1
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Fjell AM. Aging Brain from a Lifespan Perspective. Curr Top Behav Neurosci 2024. [PMID: 38797799 DOI: 10.1007/7854_2024_476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Research during the last two decades has shown that the brain undergoes continuous changes throughout life, with substantial heterogeneity in age trajectories between regions. Especially, temporal and prefrontal cortices show large changes, and these correlate modestly with changes in the corresponding cognitive abilities such as episodic memory and executive function. Changes seen in normal aging overlap with changes seen in neurodegenerative conditions such as Alzheimer's disease; differences between what reflects normal aging vs. a disease-related change are often blurry. This calls for a dimensional view on cognitive decline in aging, where clear-cut distinctions between normality and pathology cannot be always drawn. Although much progress has been made in describing typical patterns of age-related changes in the brain, identifying risk and protective factors, and mapping cognitive correlates, there are still limits to our knowledge that should be addressed by future research. We need more longitudinal studies following the same participants over longer time intervals with cognitive testing and brain imaging, and an increased focus on the representativeness vs. selection bias in neuroimaging research of aging.
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Affiliation(s)
- Anders Martin Fjell
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway.
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2
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Lewis JD, Imani V, Tohka J. Intelligence and cortical morphometry: caveats in brain-behavior associations. Brain Struct Funct 2024:10.1007/s00429-024-02792-6. [PMID: 38795129 DOI: 10.1007/s00429-024-02792-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 03/19/2024] [Indexed: 05/27/2024]
Abstract
It is well-established that brain size is associated with intelligence. But the relationship between cortical morphometric measures and intelligence is unclear. Studies have produced conflicting results or no significant relations between intelligence and cortical morphometric measures such as cortical thickness and peri-cortical contrast. This discrepancy may be due to multicollinearity amongst the independent variables in a multivariate regression analysis, or a failure to fully account for the relationship between brain size and intelligence in some other way. Our study shows that neither cortical thickness nor peri-cortical contrast reliably improves IQ prediction accuracy beyond what is achieved with brain volume alone. We show this in multiple datasets, with child data, developmental data, and with adult data; we show this with data acquired either at multiple sites, or at a single site; we show this with data acquired with different MRI scanner manufacturers, or with all data acquired on a single scanner; and we show this with fluid intelligence, full-scale IQ, performance IQ, and verbal IQ. But our point is not really even about IQ; rather we proffer a methodological caveat and potential explanation of the discrepancies in previous results, and which applies broadly.
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Affiliation(s)
- John D Lewis
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, 555 University Avenue, Toronto, ON, M5G1X8, Canada
| | - Vandad Imani
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70210, Kuopio, Finland
| | - Jussi Tohka
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70210, Kuopio, Finland.
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3
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Wu M, Wang Y, Zhao X, Xin T, Wu K, Liu H, Wu S, Liu M, Chai X, Li J, Wei C, Zhu C, Liu Y, Zhang YX. Anti-phasic oscillatory development for speech and noise processing in cochlear implanted toddlers. Child Dev 2024. [PMID: 38742715 DOI: 10.1111/cdev.14105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Human brain demonstrates amazing readiness for speech and language learning at birth, but the auditory development preceding such readiness remains unknown. Cochlear implanted (CI) children (n = 67; mean age 2.77 year ± 1.31 SD; 28 females) with prelingual deafness provide a unique opportunity to study this stage. Using functional near-infrared spectroscopy, it was revealed that the brain of CI children was irresponsive to sounds at CI hearing onset. With increasing CI experiences up to 32 months, the brain demonstrated function, region and hemisphere specific development. Most strikingly, the left anterior temporal lobe showed an oscillatory trajectory, changing in opposite phases for speech and noise. The study provides the first longitudinal brain imaging evidence for early auditory development preceding speech acquisition.
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Affiliation(s)
- Meiyun Wu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yuyang Wang
- Department of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
- Department of Otolaryngology Head and Neck Surgery, Hunan Provincial People's Hospital (First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Xue Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Tianyu Xin
- Department of Otolaryngology Head and Neck Surgery, Peking University First Hospital, Beijing, China
| | - Kun Wu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Haotian Liu
- Department of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
- Department of Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, China
| | - Shinan Wu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Min Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiaoke Chai
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jinhong Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Chaogang Wei
- Department of Otolaryngology Head and Neck Surgery, Peking University First Hospital, Beijing, China
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yuhe Liu
- Department of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yu-Xuan Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
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4
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Adams RA, Zor C, Mihalik A, Tsirlis K, Brudfors M, Chapman J, Ashburner J, Paulus MP, Mourão-Miranda J. Voxel-wise multivariate analysis of brain-psychosocial associations in adolescents reveals six latent dimensions of cognition and psychopathology. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00085-5. [PMID: 38588854 DOI: 10.1016/j.bpsc.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 03/15/2024] [Accepted: 03/28/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Adolescence heralds the onset of much psychopathology, which may be conceptualized as an emergence of altered covariation between symptoms and brain measures. Multivariate methods can detect such modes of covariation or latent dimensions, but none specifically relating to psychopathology have yet been found using population-level structural brain data. Using voxel-wise (instead of parcellated) brain data may strengthen latent dimensions' brain-psychosocial relationships, but this creates computational challenges. METHODS We obtained voxel-wise grey matter density and psychosocial variables from the baseline (aged 9-10 years) Adolescent Brain and Cognitive Development cohort (n=11288), and employed a state-of-the-art segmentation method, sparse partial least squares, and a rigorous machine learning framework to prevent overfitting. RESULTS We found six latent dimensions, four pertaining specifically to mental health. The mental health dimensions related to overeating, anorexia/internalizing, oppositional symptoms (all p<0.002) and ADHD symptoms (p=0.03). ADHD related to increased and internalizing related to decreased grey matter density in dopaminergic and serotonergic midbrain areas, whereas oppositional symptoms related to increased grey matter in a noradrenergic nucleus. Internalizing related to increased and oppositional symptoms to reduced grey matter density in insula, cingulate and auditory cortices. Striatal regions featured strongly, with reduced caudate nucleus grey matter in ADHD, and reduced putamen grey matter in oppositional/conduct problems. Voxel-wise grey matter density generated stronger brain-psychosocial correlations than brain parcellations. CONCLUSIONS Voxel-wise brain data strengthen latent dimensions of brain-psychosocial covariation and sparse multivariate methods increase their psychopathological specificity. Internalizing and externalizing are associated with opposite grey matter changes in similar cortical and subcortical areas.
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Affiliation(s)
- Rick A Adams
- Centre for Medical Image Computing, Department of Computer Science, University College London, WC1V 6LJ, UK; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, WC1B 5EH, UK.
| | - Cemre Zor
- Centre for Medical Image Computing, Department of Computer Science, University College London, WC1V 6LJ, UK
| | - Agoston Mihalik
- Centre for Medical Image Computing, Department of Computer Science, University College London, WC1V 6LJ, UK; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, WC1B 5EH, UK; Department of Psychiatry, University of Cambridge, CB2 0SZ, UK
| | - Konstantinos Tsirlis
- Centre for Medical Image Computing, Department of Computer Science, University College London, WC1V 6LJ, UK; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, WC1B 5EH, UK
| | - Mikael Brudfors
- Wellcome Centre for Human Neuroimaging, University College London, WC1N 3BG, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, SE1 7EH, UK
| | - James Chapman
- Centre for Medical Image Computing, Department of Computer Science, University College London, WC1V 6LJ, UK; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, WC1B 5EH, UK
| | - John Ashburner
- Wellcome Centre for Human Neuroimaging, University College London, WC1N 3BG, UK
| | | | - Janaina Mourão-Miranda
- Centre for Medical Image Computing, Department of Computer Science, University College London, WC1V 6LJ, UK; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, WC1B 5EH, UK
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Jiang A, Ma X, Li S, Wang L, Yang B, Wang S, Li M, Dong G. Age-atypical brain functional networks in autism spectrum disorder: a normative modeling approach. Psychol Med 2024:1-12. [PMID: 38563297 DOI: 10.1017/s0033291724000138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
BACKGROUND Despite extensive research into the neural basis of autism spectrum disorder (ASD), the presence of substantial biological and clinical heterogeneity among diagnosed individuals remains a major barrier. Commonly used case‒control designs assume homogeneity among subjects, which limits their ability to identify biological heterogeneity, while normative modeling pinpoints deviations from typical functional network development at individual level. METHODS Using a world-wide multi-site database known as Autism Brain Imaging Data Exchange, we analyzed individuals with ASD and typically developed (TD) controls (total n = 1218) aged 5-40 years, generating individualized whole-brain network functional connectivity (FC) maps of age-related atypicality in ASD. We then used local polynomial regression to estimate a networkwise normative model of development and explored correlations between ASD symptoms and brain networks. RESULTS We identified a subset exhibiting highly atypical individual-level FC, exceeding 2 standard deviation from the normative value. We also identified clinically relevant networks (mainly default mode network) at cohort level, since the outlier rates decreased with age in TD participants, but increased in those with autism. Moreover, deviations were linked to severity of repetitive behaviors and social communication symptoms. CONCLUSIONS Individuals with ASD exhibit distinct, highly individualized trajectories of brain functional network development. In addition, distinct developmental trajectories were observed among ASD and TD individuals, suggesting that it may be challenging to identify true differences in network characteristics by comparing young children with ASD to their TD peers. This study enhances understanding of the biological heterogeneity of the disorder and can inform precision medicine.
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Affiliation(s)
- Anhang Jiang
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, P.R. China
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Xuefeng Ma
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Shuang Li
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Lingxiao Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
- Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Bo Yang
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, P.R. China
| | - Shizhen Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Mei Li
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
- Center for Mental Health Education and Counselling, Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Guangheng Dong
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, P.R. China
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Desvaux T, Danna J, Velay JL, Frey A. From gifted to high potential and twice exceptional: A state-of-the-art meta-review. APPLIED NEUROPSYCHOLOGY. CHILD 2024; 13:165-179. [PMID: 37665678 DOI: 10.1080/21622965.2023.2252950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Despite the abundant literature on intelligence and high potential individuals, there is still a lack of international consensus on the terminology and clinical characteristics associated to this population. It has been argued that unstandardized use of diagnosis tools and research methods make comparisons and interpretations of scientific and epidemiological evidence difficult in this field. If multiple cognitive and psychological models have attempted to explain the mechanisms underlying high potentiality, there is a need to confront new scientific evidence with the old, to uproot a global understanding of what constitutes the neurocognitive profile of high-potential in gifted individuals. Another particularly relevant aspect of applied research on high potentiality concerns the challenges faced by individuals referred to as "twice exceptional" in the field of education and in their socio-affective life. Some individuals have demonstrated high forms of intelligence together with learning, affective or neurodevelopmental disorders posing the question as to whether compensating or exacerbating psycho-cognitive mechanisms might underlie their observed behavior. Elucidating same will prove relevant to questions concerning the possible need for differential diagnosis tools, specialized educational and clinical support. A meta-review of the latest findings from neuroscience to developmental psychology, might help in the conception and reviewing of intervention strategies.
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Affiliation(s)
- Tatiana Desvaux
- CNRS, Laboratoire de Neurosciences Cognitives, Aix-Marseille University, UMR 7291, Marseille, France
| | - J Danna
- CLLE, Université de Toulouse, CNRS, Toulouse, France
| | - J-L Velay
- CNRS, Laboratoire de Neurosciences Cognitives, Aix-Marseille University, UMR 7291, Marseille, France
| | - A Frey
- CNRS, Laboratoire de Neurosciences Cognitives, Aix-Marseille University, UMR 7291, Marseille, France
- INSPE of Aix-Marseille University, Marseille, France
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7
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Gotlieb RJM, Yang XF, Immordino-Yang MH. Diverse adolescents' transcendent thinking predicts young adult psychosocial outcomes via brain network development. Sci Rep 2024; 14:6254. [PMID: 38491075 PMCID: PMC10943076 DOI: 10.1038/s41598-024-56800-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 03/11/2024] [Indexed: 03/18/2024] Open
Abstract
Developmental scientists have long described mid-adolescents' emerging capacities to make deep meaning about the social world and self, here called transcendent thinking, as a hallmark developmental stage. In this 5-years longitudinal study, sixty-five 14-18 years-old youths' proclivities to grapple psychologically with the ethical, systems-level and personal implications of social stories, predicted future increases in the coordination of two key brain networks: the default-mode network, involved in reflective, autobiographical and free-form thinking, and the executive control network, involved in effortful, focused thinking; findings were independent of IQ, ethnicity, and socioeconomic background. This neural development predicted late-adolescent identity development, which predicted young-adult self-liking and relationship satisfaction, in a developmental cascade. The findings reveal a novel predictor of mid-adolescents' neural development, and suggest the importance of attending to adolescents' proclivities to engage agentically with complex perspectives and emotions on the social and personal relevance of issues, such as through civically minded educational approaches.
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Affiliation(s)
- Rebecca J M Gotlieb
- Center for Dyslexia, Diverse Learners, and Social Justice, School of Education and Information Studies, University of California Los Angeles, Los Angeles, USA
| | - Xiao-Fei Yang
- Center for Affective Neuroscience, Development, Learning and Education; Brain and Creativity Institute; Rossier School of Education, University of Southern California, Los Angeles, CA, USA
| | - Mary Helen Immordino-Yang
- Center for Affective Neuroscience, Development, Learning and Education; Brain and Creativity Institute; Rossier School of Education, University of Southern California, Los Angeles, CA, USA.
- Neuroscience Graduate Program; Psychology Department, University of Southern California, Los Angeles, CA, USA.
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8
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Gutierrez-Castellanos N, Sarra D, Godinho BS, Mainen ZF. Maturation of cortical input to dorsal raphe nucleus increases behavioral persistence in mice. eLife 2024; 13:e93485. [PMID: 38477558 PMCID: PMC10994666 DOI: 10.7554/elife.93485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
The ability to persist toward a desired objective is a fundamental aspect of behavioral control whose impairment is implicated in several behavioral disorders. One of the prominent features of behavioral persistence is that its maturation occurs relatively late in development. This is presumed to echo the developmental time course of a corresponding circuit within late-maturing parts of the brain, such as the prefrontal cortex, but the specific identity of the responsible circuits is unknown. Here, we used a genetic approach to describe the maturation of the projection from layer 5 neurons of the neocortex to the dorsal raphe nucleus in mice. Using optogenetic-assisted circuit mapping, we show that this projection undergoes a dramatic increase in synaptic potency between postnatal weeks 3 and 8, corresponding to the transition from juvenile to adult. We then show that this period corresponds to an increase in the behavioral persistence that mice exhibit in a foraging task. Finally, we used a genetic targeting strategy that primarily affected neurons in the medial prefrontal cortex, to selectively ablate this pathway in adulthood and show that mice revert to a behavioral phenotype similar to juveniles. These results suggest that frontal cortical to dorsal raphe input is a critical anatomical and functional substrate of the development and manifestation of behavioral persistence.
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Affiliation(s)
| | - Dario Sarra
- Champalimaud Research, Champalimaud FoundationLisbonPortugal
- Nuffield Department of Clinical Neurosciences, University of OxfordOxfordUnited Kingdom
| | - Beatriz S Godinho
- Champalimaud Research, Champalimaud FoundationLisbonPortugal
- Nuffield Department of Clinical Neurosciences, University of OxfordOxfordUnited Kingdom
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Tomoda A, Nishitani S, Takiguchi S, Fujisawa TX, Sugiyama T, Teicher MH. The neurobiological effects of childhood maltreatment on brain structure, function, and attachment. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01779-y. [PMID: 38466395 DOI: 10.1007/s00406-024-01779-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 02/16/2024] [Indexed: 03/13/2024]
Abstract
Childhood maltreatment is a risk factor for psychopathologies, and influences brain development at specific periods, particularly during early childhood and adolescence. This narrative review addresses phenotypic alterations in sensory systems associated with specific types of childhood maltreatment exposure, periods of vulnerability to the neurobiological effects of maltreatment, and the relationships between childhood maltreatment and brain structure, function, connectivity, and network architecture; psychopathology; and resilience. It also addresses neurobiological alterations associated with maternal communication and attachment disturbances, and uses laboratory-based measures during infancy and case-control studies to elucidate neurobiological alterations in reactive attachment disorders in children with maltreatment histories. Moreover, we review studies on the acute effects of oxytocin on reactive attachment disorder and maltreatment and methylation of oxytocin regulatory genes. Epigenetic changes may play a critical role in initiating or producing the atypical structural and functional brain alterations associated with childhood maltreatment. However, these changes could be reversed through psychological and pharmacological interventions, and by anticipating or preventing the emergence of brain alterations and subsequent psychopathological risks.
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Affiliation(s)
- Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, 910-1193, Japan.
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan.
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan.
| | - Shota Nishitani
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, 910-1193, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan
| | - Shinichiro Takiguchi
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Takashi X Fujisawa
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, 910-1193, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan
| | - Toshiro Sugiyama
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, 910-1193, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Fukui, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Martin H Teicher
- Developmental Biopsychiatry Research Program, McLean Hospital, Belmont, USA
- Department of Psychiatry, Harvard Medical School, Boston, USA
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10
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Thomson AR, Hwa H, Pasanta D, Hopwood B, Powell HJ, Lawrence R, Tabuenca ZG, Arichi T, Edden RAE, Chai X, Puts NA. The developmental trajectory of 1H-MRS brain metabolites from childhood to adulthood. Cereb Cortex 2024; 34:bhae046. [PMID: 38430105 PMCID: PMC10908220 DOI: 10.1093/cercor/bhae046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 03/03/2024] Open
Abstract
Human brain development is ongoing throughout childhood, with for example, myelination of nerve fibers and refinement of synaptic connections continuing until early adulthood. 1H-Magnetic Resonance Spectroscopy (1H-MRS) can be used to quantify the concentrations of endogenous metabolites (e.g. glutamate and γ -aminobutyric acid (GABA)) in the human brain in vivo and so can provide valuable, tractable insight into the biochemical processes that support postnatal neurodevelopment. This can feasibly provide new insight into and aid the management of neurodevelopmental disorders by providing chemical markers of atypical development. This study aims to characterize the normative developmental trajectory of various brain metabolites, as measured by 1H-MRS from a midline posterior parietal voxel. We find significant non-linear trajectories for GABA+ (GABA plus macromolecules), Glx (glutamate + glutamine), total choline (tCho) and total creatine (tCr) concentrations. Glx and GABA+ concentrations steeply decrease across childhood, with more stable trajectories across early adulthood. tCr and tCho concentrations increase from childhood to early adulthood. Total N-acetyl aspartate (tNAA) and Myo-Inositol (mI) concentrations are relatively stable across development. Trajectories likely reflect fundamental neurodevelopmental processes (including local circuit refinement) which occur from childhood to early adulthood and can be associated with cognitive development; we find GABA+ concentrations significantly positively correlate with recognition memory scores.
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Affiliation(s)
- Alice R Thomson
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, Department of Neurodevelopmental Disorders, New Hunt's House, Guy's Campus, King's College London, London, SE1 1UL, United Kingdom
| | - Hannah Hwa
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Duanghathai Pasanta
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Benjamin Hopwood
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Helen J Powell
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Ross Lawrence
- Division of Cognitive Neurology, Department of Neurology, Johns Hopkins University, 1629 Thames Street Suite 350, Baltimore, MD 21231, United States
| | - Zeus G Tabuenca
- Department of Statistical Methods, University of Zaragoza, Pedro Cerbuna 12, Zaragoza, 50009, Spain
| | - Tomoki Arichi
- MRC Centre for Neurodevelopmental Disorders, Department of Neurodevelopmental Disorders, New Hunt's House, Guy's Campus, King's College London, London, SE1 1UL, United Kingdom
- Centre for the Developing Brain, Department of Perinatal Imaging & Health, 1st Floor, South Wing, St Thomas’ Hospital, London, SE1 7EH, United Kingdom
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD 21287, United States
- F.M. Kirby Research Centre for Functional Brain Imaging, Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD 21205, United States
| | - Xiaoqian Chai
- Department of Neurology and Neurosurgery, McGill University, QC H3A2B4, Canada
| | - Nicolaas A Puts
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, Department of Neurodevelopmental Disorders, New Hunt's House, Guy's Campus, King's College London, London, SE1 1UL, United Kingdom
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Feeney K, Pintos Lobo R, Hare MM, Morris SSJ, Laird AR, Musser ED. Parental Deprivation- and Threat-Based Factors Associated with Youth Emotion-Based Neurocircuitry and Externalizing Behavior: A Systematic Review. Res Child Adolesc Psychopathol 2024; 52:311-323. [PMID: 37831222 DOI: 10.1007/s10802-023-01138-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/02/2023] [Indexed: 10/14/2023]
Abstract
Parental factors, including negative parenting practices (e.g., family conflict, low monitoring), parental depression, and parental substance use, are associated with externalizing behaviors among youth. However, the ways in which these parental factors are associated with youth brain function and consequent externalizing behavior has been less studied. Both the dimensional and stress acceleration models provide frameworks for understanding how parental factors may be associated with frontolimbic and frontoparietal networks implicated in emotional attention and regulation processes. The current review builds upon this work by examining how deprivation- and threat-based parental factors are associated with youth neurocircuitry involved in emotional functioning and externalizing behaviors. A systematic review using PRISMA guidelines was completed and included five studies assessing parenting behaviors, six studies assessing parental depressive symptoms and/or diagnosis, and 12 studies assessing parental history of substance use. Synthesis of reviewed studies discusses support for the dimensional and stress acceleration models within the context of deprivation and threat. Further, a limited number of studies tested (i.e., six studies) and supported (i.e., three studies) youth neural structure and function as a mediator of the association between parental factors and youth externalizing behavior. Specific recommendations for future work include more deliberate planning related to sample composition, improved clarity related to parental constructs, consistency in methodology, and longitudinal study design in order to better understand associations between contextual parental influences and youth neural and behavioral functioning.
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Affiliation(s)
- Kathleen Feeney
- Department of Psychology, Florida International University, Miami, FL, USA.
| | | | - Megan M Hare
- Department of Psychology, Florida International University, Miami, FL, USA
| | | | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Erica D Musser
- Department of Psychology, Florida International University, Miami, FL, USA
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12
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Zhao Y, Lin J, Qi X, Cao D, Zhu F, Chen L, Tan Z, Mo T, Zeng H. To explore the potential mechanisms of cognitive impairment in children with MRI-negative pharmacoresistant epilepsy due to focal cortical dysplasia: A pilot study from gray matter structure view. Heliyon 2024; 10:e26609. [PMID: 38404806 PMCID: PMC10884915 DOI: 10.1016/j.heliyon.2024.e26609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 01/22/2024] [Accepted: 02/15/2024] [Indexed: 02/27/2024] Open
Abstract
Objectives To investigate the characteristics of brain structure in children with focal cortical dysplasia (FCD)-induced pharmacoresistant epilepsy, and explore the potential mechanisms of cognitive impairment from the view of gray matter alteration. Methods 25 pharmacoresistant pediatric patients with pathologically confirmed focal cortical dysplasia (FCD), and 25 gender-matched healthy controls were included in this study. 3.0T MRI data and intelligence tests using the Wechsler Intelligence Scale for Children-Forth Edition (WISC-IV) were generated for all subjects. Voxel-based morphometry (VBM)-diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL) and surface-based morphometry (SBM) analyses were performed to analyze gray matter volume and cortical structure. Two-sample t-tests were used to compare the differences in gray matter volume (P<0.05, FWE) and cortical thickness (P<0.001, FWE) between the two groups. Also, the Spearman rank correlation analyses were employed to determine the relationship between structural alterations and neuropsychological results. Results The WISC-IV scores of the FCD group were significantly lower than those of the HC group in terms of full-scale intelligence quotient (FSIQ), verbal comprehension index (VCI), perceptual reasoning index (PRI), working memory index (WMI), and processing speed index (PSI) (all P<0.01). Compared with the HC group, in the FCD group, the gray matter volume (GMV) reduced significantly in the left cerebellum_8, cerebellum_Crus2, and bilateral thalamus (P<0.05, FWE); the GMV increased in the bilateral medial frontal gyrus, right precuneus, and left inferior temporal gyrus (P<0.05, FWE), and the cortical thickness increased in the bilateral frontal, parietal, and temporal areas (P<0.001, FWE). Correlation analyses showed that the age of seizure onset had positive correlations with the WISC-IV scores significantly. Meanwhile, the cortex thicknesses of the left pars opercularis gyrus, left middle temporal gyrus, and right inferior temporal gyrus had negative correlations with the WISC-IV scores significantly. Conclusion FCD patients showed subtle structural abnormalities in multiple brain regions, with significant involvement of the primary visual cortex and language function cortex. And we also demonstrated a crucial correlation between gray matter structural alteration and cognitive impairment.
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Affiliation(s)
- Yilin Zhao
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China
| | - Jieqiong Lin
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Xinxin Qi
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
- China Medical University, Shenyang, China
| | - Dezhi Cao
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen, China
| | - Fengjun Zhu
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen, China
| | - Li Chen
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen, China
| | - Zeshi Tan
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen, China
| | - Tong Mo
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
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13
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Latronico T, Rossano R, Miniero DV, Casalino E, Liuzzi GM. Neuroprotective Effect of Resveratrol against Manganese-Induced Oxidative Stress and Matrix Metalloproteinase-9 in an "In Vivo" Model of Neurotoxicity. Int J Mol Sci 2024; 25:2142. [PMID: 38396818 PMCID: PMC10888573 DOI: 10.3390/ijms25042142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
Chronic exposure to manganese (Mn) leads to its accumulation in the central nervous system (CNS) and neurotoxicity with not well-known mechanisms. We investigated the involvement of matrix metalloproteinase (MMP)-2 and -9 in Mn neurotoxicity in an in vivo model of rats treated through an intraperitoneal injection, for 4 weeks, with 50 mg/kg of MnCl2 in the presence or in the absence of 30 mg/kg of resveratrol (RSV). A loss of weight was observed in Mn-treated rats compared with untreated and RSV-treated rats. A progressive recovery of body weight was detected in rats co-treated with Mn and RSV. The analysis of brain homogenates indicated that RSV counteracted the Mn-induced increase in MMP-9 levels and reactive oxygen species production as well as the Mn-induced decrease in superoxide dismutase activity and glutathione content. In conclusion, Mn exposure, resulting in MMP-9 induction with mechanisms related to oxidative stress, represents a risk factor for the development of CNS diseases.
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Affiliation(s)
- Tiziana Latronico
- Department of Biosciences, Biotechnologies and Environment, University of Bari “A. Moro”, 70126 Bari, Italy; (D.V.M.); (G.M.L.)
| | - Rocco Rossano
- Department of Sciences, University of Basilicata, 85100 Potenza, Italy;
| | - Daniela Valeria Miniero
- Department of Biosciences, Biotechnologies and Environment, University of Bari “A. Moro”, 70126 Bari, Italy; (D.V.M.); (G.M.L.)
| | - Elisabetta Casalino
- Department of Veterinary Medicine, University of Bari “A. Moro”, 70010 Bari, Italy;
| | - Grazia Maria Liuzzi
- Department of Biosciences, Biotechnologies and Environment, University of Bari “A. Moro”, 70126 Bari, Italy; (D.V.M.); (G.M.L.)
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14
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Koc D, El Marroun H, Stricker BH, Muetzel RL, Tiemeier H. Intrauterine Exposure to Antidepressants or Maternal Depressive Symptoms and Offspring Brain White Matter Trajectories From Late Childhood to Adolescence. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:217-226. [PMID: 37926188 DOI: 10.1016/j.bpsc.2023.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND During pregnancy, both selective serotonin reuptake inhibitor (SSRI) exposure and maternal depression have been associated with poor offspring neurodevelopmental outcomes. In a population-based cohort, we investigated the association between intrauterine exposure to SSRIs and depressive symptoms and offspring white matter development from childhood to adolescence. METHODS Self-reported SSRI use was verified by pharmacy records. In midpregnancy, women reported on depressive symptoms using the Brief Symptom Inventory. Using diffusion tensor imaging, offspring white matter microstructure, including whole-brain and tract-specific fractional anisotropy (FA) and mean diffusivity, was measured at 3 assessments between ages 7 to 15 years. The participants were divided into 4 groups: prenatal SSRI exposure (n = 37 with 60 scans), prenatal depression exposure (n = 229 with 367 scans), SSRI use before pregnancy (n = 72 with 95 scans), and reference (n = 2640 with 4030 scans). RESULTS Intrauterine exposure to SSRIs and depressive symptoms were associated with lower FA in the whole-brain and the forceps minor at 7 years. Exposure to higher prenatal depressive symptom scores was associated with lower FA in the uncinate fasciculus, cingulum bundle, superior and inferior longitudinal fasciculi, and corticospinal tracts. From ages 7 to 15 years, children exposed to prenatal depressive symptoms showed a faster increase in FA in these white matter tracts. Prenatal SSRI exposure was not related to white matter microstructure growth over and above exposure to depressive symptoms. CONCLUSIONS These results suggest that prenatal exposure to maternal depressive symptoms was negatively associated with white matter microstructure in childhood, but these differences attenuated during development, suggesting catch-up growth.
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Affiliation(s)
- Dogukan Koc
- Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioral Science, Erasmus University Rotterdam, Rotterdam, the Netherlands.
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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15
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Orekhova EV, Fadeev KA, Goiaeva DE, Obukhova TS, Ovsiannikova TM, Prokofyev AO, Stroganova TA. Different hemispheric lateralization for periodicity and formant structure of vowels in the auditory cortex and its changes between childhood and adulthood. Cortex 2024; 171:287-307. [PMID: 38061210 DOI: 10.1016/j.cortex.2023.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 08/31/2023] [Accepted: 10/30/2023] [Indexed: 02/12/2024]
Abstract
The spectral formant structure and periodicity pitch are the major features that determine the identity of vowels and the characteristics of the speaker. However, very little is known about how the processing of these features in the auditory cortex changes during development. To address this question, we independently manipulated the periodicity and formant structure of vowels while measuring auditory cortex responses using magnetoencephalography (MEG) in children aged 7-12 years and adults. We analyzed the sustained negative shift of source current associated with these vowel properties, which was present in the auditory cortex in both age groups despite differences in the transient components of the auditory response. In adults, the sustained activation associated with formant structure was lateralized to the left hemisphere early in the auditory processing stream requiring neither attention nor semantic mapping. This lateralization was not yet established in children, in whom the right hemisphere contribution to formant processing was strong and decreased during or after puberty. In contrast to the formant structure, periodicity was associated with a greater response in the right hemisphere in both children and adults. These findings suggest that left-lateralization for the automatic processing of vowel formant structure emerges relatively late in ontogenesis and pose a serious challenge to current theories of hemispheric specialization for speech processing.
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Affiliation(s)
- Elena V Orekhova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Kirill A Fadeev
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Dzerassa E Goiaeva
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Tatiana S Obukhova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Tatiana M Ovsiannikova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Andrey O Prokofyev
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Tatiana A Stroganova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
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16
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Manzotti A, Panisi C, Pivotto M, Vinciguerra F, Benedet M, Brazzoli F, Zanni S, Comassi A, Caputo S, Cerritelli F, Chiera M. An in-depth analysis of the polyvagal theory in light of current findings in neuroscience and clinical research. Dev Psychobiol 2024; 66:e22450. [PMID: 38388187 DOI: 10.1002/dev.22450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 09/04/2023] [Accepted: 12/01/2023] [Indexed: 02/24/2024]
Abstract
The polyvagal theory has led to the understanding of the functions of the autonomic nervous system in biological development in humans, since the vagal system, a key structure within the polyvagal theory, plays a significant role in addressing challenges of the mother-child dyad. This article aims to summarize the neurobiological aspects of the polyvagal theory, highlighting some of its strengths and limitations through the lens of new evidence emerging in several research fields-including comparative anatomy, embryology, epigenetics, psychology, and neuroscience-in the 25 years since the theory's inception. Rereading and incorporating the polyvagal idea in light of modern scientific findings helps to interpret the role of the vagus nerve through the temporal dimension (beginning with intrauterine life) and spatial dimension (due to the numerous connections of the vagus with various structures and systems) in the achievement and maintenance of biopsychosocial well-being, from the uterus to adulthood.
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Affiliation(s)
- Andrea Manzotti
- Division of Neonatology, "V. Buzzi" Children's Hospital, ASST-FBF-Sacco, Milan, Italy
- RAISE Lab, Clinical-Based Human Research Department, Foundation COME Collaboration, Pescara, Italy
- Research Department, SOMA Istituto Osteopatia Milano, Milan, Italy
| | - Cristina Panisi
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Italy
| | - Micol Pivotto
- Research Department, SOMA Istituto Osteopatia Milano, Milan, Italy
| | | | - Matteo Benedet
- Research Department, SOMA Istituto Osteopatia Milano, Milan, Italy
| | | | - Silvia Zanni
- Research Department, SOMA Istituto Osteopatia Milano, Milan, Italy
| | - Alberto Comassi
- Research Department, SOMA Istituto Osteopatia Milano, Milan, Italy
| | - Sara Caputo
- Research Department, SOMA Istituto Osteopatia Milano, Milan, Italy
| | - Francesco Cerritelli
- RAISE Lab, Clinical-Based Human Research Department, Foundation COME Collaboration, Pescara, Italy
| | - Marco Chiera
- RAISE Lab, Clinical-Based Human Research Department, Foundation COME Collaboration, Pescara, Italy
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17
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Liang X, Sun L, Liao X, Lei T, Xia M, Duan D, Zeng Z, Li Q, Xu Z, Men W, Wang Y, Tan S, Gao JH, Qin S, Tao S, Dong Q, Zhao T, He Y. Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence. Nat Commun 2024; 15:784. [PMID: 38278807 PMCID: PMC10817914 DOI: 10.1038/s41467-024-44863-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 01/08/2024] [Indexed: 01/28/2024] Open
Abstract
Cortical thinning is an important hallmark of the maturation of brain morphology during childhood and adolescence. However, the connectome-based wiring mechanism that underlies cortical maturation remains unclear. Here, we show cortical thinning patterns primarily located in the lateral frontal and parietal heteromodal nodes during childhood and adolescence, which are structurally constrained by white matter network architecture and are particularly represented using a network-based diffusion model. Furthermore, connectome-based constraints are regionally heterogeneous, with the largest constraints residing in frontoparietal nodes, and are associated with gene expression signatures of microstructural neurodevelopmental events. These results are highly reproducible in another independent dataset. These findings advance our understanding of network-level mechanisms and the associated genetic basis that underlies the maturational process of cortical morphology during childhood and adolescence.
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Affiliation(s)
- Xinyuan Liang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Lianglong Sun
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Xuhong Liao
- School of Systems Science, Beijing Normal University, Beijing, 100875, China
| | - Tianyuan Lei
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Mingrui Xia
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Dingna Duan
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Zilong Zeng
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Qiongling Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Zhilei Xu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Weiwei Men
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
- Beijing City Key Laboratory for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, 100871, China
| | - Yanpei Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Shuping Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, 100096, China
| | - Jia-Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
- Beijing City Key Laboratory for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
- Chinese Institute for Brain Research, Beijing, 102206, China
| | - Sha Tao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Tengda Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China.
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China.
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
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18
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Liu X, Hu Y, Hao Y, Yang L. Individual differences in the neural architecture in semantic processing. Sci Rep 2024; 14:170. [PMID: 38168133 PMCID: PMC10761854 DOI: 10.1038/s41598-023-49538-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 12/09/2023] [Indexed: 01/05/2024] Open
Abstract
Neural mechanisms underlying semantic processing have been extensively studied by using functional magnetic resonance imaging, nevertheless, the individual differences of it are yet to be unveiled. To further our understanding of functional and anatomical brain organization underlying semantic processing to the level of individual humans, we used out-of-scanner language behavioral data, T1, resting-state, and story comprehension task-evoked functional image data in the Human Connectome Project, to investigate individual variability in the task-evoked semantic processing network, and attempted to predict individuals' language skills based on task and intrinsic functional connectivity of highly variable regions, by employing a machine-learning framework. Our findings first confirmed that individual variability in both functional and anatomical markers were heterogeneously distributed throughout the semantic processing network, and that the variability increased towards higher levels in the processing hierarchy. Furthermore, intrinsic functional connectivities among these highly variable regions were found to contribute to predict individual reading decoding abilities. The contributing nodes in the overall network were distributed in the left superior, inferior frontal, and temporo-parietal cortices. Our results suggested that the individual differences of neurobiological markers were heterogeneously distributed in the semantic processing network, and that neurobiological markers of highly variable areas are not only linked to individual variability in language skills, but can predict language skills at the individual level.
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Affiliation(s)
- Xin Liu
- Air Force Medical Center, Air Force Medical University, No. 28, Fucheng Street, Haidian District, Beijing, 100142, China.
| | - Yiwen Hu
- Air Force Medical Center, Air Force Medical University, No. 28, Fucheng Street, Haidian District, Beijing, 100142, China
| | - Yaokun Hao
- Air Force Medical Center, Air Force Medical University, No. 28, Fucheng Street, Haidian District, Beijing, 100142, China
| | - Liu Yang
- Air Force Medical Center, Air Force Medical University, No. 28, Fucheng Street, Haidian District, Beijing, 100142, China
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19
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Liu X, Chen Q, Cheng F, Zhuang W, Zhang W, Tang Y, Zhou D. The abnormal brain activation pattern of adolescents with major depressive disorder based on working memory tasks: A fNIRS study. J Psychiatr Res 2024; 169:31-37. [PMID: 38000181 DOI: 10.1016/j.jpsychires.2023.10.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/16/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023]
Abstract
OBJECTIVE Although studies have confirmed that working memory (WM) is impaired among adults with major depressive disorder (MDD), generalizing these neurocognitive impairments to adolescents with MDD would be tenuous. Therefore, separate studies for adolescents with MDD are needed. Relatively little is known about the neural processes associated with WM dysfunction in adolescents with MDD. Thus, we examined whether adolescents with MDD have abnormal brain activation patterns compared to healthy controls (HC) during WM tasks and whether it was possible to distinguish adolescents with MDD and HC based on mean oxy-hemoglobin (Oxy-Hb) changes. METHOD A total of 87 adolescents with MDD and 63 HC were recruited. Functional near-infrared spectroscopy (fNIRS) was performed to monitor the concentrations of Oxy-Hb in the frontotemporal lobe while participants performed three WM tasks in order to examine WM impairments in adolescents with depression. RESULTS The mean changes in Oxy-Hb concentrations in the left prefrontal cortex and right prefrontal cortex were higher among HC than among patients during the encoding and maintenance phase under each WM-load task. Machine learning was used to distinguish adolescents with MDD and HC based on Oxy-Hb changes, with a moderate area under the curve of 0.84. CONCLUSIONS This study revealed WM defects in adolescents with MDD compared to HC based on mean Oxy-Hb changes, which can be valuable for distinguishing adolescents with MDD from HC.
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Affiliation(s)
- Xiaoli Liu
- Department of Psychiatry, Ningbo Kangning Hospital & Affiliated Mental Health Centre, Ningbo Key Laboratory for Physical Diagnosis and Treatment of Mental and Psychological Disorders, Ningbo University, Ningbo, Zhejiang, 315201, China
| | - Qianqian Chen
- Department of Psychosomatic, Taizhou Second People's Hospital, Taizhou, Zhejiang, 317200, China
| | - Fang Cheng
- Department of Psychiatry, Ningbo Kangning Hospital & Affiliated Mental Health Centre, Ningbo Key Laboratory for Physical Diagnosis and Treatment of Mental and Psychological Disorders, Ningbo University, Ningbo, Zhejiang, 315201, China
| | - Wenhao Zhuang
- Department of Psychiatry, Ningbo Kangning Hospital & Affiliated Mental Health Centre, Ningbo Key Laboratory for Physical Diagnosis and Treatment of Mental and Psychological Disorders, Ningbo University, Ningbo, Zhejiang, 315201, China
| | - Wenwu Zhang
- Department of Psychiatry, Ningbo Kangning Hospital & Affiliated Mental Health Centre, Ningbo Key Laboratory for Physical Diagnosis and Treatment of Mental and Psychological Disorders, Ningbo University, Ningbo, Zhejiang, 315201, China.
| | - Yiping Tang
- Department of Psychosomatic, Taizhou Second People's Hospital, Taizhou, Zhejiang, 317200, China.
| | - Dongsheng Zhou
- Department of Psychiatry, Ningbo Kangning Hospital & Affiliated Mental Health Centre, Ningbo Key Laboratory for Physical Diagnosis and Treatment of Mental and Psychological Disorders, Ningbo University, Ningbo, Zhejiang, 315201, China.
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20
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Langensee L, Spotorno N, Mårtensson J. Beyond the language network: Associations between reading, receptive vocabulary, and grey matter volume in 10-year-olds. Neuropsychologia 2023; 191:108719. [PMID: 37939873 DOI: 10.1016/j.neuropsychologia.2023.108719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 11/10/2023]
Abstract
Most research on the neurostructural basis of language abilities in children stems from small samples and surface-based measures. To complement and expand the existent knowledge, we investigated associations between grey matter volume and language performance in a large sample of 9-to-11-year-old children, using data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 1865) and an alternative measure of grey matter morphology. We estimated whole-brain grey matter volume for one half of the sample (N = 939) and tested for correlations with scores on a picture vocabulary and a letter and word reading test, with and without factoring in general intelligence and total grey matter volume as additional covariates. The initial analyses yielded correlations between grey matter in the right occipital fusiform gyrus, the right lingual gyrus, and the cerebellum for both vocabulary and reading. Employing the significant clusters from the first analyses as regions of interest in the second half of the cohort (N = 926) in correlational and multiple regression analyses suggests the cluster in the right occipital fusiform and lingual gyri to be most robust. Overall, the amount of variance explained by grey matter volume is limited and factoring in additional covariates paints an inconsistent picture. The present findings reinforce existent doubt with respect to explaining individual differences in reading and vocabulary performance based on unique contributions of macrostructural brain features.
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Affiliation(s)
- Lara Langensee
- Department of Clinical Sciences, Lund University, Lund, Sweden.
| | - Nicola Spotorno
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
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21
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Martins M, Reis AM, Gaser C, Castro SL. Individual differences in rhythm perception modulate music-related motor learning: a neurobehavioral training study with children. Sci Rep 2023; 13:21552. [PMID: 38057419 PMCID: PMC10700636 DOI: 10.1038/s41598-023-48132-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 11/22/2023] [Indexed: 12/08/2023] Open
Abstract
Rhythm and motor function are intrinsically linked to each other and to music, but the rhythm-motor interplay during music training, and the corresponding brain mechanisms, are underexplored. In a longitudinal training study with children, we examined the role of rhythm predisposition in the fine motor improvements arising from music training, and which brain regions would be implicated. Fifty-seven 8-year-olds were assigned to either a 6-month music training (n = 21), sports training (n = 18), or a control group (n = 18). They performed rhythm and motor tasks, and structural brain scans before and after training were collected. Better ability to perceive rhythm before training was related to less gray matter volume in regions of the cerebellum, fusiform gyrus, supramarginal gyrus, ventral diencephalon, amygdala, and inferior/middle temporal gyri. Music training improved motor performance, and greater improvements correlated with better pre-training rhythm discrimination. Music training also induced a loss of gray matter volume in the left cerebellum and fusiform gyrus, and volume loss correlated with higher motor gains. No such effects were found in the sports and control groups. In summary, children with finer-tuned rhythm perception abilities were prone to finer motor improvements through music training, and this rhythm-motor link was to some extent subserved by the left cerebellum and fusiform gyrus. These findings have implications for models on music-related plasticity and rhythm cognition, and for programs targeting motor function.
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Affiliation(s)
- Marta Martins
- University Institute of Lisbon (ISCTE-IUL), 1649-026, Lisboa, Portugal
- Center for Psychology, Faculty of Psychology and Education Sciences, University of Porto, 4200-319, Porto, Portugal
| | | | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, 07743, Jena, Germany
- Department of Neurology, Jena University Hospital, 07743, Jena, Germany
| | - São Luís Castro
- Center for Psychology, Faculty of Psychology and Education Sciences, University of Porto, 4200-319, Porto, Portugal.
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22
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Pulli EP, Nolvi S, Eskola E, Nordenswan E, Holmberg E, Copeland A, Kumpulainen V, Silver E, Merisaari H, Saunavaara J, Parkkola R, Lähdesmäki T, Saukko E, Kataja E, Korja R, Karlsson L, Karlsson H, Tuulari JJ. Structural brain correlates of non-verbal cognitive ability in 5-year-old children: Findings from the FinnBrain birth cohort study. Hum Brain Mapp 2023; 44:5582-5601. [PMID: 37606608 PMCID: PMC10619410 DOI: 10.1002/hbm.26463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/03/2023] [Accepted: 08/08/2023] [Indexed: 08/23/2023] Open
Abstract
Non-verbal cognitive ability predicts multiple important life outcomes, for example, school and job performance. It has been associated with parieto-frontal cortical anatomy in prior studies in adult and adolescent populations, while young children have received relatively little attention. We explored the associations between cortical anatomy and non-verbal cognitive ability in 165 5-year-old participants (mean scan age 5.40 years, SD 0.13; 90 males) from the FinnBrain Birth Cohort study. T1-weighted brain magnetic resonance images were processed using FreeSurfer. Non-verbal cognitive ability was measured using the Performance Intelligence Quotient (PIQ) estimated from the Block Design and Matrix Reasoning subtests from the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III). In vertex-wise general linear models, PIQ scores associated positively with volumes in the left caudal middle frontal and right pericalcarine regions, as well as surface area in left the caudal middle frontal, left inferior temporal, and right lingual regions. There were no associations between PIQ and cortical thickness. To the best of our knowledge, this is the first study to examine structural correlates of non-verbal cognitive ability in a large sample of typically developing 5-year-olds. The findings are generally in line with prior findings from older age groups, with the important addition of the positive association between volume / surface area in the right medial occipital region and non-verbal cognitive ability. This finding adds to the literature by discovering a new brain region that should be considered in future studies exploring the role of cortical structure for cognitive development in young children.
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Affiliation(s)
- Elmo P. Pulli
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Saara Nolvi
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Turku Institute for Advanced Studies, Department of Psychology and Speech‐Language PathologyUniversity of TurkuTurkuFinland
| | - Eeva Eskola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of PsychologyUniversity of TurkuTurkuFinland
| | - Elisabeth Nordenswan
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Eeva Holmberg
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Anni Copeland
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Venla Kumpulainen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Eero Silver
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Harri Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of RadiologyUniversity of TurkuTurkuFinland
| | - Jani Saunavaara
- Department of Medical PhysicsTurku University Hospital and University of TurkuTurkuFinland
| | - Riitta Parkkola
- Department of RadiologyUniversity of TurkuTurkuFinland
- Department of RadiologyTurku University HospitalTurkuFinland
| | - Tuire Lähdesmäki
- Pediatric Neurology, Department of Pediatrics and Adolescent MedicineTurku University Hospital and University of TurkuTurkuFinland
| | | | - Eeva‐Leena Kataja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Riikka Korja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of PsychologyUniversity of TurkuTurkuFinland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of Pediatrics and Adolescent MedicineTurku University Hospital and University of TurkuTurkuFinland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of PsychiatryTurku University Hospital and University of TurkuTurkuFinland
| | - Jetro J. Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of PsychiatryTurku University Hospital and University of TurkuTurkuFinland
- Turku Collegium for Science, Medicine and TechnologyUniversity of TurkuTurkuFinland
- Department of PsychiatryUniversity of OxfordOxfordUK
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23
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Fan H, Liu Z, Wu X, Yu G, Gu X, Kuang N, Zhang K, Liu Y, Jia T, Sahakian BJ, Robbins TW, Schumann G, Cheng W, Feng J, Becker B, Zhang J. Decoding anxiety-impulsivity subtypes in preadolescent internalising disorders: findings from the Adolescent Brain Cognitive Development study. Br J Psychiatry 2023; 223:542-554. [PMID: 37730654 DOI: 10.1192/bjp.2023.107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
BACKGROUND Internalising disorders are highly prevalent emotional dysregulations during preadolescence but clinical decision-making is hampered by high heterogeneity. During this period impulsivity represents a major risk factor for psychopathological trajectories and may act on this heterogeneity given the controversial anxiety-impulsivity relationships. However, how impulsivity contributes to the heterogeneous symptomatology, neurobiology, neurocognition and clinical trajectories in preadolescent internalising disorders remains unclear. AIMS The aim was to determine impulsivity-dependent subtypes in preadolescent internalising disorders that demonstrate distinct anxiety-impulsivity relationships, neurobiological, genetic, cognitive and clinical trajectory signatures. METHOD We applied a data-driven strategy to determine impulsivity-related subtypes in 2430 preadolescents with internalising disorders from the Adolescent Brain Cognitive Development study. Cross-sectional and longitudinal analyses were employed to examine subtype-specific signatures of the anxiety-impulsivity relationship, brain morphology, cognition and clinical trajectory from age 10 to 12 years. RESULTS We identified two distinct subtypes of patients who internalise with comparably high anxiety yet distinguishable levels of impulsivity, i.e. enhanced (subtype 1) or decreased (subtype 2) compared with control participants. The two subtypes exhibited opposing anxiety-impulsivity relationships: higher anxiety at baseline was associated with higher lack of perseverance in subtype 1 but lower sensation seeking in subtype 2 at baseline/follow-up. Subtype 1 demonstrated thicker prefrontal and temporal cortices, and genes enriched in immune-related diseases and glutamatergic and GABAergic neurons. Subtype 1 exhibited cognitive deficits and a detrimental trajectory characterised by increasing emotional/behavioural dysregulations and suicide risks during follow-up. CONCLUSIONS Our results indicate impulsivity-dependent subtypes in preadolescent internalising disorders and unify past controversies about the anxiety-impulsivity interaction. Clinically, individuals with a high-impulsivity subtype exhibit a detrimental trajectory, thus early interventions are warranted.
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Affiliation(s)
- Huaxin Fan
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Zhaowen Liu
- School of Computer Science, Northwestern Polytechnical University, China
| | - Xinran Wu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Gechang Yu
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Xinrui Gu
- Sino-European School of Technology, Shanghai University, China
| | - Nanyu Kuang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Kai Zhang
- School of Computer Science and Technology, East China Normal University, Shanghai, China
| | - Yu Liu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Barbara J Sahakian
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK and Department of Psychiatry, University of Cambridge School of Clinical Medicine, UK
| | - Trevor W Robbins
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China; Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK and Department of Psychology, University of Cambridge, UK
| | - Gunter Schumann
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and PONS-Center, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Germany
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, China and Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Benjamin Becker
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
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Miller HE, Garnett EO, Heller Murray ES, Nieto-Castañón A, Tourville JA, Chang SE, Guenther FH. A comparison of structural morphometry in children and adults with persistent developmental stuttering. Brain Commun 2023; 5:fcad301. [PMID: 38025273 PMCID: PMC10653153 DOI: 10.1093/braincomms/fcad301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 10/07/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
This cross-sectional study aimed to differentiate earlier occurring neuroanatomical differences that may reflect core deficits in stuttering versus changes associated with a longer duration of stuttering by analysing structural morphometry in a large sample of children and adults who stutter and age-matched controls. Whole-brain T1-weighted structural scans were obtained from 166 individuals who stutter (74 children, 92 adults; ages 3-58) and 191 controls (92 children, 99 adults; ages 3-53) from eight prior studies in our laboratories. Mean size and gyrification measures were extracted using FreeSurfer software for each cortical region of interest. FreeSurfer software was also used to generate subcortical volumes for regions in the automatic subcortical segmentation. For cortical analyses, separate ANOVA analyses of size (surface area, cortical thickness) and gyrification (local gyrification index) measures were conducted to test for a main effect of diagnosis (stuttering, control) and the interaction of diagnosis-group with age-group (children, adults) across cortical regions. Cortical analyses were first conducted across a set of regions that comprise the speech network and then in a second whole-brain analysis. Next, separate ANOVA analyses of volume were conducted across subcortical regions in each hemisphere. False discovery rate corrections were applied for all analyses. Additionally, we tested for correlations between structural morphometry and stuttering severity. Analyses revealed thinner cortex in children who stutter compared with controls in several key speech-planning regions, with significant correlations between cortical thickness and stuttering severity. These differences in cortical size were not present in adults who stutter, who instead showed reduced gyrification in the right inferior frontal gyrus. Findings suggest that early cortical anomalies in key speech planning regions may be associated with stuttering onset. Persistent stuttering into adulthood may result from network-level dysfunction instead of focal differences in cortical morphometry. Adults who stutter may also have a more heterogeneous neural presentation than children who stutter due to their unique lived experiences.
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Affiliation(s)
- Hilary E Miller
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Emily O Garnett
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Elizabeth S Heller Murray
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
- Department of Communication Sciences & Disorders, Temple University, Philadelphia, PA 19122, USA
| | - Alfonso Nieto-Castañón
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Jason A Tourville
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Communication Disorders, Ewha Womans University, Seoul 03760, Korea
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI 48824, USA
| | - Frank H Guenther
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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25
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Schmitt A, Wollschläger R, Blanchette Sarrasin J, Masson S, Fischbach A, Schiltz C. Neuromyths and knowledge about intellectual giftedness in a highly educated multilingual country. Front Psychol 2023; 14:1252239. [PMID: 37928578 PMCID: PMC10623439 DOI: 10.3389/fpsyg.2023.1252239] [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: 07/03/2023] [Accepted: 09/28/2023] [Indexed: 11/07/2023] Open
Abstract
Introduction Understanding brain functioning and intellectual giftedness can be challenging and give rise to various misconceptions. Nonetheless, there seems to be a widespread fascination and appetite for these subjects among the lay public and diverse professionals. The present study is the first to investigate general knowledge about the brain, neuromyths and knowledge about giftedness in a highly multilingual and educated country. Methods Starting from and extending two seminal studies on neuromyths, several novel statements on intellectual giftedness have been included in order to explore knowledge and misconceptions concerning giftedness. Our sample (N = 200) was composed of Luxembourgish education professionals, including students in educational science and cognitive psychology, thus allowing to analyze responses in general and according to training and professional profiles. Specifically, Group 1 consisted of teachers and futures teachers (n = 152). Group 2 consisted of other education professionals and psychology students (n = 48). Results Despite the size and the unbalanced distribution of the sample, our findings indicate a good level of general knowledge about the brain and learning (71.3% of correct responses in average) which does, however, not preclude the presence of the typically observed original neuromyths. Thus, we replicate the classical finding that misconceptions on Learning Styles (70% of error rate) and the Multiple Intelligence Theory (71.5% of error rate) are the most represented, both in (future and in-service) teachers and other education professionals. Moreover, the present sample also revealed a high presence of misconceptions on intellectual giftedness. Discussion Limitations and future directions are discussed.
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Affiliation(s)
- Anna Schmitt
- Department of Behavioral and Cognitive Sciences, Cognitive Science and Assessment Institute, Faculty of Humanities, Education and Social Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- CRP-CPO, UR UPJV 7223, Université de Picardie Jules Verne, Amiens, France
| | - Rachel Wollschläger
- Luxembourg Centre for Educational Testing (LUCET), Faculty of Humanities, Education and Social Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Jérémie Blanchette Sarrasin
- Département de Didactique, Laboratory for Research in Neuroeducation, Université du Québec à Montréal, Montréal, QC, Canada
| | - Steve Masson
- Département de Didactique, Laboratory for Research in Neuroeducation, Université du Québec à Montréal, Montréal, QC, Canada
| | - Antoine Fischbach
- Luxembourg Centre for Educational Testing (LUCET), Faculty of Humanities, Education and Social Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Christine Schiltz
- Department of Behavioral and Cognitive Sciences, Cognitive Science and Assessment Institute, Faculty of Humanities, Education and Social Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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26
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Kirschner M, Paquola C, Khundrakpam BS, Vainik U, Bhutani N, Hodzic-Santor B, Georgiadis F, Al-Sharif NB, Misic B, Bernhardt BC, Evans AC, Dagher A. Schizophrenia Polygenic Risk During Typical Development Reflects Multiscale Cortical Organization. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:1083-1093. [PMID: 37881579 PMCID: PMC10593879 DOI: 10.1016/j.bpsgos.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/23/2022] [Accepted: 08/04/2022] [Indexed: 10/15/2022] Open
Abstract
Background Schizophrenia is widely recognized as a neurodevelopmental disorder. Abnormal cortical development in otherwise typically developing children and adolescents may be revealed using polygenic risk scores for schizophrenia (PRS-SCZ). Methods We assessed PRS-SCZ and cortical morphometry in typically developing children and adolescents (3-21 years, 46.8% female) using whole-genome genotyping and T1-weighted magnetic resonance imaging (n = 390) from the PING (Pediatric Imaging, Neurocognition, and Genetics) cohort. We contextualized the findings using 1) age-matched transcriptomics, 2) histologically defined cytoarchitectural types and functionally defined networks, and 3) case-control differences of schizophrenia and other major psychiatric disorders derived from meta-analytic data of 6 ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) working groups, including a total of 12,876 patients and 15,670 control participants. Results Higher PRS-SCZ was associated with greater cortical thickness, which was most prominent in areas with heightened gene expression of dendrites and synapses. PRS-SCZ-related increases in vertexwise cortical thickness were mainly distributed in association cortical areas, particularly the ventral attention network, while relatively sparing koniocortical type cortex (i.e., primary sensory areas). The large-scale pattern of cortical thickness increases related to PRS-SCZ mirrored the pattern of cortical thinning in schizophrenia and mood-related psychiatric disorders derived from the ENIGMA consortium. Age group models illustrate a possible trajectory from PRS-SCZ-associated cortical thickness increases in early childhood toward thinning in late adolescence, with the latter resembling the adult brain phenotype of schizophrenia. Conclusions Collectively, combining imaging genetics with multiscale mapping, our work provides novel insight into how genetic risk for schizophrenia affects the cortex early in life.
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Affiliation(s)
- Matthias Kirschner
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Casey Paquola
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
- Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany
| | | | - Uku Vainik
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
- Institute of Psychology, Faculty of Social Sciences, Tartu, Estonia
| | - Neha Bhutani
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | | | - Foivos Georgiadis
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
| | - Noor B. Al-Sharif
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Boris C. Bernhardt
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Alan C. Evans
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
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27
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McDermott CL, Lee J, Park AT, Tooley UA, Boroshok AL, Hilton K, Linn KA, Mupparapu M, Mackey AP. Developmental Correlates of Accelerated Molar Eruption in Early Childhood. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:847-854. [PMID: 37881542 PMCID: PMC10593886 DOI: 10.1016/j.bpsgos.2023.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 02/04/2023] [Accepted: 02/09/2023] [Indexed: 02/19/2023] Open
Abstract
Background Adversity has been linked to accelerated maturation. Molar eruption is a simple and scalable way to identify early maturation, but its developmental correlates remain unexplored. Thus, we examined whether accelerated maturation as indexed by molar eruption is associated with children's mental health or cognitive skills. Methods Molar eruption was evaluated from T2-weighted magnetic resonance imaging in 117 children (63 female; ages 4-7 years). Parents reported on child mental health with the Child Behavior Checklist. Children completed standardized assessments of fluid reasoning, working memory, processing speed, crystallized knowledge, and math performance. Relationships between molar eruption and developmental outcomes were examined using linear models, with age, gender, and stress risk as covariates. Results Earlier molar eruption was positively associated with children's externalizing symptoms (false discovery rate-corrected p [pFDR] = .027) but not internalizing symptoms, and the relationship with externalizing symptoms did not hold when controlling for stress risk. Earlier molar eruption was negatively associated with fluid reasoning (pFDR < .001), working memory (pFDR = .033), and crystallized knowledge (pFDR = .001). The association between molar eruption and both reasoning and crystallized knowledge held when controlling for stress risk. Molar eruption also partially mediated associations between stress risk and both reasoning (proportion mediated = 0.273, p = .004) and crystallized knowledge (proportion mediated = 0.126, p = .016). Conclusions Accelerated maturation, as reflected in early molar eruption, may have consequences for cognitive development, perhaps because it constrains brain plasticity. Knowing the pace of a child's maturation may provide insight into the impact of a child's stress history on their cognitive development.
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Affiliation(s)
- Cassidy L. McDermott
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Janet Lee
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Anne T. Park
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ursula A. Tooley
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Austin L. Boroshok
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Katherine Hilton
- School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kristin A. Linn
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Muralidhar Mupparapu
- School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Allyson P. Mackey
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania
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Merkley TL, Halter C, Graul B, Gale SD, Junge C, Reading M, Jarvis S, Greer K, Squires C, Bigler ED, Taylor HG, Vannatta K, Gerhardt CA, Rubin KH, Stancin T, Yeates KO, Cobia D. Regional Cortical Thickness Correlates of Intellectual Abilities Differ in Children With Traumatic Brain Injury Versus Those With Orthopedic Injury in the Chronic Post-Injury Phase. J Neurotrauma 2023; 40:2063-2072. [PMID: 37294204 PMCID: PMC10623066 DOI: 10.1089/neu.2022.0524] [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] [Indexed: 06/10/2023] Open
Abstract
A decline in intellectual functioning (intelligence quotient [IQ]) is often observed following more severe forms of traumatic brain injury (TBI) and is a useful index for long-term outcome. Identifying brain correlates of IQ can serve to inform developmental trajectories of behavior in this population. Using magnetic resonance imaging (MRI), we examined the relationship between intellectual abilities and patterns of cortical thickness in children with a history of TBI or with orthopedic injury (OI) in the chronic phase of injury recovery. Participants were 47 children with OI and 58 children with TBI, with TBI severity ranging from complicated-mild to severe. Ages ranged from 8 to 14 years old, with an average age of 10.47 years, and an injury-to-test range of ∼1-5 years. The groups did not differ in age or sex. The intellectual ability estimate (full-scale [FS]IQ-2) was derived from a two-form (Vocabulary and Matrix Reasoning subtests) Wechsler Abbreviated Scale of Intelligence (WASI). MRI data were processed using the FreeSurfer toolkit and harmonized across data collection sites using neuroComBat procedures, while holding demographic features (i.e., sex, socioeconomic status [SES]), TBI status, and FSIQ-2 constant. Separate general linear models per group (TBI and OI) and a single interaction model with all participants were conducted with all significant results withstanding correction for multiple comparisons via permutation testing. Intellectual ability was higher (p < 0.001) in the OI group (FSIQ-2 = 110.81) than in the TBI group (FSIQ-2 = 99.81). In children with OI, bi-hemispheric regions, including the right pre-central gyrus and precuneus and bilateral inferior temporal and left occipital areas were related to IQ, such that higher IQ was associated with thicker cortex in these regions. In contrast, only cortical thickness in the right pre-central gyrus and bilateral cuneus positively related to IQ in children with TBI. Significant interaction effects were found in the bilateral temporal, parietal, and occipital lobes and left frontal regions, indicating that the relationship between IQ and cortical thickness differed between groups in these regions. Changes in cortical associations with IQ after TBI may reflect direct injury effects and/or adaptation in cortical structure and intellectual functioning, particularly in the bilateral posterior parietal and inferior temporal regions. This suggests that the substrates of intellectual ability are particularly susceptible to acquired injury in the integrative association cortex. Longitudinal work is needed to account for normal developmental changes and to investigate how cortical thickness and intellectual functioning and their association change over time following TBI. Improved understanding of how TBI-related cortical thickness alterations relate to cognitive outcome could lead to improved predictions of outcome following brain injury.
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Affiliation(s)
- Tricia L. Merkley
- Department of Psychology and Brigham Young University, Provo, Utah, USA
- Neuroscience Center, Brigham Young University, Provo, Utah, USA
| | - Colt Halter
- Department of Psychology and Brigham Young University, Provo, Utah, USA
| | - Benjamin Graul
- Neuroscience Center, Brigham Young University, Provo, Utah, USA
| | - Shawn D. Gale
- Department of Psychology and Brigham Young University, Provo, Utah, USA
- Neuroscience Center, Brigham Young University, Provo, Utah, USA
| | - Chase Junge
- Neuroscience Center, Brigham Young University, Provo, Utah, USA
| | - Madeleine Reading
- Department of Psychology and Brigham Young University, Provo, Utah, USA
| | - Sierra Jarvis
- Department of Psychology and Brigham Young University, Provo, Utah, USA
| | - Kaitlyn Greer
- Department of Psychology and Brigham Young University, Provo, Utah, USA
| | - Chad Squires
- Department of Psychology and Brigham Young University, Provo, Utah, USA
| | - Erin D. Bigler
- Department of Psychology and Brigham Young University, Provo, Utah, USA
- Neuroscience Center, Brigham Young University, Provo, Utah, USA
| | - H. Gerry Taylor
- Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Kathryn Vannatta
- Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Departments of Pediatrics and Psychology, The Ohio State University, Columbus, Ohio, USA
| | - Cynthia A. Gerhardt
- Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA
- Departments of Pediatrics and Psychology, The Ohio State University, Columbus, Ohio, USA
| | - Kenneth H. Rubin
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, USA
| | - Terry Stancin
- MetroHealth System, Case Western Reserve University, Cleveland, Ohio, USA
| | - Keith Owen Yeates
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Derin Cobia
- Department of Psychology and Brigham Young University, Provo, Utah, USA
- Neuroscience Center, Brigham Young University, Provo, Utah, USA
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29
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Li L, Jiang J, Wu B, Lin J, Roberts N, Sweeney JA, Gong Q, Jia Z. Distinct gray matter abnormalities in children/adolescents and adults with history of childhood maltreatment. Neurosci Biobehav Rev 2023; 153:105376. [PMID: 37643682 DOI: 10.1016/j.neubiorev.2023.105376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 07/20/2023] [Accepted: 08/24/2023] [Indexed: 08/31/2023]
Abstract
Gray matter (GM) abnormalities have been reported in both adults and children/adolescents with histories of childhood maltreatment (CM). A comparison of effects in youth and adulthood may be informative regarding life-span effects of CM. Voxel-wise meta-analyses of whole-brain voxel-based morphometry studies were conducted in all datasets and age-based subgroups respectively, followed by a quantitative comparison of the subgroups. Thirty VBM studies (31 datasets) were included. The pooled meta-analysis revealed increased GM in left supplementary motor area, and reduced GM in bilateral cingulate/paracingulate gyri, left occipital lobe, and right middle frontal gyrus in maltreated individuals compared to the controls. Maltreatment-exposed youth showed less GM in the cerebellum, and greater GM in bilateral middle cingulate/paracingulate gyri and bilateral visual cortex than maltreated adults. Opposite GM alterations in bilateral middle cingulate/paracingulate gyri were found in maltreatment-exposed adults (decreased) and children/adolescents (increased). Our findings demonstrate different patterns of GM changes in youth closer to maltreatment events than those seen later in life, suggesting detrimental effects of CM on the developmental trajectory of brain structure.
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Affiliation(s)
- Lei Li
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Jing Jiang
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, China; Department of Radiology, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China
| | - Baolin Wu
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Jinping Lin
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Neil Roberts
- The Queens Medical Research Institute (QMRI), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH 45219, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China.
| | - Zhiyun Jia
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, China; Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China.
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30
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Shi R, Xiang S, Jia T, Robbins TW, Kang J, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Lin X, Sahakian BJ, Feng J. Structural neurodevelopment at the individual level - a life-course investigation using ABCD, IMAGEN and UK Biobank data. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.20.23295841. [PMID: 37790416 PMCID: PMC10543061 DOI: 10.1101/2023.09.20.23295841] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Adolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages and the neurobiological basis underlying individual heterogeneity remains poorly understood. Using structural magnetic resonance imaging from the IMAGEN cohort (n=1,543), we show that adolescents can be clustered into three groups defined by distinct developmental patterns of whole-brain gray matter volume (GMV). Genetic and epigenetic determinants of group clustering and long-term impacts of neurodevelopment in mid-to-late adulthood were investigated using data from the ABCD, IMAGEN and UK Biobank cohorts. Group 1, characterized by continuously decreasing GMV, showed generally the best neurocognitive performances during adolescence. Compared to Group 1, Group 2 exhibited a slower rate of GMV decrease and worsened neurocognitive development, which was associated with epigenetic changes and greater environmental burden. Further, Group 3 showed increasing GMV and delayed neurocognitive development during adolescence due to a genetic variation, while these disadvantages were attenuated in mid-to-late adulthood. In summary, our study revealed novel clusters of adolescent structural neurodevelopment and suggested that genetically-predicted delayed neurodevelopment has limited long-term effects on mental well-being and socio-economic outcomes later in life. Our results could inform future research on policy interventions aimed at reducing the financial and emotional burden of mental illness.
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Fortea A, van Eijndhoven P, Calvet-Mirabent A, Ilzarbe D, Batalla A, de la Serna E, Puig O, Castro-Fornieles J, Dolz M, Tor J, Parrilla S, Via E, Stephan-Otto C, Baeza I, Sugranyes G. Age-related change in cortical thickness in adolescents at clinical high risk for psychosis: a longitudinal study. Eur Child Adolesc Psychiatry 2023:10.1007/s00787-023-02278-6. [PMID: 37644217 DOI: 10.1007/s00787-023-02278-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/03/2023] [Indexed: 08/31/2023]
Abstract
Progression to psychosis has been associated with increased cortical thinning in the frontal, temporal and parietal lobes in individuals at clinical high risk for the disorder (CHR-P). The timing and spatial extent of these changes are thought to be influenced by age. However, most evidence so far stems from adult samples. Longitudinal studies are essential to understanding the neuroanatomical changes associated to transition to psychosis during adolescence, and their relationship with age. We conducted a longitudinal, multisite study including adolescents at CHR-P and healthy controls (HC), aged 10-17 years. Structural images were acquired at baseline and at 18-month follow-up. Images were processed with the longitudinal pipeline in FreeSurfer. We used a longitudinal two-stage model to compute the regional cortical thickness (CT) change, and analyze between-group differences controlling for age, sex and scan, and corrected for multiple comparisons. Linear regression was used to study the effect of age at baseline. A total of 103 individuals (49 CHR-P and 54 HC) were included in the analysis. During follow-up, the 13 CHR-P participants who transitioned to psychosis exhibited greater CT decrease over time in the right parietal cortex compared to those who did not transition to psychosis and to HC. Age at baseline correlated with longitudinal changes in CT, with younger individuals showing greater cortical thinning in this region. The emergence of psychosis during early adolescence may have an impact on typical neuromaturational processes. This study provides new insights on the cortical changes taking place prior to illness onset.
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Affiliation(s)
- Adriana Fortea
- Psychiatry and Psychology Department, Institute Clinic of Neurosciences, Hospital Clínic of Barcelona, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Fundació Clínic per a la Recerca Biomèdica (FCRB), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
| | - Philip van Eijndhoven
- Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain Cognition and Behavior, Nijmegen, The Netherlands
| | - Angels Calvet-Mirabent
- Institut d'Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), C/Rosselló 149-153, 08036, Barcelona, Spain
| | - Daniel Ilzarbe
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
- Institut d'Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), C/Rosselló 149-153, 08036, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute Clinic of Neurosciences, Hospital Clínic of Barcelona, C/Villarroel 170, 08036, Barcelona, Spain
| | - Albert Batalla
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Elena de la Serna
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute Clinic of Neurosciences, Hospital Clínic of Barcelona, C/Villarroel 170, 08036, Barcelona, Spain
| | - Olga Puig
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute Clinic of Neurosciences, Hospital Clínic of Barcelona, C/Villarroel 170, 08036, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
- Institut d'Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), C/Rosselló 149-153, 08036, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute Clinic of Neurosciences, Hospital Clínic of Barcelona, C/Villarroel 170, 08036, Barcelona, Spain
| | - Montserrat Dolz
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Jordina Tor
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Sara Parrilla
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Esther Via
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Christian Stephan-Otto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
- Pediatric Computational Imaging Group (PeCIC), Hospital Sant Joan de Déu, Barcelona, Spain
| | - Inmaculada Baeza
- Department of Medicine, University of Barcelona, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain.
- Institut d'Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), C/Rosselló 149-153, 08036, Barcelona, Spain.
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute Clinic of Neurosciences, Hospital Clínic of Barcelona, C/Villarroel 170, 08036, Barcelona, Spain.
| | - Gisela Sugranyes
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain.
- Institut d'Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), C/Rosselló 149-153, 08036, Barcelona, Spain.
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute Clinic of Neurosciences, Hospital Clínic of Barcelona, C/Villarroel 170, 08036, Barcelona, Spain.
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POLAT TERECE S, YAPAR D, ERTOY KARAGÖL Hİ, KÖKEN G, TEKER DÜZTAŞ D, EĞRİTAŞ GÜRKAN Ö, SARI S, DALGIÇ B, BAKIRTAŞ A. Is the Pediatric Eosinophilic Esophagitis Symptom Score v2.0 reliable for telemedicine? Turk J Med Sci 2023; 53:859-864. [PMID: 38031952 PMCID: PMC10760582 DOI: 10.55730/1300-0144.5649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 08/18/2023] [Accepted: 05/25/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Eosinophilic esophagitis (EoE) is a chronic immune-mediated disease. Telemedicine is a healthcare technology used when a patient is separated by distance. The reliability of the Pediatric Eosinophilic Esophagitis Symptom Score, version 2.0 (PEESS v2.0) for telemedicine applications, has not been studied yet. Therefore, we aimed to evaluate the reliability of PEESS v2.0 for telemedicine. METHODS We sent a telesurvey using questionnaires via electronic telecommunication as the telemedicine method. Children with EoE and their parents were asked to complete PEESS v2.0 with the telesurvey method (unsynchronized with the physician) and attend in-person visits one week apart. Intraclass correlation (ICC), Wilcoxon, and Bland-Altman tests were used as reliability analyses. Reliability was defined as a strong agreement between the measurements in ICC ≥ 0.8 and a p-value of ≤0.05 and no statistically significant difference between the scores of the two methods in the Wilcoxon and Bland-Altman analyses, i.e. a p-value of >0.05. RESULTS The total scores of children and parents were higher in in-person visits than in the telesurvey (Wilcoxon tests, p ≤ 0.05). Bland- Altman analysis showed that the mean difference in total scores between the two methods was significant for both children and parents (p ≤ 0.05). ICC levels for the children and parent scores for the entire group ranged from 0.595 to 0.763 (moderate agreement). DISCUSSION Unsynchronized telesurvey use of PEESS v2.0 is unreliable both for children and parents. We suggest testing the reliability of chosen telemedicine methods before using them in clinical and research practice.
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Affiliation(s)
- Sinem POLAT TERECE
- Division of Pediatric Allergy, Department of Pediatrics, Faculty of Medicine, Gazi University, Ankara,
Turkiye
| | - Dilek YAPAR
- Muratpaşa District Health Directorate, Antalya,
Turkiye
| | - Hacer İlbilge ERTOY KARAGÖL
- Division of Pediatric Allergy, Department of Pediatrics, Faculty of Medicine, Gazi University, Ankara,
Turkiye
| | - Gizem KÖKEN
- Division of Pediatric Allergy, Department of Pediatrics, Faculty of Medicine, Gazi University, Ankara,
Turkiye
| | - Demet TEKER DÜZTAŞ
- Division of Pediatric Gastroenterology, Department of Pediatrics, Faculty of Medicine, Gazi University, Ankara,
Turkiye
| | - Ödül EĞRİTAŞ GÜRKAN
- Division of Pediatric Gastroenterology, Department of Pediatrics, Faculty of Medicine, Gazi University, Ankara,
Turkiye
| | - Sinan SARI
- Division of Pediatric Gastroenterology, Department of Pediatrics, Faculty of Medicine, Gazi University, Ankara,
Turkiye
| | - Buket DALGIÇ
- Division of Pediatric Gastroenterology, Department of Pediatrics, Faculty of Medicine, Gazi University, Ankara,
Turkiye
| | - Arzu BAKIRTAŞ
- Division of Pediatric Allergy, Department of Pediatrics, Faculty of Medicine, Gazi University, Ankara,
Turkiye
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Latrèche C, Maeder J, Mancini V, Bortolin K, Schneider M, Eliez S. Altered developmental trajectories of verbal learning skills in 22q11.2DS: associations with hippocampal development and psychosis. Psychol Med 2023; 53:4923-4932. [PMID: 35775360 PMCID: PMC10476015 DOI: 10.1017/s0033291722001842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 03/02/2022] [Accepted: 05/31/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND The cognitive profile in 22q11.2 deletion syndrome (22q11.2DS) is often characterized by a discrepancy between nonverbal vs. verbal reasoning skills, in favor of the latter skills. This dissociation has also been observed in memory, with verbal learning skills described as a relative strength. Yet the development of these skills is still to be investigated. We thus aimed to explore verbal learning longitudinally. Furthermore, we explored verbal learning and its respective associations with hippocampal alterations and psychosis, which remain largely unknown despite their high prevalence in 22q11.2DS. METHODS In total, 332 individuals (173 with 22q11.2DS) aged 5-30 years completed a verbal-paired associates task. Mixed-models regression analyses were conducted to explore developmental trajectories with threefold objectives. First, verbal learning and retention trajectories were compared between 22q11.2DS vs. HC. Second, we examined hippocampal volume development in 22q11.2DS participants with lower vs. higher verbal learning performance. Third, we explored verbal learning trajectories in 22q11.2DS participants with vs. without positive psychotic symptoms and with vs. without a psychotic spectrum disorder (PSD). RESULTS Our findings first reveal lower verbal learning performance in 22q11.2DS, with a developmental plateau emerging from adolescence. Second, participants with lower verbal learning scores displayed a reduced left hippocampal tail volume. Third, participants with PSD showed a deterioration of verbal learning performance, independently of verbal reasoning skills. CONCLUSION Our study challenges the current view of preserved verbal learning skills in 22q11.2DS and highlights associations with specific hippocampal alterations. We further identify verbal learning as a novel cognitive marker for psychosis in 22q11.2DS.
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Affiliation(s)
- Caren Latrèche
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
| | - Johanna Maeder
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
| | - Valentina Mancini
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
| | - Karin Bortolin
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
- Medical Image Processing Lab, Institute of Bioengineering, EPFL, Lausanne, Switzerland
| | - Maude Schneider
- Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Department of Neurosciences, KU Leuven, Center for Contextual Psychiatry, Leuven, Belgium
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
- Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland
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Ren X, Libertus ME. Identifying the Neural Bases of Math Competence Based on Structural and Functional Properties of the Human Brain. J Cogn Neurosci 2023; 35:1212-1228. [PMID: 37172121 DOI: 10.1162/jocn_a_02008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Human populations show large individual differences in math performance and math learning abilities. Early math skill acquisition is critical for providing the foundation for higher quantitative skill acquisition and succeeding in modern society. However, the neural bases underlying individual differences in math competence remain unclear. Modern neuroimaging techniques allow us to not only identify distinct local cortical regions but also investigate large-scale neural networks underlying math competence both structurally and functionally. To gain insights into the neural bases of math competence, this review provides an overview of the structural and functional neural markers for math competence in both typical and atypical populations of children and adults. Although including discussion of arithmetic skills in children, this review primarily focuses on the neural markers associated with complex math skills. Basic number comprehension and number comparison skills are outside the scope of this review. By synthesizing current research findings, we conclude that neural markers related to math competence are not confined to one particular region; rather, they are characterized by a distributed and interconnected network of regions across the brain, primarily focused on frontal and parietal cortices. Given that human brain is a complex network organized to minimize the cost of information processing, an efficient brain is capable of integrating information from different regions and coordinating the activity of various brain regions in a manner that maximizes the overall efficiency of the network to achieve the goal. We end by proposing that frontoparietal network efficiency is critical for math competence, which enables the recruitment of task-relevant neural resources and the engagement of distributed neural circuits in a goal-oriented manner. Thus, it will be important for future studies to not only examine brain activation patterns of discrete regions but also examine distributed network patterns across the brain, both structurally and functionally.
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Jensen D, Chen J, Turner JA, Stephen JM, Wang YP, Wilson TW, Calhoun VD, Liu J. Epigenetic associations with adolescent grey matter maturation and cognitive development. Front Genet 2023; 14:1222619. [PMID: 37529779 PMCID: PMC10390095 DOI: 10.3389/fgene.2023.1222619] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 06/30/2023] [Indexed: 08/03/2023] Open
Abstract
Introduction: Adolescence, a critical phase of human neurodevelopment, is marked by a tremendous reorganization of the brain and accompanied by improved cognitive performance. This development is driven in part by gene expression, which in turn is partly regulated by DNA methylation (DNAm). Methods: We collected brain imaging, cognitive assessments, and DNAm in a longitudinal cohort of approximately 200 typically developing participants, aged 9-14. This data, from three time points roughly 1 year apart, was used to explore the relationships between seven cytosine-phosphate-guanine (CpG) sites in genes highly expressed in brain tissues (GRIN2D, GABRB3, KCNC1, SLC12A9, CHD5, STXBP5, and NFASC), seven networks of grey matter (GM) volume change, and scores from seven cognitive tests. Results: The demethylation of the CpGs as well as the rates of change in DNAm were significantly related to improvements in total, crystalized, and fluid cognition scores, executive function, episodic memory, and processing speed, as well as several networks of GM volume increases and decreases that highlight typical patterns of brain maturation. Discussion: Our study provides a first look at the DNAm of genes involved in myelination, excitatory and inhibitory receptors, and connectivity, how they are related to the large-scale changes occurring in the brain structure as well as cognition during adolescence.
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Affiliation(s)
- Dawn Jensen
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
- Neuroscience Institute, Georgia State University, Atlanta, GA, United States
| | - Jiayu Chen
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Jessica A. Turner
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
- Wexnar Medical Center, Department of Psychiatry and Behavioral Health, Ohio State University, Columbus, OH, United States
| | | | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, United States
| | - Tony W. Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, United States
| | - Vince D. Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
- Neuroscience Institute, Georgia State University, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
- The Mind Research Network, Albuquerque, NM, United States
- Psychology Department and Neuroscience Institute, Georgia State University, Atlanta, GA, United States
| | - Jingyu Liu
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
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Li Y, Zhou F, Li R, Gu J, He J. Exploring the correlation between genetic transcription and multi-temporal developmental autism spectrum disorder using resting-state functional magnetic resonance imaging. Front Neurosci 2023; 17:1219753. [PMID: 37456995 PMCID: PMC10339831 DOI: 10.3389/fnins.2023.1219753] [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: 05/09/2023] [Accepted: 05/30/2023] [Indexed: 07/18/2023] Open
Abstract
Introduction The present investigation aimed to explore the neurodevelopmental trajectory of autism spectrum disorder (ASD) by identifying the changes in brain function and gene expression associated with the disorder. Previous studies have indicated that ASD is a highly inherited neurodevelopmental disorder of the brain that displays symptom heterogeneity across different developmental periods. However, the transcriptomic changes underlying these developmental differences remain largely unknown. Methods To address this gap in knowledge, our study employed resting-state functional magnetic resonance imaging (rs-fMRI) data from a large sample of male participants across four representative age groups to stratify the abnormal changes in brain function associated with ASD. Partial least square regression (PLSr) was utilized to identify unique changes in gene expression in brain regions characterized by aberrant functioning in ASD. Results Our results revealed that ASD exhibits distinctive developmental trajectories in crucial brain regions such as the default mode network (DMN), temporal lobe, and prefrontal lobes during critical periods of neurodevelopment when compared to the control group. These changes were also associated with genes primarily located in synaptic tissues. Discussion The findings of this study suggest that the neurobiology of ASD is uniquely heterogeneous across different ages and may be accompanied by distinct molecular mechanisms related to gene expression.
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Alipour V, Shojaei A, Rezaei M, Mirnajafi-Zadeh J, Azizi H. Intergenerational consequences of adolescent morphine exposure on learning and memory. Neurosci Lett 2023; 808:137303. [PMID: 37196975 DOI: 10.1016/j.neulet.2023.137303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 04/01/2023] [Accepted: 05/14/2023] [Indexed: 05/19/2023]
Abstract
Drug addiction is a worldwide social and medical disorder. More than 50 percent of drug abusers start their substance abuse in adolescence between the ages of 15-19. Adolescence is a sensitive and crucial period for the development and maturity of the brain. Chronic exposure to morphine, particularly during this period, lead to long-lasting effects, including effects that extend to the next generation. The current study examined the intergenerational effects of paternal morphine exposure during adolescence on learning and memory. In this study, male Wistar rats were exposed to increasing doses of morphine (5-25 mg/kg, s.c.) or saline for 10 days at postnatal days (PND) 30-39 during adolescence. Following a 20-day drug-free period, the treated male rats were mated with naïve females. Adult male offspring (PND 60-80) were tested for working memory, novel object recognition memory, spatial memory, and passive avoidance memory using the Y-Maze, novel object recognition, Morris water maze, and shuttle box tests, respectively. The spontaneous alternation (as measured in the Y-Maze test) was significantly less in the morphine-sired group compared to the saline-sired one. The offspring showed significantly less discrimination index in the novel object recognition test when compared to the control group. Morphine-sired offspring tended to spend significantly more time in the target quadrant and less escape latency in the Morris water maze on probe day when compared to the saline-sired ones. The offspring showed significantly less step-through latency to enter the dark compartment compared to the control group when measured in the shuttle box test. Paternal exposure to morphine during adolescence impaired working, novel object recognition, and passive avoidance memory in male offspring. Spatial memory changed in the morphine-sired group compared to the saline-sired one.
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Affiliation(s)
- Vida Alipour
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Amir Shojaei
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran; Institute for Brain Sciences and Cognition, Tarbiat Modares University, Tehran, Iran
| | - Mahmoud Rezaei
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Javad Mirnajafi-Zadeh
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran; Institute for Brain Sciences and Cognition, Tarbiat Modares University, Tehran, Iran
| | - Hossein Azizi
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran; Institute for Brain Sciences and Cognition, Tarbiat Modares University, Tehran, Iran.
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Ahmed S, Cano MÁ, Sánchez M, Hu N, Ibañez G. Effect of exposure to maternal diabetes during pregnancy on offspring's brain cortical thickness and neurocognitive functioning. Child Neuropsychol 2023; 29:588-606. [PMID: 35867480 PMCID: PMC9867783 DOI: 10.1080/09297049.2022.2103105] [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] [Indexed: 01/27/2023]
Abstract
Little is known about the long-term effects of maternal diabetes during pregnancy (DP), either gestational diabetes or preexisting diabetes (type 1 or type 2), on offspring's brain morphometry and neurocognitive functioning (NCF). This study examined the effect of prenatal exposure to maternal DP on the brain structure and NCF in children between 9 and 10 years of age. This study used cross-sectional neuroimaging and NCF data from the baseline wave of the Adolescent Brain and Cognitive Development® study. Exposure to maternal DP was assigned from the developmental history questionnaire. Differences in the brain cortical thickness (CTh) and five cognitive abilities (executive function, working and episodic memory, processing speed, and language abilities) were examined in diabetes-exposed and diabetes-unexposed children. Linear mixed effect models and generalized linear models were used to adjust for the effect of confounding variables. A total of 9,967 children (718 diabetes-exposed and 9249 unexposed) were included in the analysis. Diabetes-exposed children had lower whole-brain CTh [mean: exposed vs unexposed = 2.725 mm vs 2.732 mm; difference (95%CI): -0.007 mm (-0.013, -0.001)] compared to unexposed children after adjusting for confounding variables. Diabetes-exposed children had lower CTh in most part of the occipital lobe of both hemispheres, right postcentral gyrus, and left superior parietal cortex. Diabetes-exposed children also had lower scores in processing speed task [mean difference (95%CI): -1.7 (-2.8, -0.6)] and total cognition [mean difference (95%CI): -0.6 (-1.2, -0.02)]. Diabetes-exposed children have reduced CTh and NCF during preadolescence, which might have implications for psychomotor development during later life. Prospective studies are needed to confirm our findings.
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Affiliation(s)
- Shyfuddin Ahmed
- Corresponding author: Shyfuddin Ahmed, Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, AHC-5 (level 4), Miami, Florida 33199, (786) 461-5574,
| | - Miguel Ángel Cano
- Corresponding author: Shyfuddin Ahmed, Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, AHC-5 (level 4), Miami, Florida 33199, (786) 461-5574,
| | - Mariana Sánchez
- Corresponding author: Shyfuddin Ahmed, Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, AHC-5 (level 4), Miami, Florida 33199, (786) 461-5574,
| | - Nan Hu
- Corresponding author: Shyfuddin Ahmed, Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, AHC-5 (level 4), Miami, Florida 33199, (786) 461-5574,
| | - Gladys Ibañez
- Corresponding author: Shyfuddin Ahmed, Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th Street, AHC-5 (level 4), Miami, Florida 33199, (786) 461-5574,
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Kaltenhauser S, Weber CF, Lin H, Mozayan A, Malhotra A, Constable RT, Acosta JN, Falcone GJ, Taylor SN, Ment LR, Sheth KN, Payabvash S. Association of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018. JAMA Netw Open 2023; 6:e2314193. [PMID: 37200030 PMCID: PMC10196880 DOI: 10.1001/jamanetworkopen.2023.14193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 04/06/2023] [Indexed: 05/19/2023] Open
Abstract
Importance Aside from widely known cardiovascular implications, higher weight in children may have negative associations with brain microstructure and neurodevelopment. Objective To evaluate the association of body mass index (BMI) and waist circumference with imaging metrics that approximate brain health. Design, Setting, and Participants This cross-sectional study used data from the Adolescent Brain Cognitive Development (ABCD) study to examine the association of BMI and waist circumference with multimodal neuroimaging metrics of brain health in cross-sectional and longitudinal analyses over 2 years. From 2016 to 2018, the multicenter ABCD study recruited more than 11 000 demographically representative children aged 9 to 10 years in the US. Children without any history of neurodevelopmental or psychiatric disorders were included in this study, and a subsample of children who completed 2-year follow-up (34%) was included for longitudinal analysis. Exposures Children's weight, height, waist circumference, age, sex, race and ethnicity, socioeconomic status, handedness, puberty status, and magnetic resonance imaging scanner device were retrieved and included in the analysis. Main Outcomes and Measures Association of preadolescents' BMI z scores and waist circumference with neuroimaging indicators of brain health: cortical morphometry, resting-state functional connectivity, and white matter microstructure and cytostructure. Results A total of 4576 children (2208 [48.3%] female) at a mean (SD) age of 10.0 years (7.6 months) were included in the baseline cross-sectional analysis. There were 609 (13.3%) Black, 925 (20.2%) Hispanic, and 2565 (56.1%) White participants. Of those, 1567 had complete 2-year clinical and imaging information at a mean (SD) age of 12.0 years (7.7 months). In cross-sectional analyses at both time points, higher BMI and waist circumference were associated with lower microstructural integrity and neurite density, most pronounced in the corpus callosum (fractional anisotropy for BMI and waist circumference at baseline and second year: P < .001; neurite density for BMI at baseline: P < .001; neurite density for waist circumference at baseline: P = .09; neurite density for BMI at second year: P = .002; neurite density for waist circumference at second year: P = .05), reduced functional connectivity in reward- and control-related networks (eg, within the salience network for BMI and waist circumference at baseline and second year: P < .002), and thinner brain cortex (eg, for the right rostral middle frontal for BMI and waist circumference at baseline and second year: P < .001). In longitudinal analysis, higher baseline BMI was most strongly associated with decelerated interval development of the prefrontal cortex (left rostral middle frontal: P = .003) and microstructure and cytostructure of the corpus callosum (fractional anisotropy: P = .01; neurite density: P = .02). Conclusions and Relevance In this cross-sectional study, higher BMI and waist circumference among children aged 9 to 10 years were associated with imaging metrics of poorer brain structure and connectivity as well as hindered interval development. Future follow-up data from the ABCD study can reveal long-term neurocognitive implications of excess childhood weight. Imaging metrics that had the strongest association with BMI and waist circumference in this population-level analysis may serve as target biomarkers of brain integrity in future treatment trials of childhood obesity.
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Affiliation(s)
- Simone Kaltenhauser
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
- University of Regensburg, Regensburg, Germany
| | - Clara F. Weber
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Huang Lin
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Ali Mozayan
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Ajay Malhotra
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - R. Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Julián N. Acosta
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Guido J. Falcone
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Sarah N. Taylor
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
| | - Laura R. Ment
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
| | - Kevin N. Sheth
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Seyedmehdi Payabvash
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
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Arcury TA, Chen H, Quandt SA, Talton JW, Anderson KA, Scott RP, Summers P, Laurienti PJ. Pesticide Exposure among Latinx Children in Rural Farmworker and Urban Non-Farmworker Communities: Associations with Locality and Season. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20095647. [PMID: 37174167 PMCID: PMC10178580 DOI: 10.3390/ijerph20095647] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/11/2023] [Accepted: 04/23/2023] [Indexed: 05/15/2023]
Abstract
This study uses repeated measures to document the pesticide exposure of rural and urban Latinx children (age eight at baseline), and to compare these children in terms of the frequency and concentration of their exposure to a large set of pesticides, accounting for season. We used silicone wristbands worn for one week up to ten times at quarterly intervals from 2018 to 2022 to assess pesticide exposure in children from rural farmworker (n = 75) and urban non-farmworker (n = 61) families. We determined the detection and concentrations (ng/g) of 72 pesticides and pesticide degradation products in the wristbands using gas chromatography electron capture detection and gas chromatography mass spectrometry. The most frequently detected pesticide classes were organochlorines, pyrethroids, and organophosphates. Controlling for season, organochlorine or phenylpyrazole detections were less likely for rural children than for urban children. Detections of organochlorines, pyrethroids, or organophosphates were lower in spring and summer versus winter. Controlling for season, urban children had greater concentrations of organochlorines, while rural children had greater concentrations of pyrethroids and Chlorpyrifos. Pesticide concentrations were lower in winter and spring compared with summer and fall. These results further document that pesticides are ubiquitous in the living environment for children in vulnerable, immigrant communities.
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Affiliation(s)
- Thomas A Arcury
- Department of Family and Community Medicine, and Center for Worker Health, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Haiying Chen
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Sara A Quandt
- Department of Epidemiology and Prevention, Division of Public Health Sciences, and Center for Worker Health, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Jennifer W Talton
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Kim A Anderson
- Department of Environmental and Molecular Toxicology, Oregon State University, 2750 SW Campus Way, Corvallis, OR 97331, USA
| | - Richard P Scott
- Department of Environmental and Molecular Toxicology, Oregon State University, 2750 SW Campus Way, Corvallis, OR 97331, USA
| | - Phillip Summers
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Paul J Laurienti
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
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41
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Mo Z, Grennan G, Kulkarni A, Ramanathan D, Balasubramani PP, Mishra J. Parietal alpha underlies slower cognitive responses during interference processing in adolescents. Behav Brain Res 2023; 443:114356. [PMID: 36801472 DOI: 10.1016/j.bbr.2023.114356] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 02/03/2023] [Accepted: 02/17/2023] [Indexed: 02/21/2023]
Abstract
Adolescence is a critical period when cognitive control is rapidly maturing across several core dimensions. Here, we evaluated how healthy adolescents (13-17 years of age, n = 44) versus young adults (18-25 years of age, n = 49) differ across a series of cognitive assessments with simultaneous electroencephalography (EEG) recordings. Cognitive tasks included selective attention, inhibitory control, working memory, as well as both non-emotional and emotional interference processing. We found that adolescents displayed significantly slower responses than young adults specifically on the interference processing tasks. Evaluation of EEG event-related spectral perturbations (ERSPs) on the interference tasks showed that adolescents consistently had greater event-related desynchronization in alpha/beta frequencies in parietal regions. Midline frontal theta activity was also greater in the flanker interference task in adolescents, suggesting greater cognitive effort. Parietal alpha activity predicted age-related speed differences during non-emotional flanker interference processing, and frontoparietal connectivity, specifically midfrontal theta - parietal alpha functional connectivity predicted speed effects during emotional interference. Overall, our neuro-cognitive results illustrate developing cognitive control in adolescents particularly for interference processing, predicted by differential alpha band activity and connectivity in parietal brain regions.
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Affiliation(s)
- Zihao Mo
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Gillian Grennan
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Atharv Kulkarni
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Dhakshin Ramanathan
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Department of Mental Health, VA San Diego Medical Center, San Diego, CA, USA
| | | | - Jyoti Mishra
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
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Willbrand EH, Ferrer E, Bunge SA, Weiner KS. Development of Human Lateral Prefrontal Sulcal Morphology and Its Relation to Reasoning Performance. J Neurosci 2023; 43:2552-2567. [PMID: 36828638 PMCID: PMC10082454 DOI: 10.1523/jneurosci.1745-22.2023] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/25/2023] [Accepted: 02/01/2023] [Indexed: 02/26/2023] Open
Abstract
Previous findings show that the morphology of folds (sulci) of the human cerebral cortex flatten during postnatal development. However, previous studies did not consider the relationship between sulcal morphology and cognitive development in individual participants. Here, we fill this gap in knowledge by leveraging cross-sectional morphologic neuroimaging data in the lateral PFC (LPFC) from individual human participants (6-36 years old, males and females; N = 108; 3672 sulci), as well as longitudinal morphologic and behavioral data from a subset of child and adolescent participants scanned at two time points (6-18 years old; N = 44; 2992 sulci). Manually defining thousands of sulci revealed that LPFC sulcal morphology (depth, surface area, and gray matter thickness) differed between children (6-11 years old)/adolescents (11-18 years old) and young adults (22-36 years old) cross-sectionally, but only cortical thickness showed differences across childhood and adolescence and presented longitudinal changes during childhood and adolescence. Furthermore, a data-driven approach relating morphology and cognition identified that longitudinal changes in cortical thickness of four left-hemisphere LPFC sulci predicted longitudinal changes in reasoning performance, a higher-level cognitive ability that relies on LPFC. Contrary to previous findings, these results suggest that sulci may flatten either after this time frame or over a longer longitudinal period of time than previously presented. Crucially, these results also suggest that longitudinal changes in the cortex within specific LPFC sulci are behaviorally meaningful, providing targeted structures, and areas of the cortex, for future neuroimaging studies examining the development of cognitive abilities.SIGNIFICANCE STATEMENT Recent work has shown that individual differences in neuroanatomical structures (indentations, or sulci) within the lateral PFC are behaviorally meaningful during childhood and adolescence. Here, we describe how specific lateral PFC sulci develop at the level of individual participants for the first time: from both cross-sectional and longitudinal perspectives. Further, we show, also for the first time, that the longitudinal morphologic changes in these structures are behaviorally relevant. These findings lay the foundation for a future avenue to precisely study the development of the cortex and highlight the importance of studying the development of sulci in other cortical expanses and charting how these changes relate to the cognitive abilities those areas support at the level of individual participants.
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Affiliation(s)
- Ethan H Willbrand
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Emilio Ferrer
- Department of Psychology
- Center for Mind and Brain, University of California-Davis, Davis, California 95616
| | - Silvia A Bunge
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Kevin S Weiner
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
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Wang L, Wu Z, Chen L, Sun Y, Lin W, Li G. iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction. Nat Protoc 2023; 18:1488-1509. [PMID: 36869216 DOI: 10.1038/s41596-023-00806-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 11/03/2022] [Indexed: 03/05/2023]
Abstract
The human cerebral cortex undergoes dramatic and critical development during early postnatal stages. Benefiting from advances in neuroimaging, many infant brain magnetic resonance imaging (MRI) datasets have been collected from multiple imaging sites with different scanners and imaging protocols for the investigation of normal and abnormal early brain development. However, it is extremely challenging to precisely process and quantify infant brain development with these multisite imaging data because infant brain MRI scans exhibit (a) extremely low and dynamic tissue contrast caused by ongoing myelination and maturation and (b) inter-site data heterogeneity resulting from the use of diverse imaging protocols/scanners. Consequently, existing computational tools and pipelines typically perform poorly on infant MRI data. To address these challenges, we propose a robust, multisite-applicable, infant-tailored computational pipeline that leverages powerful deep learning techniques. The main functionality of the proposed pipeline includes preprocessing, brain skull stripping, tissue segmentation, topology correction, cortical surface reconstruction and measurement. Our pipeline can handle both T1w and T2w structural infant brain MR images well in a wide age range (from birth to 6 years of age) and is effective for different imaging protocols/scanners, despite being trained only on the data from the Baby Connectome Project. Extensive comparisons with existing methods on multisite, multimodal and multi-age datasets demonstrate superior effectiveness, accuracy and robustness of our pipeline. We have maintained a website, iBEAT Cloud, for users to process their images with our pipeline ( http://www.ibeat.cloud ), which has successfully processed over 16,000 infant MRI scans from more than 100 institutions with various imaging protocols/scanners.
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Affiliation(s)
- Li Wang
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Zhengwang Wu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Liangjun Chen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yue Sun
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Weili Lin
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gang Li
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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de Souza EA, Silva SA, Vieira BH, Salmon CEG. fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance. INTELLIGENCE 2023. [DOI: 10.1016/j.intell.2023.101727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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Wittmann MK, Scheuplein M, Gibbons SG, Noonan MP. Local and global reward learning in the lateral frontal cortex show differential development during human adolescence. PLoS Biol 2023; 21:e3002010. [PMID: 36862726 PMCID: PMC10013901 DOI: 10.1371/journal.pbio.3002010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 03/14/2023] [Accepted: 01/20/2023] [Indexed: 03/03/2023] Open
Abstract
Reward-guided choice is fundamental for adaptive behaviour and depends on several component processes supported by prefrontal cortex. Here, across three studies, we show that two such component processes, linking reward to specific choices and estimating the global reward state, develop during human adolescence and are linked to the lateral portions of the prefrontal cortex. These processes reflect the assignment of rewards contingently to local choices, or noncontingently, to choices that make up the global reward history. Using matched experimental tasks and analysis platforms, we show the influence of both mechanisms increase during adolescence (study 1) and that lesions to lateral frontal cortex (that included and/or disconnected both orbitofrontal and insula cortex) in human adult patients (study 2) and macaque monkeys (study 3) impair both local and global reward learning. Developmental effects were distinguishable from the influence of a decision bias on choice behaviour, known to depend on medial prefrontal cortex. Differences in local and global assignments of reward to choices across adolescence, in the context of delayed grey matter maturation of the lateral orbitofrontal and anterior insula cortex, may underlie changes in adaptive behaviour.
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Affiliation(s)
- Marco K. Wittmann
- Department of Experimental Psychology, University of Oxford, Radcliffe Observatory, Oxford, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom
- Department of Experimental Psychology, University College London, London, United Kingdom
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, United Kingdom
| | - Maximilian Scheuplein
- Department of Experimental Psychology, University of Oxford, Radcliffe Observatory, Oxford, United Kingdom
- Institute of Education and Child Studies, Leiden University, Leiden, the Netherlands
| | - Sophie G. Gibbons
- Department of Experimental Psychology, University of Oxford, Radcliffe Observatory, Oxford, United Kingdom
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - MaryAnn P. Noonan
- Department of Experimental Psychology, University of Oxford, Radcliffe Observatory, Oxford, United Kingdom
- Department of Psychology, University of York, York, United Kingdom
- * E-mail:
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Yao JK, Voorhies WI, Miller JA, Bunge SA, Weiner KS. Sulcal depth in prefrontal cortex: a novel predictor of working memory performance. Cereb Cortex 2023; 33:1799-1813. [PMID: 35589102 PMCID: PMC9977365 DOI: 10.1093/cercor/bhac173] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 04/12/2022] [Accepted: 04/14/2022] [Indexed: 11/13/2022] Open
Abstract
The neuroanatomical changes that underpin cognitive development are of major interest in neuroscience. Of the many aspects of neuroanatomy to consider, tertiary sulci are particularly attractive as they emerge last in gestation, show a protracted development after birth, and are either human- or hominoid-specific. Thus, they are ideal targets for exploring morphological-cognitive relationships with cognitive skills that also show protracted development such as working memory (WM). Yet, the relationship between sulcal morphology and WM is unknown-either in development or more generally. To fill this gap, we adopted a data-driven approach with cross-validation to examine the relationship between sulcal depth in lateral prefrontal cortex (LPFC) and verbal WM in 60 children and adolescents between ages 6 and 18. These analyses identified 9 left, and no right, LPFC sulci (of which 7 were tertiary) whose depth predicted verbal WM performance above and beyond the effect of age. Most of these sulci are located within and around contours of previously proposed functional parcellations of LPFC. This sulcal depth model outperformed models with age or cortical thickness. Together, these findings build empirical support for a classic theory that tertiary sulci serve as landmarks in association cortices that contribute to late-maturing human cognitive abilities.
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Affiliation(s)
- Jewelia K Yao
- Princeton Neuroscience Institute, Princeton University, Washington Rd, Princeton, NJ 08540, United States
| | - Willa I Voorhies
- Department of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA 94720, United States
| | - Jacob A Miller
- Helen Wills Neuroscience Institute, University of California, Berkeley, 175 Li Ka Shing Center, Berkeley, CA 94720, United States
| | - Silvia A Bunge
- Department of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA 94720, United States
- Helen Wills Neuroscience Institute, University of California, Berkeley, 175 Li Ka Shing Center, Berkeley, CA 94720, United States
| | - Kevin S Weiner
- Department of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA 94720, United States
- Helen Wills Neuroscience Institute, University of California, Berkeley, 175 Li Ka Shing Center, Berkeley, CA 94720, United States
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47
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Dégeilh F, Leblanc É, Daneault V, Beauchamp MH, Bernier A. Longitudinal associations between mother-child attachment security in toddlerhood and white matter microstructure in late childhood: a preliminary investigation. Attach Hum Dev 2023; 25:291-310. [PMID: 36794390 DOI: 10.1080/14616734.2023.2172437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Early childhood experiences are considered to influence the strength and effectiveness of neural connections and thus the development of brain connectivity. As one of the most pervasive and potent early relational experiences, parent-child attachment is a prime candidate to account for experience-driven differences in brain development. Yet, knowledge of the effects of parent-child attachment on brain structure in typically developing children is scarce and largely limited to grey matter, whereas caregiving influences on white matter (i.e. neural connections) have seldom been explored. This study examined whether normative variation in mother-child attachment security predicts white matter microstructure in late childhood and explored associations with cognitive-inhibition. Mother-child attachment security was assessed using home observations when children (N = 32, 20 girls) were 15 and 26 months old. White matter microstructure was assessed using diffusion magnetic resonance imaging when children were 10 years old. Child cognitive-inhibition was tested when children were 11 years old. Results revealed a negative association between mother-toddler attachment security and child white matter microstructure organization, which in turn related to better child cognitive-inhibition. While preliminary given the sample size, these findings add to the growing literature that suggests that rich and positive experiences are likely to decelerate brain development.
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Affiliation(s)
- Fanny Dégeilh
- Department of Psychology, University of Montreal, Quebec, Canada.,Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Élizabel Leblanc
- Department of Psychology, University of Montreal, Quebec, Canada
| | - Véronique Daneault
- Department of Psychology, University of Montreal, Quebec, Canada.,Functional Neuroimaging Unit, Montreal Geriatric University Institute, Quebec, Canada.,Center for Advanced Research in Sleep Medicine, Montreal Sacré-Coeur Hospital, Quebec, Canada
| | - Miriam H Beauchamp
- Department of Psychology, University of Montreal, Quebec, Canada.,Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Annie Bernier
- Department of Psychology, University of Montreal, Quebec, Canada
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O’Hearn K, Lynn A. Age differences and brain maturation provide insight into heterogeneous results in autism spectrum disorder. Front Hum Neurosci 2023; 16:957375. [PMID: 36819297 PMCID: PMC9934814 DOI: 10.3389/fnhum.2022.957375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 11/07/2022] [Indexed: 02/05/2023] Open
Abstract
Studies comparing individuals with autism spectrum disorder (ASD) to typically developing (TD) individuals have yielded inconsistent results. These inconsistencies reflect, in part, atypical trajectories of development in children and young adults with ASD compared to TD peers. These different trajectories alter group differences between children with and without ASD as they age. This paper first summarizes the disparate trajectories evident in our studies and, upon further investigation, laboratories using the same recruiting source. These studies indicated that cognition improves into adulthood typically, and is associated with the maturation of striatal, frontal, and temporal lobes, but these age-related improvements did not emerge in the young adults with ASD. This pattern - of improvement into adulthood in the TD group but not in the group with ASD - occurred in both social and non-social tasks. However, the difference between TD and ASD trajectories was most robust on a social task, face recognition. While tempting to ascribe this uneven deficit to the social differences in ASD, it may also reflect the prolonged typical development of social cognitive tasks such as face recognition into adulthood. This paper then reviews the evidence on age-related and developmental changes from other studies on ASD. The broader literature also suggests that individuals with ASD do not exhibit the typical improvements during adolescence on skills important for navigating the transition to adulthood. These skills include execution function, social cognition and communication, and emotional recognition and self-awareness. Relatedly, neuroimaging studies indicate arrested or atypical brain maturation in striatal, frontal, and temporal regions during adolescence in ASD. This review not only highlights the importance of a developmental framework and explicit consideration of age and/or stage when studying ASD, but also the potential importance of adolescence on outcomes in ASD.
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Affiliation(s)
- Kirsten O’Hearn
- Department of Physiology and Pharmacology, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC, United States,*Correspondence: Kirsten O’Hearn,
| | - Andrew Lynn
- Department of Special Education, Vanderbilt University, Nashville, TN, United States
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Rimol LM, Rise HH, Evensen KAI, Yendiki A, Løhaugen GC, Indredavik MS, Brubakk AM, Bjuland KJ, Eikenes L, Weider S, Håberg A, Skranes J. Atypical brain structure mediates reduced IQ in young adults born preterm with very low birth weight. Neuroimage 2023; 266:119816. [PMID: 36528311 DOI: 10.1016/j.neuroimage.2022.119816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 12/05/2022] [Accepted: 12/13/2022] [Indexed: 12/15/2022] Open
Abstract
Preterm birth with very low birth weight (VLBW) confers heightened risk for perinatal brain injury and long-term cognitive deficits, including a reduction in IQ of up to one standard deviation. Persisting gray and white matter aberrations have been documented well into adolescence and adulthood in preterm born individuals. What has not been documented so far is a plausible causal link between reductions in cortical surface area or subcortical brain structure volumes, and the observed reduction in IQ. The NTNU Low Birth Weight in a Lifetime Perspective study is a prospective longitudinal cohort study, including a preterm born VLBW group (birthweight ≤1500 g) and a term born control group. Structural magnetic resonance imaging data were obtained from 38 participants aged 19, born preterm with VLBW, and 59 term-born peers. The FreeSurfer software suite was used to obtain measures of cortical thickness, cortical surface area, and subcortical brain structure volumes. Cognitive ability was estimated using the Wechsler Adult Intelligence Scale, 3rd Edition, including four IQ-indices: Verbal comprehension, Working memory, Perceptual organization, and Processing speed. Statistical mediation analyses were employed to test for indirect effects of preterm birth with VLBW on IQ, mediated by atypical brain structure. The mediation analyses revealed negative effects of preterm birth with VLBW on IQ that were partially mediated by reduced surface area in multiple regions of frontal, temporal, parietal and insular cortex, and by reductions in several subcortical brain structure volumes. The analyses did not yield sufficient evidence of mediation effects of cortical thickness on IQ. This is, to our knowledge, the first time a plausible causal relationship has been established between regional cortical area reductions, as well as reductions in specific subcortical and cerebellar structures, and general cognitive ability in preterm born survivors with VLBW.
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Affiliation(s)
- Lars M Rimol
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway.
| | - Henning Hoel Rise
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway
| | - Kari Anne I Evensen
- Department of Clinical and Molecular Medicine, NTNU, Trondheim, Norway; Department of Public Health and Nursing, NTNU, Trondheim, Norway
| | - Anastasia Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, United States
| | - Gro C Løhaugen
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | | | - Ann-Mari Brubakk
- Department of Clinical and Molecular Medicine, NTNU, Trondheim, Norway
| | | | - Live Eikenes
- Department of Neuromedicine and Movement Science, NTNU, Trondheim, Norway
| | - Siri Weider
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Asta Håberg
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway; Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway
| | - Jon Skranes
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
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50
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Thomas MSC, Coecke S. Associations between Socioeconomic Status, Cognition, and Brain Structure: Evaluating Potential Causal Pathways Through Mechanistic Models of Development. Cogn Sci 2023; 47:e13217. [PMID: 36607218 DOI: 10.1111/cogs.13217] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 10/14/2022] [Accepted: 10/24/2022] [Indexed: 01/07/2023]
Abstract
Differences in socioeconomic status (SES) correlate both with differences in cognitive development and in brain structure. Associations between SES and brain measures such as cortical surface area and cortical thickness mediate differences in cognitive skills such as executive function and language. However, causal accounts that link SES, brain, and behavior are challenging because SES is a multidimensional construct: correlated environmental factors, such as family income and parental education, are only distal markers for proximal causal pathways. Moreover, the causal accounts themselves must span multiple levels of description, employ a developmental perspective, and integrate genetic effects on individual differences. Nevertheless, causal accounts have the potential to inform policy and guide interventions to reduce gaps in developmental outcomes. In this article, we review the range of empirical data to be integrated in causal accounts of developmental effects on the brain and cognition associated with variation in SES. We take the specific example of language development and evaluate the potential of a multiscale computational model of development, based on an artificial neural network, to support the construction of causal accounts. We show how, with bridging assumptions that link properties of network structure to magnetic resonance imaging (MRI) measures of brain structure, different sets of empirical data on SES effects can be connected. We use the model to contrast two possible causal pathways for environmental influences that are associated with SES: differences in prenatal brain development and differences in postnatal cognitive stimulation. We then use the model to explore the implications of each pathway for the potential to intervene to reduce gaps in developmental outcomes. The model points to the cumulative effects of social disadvantage on multiple pathways as the source of the poorest response to interventions. Overall, we highlight the importance of implemented models to test competing accounts of environmental influences on individual differences.
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Affiliation(s)
- Michael S C Thomas
- Developmental Neurocognition Laboratory, Department of Psychological Sciences, Birkbeck, University of London, 3 Quantinuum, UK.,Centre for Educational Neuroscience, Birkbeck, University of London
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