biomedical EngineeringEmory UniversityAtlantaGeorgiaUSA
| | | | - Dara M. Cannon
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandDublinIreland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | | | - Simon Cervenka
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
- Stockholm Health Care ServicesStockholm RegionStockholmSweden
| | - Tiffany M. Chaim‐Avancini
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Victoria Chubar
- Department of NeuroscienceKU Leuven, Mind‐Body Research GroupLeuvenBelgium
| | - Vincent P. Clark
- Department of PsychologyUniversity of New MexicoAlbuquerqueNew MexicoUSA
- Mind Research NetworkAlbuquerqueNew MexicoUSA
| | - Patricia Conrod
- Department of PsychiatryUniversité de MontréalMontrealCanada
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyUniversity of TübingenTubingenGermany
| | - Benedicto Crespo‐Facorro
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- HU Virgen del Rocio, IBiS, University of SevillaSevillaSpain
| | - Fabrice Crivello
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293Université de BordeauxTalenceFrance
| | - Eveline A. Crone
- Erasmus School of Social and Behavioural SciencesErasmus University RotterdamRotterdamNetherlands
- Faculteit der Sociale Wetenschappen, Instituut PsychologieUniversiteit LeidenLeidenNetherlands
| | - Udo Dannlowski
- Department of Psychiatry and PsychotherapyUniversity of MünsterMunsterGermany
| | - Anders M. Dale
- Center for Multimodal Imaging and Genetics, Department of Neuroscience and Department of RadiologyUniversity of California‐San DiegoLa JollaCaliforniaUSA
| | | | - Eco J. C. de Geus
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Lieuwe de Haan
- Academisch Medisch CentrumUniversiteit van AmsterdamAmsterdamNetherlands
| | - Greig I. de Zubicaray
- Faculty of Health, Institute of Health and Biomedical InnovationQueensland University of TechnologyBrisbaneAustralia
| | - Anouk den Braber
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Erin W. Dickie
- Kimel Family Translational Imaging Genetics LaboratoryCampbell Family Mental Health Research Institute, CAMHTorontoCanada
- Department of PsychiatryUniversity of TorontoTorontoCanada
| | - Annabella Di Giorgio
- Biological Psychiatry Lab, Fondazione IRCCS Casa Sollievo della SofferenzaSan Giovanni Rotondo (FG)Italy
| | - Nhat Trung Doan
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Erlend S. Dørum
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
- Sunnaas Rehabilitation Hospital HTNesoddenNorway
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental NeurosciencesTechnische Universität DresdenDresdenGermany
- Faculty of MedicineUniversitätsklinikum Carl Gustav Carus an der TU DresdenDresdenGermany
| | - Susanne Erk
- Division of Mind and Brain Research, Department of Psychiatry and PsychotherapyCharité‐Universitätsmedizin BerlinBerlinGermany
| | - Thomas Espeseth
- Department of PsychologyUniversity of OsloOsloNorway
- Bjørknes CollegeOsloNorway
| | - Helena Fatouros‐Bergman
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
- Stockholm Health Care ServicesStockholm RegionStockholmSweden
| | - Simon E. Fisher
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenNetherlands
| | - Jean‐Paul Fouche
- Department of Psychiatry and Mental HealthUniversity of Cape TownRondeboschSouth Africa
| | - Barbara Franke
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenNetherlands
- Department of PsychiatryRadboud University Medical CenterNijmegenNetherlands
| | - Thomas Frodl
- Department of Psychiatry and PsychotherapyOtto von Guericke University MagdeburgMagdeburgGermany
| | - Paola Fuentes‐Claramonte
- FIDMAG Germanes HospitalàriesMadridSpain
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
| | - David C. Glahn
- Department of Psychiatry, Tommy Fuss Center for Neuropsychiatric Disease Research Boston Children's HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Ian H. Gotlib
- Department of PsychologyStanford UniversityStanfordCaliforniaUSA
| | - Hans‐Jörgen Grabe
- Department of Psychiatry and PsychotherapyUniversity Medicine Greifswald, University of GreifswaldGreifswaldGermany
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
| | - Oliver Grimm
- Department for Psychiatry, Psychosomatics and Psychotherapy, Universitätsklinikum FrankfurtGoethe UniversitatFrankfurtGermany
| | - Nynke A. Groenewold
- Department of Psychiatry and Mental HealthUniversity of Cape TownRondeboschSouth Africa
- Neuroscience InstituteUniversity of Cape TownRondeboschSouth Africa
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Patricia Gruner
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
- Learning Based Recovery CenterVA Connecticut Health SystemNew HavenConnecticutUSA
| | - Rachel E. Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Children's Hospital of PhiladelphiaUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Ruben C. Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Children's Hospital of PhiladelphiaUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Tim Hahn
- Department of Psychiatry and PsychotherapyUniversity of MünsterMunsterGermany
| | - Ben J. Harrison
- Melbourne Neuropsychiatry CenterUniversity of MelbourneMelbourneAustralia
| | - Catharine A. Hartman
- Interdisciplinary Center Psychopathology and Emotion regulationUniversity Medical Center Groningen, University of GroningenGroningenNetherlands
| | - Sean N. Hatton
- Brain and Mind CentreUniversity of SydneySydneyAustralia
| | - Andreas Heinz
- Faculty of MedicineUniversitätsklinikum Carl Gustav Carus an der TU DresdenDresdenGermany
| | - Dirk J. Heslenfeld
- Departments of Experimental and Clinical PsychologyVrije Universiteit AmsterdamAmsterdamNetherlands
| | - Derrek P. Hibar
- Personalized HealthcareGenentech, IncSouth San FranciscoCaliforniaUSA
| | - Ian B. Hickie
- Brain and Mind CentreUniversity of SydneySydneyAustralia
| | - Beng‐Choon Ho
- Department of Psychiatry, Carver College of MedicineThe University of IowaIowa CityIowaUSA
| | - Pieter J. Hoekstra
- Department of PsychiatryUniversity Medical Center Groningen, University of GroningenGroningenNetherlands
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityMannheimGermany
| | - Avram J. Holmes
- Department of PsychologyYale UniversityNew HavenConnecticutUSA
| | - Martine Hoogman
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
- Department of Psychiatry and Mental HealthUniversity of Cape TownRondeboschSouth Africa
| | - Norbert Hosten
- Norbert Institute of Diagnostic Radiology and NeuroradiologyUniversity Medicine Greifswald, University of GreifswaldGreifswaldGermany
| | - Fleur M. Howells
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenNetherlands
- Department for Psychiatry, Psychosomatics and Psychotherapy, Universitätsklinikum FrankfurtGoethe UniversitatFrankfurtGermany
| | | | - Chaim Huyser
- Bascule, Academic Centre for Children and Adolescent PsychiatryDuivendrechtNetherlands
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Terry L. Jernigan
- Center for Human Development, Departments of Cognitive Science, Psychiatry, and RadiologyUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyAustralia
| | - Erik G. Jönsson
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
- Stockholm Health Care ServicesStockholm RegionStockholmSweden
| | - John A. Joska
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenNetherlands
| | - Rene Kahn
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Andrew Kalnin
- Department of RadiologyOhio State University College of MedicineColumbusOhioUSA
| | - Ryota Kanai
- Department of NeuroinformaticsAraya, IncTokyoJapan
| | - Marieke Klein
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
- Department of Psychiatry and Mental HealthUniversity of Cape TownRondeboschSouth Africa
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
| | | | - Laura Koenders
- Department of PsychiatryUniversity of MelbourneMelbourneAustralia
| | - Sanne Koops
- Rudolf Magnus Institute of NeuroscienceUniversity Medical Center UtrechtUtrechtNetherlands
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Jim Lagopoulos
- Sunshine Coast Mind and Neuroscience, Thompson InstituteUniversity of the Sunshine CoastSunshine CoastAustralia
| | - Luisa Lázaro
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of Child and Adolescent Psychiatry and PsychologyHospital Clinic, University of BarcelonaBarcelonaSpain
| | - Irina Lebedeva
- Mental Health Research CenterRussian Academy of Medical SciencesMoskvaRussia
| | - Won Hee Lee
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Klaus‐Peter Lesch
- Department of Psychiatry, Psychosomatics and PsychotherapyJulius‐Maximilians Universität WürzburgWurzburgGermany
| | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of PsychiatryStellenbosch UniversityStellenboschSouth Africa
| | | | - Sophie Maingault
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293Université de BordeauxTalenceFrance
| | - Nicholas G. Martin
- Queensland Institute of Medical ResearchBerghofer Medical Research InstituteBrisbaneAustralia
| | - Ignacio Martínez‐Zalacaín
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of PsychiatryBellvitge University Hospital‐IDIBELL, University of BarcelonaBarcelonaSpain
| | - David Mataix‐Cols
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
- Stockholm Health Care ServicesStockholm RegionStockholmSweden
| | - Bernard Mazoyer
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293Université de BordeauxTalenceFrance
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandDublinIreland
| | - Brenna C. McDonald
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Katie L. McMahon
- School of Clinical Sciences, Institute of Health and Biomedical InnovationQueensland University of TechnologyBrisbaneAustralia
| | - Genevieve McPhilemy
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandDublinIreland
| | - Susanne Meinert
- Department of Psychiatry and PsychotherapyUniversity of MünsterMunsterGermany
| | - José M. Menchón
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of PsychiatryBellvitge University Hospital‐IDIBELL, University of BarcelonaBarcelonaSpain
| | - Sarah E. Medland
- Queensland Institute of Medical ResearchBerghofer Medical Research InstituteBrisbaneAustralia
| | - Andreas Meyer‐Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityHeidelbergGermany
| | - Jilly Naaijen
- Donders Centre for Cognitive NeuroimagingRadboud UniversityNijmegenNetherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
| | - Pablo Najt
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandDublinIreland
| | - Tomohiro Nakao
- Department of Clinical MedicineKyushu UniversityKyushuJapan
| | | | - Lars Nyberg
- Department of Integrative Medical BiologyUmeå UniversityUmeåSweden
- Department of Radiation Sciences, Umeå Center for Functional Brain ImagingUmeå UniversityUmeåSweden
| | - Jaap Oosterlaan
- Department of Clinical NeuropsychologyAmsterdam University Medical Centre, Vrije Universiteit AmsterdamAmsterdamNetherlands
| | - Víctor Ortiz‐García de la Foz
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of Psychiatry, University Hospital “Marques de Valdecilla”Instituto de Investigación Valdecilla (IDIVAL)SantanderSpain
- Instituto de Salud Carlos IIIMadridSpain
| | - Yannis Paloyelis
- Department of Neuroimaging, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Paul Pauli
- Department of Psychology, Biological Psychology, Clinical Psychology and PsychotherapyUniversity of WürzburgWurzburgGermany
- Centre of Mental HealthUniversity of WürzburgWurzburgGermany
| | - Giulio Pergola
- Department of Basic Medical Science, Neuroscience and Sense OrgansUniversity of Bari Aldo MoroBariItaly
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes HospitalàriesMadridSpain
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
| | - Maria J. Portella
- FIDMAG Germanes HospitalàriesMadridSpain
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Steven G. Potkin
- Department of PsychiatryUniversity of California at IrvineIrvineCaliforniaUSA
| | - Joaquim Radua
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
- August Pi i Sunyer Biomedical Research Institut (IDIBAPS)BarcelonaSpain
- Department of Psychosis Studies, Institute of PsychiatryPsychology & Neuroscience, King's College LondonLondonUK
| | - Andreas Reif
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
| | - Daniel A. Rinker
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Joshua L. Roffman
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA
| | - Pedro G. P. Rosa
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Matthew D. Sacchet
- Center for Depression, Anxiety, and Stress ResearchMcLean Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyAustralia
| | | | - Pascual Sánchez‐Juan
- Department of Psychiatry, University Hospital “Marques de Valdecilla”Instituto de Investigación Valdecilla (IDIVAL)SantanderSpain
- Centro de Investigacion Biomedica en Red en Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
| | | | | | - Andrew J. Saykin
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Mauricio H. Serpa
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental HealthParkvilleAustralia
- Centre for Youth Mental HealthThe University of MelbourneMelbourneAustralia
| | - Knut Schnell
- Department of Psychiatry and PsychotherapyUniversity Medical Center GöttingenGöttingenGermany
| | - Gunter Schumann
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
- Centre for Population Neuroscience and Precision Medicine, Institute of PsychiatryPsychology & Neuroscience, King's College LondonLondonUK
| | - Kang Sim
- Institute of Mental HealthSingaporeSingapore
| | - Jordan W. Smoller
- Center for Genomic MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Iris Sommer
- Department of Biomedical Sciences of Cells and Systems, Rijksuniversiteit GroningenUniversity Medical Center GroningenGöttingenNetherlands
| | - Carles Soriano‐Mas
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of PsychiatryBellvitge University Hospital‐IDIBELL, University of BarcelonaBarcelonaSpain
| | - Dan J. Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of PsychiatryStellenbosch UniversityStellenboschSouth Africa
| | | | | | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Henk S. Temmingh
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenNetherlands
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Diana Tordesillas‐Gutiérrez
- FIDMAG Germanes HospitalàriesMadridSpain
- Neuroimaging Unit, Technological FacilitiesValdecilla Biomedical Research Institute IDIVALSantanderSpain
| | - Julian N. Trollor
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyAustralia
| | - Jessica A. Turner
- College of Arts and SciencesGeorgia State UniversityAtlantaGeorgiaUSA
| | - Anne Uhlmann
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenNetherlands
| | - Odile A. van den Heuvel
- Department of Psychiatry, Amsterdam University Medical CentreLocation VUmcAmsterdamNetherlands
| | - Dennis van den Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtNetherlands
| | - Nic J. A. van der Wee
- Department of PsychiatryLeiden University Medical CenterLeidenNetherlands
- Leiden Institute for Brain and CognitionLeidenNetherlands
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus University Medical Center, Sophia Children's HospitalRotterdamThe Netherlands
| | - Dennis van't Ent
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Theo G. M. van Erp
- Department of PsychiatryUniversity of California at IrvineIrvineCaliforniaUSA
- Center for the Neurobiology of Learning and MemoryUniversity of California IrvineIrvineCaliforniaUSA
- Institute of Community MedicineUniversity Medicine, Greifswald, University of GreifswaldGreifswaldGermany
| | - Ilya M. Veer
- Faculty of MedicineUniversitätsklinikum Carl Gustav Carus an der TU DresdenDresdenGermany
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam University Medical CentreLocation VUmcAmsterdamNetherlands
| | - Aristotle Voineskos
- Faculty of Health, Institute of Health and Biomedical InnovationQueensland University of TechnologyBrisbaneAustralia
- Kimel Family Translational Imaging Genetics LaboratoryCampbell Family Mental Health Research Institute, CAMHTorontoCanada
| | - Henry Völzke
- Institute of Community MedicineUniversity Medicine, Greifswald, University of GreifswaldGreifswaldGermany
- German Centre for Cardiovascular Research (DZHK), partner site GreifswaldGreifswaldGermany
- German Center for Diabetes Research (DZD), partner site GreifswaldGreifswaldGermany
| | - Henrik Walter
- Faculty of MedicineUniversitätsklinikum Carl Gustav Carus an der TU DresdenDresdenGermany
| | | | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Feinberg School of MedicineNorthwestern UniversityChicagoIllinoisUSA
| | - Yang Wang
- Department of RadiologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Thomas H. Wassink
- Department of Psychiatry, Carver College of MedicineThe University of IowaIowa CityIowaUSA
| | - Bernd Weber
- Institute for Experimental Epileptology and Cognition ResearchUniversity of BonnBonnGermany
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyAustralia
| | - John D. West
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Lars T. Westlye
- Biological Psychiatry Lab, Fondazione IRCCS Casa Sollievo della SofferenzaSan Giovanni Rotondo (FG)Italy
| | | | - Lara M. Wierenga
- Developmental and Educational Psychology UnitInstitute of Psychology, Leiden UniversityLeidenNetherlands
| | - Steven C. R. Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Katharina Wittfeld
- Department of PsychologyStanford UniversityStanfordCaliforniaUSA
- Department of Psychiatry and PsychotherapyUniversity Medicine Greifswald, University of GreifswaldGreifswaldGermany
| | - Daniel H. Wolf
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Amanda Worker
- Department of Neuroimaging, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | | | - Kun Yang
- National High Magnetic Field LaboratoryFlorida State UniversityTallahasseeFloridaUSA
| | - Yulyia Yoncheva
- Department of Child and Adolescent PsychiatryChild Study Center, NYU Langone HealthNew YorkNew YorkUSA
| | - Marcus V. Zanetti
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
- Instituto de Ensino e Pesquisa, Hospital Sírio‐LibanêsSão PauloBrazil
| | - Georg C. Ziegler
- Division of Molecular Psychiatry, Center of Mental HealthUniversity of WürzburgWurzburgGermany
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Sophia Frangou
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of Psychiatry, Djavad Mowafaghian Centre for Brain HealthUniversity of British ColumbiaVancouverCanada
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Zhou Q, Liu S, Jiang C, He Y, Zuo XN. Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation. Dev Cogn Neurosci 2021; 52:101028. [PMID: 34749182 PMCID: PMC8578043 DOI: 10.1016/j.dcn.2021.101028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/20/2021] [Accepted: 10/19/2021] [Indexed: 11/25/2022] Open
Abstract
The developmental pattern of the amygdala throughout childhood and adolescence has been inconsistently reported in previous neuroimaging studies. Given the relatively small size of the amygdala on full brain MRI scans, discrepancies may be partly due to methodological differences in amygdalar segmentation. To investigate the impact of volume extraction methods on amygdala volume, we compared FreeSurfer, FSL and volBrain segmentation measurements with those obtained by manual tracing. The manual tracing method, which we used as the 'gold standard', exhibited almost perfect intra- and inter-rater reliability. We observed systematic differences in amygdala volumes between automatic (FreeSurfer and volBrain) and manual methods. Specifically, compared with the manual tracing, FreeSurfer estimated larger amygdalae, and volBrain produced smaller amygdalae while FSL demonstrated a mixed pattern. The tracing bias was not uniform, but higher for smaller amygdalae. We further modeled amygdalar growth curves using accelerated longitudinal cohort data from the Chinese Color Nest Project (http://deepneuro.bnu.edu.cn/?p=163). Trajectory modeling and statistical assessments of the manually traced amygdalae revealed linearly increasing and parallel developmental patterns for both girls and boys, although the amygdalae of boys were larger than those of girls. Compared to these trajectories, the shapes of developmental curves were similar when using the volBrain derived volumes. FreeSurfer derived trajectories had more nonlinearities and appeared flatter. FSL derived trajectories demonstrated an inverted U shape and were significantly different from those derived from manual tracing method. The use of amygdala volumes adjusted for total gray-matter volumes, but not intracranial volumes, resolved the shape discrepancies and led to reproducible growth curves between manual tracing and the automatic methods (except FSL). Our findings revealed steady growth of the human amygdala, mirroring its functional development across the school age. Methodological improvements are warranted for current automatic tools to achieve more accurate amygdala structure at school age, calling for next generation tools.
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Affiliation(s)
- Quan Zhou
- Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siman Liu
- Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Jiang
- School of Psychology, Capital Normal University, Beijing, 100048, China
| | - Ye He
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Xi-Nian Zuo
- Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China; National Basic Science Data Center, Beijing, 100190, China; Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
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47
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Grohs MN, Lebel C, Carlson HL, Craig BT, Dewey D. Subcortical brain structure in children with developmental coordination disorder: A T1-weighted volumetric study. Brain Imaging Behav 2021; 15:2756-2765. [PMID: 34386927 PMCID: PMC8761714 DOI: 10.1007/s11682-021-00502-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2021] [Indexed: 11/04/2022]
Abstract
Developmental coordination disorder (DCD) is a neurodevelopmental disorder occurring in 5-6% of school-aged children. Converging evidence suggests that dysfunction within cortico-striatal and cortico-cerebellar networks may contribute to motor deficits in DCD, yet limited research has examined the brain morphology of these regions. Using T1-weighted magnetic resonance imaging the current study investigated cortical and subcortical volumes in 37 children with DCD, aged 8 to 12 years, and 48 controls of a similar age. Regional brain volumes of the thalamus, basal ganglia, cerebellum and primary motor and sensory cortices were extracted using the FreeSurfer recon-all pipeline and compared between groups. Reduced volumes within both the left and right pallidum (Left: F = 4.43, p = 0.039; Right: F = 5.24, p = 0.025) were observed in children with DCD; however, these results did not withstand correction for multiple comparisons. These findings provide preliminary evidence of altered subcortical brain structure in DCD. Future studies that examine the morphology of these subcortical regions are highly encouraged in order replicate these findings.
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Affiliation(s)
- Melody N Grohs
- Department of Neurosciences, University of Calgary, Calgary, Canada
- Alberta Children's Hospital Research Institute (ACHRI), Calgary, Canada
| | - Catherine Lebel
- Alberta Children's Hospital Research Institute (ACHRI), Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute (HBI), University of Calgary, Calgary, Canada
| | - Helen L Carlson
- Alberta Children's Hospital Research Institute (ACHRI), Calgary, Canada
- Hotchkiss Brain Institute (HBI), University of Calgary, Calgary, Canada
- Department of Pediatrics, University of Calgary, Calgary, Canada
| | - Brandon T Craig
- Department of Neurosciences, University of Calgary, Calgary, Canada
- Alberta Children's Hospital Research Institute (ACHRI), Calgary, Canada
- Hotchkiss Brain Institute (HBI), University of Calgary, Calgary, Canada
| | - Deborah Dewey
- Alberta Children's Hospital Research Institute (ACHRI), Calgary, Canada.
- Hotchkiss Brain Institute (HBI), University of Calgary, Calgary, Canada.
- Department of Pediatrics, University of Calgary, Calgary, Canada.
- Department of Community Health Sciences, University of Calgary, Calgary, Canada.
- Child Development Center, #397 Owerko Center, 2500 University Dr. NW, Calgary, AB, T2N 1N4, Canada.
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48
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Body fat, cardiovascular risk factors and brain structure in school-age children. Int J Obes (Lond) 2021; 45:2425-2431. [PMID: 34267324 DOI: 10.1038/s41366-021-00913-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/17/2021] [Accepted: 07/06/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND In adults, cardiovascular risk factors are known to be associated with brain health. We hypothesized that these associations are already present at school-age. We examined the associations of adverse body fat measures and cardiovascular risk factors with brain structure, including volumetric measures and white matter microstructure, in 10-year-old children. METHODS We performed a cross-sectional analysis in a population-based prospective cohort study in Rotterdam, the Netherlands. Analyses were based on 3098 children aged 10 years with neuroimaging data and at least one measurement of body fat and cardiovascular risk factors. Body fat measures included body mass index (BMI), fat mass index and android fat mass percentage obtained by Dual-energy X-ray absorptiometry. Cardiovascular risk factors included blood pressure, and serum glucose, insulin and lipids blood concentrations. Structural neuroimaging, including global and regional brain volumes, was quantified by magnetic resonance imaging. DTI was used to assess white matter microstructure, including global fractional anisotropy (FA) and mean diffusivity (MD). RESULTS As compared to children with a normal weight, those with underweight had a smaller total brain and white matter volumes (differences -18.10 (95% Confidence Interval (CI) -30.97,-5.22) cm3, -10.64 (95% CI -16.82,-4.47) cm3, respectively). In contrast, one SDS (Standard Deviation Score) increase in fat mass index was associated with a smaller gray matter volume (differences -3.48 (95% CI -16.82, -4.47) cm3). Also, one SDS increase in android fat mass percentage was associated with lower white matter diffusivity (difference -0.06 (95% CI -0.10, -0.02) SDS). None of the other cardiovascular risk factors were associated with any of the brain outcomes. CONCLUSIONS Body fat measures, but not other cardiovascular risk factors, were associated with structural neuroimaging outcomes in school-aged children. Prospective studies are needed to assess causality, direction and long-term consequences of the associations.
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49
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Matern TS, DeCarlo R, Ciliberto MA, Singh RK. Palliative Epilepsy Surgery Procedures in Children. Semin Pediatr Neurol 2021; 39:100912. [PMID: 34620461 DOI: 10.1016/j.spen.2021.100912] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 10/20/2022]
Abstract
Surgical treatment of epilepsy typically focuses on identification of a seizure focus with subsequent resection and/or disconnection to "cure" the patient's epilepsy and achieve seizure freedom. Palliative epilepsy surgery modalities are efficacious in improving seizure frequency, severity, and quality of life. In this paper, we review palliative epilepsy surgical options for children: vagus nerve stimulation, responsive neurostimulation, deep brain stimulation, hemispherotomy, corpus callosotomy, lobectomy and/or lesionectomy and multiple subpial transection. Reoperation after surgical resection should also be considered. If curative resection is not a viable option for seizure freedom, these methods should be considered with equal emphasis and urgency in the treatment of drug-resistant epilepsy.
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Affiliation(s)
| | | | - Michael A Ciliberto
- Department of Pediatrics, Stead Family Children's Hospital/University of Iowa
| | - Rani K Singh
- Department of Pediatrics, Atrium Health System/Levine Children's Hospital.
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50
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Heit JJ, Muthusami P, Chandra RV, Hui F, Negrotto M, Lee S, Wasserman BA, Abruzzo TA. Reperfusion Therapies for Children With Arterial Ischemic Stroke. Top Magn Reson Imaging 2021; 30:231-243. [PMID: 34613946 DOI: 10.1097/rmr.0000000000000273] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
ABSTRACT Modern hyperacute reperfusion therapies including intravenous thrombolysis and mechanical thrombectomy have transformed the management of arterial ischemic stroke (AIS) in adults. Multiple randomized clinical trials have demonstrated that these therapies enable remarkable improvements in clinical outcome for properly selected patients with AIS. Because pediatric patients were excluded from predicate clinical trials, there is a conspicuous lack of data to guide selection of therapies and inform age-adjusted and pathology-oriented treatment modifications for children. Specifically, technical guidance concerning treatment eligibility, drug dosing, and device implementation is lacking. This review aims to outline important features that differentiate pediatric AIS from adult AIS and provide practical strategies that will assist the stroke specialist with therapeutic decision making.
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Affiliation(s)
- Jeremy J Heit
- Department of Radiology, Stanford University Medical Center, Stanford, CA.,Department of Neurosurgery, Stanford University Medical Center, Stanford, CA
| | | | - Ronil V Chandra
- Monash University Medical Center, Monash University, Melbourne, Australia
| | - Ferdinand Hui
- Johns Hopkins University Medical Center, Baltimore, MD
| | | | - Sarah Lee
- Department of Neurology and Neurological Sciences, Stanford University Medical Center, Stanford, CA
| | | | - Todd A Abruzzo
- Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, AZ.,University of Arizona School of Medicine, Phoenix, AZ.,Mayo Clinic College of Medicine, Phoenix, AZ
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