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Gonzalez MR, Uban KA, Tapert SF, Sowell ER. Prenatal tobacco exposure associations with physical health and neurodevelopment in the ABCD cohort. Health Psychol 2023; 42:856-867. [PMID: 36716140 PMCID: PMC10387130 DOI: 10.1037/hea0001265] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVE To investigate the strength and reproducibility of the teratogenic impact of prenatal tobacco exposure (PTE) on child physical health and neurodevelopmental outcomes, in the context of intersecting sociodemographic and other prenatal correlates, and test if early postnatal health mediates PTE associations with childhood outcomes. METHOD Among 9-10-year-olds (N = 8,803) in the Adolescent Brain Cognitive Development Study, linear mixed-effect models tested PTE associations with birth and childhood outcomes of physical health, cognitive performance, and brain structure, controlling for confounding sociodemographic and prenatal health correlates. Mediation analysis tested the extent to which health at birth explained the associations between PTE and childhood outcomes. RESULTS PTE was reported by 12% of mothers (8% [n = 738] pre-knowledge of pregnancy only, and 4% [n = 361] pre- and post-knowledge of pregnancy). PTE was highest for children with a risk for passive smoke exposure. Overall, children with any PTE had shorter breastfeeding durations than those without PTE, and PTE following knowledge of pregnancy was associated with being small for gestational age having lower birth weight, and obesity and lower cortical volume and surface area in childhood. Among children from high-parent education households, any PTE was related to lower cognitive performance, which was partially mediated by duration of breastfeeding. CONCLUSIONS PTE was linked to poorer health indicators at birth and neurodevelopmental outcomes at age 9-10 years in a large community cohort, independent of sociodemographic factors. Efficacious interventions for smoking-cessation during pregnancy are still needed and should incorporate support for breastfeeding to promote healthier development. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | - Kristina A Uban
- Department of Health, Society and Behavior, Public Health, University of California, Irvine
| | - Susan F Tapert
- Department of Psychiatry, University of California, San Diego
| | - Elizabeth R Sowell
- Division of Research on Children, Youth and Families, Children's Hospital Los Angeles
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2
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Lozano Wun V, Foland‐Ross LC, Jo B, Green T, Hong D, Ross JL, Reiss AL. Adolescent brain development in girls with Turner syndrome. Hum Brain Mapp 2023; 44:4028-4039. [PMID: 37126641 PMCID: PMC10258525 DOI: 10.1002/hbm.26327] [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: 07/19/2022] [Revised: 02/08/2023] [Accepted: 04/12/2023] [Indexed: 05/03/2023] Open
Abstract
Turner syndrome (TS) is a common sex chromosome aneuploidy in females associated with various physical, cognitive, and socio-emotional phenotypes. However, few studies have examined TS-associated alterations in the development of cortical gray matter volume and the two components that comprise this measure-surface area and thickness. Moreover, the longitudinal direct (i.e., genetic) and indirect (i.e., hormonal) effects of X-monosomy on the brain are unclear. Brain structure was assessed in 61 girls with TS (11.3 ± 2.8 years) and 55 typically developing girls (10.8 ± 2.3 years) for up to 4 timepoints. Surface-based analyses of cortical gray matter volume, thickness, and surface area were conducted to examine the direct effects of X-monosomy present before pubertal onset and indirect hormonal effects of estrogen deficiency/X-monosomy emerging after pubertal onset. Longitudinal analyses revealed that, whereas typically developing girls exhibited normative declines in gray matter structure during adolescence, this pattern was reduced or inverted in TS. Further, girls with TS demonstrated smaller total surface area and larger average cortical thickness overall. Regionally, the TS group exhibited decreased volume and surface area in the pericalcarine, postcentral, and parietal regions relative to typically developing girls, as well as larger volume in the caudate, amygdala, and temporal lobe regions and increased thickness in parietal and temporal regions. Surface area alterations were predominant by age 8, while maturational differences in thickness emerged by age 10 or later. Taken together, these results suggest the involvement of both direct and indirect effects of X-chromosome haploinsufficiency on brain development in TS.
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Affiliation(s)
- Vanessa Lozano Wun
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral SciencesStanford UniversityStanfordCaliforniaUSA
- Department of PsychologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Lara C. Foland‐Ross
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral SciencesStanford UniversityStanfordCaliforniaUSA
| | - Booil Jo
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral SciencesStanford UniversityStanfordCaliforniaUSA
| | - Tamar Green
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral SciencesStanford UniversityStanfordCaliforniaUSA
| | - David Hong
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral SciencesStanford UniversityStanfordCaliforniaUSA
| | - Judith L. Ross
- Department of PediatricsThomas Jefferson UniversityPhiladelphiaPennsylvaniaUSA
- Nemours Children's HospitalWilmingtonDelawareUSA
| | - Allan L. Reiss
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral SciencesStanford UniversityStanfordCaliforniaUSA
- Department of PediatricsStanford University School of MedicineStanfordCaliforniaUSA
- Department of RadiologyStanford University School of MedicineStanfordCaliforniaUSA
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3
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Qu X, Wang Z, Cheng Y, Xue Q, Li Z, Li L, Feng L, Hartwigsen G, Chen L. Neuromodulatory effects of transcranial magnetic stimulation on language performance in healthy participants: Systematic review and meta-analysis. Front Hum Neurosci 2022; 16:1027446. [PMID: 36545349 PMCID: PMC9760723 DOI: 10.3389/fnhum.2022.1027446] [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: 08/25/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022] Open
Abstract
Background The causal relationships between neural substrates and human language have been investigated by transcranial magnetic stimulation (TMS). However, the robustness of TMS neuromodulatory effects is still largely unspecified. This study aims to systematically examine the efficacy of TMS on healthy participants' language performance. Methods For this meta-analysis, we searched PubMed, Web of Science, PsycINFO, Scopus, and Google Scholar from database inception until October 15, 2022 for eligible TMS studies on language comprehension and production in healthy adults published in English. The quality of the included studies was assessed with the Cochrane risk of bias tool. Potential publication biases were assessed by funnel plots and the Egger Test. We conducted overall as well as moderator meta-analyses. Effect sizes were estimated using Hedges'g (g) and entered into a three-level random effects model. Results Thirty-seven studies (797 participants) with 77 effect sizes were included. The three-level random effects model revealed significant overall TMS effects on language performance in healthy participants (RT: g = 0.16, 95% CI: 0.04-0.29; ACC: g = 0.14, 95% CI: 0.04-0.24). Further moderator analyses indicated that (a) for language tasks, TMS induced significant neuromodulatory effects on semantic and phonological tasks, but didn't show significance for syntactic tasks; (b) for cortical targets, TMS effects were not significant in left frontal, temporal or parietal regions, but were marginally significant in the inferior frontal gyrus in a finer-scale analysis; (c) for stimulation parameters, stimulation sites extracted from previous studies, rTMS, and intensities calibrated to the individual resting motor threshold are more prone to induce robust TMS effects. As for stimulation frequencies and timing, both high and low frequencies, online and offline stimulation elicited significant effects; (d) for experimental designs, studies adopting sham TMS or no TMS as the control condition and within-subject design obtained more significant effects. Discussion Overall, the results show that TMS may robustly modulate healthy adults' language performance and scrutinize the brain-and-language relation in a profound fashion. However, due to limited sample size and constraints in the current meta-analysis approach, analyses at a more comprehensive level were not conducted and results need to be confirmed by future studies. Systematic review registration [https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=366481], identifier [CRD42022366481].
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Affiliation(s)
- Xingfang Qu
- Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, Beijing, China
| | - Zichao Wang
- Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, Beijing, China
| | - Yao Cheng
- Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, Beijing, China
| | - Qingwei Xue
- Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, Beijing, China
| | - Zimu Li
- Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, Beijing, China
| | - Lu Li
- Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, Beijing, China
| | - Liping Feng
- Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, Beijing, China
| | - Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Luyao Chen
- Max Planck Partner Group, School of International Chinese Language Education, Beijing Normal University, Beijing, China,*Correspondence: Luyao Chen,
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Sakakura K, Sonoda M, Mitsuhashi T, Kuroda N, Firestone E, O'Hara N, Iwaki H, Lee MH, Jeong JW, Rothermel R, Luat AF, Asano E. Developmental organization of neural dynamics supporting auditory perception. Neuroimage 2022; 258:119342. [PMID: 35654375 PMCID: PMC9354710 DOI: 10.1016/j.neuroimage.2022.119342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 05/09/2022] [Accepted: 05/29/2022] [Indexed: 11/28/2022] Open
Abstract
Purpose: A prominent view of language acquisition involves learning to ignore irrelevant auditory signals through functional reorganization, enabling more efficient processing of relevant information. Yet, few studies have characterized the neural spatiotemporal dynamics supporting rapid detection and subsequent disregard of irrelevant auditory information, in the developing brain. To address this unknown, the present study modeled the developmental acquisition of cost-efficient neural dynamics for auditory processing, using intracranial electrocorticographic responses measured in individuals receiving standard-of-care treatment for drug-resistant, focal epilepsy. We also provided evidence demonstrating the maturation of an anterior-to-posterior functional division within the superior-temporal gyrus (STG), which is known to exist in the adult STG. Methods: We studied 32 patients undergoing extraoperative electrocorticography (age range: eight months to 28 years) and analyzed 2,039 intracranial electrode sites outside the seizure onset zone, interictal spike-generating areas, and MRI lesions. Patients were given forward (normal) speech sounds, backward-played speech sounds, and signal-correlated noises during a task-free condition. We then quantified sound processing-related neural costs at given time windows using high-gamma amplitude at 70–110 Hz and animated the group-level high-gamma dynamics on a spatially normalized three-dimensional brain surface. Finally, we determined if age independently contributed to high-gamma dynamics across brain regions and time windows. Results: Group-level analysis of noise-related neural costs in the STG revealed developmental enhancement of early high-gamma augmentation and diminution of delayed augmentation. Analysis of speech-related high-gamma activity demonstrated an anterior-to-posterior functional parcellation in the STG. The left anterior STG showed sustained augmentation throughout stimulus presentation, whereas the left posterior STG showed transient augmentation after stimulus onset. We found a double dissociation between the locations and developmental changes in speech sound-related high-gamma dynamics. Early left anterior STG high-gamma augmentation (i.e., within 200 ms post-stimulus onset) showed developmental enhancement, whereas delayed left posterior STG high-gamma augmentation declined with development. Conclusions: Our observations support the model that, with age, the human STG refines neural dynamics to rapidly detect and subsequently disregard uninformative acoustic noises. Our study also supports the notion that the anterior-to-posterior functional division within the left STG is gradually strengthened for efficient speech sound perception after birth.
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Affiliation(s)
- Kazuki Sakakura
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurosurgery, University of Tsukuba, Tsukuba, 3058575, Japan
| | - Masaki Sonoda
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurosurgery, Yokohama City University, Yokohama, Kanagawa, 2360004, Japan
| | - Takumi Mitsuhashi
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurosurgery, Juntendo University, School of Medicine, Tokyo, 1138421, Japan
| | - Naoto Kuroda
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, 9808575, Japan
| | - Ethan Firestone
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Physiology, Wayne State University, Detroit, MI 48201, USA
| | - Nolan O'Hara
- Translational Neuroscience Program, Wayne State University, Detroit, Michigan, 48201, USA
| | - Hirotaka Iwaki
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, 9808575, Japan
| | - Min-Hee Lee
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA
| | - Jeong-Won Jeong
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurology, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Translational Neuroscience Program, Wayne State University, Detroit, Michigan, 48201, USA
| | - Robert Rothermel
- Department of Psychiatry, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA
| | - Aimee F Luat
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurology, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Pediatrics, Central Michigan University, Mt. Pleasant, MI 48858, USA
| | - Eishi Asano
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurology, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Translational Neuroscience Program, Wayne State University, Detroit, Michigan, 48201, USA..
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Kvanta H, Bolk J, Strindberg M, Jiménez-Espinoza C, Broström L, Padilla N, Ådén U. Exploring the distribution of grey and white matter brain volumes in extremely preterm children, using magnetic resonance imaging at term age and at 10 years of age. PLoS One 2021; 16:e0259717. [PMID: 34739529 PMCID: PMC8570467 DOI: 10.1371/journal.pone.0259717] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 10/25/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES To investigate differences in brain volumes between children born extremely preterm and term born controls at term age and at 10 years of age. STUDY DESIGN Children born extremely preterm (EPT), up to 26 weeks and 6 days gestational age, in Stockholm between January 1 2004 to March 31 2007 were included in this population-based cohort study. A total of 45 EPT infants were included at term age and 51 EPT children were included at 10 years of age. There were 27 EPT children included at both time points. Two different control groups were recruited; 15 control infants were included at term age and 38 control children at 10 years of age. The primary outcomes were the grey and white matter volumes. Linear regression, adjusted for intracranial volume and sex, was used. RESULTS At term age, the extremely preterm infants had significantly smaller grey matter volume compared to the control infants with an adjusted mean difference of 5.0 cm3 and a 95% confidence interval of -8.4 to -1.5 (p = 0.004). At 10 years of age the extremely preterm children had significantly smaller white matter volume compared to the control children with an adjusted mean difference of 6.0 cm3 and a 95% confidence interval of -10.9 to -1.0 (p = 0.010). CONCLUSION Extremely preterm birth was associated with reduced grey matter volume at term age and reduced white matter volume at 10 years of age compared to term born controls.
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Affiliation(s)
- Hedvig Kvanta
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
| | - Jenny Bolk
- Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs’ Children and Youth Hospital, South General Hospital, Stockholm, Sweden
| | - Marika Strindberg
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
| | - Carmen Jiménez-Espinoza
- Faculty of Health Sciences, Department of Basic Medical Sciences, Physiology Section, University of La Laguna, Tenerife, Spain
| | - Lina Broström
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
- Sachs’ Children and Youth Hospital, South General Hospital, Stockholm, Sweden
| | - Nelly Padilla
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
| | - Ulrika Ådén
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
- Department of Neonatology, Karolinska University Hospital, Stockholm, Sweden
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6
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Woo Y, Kang W, Kang Y, Kim A, Han KM, Tae WS, Ham BJ. Cortical Thickness and Surface Area Abnormalities in Bipolar I and II Disorders. Psychiatry Investig 2021; 18:850-863. [PMID: 34500506 PMCID: PMC8473857 DOI: 10.30773/pi.2021.0074] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 07/11/2021] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE Although bipolar II disorder (BD II) is not simply a mitigated form of bipolar I disorder (BD I), their neurobiological differences have not been elucidated. The present study aimed to explore cortical thickness (CT) and surface area (SA) in patients with BD I and BD II and healthy controls (HCs) to investigate the shared and unique neurobiological mechanisms of BD subtypes. METHODS We enrolled 30 and 44 patients with BD I and BD II, respectively, and 100 HCs. We evaluated CT and SA using FreeSurfer and estimated differences in CT and SA among the three groups (BD I vs. BD II vs. HC). We adjusted for age, sex, educational level, and intracranial volume as confounding factors. RESULTS We found widespread cortical thinning in the bilateral frontal, temporal, and occipital regions; cingulate gyrus; and insula in patients with BD. Alterations in SA, including increased SA of the pars triangularis and decreased SA of the insula, were noted in patients with BD. Overall, we found BD II patients demonstrated decreased SA in the right long insula compared to BD I patients. CONCLUSION Our results suggest that decreased SA in the right long insula is crucial for differentiating BD subtypes.
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Affiliation(s)
- Yoonmi Woo
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
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Gonzalez MR, Baaré WFC, Hagler DJ, Archibald S, Vestergaard M, Madsen KS. Brain structure associations with phonemic and semantic fluency in typically-developing children. Dev Cogn Neurosci 2021; 50:100982. [PMID: 34171560 PMCID: PMC8242963 DOI: 10.1016/j.dcn.2021.100982] [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] [Received: 02/01/2021] [Revised: 05/13/2021] [Accepted: 06/20/2021] [Indexed: 12/26/2022] Open
Abstract
Verbal fluency is the ability to retrieve lexical knowledge quickly and efficiently and develops during childhood and adolescence. Few studies have investigated associations between verbal fluency performance and brain structural variation in children. Here we examined associations of verbal fluency performance with structural measures of frontal and temporal language-related brain regions and their connections in 73 typically-developing children aged 7-13 years. Tract-based spatial statistics was used to extract fractional anisotropy (FA) from the superior longitudinal fasciculus/arcuate fasciculus (SLF/AF), and the white matter underlying frontal and temporal language-related regions. FreeSurfer was used to extract cortical thickness and surface area. Better semantic and phonemic fluency performance was associated with higher right SLF/AF FA, and phonemic fluency was also modestly associated with lower left SLF/AF FA. Explorative voxelwise analyses for semantic fluency suggested associations with FA in other fiber tracts, including corpus callosum and right inferior fronto-occipital fasciculus. Overall, our results suggest that verbal fluency performance in children may rely on right hemisphere structures, possibly involving both language and executive function networks, and less on solely left hemisphere structures as often is observed in adults. Longitudinal studies are needed to clarify whether these associations are mediated by maturational processes, stable characteristics and/or experience.
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Affiliation(s)
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, DK-2650, Hvidovre, Denmark.
| | - Donald J Hagler
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA.
| | - Sarah Archibald
- Center for Human Development, University of California, San Diego, La Jolla, CA, USA.
| | - Martin Vestergaard
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, DK-2650, Hvidovre, Denmark; Department of Child and Adolescent Psychiatry, Psychiatry Region Zealand, Ny Østergade 12, DK-4000, Roskilde, Denmark.
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, DK-2650, Hvidovre, Denmark; Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, DK-2650, Hvidovre, Denmark; Radiography, Department of Technology, University College Copenhagen, Sigurdsgade 26, DK-2200, Copenhagen N., Denmark.
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8
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Gonzalez MR, Palmer CE, Uban KA, Jernigan TL, Thompson WK, Sowell ER. Positive Economic, Psychosocial, and Physiological Ecologies Predict Brain Structure and Cognitive Performance in 9-10-Year-Old Children. Front Hum Neurosci 2020; 14:578822. [PMID: 33192411 PMCID: PMC7655980 DOI: 10.3389/fnhum.2020.578822] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 09/18/2020] [Indexed: 12/22/2022] Open
Abstract
While low socioeconomic status (SES) introduces risk for developmental outcomes among children, there are an array of proximal processes that determine the ecologies and thus the lived experiences of children. This study examined interrelations between 22 proximal measures in the economic, psychosocial, physiological, and perinatal ecologies of children, in association with brain structure and cognitive performance in a diverse sample of 8,158 9-10-year-old children from the Adolescent Brain Cognitive Development (ABCD) study. SES was measured by the income-to-needs ratio (INR), a measure used by federal poverty guidelines. Within the ABCD study, in what is one of the largest and most diverse cohorts of children studied in the United States, we replicate associations of low SES with lower total cortical surface area and worse cognitive performance. Associations between low SES (<200% INR) and measures of development showed the steepest increases with INR, with apparent increases still visible beyond the level of economic disadvantage in the range of 200-400% INR. Notably, we found three latent factors encompassing positive ecologies for children across the areas of economic, psychosocial, physiological, and perinatal well-being in association with better cognitive performance and the higher total cortical surface area beyond the effects of SES. Specifically, latent factors encompassing youth perceived social support and perinatal well-being were positive predictors of developmental measures for all children, regardless of SES. Further, we found a general latent factor that explained relationships between 20 of the proximal measures and encompassed a joint ecology of higher social and economic resources relative to low adversity across psychosocial, physiological, and perinatal domains. The association between the resource-to-adversity latent factor and cognitive performance was moderated by SES, such that for children in higher SES households, cognitive performance progressively increased with these latent factor scores, while for lower SES, cognitive performance increased only among children with the highest latent factor scores. Our findings suggest that both positive ecologies of increased access to resources and lower adversity are mutually critical for promoting better cognitive development in children from low SES households. Our findings inform future studies aiming to examine positive factors that influence healthier development in children.
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Affiliation(s)
- Marybel Robledo Gonzalez
- Children’s Hospital Los Angeles, Los Angeles, CA, United States
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Clare E. Palmer
- Center for Human Development, University of California, San Diego, San Diego, CA, United States
| | - Kristina A. Uban
- Public Health, University of California, Irvine, Irvine, CA, United States
| | - Terry L. Jernigan
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
- Center for Human Development, University of California, San Diego, San Diego, CA, United States
| | - Wesley K. Thompson
- Department of Family Medicine and Public Health, Division of Biostatistics, University of California, San Diego, San Diego, CA, United States
| | - Elizabeth R. Sowell
- Children’s Hospital Los Angeles, Los Angeles, CA, United States
- Department of Pediatrics of the Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
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Ware AL, Goodrich-Hunsaker NJ, Lebel C, Shukla A, Wilde EA, Abildskov TJ, Bigler ED, Cohen DM, Mihalov LK, Bacevice A, Bangert BA, Taylor HG, Yeates KO. Post-Acute Cortical Thickness in Children with Mild Traumatic Brain Injury versus Orthopedic Injury. J Neurotrauma 2020; 37:1892-1901. [PMID: 32178577 DOI: 10.1089/neu.2019.6850] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Studies of brain morphometry may illuminate the effects of pediatric mild traumatic brain injury (TBI; e.g., concussion). However, no published studies have examined cortical thickness in the early injury phases of pediatric mild TBI using an appropriate comparison group. The current study used an automated approach (i.e., FreeSurfer) to determine whether cortical thickness differed in children following a mild TBI or a mild orthopedic injury (OI), and to examine whether post-acute cortical thickness predicted post-acute and chronic post-concussive symptoms (PCS). Children ages 8.00-16.99 years with mild TBI (n = 136) or OI (n = 70) were recruited at emergency department visits to two children's hospitals, during which parents rated children's pre-injury symptoms retrospectively. Children completed a post-acute (3-24 days post-injury) assessment, which included a 3 Tesla MRI, and 3- and 6-month post-injury assessments. Parents and children rated PCS at each assessment. Cortical thickness was estimated using FreeSurfer. Linear mixed effects and multi-variable negative binomial regression models were used to test study aims, with false discovery rate (FDR) correction for multiple comparisons. Groups differed significantly on left parietal cortical thickness (TBI > OI) after FDR correction. Cortical thickness also varied by brain subregion and age, but not sex. Groups differed significantly on PCS post-acutely (TBI > OI), but not at 3 or 6 months. Right frontal thickness was positively related to post-acute PCS in both groups. Right cingulum thickness predicted chronic PCS in the OI group only. Results highlight the complexity of predicting outcomes of pediatric mild TBI from post-acute neuroimaging biomarkers.
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Affiliation(s)
- Ashley L Ware
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Naomi J Goodrich-Hunsaker
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA.,Department of Psychology, Brigham Young University, Provo, Utah, USA
| | - Catherine Lebel
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Ayushi Shukla
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Elisabeth A Wilde
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Tracy J Abildskov
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Erin D Bigler
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA.,Department of Psychology, Brigham Young University, Provo, Utah, USA
| | - Daniel M Cohen
- Abigail Wexner Research Institute at Nationwide Children's Hospital, and Department of Pediatrics, Ohio State University, Columbus, Ohio, USA
| | - Leslie K Mihalov
- Abigail Wexner Research Institute at Nationwide Children's Hospital, and Department of Pediatrics, Ohio State University, Columbus, Ohio, USA
| | - Ann Bacevice
- Department of Pediatrics, Case Western Reserve University, Cleveland, Ohio, USA
| | - Barbara A Bangert
- Department of Pediatrics, Case Western Reserve University, Cleveland, Ohio, USA
| | - H Gerry Taylor
- Abigail Wexner Research Institute at Nationwide Children's Hospital, and Department of Pediatrics, Ohio State University, Columbus, Ohio, USA
| | - Keith Owen Yeates
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
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10
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Stimulant Diversion Risk Among College Students Treated for ADHD: Primary Care Provider Prevention Training. Acad Pediatr 2020; 20:119-127. [PMID: 31185307 PMCID: PMC6899216 DOI: 10.1016/j.acap.2019.06.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 05/07/2019] [Accepted: 06/02/2019] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To address increasing rates of stimulant misuse in college students, this study developed an evidence-based, brief clinical practice intervention for primary care providers (PCPs) to reduce stimulant medication diversion among young adults with attention-deficit/hyperactivity disorder (ADHD). METHODS College students (N-114; 18-25 years; 68% attending universities; 24% attending community college) treated for ADHD with a stimulant and their PCPs across six practices participated in this initial, uncontrolled study of pre- to post-intervention change. An educational workshop providing strategies aimed at reducing stimulant diversion was developed and delivered to providers and staff across all practices (50% pediatric; 50% family medicine). Patients and providers completed baseline and post intervention surveys. RESULTS Diversion was relatively infrequent, 16.7% at baseline and 14.9% post-intervention, respectively. Statistically significant decreases from baseline to post-intervention were found for three diversion risk factors: (1) number of times approached to divert, (2) intent to share, sell, or trade stimulants, and (3) disclosure of stimulant use. Providers and staff reported mostly high satisfaction with the training. CONCLUSIONS This study provides initial evidence for a PCP-delivered intervention to reduce stimulant diversion. Research is needed on the efficacy of targeting college students directly, working with pharmacies and student health centers, and preventing misuse among teenagers.
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11
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Hasler HM, Brown TT, Akshoomoff N. Variations in brain morphometry among healthy preschoolers born preterm. Early Hum Dev 2019; 140:104929. [PMID: 31751933 PMCID: PMC7231635 DOI: 10.1016/j.earlhumdev.2019.104929] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 10/04/2019] [Accepted: 11/05/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Preterm birth is associated with an increased risk of neonatal brain injury, which can lead to alterations in brain maturation. Despite being born without the most significant medical consequences of preterm birth, infants born early remain at increased risk for subtle brain injury that affects future neurodevelopment and functioning. AIMS To investigate the gray matter morphometry measures of cortical thickness, cortical surface area, and sulcal depth using MRI at 5 years of age in healthy children born preterm. STUDY DESIGN Cohort study. SUBJECTS Participants were 52 children born preterm (<33 weeks gestational age) and 37 children born full term. OUTCOME MEASURES Cortical segmentation and calculation of morphometry measures were completed using FreeSurfer version 5.3.0 and compared between groups using surface-based, voxel-wise analyses. RESULTS The preterm group had a significantly thinner cortex in temporal and parietal regions while cortical thickness was significantly larger within occipital and inferior frontal regions. Surface area was significantly reduced within the fusiform gyrus. Sulcal depth was significantly lower within the posterior parietal and inferior temporal regions but greater in the middle temporal and medial parietal regions. CONCLUSIONS Regional differences were found between preschoolers born preterm and full term in cortical thickness, surface area, and sulcal depth. Cortical thickness differences primarily overlapped with regions found in previous studies of older children and adults. Differences in sulcal depth may represent additional areas of maturational differences in preterm children. These findings likely represent a combination of delayed maturation and permanent alterations caused by the perinatal processes associated with preterm birth.
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Affiliation(s)
- Holly M. Hasler
- Center for Human Development, University of California San Diego, United States of America,San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, United States of America
| | - Timothy T. Brown
- Center for Human Development, University of California San Diego, United States of America,Department of Neurosciences, University of California, San Diego School of Medicine, United States of America
| | - Natacha Akshoomoff
- Center for Human Development, University of California San Diego, United States of America; Department of Psychiatry, University of California San Diego School of Medicine, United States of America.
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12
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Abstract
Developmental cognitive neuroscience is flourishing but there are new challenges and new questions to be asked. I argue that we need a bigger picture and an evolutionary framework. This brings some challenges, such as the need to rewrite the old story of nature and nurture, and the need to systematically investigate innate predispositions. While brain imaging has provided some splendid insights and new puzzles to solve, its limitations must not be ignored. Can they help us to find out more about the extent to which the infant brain already configures the adult brain? Can we find out why neurodevelopmental disorders often have severe consequences on cognition and behaviour, despite the mitigating force of brain plasticity? I wish to encourage researchers of the future to take risks by letting their imagination inspire theories to pursue hard questions. I end with a wish list of topics, from start-up kits to abstract reasoning, that I hope can be tackled afresh. However, collecting physiological and behavioural data is not enough. We need a deeper understanding of the mechanisms of cognitive development.
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Affiliation(s)
- Uta Frith
- UCL Institute of Cognitive Neuroscience, United Kingdom.
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13
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Jones RM, Pattwell SS. Future considerations for pediatric cancer survivorship: Translational perspectives from developmental neuroscience. Dev Cogn Neurosci 2019; 38:100657. [PMID: 31158802 PMCID: PMC6697051 DOI: 10.1016/j.dcn.2019.100657] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 04/26/2019] [Accepted: 05/06/2019] [Indexed: 02/06/2023] Open
Abstract
Breakthroughs in modern medicine have increased pediatric cancer survival rates throughout the last several decades. Despite enhanced cure rates, a subset of pediatric cancer survivors exhibit life-long psychological side effects. A large body of work has addressed potential mechanisms for secondary symptoms of anxiety, post-traumatic stress, impaired emotion regulation and cognitive deficits in adults. Yet, absent from many studies are the ways in which cancer treatment can impact the developing brain. Additionally, it remains less known whether typical neurobiological changes during adolescence and early adulthood may potentially buffer or exacerbate some of the known negative cancer survivorship outcomes. This review highlights genetic, animal, and human neuroimaging research across development. We focus on the neural circuitry associated with aversive learning, which matures throughout childhood, adolescence and early adulthood. We argue that along with other individual differences, the precise timing of oncological treatment insults on such neural circuitry may expose particular vulnerabilities for pediatric cancer patients. We also explore other moderators of treatment outcomes, including genetic polymorphisms and neural mechanisms underlying memory and cognitive control. We discuss how neural maturation extending into young adulthood may also provide a sensitive period for intervention to improve psychological and cognitive outcomes in pediatric cancer survivors.
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Affiliation(s)
- Rebecca M Jones
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, United States
| | - Siobhan S Pattwell
- Human Biology Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Mailstop C3-168, Seattle, WA 98109, United States.
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14
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O'Rawe JF, Huang AS, Klein DN, Leung HC. Posterior parietal influences on visual network specialization during development: An fMRI study of functional connectivity in children ages 9 to 12. Neuropsychologia 2019; 127:158-170. [PMID: 30849407 DOI: 10.1016/j.neuropsychologia.2019.03.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Revised: 02/20/2019] [Accepted: 03/04/2019] [Indexed: 11/27/2022]
Abstract
Visual processing in the primate brain is highly organized along the ventral visual pathway, although it is still unclear how categorical selectivity emerges in this system. While many theories have attempted to explain the pattern of visual specialization within the ventral occipital and temporal areas, the biased connectivity hypothesis provides a framework which postulates extrinsic connectivity as a potential mechanism in shaping the development of category selectivity. As the posterior parietal cortex plays a central role in visual attention, we examined whether the pattern of parietal connectivity with the face and scene processing regions is closely linked with the functional properties of these two visually selective networks in a cohort of 60 children ages 9 to 12. Functionally localized face and scene selective regions were used in deriving each visual network's resting-state functional connectivity. The children's face and scene processing networks appeared to show a weak network segregation during resting state, which was confirmed when compared to that of a group of gender and handedness matched adults. Parietal regions of these children showed differential connectivity with the face and scene networks, and the extent of this differential parietal-visual connectivity predicted individual differences in the degree of segregation between the two visual networks, which in turn predicted individual differences in visual perception performance. Finally, the pattern of parietal connectivity with the face processing network also predicted the foci of face-related activation in the right fusiform gyrus across children. These findings provide evidence that extrinsic connectivity with regions such as the posterior parietal cortex may have important implications in the development of specialized visual processing networks.
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Affiliation(s)
| | - Anna S Huang
- Department of Psychology, Stony Brook University, USA
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15
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Abstract
During the course of evolution the human brain has increased in size and complexity, ultimately these differences are the result of changes at the genetic level. Identifying and characterizing molecular evolution requires an understanding of both the genetic underpinning of the system as well as the comparative genetic tools to identify signatures of selection. This chapter aims to describe our current understanding of the genetics of human brain evolution. Primarily this is the story of the evolution of the human brain since our last common ape ancestor, but where relevant we will also discuss changes that are unique to the primate brain (compared to other mammals) or various other lineages in the evolution of humans more generally. It will focus on genetic changes that both directly affected the development and function of the brain as well as those that have indirectly influenced brain evolution through both prenatal and postnatal environment. This review is not meant to be exhaustive, but rather to begin to construct a general framework for understanding the full array of data being generated.
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Affiliation(s)
- Eric J Vallender
- University of Mississippi Medical Center, Jackson, MS, United States; Tulane National Primate Research Center, Covington, LA, United States.
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16
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Dekker TM, Schwarzkopf DS, de Haas B, Nardini M, Sereno MI. Population receptive field tuning properties of visual cortex during childhood. Dev Cogn Neurosci 2019; 37:100614. [PMID: 30777677 PMCID: PMC6969313 DOI: 10.1016/j.dcn.2019.01.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 11/19/2018] [Accepted: 01/04/2019] [Indexed: 11/07/2022] Open
Abstract
Visuospatial abilities such as contrast sensitivity and Vernier acuity improve until late in childhood, but the neural mechanisms supporting these changes are poorly understood. We tested to which extent this development might reflect improved spatial sensitivity of neuronal populations in visual cortex. To do this, we measured BOLD-responses in areas V1-V4 and V3a, whilst 6- to 12-year-old children and adults watched large-field wedge and ring stimuli in the MRI scanner, and then fitted population receptive field (pRF) tuning functions to these data (Dumoulin and Wandell, 2008). Cortical magnification and pRF tuning width changed with eccentricity at all ages, as expected. However, there were no significant age differences in pRF size, shape, cortical magnification, or map consistency in any visual region. These findings thus strongly suggest that spatial vision in late childhood is not substantially limited by the spatial tuning of neuronal populations in early visual cortex. Instead, improvements in performance may reflect more efficient read-out of spatial information in early visual regions by higher-level processing stages, or prolonged tuning to more complex visual properties such as orientation. Importantly, this in-depth characterisation of the pRF tuning profiles across childhood, paves the way for in-vivo-testing of atypical visual cortex development and plasticity.
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Affiliation(s)
- T M Dekker
- Institute of Ophthalmology, University College London, UK; Experimental Psychology, University College London, UK.
| | - D S Schwarzkopf
- Experimental Psychology, University College London, UK; School of Optometry & Vision Science, University of Auckland, New Zealand
| | - B de Haas
- Department of Psychology, Justus-Liebig-Universitat, Giessen, Germany
| | - M Nardini
- Department of Psychology, Durham University, UK
| | - M I Sereno
- Dept. of Psychology, San Diego State University, USA
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17
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Tamnes CK, Overbye K, Ferschmann L, Fjell AM, Walhovd KB, Blakemore SJ, Dumontheil I. Social perspective taking is associated with self-reported prosocial behavior and regional cortical thickness across adolescence. Dev Psychol 2018; 54:1745-1757. [PMID: 30058815 PMCID: PMC6110335 DOI: 10.1037/dev0000541] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Basic perspective taking and mentalizing abilities develop in childhood, but recent studies indicate that the use of social perspective taking to guide decisions and actions has a prolonged development that continues throughout adolescence. Here, we aimed to replicate this research and investigate the hypotheses that individual differences in social perspective taking in adolescence are associated with real-life prosocial and antisocial behavior and differences in brain structure. We used an experimental approach and a large cross-sectional sample (n = 293) of participants aged 7–26 years old to assess age-related improvement in social perspective taking usage during performance of a version of the director task. In subsamples, we then tested how individual differences in social perspective taking were related to self-reported prosocial behavior and peer relationship problems on the Strengths and Difficulties Questionnaire (n = 184) and to MRI measures of regional cortical thickness and surface area (n = 226). The pattern of results in the director task replicated previous findings by demonstrating continued improvement in use of social perspective taking across adolescence. The study also showed that better social perspective taking usage is associated with more self-reported prosocial behavior, as well as to thinner cerebral cortex in regions in the left hemisphere encompassing parts of the caudal middle frontal and precentral gyri and lateral parietal regions. These associations were observed independently of age and might partly reflect individual developmental variability. The relevance of cortical development was additionally supported by indirect effects of age on social perspective taking usage via cortical thickness.
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Affiliation(s)
| | - Knut Overbye
- Center for Lifespan Changes in Brain and Cognition
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18
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Walhovd KB, Fjell AM, Giedd J, Dale AM, Brown TT. Through Thick and Thin: a Need to Reconcile Contradictory Results on Trajectories in Human Cortical Development. Cereb Cortex 2018; 27:1472-1481. [PMID: 28365755 DOI: 10.1093/cercor/bhv301] [Citation(s) in RCA: 117] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Understanding how brain development normally proceeds is a premise of understanding neurodevelopmental disorders. This has sparked a wealth of magnetic resonance imaging (MRI) studies. Unfortunately, they are in marked disagreement on how the cerebral cortex matures. While cortical thickness increases for the first 8-9 years of life have repeatedly been reported, others find continuous cortical thinning from early childhood, at least from age 3 or 4 years. We review these inconsistencies, and discuss possible reasons, including the use of different scanners, recording parameters and analysis tools, and possible effects of variables such as head motion. When tested on the same subsample, 2 popular thickness estimation methods (CIVET and FreeSurfer) both yielded a continuous thickness decrease from 3 years. Importantly, MRI-derived measures of cortical development are merely our best current approximations, hence the term "apparent cortical thickness" may be preferable. We recommend strategies for reaching consensus in the field, including multimodal neuroimaging to measure phenomena using different techniques, for example, the use of T1/T2 ratio, and data sharing to allow replication across analysis methods. As neurodevelopmental origins of early- and late-onset disease are increasingly recognized, resolving inconsistencies in brain maturation trajectories is important.
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Affiliation(s)
- Kristine B Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Anders M Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Anders M Dale
- Department of Radiology.,Department of Neurosciences
| | - Timothy T Brown
- Department of Neurosciences.,Department of Pediatrics, University of California, San Diego, School of Medicine, La Jolla, CA, USA
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19
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Goldstone A, Willoughby AR, de Zambotti M, Franzen PL, Kwon D, Pohl KM, Pfefferbaum A, Sullivan EV, Müller-Oehring EM, Prouty DE, Hasler BP, Clark DB, Colrain IM, Baker FC. The mediating role of cortical thickness and gray matter volume on sleep slow-wave activity during adolescence. Brain Struct Funct 2017; 223:669-685. [PMID: 28913599 DOI: 10.1007/s00429-017-1509-9] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 09/01/2017] [Indexed: 12/01/2022]
Abstract
During the course of adolescence, reductions occur in cortical thickness and gray matter (GM) volume, along with a 65% reduction in slow-wave (delta) activity during sleep (SWA) but empirical data linking these structural brain and functional sleep differences, is lacking. Here, we investigated specifically whether age-related differences in cortical thickness and GM volume and cortical thickness accounted for the typical age-related difference in slow-wave (delta) activity (SWA) during sleep. 132 healthy participants (age 12-21 years) from the National Consortium on Alcohol and NeuroDevelopment in Adolescence study were included in this cross-sectional analysis of baseline polysomnographic, electroencephalographic, and magnetic resonance imaging data. By applying mediation models, we identified a large, direct effect of age on SWA in adolescents, which explained 45% of the variance in ultra-SWA (0.3-1 Hz) and 52% of the variance in delta-SWA (1 to <4 Hz), where SWA was lower in older adolescents, as has been reported previously. In addition, we provide evidence that the structure of several, predominantly frontal, and parietal brain regions, partially mediated this direct age effect, models including measures of brain structure explained an additional 3-9% of the variance in ultra-SWA and 4-5% of the variance in delta-SWA, with no differences between sexes. Replacing age with pubertal status in models produced similar results. As reductions in GM volume and cortical thickness likely indicate synaptic pruning and myelination, these results suggest that diminished SWA in older, more mature adolescents may largely be driven by such processes within a number of frontal and parietal brain regions.
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Affiliation(s)
- Aimée Goldstone
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Adrian R Willoughby
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Massimiliano de Zambotti
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Peter L Franzen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dongjin Kwon
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Kilian M Pohl
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Adolf Pfefferbaum
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Eva M Müller-Oehring
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Devin E Prouty
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Brant P Hasler
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Duncan B Clark
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ian M Colrain
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Fiona C Baker
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA. .,Brain Function Research Group, School of Physiology, University of Witwatersrand, Johannesburg, South Africa.
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20
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Chomiak T, Hu B. Mechanisms of Hierarchical Cortical Maturation. Front Cell Neurosci 2017; 11:272. [PMID: 28959187 PMCID: PMC5604079 DOI: 10.3389/fncel.2017.00272] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 08/22/2017] [Indexed: 11/21/2022] Open
Abstract
Cortical information processing is structurally and functionally organized into hierarchical pathways, with primary sensory cortical regions providing modality specific information and associative cortical regions playing a more integrative role. Historically, there has been debate as to whether primary cortical regions mature earlier than associative cortical regions, or whether both primary and associative cortical regions mature simultaneously. Identifying whether primary and associative cortical regions mature hierarchically or simultaneously will not only deepen our understanding of the mechanisms that regulate brain maturation, but it will also provide fundamental insight into aspects of adolescent behavior, learning, neurodevelopmental disorders and computational models of neural processing. This mini-review article summarizes the current evidence supporting the sequential and hierarchical nature of cortical maturation, and then proposes a new cellular model underlying this process. Finally, unresolved issues associated with hierarchical cortical maturation are also addressed.
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Affiliation(s)
- Taylor Chomiak
- Division of Translational Neuroscience, Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of CalgaryCalgary, AB, Canada
| | - Bin Hu
- Division of Translational Neuroscience, Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of CalgaryCalgary, AB, Canada
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21
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Curley LB, Newman E, Thompson WK, Brown TT, Hagler DJ, Akshoomoff N, Reuter C, Dale AM, Jernigan TL. Cortical morphology of the pars opercularis and its relationship to motor-inhibitory performance in a longitudinal, developing cohort. Brain Struct Funct 2017; 223:211-220. [PMID: 28756486 PMCID: PMC5772141 DOI: 10.1007/s00429-017-1480-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 07/18/2017] [Indexed: 10/29/2022]
Abstract
This study investigates the relationship between variability in cortical surface area and thickness of the pars opercularis of the inferior frontal gyrus and motor-inhibitory performance on a stop-signal task in a longitudinal, typically developing cohort of children and adolescents. Linear mixed-effects models were used to investigate the hypotheses that (1) cortical thinning and (2) a relatively larger cortical surface area of the bilateral pars opercularis of the inferior frontal gyrus would predict better performance on the stop-signal task in a cohort of 110 children and adolescents 4-13 years of age, with one to four observations (totaling 232 observations). Cortical thickness of the bilateral opercular region was not related to inhibitory performance. However, independent of age, gender, and total cortical surface area, relatively larger cortical surface area of the bilateral opercular region of the inferior frontal gyrus was associated with better motor-inhibitory performance. Follow-up analyses showed a significant effect of surface area of the right pars opercularis, but no evidence for an effect of area of left pars opercularis, on motor-inhibitory performance. These findings are consistent with the previous work in adults showing that cortical morphology of the pars opercularis is related to inhibitory functioning. It also expands upon this literature by showing that, in contrast to earlier work highlighting the importance of cortical thickness of this region in adults, relative cortical surface area of the pars opercularis may be related to developing motor-inhibitory functions during childhood and adolescence. Relationships between cortical phenotypes and individual differences in behavioral measures may vary across the lifespan.
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Affiliation(s)
- Lauren B Curley
- Department of Cognitive Science, University of California, San Diego, La Jolla, USA
| | - Erik Newman
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA
| | - Wesley K Thompson
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA.,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA
| | - Timothy T Brown
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA.,Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, La Jolla, USA.,Department of Neurosciences, University of California, San Diego School of Medicine, La Jolla, USA
| | - Donald J Hagler
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, La Jolla, USA.,Department of Radiology, University of California, San Diego School of Medicine, La Jolla, USA
| | - Natacha Akshoomoff
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA.,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA
| | - Chase Reuter
- Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA
| | - Anders M Dale
- Department of Cognitive Science, University of California, San Diego, La Jolla, USA.,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA.,Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, La Jolla, USA.,Department of Neurosciences, University of California, San Diego School of Medicine, La Jolla, USA.,Department of Radiology, University of California, San Diego School of Medicine, La Jolla, USA
| | - Terry L Jernigan
- Department of Cognitive Science, University of California, San Diego, La Jolla, USA. .,Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0115, USA. .,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, USA. .,Department of Radiology, University of California, San Diego School of Medicine, La Jolla, USA.
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22
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Schmaal L, Yücel M, Ellis R, Vijayakumar N, Simmons JG, Allen NB, Whittle S. Brain Structural Signatures of Adolescent Depressive Symptom Trajectories: A Longitudinal Magnetic Resonance Imaging Study. J Am Acad Child Adolesc Psychiatry 2017. [PMID: 28647011 DOI: 10.1016/j.jaac.2017.05.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE Most evidence for structural brain abnormalities associated with adolescent depression is based on cross-sectional study designs that do not take into account the dynamic course of depressive symptoms and brain maturation across adolescence. In this study, a longitudinal design was used to investigate the association between different trajectories of depressive symptoms and longitudinal changes in brain structure throughout adolescence. METHOD One hundred forty-nine adolescents were assessed on depressive symptoms and underwent structural magnetic resonance imaging at 12 years of age and were followed up multiple times until 19 years. Three depressive symptom trajectories (low-stable [n = 97], early-decreasing [n = 33], late-increasing [n = 19]) were identified, and effects of group and group by time on hippocampus and amygdala volume and prefrontal cortical thickness and surface area were evaluated. RESULTS The early-decreasing symptoms group exhibited differences in cortical surface area compared to the low-stable and late-increasing symptoms groups, moderated by sex. Specifically, females in the early-decreasing symptoms group showed lower anterior cingulate and orbitofrontal cortex surface areas across adolescence compared to females in the other groups. Males in the early-decreasing symptoms group showed lower right orbitofrontal cortex surface area expansion over time compared to males in the low-stable and late-increasing symptoms groups. No effects were found for cortical thickness or for hippocampus and amygdala volume. CONCLUSION Alterations in cortical surface area were specifically observed in young people experiencing depressive symptoms in early adolescence. These findings suggest that early adolescence is a particularly sensitive period for cortical surface area abnormalities associated with depressive symptoms and could provide a critical window for treatment of (subthreshold) depressive symptoms.
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Affiliation(s)
- Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia; the Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia; and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.
| | - Murat Yücel
- Brain and Mental Health Laboratory, School of Psychological Sciences and the Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne; the Melbourne Neuropsychiatry Centre, The University of Melbourne; and Melbourne Health
| | - Rachel Ellis
- Melbourne School of Psychological Sciences, The University of Melbourne
| | | | - Julian G Simmons
- Melbourne School of Psychological Sciences, The University of Melbourne; Melbourne Neuropsychiatry Centre, The University of Melbourne, and Melbourne Health
| | - Nicholas B Allen
- Melbourne School of Psychological Sciences, The University of Melbourne
| | - Sarah Whittle
- Melbourne School of Psychological Sciences, The University of Melbourne; Melbourne Neuropsychiatry Centre, The University of Melbourne, and Melbourne Health
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23
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Schmaal L, Hibar DP, Sämann PG, Hall GB, Baune BT, Jahanshad N, Cheung JW, van Erp TGM, Bos D, Ikram MA, Vernooij MW, Niessen WJ, Tiemeier H, Hofman A, Wittfeld K, Grabe HJ, Janowitz D, Bülow R, Selonke M, Völzke H, Grotegerd D, Dannlowski U, Arolt V, Opel N, Heindel W, Kugel H, Hoehn D, Czisch M, Couvy-Duchesne B, Rentería ME, Strike LT, Wright MJ, Mills NT, de Zubicaray GI, McMahon KL, Medland SE, Martin NG, Gillespie NA, Goya-Maldonado R, Gruber O, Krämer B, Hatton SN, Lagopoulos J, Hickie IB, Frodl T, Carballedo A, Frey EM, van Velzen LS, Penninx BWJH, van Tol MJ, van der Wee NJ, Davey CG, Harrison BJ, Mwangi B, Cao B, Soares JC, Veer IM, Walter H, Schoepf D, Zurowski B, Konrad C, Schramm E, Normann C, Schnell K, Sacchet MD, Gotlib IH, MacQueen GM, Godlewska BR, Nickson T, McIntosh AM, Papmeyer M, Whalley HC, Hall J, Sussmann JE, Li M, Walter M, Aftanas L, Brack I, Bokhan NA, Thompson PM, Veltman DJ. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry 2017; 22:900-909. [PMID: 27137745 PMCID: PMC5444023 DOI: 10.1038/mp.2016.60] [Citation(s) in RCA: 713] [Impact Index Per Article: 101.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 02/25/2016] [Accepted: 03/17/2016] [Indexed: 12/20/2022]
Abstract
The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
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Affiliation(s)
- L Schmaal
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - D P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - P G Sämann
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - G B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - B T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - N Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - J W Cheung
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - D Bos
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M W Vernooij
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - W J Niessen
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - K Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - H J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - D Janowitz
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - R Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - M Selonke
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), partner site Griefswald, Greifswald, Germany
- German Center for Diabetes Research (DZD), partner site Griefswald, Greifswald, Germany
| | - D Grotegerd
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - U Dannlowski
- Department of Psychiatry, University of Muenster, Muenster, Germany
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - V Arolt
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - N Opel
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - W Heindel
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - H Kugel
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - D Hoehn
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - M Czisch
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - B Couvy-Duchesne
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - M E Rentería
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - L T Strike
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - N T Mills
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - G I de Zubicaray
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - K L McMahon
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - S E Medland
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - R Goya-Maldonado
- Centre for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August-University, Göttingen, Germany
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - S N Hatton
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - J Lagopoulos
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - T Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany
- Department of Psychiatry and Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - A Carballedo
- Department of Psychiatry and Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - E M Frey
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - L S van Velzen
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - B W J H Penninx
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - M-J van Tol
- Neuroimaging Center, Section of Cognitive Neuropsychiatry, Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - N J van der Wee
- Department of Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, The Netherlands
| | - C G Davey
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - B J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - B Mwangi
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - B Cao
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - J C Soares
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - I M Veer
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - D Schoepf
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - B Zurowski
- Center for Integrative Psychiatry, University of Lübeck, Lübeck, Germany
| | - C Konrad
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum Rotenburg, Rotenburg, Germany
| | - E Schramm
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - C Normann
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - K Schnell
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - M D Sacchet
- Neurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA
| | - I H Gotlib
- Neurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA
| | - G M MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - B R Godlewska
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cogntive Ageing and Cogntive Epidemiology, University of Edinburgh, Edinburg, UK
| | - M Papmeyer
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Division of Systems Neuroscience of Psychopathology, Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - J Hall
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Department of Psychiatry, NHS Borders, Melrose, UK
| | - M Li
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - M Walter
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry, University Tübingen, Tübingen, Germany
| | - L Aftanas
- Department of Experimental and Clinical Neuroscience, Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - I Brack
- Department of Experimental and Clinical Neuroscience, Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - N A Bokhan
- Mental Health Research Institute, Tomsk, Russia
- Faculty of Psychology, National Research Tomsk State University, Tomsk, Russia
- Department of General Medicine, Siberian State Medical University, Tomsk, Russia
| | - P M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - D J Veltman
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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24
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Forde NJ, Ronan L, Zwiers MP, Schweren LJS, Alexander-Bloch AF, Franke B, Faraone SV, Oosterlaan J, Heslenfeld DJ, Hartman CA, Buitelaar JK, Hoekstra PJ. Healthy cortical development through adolescence and early adulthood. Brain Struct Funct 2017; 222:3653-3663. [PMID: 28417232 PMCID: PMC5676813 DOI: 10.1007/s00429-017-1424-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 04/04/2017] [Indexed: 11/30/2022]
Abstract
Adolescence is a period of significant brain changes; however, the effects of age and sex on cortical development are yet to be fully characterized. Here, we utilized innovative intrinsic curvature (IC) analysis, along with the traditional cortical measures [cortical thickness (CT), local gyrification index (LGI), and surface area (SA)], to investigate how these indices (1) relate to each other and (2) depend on age and sex in adolescent cortical development. T1-weighted magnetic resonance images from 218 healthy volunteers (age range 8.3–29.2 years, M[SD] = 16.5[3.4]) were collected at two sites and processed with FreeSurfer and Caret software packages. Surface indices were extracted per cortex area (frontal, parietal, occipital, temporal, insula, and cingulate). Correlation analyses between the surface indices were conducted and age curves were modelled using generalized additive mixed-effect models. IC showed region-specific associations with LGI, SA, and CT, as did CT with LGI. SA was positively associated with LGI in all regions and CT in none. CT and LGI, but not SA, were inversely associated with age in all regions. IC was inversely associated with age in all but the occipital region. For all regions, males had larger cortical SA than females. Males also had larger LGI in all regions and larger IC of the frontal area; however, these effects were accounted for by sex differences in SA. There were no age-by-sex interactions. The study of IC adds a semi-independent, sensitive measure of cortical morphology that relates to the underlying cytoarchitecture and may aid understanding of normal brain development and deviations from it.
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Affiliation(s)
- Natalie J Forde
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. .,Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
| | - Lisa Ronan
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Marcel P Zwiers
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Lizanne J S Schweren
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Developmental Psychiatry, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | | | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.,Department of Biomedicine, K.G. Jebsen Centre for Research On Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Jaap Oosterlaan
- Clinical Neuropsychology Section, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Dirk J Heslenfeld
- Clinical Neuropsychology Section, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Pieter J Hoekstra
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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25
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Brito NH, Piccolo LR, Noble KG. Associations between cortical thickness and neurocognitive skills during childhood vary by family socioeconomic factors. Brain Cogn 2017; 116:54-62. [PMID: 28377043 DOI: 10.1016/j.bandc.2017.03.007] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Revised: 03/14/2017] [Accepted: 03/14/2017] [Indexed: 12/30/2022]
Abstract
Studies have reported associations between cortical thickness (CT) and socioeconomic status (SES), as well as between CT and cognitive outcomes. However, findings have been mixed as to whether CT explains links between SES and cognitive performance. In the current study, we hypothesized that this inconsistency may have arisen from the fact that socioeconomic factors (family income and parental education) may moderate the relation between CT and neurocognitive skills. Results indicated that associations between CT and cognitive performance did vary by SES for both language and executive function (EF) abilities. Across all ages, there was a negative correlation between CT and cognitive skills, with thinner cortices associated with higher language and EF scores. Similarly, across all cognitive skills, children from higher-SES homes outperformed their age-matched peers from lower-SES homes. Moderation analyses indicated that the impact of SES was not constant across CT, with SES more strongly predictive of EF skills among children with thicker cortices and more strongly predictive of language skills among children with thinner cortices. This suggests that socioeconomic advantage may in some cases buffer against a neurobiological risk factor for poor performance. These findings suggest that links between brain structure and cognitive processes vary by family socioeconomic circumstance.
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Affiliation(s)
- Natalie H Brito
- Department of Developmental Neuroscience, Columbia University Medical Center, New York, NY 10032, United States
| | - Luciane R Piccolo
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY 10027, United States
| | - Kimberly G Noble
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY 10027, United States.
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26
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Brown TT. Individual differences in human brain development. WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2017; 8:e1389. [PMID: 27906499 PMCID: PMC5682852 DOI: 10.1002/wcs.1389] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 02/26/2016] [Accepted: 03/27/2016] [Indexed: 01/31/2023]
Abstract
This article discusses recent scientific advances in the study of individual differences in human brain development. Focusing on structural neuroimaging measures of brain morphology and tissue properties, two kinds of variability are related and explored: differences across individuals of the same age and differences across age as a result of development. A recent multidimensional modeling study is explained, which was able to use brain measures to predict an individual's chronological age within about one year on average, in children, adolescents, and young adults between 3 and 20 years old. These findings reveal great regularity in the sequence of the aggregate brain state across different ages and phases of development, despite the pronounced individual differences people show on any single brain measure at any given age. Future research is suggested, incorporating additional measures of brain activity and function. WIREs Cogn Sci 2017, 8:e1389. doi: 10.1002/wcs.1389 For further resources related to this article, please visit the WIREs website.
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27
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Bigler ED, Zielinski BA, Goodrich-Hunsaker N, Black GM, Huff BST, Christiansen Z, Wood DM, Abildskov TJ, Dennis M, Taylor HG, Rubin K, Vannatta K, Gerhardt CA, Stancin T, Yeates KO. The Relation of Focal Lesions to Cortical Thickness in Pediatric Traumatic Brain Injury. J Child Neurol 2016; 31:1302-11. [PMID: 27342577 PMCID: PMC5525324 DOI: 10.1177/0883073816654143] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 05/09/2016] [Indexed: 12/22/2022]
Abstract
In a sample of children with traumatic brain injury, this magnetic resonance imaging (MRI)-based investigation examined whether presence of a focal lesion uniquely influenced cortical thickness in any brain region. Specifically, the study explored the relation of cortical thickness to injury severity as measured by Glasgow Coma Scale score and length of stay, along with presence of encephalomalacia, focal white matter lesions or presence of hemosiderin deposition as a marker of shear injury. For comparison, a group of children without head injury but with orthopedic injury of similar age and sex were also examined. Both traumatic brain injury and orthopedic injury children had normally reduced cortical thickness with age, assumed to reflect neuronal pruning. However, the reductions observed within the traumatic brain injury sample were similar to those in the orthopedic injury group, suggesting that in this sample traumatic brain injury, per se, did not uniquely alter cortical thickness in any brain region at the group level. Injury severity in terms of Glasgow Coma Scale or longer length of stay was associated with greater reductions in frontal and occipitoparietal cortical thickness. However, presence of focal lesions were not related to unique changes in cortical thickness despite having a prominent distribution of lesions within frontotemporal regions among children with traumatic brain injury. Because focal lesions were highly heterogeneous, their association with cortical thickness and development appeared to be idiosyncratic, and not associated with group level effects.
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Affiliation(s)
- Erin D Bigler
- Department of Psychology and the Neuroscience Center, Brigham Young University, Provo, UT, USA Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Brandon A Zielinski
- Departments of Pediatrics and Neurology, University of Utah, Salt Lake City, UT, USA
| | | | - Garrett M Black
- Department of Psychology, Brigham Young University, Provo, UT, USA
| | - B S Trevor Huff
- Department of Psychology, Brigham Young University, Provo, UT, USA
| | | | - Dawn-Marie Wood
- Department of Psychology, Brigham Young University, Provo, UT, USA
| | | | - Maureen Dennis
- Program in Neuroscience & Mental Health, The Hospital for Sick Children, Toronto, Canada Department of Surgery and Department of Psychology, University of Toronto, Toronto, Canada
| | - H Gerry Taylor
- Department of Pediatrics, Case Western Reserve University and Rainbow Babies & Children's Hospital, University Hospitals Case Medical Center, Cleveland, OH, USA
| | - Kenneth Rubin
- Department of Psychology, University of Maryland, College Park, MD, USA
| | - Kathryn Vannatta
- Department of Pediatrics, The Ohio State University, Columbus, OH, USA Center for Behavioral Health, Columbus Children's Research Institute, Columbus, OH, USA
| | - Cynthia A Gerhardt
- Department of Pediatrics, The Ohio State University, Columbus, OH, USA Center for Behavioral Health, Columbus Children's Research Institute, Columbus, OH, USA
| | - Terry Stancin
- Department of Pediatrics, Case Western Reserve University and Rainbow Babies & Children's Hospital, University Hospitals Case Medical Center, Cleveland, OH, USA Department of Psychiatry, MetroHealth Medical Center, Cleveland, OH, USA
| | - Keith Owen Yeates
- Department of Pediatrics, The Ohio State University, Columbus, OH, USA Center for Biobehavioral Health, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
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28
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Braddick O, Atkinson J, Newman E, Akshoomoff N, Kuperman JM, Bartsch H, Chen CH, Dale AM, Jernigan TL. Global Visual Motion Sensitivity: Associations with Parietal Area and Children's Mathematical Cognition. J Cogn Neurosci 2016; 28:1897-1908. [PMID: 27458748 DOI: 10.1162/jocn_a_01018] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Sensitivity to global visual motion has been proposed as a signature of brain development, related to the dorsal rather than ventral cortical stream. Thresholds for global motion have been found to be elevated more than for global static form in many developmental disorders, leading to the idea of "dorsal stream vulnerability." Here we explore the association of global motion thresholds with individual differences in children's brain development, in a group of typically developing 5- to 12-year-olds. Good performance was associated with a relative increase in parietal lobe surface area, most strongly around the intraparietal sulcus and decrease in occipital area. In line with the involvement of intraparietal sulcus, areas in visuospatial and numerical cognition, we also found that global motion performance was correlated with tests of visuomotor integration and numerical skills. Individual differences in global form detection showed none of these anatomical or cognitive correlations. This suggests that the correlations with motion sensitivity are unlikely to reflect general perceptual or attentional abilities required for both form and motion. We conclude that individual developmental variations in global motion processing are not linked to greater area in the extrastriate visual areas, which initially process such motion, but in the parietal systems that make decisions based on this information. The overlap with visuospatial and numerical abilities may indicate the anatomical substrate of the "dorsal stream vulnerability" proposed as characterizing neurodevelopmental disorders.
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