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Xu S, Lv K, Sun Y, Chen T, He J, Xu J, Xu H. Altered structural node of default mode network mediated general cognitive ability in young adults with obesity. Prog Neuropsychopharmacol Biol Psychiatry 2024; 135:111132. [PMID: 39218345 DOI: 10.1016/j.pnpbp.2024.111132] [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: 06/14/2024] [Revised: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Obesity, characterized by excessive adiposity, is associated with brain structural abnormalities. Nevertheless, the relationships between altered structural nodes of default mode network (DMN), body mass index (BMI), general cognitive ability remained unclear in young adults. METHODS In this study, we divided a large sample of young adults into three BMI-based groups. We then conducted one-way analyses of variance and post-hoc tests with Bonferroni corrections to investigate abnormal structural brain regions associated with obesity. Furthermore, mediation effects models were built to explore whether the structural alterations influenced the relationship between BMI and general cognitive ability. RESULTS Compared to their lean and overweight counterparts, young adults with obesity exhibited significantly lower general cognitive ability, higher impulsivity traits, and worse sleep quality. Furthermore, compared with lean group, young adults with obesity exhibited altered cortical thickness of both the left temporal pole and right superior parietal lobule, and abnormal cortical surface area (CSA) of the left entorhinal cortex (EC), a hub within DMN. Moreover, CSA of the left EC mediated the relationship between BMI and general cognitive ability. CONCLUSION Obesity was linked to altered structural node of DMN, which mediated general cognitive ability in young adults. These findings indicated the negative effect of obesity on DMN and general cognitive ability in young adults.
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Affiliation(s)
- ShengJie Xu
- School of Mental Health, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, China
| | - KeZhen Lv
- School of Mental Health, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, China
| | - YuQi Sun
- School of Mental Health, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, China
| | - Teng Chen
- School of Mental Health, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, China
| | - Junhao He
- School of Mental Health, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, China
| | - Jing Xu
- School of Mental Health, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, China
| | - Hui Xu
- School of Mental Health, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, China.
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Nakua H, Yu JC, Abdi H, Hawco C, Voineskos A, Hill S, Lai MC, Wheeler AL, McIntosh AR, Ameis SH. Comparing the stability and reproducibility of brain-behavior relationships found using canonical correlation analysis and partial least squares within the ABCD sample. Netw Neurosci 2024; 8:576-596. [PMID: 38952810 PMCID: PMC11168718 DOI: 10.1162/netn_a_00363] [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: 06/08/2023] [Accepted: 01/17/2024] [Indexed: 07/03/2024] Open
Abstract
Canonical correlation analysis (CCA) and partial least squares correlation (PLS) detect linear associations between two data matrices by computing latent variables (LVs) having maximal correlation (CCA) or covariance (PLS). This study compared the similarity and generalizability of CCA- and PLS-derived brain-behavior relationships. Data were accessed from the baseline Adolescent Brain Cognitive Development (ABCD) dataset (N > 9,000, 9-11 years). The brain matrix consisted of cortical thickness estimates from the Desikan-Killiany atlas. Two phenotypic scales were examined separately as the behavioral matrix; the Child Behavioral Checklist (CBCL) subscale scores and NIH Toolbox performance scores. Resampling methods were used to assess significance and generalizability of LVs. LV1 for the CBCL brain relationships was found to be significant, yet not consistently stable or reproducible, across CCA and PLS models (singular value: CCA = .13, PLS = .39, p < .001). LV1 for the NIH brain relationships showed similar relationships between CCA and PLS and was found to be stable and reproducible (singular value: CCA = .21, PLS = .43, p < .001). The current study suggests that stability and reproducibility of brain-behavior relationships identified by CCA and PLS are influenced by the statistical characteristics of the phenotypic measure used when applied to a large population-based pediatric sample.
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Affiliation(s)
- Hajer Nakua
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Ju-Chi Yu
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Hervé Abdi
- The University of Texas at Dallas, Richardson, TX, USA
| | - Colin Hawco
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Aristotle Voineskos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sean Hill
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Meng-Chuan Lai
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anne L. Wheeler
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Stephanie H. Ameis
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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Chen JW, Du WQ, Zhu K. Optimal exercise intensity for improving executive function in patients with attention deficit hyperactivity disorder: systematic review and network meta-analysis. Eur Child Adolesc Psychiatry 2024:10.1007/s00787-024-02507-6. [PMID: 38922348 DOI: 10.1007/s00787-024-02507-6] [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: 03/03/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024]
Abstract
This study aimed to compare and rank the effectiveness of optimal exercise intensity in improving executive function in patients with ADHD (Attention deficit hyperactivity disorder, ADHD) through a comprehensive comparison of direct and indirect evidence. A systematic search was performed in five electronic databases to explore the optimal exercise intensity for improving executive function in patients with ADHD by directly and indirectly comparing a variety of exercise intervention intensities. In addition, the isolated effects of exercise on improving executive function in patients with ADHD were explored through classical meta-analysis of paired direct comparisons. Twenty-nine studies were retrieved and included in this study. Classical paired meta-analysis showed that for the patients with ADHD in the age group of 7-17 years, statistical difference was observed for all the parameters of exercise interventions (intensity, frequency, period, and training method), the three dimensions of executive function, the use of medication or not, the high and low quality of the methodological approach. Network meta-analysis showed that high-intensity exercise training was optimal for improving working memory (97.4%) and inhibitory function (85.7%) in patients with ADHD. Meanwhile, moderate-intensity exercise training was optimal for improving cognitive flexibility (77.3%) in patients with ADHD. Moderate to high intensity exercise training shows potential for improving executive function in these patients. Therefore, we recommend applying high-intensity exercise intervention to improve executive function in patients with ADHD to achieve substantial improvement.
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Affiliation(s)
- Ji-Wei Chen
- Shanghai University of Sport, Shanghai, China
| | - Wen-Qian Du
- Shanghai University of Sport, Shanghai, China
| | - Kun Zhu
- Shanghai University of Sport, Shanghai, China.
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Rajagopalan V, Hsu E, Luo S. Breastfeeding duration and brain-body development in 9-10-year-olds: modulating effect of socioeconomic levels. Pediatr Res 2024:10.1038/s41390-024-03330-0. [PMID: 38879625 DOI: 10.1038/s41390-024-03330-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 04/12/2024] [Accepted: 05/22/2024] [Indexed: 09/04/2024]
Abstract
OBJECTIVE To investigate relationships of breastfeeding duration with brain structure and adiposity markers in youth and how these relationships are modified by neighborhood socioeconomic environments (SEEs). METHODS This was a cross-sectional study of youth enrolled in the Adolescent Brain and Cognitive Development (ABCD) Study® (n = 7511). Mixed effects models examined associations of breastfeeding duration with global brain measures and adiposity markers, adjusting for sociodemographic, pre- and post-natal covariates. Stratified analysis was performed by area deprivation index (ADI) tertiles. RESULTS Total cortical surface area (SA) (False Discovery Rate - FDR corrected P < 0.001), cortical (FDR corrected P < 0.001) and subcortical gray matter (GM) volume (FDR corrected P < 0.001) increased with increased breastfeeding duration. Body mass index (BMI) z-scores (FDR corrected P = 0.001), waist circumference (FDR corrected P = 0.002) and waist-to-height ratio (WHtR) (FDR corrected P = 0.001) decreased with increased breastfeeding duration. Breastfeeding duration was inversely associated with adiposity in youth from high- and medium- ADI neighborhoods, but positively associated with SA across ADI tertiles. CONCLUSIONS In this cross-sectional study, longer breastfeeding duration was associated with lower adiposity indices, particularly in youth from lower SEEs and greater SA across SEE levels. Longer breastfeeding duration showed long-term associations with brain and body development for offspring. IMPACT Building on previous findings that longer breastfeeding duration is associated with healthier weight gain, lower obesity risk, and brain white matter development in infancy, our results find longer breastfeeding duration to be associated with lower adiposity indices and greater cortical and subcortical gray matter volume, and cortical surface area during peri-adolescence. Children from lower socioeconomic environments (SEEs) demonstrated stronger negative associations of breastfeeding duration and adiposity indices, and children across SEEs showed positive relationships between breastfeeding duration and cortical surface area. Promoting breastfeeding, particularly among women from lower SEEs would confer long-term benefits to offspring.
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Affiliation(s)
- Vidya Rajagopalan
- Division of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eustace Hsu
- Division of Endocrinology and Diabetes, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shan Luo
- Division of Endocrinology and Diabetes, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Department of Psychology, University of Southern California, Los Angeles, CA, USA.
- Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, CA, USA.
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA.
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5
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Morys F, Tremblay C, Rahayel S, Hansen JY, Dai A, Misic B, Dagher A. Neural correlates of obesity across the lifespan. Commun Biol 2024; 7:656. [PMID: 38806652 PMCID: PMC11133431 DOI: 10.1038/s42003-024-06361-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/20/2024] [Indexed: 05/30/2024] Open
Abstract
Associations between brain and obesity are bidirectional: changes in brain structure and function underpin over-eating, while chronic adiposity leads to brain atrophy. Investigating brain-obesity interactions across the lifespan can help better understand these relationships. This study explores the interaction between obesity and cortical morphometry in children, young adults, adults, and older adults. We also investigate the genetic, neurochemical, and cognitive correlates of the brain-obesity associations. Our findings reveal a pattern of lower cortical thickness in fronto-temporal brain regions associated with obesity across all age cohorts and varying age-dependent patterns in the remaining brain regions. In adults and older adults, obesity correlates with neurochemical changes and expression of inflammatory and mitochondrial genes. In children and older adults, adiposity is associated with modifications in brain regions involved in emotional and attentional processes. Thus, obesity might originate from cognitive changes during early adolescence, leading to neurodegeneration in later life through mitochondrial and inflammatory mechanisms.
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Affiliation(s)
- Filip Morys
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada.
| | - Christina Tremblay
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Shady Rahayel
- Department of Medicine and Medical Specialties, University of Montreal, Montreal, QC, Canada
- Center for Advanced Research in Sleep Medicine, Hopital du Sacre-Coeur de Montreal, Montreal, QC, Canada
| | - Justine Y Hansen
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Alyssa Dai
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
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Tan B, Tamanyan K, Walter L, Nixon GM, Davey MJ, Ditchfield M, Horne RSC. Cortical grey matter changes, behavior and cognition in children with sleep disordered breathing. J Sleep Res 2024; 33:e14006. [PMID: 37475108 DOI: 10.1111/jsr.14006] [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: 04/16/2023] [Revised: 06/25/2023] [Accepted: 07/06/2023] [Indexed: 07/22/2023]
Abstract
This paper investigated cortical thickness and volumetric changes in children to better understand the impact of obstructive sleep disordered breathing (SDB) on the neurodevelopment of specific regions of the brain. We also aimed to investigate how these changes were related to the behavioral and cognitive deficits observed in the condition. Neuroimaging, behavioral, and sleep data were obtained from 30 children (15 non-snoring controls, 15 referred for assessment of SDB) aged 7 to 17 years. Gyral-based regions of interest were identified using the Desikan-Killiany atlas. Student's t-tests were used to compare regions of interest between the controls and SDB groups. We found that the cortical thickness was significantly greater in the right caudal anterior cingulate and right cuneus regions and there were volumetric increases in the left caudal middle frontal, bilateral rostral anterior cingulate, left, right, and bilateral caudate brain regions in children with SDB compared with controls. Neither cortical thickness nor volumetric changes were associated with behavioral or cognitive measures. The findings of this study indicate disruptions to neural developmental processes occurring in structural regions of the brain; however, these changes appear unrelated to behavioural or cognitive outcomes.
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Affiliation(s)
- Brendan Tan
- Department of Pediatrics, Monash University, Melbourne, Victoria, Australia
| | - Knarik Tamanyan
- Department of Pediatrics, Monash University, Melbourne, Victoria, Australia
| | - Lisa Walter
- Department of Pediatrics, Monash University, Melbourne, Victoria, Australia
| | - Gillian M Nixon
- Department of Pediatrics, Monash University, Melbourne, Victoria, Australia
- Melbourne Children's Sleep Centre, Monash Children's Hospital, Melbourne, Victoria, Australia
| | - Margot J Davey
- Department of Pediatrics, Monash University, Melbourne, Victoria, Australia
- Melbourne Children's Sleep Centre, Monash Children's Hospital, Melbourne, Victoria, Australia
| | - Michael Ditchfield
- Department of Pediatrics, Monash University, Melbourne, Victoria, Australia
- Department of Radiology, Monash Children's Hospital, Melbourne, Victoria, Australia
| | - Rosemary S C Horne
- Department of Pediatrics, Monash University, Melbourne, Victoria, Australia
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Dong D, Chen X, Li W, Gao X, Wang Y, Zhou F, Eickhoff SB, Chen H. Opposite changes in morphometric similarity of medial reward and lateral non-reward orbitofrontal cortex circuits in obesity. Neuroimage 2024; 290:120574. [PMID: 38467346 DOI: 10.1016/j.neuroimage.2024.120574] [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: 12/09/2023] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 03/13/2024] Open
Abstract
Obesity has a profound impact on metabolic health thereby adversely affecting brain structure and function. However, the majority of previous studies used a single structural index to investigate the link between brain structure and body mass index (BMI), which hinders our understanding of structural covariance between regions in obesity. This study aimed to examine the relationship between macroscale cortical organization and BMI using novel morphometric similarity networks (MSNs). The individual MSNs were first constructed from individual eight multimodal cortical morphometric features between brain regions. Then the relationship between BMI and MSNs within the discovery sample of 434 participants was assessed. The key findings were further validated in an independent sample of 192 participants. We observed that the lateral non-reward orbitofrontal cortex (lOFC) exhibited decoupling (i.e., reduction in integration) in obesity, which was mainly manifested by its decoupling with the cognitive systems (i.e., DMN and FPN) while the medial reward orbitofrontal cortex (mOFC) showed de-differentiation (i.e., decrease in distinctiveness) in obesity, which was mainly represented by its de-differentiation with the cognitive and attention systems (i.e., DMN and VAN). Additionally, the lOFC showed de-differentiation with the visual system in obesity, while the mOFC showed decoupling with the visual system and hyper-coupling with the sensory-motor system in obesity. As an important first step in revealing the role of underlying structural covariance in body mass variability, the present study presents a novel mechanism that underlies the reward-control interaction imbalance in obesity, thus can inform future weight-management approaches.
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Affiliation(s)
- Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Ximei Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Wei Li
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Xiao Gao
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Yulin Wang
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China; Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Feng Zhou
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China; Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing 400715, China.
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Cordeiro FB, Moura-Silva MG, Domingues MRDS, de Souza MC, Rocha R, Esteban-Cornejo I, Bento-Torres NVO, Erickson KI, Bento-Torres J. Inhibitory control mediates the association between body mass index and math performance in children: A cross-sectional study. PLoS One 2024; 19:e0296635. [PMID: 38603699 PMCID: PMC11008894 DOI: 10.1371/journal.pone.0296635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 12/15/2023] [Indexed: 04/13/2024] Open
Abstract
BACKGROUND Overweight and obesity affect more than 18% of children and adolescents in the world. Obesity-related associations with brain morphology might be associated with reduced efficiency of inhibitory control. This association highlights a possible mechanism by which obesity impacts intelligence and academic achievement. Prior work indicates a mediating effect of inhibitory control on the relationship between body mass index (BMI) and intelligence and academic achievement. However, although obesity is associated with impaired math performance, we do not know whether inhibitory control also mediates the relationship between BMI and math performance. This study tests the hypothesis that inhibitory control statistically mediates the relationship between BMI and math performance. METHODS 161 children (9 to 13 years old, 80 female) participated in the present study. We evaluated BMI; math performance, in a test composed of 20 arithmetic equations of the type x = (a × b) - c; and inhibitory control through the Flanker test. We carried out Spearman correlation tests, hierarchical multiple linear regression, and tested the confidence of the model where inhibitory control statistically mediates the indirect association between BMI and math performance. Mediation analysis in this cross-sectional study aimed to improve understanding of indirect relationships and offer insights into possible causal connections. RESULTS Better math performance and lower BMI were associated with greater accuracy on the inhibitory control test and greater accuracy on the inhibitory control test was associated with better performance on math test. We found an indirect association between higher BMI in children and impairments in math performance, that was mediated by inhibitory control (a: -0.008, p = 0.025; b: 7.10, p = 0.0004; c: 0.05, p = 0.592; c': 0.11, p = 0.238; Indirect Effect: -0.0599, 95% CI: -0.13, -0.005). CONCLUSIONS An indirect association between higher body mass indices in children and impairments in math performance was detected, through the impact that BMI has on inhibitory control.
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Affiliation(s)
- Felipe Barradas Cordeiro
- Graduate Program in Human Movement Science, Neurodegeneration and Infection Research Laboratory, João de Barros Barreto University Hospital, Federal University of Pará, Belém, Brazil
| | | | | | | | - Renan Rocha
- Graduate Program in Human Movement Science, Neurodegeneration and Infection Research Laboratory, João de Barros Barreto University Hospital, Federal University of Pará, Belém, Brazil
| | - Irene Esteban-Cornejo
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Natáli Valim Oliver Bento-Torres
- Graduate Program in Human Movement Science, Neurodegeneration and Infection Research Laboratory, João de Barros Barreto University Hospital, Federal University of Pará, Belém, Brazil
| | - Kirk I. Erickson
- AdventHealth Research Institute, Orlando, Florida, United States of America
| | - João Bento-Torres
- Graduate Program in Human Movement Science, Neurodegeneration and Infection Research Laboratory, João de Barros Barreto University Hospital, Federal University of Pará, Belém, Brazil
- Institute of Mathematics and Scientific Education, Federal University of Pará, Belém, Brazil
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Yang A, Jing Lu H, Chang L. The impacts of early environmental adversity on cognitive functioning, body mass, and life-history behavioral profiles. Brain Cogn 2024; 177:106159. [PMID: 38593638 DOI: 10.1016/j.bandc.2024.106159] [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: 01/15/2024] [Revised: 03/16/2024] [Accepted: 04/03/2024] [Indexed: 04/11/2024]
Abstract
Early adverse experiences or exposures have a profound impact on neurophysiological, cognitive, and somatic development. Evidence across disciplines uncovers adversity-induced alternations in cortical structures, cognitive functions, and related behavioral manifestations, as well as an energetic trade-off between the brain and body. Based on the life history (LH) framework, the present research aims to explore the adversity-adapted cognitive-behavioral mechanism and investigate the relation between cognitive functioning and somatic energy reserve (i.e., body mass index; BMI). A structural equation modeling (SEM) analysis was performed with longitudinal self-reported, anthropometric, and task-based data drawn from a cohort of 2,607 8- to 11-year-old youths and their primary caregivers recruited by the Adolescent Brain Cognitive Development (ABCDSM) study. The results showed that early environmental adversity was positively associated with fast LH behavioral profiles and negatively with cognitive functioning. Moreover, cognitive functioning mediated the relationship between adversity and fast LH behavioral profiles. Additionally, we found that early environmental adversity positively predicted BMI, which was inversely correlated with cognitive functioning. These results revealed an adversity-adapted cognitive-behavioral mechanism and energy-allocation pathways, and add to the existing knowledge of LH trade-off and developmental plasticity.
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Affiliation(s)
- Anting Yang
- Department of Psychology, Faculty of Social Sciences Building E21-G003, University of Macau, Macau.
| | - Hui Jing Lu
- Department of Applied Social Sciences, Faculty of Health and Social Sciences GH413, The Hong Kong Polytechnic University, Hum Hong, Kowloon, Hong Kong, China.
| | - Lei Chang
- Department of Psychology, Faculty of Social Sciences Building E21-G003, University of Macau, Macau; Department of Applied Social Sciences, Faculty of Health and Social Sciences GH413, The Hong Kong Polytechnic University, Hum Hong, Kowloon, Hong Kong, China.
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10
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Petersen M, Hoffstaedter F, Nägele FL, Mayer C, Schell M, Rimmele DL, Zyriax BC, Zeller T, Kühn S, Gallinat J, Fiehler J, Twerenbold R, Omidvarnia A, Patil KR, Eickhoff SB, Thomalla G, Cheng B. A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition. eLife 2024; 12:RP93246. [PMID: 38512127 PMCID: PMC10957178 DOI: 10.7554/elife.93246] [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: 03/22/2024] Open
Abstract
The link between metabolic syndrome (MetS) and neurodegenerative as well as cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between MetS and brain health by conducting a comprehensive examination of cardiometabolic risk factors, brain morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis, we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.
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Affiliation(s)
- Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Felix Hoffstaedter
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Felix L Nägele
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Carola Mayer
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Maximilian Schell
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - D Leander Rimmele
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Birgit-Christiane Zyriax
- Midwifery Science-Health Services Research and Prevention, Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-EppendorfHamburgGermany
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular CenterHamburgGermany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/LuebeckHamburgGermany
- University Center of Cardiovascular Science, University Heart and Vascular CenterHamburgGermany
| | - Simone Kühn
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Raphael Twerenbold
- Department of Cardiology, University Heart and Vascular CenterHamburgGermany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/LuebeckHamburgGermany
- University Center of Cardiovascular Science, University Heart and Vascular CenterHamburgGermany
- Epidemiological Study Center, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Amir Omidvarnia
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Kaustubh R Patil
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Simon B Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Goetz Thomalla
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
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11
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Lane JM, Merced-Nieves FM, Midya V, Liu SH, Martinez-Medina S, Wright RJ, Téllez-Rojo MM, Wright RO. Prenatal exposure to metal mixtures and childhood temporal processing in the PROGRESS Birth Cohort Study: Modification by childhood obesity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170576. [PMID: 38309331 PMCID: PMC10922956 DOI: 10.1016/j.scitotenv.2024.170576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/27/2024] [Accepted: 01/28/2024] [Indexed: 02/05/2024]
Abstract
Children are frequently exposed to various biological trace metals, some essential for their development, while others can be potent neurotoxicants. Furthermore, the inflammatory and metabolic conditions associated with obesity may interact with and amplify the impact of metal exposure on neurodevelopment. However, few studies have assessed the potential modification effect of body mass index (BMI). As a result, we investigated the role of child BMI phenotype on the relationship between prenatal exposure to metal mixtures and temporal processing. Leveraging the PROGRESS birth cohort in Mexico City, children (N = 563) aged 6-9 years completed a Temporal Response Differentiation (TRD) task where they had to hold a lever down for 10-14 s. Blood and urinary metal (As, Pb, Cd, and Mn) measurements were collected from mothers in the 2nd and 3rd trimesters. Child BMI z-scores were dichotomized to normal (between -2 and +0.99) and high (≥1.00). Covariate-adjusted weighted quantile sum (WQS) regression models were used to estimate and examine the combined effect of metal biomarkers (i.e., blood and urine) on TRD measures. Effect modification by the child's BMI was evaluated using 2-way interaction terms. Children with a high BMI and greater exposure to the metal mixture during prenatal development exhibited significant temporal processing deficits compared to children with a normal BMI. Notably, children with increased exposure to the metal mixture and higher BMI had a decrease in the percent of tasks completed (β = -10.13; 95 % CI: -19.84, -0.42), number of average holds (β = -2.15; 95 % CI: -3.88, -0.41), longer latency (β = 0.78; 95 % CI: 0.13, 1.44), and greater variability in the standard deviation of the total hold time (β = 2.08; 95 % CI: 0.34, 3.82) compared to normal BMI children. These findings implicate that high BMI may amplify the effect of metals on children's temporal processing. Understanding the relationship between metal exposures, temporal processing, and childhood obesity can provide valuable insights for developing targeted environmental interventions.
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Affiliation(s)
- Jamil M Lane
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Francheska M Merced-Nieves
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vishal Midya
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shelley H Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, USA
| | - Sandra Martinez-Medina
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martha M Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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12
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Han J, Zhuang K, Chen X, Xiao M, Liu Y, Song S, Gao X, Chen H. Connectivity-based neuromarker for children's inhibitory control ability and its relevance to body mass index. Child Neuropsychol 2024:1-18. [PMID: 38375872 DOI: 10.1080/09297049.2024.2314956] [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: 06/04/2023] [Accepted: 01/11/2024] [Indexed: 02/21/2024]
Abstract
Preserving a normal body mass index (BMI) is crucial for the healthy growth and development of children. As a core aspect of executive functions, inhibitory control plays a pivotal role in maintaining a normal BMI, which is key to preventing issues of childhood obesity. By studying individual variations in inhibitory control performance and its associated connectivity-based neuromarker in a sample of primary school students (N = 64; 9-12 yr), we aimed to unravel the pathway through which inhibitory control impacts children's BMI. Utilizing resting-state functional MRI scans and a connectivity-based psychometric prediction framework, we found that enhanced inhibitory control abilities were primarily associated with increased functional connectivity in brain structures vital to executive functions, such as the superior frontal lobule, superior parietal lobule, and posterior cingulate cortex. Conversely, inhibitory control abilities displayed a negative relationship with functional connectivity originating from reward-related brain structures, such as the orbital frontal and ventral medial prefrontal lobes. Furthermore, we revealed that both inhibitory control and its corresponding neuromarker can moderate the association between food-related delayed gratification and BMI in children. However, only the neuromarker of inhibitory control maintained its moderating effect on children's future BMI, as determined in the follow-up after one year. Overall, our findings shed light on the potential mechanisms of how inhibitory control in children impacts BMI, highlighting the utility of the connectivity-based neuromarker of inhibitory control in the context of childhood obesity.
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Affiliation(s)
- Jinfeng Han
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Kaixiang Zhuang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Ximei Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Mingyue Xiao
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Yong Liu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Shiqing Song
- Faculty of Psychology, Shaanxi Normal University, Xi'an, China
| | - Xiao Gao
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China
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13
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Thapaliya G, Kundu P, Jansen E, Naymik MA, Lee R, Bruchhage MMK, D’Sa V, Huentelman MJ, Lewis CR, Müller HG, Deoni SCL, Carnell S. FTO variation and early frontostriatal brain development in children. Obesity (Silver Spring) 2024; 32:156-165. [PMID: 37817330 PMCID: PMC10840826 DOI: 10.1002/oby.23926] [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: 06/02/2023] [Revised: 08/07/2023] [Accepted: 08/22/2023] [Indexed: 10/12/2023]
Abstract
OBJECTIVE Common obesity-associated genetic variants at the fat mass and obesity-associated (FTO) locus have been associated with appetitive behaviors and altered structure and function of frontostriatal brain regions. The authors aimed to investigate the influence of FTO variation on frontostriatal appetite circuits in early life. METHODS Data were drawn from RESONANCE, a longitudinal study of early brain development. Growth trajectories of nucleus accumbens and frontal lobe volumes, as well as total gray matter and white matter volume, by risk allele (AA) carrier status on FTO single-nucleotide polymorphism rs9939609 were examined in 228 children (102 female, 126 male) using magnetic resonance imaging assessments obtained from infancy through middle childhood. The authors fit functional concurrent regression models with brain volume outcomes over age as functional responses, and FTO genotype, sex, BMI z score, and maternal education were included as predictors. RESULTS Bootstrap pointwise 95% CI for regression coefficient functions in the functional concurrent regression models showed that the AA group versus the group with no risk allele (TT) had greater nucleus accumbens volume (adjusted for total brain volume) in the interval of 750 to 2250 days (2-6 years). CONCLUSIONS These findings suggest that common genetic risk for obesity is associated with differences in early development of brain reward circuitry and argue for investigating dynamic relationships among genotype, brain, behavior, and weight throughout development.
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Affiliation(s)
- Gita Thapaliya
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | - Poorbita Kundu
- Department of Statistics, University of California, Davis, Davis, CA, USA
| | - Elena Jansen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | | | - Richard Lee
- Department of Psychiatry, and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | - Muriel Marisa Katharina Bruchhage
- Advanced Baby Imaging Lab, Hasbro Children’s Hospital, Rhode Island Hospital, Providence, RI, USA
- Department of Pediatrics, Warren Alpert Medical School at Brown University, Providence, RI, USA
- Department of Psychology, Social Sciences, University of Stavanger, Norway
| | - Viren D’Sa
- Department of Pediatrics, Warren Alpert Medical School at Brown University, Providence, RI, USA
| | | | - Candace R Lewis
- Neurogenomics Division, TGen, Phoenix, AZ, USA
- School of Life Sciences, Arizona State University, Phoenix, AZ, United States
| | - Hans-Georg Müller
- Department of Statistics, University of California, Davis, Davis, CA, USA
| | - Sean C. L. Deoni
- Maternal, Newborn and Child Health Discovery & Tools, Bill & Melinda Gates Foundation, Seattle, WA
| | | | - Susan Carnell
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
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14
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Petersen M, Hoffstaedter F, Nägele FL, Mayer C, Schell M, Rimmele DL, Zyriax BC, Zeller T, Kühn S, Gallinat J, Fiehler J, Twerenbold R, Omidvarnia A, Patil KR, Eickhoff SB, Thomalla G, Cheng B. A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.22.529531. [PMID: 36865285 PMCID: PMC9980040 DOI: 10.1101/2023.02.22.529531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
The link between metabolic syndrome (MetS) and neurodegenerative as well cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between MetS and brain health by conducting a comprehensive examination of cardiometabolic risk factors, cortical morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.
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Affiliation(s)
- Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Felix Hoffstaedter
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Felix L. Nägele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Carola Mayer
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Maximilian Schell
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - D. Leander Rimmele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Birgit-Christiane Zyriax
- Midwifery Science-Health Services Research and Prevention, Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Luebeck, Martinistraße 52, 20251 Hamburg, Germany
- University Center of Cardiovascular Science, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
| | - Simone Kühn
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Raphael Twerenbold
- Department of Cardiology, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Luebeck, Martinistraße 52, 20251 Hamburg, Germany
- University Center of Cardiovascular Science, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- Epidemiological Study Center, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Amir Omidvarnia
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Kaustubh R. Patil
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Simon B. Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
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15
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Zhu L, He A, Chen D, Dong X, Xiong X, Chen A. Cardiorespiratory fitness as a mediator between body fat rate and executive function in college students. Front Endocrinol (Lausanne) 2023; 14:1293388. [PMID: 38174333 PMCID: PMC10764023 DOI: 10.3389/fendo.2023.1293388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 12/04/2023] [Indexed: 01/05/2024] Open
Abstract
Purpose To examine whether body fat rate (BF%) is associated with cardiorespiratory fitness (CRF) and whether cardiorespiratory fitness (CRF) mediates the association between BF% and Executive function (EF) in young adults. Methods In this cross-sectional study, 226 college students were recruited from an university. Flanker, 2-back, and odder and shifting tasks were used to assess EF. The incremental cardiopulmonary exercise tests were performed, and maximal oxygen consumption was recorded during test. The body composition measuring instrument was used to evaluate the participants' BF%. Results The BF% of college students was negatively correlated with each EF, BF% was negatively correlated with CRF, and CRF was negatively correlated with EF (P< 0.001). Structural equation modeling (SEM) and simultaneous analysis of several groups were used to construct mediator model. The CRF of college students plays a partial mediating role between BF% and EF, and the mediating effect accounts for 48.8% of the total effect value. Sex has no moderate effect on the relationship between BF%, CRF, and EF. Conclusions College students with high BF% can improve their CRF by strengthening physical exercise, thereby indirectly improving their EF. Therefore, college students who have a higher body fat percentage should be compensated for engaging in physical exercise in order to enhance their CRF and mitigate the detrimental effects of obesity and overweight on EF.
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Affiliation(s)
- Lina Zhu
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Aihong He
- College of Physical Education, Yangzhou Polytechnic College, Yangzhou, Jiangsu, China
| | - Dandan Chen
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Xiaoxiao Dong
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Xuan Xiong
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Aiguo Chen
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
- Nanjing Sport Institute, Nanjing, Jiangsu, China
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16
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Mewton L, Davies S, Sunderland M, Champion K, Hoy N, Newton N, Teesson M, Squeglia LM. Longitudinal relationships between lifestyle risk factors and neurodevelopment in early adolescence. Health Psychol 2023; 42:904-912. [PMID: 37616102 PMCID: PMC10840638 DOI: 10.1037/hea0001248] [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: 08/25/2023]
Abstract
OBJECTIVE The goal of this study is to investigate the cross-sectional and longitudinal relationships between clustered lifestyle risk factors (sleep, physical activity, body mass index [BMI], and screen time) and neurodevelopment over the early adolescent period. METHOD Data from the ABCD Study Data Release 3.0 consisted of 11,878 participants (aged 9-10 years) at baseline and 6,571 participants (aged 11-12 years) at 2-year follow-up. The interrelationships between lifestyle risk factors and brain structure were analyzed using bivariate multiple indicator latent change score models. Using confirmatory factor analysis, a single lifestyle risk factor domain (measured by sleep, physical activity, BMI, and screen time) was shown to fit the data well. Using exploratory and confirmatory factor analysis, seven brain structure domains were extracted and labeled as temporal-parietal, frontotemporal, occipital, orbitofrontal, temporal, cingulate, parietal, and cuneus domains. All bivariate latent change score models accounted for age, sex at birth, race/ethnicity, parental education, and marital status. RESULTS Higher lifestyle risk was associated with smaller brain volume at baseline. Higher baseline lifestyle risk was also associated with a greater rate of change (i.e., greater decreases) in brain volume for the temporal-parietal, frontotemporal, orbitofrontal, parietal, and cuneus domains. Effects were not reciprocal; baseline brain volume did not predict changes in lifestyle behaviors over time. CONCLUSION These findings are important for understanding the biological mechanisms underpinning health risk factors and can be used to target interventions and improve brain health during this critical developmental phase. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Louise Mewton
- Centre for Healthy Brain Ageing, School of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Sarah Davies
- Centre for Healthy Brain Ageing, School of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Matthew Sunderland
- The Matilda Centre for Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Katrina Champion
- The Matilda Centre for Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Nicholas Hoy
- Centre for Healthy Brain Ageing, School of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Nicola Newton
- The Matilda Centre for Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Maree Teesson
- The Matilda Centre for Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Lindsay M. Squeglia
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina
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17
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Kulisch LK, Arumäe K, Briley DA, Vainik U. Triangulating causality between childhood obesity and neurobehavior: Behavioral genetic and longitudinal evidence. Dev Sci 2023; 26:e13392. [PMID: 36950909 DOI: 10.1111/desc.13392] [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: 07/09/2022] [Revised: 02/17/2023] [Accepted: 02/24/2023] [Indexed: 03/24/2023]
Abstract
Childhood obesity is a serious health concern that is not yet fully understood. Previous research has linked obesity with neurobehavioral factors such as behavior, cognition, and brain morphology. The causal directions of these relationships remain mostly untested. We filled this gap by using the Adolescent Brain Cognitive Development study cohort comprising 11,875 children aged 9-10. First, correlations between the age- and sex-specific 95th BMI percentile (%BMIp95) and neurobehavioral measures were cross-sectionally analyzed. Effects were then aggregated by neurobehavioral domain for causal analyses. Behavioral genetic Direction of Causation modeling was used to test the direction of each relationship. Findings were validated by longitudinal cross-lagged panel modeling. %BMIp95 correlated with impulsivity, motivation, psychopathology, eating behavior, and cognitive tests (executive functioning, language, memory, perception, working memory). Greater %BMIp95 was also associated with reduced cortical thickness in frontal and temporal brain areas but with increased thickness in parietal and occipital areas. Similar although weaker patterns emerged for cortical surface area and volume. Behavioral genetic modeling suggested causal effects of %BMIp95 on eating behavior (β = 0.26), cognition (β = 0.05), cortical thickness (β = 0.15), and cortical surface area (β = 0.07). Personality/psychopathology (β = 0.09) and eating behavior (β = 0.16) appeared to influence %BMIp95. Longitudinal evidence broadly supported these findings. Results regarding cortical volume were inconsistent. Results supported causal effects of obesity on brain functioning and morphology. The present study highlights the importance of physical health for brain development and may inform interventions aimed at preventing or reducing pediatric obesity. RESEARCH HIGHLIGHTS: A continuous measure related to obesity, %BMIp95, has correlations with various measures of brain functioning and structure Behavioral genetic and longitudinal modeling suggest causal links from personality, psychopathology, and eating behavior to %BMIp95 Results also indicate directional links from %BMIp95 to eating behavior, cognition, cortical thickness, and cortical surface area Obesity may play a role for healthy brain development during childhood.
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Affiliation(s)
- Leonard Konstantin Kulisch
- Institute of Psychology, University of Tartu, Tartu, Estonia
- Wilhem Wundt Institute for Pschology, Leipzig University, Leipzig, Germany
| | - Kadri Arumäe
- Institute of Psychology, University of Tartu, Tartu, Estonia
| | - Daniel A Briley
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
| | - Uku Vainik
- Institute of Psychology, University of Tartu, Tartu, Estonia
- Institute of Genomics, University of Tartu, Tartu, Estonia
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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18
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Luo S, Hsu E, Lawrence KE, Adise S, Pickering TA, Herting MM, Buchanan T, Page KA, Thompson PM. Associations among prenatal exposure to gestational diabetes mellitus, brain structure, and child adiposity markers. Obesity (Silver Spring) 2023; 31:2699-2708. [PMID: 37840377 PMCID: PMC11025497 DOI: 10.1002/oby.23901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/22/2023] [Accepted: 04/04/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE The aim of this study was to investigate the mediating role of child brain structure in the relationship between prenatal gestational diabetes mellitus (GDM) exposure and child adiposity. METHODS This was a cross-sectional study of 9- to 10-year-old participants and siblings across the US. Data were obtained from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study®. Brain structure was evaluated by magnetic resonance imaging. GDM exposure was self-reported, and discordance for GDM exposure within biological siblings was identified. Mixed effects and mediation models were used to examine associations among prenatal GDM exposure, brain structure, and adiposity markers with sociodemographic covariates. RESULTS The sample included 8521 children (7% GDM-exposed), among whom there were 28 sibling pairs discordant for GDM exposure. Across the entire study sample, prenatal exposure to GDM was associated with lower global and regional cortical gray matter volume (GMV) in the bilateral rostral middle frontal gyrus and superior temporal gyrus. GDM-exposed siblings also demonstrated lower global cortical GMV than unexposed siblings. Global cortical GMV partially mediated the associations between prenatal GDM exposure and child adiposity markers. CONCLUSIONS The results identify brain markers of prenatal GDM exposure and suggest that low cortical GMV may explain increased obesity risk for offspring prenatally exposed to GDM.
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Affiliation(s)
- Shan Luo
- Division of Endocrinology and Diabetes, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Department of Psychology, University of Southern California, Los Angeles, California, USA
- Center for Endocrinology, Diabetes and Metabolism, Children’s Hospital Los Angeles, Los Angeles, California, USA
| | - Eustace Hsu
- Division of Endocrinology and Diabetes, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Katherine E. Lawrence
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Shana Adise
- Center for Endocrinology, Diabetes and Metabolism, Children’s Hospital Los Angeles, Los Angeles, California, USA
- Division of Research on Children, Youth, and Families, Children’s Hospital Los Angeles, Los Angeles, California, USA
| | - Trevor A. Pickering
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Megan M. Herting
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
| | - Thomas Buchanan
- Division of Endocrinology and Diabetes, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Kathleen A. Page
- Division of Endocrinology and Diabetes, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
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19
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Carnell S, Thapaliya G, Jansen E, Chen L. Biobehavioral susceptibility for obesity in childhood: Behavioral, genetic and neuroimaging studies of appetite. Physiol Behav 2023; 271:114313. [PMID: 37544571 PMCID: PMC10591980 DOI: 10.1016/j.physbeh.2023.114313] [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: 01/09/2023] [Revised: 06/06/2023] [Accepted: 07/31/2023] [Indexed: 08/08/2023]
Abstract
Modern food environments are conducive to overeating and weight gain, but not everyone develops obesity. One reason for this may be that individuals differ in appetitive characteristics, or traits, that manifest early in life and go on to influence their behavioral susceptibility to gain and maintain excess weight. Classic studies showing that eating behavior in children can be measured by behavioral paradigms such as tests of caloric compensation and eating in the absence of hunger inspired the development and validation of psychometric instruments to assess appetitive characteristics in children and infants. A large body of evidence now suggests that food approach traits increase obesity risk, while food avoidant traits, such as satiety responsiveness, decrease obesity risk. Twin studies and genetic association studies have demonstrated that appetitive characteristics are heritable, consistent with a biological etiology. However, family environment factors are also influential, with mounting evidence suggesting that genetic and environmental risk factors interact and correlate with consequences for child eating behavior and weight. Further, neuroimaging studies are revealing that individual differences in responses to visual food cues, as well as to small tastes and larger amounts of food, across a number of brain regions involved in reward/motivation, cognitive control and other functions, may contribute to individual variation in appetitive behavior. Growing evidence also suggests that variation on psychometric measures of appetite is associated with regional differences in brain structure, and differential patterns of resting state functional connectivity. Large prospective studies beginning in infancy promise to enrich our understanding of neural and other biological underpinnings of appetite and obesity development in early life, and how the interplay between genetic and environmental factors affects appetitive systems. The biobehavioral susceptibility model of obesity development and maintenance outlined in this narrative review has implications for prevention and treatment of obesity in childhood.
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Affiliation(s)
- Susan Carnell
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA.
| | - Gita Thapaliya
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | - Elena Jansen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | - Liuyi Chen
- Division of Psychiatric Neuroimaging, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
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20
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Cui J, Li G, Zhang M, Xu J, Qi H, Ji W, Wu F, Zhang Y, Jiang F, Hu Y, Zhang W, Wei X, Manza P, Volkow ND, Gao X, Wang GJ, Zhang Y. Associations between body mass index, sleep-disordered breathing, brain structure, and behavior in healthy children. Cereb Cortex 2023; 33:10087-10097. [PMID: 37522299 PMCID: PMC10656948 DOI: 10.1093/cercor/bhad267] [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: 03/21/2023] [Revised: 06/30/2023] [Accepted: 07/01/2023] [Indexed: 08/01/2023] Open
Abstract
Pediatric overweight/obesity can lead to sleep-disordered breathing (SDB), abnormal neurological and cognitive development, and psychiatric problems, but the associations and interactions between these factors have not been fully explored. Therefore, we investigated the associations between body mass index (BMI), SDB, psychiatric and cognitive measures, and brain morphometry in 8484 children 9-11 years old using the Adolescent Brain Cognitive Development dataset. BMI was positively associated with SDB, and both were negatively correlated with cortical thickness in lingual gyrus and lateral orbitofrontal cortex, and cortical volumes in postcentral gyrus, precentral gyrus, precuneus, superior parietal lobule, and insula. Mediation analysis showed that SDB partially mediated the effect of overweight/obesity on these brain regions. Dimensional psychopathology (including aggressive behavior and externalizing problem) and cognitive function were correlated with BMI and SDB. SDB and cortical volumes in precentral gyrus and insula mediated the correlations between BMI and externalizing problem and matrix reasoning ability. Comparisons by sex showed that obesity and SDB had a greater impact on brain measures, cognitive function, and mental health in girls than in boys. These findings suggest that preventing childhood obesity will help decrease SDB symptom burden, abnormal neurological and cognitive development, and psychiatric problems.
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Affiliation(s)
- Jianqi Cui
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Minmin Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Jiayu Xu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Haowen Qi
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Feifei Wu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yaqi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Fukun Jiang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Xiaorong Wei
- Kindergarten, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Xinbo Gao
- Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
- Chongqing Institute for Brain, Guangyang Bay Laboratory, Chongqing 400064, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
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21
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Kobiec T, Mardaraz C, Toro-Urrego N, Kölliker-Frers R, Capani F, Otero-Losada M. Neuroprotection in metabolic syndrome by environmental enrichment. A lifespan perspective. Front Neurosci 2023; 17:1214468. [PMID: 37638319 PMCID: PMC10447983 DOI: 10.3389/fnins.2023.1214468] [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: 04/29/2023] [Accepted: 07/17/2023] [Indexed: 08/29/2023] Open
Abstract
Metabolic syndrome (MetS) is defined by the concurrence of different metabolic conditions: obesity, hypertension, dyslipidemia, and hyperglycemia. Its incidence has been increasingly rising over the past decades and has become a global health problem. MetS has deleterious consequences on the central nervous system (CNS) and neurological development. MetS can last several years or be lifelong, affecting the CNS in different ways and treatments can help manage condition, though there is no known cure. The early childhood years are extremely important in neurodevelopment, which extends beyond, encompassing a lifetime. Neuroplastic changes take place all life through - childhood, adolescence, adulthood, and old age - are highly sensitive to environmental input. Environmental factors have an important role in the etiopathogenesis and treatment of MetS, so environmental enrichment (EE) stands as a promising non-invasive therapeutic approach. While the EE paradigm has been designed for animal housing, its principles can be and actually are applied in cognitive, sensory, social, and physical stimulation programs for humans. Here, we briefly review the central milestones in neurodevelopment at each life stage, along with the research studies carried out on how MetS affects neurodevelopment at each life stage and the contributions that EE models can provide to improve health over the lifespan.
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Affiliation(s)
- Tamara Kobiec
- Facultad de Psicología, Centro de Investigaciones en Psicología y Psicopedagogía, Pontificia Universidad Católica Argentina, Buenos Aires, Argentina
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Claudia Mardaraz
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Nicolás Toro-Urrego
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Rodolfo Kölliker-Frers
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Francisco Capani
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
- Facultad de Ciencias de la Salud, Instituto de Ciencias Biomédicas, Universidad Autónoma de Chile, Santiago, Chile
| | - Matilde Otero-Losada
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
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Esmaili M, Farhud DD, Poushaneh K, Baghdassarians A, Ashayeri H. Executive Functions and Public Health: A Narrative Review. IRANIAN JOURNAL OF PUBLIC HEALTH 2023; 52:1589-1599. [PMID: 37744538 PMCID: PMC10512143 DOI: 10.18502/ijph.v52i8.13398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/10/2023] [Indexed: 09/26/2023]
Abstract
Executive functions (EFs) skills are necessary for regulating the thoughts, emotions, and actions which are associated with many aspects of daily functioning. Executive dysfunction (EDFs) is present in a wide range of mental disorders. New study indicates that EFs may predict health behavior and make it easier to engage in a variety of healthy activities. In this narrative review, EFs and public health are briefly discussed. In general, 133 articles met the inclusion criteria (published 2018-2023) which were reviewed. EFs affect the mental and physical health. Besides individual problems, people with mental problems have heavy costs to society. Mental health cannot be considered separately from general health. Consequently, preventive and therapeutic approaches to mental health should be considered not only at the level of the whole society, but also at the global level.
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Affiliation(s)
- Mina Esmaili
- Department of Psychology, Faculty of Psychology and Educational Sciences, Central Tehran Branch, Islamic Azad University Tehran, Iran
| | - Dariush D. Farhud
- School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Department of Basic Sciences, Iranian Academy of Medical Sciences, Tehran, Iran
| | - Kambiz Poushaneh
- Department of Psychology, Faculty of Psychology and Educational Sciences, Central Tehran Branch, Islamic Azad University Tehran, Iran
| | - Anita Baghdassarians
- Department of Psychology, Faculty of Psychology and Educational Sciences, Central Tehran Branch, Islamic Azad University Tehran, Iran
| | - Hassan Ashayeri
- Department of Basic Sciences, Faculty of Rehabilitation Sciences, Tehran University of Medical Sciences, Tehran, Iran
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23
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Sadler JR, Thapaliya G, Ranganath K, Gabay A, Chen L, Smith KR, Osorio RS, Convit A, Carnell S. Paediatric obesity and metabolic syndrome associations with cognition and the brain in youth: Current evidence and future directions. Pediatr Obes 2023; 18:e13042. [PMID: 37202148 PMCID: PMC10826337 DOI: 10.1111/ijpo.13042] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 03/14/2023] [Accepted: 04/18/2023] [Indexed: 05/20/2023]
Abstract
Obesity and components of the metabolic syndrome (MetS) are associated with differences in brain structure and function and in general and food-related cognition in adults. Here, we review evidence for similar phenomena in children and adolescents, with a focus on the implications of extant research for possible underlying mechanisms and potential interventions for obesity and MetS in youth. Current evidence is limited by a relative reliance on small cross-sectional studies. However, we find that youth with obesity and MetS or MetS components show differences in brain structure, including alterations in grey matter volume and cortical thickness across brain regions subserving reward, cognitive control and other functions, as well as in white matter integrity and volume. Children with obesity and MetS components also show some evidence for hyperresponsivity of food reward regions and hyporesponsivity of cognitive control circuits during food-related tasks, altered brain responses to food tastes, and altered resting-state connectivity including between cognitive control and reward processing networks. Potential mechanisms for these findings include neuroinflammation, impaired vascular reactivity, and effects of diet and obesity on myelination and dopamine function. Future observational research using longitudinal measures, improved sampling strategies and study designs, and rigorous statistical methods, promises to further illuminate dynamic relationships and causal mechanisms. Intervention studies targeted at modifiable biological and behavioural factors associated with paediatric obesity and MetS can further inform mechanisms, as well as test whether brain and behaviour can be altered for beneficial outcomes.
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Affiliation(s)
- Jennifer R. Sadler
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Gita Thapaliya
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kushi Ranganath
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andrea Gabay
- Department of Psychiatry, New York University School of Medicine, New York, New York, USA
| | - Liuyi Chen
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kimberly R. Smith
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ricardo S. Osorio
- Department of Psychiatry, New York University School of Medicine, New York, New York, USA
- Nathan Kline Institute, Orangeburg, New York, USA
| | - Antonio Convit
- Department of Psychiatry, New York University School of Medicine, New York, New York, USA
- Nathan Kline Institute, Orangeburg, New York, USA
| | - Susan Carnell
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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24
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Suárez Bagnasco M, Paz EFV, Jerez J, Gonzalez A. Association between intelligence quotient scores and body mass index in pediatric multiple sclerosis. APPLIED NEUROPSYCHOLOGY. CHILD 2023; 12:227-234. [PMID: 35705260 DOI: 10.1080/21622965.2022.2082874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The aim of this study is to examine the relationship between body mass index (BMI) and intelligence quotient scores (IQ). The sample included 11 patients with pediatric multiple sclerosis between 8 and 17 years, mean age 14.45 years (SD = 2.69). The BMI was calculated as weight in kilograms divided by the square of height in meters. The Wechsler Intelligence Scale for Children V and the Abbreviated Weschler Intelligence Scale were used to measure total IQ. Average sample BMI and IQ were 24.61 (SD = 5.53) (range: 19-39.4) and 86.63 (SD = 14.79) (range: 66-111), respectively. Results of the Pearson correlation indicated that there was a significant negative association between BMI and IQ, (r = -0.608, p = 0.042). R-squared was 0.370. We discuss if lower IQ lead to BMI gains or whether overweight/obesity lead to intellectual functioning changes. Implication for practice and future research are presented.
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Affiliation(s)
- Mariana Suárez Bagnasco
- Department of Child Neurology, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
- Catholic University of Uruguay, Montevideo, Uruguay
| | | | - Javier Jerez
- Department of Child Neurology, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Alejandra Gonzalez
- Department of Child Neurology, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
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25
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Szczerbowska-Boruchowska M, Piana K, Surowka AD, Czyzycki M, Wrobel P, Szymkowski M, Ziomber-Lisiak A. A combined X-ray fluorescence and infrared microspectroscopy study for new insights into elemental-biomolecular obesity-induced changes in rat brain structures. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 293:122478. [PMID: 36801735 DOI: 10.1016/j.saa.2023.122478] [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: 11/28/2022] [Revised: 01/28/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
The objective of our research was to determine the brain changes at the molecular and elemental levels typical of early-stage obesity. Therefore a combined approach using Fourier transform infrared micro-spectroscopy (FTIR-MS) and synchrotron radiation induced X-ray fluorescence (SRXRF) was introduced to evaluate some brain macromolecular and elemental parameters in high-calorie diet (HCD)- induced obese rats (OB, n = 6) and in their lean counterparts (L, n = 6). A HCD was found to alter the lipid- and protein- related structure and elemental composition of the certain brain areas important for energy homeostasis. The increased lipid unsaturation in the frontal cortex and ventral tegmental area, the increased fatty acyl chain length in the lateral hypothalamus and substantia nigra as well as the decreased both protein α helix to protein β- sheet ratio and the percentage fraction of β-turns and β-sheets in the nucleus accumbens were revealed in the OB group reflecting obesity-related brain biomolecular aberrations. In addition, the certain brain elements including P, K and Ca were found to differentiate the lean and obese groups at the best extent. We can conclude that HCD-induced obesity triggers lipid- and protein- related structural changes as well as elemental redistribution within various brain structures important for energy homeostasis. In addition, an approach applying combined X-ray and infrared spectroscopy was shown to be a reliable tool for identifying elemental-biomolecular rat brain changes for better understanding the interplay between the chemical and structural processes involved in appetite control.
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Affiliation(s)
| | - Kaja Piana
- AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
| | - Artur D Surowka
- Elettra-Sincrotrone Trieste SCpA, SS 14, km 163.5, Basovizza, TS 34149 Trieste, Italy
| | - Mateusz Czyzycki
- AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Al. A. Mickiewicza 30, 30-059 Krakow, Poland; Karlsruhe Institute of Technology, Institute for Photon Science and Synchrotron Radiation, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany; International Atomic Energy Agency, Nuclear Science and Instrumentation Laboratory, Friedensstrasse 1, 2444 Seibersdorf, Austria
| | - Pawel Wrobel
- AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
| | - Maciej Szymkowski
- Bialystok University of Technology, Faculty of Computer Science, ul. Wiejska 45A, 15-351 Białystok, Poland
| | - Agata Ziomber-Lisiak
- Chair of Pathophysiology, Faculty of Medicine, Jagiellonian University Medical College, ul. Czysta 18, 31-121 Krakow, Poland
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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: 2] [Impact Index Per Article: 2.0] [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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Brooks SJ, Smith C, Stamoulis C. Excess BMI in early adolescence adversely impacts maturating functional circuits supporting high-level cognition and their structural correlates. Int J Obes (Lond) 2023:10.1038/s41366-023-01303-7. [PMID: 37012426 DOI: 10.1038/s41366-023-01303-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND/OBJECTIVES Adverse effects of excess BMI (affecting 1 in 5 children in the US) on brain circuits during neurodevelopmentally vulnerable periods are incompletely understood. This study investigated BMI-related alterations in maturating functional networks and their underlying brain structures, and high-level cognition in early adolescence. SUBJECTS/METHODS Cross-sectional resting-state fMRI, structural sMRI, neurocognitive task scores, and BMI from 4922 youth [median (IQR) age = 120.0 (13.0) months, 2572 females (52.25%)] from the Adolescent Brain Cognitive Development (ABCD) cohort were analyzed. Comprehensive topological and morphometric network properties were estimated from fMRI and sMRI, respectively. Cross-validated linear regression models assessed correlations with BMI. Results were reproduced across multiple fMRI datasets. RESULTS Almost 30% of youth had excess BMI, including 736 (15.0%) with overweight and 672 (13.7%) with obesity, and statistically more Black and Hispanic compared to white, Asian and non-Hispanic youth (p < 0.01). Those with obesity or overweight were less physically active, slept less than recommended, snored more frequently, and spent more time using an electronic device (p < 0.01). They also had lower topological efficiency, resilience, connectivity, connectedness and clustering in Default-Mode, dorsal attention, salience, control, limbic, and reward networks (p ≤ 0.04, Cohen's d: 0.07-0.39). Lower cortico-thalamic efficiency and connectivity were estimated only in youth with obesity (p < 0.01, Cohen's d: 0.09-0.19). Both groups had lower cortical thickness, volume and white matter intensity in these networks' constituent structures, particularly anterior cingulate, entorhinal, prefrontal, and lateral occipital cortices (p < 0.01, Cohen's d: 0.12-0.30), which also mediated inverse relationships between BMI and regional functional topologies. Youth with obesity or overweight had lower scores in a task measuring fluid reasoning - a core aspect of cognitive function, which were partially correlated with topological changes (p ≤ 0.04). CONCLUSIONS Excess BMI in early adolescence may be associated with profound aberrant topological alterations in maturating functional circuits and underdeveloped brain structures that adversely impact core aspects of cognitive function.
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Affiliation(s)
- Skylar J Brooks
- Boston Children's Hospital, Department of Pediatrics, Division of Adolescent Medicine, Boston, MA, USA
- University of California Berkeley, Helen Wills Neuroscience Institute, Berkeley, CA, USA
| | - Calli Smith
- Boston Children's Hospital, Department of Pediatrics, Division of Adolescent Medicine, Boston, MA, USA
| | - Catherine Stamoulis
- Boston Children's Hospital, Department of Pediatrics, Division of Adolescent Medicine, Boston, MA, USA.
- Harvard Medical School, Department of Pediatrics, Boston, MA, USA.
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Kennedy KG, Islam AH, Karthikeyan S, Metcalfe AWS, McCrindle BW, MacIntosh BJ, Black S, Goldstein BI. Differential association of endothelial function with brain structure in youth with versus without bipolar disorder. J Psychosom Res 2023; 167:111180. [PMID: 36764023 DOI: 10.1016/j.jpsychores.2023.111180] [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: 11/17/2022] [Revised: 01/22/2023] [Accepted: 01/29/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND Mood symptoms and disorders are associated with impaired endothelial function, a marker of early atherosclerosis. Given the increased vascular burden and neurostructural differences among individuals with mood disorders, we investigated the endothelial function and brain structure interface in relation to youth bipolar disorder (BD). METHODS This cross-sectional case-controlled study included 115 youth, ages 13-20 years (n = 66 BD; n = 49 controls [CG]). Cortical thickness and volume for regions of interest (ROI; insular cortex, ventrolateral prefrontal cortex [vlPFC], temporal lobe) were acquired from FreeSurfer processed T1-weighted MRI images. Endothelial function was assessed using pulse amplitude tonometry, yielding a reactive hyperemia index (RHI). ROI and vertex-wise analyses controlling for age, sex, obesity, and intracranial volume investigated for RHI-neurostructural associations, and RHI-by-diagnosis interactions. RESULTS In ROI analyses, higher RHI (i.e., better endothelial function) was associated with lower thickness in the insular cortex (β = -0.19, pFDR = 0.03), vlPFC (β = -0.30, pFDR = 0.003), and temporal lobe (β = -0.22, pFDR = 0.01); and lower temporal lobe volume (β = -0.16, pFDR = 0.01) in the overall sample. In vertex-wise analyses, higher RHI was associated with lower cortical thickness and volume in the insular cortex, prefrontal cortex (e.g., vlPFC), and temporal lobe. Additionally, higher RHI was associated with lower vlPFC and temporal lobe volume to a greater extent in youth with BD vs. CG. CONCLUSIONS Better endothelial function was associated with lower regional brain thickness and volume, contrasting the hypothesized associations. Additionally, we found evidence that this pattern was exaggerated in youth with BD. Future studies examining the direction of the observed associations and underlying mechanisms are warranted.
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Affiliation(s)
- Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada; Department of Pharmacology, University of Toronto, Toronto, ON, Canada.
| | - Alvi H Islam
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada; Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Sudhir Karthikeyan
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada.
| | - Arron W S Metcalfe
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada
| | - Brian W McCrindle
- Faculty of Medicine, University of Toronto, Toronto, Canada; Hospital for Sick Children, Toronto, Canada; Labatt Family Heart Centre, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada.
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Canada; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada; Computational Radiology & Artificial Intelligence (CRAI) Unit, Dept of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
| | - Sandra Black
- Faculty of Medicine, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Canada; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Canada.
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada; Department of Pharmacology, University of Toronto, Toronto, ON, Canada; Faculty of Medicine, University of Toronto, Toronto, Canada.
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Jiang F, Li G, Ji W, Zhang Y, Wu F, Hu Y, Zhang W, Manza P, Tomasi D, Volkow ND, Gao X, Wang GJ, Zhang Y. Obesity is associated with decreased gray matter volume in children: a longitudinal study. Cereb Cortex 2023; 33:3674-3682. [PMID: 35989308 PMCID: PMC10068275 DOI: 10.1093/cercor/bhac300] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 11/15/2022] Open
Abstract
Childhood obesity has become a global health problem. Previous studies showed that childhood obesity is associated with brain structural differences relative to controls. However, few studies have been performed with longitudinal evaluations of brain structural developmental trajectories in childhood obesity. We employed voxel-based morphometry (VBM) analysis to assess gray matter (GM) volume at baseline and 2-year follow-up in 258 obese children (OB) and 265 normal weight children (NW), recruited as part of the National Institutes of Health Adolescent Brain and Cognitive Development study. Significant group × time effects on GM volume were observed in the prefrontal lobe, thalamus, right precentral gyrus, caudate, and parahippocampal gyrus/amygdala. OB compared with NW had greater reductions in GM volume in these regions over the 2-year period. Body mass index (BMI) was negatively correlated with GM volume in prefrontal lobe and with matrix reasoning ability at baseline and 2-year follow-up. In OB, Picture Test was positively correlated with GM volume in the left orbital region of the inferior frontal gyrus (OFCinf_L) at baseline and was negatively correlated with reductions in OFCinf_L volume (2-year follow-up vs. baseline). These findings indicate that childhood obesity is associated with GM volume reduction in regions involved with reward evaluation, executive function, and cognitive performance.
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Affiliation(s)
- Fukun Jiang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yaqi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Feifei Wu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, United States
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, United States
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, United States
| | - Xinbo Gao
- Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
- Guangyang Bay Laboratory, Chongqing Institute for Brain and Intelligence, Chongqing 400064, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, United States
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
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Lee MH, Sin S, Lee S, Wagshul ME, Zimmerman ME, Arens R. Cortical thickness and hippocampal volume in adolescent children with obstructive sleep apnea. Sleep 2023; 46:zsac201. [PMID: 36006869 PMCID: PMC9995789 DOI: 10.1093/sleep/zsac201] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/07/2022] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Intermittent hypoxia and sleep fragmentation due to obstructive sleep apnea (OSA) may contribute to oxidative tissue damage and apoptotic neuronal cell death, inflammation, and intracellular edema in the brain. We examined whether OSA in overweight and obese adolescent children is associated with cortical thickness and hippocampal structure compared to overweight and obese controls and whether OSA severity is associated with measures of brain integrity. METHODS We calculated cortical thickness and hippocampal subfield volumes from T1-weighted images of 45 controls (age 15.43 ± 1.73 years, 21 male) and 53 adolescent children with OSA (age 15.26 ± 1.63 years, 32 male) to investigate the association of childhood OSA with the alteration of cortical structure and hippocampal subfield structural changes. In addition, we investigated the correlation between OSA severity and cortical thickness or hippocampal subfield volume using Pearson's correlation analysis. RESULTS We found cortical thinning in the right superior parietal area of adolescent children with OSA (cluster size 32.29 mm2, cluster-wise corrected p-value = .030) that was negatively correlated with apnea-hypopnea index (AHI) (R=-0.27, p-value = .009) and arousal index (R=-0.25, p-value = .014). In addition, the volume of the right subiculum-head area of the hippocampus of adolescent children with OSA was larger than controls (0.19 ± 0.02 ml vs. 0.18 ± 0.02 ml, β = 13.79, false discovery rate corrected p-value = .044), and it was positively correlated with AHI (R = 0.23, p-value = .026) and arousal index (R = 0.31, p-value = .002). CONCLUSIONS Our findings provide evidence for OSA-associated brain structure alterations in adolescent children prior to the onset of treatment that likely have important implications for timely intervention and continued monitoring of health outcomes.
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Affiliation(s)
- Min-Hee Lee
- Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan 15355, Republic of Korea
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/ Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Seonjoo Lee
- Department of Biostatistics and Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY 10032, USA
| | - Mark E Wagshul
- Department of Radiology, Albert Einstein College of Medicine, Gruss MRRC, Bronx, NY 10467, USA
| | | | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/ Albert Einstein College of Medicine, Bronx, NY 10467, USA
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31
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Smith ML, Risse G, Sziklas V, Banks S, Small D, Frasnelli J, Klein D. Neurophysiology, Neuropsychology, Epilepsy, 2022: Hills We Have Climbed and the Hills Ahead. Cognition and Sensory Systems in Healthy and Diseased Subjects. Epilepsy Behav 2023; 140:109119. [PMID: 36804713 DOI: 10.1016/j.yebeh.2023.109119] [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: 12/23/2022] [Revised: 01/22/2023] [Accepted: 01/29/2023] [Indexed: 02/18/2023]
Abstract
This article summarizes selected presentations from a session titled "Cognition and Sensory Systems in Healthy and Diseased Subjects", held to highlight and honor the work of Dr. Marilyn Jones-Gotman. The session was part of a two-day symposium, "Neurophysiology, Neuropsychology, Epilepsy, 2022: Hills We Have Climbed and the Hills Ahead". The session presented research on epilepsy and sensory systems by colleagues and former trainees of Dr. Jones-Gotman. The extended summaries provide an overview of historical and current work in the neuropsychology of epilepsy, neuropsychological and neuroimaging approaches to understanding brain organization, sex differences in brain mechanisms underlying neurological disorders, dietary influences on brain function and cognition, and expertise in olfactory training and language experiences and their implications for brain organization and structure.
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Affiliation(s)
- Mary Lou Smith
- Department of Psychology, University of Toronto Mississauga; Neurosciences and Mental Health Program, The Hospital for Sick Children, Toronto, ON, Canada.
| | - Gail Risse
- Minnesota Epilepsy Group, Roseville, MN, USA; Department of Neurology, University of Minnesota, Minneapolis, MN, USA
| | - Viviane Sziklas
- Department of Neurology and Neurosurgery; Department of Psychology, McGill University, Montreal, QC, Canada
| | - Sarah Banks
- Departments of Neuroscience and Psychiatry, University of California, San Diego, CA, USA
| | - Dana Small
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Johannes Frasnelli
- Department of Anatomy, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
| | - Denise Klein
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
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32
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Hall PA, Best JR, Beaton EA, Sakib MN, Danckert J. Morphology of the prefrontal cortex predicts body composition in early adolescence: cognitive mediators and environmental moderators in the ABCD Study. Soc Cogn Affect Neurosci 2023; 18:nsab104. [PMID: 34471927 PMCID: PMC11305164 DOI: 10.1093/scan/nsab104] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/26/2021] [Accepted: 09/01/2021] [Indexed: 11/14/2022] Open
Abstract
Morphological features of the lateral prefrontal cortex (PFC) in late childhood and early adolescence may provide important clues as to the developmental etiology of clinical conditions such as obesity. Body composition measurements and structural brain imaging were performed on 11 226 youth at baseline (age 9 or 10 years) and follow-up (age 11 or 12 years). Baseline morphological features of the lateral PFC were examined as predictors of body composition. Findings revealed reliable associations between middle frontal gyrus volume, thickness and surface area and multiple indices of body composition. These findings were consistent across both time points and remained significant after covariate adjustment. Cortical thicknesses of the inferior frontal gyrus and lateral orbitofrontal cortex were also reliable predictors. Morphology effects on body composition were mediated by performance on a non-verbal reasoning task. Modest but reliable moderation effects were observed with respect to environmental self-regulatory demand after controlling for sex, race/ethnicity, income and methodological variables. Overall findings suggest that PFC morphology is a reliable predictor of body composition in early adolescence, as mediated through select cognitive functions and partially moderated by environmental characteristics.
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Affiliation(s)
- Peter A Hall
- School of Public Health Sciences, University of
Waterloo, Waterloo, ON N2L 3G1, Canada
| | - John R Best
- Gerontology Research Centre, Simon Fraser
University, Burnaby, BC V6B 5K3, Canada
| | - Elliott A Beaton
- Department of Psychology, University of New
Orleans, New Orleans, LA 70148, USA
| | - Mohammad N Sakib
- School of Public Health Sciences, University of
Waterloo, Waterloo, ON N2L 3G1, Canada
| | - James Danckert
- Department of Psychology, University of
Waterloo, Waterloo, ON N2L 3G1, Canada
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Hall PA, Best JR, Danckert J, Beaton EA, Lee JA. Morphometry of the lateral orbitofrontal cortex is associated with eating dispositions in early adolescence: findings from a large population-based study. Soc Cogn Affect Neurosci 2023; 18:6313497. [PMID: 34216137 PMCID: PMC9997071 DOI: 10.1093/scan/nsab084] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/11/2021] [Accepted: 06/29/2021] [Indexed: 11/13/2022] Open
Abstract
Early adolescence is a critical period for eating behaviors as children gain autonomy around food choice and peer influences increase in potency. From a neurodevelopmental perspective, significant structural changes take place in the prefrontal cortex during this time, including the orbitofrontal cortex (OFC), which is involved in socially contextualized decision-making. We examined the morphological features of the OFC in relation to food choice in a sample of 10 309 early adolescent children from the Adolescent Brain and Cognitive Development Study. Structural parameters of the OFC and insula were examined for relationships with two important aspects of food choice: limiting the consumption of fast/fried food and maximizing the consumption of nutritious foods. Raw, partially adjusted and fully adjusted models were evaluated. Findings revealed that a larger surface area of the lateral OFC was associated with higher odds of limiting fast/fried food consumption in raw [odds ratio (OR) = 1.07, confidence interval (CI): 1.02, 1.12, P = 0.002, PFDR = 0.012], partially adjusted (OR = 1.11, CI: 1.03, 1.19, P = 0.004, PFDR = 0.024) and fully adjusted models (OR = 1.11, CI: 1.03, 1.19, P = 0.006, PFDR = 0.036). In contrast, a larger insula volume was associated with lower odds of maximizing healthy foods in raw (OR = 0.94, CI: 0.91, 0.97, P <0.001, PFDR = 0.003) and partially adjusted (OR = 0.93, CI: 0.88, 0.98, P = 0.008, PFDR = 0.048) models. These findings refine our understanding of the OFC as a network node implicated in socially mediated eating behaviors.
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Affiliation(s)
- Peter A Hall
- School of Public Health Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - John R Best
- Gerontology Research Centre, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
| | - James Danckert
- Department of Psychology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Elliott A Beaton
- Department of Psychology, University of New Orleans, New Orleans, LA 70148, USA
| | - Jessica A Lee
- Department of Psychology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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Martin-Martinez C, Valenzuela PL, Martinez-Zamora M, Martinez-de-Quel Ó. School-based physical activity interventions and language skills: a systematic review and meta-analysis of randomized controlled trials. J Sci Med Sport 2023; 26:140-148. [PMID: 36609085 DOI: 10.1016/j.jsams.2022.12.007] [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: 09/27/2022] [Revised: 11/15/2022] [Accepted: 12/21/2022] [Indexed: 12/26/2022]
Abstract
OBJECTIVES School-based physical activity (PA) interventions have proven beneficial for improving cognitive performance and overall academic achievement, but their benefits on language skills remain unclear. We aimed to assess the effects of school-based PA interventions on language skills in children and adolescents. DESIGN Systematic review with meta-analysis. METHODS A systematic search was performed in PubMed, PsycINFO and Scopus until September 10th, 2022. We included randomized controlled trials (RCTs) that performed a school-based PA intervention in children/adolescents and that assessed language-related outcomes (i.e., reading, spelling, vocabulary, verbal fluency, comprehension and grammar) or language school grades. Random effect meta-analyses were conducted to pool study results. RESULTS Thirty-one studies (18,651 participants) were finally included. Significant benefits were observed for reading (standardized mean difference [SMD]: 0.15; 95% confidence interval [CI]: 0.08, 0.22), vocabulary (SMD: 0.71; 95%CI: 0.44, 0.97), and comprehension (SMD: 0.24; 95%CI: 0.09, 0.40), with a non-significant trend (p = 0.083) also observed for language school grades (SMD: 0.40; 95%CI: -0.05, 0.86). No significant benefits were observed for spelling or verbal fluency (both p > 0.05), and no meta-analysis could be performed for grammar skills. No consistent differences were observed between integrated (i.e., performing PA along with the academic content) and non-integrated PA interventions (e.g., extra physical education lessons). CONCLUSIONS School-based PA interventions appear as an effective strategy for improving different language-related skills, although further research is needed to determine how interventions' and participants' characteristics moderate these effects.
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Affiliation(s)
- Carlos Martin-Martinez
- Department of Didactics of Language, Arts and Physical Education, University Complutense of Madrid, Spain
| | - Pedro L Valenzuela
- Research Institute of the Hospital 12 de Octubre ("imas12", PaHerg group), Spain; Department of Systems Biology, University of Alcalá, Madrid, Spain. https://twitter.com/pl_valenzuela
| | - Marcos Martinez-Zamora
- Department of Didactics of Language, Arts and Physical Education, University Complutense of Madrid, Spain
| | - Óscar Martinez-de-Quel
- Department of Didactics of Language, Arts and Physical Education, University Complutense of Madrid, Spain; Faculty of Physical Activity and Sport Sciences-INEF, Technical University of Madrid, Madrid, Spain
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Adise S, Marshall AT, Hahn S, Zhao S, Kan E, Rhee KE, Herting MM, Sowell ER. Longitudinal assessment of brain structure and behaviour in youth with rapid weight gain: Potential contributing causes and consequences. Pediatr Obes 2023; 18:e12985. [PMID: 36253967 PMCID: PMC11075780 DOI: 10.1111/ijpo.12985] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 08/15/2022] [Accepted: 09/12/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Independent of weight status, rapid weight gain has been associated with underlying brain structure variation in regions associated with food intake and impulsivity among pre-adolescents. Yet, we lack clarity on how developmental maturation coincides with rapid weight gain and weight stability. METHODS We identified brain predictors of 2-year rapid weight gain and its longitudinal effects on brain structure and impulsivity in the Adolescent Brain Cognitive DevelopmentSM Study®. Youth were categorized as Healthy Weight/Weight Stable (WSHW , n = 527) or Weight Gainers (WG, n = 221, >38lbs); 63% of the WG group were healthy weight at 9-to-10-years-old. RESULTS A fivefold cross-validated logistic elastic-net regression revealed that rapid weight gain was associated with structural variation amongst 39 brain features at 9-to-10-years-old in regions involved with executive functioning, appetitive control and reward sensitivity. Two years later, WG youth showed differences in change over time in several of these regions and performed worse on measures of impulsivity. CONCLUSIONS These findings suggest that brain structure in pre-adolescence may predispose some to rapid weight gain and that weight gain itself may alter maturational brain change in regions important for food intake and impulsivity. Behavioural interventions that target inhibitory control may improve trajectories of brain maturation and facilitate healthier behaviours.
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Affiliation(s)
- Shana Adise
- Division of Pediatric Research Administration, Department of Pediatrics, Children’s Hospital of Los Angeles, Los Angeles, California, USA
| | - Andrew T. Marshall
- Division of Neurology, Department of Pediatrics, Children’s Hospital of Los Angeles, Los Angeles, California, USA
| | - Sage Hahn
- Department of Psychiatry, University of Vermont, Burlington, Vermont, USA
| | - Shaomin Zhao
- Division of Neurology, Department of Pediatrics, Children’s Hospital of Los Angeles, Los Angeles, California, USA
| | - Eric Kan
- Division of Pediatric Research Administration, Department of Pediatrics, Children’s Hospital of Los Angeles, Los Angeles, California, USA
| | - Kyung E. Rhee
- Department of Pediatrics, University of California, San Diego, San Diego, California, USA
| | - Megan M. Herting
- Departments of Population and Public Health Sciences and Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Elizabeth R. Sowell
- Division of Neurology, Department of Pediatrics, Children’s Hospital of Los Angeles, Los Angeles, California, USA
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Yang Y, Wang J, Qiu J, Feng T, He Q, Lei X, Chen H. Perigenual anterior cingulate cortex and its structural covariance as predictors for future body fat gain in young adults. Obesity (Silver Spring) 2023; 31:446-453. [PMID: 36617438 DOI: 10.1002/oby.23629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/16/2022] [Accepted: 09/29/2022] [Indexed: 01/10/2023]
Abstract
OBJECTIVE This study aimed to examine whether baseline gray matter (GM) volume and structural covariance patterns could predict body fat gain over 1 to 2 years in a relatively large sample. METHODS Voxel-based morphometry (VBM) analysis was applied to examine the association between baseline GM volume and body fat gain in 502 participants over 1 to 2 years. Furthermore, this study tested whether the structural covariances between the regions identified as seeds from VBM analysis and the rest of the brain were associated with future body fat gain. RESULTS A significant positive association was observed between baseline GM volume in the perigenual anterior cingulate cortex (pgACC) and body fat gain over 1 to 2 years. Furthermore, relative to those with lower future body fat gain, pgACC covaried more extensively with the middle frontal gyrus, middle temporal gyrus, inferior temporal gyrus, and cerebellum in participants with higher future body fat gain. CONCLUSIONS Using VBM and structural covariance network analysis, the current study revealed that higher GM volume of pgACC and its increased structural covariances with specific brain regions were associated with future weight gain, which may guide the development of more effective prevention and treatment interventions for obesity.
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Affiliation(s)
- Yingkai Yang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Junjie Wang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Tingyong Feng
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Qinghua He
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Xu Lei
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Hong Chen
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
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Likhitweerawong N, Khorana J, Boonchooduang N, Phinyo P, Patumanond J, Louthrenoo O. Associated biological and environmental factors of impaired executive function in
preschool‐aged
children: A
population‐based
study. INFANT AND CHILD DEVELOPMENT 2023. [DOI: 10.1002/icd.2404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
- Narueporn Likhitweerawong
- Division of Growth and Development, Department of Pediatrics, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
| | - Jiraporn Khorana
- Division of Pediatric Surgery, Department of Surgery, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
- Center of Clinical Epidemiology and Clinical Statistics, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
- Clinical Surgical Research Center, Department of Surgery, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
| | - Nonglak Boonchooduang
- Division of Growth and Development, Department of Pediatrics, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
| | - Phichayut Phinyo
- Center of Clinical Epidemiology and Clinical Statistics, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
- Department of Family Medicine, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
| | - Jayanton Patumanond
- Center of Clinical Epidemiology and Clinical Statistics, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
| | - Orawan Louthrenoo
- Division of Growth and Development, Department of Pediatrics, Faculty of Medicine Chiang Mai University Chiang Mai Thailand
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Feng Z, Duren Z, Xin J, Yuan Q, He Y, Su B, Wong WH, Wang Y. Heritability enrichment in context-specific regulatory networks improves phenotype-relevant tissue identification. eLife 2022; 11:82535. [PMID: 36525361 PMCID: PMC9810332 DOI: 10.7554/elife.82535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
Systems genetics holds the promise to decipher complex traits by interpreting their associated SNPs through gene regulatory networks derived from comprehensive multi-omics data of cell types, tissues, and organs. Here, we propose SpecVar to integrate paired chromatin accessibility and gene expression data into context-specific regulatory network atlas and regulatory categories, conduct heritability enrichment analysis with genome-wide association studies (GWAS) summary statistics, identify relevant tissues, and estimate relevance correlation to depict common genetic factors acting in the shared regulatory networks between traits. Our method improves power upon existing approaches by associating SNPs with context-specific regulatory elements to assess heritability enrichments and by explicitly prioritizing gene regulations underlying relevant tissues. Ablation studies, independent data validation, and comparison experiments with existing methods on GWAS of six phenotypes show that SpecVar can improve heritability enrichment, accurately detect relevant tissues, and reveal causal regulations. Furthermore, SpecVar correlates the relevance patterns for pairs of phenotypes and better reveals shared SNP-associated regulations of phenotypes than existing methods. Studying GWAS of 206 phenotypes in UK Biobank demonstrates that SpecVar leverages the context-specific regulatory network atlas to prioritize phenotypes' relevant tissues and shared heritability for biological and therapeutic insights. SpecVar provides a powerful way to interpret SNPs via context-specific regulatory networks and is available at https://github.com/AMSSwanglab/SpecVar, copy archived at swh:1:rev:cf27438d3f8245c34c357ec5f077528e6befe829.
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Affiliation(s)
- Zhanying Feng
- CEMS, NCMIS, HCMS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of SciencesBeijingChina
- School of Mathematics, University of Chinese Academy of Sciences, Chinese Academy of SciencesBeijingChina
| | - Zhana Duren
- Center for Human Genetics and Department of Genetics and Biochemistry, Clemson UniversityGreenwoodUnited States
| | - Jingxue Xin
- Department of Statistics, Department of Biomedical Data Science, Bio-X Program, Stanford UniversityStanfordUnited States
| | - Qiuyue Yuan
- Center for Human Genetics and Department of Genetics and Biochemistry, Clemson UniversityGreenwoodUnited States
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of SciencesKunmingChina
| | - Wing Hung Wong
- Department of Statistics, Department of Biomedical Data Science, Bio-X Program, Stanford UniversityStanfordUnited States
| | - Yong Wang
- CEMS, NCMIS, HCMS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of SciencesBeijingChina
- School of Mathematics, University of Chinese Academy of Sciences, Chinese Academy of SciencesBeijingChina
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of SciencesKunmingChina
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of SciencesHangzhouChina
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Ramírez V, González-Palacios P, Baca MA, González-Domenech PJ, Fernández-Cabezas M, Álvarez-Cubero MJ, Rodrigo L, Rivas A. Effect of exposure to endocrine disrupting chemicals in obesity and neurodevelopment: The genetic and microbiota link. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 852:158219. [PMID: 36007653 DOI: 10.1016/j.scitotenv.2022.158219] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/06/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
Current evidence highlights the importance of the genetic component in obesity and neurodevelopmental disorders (attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and intellectual disability (ID)), given that these diseases have reported an elevated heritability. Additionally, environmental stressors, such as endocrine disrupting chemicals (EDCs) have been classified as obesogens, neuroendocrine disruptors, and microbiota disrupting chemicals (MDCs). For this reason, the importance of this work lies in examining two possible biological mechanistic pathways linking obesity and neurodevelopmental/behavioural disorders: EDCs - gene and EDCs - microbiota interactions. First, we summarise the shared mechanisms of action of EDCs and the common genetic profile in the bidirectional link between obesity and neurodevelopment. In relation to interaction models, evidence from the reviewed studies reveals significant interactions between pesticides/heavy metals and gene polymorphisms of detoxifying and neurotransmission systems and metal homeostasis on cognitive development, ASD and ADHD symptomatology. Nonetheless, available literature about obesity is quite limited. Importantly, EDCs have been found to induce gut microbiota changes through gut-brain-microbiota axis conferring susceptibility to obesity and neurodevelopmental disorders. In view of the lack of studies assessing the impact of EDCs - gene interactions and EDCs - mediated dysbiosis jointly in obesity and neurodevelopment, we support considering genetics, EDCs exposure, and microbiota as interactive factors rather than individual contributors to the risk for developing obesity and neurodevelopmental disabilities at the same time.
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Affiliation(s)
- Viviana Ramírez
- Department of Nutrition and Food Science, Faculty of Pharmacy, University of Granada, 18071 Granada, Spain; GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government PTS Granada - Avenida de la Ilustración, 114, 18016 Granada, Spain; "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA), Biomedical Research Centre (CIBM), University of Granada, 18100 Granada, Spain
| | - Patricia González-Palacios
- Department of Nutrition and Food Science, Faculty of Pharmacy, University of Granada, 18071 Granada, Spain.
| | | | | | - María Fernández-Cabezas
- Department of Developmental and Educational Psychology, Faculty of Educational Sciences, University of Granada, 18011 Granada, Spain
| | - María Jesús Álvarez-Cubero
- GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government PTS Granada - Avenida de la Ilustración, 114, 18016 Granada, Spain; Department of Biochemistry and Molecular Biology III, Faculty of Medicine, University of Granada, 18016 Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, 18014 Granada, Spain
| | - Lourdes Rodrigo
- Department of Legal Medicine and Toxicology, Faculty of Medicine, University of Granada, 18016 Granada, Spain
| | - Ana Rivas
- Department of Nutrition and Food Science, Faculty of Pharmacy, University of Granada, 18071 Granada, Spain; "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA), Biomedical Research Centre (CIBM), University of Granada, 18100 Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, 18014 Granada, Spain
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40
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Novel neuroelectrophysiological age index associated with imaging features of brain aging and sleep disorders. Neuroimage 2022; 264:119753. [PMID: 36400380 DOI: 10.1016/j.neuroimage.2022.119753] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/08/2022] [Accepted: 11/14/2022] [Indexed: 11/16/2022] Open
Abstract
Sleep architecture and microstructures alter with aging and sleep disorder-led accelerated aging. We proposed a sleep EEG based brain age prediction model using convolutional neural networks. We then associated the estimated brain age index with brain structural aging features, sleep disorders and various sleep parameters. Our model also showed a higher BAI (predicted brain age minus chronological age) is associated with cortical thinning in various functional areas. We found a higher BAI for sleep disorder groups compared to healthy sleepers, as well as significant differences in the spectral pattern of EEG among different sleep disorders (lower power in slow and ϑ waves for sleep apnea vs. higher power in β and σ for insomnia), suggesting sleep disorder-dependent pathomechanisms of aging. Our results demonstrate that the new EEG-BAI can be a biomarker reflecting brain health in normal and various sleep disorder subjects, and may be used to assess treatment efficacy.
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Abstract
Childhood obesity is, according to the WHO, one of the most serious challenges of the 21st century. More than 100 million children have obesity today. Already during childhood, almost all organs are at risk of being affected by obesity. In this review, we present the current knowledge about diseases associated with childhood obesity and how they are affected by weight loss. One major causative factor is obesity-induced low-grade chronic inflammation, which can be observed already in preschool children. This inflammation-together with endocrine, paracrine, and metabolic effects of obesity-increases the long-term risk for several severe diseases. Type 2 diabetes is increasingly prevalent in adolescents and young adults who have had obesity during childhood. When it is diagnosed in young individuals, the morbidity and mortality rate is higher than when it occurs later in life, and more dangerous than type 1 diabetes. Childhood obesity also increases the risk for several autoimmune diseases such as multiple sclerosis, Crohn's disease, arthritis, and type 1 diabetes and it is well established that childhood obesity also increases the risk for cardiovascular disease. Consequently, childhood obesity increases the risk for premature mortality, and the mortality rate is three times higher already before 30 years of age compared with the normal population. The risks associated with childhood obesity are modified by weight loss. However, the risk reduction is affected by the age at which weight loss occurs. In general, early weight loss-that is, before puberty-is more beneficial, but there are marked disease-specific differences.
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Affiliation(s)
- Claude Marcus
- Division of Pediatrics, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Pernilla Danielsson
- Division of Pediatrics, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Emilia Hagman
- Division of Pediatrics, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
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42
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Wang Y, Dong D, Chen X, Gao X, Liu Y, Xiao M, Guo C, Chen H. Individualized morphometric similarity predicts body mass index and food approach behavior in school-age children. Cereb Cortex 2022; 33:4794-4805. [PMID: 36300597 DOI: 10.1093/cercor/bhac380] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 11/15/2022] Open
Abstract
Abstract
Childhood obesity is associated with alterations in brain structure. Previous studies generally used a single structural index to characterize the relationship between body mass index(BMI) and brain structure, which could not describe the alterations of structural covariance between brain regions. To cover this research gap, this study utilized two independent datasets with brain structure profiles and BMI of 155 school-aged children. Connectome-based predictive modeling(CPM) was used to explore whether children’s BMI is reliably predictable by the novel individualized morphometric similarity network(MSN). We revealed the MSN can predict the BMI in school-age children with good generalizability to unseen dataset. Moreover, these revealed significant brain structure covariant networks can further predict children’s food approach behavior. The positive predictive networks mainly incorporated connections between the frontoparietal network(FPN) and the visual network(VN), between the FPN and the limbic network(LN), between the default mode network(DMN) and the LN. The negative predictive network primarily incorporated connections between the FPN and DMN. These results suggested that the incomplete integration of the high-order brain networks and the decreased dedifferentiation of the high-order networks to the primary reward networks can be considered as a core structural basis of the imbalance between inhibitory control and reward processing in childhood obesity.
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Affiliation(s)
- Yulin Wang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University , Chongqing, 400715, China
- Key Laboratory of Cognition and Personality of Ministry of Education , Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Debo Dong
- Key Laboratory of Cognition and Personality of Ministry of Education , Faculty of Psychology, Southwest University, Chongqing, 400715, China
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7) , Research Centre Jülich, Jülich, Germany
| | - Ximei Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology , Southwest University, Chongqing, 400715, China
| | - Xiao Gao
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University , Chongqing, 400715, China
| | - Yong Liu
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University , Chongqing, 400715, China
| | - Mingyue Xiao
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University , Chongqing, 400715, China
| | - Cheng Guo
- Research Center of Mental Health Education, Faculty of Psychology, Southwest University , Chongqing, 400715, Germany
| | - Hong Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology , Southwest University, Chongqing, 400715, China
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43
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Shao X, Tan LH, He L. Physical activity and exercise alter cognitive abilities, and brain structure and activity in obese children. Front Neurosci 2022; 16:1019129. [PMID: 36340766 PMCID: PMC9631829 DOI: 10.3389/fnins.2022.1019129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 10/05/2022] [Indexed: 11/30/2022] Open
Abstract
The prevalence of childhood obesity is increasing to such an extent that it has become a major global public health problem in the 21st century. Obesity alters children’s brain structure and activity and impairs their cognitive abilities. On the basis of these findings, it is necessary for educational and healthcare institutions to combat childhood obesity through preventive and therapeutic strategies. In general, exercise and physical activity are considered common but effective methods for improving physical, psychological, and brain health across the life span. Therefore, this review article mainly focuses on existing neuroimaging studies that have used magnetic resonance imaging (MRI), and functional magnetic resonance imaging (fMRI)to assess children’s brain anatomy and neural activity. We intended to explore the roles of physical activity and exercise in modulating the associations among childhood obesity, cognitive abilities, and the structure and activity of the brain.
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Affiliation(s)
- Xueyun Shao
- School of Sports, Shenzhen University, Shenzhen, China
- Shenzhen Institute of Neuroscience, Shenzhen, China
- *Correspondence: Xueyun Shao,
| | - Li Hai Tan
- Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Longfei He
- School of Sports, Shenzhen University, Shenzhen, China
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Zhu Y, Sun F, Tao S, Cooper SB, Gao TY. Association between nutritional status, physical fitness and executive functions in preadolescents: A person-centered approach. Front Pediatr 2022; 10:966510. [PMID: 36324818 PMCID: PMC9618937 DOI: 10.3389/fped.2022.966510] [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] [Received: 06/11/2022] [Accepted: 09/27/2022] [Indexed: 11/13/2022] Open
Abstract
Objective In the current study, a person-centered approach was adopted to investigate the relationship between nutritional status and physical fitness profiles and executive functions (EF) in preadolescents. Methods Participants (M age = 10.8 years; Male = 50.8%) were recruited from two primary schools in Hong Kong. Nutritional status [body mass index (BMI)], physical fitness including cardiorespiratory fitness (CRF, predicted VO2max, multi-stage fitness test) and speed-agility (20-m sprint) were measured on school days. EF performance was measured using the Flanker task (inhibition) and the Sternberg task (working memory). Results Data from 120 preadolescents were considered valid. Three distinct profiles were identified by a person-centered approach. Profile 1 was featured by high BMI (21.61 ± 3.38 kg/m2), poor VO2max (33.29 ± 23.96 ml/kg/min), and slow 20-m sprint (4.51 ± 0.13 s). Profile 2 was featured by low BMI (15.99 ± 3.38), fair VO2max (44.98 ± 23.96) and fast 20-m sprint (3.97 ± 0.13). Profile 3 was featured by low BMI (15.63 ± 3.38), poor VO2max (32.37 ± 23.96), and slow 20-m sprint (4.48 ± 0.13). Wald chi-square test revealed preadolescents in profile 1 and profile 2 performed better than profile 3 in accuracy of Flanker task (1 vs. 3: χ 2 = 12.23, P < 0.001; 2 vs. 3: χ 2 = 10.86, P = 0.001). That is, for normal weight preadolescents with poor CRF and speed-agility, those with superior nutritional status performed better in inhibition. For normal weight preadolescents with poor nutritional status, those with superior CRF and speed-agility had better inhibitory capacity. Conclusion Compared to the commonly used variable-centered approach, this person-centered approach is a valuable addition that expands the understanding of the association between nutritional status, physical fitness and EF in preadolescents. Results are discussed with regards to maximizing health behaviors and implications for educational policy.
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Affiliation(s)
- Yuxin Zhu
- Syns Institute of Educational Research, Hong Kong, Hong Kong SAR, China
| | - Fenghua Sun
- Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Sisi Tao
- Centre for Information Technology in Education, Faculty of Education, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Simon B. Cooper
- Exercise / Health Research Group, Sport, Health and Performance Enhancement (SHAPE) Research Centre, Department of Sport Science, Nottingham Trent University, Nottingham, United Kingdom
| | - Tian-Yu Gao
- School of Physical Education, Jinan University, Guangzhou, China
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Patraca-Camacho L, Cibrián-Llanderal T, Acosta-Mesa HG, Rodríguez-Landa JF, Romo-González T, Rosas-Nexticapa M, Herrera-Meza S. Assessment of executive functions and physical activity in girls and boys with normal weight, overweight and obesity. Pediatr Obes 2022; 17:e12930. [PMID: 35642172 DOI: 10.1111/ijpo.12930] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/28/2022] [Accepted: 05/02/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To evaluate the association between body mass index (BMI) and performance of executive functions (EFs) in girls and boys with 9- and 10-year-old schoolchildren with moderate- to vigorous-intensity physical activity (MVPA) and sedentary behaviour. METHODS A total of 120 schoolchildren (61 girls and 59 boys) were evaluated anthropometrically. The MVPA was evaluated with a self-report questionnaire. EFs were measured using a neuropsychological battery of Executive Functions and Frontal Lobes-2 (BANFE-2). RESULTS A high BMI was associated with longer delay in completing inhibitory control tests (p = 0.00, rp = 0.32) and working memory (p = 0.00, rp = 0.26). We observed correlations in time (p = 0.00, rp = -0.43) and hits (p = 0.04, rp = -0.27) of self-directed signalling test in boys; and girls in alphabetical words order (p = 0.00, rp = -0.39). Active normal weight schoolchildren (ANw) performed better by successfully completed the working memory tasks (H = 26.97, p = 0.00) than sedentary schoolchildren with overweight and obesity. In addition, overweight-active schoolchildren (AOw) showed better performance on working memory tests in time (p = 0.00) and hits (p = 0.01) than their sedentary peers. Multiple linear regression analysis revealed a significant association between BMI and EFs scores (F = 2.41, df = 98, p = 0.001). CONCLUSIONS EFs are affected by a high BMI and sedentary behaviour in school children. Boys and girls reflected differences to solve the same challenges. The MVPA has a positive effect on executive control skills mainly in overweight children.
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Affiliation(s)
- Lorena Patraca-Camacho
- Programa de Doctorado en Neuroetología, Instituto de Neuroetología, Universidad Veracruzana, Xalapa, Mexico
| | | | | | | | - Tania Romo-González
- Instituto de Investigaciones Biológicas, Universidad Veracruzana, Xalapa, Mexico
| | | | - Socorro Herrera-Meza
- Instituto de Investigaciones Psicológicas, Universidad Veracruzana, Xalapa, Mexico
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McWhinney SR, Brosch K, Calhoun VD, Crespo-Facorro B, Crossley NA, Dannlowski U, Dickie E, Dietze LMF, Donohoe G, Du Plessis S, Ehrlich S, Emsley R, Furstova P, Glahn DC, Gonzalez- Valderrama A, Grotegerd D, Holleran L, Kircher TTJ, Knytl P, Kolenic M, Lencer R, Nenadić I, Opel N, Pfarr JK, Rodrigue AL, Rootes-Murdy K, Ross AJ, Sim K, Škoch A, Spaniel F, Stein F, Švancer P, Tordesillas-Gutiérrez D, Undurraga J, Váquez-Bourgon J, Voineskos A, Walton E, Weickert TW, Weickert CS, Thompson PM, van Erp TGM, Turner JA, Hajek T. Obesity and brain structure in schizophrenia - ENIGMA study in 3021 individuals. Mol Psychiatry 2022; 27:3731-3737. [PMID: 35739320 PMCID: PMC9902274 DOI: 10.1038/s41380-022-01616-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/27/2022] [Accepted: 05/06/2022] [Indexed: 02/08/2023]
Abstract
Schizophrenia is frequently associated with obesity, which is linked with neurostructural alterations. Yet, we do not understand how the brain correlates of obesity map onto the brain changes in schizophrenia. We obtained MRI-derived brain cortical and subcortical measures and body mass index (BMI) from 1260 individuals with schizophrenia and 1761 controls from 12 independent research sites within the ENIGMA-Schizophrenia Working Group. We jointly modeled the statistical effects of schizophrenia and BMI using mixed effects. BMI was additively associated with structure of many of the same brain regions as schizophrenia, but the cortical and subcortical alterations in schizophrenia were more widespread and pronounced. Both BMI and schizophrenia were primarily associated with changes in cortical thickness, with fewer correlates in surface area. While, BMI was negatively associated with cortical thickness, the significant associations between BMI and surface area or subcortical volumes were positive. Lastly, the brain correlates of obesity were replicated among large studies and closely resembled neurostructural changes in major depressive disorders. We confirmed widespread associations between BMI and brain structure in individuals with schizophrenia. People with both obesity and schizophrenia showed more pronounced brain alterations than people with only one of these conditions. Obesity appears to be a relevant factor which could account for heterogeneity of brain imaging findings and for differences in brain imaging outcomes among people with schizophrenia.
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Affiliation(s)
- Sean R. McWhinney
- grid.55602.340000 0004 1936 8200Department of Psychiatry, Dalhousie University, Halifax, NS Canada
| | - Katharina Brosch
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Vince D. Calhoun
- grid.189967.80000 0001 0941 6502Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory University, Atlanta, GA USA
| | - Benedicto Crespo-Facorro
- grid.469673.90000 0004 5901 7501Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,grid.411109.c0000 0000 9542 1158IBiS, University Hospital Virgen del Rocio, Sevilla, Spain ,grid.9224.d0000 0001 2168 1229Department of Psychiatry, School of Medicine, University of Sevilla, Sevilla, Spain
| | - Nicolas A. Crossley
- grid.7870.80000 0001 2157 0406Department of Psychiatry, School of Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile ,grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Udo Dannlowski
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Erin Dickie
- grid.17063.330000 0001 2157 2938Centre for Addiction & Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Lorielle M. F. Dietze
- grid.55602.340000 0004 1936 8200Department of Psychiatry, Dalhousie University, Halifax, NS Canada
| | - Gary Donohoe
- grid.6142.10000 0004 0488 0789Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Stefan Du Plessis
- grid.11956.3a0000 0001 2214 904XDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa ,grid.415021.30000 0000 9155 0024SAMRC Genomics of Brain Disorders Unit, Cape Town, South Africa
| | - Stefan Ehrlich
- grid.4488.00000 0001 2111 7257Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Robin Emsley
- grid.11956.3a0000 0001 2214 904XDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Petra Furstova
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic
| | - David C. Glahn
- grid.2515.30000 0004 0378 8438Department of Psychiatry & Behavioral Sciences, Boston Children’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Harvard Medical School, Boston, MA USA ,grid.277313.30000 0001 0626 2712Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT USA
| | - Alfonso Gonzalez- Valderrama
- grid.440629.d0000 0004 5934 6911School of Medicine, Universidad Finis Terrae, Santiago, Chile ,Early Intervention in Psychosis Program, Instituto Psiquiátrico ‘Dr. José Horwitz B.’, Santiago, Chile
| | - Dominik Grotegerd
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Laurena Holleran
- grid.6142.10000 0004 0488 0789Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Tilo T. J. Kircher
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Pavel Knytl
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XCharles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Marian Kolenic
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XCharles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Rebekka Lencer
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany ,grid.4562.50000 0001 0057 2672Department of Pscyhiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Igor Nenadić
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Nils Opel
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany ,grid.9613.d0000 0001 1939 2794Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany
| | - Julia-Katharina Pfarr
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Amanda L. Rodrigue
- grid.2515.30000 0004 0378 8438Department of Psychiatry & Behavioral Sciences, Boston Children’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Kelly Rootes-Murdy
- grid.256304.60000 0004 1936 7400Department of Psychology, Georgia State University, Atlanta, GA USA
| | - Alex J. Ross
- grid.55602.340000 0004 1936 8200Department of Psychiatry, Dalhousie University, Halifax, NS Canada
| | - Kang Sim
- grid.414752.10000 0004 0469 9592West Region, Institute of Mental Health, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore ,grid.59025.3b0000 0001 2224 0361Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Antonín Škoch
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.418930.70000 0001 2299 1368Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Filip Spaniel
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XCharles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Frederike Stein
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Patrik Švancer
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XCharles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Diana Tordesillas-Gutiérrez
- grid.484299.a0000 0004 9288 8771Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain ,grid.469953.40000 0004 1757 2371Computación Avanzada y Ciencia, Instituto de Física de Cantabria, CSIC, Santander, Spain
| | - Juan Undurraga
- Early Intervention in Psychosis Program, Instituto Psiquiátrico ‘Dr. José Horwitz B.’, Santiago, Chile ,grid.412187.90000 0000 9631 4901Department of Neurology and Psychiatry. Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Javier Váquez-Bourgon
- grid.469673.90000 0004 5901 7501Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,grid.7821.c0000 0004 1770 272XDepartment of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain ,grid.411325.00000 0001 0627 4262Department of Psychiatry, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | - Aristotle Voineskos
- grid.17063.330000 0001 2157 2938Centre for Addiction & Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Esther Walton
- grid.7340.00000 0001 2162 1699Department of Psychology, University of Bath, Bath, UK
| | - Thomas W. Weickert
- grid.411023.50000 0000 9159 4457Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY USA ,grid.250407.40000 0000 8900 8842Neuroscience Research Australia, Randwick, NSW Australia
| | - Cynthia Shannon Weickert
- grid.411023.50000 0000 9159 4457Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY USA ,grid.250407.40000 0000 8900 8842Neuroscience Research Australia, Randwick, NSW Australia ,grid.1005.40000 0004 4902 0432School of Psychiatry, University of New South Wales, Sydney, NSW Australia
| | - Paul M. Thompson
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA
| | - Theo G. M. van Erp
- grid.266093.80000 0001 0668 7243Psychiatry and Human Behavior, University of California Irvine, Irvine, CA USA ,grid.266093.80000 0001 0668 7243Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA USA
| | - Jessica A. Turner
- grid.256304.60000 0004 1936 7400Department of Psychology, Georgia State University, Atlanta, GA USA
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada. .,National Institute of Mental Health, Klecany, Czech Republic.
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47
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Pan S, Wang X, Lin L, Chen J, Zhan X, Jin C, Ou X, Gu T, Jing J, Cai L. Association of sugar-sweetened beverages with executive function in autistic children. Front Nutr 2022; 9:940841. [PMID: 36082034 PMCID: PMC9447427 DOI: 10.3389/fnut.2022.940841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/20/2022] [Indexed: 11/22/2022] Open
Abstract
The association between sugar-sweetened beverages (SSBs) consumption and executive function (EF) among typically developing (TD) children has been investigated in previous studies but with inconsistent results. Furthermore, this relationship has been less investigated among autistic children who perform worse in EF compared with TD children. In this study, we aimed to investigate the association between SSB consumption and EF in autistic children, and whether the association between SSB and EF in autistic children is different from that in TD children. We recruited 106 autistic children and 207 TD children aged 6–12 years in Guangzhou, China. Children’s EF was assessed by using the Chinese version of parent-reported Behavior Rating Inventory of Executive Function, Stroop Color–Word Test, and working memory subscales of the Chinese version of Wechsler Intelligence Scale for children, Fourth edition. Meanwhile, we assessed children’s dietary intake and SSB consumption with a validated Food Frequency Questionnaire. In this study, 70 (66.0%) autistic children consumed SSB and 20 (18.9%) of them consumed more than two servings SSB a week. Among autistic children, over two servings per week SSB consumption was associated with poorer performance in emotional control [β = 7.20, 95% confidence interval (CI): 0.94–13.46] and plan/Organize (β = 6.45, 95% CI: 0.27–12.63). The association between over two servings/week SSB consumption and emotional control among autistic children was significantly different from that among TD children (βASD = 7.20; βTD = −3.09, Z = 2.72, p = 0.006). Results of this study show that SSB consumption was associated with an impairment in some subscales of EF in autistic children. Furthermore, the association between SSB and EF in autistic children might be different from that in TD children.
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Affiliation(s)
- Shuolin Pan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xin Wang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Lizi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiajie Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaoling Zhan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chengkai Jin
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaoxuan Ou
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tingfeng Gu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
- Jin Jing,
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Li Cai,
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48
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Likhitweerawong N, Louthrenoo O, Boonchooduang N, Tangwijitsakul H, Srisurapanont M. Bidirectional prediction between weight status and executive function in children and adolescents: A systematic review and meta-analysis of longitudinal studies. Obes Rev 2022; 23:e13458. [PMID: 35508917 DOI: 10.1111/obr.13458] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/12/2022] [Accepted: 04/14/2022] [Indexed: 12/14/2022]
Abstract
This study examined the predictability of child weight status on executive function (EF) and vice versa. We searched PubMed, CINAHL, Web of Science, and EMBASE for longitudinal studies conducted in children and adolescents on October 31, 2021. A pairwise meta-analysis was performed using a frequentist random-effects approach. The quality of all included studies was evaluated using Newcastle-Ottawa Scale and GRADE assessments. This study included 18 longitudinal studies (N = 30,101). Overall executive functioning was a significant negative predictor of child weight status (pooled beta coefficient = -0.14; 95% confidence interval [CI] [-0.22 to -0.07]; I2 = 97%). The pooled odds ratio also revealed that high EF children had a significant lower risk for developing overweight/obesity (odds ratio [OR] = 0.72; 95% CI [0.59 to 0.87]; I2 = 72%). Conversely, child weight status was a significant negative predictor of overall executive functioning (pooled beta coefficient = -0.06; 95% CI [-0.12 to -0.01]; I2 = 81%). These results suggest a bidirectional prediction between child weight status and EF. These predictabilities are low but potentially beneficial for implementation in childcare systems.
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Affiliation(s)
- Narueporn Likhitweerawong
- Division of Growth and Development, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Orawan Louthrenoo
- Division of Growth and Development, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nonglak Boonchooduang
- Division of Growth and Development, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Hathaipohn Tangwijitsakul
- Division of Growth and Development, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Manit Srisurapanont
- Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
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49
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McWhinney SR, Abé C, Alda M, Benedetti F, Bøen E, del Mar Bonnin C, Borgers T, Brosch K, Canales-Rodríguez EJ, Cannon DM, Dannlowski U, Diaz-Zuluaga AM, Lorielle Dietze, Elvsåshagen T, Eyler LT, Fullerton JM, Goikolea JM, Goltermann J, Grotegerd D, Haarman BCM, Hahn T, Howells FM, Ingvar M, Kircher TTJ, Krug A, Kuplicki RT, Landén M, Lemke H, Liberg B, Lopez-Jaramillo C, Malt UF, Martyn FM, Mazza E, McDonald C, McPhilemy G, Meier S, Meinert S, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadic I, Opel N, Ophoff RA, Overs BJ, Pfarr JK, Pineda-Zapata JA, Pomarol-Clotet E, Raduà J, Repple J, Richter M, Ringwald KG, Roberts G, Ross A, Salvador R, Savitz J, Schmitt S, Schofield PR, Sim K, Stein DJ, Stein F, Temmingh HS, Thiel K, Thomopoulos SI, van Haren NEM, Van Gestel H, Vargas C, Vieta E, Vreeker A, Waltemate L, Yatham LN, Ching CRK, Andreassen O, Thompson PM, Hajek T. Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individuals. Bipolar Disord 2022; 24:509-520. [PMID: 34894200 PMCID: PMC9187778 DOI: 10.1111/bdi.13172] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
AIMS Rates of obesity have reached epidemic proportions, especially among people with psychiatric disorders. While the effects of obesity on the brain are of major interest in medicine, they remain markedly under-researched in psychiatry. METHODS We obtained body mass index (BMI) and magnetic resonance imaging-derived regional cortical thickness, surface area from 836 bipolar disorders (BD) and 1600 control individuals from 14 sites within the ENIGMA-BD Working Group. We identified regionally specific profiles of cortical thickness using K-means clustering and studied clinical characteristics associated with individual cortical profiles. RESULTS We detected two clusters based on similarities among participants in cortical thickness. The lower thickness cluster (46.8% of the sample) showed thinner cortex, especially in the frontal and temporal lobes and was associated with diagnosis of BD, higher BMI, and older age. BD individuals in the low thickness cluster were more likely to have the diagnosis of bipolar disorder I and less likely to be treated with lithium. In contrast, clustering based on similarities in the cortical surface area was unrelated to BD or BMI and only tracked age and sex. CONCLUSIONS We provide evidence that both BD and obesity are associated with similar alterations in cortical thickness, but not surface area. The fact that obesity increased the chance of having low cortical thickness could explain differences in cortical measures among people with BD. The thinner cortex in individuals with higher BMI, which was additive and similar to the BD-associated alterations, may suggest that treating obesity could lower the extent of cortical thinning in BD.
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Affiliation(s)
| | - Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milan, Italy.,Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Erlend Bøen
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo Norway
| | - Caterina del Mar Bonnin
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Tiana Borgers
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | | | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ana M. Diaz-Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Lorielle Dietze
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Desert-Pacific MIRECC, VA San Diego Healthcare, San Diego, CA, USA
| | - Janice M. Fullerton
- Neuroscience Research Australia, Randwick, NSW, Australia.,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jose M. Goikolea
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Fleur M. Howells
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa.,Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Martin Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tilo T. J. Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | | | - Mikael Landén
- Department of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Ulrik F. Malt
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo Norway.,Institute of Clinical Medicine, Department of Neurology, University of Oslo, Oslo, Norway
| | - Fiona M. Martyn
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Elena Mazza
- Vita-Salute San Raffaele University, Milan, Italy.,Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Elisa M. T. Melloni
- Vita-Salute San Raffaele University, Milan, Italy.,Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Philip B. Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral Genetics, Los Angeles, CA, USA.,Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Julian A. Pineda-Zapata
- Research Group, Instituto de Alta Tecnología Médica, Ayudas diagnósticas SURA, Medellin, Colombia
| | | | - Joaquim Raduà
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institute of Psychiartry, King’s College Londen, London, UK
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Maike Richter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Kai G. Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Alex Ross
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA.,Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter R. Schofield
- Neuroscience Research Australia, Randwick, NSW, Australia.,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Dan J. Stein
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa.,Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.,South African MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Henk S. Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Katharina Thiel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands.,Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Holly Van Gestel
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Cristian Vargas
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Eduard Vieta
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Annabel Vreeker
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands
| | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ole Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,National Institute of Mental Health, Klecany, Czech Republic
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50
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Zhang Q, Jin K, Chen B, Liu R, Cheng S, Zhang Y, Lu J. Overnutrition Induced Cognitive Impairment: Insulin Resistance, Gut-Brain Axis, and Neuroinflammation. Front Neurosci 2022; 16:884579. [PMID: 35873818 PMCID: PMC9298971 DOI: 10.3389/fnins.2022.884579] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 06/02/2022] [Indexed: 12/11/2022] Open
Abstract
Overnutrition-related obesity has become a worldwide epidemic, and its prevalence is expected to steadily rise in the future. It is widely recognized that obesity exerts negative impacts on metabolic disorders such as type 2 diabetes mellitus (T2DM) and cardiovascular diseases. However, relatively fewer reports exist on the impairment of brain structure and function, in the form of memory and executive dysfunction, as well as neurogenerative diseases. Emerging evidence indicates that besides obesity, overnutrition diets independently induce cognitive impairments via multiple mechanisms. In this study, we reviewed the clinical and preclinical literature about the detrimental effects of obesity or high-nutrition diets on cognitive performance and cerebral structure. We mainly focused on the role of brain insulin resistance (IR), microbiota-gut-brain axis, and neuroinflammation. We concluded that before the onset of obesity, short-term exposure to high-nutrition diets already blunted central responses to insulin, altered gut microbiome composition, and activated inflammatory mediators. Overnutrition is linked with the changes in protein expression in brain insulin signaling, leading to pathological features in the brain. Microbiome alteration, bacterial endotoxin release, and gut barrier hyperpermeability also occur to trigger mental and neuronal diseases. In addition, obesity or high-nutrition diets cause chronic and low-grade systematic inflammation, which eventually spreads from the peripheral tissue to the central nervous system (CNS). Altogether, a large number of unknown but potential routes interact and contribute to obesity or diet-induced cognitive impairment. The challenge for future research is to identify effective interventions involving dietary shifts and personalized therapy targeting the underlying mechanisms to prevent and improve cognition deficits.
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Affiliation(s)
- Qin Zhang
- First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Kangyu Jin
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Bing Chen
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ripeng Liu
- First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.,Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Shangping Cheng
- School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuyan Zhang
- School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jing Lu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China
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