1
|
Ran Q, Chen X, Li X, He L, Zhang K, Tang S. Application of eye and hand interventions in brain magnetic resonance imaging of young children. Heliyon 2024; 10:e35613. [PMID: 39170568 PMCID: PMC11336866 DOI: 10.1016/j.heliyon.2024.e35613] [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: 02/04/2023] [Revised: 07/31/2024] [Accepted: 07/31/2024] [Indexed: 08/23/2024] Open
Abstract
Objective To explore the feasibility of eye and hand interventions in young children during brain magnetic resonance imaging (MRI). Methods A total of 414 4- to 6-year-old children who underwent brain MRI at our hospital were randomly divided into 4 groups: the routine posture group (n = 105), eye mask group (n = 102), fixed hand apron group (n = 108), and eye mask and fixed hand apron group (n = 99). All the children underwent brain MRI when they were awake (without using sedatives). The success rate of brain MRI and the quality of brain MR images were compared among the four groups. Results The success rate of brain MRI was the highest in the eye mask and fixed hand apron group (94.9 %), followed by the eye mask group (85.3 %) (P < 0.05). The brain MR image quality was the best for children wearing eye masks and fixed hand aprons (5 points, 69 patients), followed by those wearing eye masks (5 points, 53 patients) (P < 0.05). Conclusion When children undergo brain MRI, simultaneous eye and hand interventions can greatly improve the success rate of the examination and the quality of MR images. This study protocol was registered at the Chinese clinical trial registry (ChiCTR2100050248).
Collapse
Affiliation(s)
- Qiying Ran
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, 400014, China
| | - Xi Chen
- Department of Equipment Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Xiang Li
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, 400014, China
| | - Ling He
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, 400014, China
| | - Ke Zhang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, 400014, China
| | - Shilong Tang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, 400014, China
| |
Collapse
|
2
|
Burke E, Jenkins T, Boles RE, Mitchell JE, Inge T, Gunstad J. Cognitive function 10 years after adolescent bariatric surgery. Surg Obes Relat Dis 2024; 20:614-620. [PMID: 38413319 DOI: 10.1016/j.soard.2024.01.008] [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: 07/10/2023] [Revised: 11/24/2023] [Accepted: 01/13/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Adolescent bariatric surgery produces substantial weight loss and reduction of medical co-morbidities. Research in adult samples shows improved cognitive function postoperatively, although much less is known about the potential cognitive benefits of bariatric surgery in adolescents-especially at extended follow-up. OBJECTIVE Examine cognitive function 10 years after adolescent bariatric surgery. SETTING University hospital. METHODS A total of 99 young adults who underwent bariatric surgery as adolescents completed a computerized cognitive test battery as part of a larger 10-year postoperative assessment. All had been long-term participants in the Teen-Longitudinal Assessment of Bariatric Surgery (Teen-LABS) study. RESULTS Cognitive dysfunction was prevalent on tests of attention and executive function (e.g., Continuous Performance Test - Reaction Time 30%; Maze Errors - Overrun 30%), and 53.5% met research criteria for mild cognitive impairment (MCI). Modified Poisson regression with robust error variance revealed participants with preoperative hypertension and those completing Roux-en-Y gastric bypass were more likely to meet criteria for MCI at 10-year follow-up. CONCLUSIONS The current findings indicate that cognitive deficits are common 10 years after bariatric surgery. Additional studies are needed to clarify possible cohort effects, determine whether these cognitive deficits persist to even later follow-up (e.g., 20 yr after surgery), and identify underlying mechanisms and mitigation strategies.
Collapse
Affiliation(s)
- Erin Burke
- Department of Psychological Sciences, Kent State University, Kent, Ohio
| | - Todd Jenkins
- Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Richard E Boles
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - James E Mitchell
- Sanford Center for Biobehavioral Research, Fargo, North Dakota; University of North Dakota School of Medicine and Health Science, Fargo, North Dakota
| | - Thomas Inge
- Department of Surgery, Northwestern University Feinberg School of Medicine and Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois
| | - John Gunstad
- Department of Psychological Sciences, Kent State University, Kent, Ohio.
| |
Collapse
|
3
|
Okudzhava L, Schulz S, Fischi‐Gomez E, Girard G, Machann J, Koch PJ, Thiran J, Münte TF, Heldmann M. White adipose tissue distribution and amount are associated with increased white matter connectivity. Hum Brain Mapp 2024; 45:e26654. [PMID: 38520361 PMCID: PMC10960552 DOI: 10.1002/hbm.26654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/09/2024] [Accepted: 02/27/2024] [Indexed: 03/25/2024] Open
Abstract
Obesity represents a significant public health concern and is linked to various comorbidities and cognitive impairments. Previous research indicates that elevated body mass index (BMI) is associated with structural changes in white matter (WM). However, a deeper characterization of body composition is required, especially considering the links between abdominal obesity and metabolic dysfunction. This study aims to enhance our understanding of the relationship between obesity and WM connectivity by directly assessing the amount and distribution of fat tissue. Whole-body magnetic resonance imaging (MRI) was employed to evaluate total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), while MR liver spectroscopy measured liver fat content in 63 normal-weight, overweight, and obese males. WM connectivity was quantified using microstructure-informed tractography. Connectome-based predictive modeling was used to predict body composition metrics based on WM connectomes. Our analysis revealed a positive dependency between BMI, TAT, SAT, and WM connectivity in brain regions involved in reward processing and appetite regulation, such as the insula, nucleus accumbens, and orbitofrontal cortex. Increased connectivity was also observed in cognitive control and inhibition networks, including the middle frontal gyrus and anterior cingulate cortex. No significant associations were found between WM connectivity and VAT or liver fat. Our findings suggest that altered neural communication between these brain regions may affect cognitive processes, emotional regulation, and reward perception in individuals with obesity, potentially contributing to weight gain. While our study did not identify a link between WM connectivity and VAT or liver fat, further investigation of the role of various fat depots and metabolic factors in brain networks is required to advance obesity prevention and treatment approaches.
Collapse
Affiliation(s)
- Liana Okudzhava
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Stephanie Schulz
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Elda Fischi‐Gomez
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Radiology DepartmentLausanne University and University Hospital (CHUV)LausanneSwitzerland
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Gabriel Girard
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Department of Computer ScienceUniversité de SherbrookeSherbrookeQuebecCanada
| | - Jürgen Machann
- Section on Experimental Radiology, Department of RadiologyEberhard‐Karls UniversityTübingenGermany
- German Center for Diabetes Research (DZD)NeuherbergGermany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center MunichUniversity of TübingenTübingenGermany
| | - Philipp J. Koch
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Jean‐Philippe Thiran
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Radiology DepartmentLausanne University and University Hospital (CHUV)LausanneSwitzerland
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Thomas F. Münte
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Marcus Heldmann
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
- Institute of Psychology IIUniversity of LübeckLübeckGermany
| |
Collapse
|
4
|
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.
Collapse
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
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
Wilson JB, Epstein M, Lopez B, Brown AK, Lutfy K, Friedman TC. The role of Neurochemicals, Stress Hormones and Immune System in the Positive Feedback Loops between Diabetes, Obesity and Depression. Front Endocrinol (Lausanne) 2023; 14:1224612. [PMID: 37664841 PMCID: PMC10470111 DOI: 10.3389/fendo.2023.1224612] [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: 05/17/2023] [Accepted: 07/25/2023] [Indexed: 09/05/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) and depression are significant public health and socioeconomic issues. They commonly co-occur, with T2DM occurring in 11.3% of the US population, while depression has a prevalence of about 9%, with higher rates among youths. Approximately 31% of patients with T2DM suffer from depressive symptoms, with 11.4% having major depressive disorders, which is twice as high as the prevalence of depression in patients without T2DM. Additionally, over 80% of people with T2DM are overweight or obese. This review describes how T2DM and depression can enhance one another, using the same molecular pathways, by synergistically altering the brain's structure and function and reducing the reward obtained from eating. In this article, we reviewed the evidence that eating, especially high-caloric foods, stimulates the limbic system, initiating Reward Deficiency Syndrome. Analogous to other addictive behaviors, neurochemical changes in those with depression and/or T2DM are thought to cause individuals to increase their food intake to obtain the same reward leading to binge eating, weight gain and obesity. Treating the symptoms of T2DM, such as lowering HbA1c, without addressing the underlying pathways has little chance of eliminating the disease. Targeting the immune system, stress circuit, melatonin, and other alterations may be more effective.
Collapse
Affiliation(s)
- Julian B. Wilson
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
| | - Ma’ayan Epstein
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Psychiatric Emergency Room, Olive View – University of California, Los Angeles (UCLA) Medical Center, Sylmar, CA, United States
| | - Briana Lopez
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Friends Research Institute, Cerritos, CA, United States
| | - Amira K. Brown
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
| | - Kabirullah Lutfy
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- College of Pharmacy, Western University of Health Sciences, Pomona, CA, United States
| | - Theodore C. Friedman
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Friends Research Institute, Cerritos, CA, United States
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
Estévez-López F, Kim HH, López-Vicente M, Legerstee JS, Hillegers MHJ, Tiemeier H, Muetzel RL. Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents. Transl Psychiatry 2023; 13:254. [PMID: 37438345 DOI: 10.1038/s41398-023-02528-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 07/14/2023] Open
Abstract
Physical symptoms, also known as somatic symptoms, are those for which medical examinations do not reveal a sufficient underlying root cause (e.g., pain and fatigue). The extant literature of the neurobiological underpinnings of physical symptoms is largely inconsistent and primarily comprises of (clinical) case-control studies with small sample sizes. In this cross-sectional study, we studied the association between dimensionally measured physical symptoms and brain morphology in pre-adolescents from two population-based cohorts; the Generation R Study (n = 2649, 10.1 ± 0.6 years old) and ABCD Study (n = 9637, 9.9 ± 0.6 years old). Physical symptoms were evaluated using continuous scores from the somatic complaints syndrome scale from the parent-reported Child Behavior Checklist (CBCL). High-resolution structural magnetic resonance imaging (MRI) was collected using 3-Tesla MRI systems. Linear regression models were fitted for global brain metrics (cortical and subcortical grey matter and total white matter volume) and surface-based vertex-wise measures (surface area and cortical thickness). Results were meta-analysed. Symptoms of anxiety/depression were studied as a contrasting comorbidity. In the meta-analyses across cohorts, we found negative associations between physical symptoms and surface area in the (i) left hemisphere; in the lateral orbitofrontal cortex and pars triangularis and (ii) right hemisphere; in the pars triangularis, the pars orbitalis, insula, middle temporal gyrus and caudal anterior cingulate cortex. However, only a subset of regions (left lateral orbitofrontal cortex and right pars triangularis) were specifically associated with physical symptoms, while others were also related to symptoms of anxiety/depression. No significant associations were observed for cortical thickness. This study in preadolescents, the most representative and well-powered to date, showed that more physical symptoms are modestly related to less surface area of the prefrontal cortex mostly. While these effects are subtle, future prospective research is warranted to understand the longitudinal relationship of physical symptoms and brain changes over time. Particularly, to elucidate whether physical symptoms are a potential cause or consequence of distinct neurodevelopmental trajectories.
Collapse
Affiliation(s)
- Fernando Estévez-López
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
- Department of Education, Faculty of Education Sciences, SPORT Research Group (CTS-1024) and CERNEP Research Center, University of Almería, Almería, Spain.
| | - Hannah H Kim
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Mónica López-Vicente
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Jeroen S Legerstee
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| |
Collapse
|
9
|
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.
Collapse
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
| |
Collapse
|
10
|
Zhang Y, Ji W, Jiang F, Wu F, Li G, Hu Y, Zhang W, Wang J, Fan X, Wei X, Manza P, Tomasi D, Volkow ND, Gao X, Wang GJ, Zhang Y. Associations among body mass index, working memory performance, gray matter volume, and brain activation in healthy children. Cereb Cortex 2023; 33:6335-6344. [PMID: 36573454 PMCID: PMC10422922 DOI: 10.1093/cercor/bhac507] [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: 09/27/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/28/2022] Open
Abstract
To investigate the neural mechanisms underlying the association between poorer working memory performance and higher body mass index (BMI) in children. We employed structural-(sMRI) and functional magnetic resonance imaging (fMRI) with a 2-back working memory task to examine brain abnormalities and their associations with BMI and working memory performance in 232 children with overweight/obesity (OW/OB) and 244 normal weight children (NW) from the Adolescent Brain Cognitive Development dataset. OW/OB had lower working memory accuracy, which was associated with higher BMI. They showed smaller gray matter (GM) volumes in the left superior frontal gyrus (SFG_L), dorsal anterior cingulate cortex, medial orbital frontal cortex, and medial superior frontal gyrus, which were associated with lower working memory accuracy. During the working memory task, OW/OB relative to NW showed weaker activation in the left superior temporal pole, amygdala, insula, and bilateral caudate. In addition, caudate activation mediated the relationship between higher BMI and lower working memory accuracy. Higher BMI is associated with smaller GM volumes and weaker brain activation in regions involved with working memory. Task-related caudate dysfunction may account for lower working memory accuracy in children with higher BMI.
Collapse
Affiliation(s)
- 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Xiao Fan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Xiaorong Wei
- Kindergarten affiliated to Air Force Medical University, No. 127, Changle West Road, Xi'an, Shaanxi 710032, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, United States
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, United States
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, United States
| | - Xinbo Gao
- Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, No. 2, Chongwen Road, Chongqing 400065, China
- Chongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, No. 2, Chongwen Road, Chongqing 400064, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, United States
| | - 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, No. 266, Xifeng Road, 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, No. 266, Xifeng Road, Xi'an, Shaanxi 710126, China
| |
Collapse
|
11
|
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.
Collapse
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
| |
Collapse
|
12
|
Henn RE, Guo K, Elzinga SE, Noureldein MH, Mendelson FE, Hayes JM, Rigan DM, Savelieff MG, Hur J, Feldman EL. Single-cell RNA sequencing identifies hippocampal microglial dysregulation in diet-induced obesity. iScience 2023; 26:106164. [PMID: 36915697 PMCID: PMC10006681 DOI: 10.1016/j.isci.2023.106164] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 12/23/2022] [Accepted: 02/02/2023] [Indexed: 02/10/2023] Open
Abstract
Obesity is a growing global concern in adults and youth with a parallel rise in associated complications, including cognitive impairment. Obesity induces brain inflammation and activates microglia, which contribute to cognitive impairment by aberrantly phagocytosing synaptic spines. Local and systemic signals, such as inflammatory cytokines and metabolites likely participate in obesity-induced microglial activation. However, the precise mechanisms mediating microglial activation during obesity remain incompletely understood. Herein, we leveraged our mouse model of high-fat diet (HFD)-induced obesity, which mirrors human obesity, and develops hippocampal-dependent cognitive impairment. We assessed hippocampal microglial activation by morphological and single-cell transcriptomic analysis to evaluate this heterogeneous, functionally diverse, and dynamic class of cells over time after 1 and 3 months of HFD. HFD altered cell-to-cell communication, particularly immune modulation and cellular adhesion signaling, and induced a differential gene expression signature of protein processing in the endoplasmic reticulum in a time-dependent manner.
Collapse
Affiliation(s)
- Rosemary E. Henn
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - Kai Guo
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - Sarah E. Elzinga
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - Mohamed H. Noureldein
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - Faye E. Mendelson
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - John M. Hayes
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - Diana M. Rigan
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - Masha G. Savelieff
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - Junguk Hur
- Department of Biomedical Sciences, University of North Dakota, Grand Forks, ND, USA
| | - Eva L. Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
13
|
Rojczyk P, Seitz-Holland J, Kaufmann E, Sydnor VJ, Kim CL, Umminger LF, Wiegand TLT, Guenette JP, Zhang F, Rathi Y, Bouix S, Pasternak O, Fortier CB, Salat D, Hinds SR, Heinen F, O’Donnell LJ, Milberg WP, McGlinchey RE, Shenton ME, Koerte IK. Sleep Quality Disturbances Are Associated with White Matter Alterations in Veterans with Post-Traumatic Stress Disorder and Mild Traumatic Brain Injury. J Clin Med 2023; 12:2079. [PMID: 36902865 PMCID: PMC10004675 DOI: 10.3390/jcm12052079] [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: 02/17/2023] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 03/09/2023] Open
Abstract
Sleep disturbances are strongly associated with mild traumatic brain injury (mTBI) and post-traumatic stress disorder (PTSD). PTSD and mTBI have been linked to alterations in white matter (WM) microstructure, but whether poor sleep quality has a compounding effect on WM remains largely unknown. We evaluated sleep and diffusion magnetic resonance imaging (dMRI) data from 180 male post-9/11 veterans diagnosed with (1) PTSD (n = 38), (2) mTBI (n = 25), (3) comorbid PTSD+mTBI (n = 94), and (4) a control group with neither PTSD nor mTBI (n = 23). We compared sleep quality (Pittsburgh Sleep Quality Index, PSQI) between groups using ANCOVAs and calculated regression and mediation models to assess associations between PTSD, mTBI, sleep quality, and WM. Veterans with PTSD and comorbid PTSD+mTBI reported poorer sleep quality than those with mTBI or no history of PTSD or mTBI (p = 0.012 to <0.001). Poor sleep quality was associated with abnormal WM microstructure in veterans with comorbid PTSD+mTBI (p < 0.001). Most importantly, poor sleep quality fully mediated the association between greater PTSD symptom severity and impaired WM microstructure (p < 0.001). Our findings highlight the significant impact of sleep disturbances on brain health in veterans with PTSD+mTBI, calling for sleep-targeted interventions.
Collapse
Affiliation(s)
- Philine Rojczyk
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Elisabeth Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
- Department of Neurology, Ludwig-Maximilians-University, 81377 Munich, Germany
| | - Valerie J. Sydnor
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
| | - Cara L. Kim
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Lisa F. Umminger
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Tim L. T. Wiegand
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Jeffrey P. Guenette
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Software Engineering and IT, École de Technologie Supérieure, Montreal, QC H3C 1K3, Canada
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Catherine B. Fortier
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | - David Salat
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, 02115 MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Department of Radiology, Boston, MA 02129, USA
| | - Sidney R. Hinds
- Department of Neurology, Uniformed Services University, Bethesda, MD 20814, USA
| | - Florian Heinen
- Department of Pediatric Neurology and Developmental Medicine and LMU Center for Children with Medical Complexity, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians-University, 80337 Munich, Germany
| | - Lauren J. O’Donnell
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - William P. Milberg
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, 02115 MA, USA
| | - Regina E. McGlinchey
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, 02115 MA, USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Inga K. Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University, 82152 Munich, Germany
| |
Collapse
|
14
|
Beyond BMI: cardiometabolic measures as predictors of impulsivity and white matter changes in adolescents. Brain Struct Funct 2023; 228:751-760. [PMID: 36781445 PMCID: PMC10147758 DOI: 10.1007/s00429-023-02615-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/25/2023] [Indexed: 02/15/2023]
Abstract
Obesity is characterized by cardiometabolic and neurocognitive changes. However, how these two factors relate to each other in this population is unknown. We tested the association that cardiometabolic measures may have with impulse behaviors and white matter microstructure in adolescents with and without an excess weight. One hundred and eight adolescents (43 normal-weight and 65 overweight/obesity; 11-19 years old) were medically and psychologically (Temperament Character Inventory Revised, Three-Factor Eating Questionnaire-R18, Conners' Continuous Performance Test-II, Stroop Color and Word Test, Wisconsin Card Sorting Test, Kirby Delay Discounting Task) evaluated. A subsample of participants (n = 56) underwent a brain magnetic resonance imaging acquisition. In adolescents, higher triglycerides and having a body mass index indicative of overweight/obesity predicted a more impulsive performance in Conners' Continuous Performance Test-II (higher commission errors). In addition, higher glucose and diastolic blood pressure values predicted increments in the Three-Factor Eating Questionnaire-R18 emotional eating scale. Neuroanatomically, cingulum fractional anisotropy showed a negative relationship with glycated hemoglobin. The evaluation of the neurocognitive differences associated with obesity, usually based on body mass index, should be complemented with cardiometabolic measures.
Collapse
|
15
|
Cheng W, Sun Z, Cai K, Wu J, Dong X, Liu Z, Shi Y, Yang S, Zhang W, Chen A. Relationship between Overweight/Obesity and Social Communication in Autism Spectrum Disorder Children: Mediating Effect of Gray Matter Volume. Brain Sci 2023; 13:brainsci13020180. [PMID: 36831723 PMCID: PMC9954689 DOI: 10.3390/brainsci13020180] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/10/2023] [Accepted: 01/17/2023] [Indexed: 01/24/2023] Open
Abstract
With advances in medical diagnostic technology, the healthy development of children with autism spectrum disorder (ASD) is receiving more and more attention. In this article, the mediating effect of brain gray matter volume (GMV) between overweight/obesity and social communication (SC) was investigated through the analysis of the relationship between overweight/obesity and SC in autism spectrum disorder children. In total, 101 children with ASD aged 3-12 years were recruited from three special educational centers (Yangzhou, China). Overweight/obesity in children with ASD was indicated by their body mass index (BMI); the Social Responsiveness Scale, Second Edition (SRS-2) was used to assess their social interaction ability, and structural Magnetic Resonance Imaging (sMRI) was used to measure GMV. A mediation model was constructed using the Process plug-in to analyze the mediating effect of GMV between overweight/obesity and SC in children with ASD. The results revealed that: overweight/obesity positively correlated with SRS-2 total points (p = 0.01); gray matter volume in the left dorsolateral superior frontal gyrus (Frontal_Sup_L GMV) negatively correlated with SRS-2 total points (p = 0.001); and overweight/obesity negatively correlated with Frontal_Sup_L GMV (p = 0.001). The Frontal_Sup_L GMV played a partial mediating role in the relationship between overweight/obesity and SC, accounting for 36.6% of total effect values. These findings indicate the significant positive correlation between overweight/obesity and SC; GMV in the left dorsolateral superior frontal gyrus plays a mediating role in the relationship between overweight/obesity and SC. The study may provide new evidence toward comprehensively revealing the overweight/obesity and SC relationship.
Collapse
Affiliation(s)
- Wei Cheng
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Zhiyuan Sun
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Kelong Cai
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Jingjing Wu
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Xiaoxiao Dong
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Zhimei Liu
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Yifan Shi
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Sixin Yang
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Weike Zhang
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
| | - Aiguo Chen
- College of Physical Education, Yangzhou University, Yangzhou 225127, China
- Institute of Sports, Exercise and Brain, Yangzhou University, Yangzhou 225127, China
- Correspondence: ; Tel.: +86-139-5272-5968
| |
Collapse
|
16
|
Dietze LMF, McWhinney SR, Radua J, Hajek T. Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies. Front Nutr 2023; 10:1108360. [PMID: 36960197 PMCID: PMC10028081 DOI: 10.3389/fnut.2023.1108360] [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: 11/25/2022] [Accepted: 02/03/2023] [Indexed: 03/09/2023] Open
Abstract
Introduction Obesity has become a global public health issue, which impacts general health and the brain. Associations between obesity and white matter microstructure measured using diffusion tensor imaging have been under reviewed, despite a relatively large number of individual studies. Our objective was to determine the association between obesity and white matter microstructure in a large general population sample. Methods We analyzed location of brain white matter changes in obesity using the Anisotropic Effect Size Seed-based d Mapping (AES-SDM) method in a voxel-based meta-analysis, with validation in a region of interest (ROI) effect size meta-analysis. Our sample included 21 742 individuals from 51 studies. Results The voxel-based spatial meta-analysis demonstrated reduced fractional anisotropy (FA) with obesity in the genu and splenium of the corpus callosum, middle cerebellar peduncles, anterior thalamic radiation, cortico-spinal projections, and cerebellum. The ROI effect size meta-analysis replicated associations between obesity and lower FA in the genu and splenium of the corpus callosum, middle cerebellar peduncles. Effect size of obesity related brain changes was small to medium. Discussion Our findings demonstrate obesity related brain white matter changes are localized rather than diffuse. Better understanding the brain correlates of obesity could help identify risk factors, and targets for prevention or treatment of brain changes.
Collapse
Affiliation(s)
- Lorielle M. F. Dietze
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Medical Neuroscience, Dalhousie University, Halifax, NS, Canada
| | | | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
- Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- Department of Clinical Neuroscience, Center for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Prague, Czechia
- *Correspondence: Tomas Hajek,
| |
Collapse
|
17
|
The Developing Brain: Considering the Multifactorial Effects of Obesity, Physical Activity & Mental Wellbeing in Childhood and Adolescence. CHILDREN (BASEL, SWITZERLAND) 2022; 9:children9121802. [PMID: 36553249 PMCID: PMC9776762 DOI: 10.3390/children9121802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/17/2022] [Accepted: 11/22/2022] [Indexed: 11/25/2022]
Abstract
Obesity during childhood has been associated with many important physiological and neurological health considerations. Specifically concerning are the associations between youth obesity and declines in mental health, as shown with increasing rates of adolescent depression and anxiety worldwide. The emergence of mental health disorders commonly arises during adolescent development, and approximately half the global population satisfy the criteria for at least one psychiatric disorder in their lifetime, suggesting a need for early intervention. Adolescence is critical time whereby brain structure and functions are not only negatively associated with obesity and declines in mental health, while also coinciding with significant declines in rates of physical activity among individuals in this age group. Physical activity is thus a prime candidate to address the intersection of obesity and mental health crises occurring globally. This review addresses the important considerations between physiological health (obesity, aerobic fitness, physical activity), brain health (structure and function), and mental wellbeing symptomology. Lastly, we pose a theoretical framework which asks important questions regarding the influence of physiological health on the association between brain health and the development of depression and anxiety symptoms in adolescence. Specifically, we hypothesize that obesity is a mediating risk factor on the associations between brain health and psychopathology, whereas physical activity is a mediating protective factor. We conclude with recommendations for promoting physical activity and reducing sedentary time.
Collapse
|
18
|
Weise CM, Chen K, Chen Y, Devadas V, Su Y, Reiman EM. Differential impact of body mass index and leptin on baseline and longitudinal positron emission tomography measurements of the cerebral metabolic rate for glucose in amnestic mild cognitive impairment. Front Aging Neurosci 2022; 14:1031189. [PMID: 36570534 PMCID: PMC9782536 DOI: 10.3389/fnagi.2022.1031189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 10/19/2022] [Indexed: 12/14/2022] Open
Abstract
Introduction Several studies have suggested that greater adiposity in older adults is associated with a lower risk of Alzheimer's disease (AD) related cognitive decline, some investigators have postulated that this association may be due to the protective effects of the adipose tissue-derived hormone leptin. In this study we sought to demonstrate that higher body mass indices (BMIs) are associated with greater baseline FDG PET measurements of the regional cerebral metabolic rate for glucose (rCMRgl), a marker of local neuronal activity, slower rCMRgl declines in research participants with amnestic mild cognitive impairment (aMCI). We then sought to clarify the extent to which those relationships are attributable to cerebrospinal fluid (CSF) or plasma leptin concentrations. Materials and methods We used baseline PET images from 716 73 ± 8 years-old aMCI participants from the AD Neuroimaging Initiative (ADNI) of whom 453 had follow up images (≥6 months; mean follow up time 3.3 years). For the leptin analyses, we used baseline CSF samples from 81 of the participants and plasma samples from 212 of the participants. Results As predicted, higher baseline BMI was associated with greater baseline CMRgl measurements and slower declines within brain regions preferentially affected by AD. In contrast and independently of BMI, CSF, and plasma leptin concentrations were mainly related to less baseline CMRgl within mesocorticolimbic brain regions implicated in energy homeostasis. Discussion While higher BMIs are associated with greater baseline CMRgl and slower declines in persons with aMCI, these associations appear not to be primarily attributable to leptin concentrations.
Collapse
Affiliation(s)
- Christopher M. Weise
- Department of Neurology, Marti-Luther-University of Halle-Wittenberg, Halle, Germany,Department of Neurology, University of Leipzig, Leipzig, Germany,*Correspondence: Christopher M. Weise,
| | - Kewei Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, United States,School of Mathematics and Statistics, Arizona State University, Tempe, AZ, United States,Department of Neurology, College of Medicine, University of Arizona, Phoenix, AZ, United States,Arizona Alzheimer’s Consortium, Phoenix, AZ, United States
| | - Yinghua Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, United States
| | - Vivek Devadas
- Banner Alzheimer’s Institute, Phoenix, AZ, United States
| | - Yi Su
- Banner Alzheimer’s Institute, Phoenix, AZ, United States,Department of Neurology, College of Medicine, University of Arizona, Phoenix, AZ, United States,Arizona Alzheimer’s Consortium, Phoenix, AZ, United States,School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, United States
| | - Eric M. Reiman
- Banner Alzheimer’s Institute, Phoenix, AZ, United States,Arizona Alzheimer’s Consortium, Phoenix, AZ, United States,Department of Psychiatry, College of Medicine, University of Arizona, Phoenix, AZ, United States,Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, United States,Arizona State University-Banner Health Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, United States
| |
Collapse
|
19
|
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.
Collapse
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
| |
Collapse
|
20
|
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.
Collapse
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
| |
Collapse
|
21
|
Zhang R, Manza P, Volkow ND. Prenatal caffeine exposure: association with neurodevelopmental outcomes in 9- to 11-year-old children. J Child Psychol Psychiatry 2022; 63:563-578. [PMID: 34318489 PMCID: PMC9291501 DOI: 10.1111/jcpp.13495] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/18/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Despite the widespread use of caffeine including consumption during pregnancy, the effect of prenatal caffeine exposure on child brain development and behavior is unclear. METHODS To address this, we used data from the Adolescent Brain and Cognitive Development Study (n = 11,875 children aged 9-11 years from 22 sites across the United States). We explored the associations between prenatal caffeine exposure and various developmental outcomes including birth outcomes, physical health, behavior problems, cognition, substance use and brain structure in children, and evaluated dose effects. RESULTS Among 9,978 children (4,745 females) who had valid data for prenatal caffeine exposure and whose mothers did not use drugs of abuse after knowing of pregnancy, 4,170 (41.79%) had no prenatal caffeine exposure, 2,292 (22.97%) had daily, 1,933 (19.37%) had weekly, and 1,583 (15.86%) had less than weekly exposures. Prenatal caffeine exposure including the widely recommended 'safe' dose was associated with greater externalizing problems, whereas greater BMI and soda consumption were only observed in children with high dose exposures (3+ per day). Notably, the effect size for association of externalizing problems with prenatal caffeine exposure was comparable with that reported for prenatal alcohol (The American Journal of Psychiatry, 177, 2020 and 1060) and prenatal cannabis (JAMA Psychiatry, 78, 2020 and 64) exposures from previous ABCD publications. Additionally, prenatal caffeine exposure was associated with brain structural changes that included greater posterior and lower frontal cortical thickness and altered parietooccipital sulcal depth. CONCLUSIONS The recommended 'safe' dose of caffeine during pregnancy should be carefully studied to assess whether the behavioral and brain correlates observed here are clinically relevant and determine whether it needs adjustment. Because of the high prevalence of caffeine use in the general population, studies on prenatal exposure to drugs of abuse should include prenatal caffeine use as a covariate.
Collapse
Affiliation(s)
- Rui Zhang
- Laboratory of NeuroimagingNational Institute on Alcohol Abuse and AlcoholismNational Institutes of HealthBethesdaMDUSA
| | - Peter Manza
- Laboratory of NeuroimagingNational Institute on Alcohol Abuse and AlcoholismNational Institutes of HealthBethesdaMDUSA
| | - Nora D. Volkow
- Laboratory of NeuroimagingNational Institute on Alcohol Abuse and AlcoholismNational Institutes of HealthBethesdaMDUSA
- National Institute on Drug AbuseNational Institutes of HealthBethesdaMDUSA
| |
Collapse
|
22
|
Dmitrichenko O, Mou Y, Voortman T, White T, Jansen PW. Food-Approach Eating Behaviors and Brain Morphology: The Generation R Study. Front Nutr 2022; 9:846148. [PMID: 35445055 PMCID: PMC9014090 DOI: 10.3389/fnut.2022.846148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
Food-approach eating behaviors are associated with an increased risk of developing overweight/obesity and binge-eating disorder, while obesity and binge-eating disorder have also been linked with altered brain morphology in adults. To understand these associations, we examined the association of food-approach eating behaviors during childhood with adolescents' brain morphology. The sample included 1,781 adolescents with assessments of eating behaviors at ages 4 and 10 years and brain imaging data at 13 years from a large, population-based cohort. Food approach eating behaviors (enjoyment of food, emotional overeating, and food responsiveness) were assessed using the Child Eating Behavior Questionnaire. Additionally, we assessed binge eating symptoms using two items from the Development and Well-Being Assessment at 13 years of age. Adolescents participated in an MRI procedure and measures of brain morphology, including cerebral white, cerebral gray and subcortical gray matter volumes, were extracted from T1-weighted images processed using FreeSurfer. Enjoyment of food and food responsiveness at the age of 4 and 10 years were positively associated with cerebral white matter and subcortical gray matter volumes at age 13 years (e.g., enjoyment of food at 4 years and cerebral white matter: β = 2.73, 95% CI 0.51, 4.91). Enjoyment of food and food responsiveness at 4 years of age, but not at 10 years, were associated with a larger cerebral gray matter volume at 13 years of age (e.g., enjoyment of food at 4 years: β = 0.24, 95% CI 0.03, 0.45). No statistically significant associations were found for emotional overeating at both ages and brain measurements at 13 years of age. post-hoc analyses showed no associations of food-approach eating behaviors with amygdala or hippocampus. Lastly, we did not observe significant associations of binge-eating symptoms with global brain measurements and a priori-defined regions of interest, including the right frontal operculum, insular and orbitofrontal cortex. Our findings support an association between food-approach eating behaviors, especially enjoyment of food and food responsiveness, and brain morphology in adolescence. Our findings add important knowledge to previous studies that were mostly conducted in adults, by suggesting that the eating behavior-brain link may be visible earlier in life. Further research is needed to determine causality.
Collapse
Affiliation(s)
- Olga Dmitrichenko
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.,The Generation R Study Group, Erasmus University Medical Center, Rotterdam, Netherlands.,Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Pettenkofer School of Public Health, Munich, Germany
| | - Yuchan Mou
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.,The Generation R Study Group, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.,Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Pauline W Jansen
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, Netherlands.,Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, Netherlands
| |
Collapse
|
23
|
Murray SB, Duval CJ, Balkchyan AA, Cabeen RP, Nagata JM, Toga AW, Siegel SJ, Jann K. Regional gray matter abnormalities in pre-adolescent binge eating disorder: A voxel-based morphometry study. Psychiatry Res 2022; 310:114473. [PMID: 35220054 DOI: 10.1016/j.psychres.2022.114473] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 02/02/2022] [Accepted: 02/19/2022] [Indexed: 12/19/2022]
Abstract
BACKGROUND Binge eating disorder (BED) is a pernicious psychiatric disorder which is linked with an array of multisystemic organ morbidity, broad psychiatric morbidity, and obesity. Despite behavioral markers often developing in early childhood, the neurobiological markers of early-onset BED remain understudied, and developmental pathophysiology remains poorly understood. METHODS 71 preadolescent children (aged 9-10-years) with BED and 74 age, BMI and developmentally matched control children were extracted from the 3.0 baseline (Year 0) release of the Adolescent Brain Cognitive Development (ABCD) Study. We investigated group differences in gray matter density (GMD) via voxel-based morphometry (VBM). We additionally performed region of interest analyses, assessing the association between GMD in nodes of the reward (orbitofrontal cortex; OFC) and inhibitory control (dorsolateral prefrontal cortex; dlPFC) networks, and parent-reported behavioral inhibition and approach tendencies. RESULTS Diffuse elevations in cortical GMD were noted in those with BED, which spanned prefrontal, parietal, and temporal regions. No areas of reduced GMD were noted in those with BED. No alterations in subcortical GMD were noted. Brain-behavioral associations suggest a distinct and negative relationship between GMD in the OFC and dlPFC, respectively, and self-reported markers of hedonic behavioral approach tendencies. CONCLUSIONS Early-onset BED may be characterized by diffuse morphological abnormalities in gray matter density, suggesting alterations in cortical architecture which may reflect decreased synaptic pruning and arborization, or decreased myelinated fibers and therefore inter-regional afferents.
Collapse
Affiliation(s)
- Stuart B Murray
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States; Translational Research in Eating Disorders Program, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States.
| | - Christina J Duval
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States; Translational Research in Eating Disorders Program, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Ane A Balkchyan
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States; Translational Research in Eating Disorders Program, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Ryan P Cabeen
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Jason M Nagata
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Arthur W Toga
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Steven J Siegel
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Kay Jann
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| |
Collapse
|
24
|
Alatorre-Cruz GC, Downs H, Hagood D, Sorensen ST, Williams DK, Larson-Prior LJ. Effect of Obesity on Arithmetic Processing in Preteens With High and Low Math Skills: An Event-Related Potentials Study. Front Hum Neurosci 2022; 16:760234. [PMID: 35360282 PMCID: PMC8960456 DOI: 10.3389/fnhum.2022.760234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 02/07/2022] [Indexed: 11/23/2022] Open
Abstract
Preadolescence is an important period for the consolidation of certain arithmetic facts, and the development of problem-solving strategies. Obese subjects seem to have poorer academic performance in math than their normal-weight peers, suggesting a negative effect of obesity on math skills in critical developmental periods. To test this hypothesis, event-related potentials (ERPs) were collected during a delayed-verification math task using simple addition and subtraction problems in obese [above 95th body mass index (BMI) percentile] and non-obese (between 5th and 90th BMI percentile) preteens with different levels of math skill; thirty-one with low math skills (14 obese, mean BMI = 26.40, 9.79 years old; 17 non-obese, BMI = 17.45, 9.76 years old) and thirty-one with high math skills (15 obese, BMI = 26.90, 9.60 years old; 16 non-obese, BMI = 17.13, 9.63 years old). No significant differences between weight groups were observed in task accuracy regardless of their mathematical skill level. For ERPs, electrophysiological differences were found only in the subtraction condition; participants with obesity showed an electrophysiologic pattern associated with a reduced ability to allocate attention resources regardless of their math skill level, these differences were characterized by longer P300 latency than their normal-weight peers. Moreover, the participants with obesity with high math skills displayed hypoactivity in left superior parietal lobule compared with their normal-weight peers. Additionally, obese preteens with low math skills displayed smaller arithmetic N400 amplitude than non-obese participants, reflecting difficulties in retrieving visual, semantic, and lexical information about numbers. We conclude that participants with obesity are less able than their normal-weight peers to deploy their attention regardless of their behavioral performance, which seems to have a greater effect on obese participants with low math skills because they also show problems in the retrieval of solutions from working memory, resulting in a delay in the development of mathematical skills.
Collapse
Affiliation(s)
- Graciela C. Alatorre-Cruz
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
| | - Heather Downs
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
| | - Darcy Hagood
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
| | - Seth T. Sorensen
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
| | - D. Keith Williams
- Vice Chair for Education, Department of Biostatistics, Arkansas Children’s Nutrition Center, Little Rock, AR, United States
| | - Linda J. Larson-Prior
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
- Departments of Psychiatry, Neurology, Neurobiology and Developmental Sciences, and Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| |
Collapse
|
25
|
Al-Dalaeen A, Al-Domi H. Does obesity put your brain at risk? Diabetes Metab Syndr 2022; 16:102444. [PMID: 35247658 DOI: 10.1016/j.dsx.2022.102444] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 02/12/2022] [Accepted: 02/23/2022] [Indexed: 01/02/2023]
Abstract
BACKGROUND AND AIMS The negative impact of obesity on the brain is an issue of increasing clinical interest. Hence, this review summarized evidence linking obesity with brain morphology (gray and white matter volume), brain function (functional activation and connectivity), and cognitive function. METHODS A criticals review of the relevant published English articles between 2008 and 2022, using PubMed, Google Scholar and Science Direct. Studies were included if (1) an experimental/intervention study was conducted (2) the experiment/intervention included both high fat diet or body weight, whether it could counteract the negative effect brain morphological or functional change. Critical analysis for a supporting study was also carried out. RESULTS Brain dysfunction can be recognized as result from neuroinflammation, oxidative stress, change in gut-brain hormonal functionality decrease regional blood flow or diminished hippocampal size and change in gut-brain hormonal functionality; which collectively translate into a cycle of deranged metabolic control and cognitive deficits, often obesity referred as changes in brain biochemistry and brain function. Recently, a few changes in brain structure and functions could be traced back even to obese children or adult. Evidence here suggested that obesity elicits early neuroinflammation effects, which likely disrupt the normal metabolism in hypothalamus, and hippocampus result from brain insulin resistance. The mechanisms of these robust effects are discussed herein. CONCLUSION Brain disease is inseparable from obesity itself and requires a better recognition to allow future therapeutic targeting for treatment of obesity. Additional research is needed to identify the best treatment targets and to identify if these changes reversible.
Collapse
Affiliation(s)
- Anfal Al-Dalaeen
- Department of Clinical Nutrition and Dietetics, Faculty of Pharmacy, Applied Science Private University, Amman, 11931, Jordan.
| | - Hayder Al-Domi
- Department of Nutrition and Food Technology, School of Agriculture, The University of Jordan, Amman, 11492, Jordan.
| |
Collapse
|
26
|
Okudzhava L, Heldmann M, Münte TF. A systematic review of diffusion tensor imaging studies in obesity. Obes Rev 2022; 23:e13388. [PMID: 34908217 DOI: 10.1111/obr.13388] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 10/18/2021] [Indexed: 12/29/2022]
Abstract
Obesity is a major global health problem leading to serious complications. It has been consistently associated with alterations in brain structure. Diffusion tensor imaging is used to examine brain white matter microstructure by assessing the dynamics of water diffusion in white matter tracts. Fractional anisotropy and mean diffusivity are two parameters measuring the directionality and rate of diffusion, respectively. Changes in these indices associated with obesity have been previously reported in numerous fiber tracts. This systematic review investigates microstructural white matter alterations in obesity using diffusion tensor imaging. A computerized search was performed in PubMed, Web of Science, and Livivo databases. Based on the inclusion/exclusion criteria, 31 cross-sectional studies comparing individuals with obesity and lean controls were identified. The studies included mixed-gender samples of children, young, middle-aged, and older adults. The majority of included studies reported decreased fractional anisotropy and increased mean diffusivity associated with elevated body mass index, suggesting white matter abnormalities. Nevertheless, a pattern of alterations is inconsistent across studies. This could be explained by several potential biases assessed by the National Institute of Health quality assessment tool. Furthermore, a direct assessment of body fat is recommended for a more accurate characterization of the brain-body relationship.
Collapse
Affiliation(s)
- Liana Okudzhava
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Marcus Heldmann
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Department of Psychology, University of Lübeck, Lübeck, Germany
| | - Thomas F Münte
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Department of Psychology, University of Lübeck, Lübeck, Germany
| |
Collapse
|
27
|
Why do humans undergo an adiposity rebound? Exploring links with the energetic costs of brain development in childhood using MRI-based 4D measures of total cerebral blood flow. Int J Obes (Lond) 2022; 46:1044-1050. [PMID: 35136192 PMCID: PMC9050592 DOI: 10.1038/s41366-022-01065-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 12/30/2021] [Accepted: 01/07/2022] [Indexed: 11/08/2022]
Abstract
Background Individuals typically show a childhood nadir in adiposity termed the adiposity rebound (AR). The AR serves as an early predictor of obesity risk, with early rebounders often at increased risk; however, it is unclear why this phenomenon occurs, which could impede understandings of weight gain trajectories. The brain’s energy requirements account for a lifetime peak of 66% of the body’s resting metabolic expenditure during childhood, around the age of the AR, and relates inversely to weight gain, pointing to a potential energy trade-off between brain development and adiposity. However, no study has compared developmental trajectories of brain metabolism and adiposity in the same individuals, which would allow a preliminary test of a brain-AR link. Methods We used cubic splines and generalized additive models to compare age trajectories of previously collected MRI-based 4D flow measures of total cerebral blood flow (TCBF), a proxy for cerebral energy use, to the body mass index (BMI) in a cross-sectional sample of 82 healthy individuals (0–60 years). We restricted our AR analysis to pre-pubertal individuals (0–12 years, n = 42), predicting that peak TCBF would occur slightly after the BMI nadir, consistent with evidence that lowest BMI typically precedes the nadir in adiposity. Results TCBF and the BMI showed inverse trajectories throughout childhood, while the estimated age at peak TCBF (5.6 years) was close but slightly later than the estimated age of the BMI nadir (4.9 years). Conclusions The timing of peak TCBF in this sample points to a likely concordance between peak brain energetics and the nadir in adiposity. Inverse age trajectories between TCBF and BMI support the hypothesis that brain metabolism is a potentially important influence on early life adiposity. These findings also suggest that experiences influencing the pattern of childhood brain energy use could be important predictors of body composition trajectories.
Collapse
|
28
|
Grigorian A, Kennedy KG, Luciw NJ, MacIntosh BJ, Goldstein BI. Obesity and Cerebral Blood Flow in the Reward Circuitry of Youth With Bipolar Disorder. Int J Neuropsychopharmacol 2022; 25:448-456. [PMID: 35092432 PMCID: PMC9211014 DOI: 10.1093/ijnp/pyac011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/13/2022] [Accepted: 01/27/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is associated with elevated body mass index (BMI) and increased rates of obesity. Obesity among individuals with BD is associated with more severe course of illness. Motivated by previous research on BD and BMI in youth as well as brain findings in the reward circuit, the current study investigates differences in cerebral blood flow (CBF) in youth BD with and without comorbid overweight/obesity (OW/OB). METHODS Participants consisted of youth, ages 13-20 years, including BD with OW/OB (BDOW/OB; n = 25), BD with normal weight (BDNW; n = 55), and normal-weight healthy controls (HC; n = 61). High-resolution T1-weighted and pseudo-continuous arterial spin labeling images were acquired using 3 Tesla magnetic resonance imaging. CBF differences were assessed using both region of interest and whole-brain voxel-wise approaches. RESULTS Voxel-wise analysis revealed significantly higher CBF in reward-associated regions in the BDNW group relative to the HC and BDOW/OB groups. CBF did not differ between the HC and BDOW/OB groups. There were no significant region of interest findings. CONCLUSIONS The current study identified distinct CBF levels relating to BMI in BD in the reward circuit, which may relate to underlying differences in cerebral metabolism, compensatory effects, and/or BD severity. Future neuroimaging studies are warranted to examine for changes in the CBF-OW/OB link over time and in relation to treatment.
Collapse
Affiliation(s)
- Anahit Grigorian
- Centre for Youth Bipolar Disorder, Department of Child and Youth Psychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Department of Child and Youth Psychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Nicholas J Luciw
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada,Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Ontario, Canada,Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Benjamin I Goldstein
- Correspondence: Benjamin I. Goldstein, MD, PhD, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, Canada, M6J 1H4 ()
| |
Collapse
|
29
|
Raine LB, Watrous JNH, McDonald K, Logan NE, Khan NA, Kramer AF, Hillman CH. Aerobic Fitness, B-Vitamins, and Weight Status Are Related to Selective Attention in Children. Nutrients 2021; 14:nu14010201. [PMID: 35011076 PMCID: PMC8747676 DOI: 10.3390/nu14010201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 12/23/2021] [Accepted: 12/28/2021] [Indexed: 11/16/2022] Open
Abstract
There is an increasing prevalence of poor health behaviors during childhood, particularly in terms of physical activity and nutrition. This trend has occurred alongside a growing body of evidence linking these behaviors to cognitive function. B-vitamins are thought to be particularly important in the neural development that occurs during pregnancy, as well as in healthy cognitive aging. However, much less is known regarding the role of B-vitamins during childhood. Given that preadolescent childhood is a critical period for cognitive development, this study investigated the relationship between specific aspects of nutrition, particularly B-vitamins, and related health factors (e.g., body mass, fitness) on selective attention in children. Children (n = 85; 8-11 years) completed a selective attention task to assess inhibition. Participant's dietary intake was collected using the Automated Self-Administered 24-h dietary assessment tool. Correlations between specific nutrients, BMI, fitness, and task performance were investigated. After accounting for demographic variables and total caloric intake, increased B-vitamin intake (i.e., thiamin and folic acid) was associated with shorter reaction times (p's < 0.05), fitness was associated with greater response accuracy (p < 0.05), and increased BMI was related to increased variability in reaction times (p < 0.05). Together, these findings suggest that aspects of health may have unique contributions on cognitive performance. Proper physical health and nutrition are imperative for effective cognitive functioning in preadolescent children. Targeted efforts aimed at health education amongst this population could ensure proper cognitive development during school-age years, providing a strong foundation throughout life.
Collapse
Affiliation(s)
- Lauren B. Raine
- Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA;
- Correspondence:
| | - Jennifer N. H. Watrous
- Department of Psychology, Northeastern University, Boston, MA 02115, USA; (J.N.H.W.); (K.M.); (N.E.L.); (A.F.K.)
| | - Katherine McDonald
- Department of Psychology, Northeastern University, Boston, MA 02115, USA; (J.N.H.W.); (K.M.); (N.E.L.); (A.F.K.)
| | - Nicole E. Logan
- Department of Psychology, Northeastern University, Boston, MA 02115, USA; (J.N.H.W.); (K.M.); (N.E.L.); (A.F.K.)
| | - Naiman A. Khan
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA;
| | - Arthur F. Kramer
- Department of Psychology, Northeastern University, Boston, MA 02115, USA; (J.N.H.W.); (K.M.); (N.E.L.); (A.F.K.)
- Beckman Institute, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA
| | - Charles H. Hillman
- Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA;
- Department of Psychology, Northeastern University, Boston, MA 02115, USA; (J.N.H.W.); (K.M.); (N.E.L.); (A.F.K.)
| |
Collapse
|
30
|
Marinho AR, Severo M, Vilela S, Costa R, de Lauzon-Guillain B, Torres D, Lopes C. Is the association between dietary patterns and cognition mediated by children's adiposity? A longitudinal approach in Generation XXI birth cohort. Clin Nutr 2021; 41:231-237. [PMID: 34915274 DOI: 10.1016/j.clnu.2021.11.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/07/2021] [Accepted: 11/24/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND/AIMS There is a consistent body of evidence on the association between single nutrients and cognition, but the role of a healthful dietary pattern on cognition in children has been seldomly studied. This study aims to assess the association between dietary patterns at 4 years (y) and cognitive abilities at 10-13y and examine whether adiposity mediated these associations. METHODS This study used data from a sub-sample of the population-based birth cohort Generation XXI, with complete information on diet and cognition (n = 3575). At 4y, data on dietary intake was collected by a validated food frequency questionnaire and dietary patterns were derived by latent class analysis, namely Energy-dense food (EDF) pattern, Snacking pattern and Healthier pattern (Reference). At 10-13y, the Portuguese Version of the Wechsler Intelligence Scale for Children®-Third Edition was administered by trained psychologists and age-adjusted composite scores were computed: a Full-Scale Intelligence Quotient (IQ), plus a Verbal IQ, Performance IQ and Processing Speed IQ. Age- and sex-specific body mass index (BMI) z-scores, body fat percentage from bioimpedance, and waist-to-weight ratio and waist-to-hip ratio were used as measures of adiposity. Regression coefficients and 95% confidence intervals (CI) were computed using linear regression models (adjusted for maternal age and education, pre-pregnancy BMI, smoking and alcohol intake during pregnancy, child's sex, birthweight, exclusive breastfeeding duration and having siblings at 4y). Mediation analysis was conducted using path analysis. RESULTS After adjustment, children classified in the EDF or a Snacking patterns at 4y were more likely to have lower scores on total IQ (β = -0.116; 95%CI:-0.192,-0.039 and β = -0.148; 95%CI -0.252,-0.044, respectively), Verbal IQ (β = -0.104; 95%CI -0.177, -0.031 and β = -0.163; 95%CI -0.262,-0.064, respectively) and Performance IQ (β = -0.116 95%CI -0.193,-0.040 and β = -0.147; 95%CI -0.250,-0.042, respectively) at 10-13y, when compared to those classified in the Healthier pattern. None of the adiposity measures seemed to explain the associations between dietary patterns and IQ. CONCLUSION This study supports that early unhealthy dietary patterns were associated with lower child's cognitive ability, but this effect did not seem to be mediated by adiposity.
Collapse
Affiliation(s)
- Ana Rita Marinho
- EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal; Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal; Department of Public Health and Forensic Sciences, and Medical School, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Milton Severo
- EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal; Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
| | - Sofia Vilela
- EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal; Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal
| | - Raquel Costa
- EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal; Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal; Digital Human-Environment Interaction Lab, Universidade Lusófona, Portugal
| | | | - Duarte Torres
- EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal; Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal; Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
| | - Carla Lopes
- EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal; Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal; Department of Public Health and Forensic Sciences, and Medical School, Faculty of Medicine, University of Porto, Porto, Portugal.
| |
Collapse
|
31
|
Turan S, Sarioglu FC, Erbas IM, Cavusoglu B, Karagöz E, Şişman AR, Güney SA, Güleryüz H, Abaci A, Ozturk Y, Akay AP. Altered regional grey matter volume and appetite-related hormone levels in adolescent obesity with or without binge-eating disorder. Eat Weight Disord 2021; 26:2555-2562. [PMID: 33548051 DOI: 10.1007/s40519-021-01117-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 01/15/2021] [Indexed: 12/16/2022] Open
Abstract
PURPOSE Binge eating disorder (BED) is characterized by frequent and persistent overeating episodes of binge eating without compensatory behaviors. The aim was to evaluate regional gray matter volume (GMV) abnormalities and appetite-regulating hormone levels (NPY and Leptin) in obese subjects either with or without BED compared to healthy controls (HC). METHODS Twenty-six obese patients with BED, 25 obese patients without BED and 27 healthy subjects as an age-matched control group with neuroimaging and appetite-regulating hormone levels were found eligible for regional GMV abnormalities. A structural magnetic resonance scan and timely blood samples were drawn to assess the appetite-regulating hormone levels. RESULTS The BED obese patients had a greater GMVs of the right medial orbitofrontal cortex (OFC) and the left medial OFC compared to the non-BED obese patients. BED patients were characterized by greater GMV of the left medial OFC than HCs. Relative to the HCs, higher serum NPY levels were found in BED obese and non-BED obese groups. Serum leptin levels (pg/mL) had positively correlations with GMV in right medial OFC, left medial OFC, right lateral OFC, and left anterior cingulate cortex. CONCLUSION Among the reward processing network, which is largely associated with feeding behaviours in individuals with obesity and binge eating disorder, the OFC volumes was correlated with serum leptin concentrations. The results of our study may provide a rationale for exploring the link between regional grey matter volumes and appetite-related hormone levels in people with BED. LEVEL OF EVIDENCE Level III, case-control analytic study.
Collapse
Affiliation(s)
- Serkan Turan
- Department of Child and Adolescent Psychiatry, Tekirdağ State Hospital, Tekirdağ, Turkey.
| | - Fatma Ceren Sarioglu
- Department of Radiology, Division of Pediatric Radiology, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| | - Ibrahim Mert Erbas
- Department of Pediatric Endocrinology, Faculty of Medicine, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| | - Berrin Cavusoglu
- Health Sciences Institutes, Department of Medical Physics, Institute of HealthSciences, Dokuz Eylül University, Izmir, Turkey
| | - Ezgi Karagöz
- Department of Child and Adolescent Psychiatry, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| | - Ali Riza Şişman
- Department of Medical Microbiology, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| | - Sevay Alsen Güney
- Department of Child and Adolescent Psychiatry, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| | - Handan Güleryüz
- Department of Radiology, Division of Pediatric Radiology, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| | - Ayhan Abaci
- Department of Pediatric Endocrinology, Faculty of Medicine, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| | - Yesim Ozturk
- Department of Pediatric Gastroenterology, Faculty of Medicine, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| | - Aynur Pekcanlar Akay
- Department of Child and Adolescent Psychiatry, Dokuz Eylül University Medical Faculty, Izmir, Turkey
| |
Collapse
|
32
|
Hsieh SS, Raine LB, Ortega FB, Hillman CH. The Role of Chronic Physical Activity in Alleviating the Detrimental Relationship of Childhood Obesity on Brain and Cognition. JOURNAL OF COGNITIVE ENHANCEMENT 2021. [DOI: 10.1007/s41465-021-00230-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Abstract
Childhood obesity and its negative relation with children’s brain health has become a growing health concern. Over the last decade, literature has indicated that physical activity attenuates cognitive impairment associated with obesity and excess adiposity in children. However, there is no comprehensive review that considers the extent to which these factors affect different domains of cognition. This narrative review comprehensively summarizes behavioral, neuroimaging, and neuroelectric findings associated with chronic physical activity and fitness on brain and cognition in childhood obesity. Based on the literature reviewed, increased adiposity has a demonstrated relationship with neurocognitive health via mechanisms triggered by central inflammation and insulin resistance, with the most pronounced decrements observed for cognitive domains that are prefrontal- and hippocampal-dependent. Fortunately, physical activity, especially interventions enhancing aerobic fitness and motor coordination, have demonstrated efficacy for attenuating the negative effects of obesity across different subdomains of structural and functional brain imaging, cognition, and multiple academic outcomes in children with overweight or obesity. Such mitigating effects may be accounted for by attenuated central inflammation, improved insulin sensitivity, and increased expression of neurotrophic factors. Lastly, individual differences appear to play a role in this relationship, as the manipulation of physical activity characteristics, the employment of a wide array of cognitive and academic measures, the inclusion of different adiposity measures that are sensitive to neurocognitive function, and the utilization of an inter-disciplinary approach have been found to influence the relationship between physical activity and excess adiposity on brain and cognition.
Collapse
|
33
|
Body fat, cardiovascular risk factors and brain structure in school-age children. Int J Obes (Lond) 2021; 45:2425-2431. [PMID: 34267324 DOI: 10.1038/s41366-021-00913-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/17/2021] [Accepted: 07/06/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND In adults, cardiovascular risk factors are known to be associated with brain health. We hypothesized that these associations are already present at school-age. We examined the associations of adverse body fat measures and cardiovascular risk factors with brain structure, including volumetric measures and white matter microstructure, in 10-year-old children. METHODS We performed a cross-sectional analysis in a population-based prospective cohort study in Rotterdam, the Netherlands. Analyses were based on 3098 children aged 10 years with neuroimaging data and at least one measurement of body fat and cardiovascular risk factors. Body fat measures included body mass index (BMI), fat mass index and android fat mass percentage obtained by Dual-energy X-ray absorptiometry. Cardiovascular risk factors included blood pressure, and serum glucose, insulin and lipids blood concentrations. Structural neuroimaging, including global and regional brain volumes, was quantified by magnetic resonance imaging. DTI was used to assess white matter microstructure, including global fractional anisotropy (FA) and mean diffusivity (MD). RESULTS As compared to children with a normal weight, those with underweight had a smaller total brain and white matter volumes (differences -18.10 (95% Confidence Interval (CI) -30.97,-5.22) cm3, -10.64 (95% CI -16.82,-4.47) cm3, respectively). In contrast, one SDS (Standard Deviation Score) increase in fat mass index was associated with a smaller gray matter volume (differences -3.48 (95% CI -16.82, -4.47) cm3). Also, one SDS increase in android fat mass percentage was associated with lower white matter diffusivity (difference -0.06 (95% CI -0.10, -0.02) SDS). None of the other cardiovascular risk factors were associated with any of the brain outcomes. CONCLUSIONS Body fat measures, but not other cardiovascular risk factors, were associated with structural neuroimaging outcomes in school-aged children. Prospective studies are needed to assess causality, direction and long-term consequences of the associations.
Collapse
|
34
|
Jin S, Rabinowitz AR, Weiss J, Deshpande S, Gupta N, Buford May RA, Small DS. Retrospective survey of youth sports participation: Development and assessment of reliability using school records. PLoS One 2021; 16:e0257487. [PMID: 34534246 PMCID: PMC8448309 DOI: 10.1371/journal.pone.0257487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 09/03/2021] [Indexed: 11/21/2022] Open
Abstract
Many youths participate in sports, and it is of interest to understand the impact of youth sports participation on later-life outcomes. However, prospective studies take a long time to complete and retrospective studies may be more practical and time-efficient to address some questions. We pilot a retrospective survey of youth sports participation and examine agreement between respondent’s self-reported participation with high school records in a sample of 84 adults who graduated from high school between 1948 and 2018. The percent agreement between our survey and the school resources for individual sports ranged between 91.5% and 100%. These findings provide preliminary evidence for the reliability of retrospective self-report of youth sports participation. This survey may serve as an efficient approach for evaluating relationships between involvement in youth sports and health outcomes later in adulthood.
Collapse
Affiliation(s)
- Steven Jin
- College of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Amanda R. Rabinowitz
- Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania, United States of America
- * E-mail:
| | - Jordan Weiss
- Population Studies Center and the Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Sameer Deshpande
- Computer Sciences and Artificial Intelligence Library, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Nitika Gupta
- University of Pennsylvania School of Dental Medicine, Philadelphia, Pennsylvania, United States of America
| | - Reuben A. Buford May
- Department of Sociology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Dylan S. Small
- Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| |
Collapse
|
35
|
Ronan L, Alexander-Bloch A, Fletcher PC. Childhood Obesity, Cortical Structure, and Executive Function in Healthy Children. Cereb Cortex 2021; 30:2519-2528. [PMID: 31646343 PMCID: PMC7175011 DOI: 10.1093/cercor/bhz257] [Citation(s) in RCA: 91] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The development of executive function is linked to maturation of prefrontal cortex (PFC) in childhood. Childhood obesity has been associated with changes in brain structure, particularly in PFC, as well as deficits in executive functions. We aimed to determine whether differences in cortical structure mediate the relationship between executive function and childhood obesity. We analyzed MR-derived measures of cortical thickness for 2700 children between the ages of 9 and 11 years, recruited as part of the NIH Adolescent Brain and Cognitive Development (ABCD) study. We related our findings to measures of executive function and body mass index (BMI). In our analysis, increased BMI was associated with significantly reduced mean cortical thickness, as well as specific bilateral reduced cortical thickness in prefrontal cortical regions. This relationship remained after accounting for age, sex, race, parental education, household income, birth-weight, and in-scanner motion. Increased BMI was also associated with lower executive function. Reduced thickness in the rostral medial and superior frontal cortex, the inferior frontal gyrus, and the lateral orbitofrontal cortex partially accounted for reductions in executive function. These results suggest that childhood obesity is associated with compromised executive function. This relationship may be partly explained by BMI-associated reduced cortical thickness in the PFC.
Collapse
Affiliation(s)
- Lisa Ronan
- Department of Psychiatry, University of Cambridge, Cambridge CB2 8HA UK
| | - Aaron Alexander-Bloch
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, PA 19104, USA
| | - Paul C Fletcher
- Department of Psychiatry, University of Cambridge, Cambridge CB2 8HA UK.,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge CB21 5EF, UK.,The Wellcome-MRC Institute of Metabolic Science-Metabolic Research Laboratories (IMS-MRL), University of Cambridge, Cambridge CB2 0QQ, UK
| |
Collapse
|
36
|
Adise S, Allgaier N, Laurent J, Hahn S, Chaarani B, Owens M, Yuan D, Nyugen P, Mackey S, Potter A, Garavan HP. Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®. Dev Cogn Neurosci 2021; 49:100948. [PMID: 33862325 PMCID: PMC8066422 DOI: 10.1016/j.dcn.2021.100948] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 12/20/2020] [Accepted: 03/22/2021] [Indexed: 02/02/2023] Open
Abstract
Multimodal neuroimaging assessments were utilized to identify generalizable brain correlates of current body mass index (BMI) and predictors of pathological weight gain (i.e., beyond normative development) one year later. Multimodal data from children enrolled in the Adolescent Brain Cognitive Development Study® at 9-to-10-years-old, consisted of structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), resting state (rs), and three task-based functional (f) MRI scans assessing reward processing, inhibitory control, and working memory. Cross-validated elastic-net regression revealed widespread structural associations with BMI (e.g., cortical thickness, surface area, subcortical volume, and DTI), which explained 35% of the variance in the training set and generalized well to the test set (R2 = 0.27). Widespread rsfMRI inter- and intra-network correlations were related to BMI (R2train = 0.21; R2test = 0.14), as were regional activations on the working memory task (R2train = 0.20; (R2test = 0.16). However, reward and inhibitory control tasks were unrelated to BMI. Further, pathological weight gain was predicted by structural features (Area Under the Curve (AUC)train = 0.83; AUCtest = 0.83, p < 0.001), but not by fMRI nor rsfMRI. These results establish generalizable brain correlates of current weight and future pathological weight gain. These results also suggest that sMRI may have particular value for identifying children at risk for pathological weight gain.
Collapse
Affiliation(s)
- Shana Adise
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - Nicholas Allgaier
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Jennifer Laurent
- Department of Nursing, University of Vermont, Burlington, VT, USA
| | - Sage Hahn
- Department of Complex Systems, University of Vermont, Burlington, VT, USA
| | - Bader Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Max Owens
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - DeKang Yuan
- Department of Complex Systems, University of Vermont, Burlington, VT, USA
| | - Philip Nyugen
- Department of Psychiatry, University of Vermont, Burlington, VT, USA; Department of Complex Systems, University of Vermont, Burlington, VT, USA; Department of Nursing, University of Vermont, Burlington, VT, USA; Department of Psychological Science, University of Vermont, Burlington, VT, USA
| | - Scott Mackey
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Alexandra Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Hugh P Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA; Department of Psychological Science, University of Vermont, Burlington, VT, USA
| |
Collapse
|
37
|
Fridman AJ, Yang X, Vilgis V, Keenan KE, Hipwell AE, Guyer AE, Forbes EE, Casement MD. Brain structure and parasympathetic function during rest and stress in young adult women. Brain Struct Funct 2021; 226:1195-1207. [PMID: 33616744 DOI: 10.1007/s00429-021-02234-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 01/28/2021] [Indexed: 10/22/2022]
Abstract
Heart rate variability (HRV) is an important biomarker for parasympathetic function and future health outcomes. The present study examined how the structure of regions in a neural network thought to maintain top-down control of parasympathetic function is associated with HRV during both rest and social stress. Participants were 127 young women (90 Black American), who completed a structural MRI scan and the Trier Social Stress Test (TSST), during which heart rate was recorded. Regression analyses were used to evaluate associations between cortical thickness in five regions of the Central Autonomic Network (CAN; anterior midcingulate cortex [aMCC], pregenual and subgenual anterior cingulate cortex [pgACC, sgACC], orbitofrontal cortex [OFC], and anterior insula) and high-frequency HRV during rest and stress. Results indicated that cortical thickness in CAN regions did not predict average HRV during rest or stress. Greater cortical thickness in the right pgACC was associated with greater peak HRV reactivity during the TSST, and survived correction for multiple comparisons, but not sensitivity analyses with outliers removed. The positive association between cortical thickness in the pgACC and peak HRV reactivity is consistent with the direction of previous findings from studies that examined tonic HRV in adolescents, but inconsistent with findings in adults, which suggests a possible neurodevelopmental shift in the relation between brain structure and autonomic function with age. Future research on age-related changes in brain structure and autonomic function would allow a more thorough understanding of how brain structure may contribute to parasympathetic function across neurodevelopment.
Collapse
Affiliation(s)
| | - Xi Yang
- Department of Psychology, University of Oregon, Eugene, USA
| | - Veronika Vilgis
- Center for Mind and Brain, University of California, Davis, USA
| | - Kate E Keenan
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | - Amanda E Guyer
- Center for Mind and Brain, University of California, Davis, USA
- Department of Human Ecology, University of California, Davis, USA
| | - Erika E Forbes
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | | |
Collapse
|
38
|
Alatorre-Cruz GC, Downs H, Hagood D, Sorensen ST, Williams DK, Larson-Prior L. Effect of obesity on inhibitory control in preadolescents during stop-signal task. An event-related potentials study. Int J Psychophysiol 2021; 165:56-67. [PMID: 33872629 DOI: 10.1016/j.ijpsycho.2021.04.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 03/31/2021] [Accepted: 04/09/2021] [Indexed: 10/21/2022]
Abstract
Preadolescence is a period in which structural and functional changes occur in brain network reorganization that relate to the development of executive control functions, particularly in the areas of attention and cognitive inhibition. Obesity has been associated with a deficit in executive functions and behavioral and electrophysiological differences using the go/no-go task (proactive inhibition), but no study has assessed brain-electrical activity using the stop-signal task (reactive inhibition) in this population. Therefore, we hypothesized that obese preadolescents would show less efficiency in reactive inhibition than their same-age non-obese peers. To test this hypothesis, event-related potentials (ERPs) were collected during a stop-signal task and compared between 27 obese preadolescents (mean BMI = 25.9; 9.65 years old) and 29 normal-weight preadolescents (mean BMI = 17.5; 9.60 years old). No significant differences between groups were observed in behavioral responses. As for ERPs, the obese group had an electrophysiological pattern associated with less efficient conflict monitoring during the "no-go" condition (i.e., less modulation of N200 latency based on the experimental condition), differences in attentional allocation in the "go" condition (less modulation of P300a latency based on experimental condition), and difficulties in rule retrieval from working memory associated with the trial-type in both experimental conditions (smaller P300b amplitude). We conclude that obese preadolescents displayed less ability to modulate conflict-monitoring in the "no-go" condition and attention allocation in the "go" condition, evidencing differences between groups in the development of attention and inhibitory control.
Collapse
Affiliation(s)
- Graciela C Alatorre-Cruz
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America; Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR 72202, United States of America.
| | - Heather Downs
- Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR 72202, United States of America.
| | - Darcy Hagood
- Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR 72202, United States of America.
| | - Seth T Sorensen
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America; Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR 72202, United States of America.
| | - D Keith Williams
- Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR 72202, United States of America; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.
| | - Linda Larson-Prior
- Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR 72202, United States of America; Departments of Psychiatry, Neurology, Neurobiology and Developmental Sciences, Pediatrics and Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR, United States of America.
| |
Collapse
|
39
|
Carbine KA, Duraccio KM, Hedges-Muncy A, Barnett KA, Kirwan CB, Jensen CD. White matter integrity disparities between normal-weight and overweight/obese adolescents: an automated fiber quantification tractography study. Brain Imaging Behav 2020; 14:308-319. [PMID: 30719618 DOI: 10.1007/s11682-019-00036-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Obese adults have been shown to have poorer white brain matter integrity relative to normal-weight peers, but few studies have tested whether white matter integrity is compromised in overweight and obese adolescents. Also, it is unclear if age interacts with body mass to affect white matter integrity in adolescents. We used Automated Fiber Quantification, a tractography method, to compare fractional anisotropy between normal-weight and overweight/obese adolescents in the corpus callosum, corticospinal tract, cingulum, inferior fronto-occipital fasciculus, and uncinate fasciculus. Further, we tested whether any differences were moderated by age. Forty-seven normal-weight and forty overweight/obese adolescents were scanned using a diffusion tensor imaging (DTI) scan sequence. Overweight/obese compared to normal-weight adolescents had decreased white matter integrity in the superior frontal corpus callosum, left and right uncinate fasciculi, left inferior fronto-occipital fasciculus, and left corticospinal tract, which may be related to heightened reward processing. Overweight/obese compared to normal-weight adolescents had increased white matter integrity in the orbital and anterior frontal corpus callosum, right inferior fronto-occipital fasciculus, left cingulum, and left corticospinal tract, which may be related to heightened attentional processing. As age increased, six tracts showed poorer white matter integrity as body mass index percentile (BMI%) increased, but three tracts showed greater white matter integrity as BMI% increased. Future research examining associations between white matter integrity and neural indices of food-related reward and attention are needed to clarify the functional significance of white matter integrity discrepancies between normal-weight and overweight/obese adolescents.
Collapse
Affiliation(s)
- Kaylie A Carbine
- Department of Psychology, Brigham Young University, 223 TLRB, Provo, UT, 84602, USA
| | - Kara M Duraccio
- Department of Psychology, Brigham Young University, 223 TLRB, Provo, UT, 84602, USA
| | - Ariana Hedges-Muncy
- Department of Psychology, Brigham Young University, 223 TLRB, Provo, UT, 84602, USA
| | - Kimberly A Barnett
- Department of Psychology, Brigham Young University, 223 TLRB, Provo, UT, 84602, USA
| | - C Brock Kirwan
- Department of Psychology, Brigham Young University, 223 TLRB, Provo, UT, 84602, USA.,Department of Neuroscience, Brigham Young University, Provo, UT, USA
| | - Chad D Jensen
- Department of Psychology, Brigham Young University, 223 TLRB, Provo, UT, 84602, USA.
| |
Collapse
|
40
|
Kolenič M, Španiel F, Hlinka J, Matějka M, Knytl P, Šebela A, Renka J, Hajek T. Higher Body-Mass Index and Lower Gray Matter Volumes in First Episode of Psychosis. Front Psychiatry 2020; 11:556759. [PMID: 33173508 PMCID: PMC7538831 DOI: 10.3389/fpsyt.2020.556759] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 09/02/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Neurostructural alterations are often reported in first episode of psychosis (FEP), but there is heterogeneity in the direction and location of findings between individual studies. The reasons for this heterogeneity remain unknown. Obesity is disproportionately frequent already early in the course of psychosis and is associated with smaller brain volumes. Thus, we hypothesized that obesity may contribute to brain changes in FEP. METHOD We analyzed MRI scans from 120 participants with FEP and 114 healthy participants. In primary analyses, we performed voxel-based morphometry (VBM) with small volume corrections to regions associated with FEP or obesity in previous meta-analyses. In secondary analyses, we performed whole-brain VBM analyses. RESULTS In primary analyses, we found that when controlling for BMI, FEP had lower GM volume than healthy participants in a) left fronto-temporal region (pTFCE = 0.008) and b) left postcentral gyrus (pTFCE = 0.043). When controlling for FEP, BMI was associated with lower GM volume in left cerebellum (pTFCE < 0.001). In secondary analyses, we found that when controlling for BMI, FEP had lower GM volume than healthy participants in the a) cerebellum (pTFCE = 0.004), b) left frontal (pTFCE = 0.024), and c) right temporal cortex (pTFCE = 0.031). When controlling for FEP, BMI was associated with lower GM volume in cerebellum (pTFCE = 0.004). Levels of C-reactive protein, HDL and LDL-cholesterol correlated with obesity related neurostructural alterations. CONCLUSIONS This study suggests that higher BMI, which is frequent in FEP, may contribute to cerebellar alterations in schizophrenia. As previous studies showed that obesity-related brain alterations may be reversible, our findings raise the possibility that improving the screening for and treatment of obesity and associated metabolic changes could preserve brain structure in FEP.
Collapse
Affiliation(s)
- Marián Kolenič
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia
- 3rd Faculty of Medicine, Charles University, Prague, Czechia
| | - Filip Španiel
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia
| | - Jaroslav Hlinka
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia
- Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czechia
| | - Martin Matějka
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia
- 3rd Faculty of Medicine, Charles University, Prague, Czechia
| | - Pavel Knytl
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia
- 3rd Faculty of Medicine, Charles University, Prague, Czechia
| | - Antonín Šebela
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia
| | - Jiří Renka
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia
- 3rd Faculty of Medicine, Charles University, Prague, Czechia
| | - Tomas Hajek
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| |
Collapse
|
41
|
Mestre Z, Grethe AB, Wierenga CE, Jernigan T, Eichen DM, Chang L, Ernst T, Boutelle KN. Associations Between Body Weight, Hippocampal Volume, and Tissue Signal Intensity in 12- to 18-Year-Olds. Obesity (Silver Spring) 2020; 28:1325-1331. [PMID: 32501641 PMCID: PMC7927957 DOI: 10.1002/oby.22841] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 04/14/2020] [Accepted: 04/15/2020] [Indexed: 01/06/2023]
Abstract
OBJECTIVE The hippocampus is a key structure in feeding behaviors and weight regulation. Obesity may lead to disruptions in hippocampal structure. In animals, obesity-related factors (e.g., high-fat/sugar foods) are associated with hippocampal insult (e.g., alterations in the blood brain barrier). In humans, individuals with obesity, relative to healthy weight, have smaller hippocampal volumes. Few studies have examined the association between body weight and the hippocampus during adolescence, a critical brain development period. This study examined hippocampal volume and tissue signal intensity in adolescents across the weight spectrum. METHODS Structural magnetic resonance imaging and anthropomorphic data were available for 102 12- to 18-year-old adolescents (53% female; 15.07 [SD 1.84] years; standardized BMI [BMIz] scores using the Centers for Disease Control and Prevention growth charts: 0.54 [SD 1.17]) from the Pediatric Imaging, Neurocognition, and Genetics database. Linear regression models controlling for age, sex, genetic ancestry, scanner, and household income examined the relationship between BMIz, hippocampal volume, and T2-weighted hippocampal signal intensity. RESULTS BMIz was negatively associated with T2-weighted hippocampal signal intensity in the left (t = -3.05; P = 0.003; r = -0.21) and right (t = -2.50; P = 0.01; r = -0.36) hippocampi. BMIz was not significantly associated with hippocampal volume. CONCLUSIONS BMIz is associated with hippocampal tissue characteristics during adolescence, which could impact later brain development.
Collapse
Affiliation(s)
- Zoe Mestre
- SDSU/UC San Diego Joint Doctoral Program in Clinical Psychology
- Department of Psychiatry, University of California San Diego, La Jolla CA, USA
| | | | - Christina E. Wierenga
- Department of Psychiatry, University of California San Diego, La Jolla CA, USA
- Veterans Affairs San Diego Healthcare System,Research Service, San Diego CA, USA
| | - Terry Jernigan
- Department of Cognitive Science, University of California San Diego, La Jolla CA, USA
| | - Dawn M. Eichen
- Department of Pediatrics, University of California San Diego, La Jolla CA, USA
| | - Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, and Departrment of Neurology, University of Maryland School of Medecine, Baltimore MD, USA
| | - Thomas Ernst
- Department of Diagnostic Radiology and Nuclear Medicine, and Departrment of Neurology, University of Maryland School of Medecine, Baltimore MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kerri N. Boutelle
- Department of Psychiatry, University of California San Diego, La Jolla CA, USA
- Department of Pediatrics, University of California San Diego, La Jolla CA, USA
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| |
Collapse
|
42
|
Season of birth and sugary beverages are predictors of Raven's Standard Progressive Matrices Scores in adolescents. Sci Rep 2020; 10:6145. [PMID: 32273542 PMCID: PMC7145867 DOI: 10.1038/s41598-020-63089-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 03/20/2020] [Indexed: 11/24/2022] Open
Abstract
To investigate factors associated with cognitive functioning in healthy adolescents, a school-based cross-sectional study was conducted on 1370 adolescents aged 11–16 years that were randomly selected from all governorates of Kuwait. Raven’s Standard Progressive Matrices (SPM), a non-verbal test of intelligence, was used to measure cognitive functioning of the study participants. Data on predictors of cognitive functioning were collected from parents and adolescents. Weight and height of the participants were measured in a standardized manner and blood samples were tested in an accredited laboratory under strict measures of quality control. In multivariable linear regression analysis, factors that showed significant association with the SPM score were gender (p = 0.002), season of birth (p = 0.009), place of residence (p < 0.001), father’s (p < 0.001) and mother’s (p = 0.025) educational level, type of housing (p < 0.001), passive smoking at home (p = 0.031), sleeping hours during weekends (p = 0.017), students’ educational level (p < 0.001) and the frequency of consumption of sugary drinks (p < 0.001). The link between cognitive functioning and season of birth seems to be robust in various geographical locations including the Middle East. The association between sugary drinks and cognitive functioning highlights the importance of diet independently of obesity and support efforts to reduce consumption of sugary drinks among children.
Collapse
|
43
|
Ruotsalainen I, Gorbach T, Perkola J, Renvall V, Syväoja HJ, Tammelin TH, Karvanen J, Parviainen T. Physical activity, aerobic fitness, and brain white matter: Their role for executive functions in adolescence. Dev Cogn Neurosci 2020; 42:100765. [PMID: 32072938 PMCID: PMC7013351 DOI: 10.1016/j.dcn.2020.100765] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 01/29/2020] [Accepted: 01/29/2020] [Indexed: 11/26/2022] Open
Abstract
Physical activity and exercise beneficially link to brain properties and cognitive functions in older adults, but the findings concerning adolescents remain tentative. During adolescence, the brain undergoes significant changes, which are especially pronounced in white matter. Studies provide contradictory evidence regarding the influence of physical activity or aerobic-exercise on executive functions in youth. Little is also known about the link between both fitness and physical activity with the brain's white matter during puberty. We investigated the connection between aerobic fitness and physical activity with the white matter in 59 adolescents. We further determined whether white matter interacts with the connection of fitness or physical activity with core executive functions. Our results show that only the level of aerobic fitness, but not of physical activity relates to white matter. Furthermore, the white matter of the corpus callosum and the right superior corona radiata moderates the links of aerobic fitness and physical activity with working memory. Our results suggest that aerobic fitness and physical activity have an unequal contribution to the white matter properties in adolescents. We propose that the differences in white matter properties could underlie the variations in the relationship between either physical activity or aerobic fitness with working memory.
Collapse
Affiliation(s)
- Ilona Ruotsalainen
- Department of Psychology, Centre for Interdisciplinary Brain Research, University of Jyväskylä, Jyväskylä, Finland.
| | - Tetiana Gorbach
- Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden; Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland
| | - Jaana Perkola
- Clinical Neurophysiology, University of Helsinki and Helsinki University Hospital, Finland
| | - Ville Renvall
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland; AMI Centre, Aalto NeuroImaging, School of Science, Aalto University, Espoo, Finland
| | - Heidi J Syväoja
- LIKES Research Centre for Physical Activity and Health, Jyväskylä, Finland
| | - Tuija H Tammelin
- LIKES Research Centre for Physical Activity and Health, Jyväskylä, Finland
| | - Juha Karvanen
- Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland
| | - Tiina Parviainen
- Department of Psychology, Centre for Interdisciplinary Brain Research, University of Jyväskylä, Jyväskylä, Finland
| |
Collapse
|
44
|
Westwater ML, Vilar-López R, Ziauddeen H, Verdejo-García A, Fletcher PC. Combined effects of age and BMI are related to altered cortical thickness in adolescence and adulthood. Dev Cogn Neurosci 2019; 40:100728. [PMID: 31751856 PMCID: PMC6913515 DOI: 10.1016/j.dcn.2019.100728] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 10/31/2019] [Accepted: 11/03/2019] [Indexed: 12/17/2022] Open
Abstract
Overweight and obesity are associated with functional and structural alterations in the brain, but how these associations change across critical developmental periods remains unknown. Here, we examined the relationship between age, body mass index (BMI) and cortical thickness (CT) in healthy adolescents (n = 70; 14-19 y) and adults (n = 75; 25-45 y). We also examined the relationship between adiposity, impulsivity, measured by delay discounting (DD), and CT of the inferior frontal gyrus (IFG), a region key to impulse control. A significant age-by-BMI interaction was observed in both adolescents and adults; however, the direction of this relationship differed between age groups. In adolescents, increased age-adjusted BMI Z-score attenuated age-related CT reductions globally and in frontal, temporal and occipital regions. In adults, increased BMI augmented age-related CT reductions, both globally and in bilateral parietal cortex. Although DD was unrelated to adiposity in both groups, increased DD and adiposity were both associated with reduced IFG thickness in adolescents and adults. Our findings suggest that the known age effects on CT in adolescence and adulthood are moderated by adiposity. The association between weight, cortical development and its functional implications would suggest that future studies of adolescent and adult brain development take adiposity into account.
Collapse
Affiliation(s)
- Margaret L Westwater
- Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge CB2 0SZ, UK.
| | - Raquel Vilar-López
- Mind, Brain and Behavior Research Center, Universidad de Granada, Granada, Spain
| | - Hisham Ziauddeen
- Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge CB2 0SZ, UK; Wellcome Trust MRC Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridgeshire and Peterborough Foundation Trust, Cambridge, CB21 5EF, UK
| | - Antonio Verdejo-García
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Australia
| | - Paul C Fletcher
- Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge CB2 0SZ, UK; Wellcome Trust MRC Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridgeshire and Peterborough Foundation Trust, Cambridge, CB21 5EF, UK
| |
Collapse
|
45
|
Abstract
We propose that variation in brain energy expenditure during childhood is an unexplored but important influence on obesity risk. This hypothesis is supported by evidence that the energy required by the developing brain decreases in later childhood as the rate of body weight gain is increasing. The hypothesis is further supported by findings of genetic and brain imaging research indicating a trade-off between the body mass index (BMI) and the volume of cortical and subcortical structures, and inverse associations between BMI and energetically costly executive cognitive functions. Efforts to quantify variability in brain energy use across children could inspire new educational strategies that increase brain energy demands and thereby reduce obesity risk. The causes of obesity are complex and multifactorial. We propose that one unconsidered but likely important factor is the energetic demand of brain development, which could constrain energy available for body growth and other functions, including fat deposition. Humans are leanest during early childhood and regain body fat in later childhood. Children reaching this adiposity rebound (AR) early are at risk for adult obesity. In aggregate data, the developing brain consumes a lifetime peak of 66% of resting energy expenditure in the years preceding the AR, and brain energy use is inversely related to body weight gain from infancy until puberty. Building on this finding, we hypothesize that individual variation in childhood brain energy expenditure will help explain variation in the timing of the AR and subsequent obesity risk. The idea that brain energetics constrain fat deposition is consistent with evidence that genes that elevate BMI are expressed in the brain and mediate a trade-off between the size of brain structures and BMI. Variability in energy expended on brain development and function could also help explain widely documented inverse relationships between the BMI and cognitive abilities. We estimate that variability in brain energetics could explain the weight differential separating children at the 50th and 70th BMI-for-age centiles immediately before the AR. Our model proposes a role for brain energetics as a driver of variation within a population’s BMI distribution and suggests that educational interventions that boost global brain energy use during childhood could help reduce the burden of obesity.
Collapse
|
46
|
Lowe CJ, Reichelt AC, Hall PA. The Prefrontal Cortex and Obesity: A Health Neuroscience Perspective. Trends Cogn Sci 2019; 23:349-361. [DOI: 10.1016/j.tics.2019.01.005] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 01/08/2019] [Accepted: 01/14/2019] [Indexed: 10/27/2022]
|
47
|
Augustijn MJCM, Deconinck FJA, D'Hondt E, Van Acker L, De Guchtenaere A, Lenoir M, Caeyenberghs K. Reduced motor competence in children with obesity is associated with structural differences in the cerebellar peduncles. Brain Imaging Behav 2019; 12:1000-1010. [PMID: 28831722 DOI: 10.1007/s11682-017-9760-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Previous studies have suggested that neurological factors partly explain the reduced motor competence found in many children with obesity. Accordingly, the aim of this study was to compare motor competence and white matter organization of important pathways for motor control (cerebellar peduncles) in children with and without obesity. Nineteen children with obesity and 25 children with a healthy weight, aged 7-11 years old, were included. Anthropometric measurements were taken and the level of motor competence was assessed using the Movement Assessment Battery for Children (2nd Edition). Children's brain was scanned using diffusion weighted imaging preceded by a standard anatomical scan. Fractional anisotropy and mean diffusivity were extracted from the cerebellar peduncles. Obese children's level of motor competence was significantly lower than that in healthy weight peers (p < 0.05). Additionally, significant group differences (p < 0.05) were found for values of fractional anisotropy, but not for mean diffusivity. Further analyses revealed that lower values of fractional anisotropy in the inferior (p = 0.040) and superior (p = 0.007) cerebellar peduncles were present in children with obesity compared to children with a healthy weight. After controlling for multiple comparisons (p < 0.0167), only significant differences in the superior cerebellar peduncle remained significant. Our results showed that childhood obesity is accompanied by reduced motor competence and alterations in white matter organization. This suggests that the motor difficulties of children with obesity are not solely due to carrying excess weight, which may have implications for prevention and intervention programs.
Collapse
Affiliation(s)
- Mireille J C M Augustijn
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium. .,Research Foundation Flanders (FWO), Brussel, Belgium.
| | - Frederik J A Deconinck
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium
| | - Eva D'Hondt
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium.,Faculty of Physical Education and Physiotherapy, Department of Movement and Sports Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussel, Belgium
| | - Lore Van Acker
- Zeepreventorium VZW, Koninklijke Baan 5, 8420, De Haan, Belgium
| | | | - Matthieu Lenoir
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium
| | - Karen Caeyenberghs
- School of Psychology, Australian Catholic University, 115 Victoria Pde, Melbourne, VIC, 3065, Australia
| |
Collapse
|
48
|
Azor AM, Cole JH, Holland AJ, Dumba M, Patel MC, Sadlon A, Goldstone AP, Manning KE. Increased brain age in adults with Prader-Willi syndrome. Neuroimage Clin 2019; 21:101664. [PMID: 30658944 PMCID: PMC6412082 DOI: 10.1016/j.nicl.2019.101664] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 11/30/2018] [Accepted: 01/04/2019] [Indexed: 11/17/2022]
Abstract
Prader-Willi syndrome (PWS) is the most common genetic obesity syndrome, with associated learning difficulties, neuroendocrine deficits, and behavioural and psychiatric problems. As the life expectancy of individuals with PWS increases, there is concern that alterations in brain structure associated with the syndrome, as a direct result of absent expression of PWS genes, and its metabolic complications and hormonal deficits, might cause early onset of physiological and brain aging. In this study, a machine learning approach was used to predict brain age based on grey matter (GM) and white matter (WM) maps derived from structural neuroimaging data using T1-weighted magnetic resonance imaging (MRI) scans. Brain-predicted age difference (brain-PAD) scores, calculated as the difference between chronological age and brain-predicted age, are designed to reflect deviations from healthy brain aging, with higher brain-PAD scores indicating premature aging. Two separate adult cohorts underwent brain-predicted age calculation. The main cohort consisted of adults with PWS (n = 20; age mean 23.1 years, range 19.8-27.7; 70.0% male; body mass index (BMI) mean 30.1 kg/m2, 21.5-47.7; n = 19 paternal chromosome 15q11-13 deletion) and age- and sex-matched controls (n = 40; age 22.9 years, 19.6-29.0; 65.0% male; BMI 24.1 kg/m2, 19.2-34.2) adults (BMI PWS vs. control P = .002). Brain-PAD was significantly greater in PWS than controls (effect size mean ± SEM +7.24 ± 2.20 years [95% CI 2.83, 11.63], P = .002). Brain-PAD remained significantly greater in PWS than controls when restricting analysis to a sub-cohort matched for BMI consisting of n = 15 with PWS with BMI range 21.5-33.7 kg/m2, and n = 29 controls with BMI 21.7-34.2 kg/m2 (effect size +5.51 ± 2.56 years [95% CI 3.44, 10.38], P = .037). In the PWS group, brain-PAD scores were not associated with intelligence quotient (IQ), use of hormonal and psychotropic medications, nor severity of repetitive or disruptive behaviours. A 24.5 year old man (BMI 36.9 kg/m2) with PWS from a SNORD116 microdeletion also had increased brain PAD of 12.87 years, compared to 0.84 ± 6.52 years in a second control adult cohort (n = 95; age mean 34.0 years, range 19.9-55.5; 38.9% male; BMI 28.7 kg/m2, 19.1-43.1). This increase in brain-PAD in adults with PWS indicates abnormal brain structure that may reflect premature brain aging or abnormal brain development. The similar finding in a rare patient with a SNORD116 microdeletion implicates a potential causative role for this PWS region gene cluster in the structural brain abnormalities associated primarily with the syndrome and/or its complications. Further longitudinal neuroimaging studies are needed to clarify the natural history of this increase in brain age in PWS, its relationship with obesity, and whether similar findings are seen in those with PWS from maternal uniparental disomy.
Collapse
Affiliation(s)
- Adriana M Azor
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK.
| | - James H Cole
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK.
| | - Anthony J Holland
- Cambridge Intellectual and Developmental Disabilities Research Group, Academic Department of Psychiatry, University of Cambridge, Cambridge, UK; National Institute for Health Research (NIHR) Collaborations for Leadership in Applied Health Care Research and Care (CLAHRC), East of England, UK.
| | - Maureen Dumba
- Department of Radiology, Imperial College Healthcare NHS Trust, London, UK.
| | - Maneesh C Patel
- Department of Radiology, Imperial College Healthcare NHS Trust, London, UK.
| | - Angelique Sadlon
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK.
| | - Anthony P Goldstone
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK; PsychoNeuroEndocrinology Research Group, Neuropsychopharmacology Unit, Centre for Psychiatry, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK.
| | - Katherine E Manning
- Cambridge Intellectual and Developmental Disabilities Research Group, Academic Department of Psychiatry, University of Cambridge, Cambridge, UK.
| |
Collapse
|
49
|
Zhang Z, Coppin G. To What Extent Memory Could Contribute to Impaired Food Valuation and Choices in Obesity? Front Psychol 2018; 9:2523. [PMID: 30618948 PMCID: PMC6297373 DOI: 10.3389/fpsyg.2018.02523] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 11/27/2018] [Indexed: 12/17/2022] Open
Abstract
Obesity is associated with a diverse array of cognitive and affective deficits, among which impairments in food valuation and choices have received increasing attention. The neural underpinnings of such impairments, however, remain poorly understood, partly because a complete understanding of these processes under normal conditions has yet to be achieved. A rapidly growing literature on the interaction between memory and decision-making has begun to highlight the integral role of memory in decision making especially in the real world, as well as the role of the hippocampus in supporting flexible decision making. Perhaps not coincidentally, altered memory performances in obesity have been well documented, and the underlying neurobiological bases of these memory alterations have also started to be better described, involving pathologies at the biochemical, cellular, and circuit levels. Despite such correspondence, the link between memory impairments and food valuation/choice deficits in obesity has received little attention. In this article, we first summarize the growing empirical support for the relevance of memory for decision making, focusing on flexible value-based decisions. We then describe converging evidence on different forms of memory impairments accompanying obesity. Building on these findings, we formulate a general neuropsychological framework and discuss how dysfunctions in the formation and retrieval of memory may interfere with adaptive decision making for food. Finally, we stress the important practical implications of this framework, arguing that memory deficits are likely a significant contributor to suboptimal food purchase and eating behavior exhibited by obese individuals.
Collapse
Affiliation(s)
- Zhihao Zhang
- Haas School of Business, University of California, Berkeley, Berkeley, CA, United States.,Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Géraldine Coppin
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland.,Laboratory for the Study of Emotion Elicitation and Expression, Department of Psychology, University of Geneva, Geneva, Switzerland.,Department of Psychology, Distance Learning University Switzerland (Unidistance), Brig, Switzerland
| |
Collapse
|
50
|
Perlaki G, Molnar D, Smeets PAM, Ahrens W, Wolters M, Eiben G, Lissner L, Erhard P, van Meer F, Herrmann M, Janszky J, Orsi G. Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity. PLoS One 2018; 13:e0205331. [PMID: 30335775 PMCID: PMC6193643 DOI: 10.1371/journal.pone.0205331] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 09/24/2018] [Indexed: 11/18/2022] Open
Abstract
Objectives Neuroimaging data suggest that pediatric overweight and obesity are associated with morphological alterations in gray matter (GM) brain structures, but previous studies using mainly voxel-based morphometry (VBM) showed inconsistent results. Here, we aimed to examine the relationship between youth obesity and the volume of predefined reward system structures using magnetic resonance (MR) volumetry. We also aimed to complement volumetry with VBM-style analysis. Methods Fifty-one Caucasian young subjects (32 females; mean age: 13.8±1.9, range: 10.2–16.5 years) were included. Subjects were selected from a subsample of the I.Family study examined in the Hungarian center. A T1-weighted 1 mm3 isotropic resolution image was acquired. Age- and sex-standardized body mass index (zBMI) was assessed at the day of MRI and ~1.89 years (mean±SD: 689±188 days) before the examination. Obesity related GM alterations were investigated using MR volumetry in five predefined brain structures presumed to play crucial roles in body weight regulation (hippocampus, amygdala, accumbens, caudate, putamen), as well as whole-brain and regional VBM. Results The volumes of accumbens and amygdala showed significant positive correlations with zBMI, while their GM densities were inversely related to zBMI. Voxel-based GM mass also showed significant negative correlation with zBMI when investigated in the predefined amygdala region, but this relationship was mediated by GM density. Conclusions Overweight/obesity related morphometric brain differences already seem to be present in children/adolescents. Our work highlights the disparity between volume and VBM-derived measures and that GM mass (combination of volume and density) is not informative in the context of obesity related volumetric changes. To better characterize the association between childhood obesity and GM morphometry, a combination of volumetric segmentation and VBM methods, as well as future longitudinal studies are necessary. Our results suggest that childhood obesity is associated with enlarged structural volumes, but decreased GM density in the reward system.
Collapse
Affiliation(s)
- Gabor Perlaki
- MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, University of Pecs, Medical School, Pecs, Hungary
- * E-mail:
| | - Denes Molnar
- Department of Pediatrics, University of Pecs, Medical School, Pecs, Hungary
| | - Paul A. M. Smeets
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Division of Human Nutrition, Wageningen University & Research, Wageningen, Netherlands
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Gabriele Eiben
- Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Biomedicine and Public Health, School of Health and Education, University of Skövde, Skövde, Sweden
| | - Lauren Lissner
- Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Peter Erhard
- Center for Cognitive Sciences, University of Bremen, Bremen, Germany
- Department of Neuropsychology and Behavioral Neurobiology, University of Bremen, Bremen, Germany
| | - Floor van Meer
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Manfred Herrmann
- Center for Cognitive Sciences, University of Bremen, Bremen, Germany
- Department of Neuropsychology and Behavioral Neurobiology, University of Bremen, Bremen, Germany
| | - Jozsef Janszky
- MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, University of Pecs, Medical School, Pecs, Hungary
| | - Gergely Orsi
- MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, University of Pecs, Medical School, Pecs, Hungary
| | | |
Collapse
|