Physical Fitness, White Matter Volume and Academic Performance in Children: Findings From the ActiveBrains and FITKids2 Projects

Objectives: The aims of this study were (i) to examine the association between cardiorespiratory fitness and white matter volume and test whether those associations differ between normal-weight and overweight/obese children (ii) to analyze the association between other physical fitness components (i.e., motor and muscular) and white matter volume, and (iii) to examine whether the fitness-related associations in white matter volume were related to academic performance. Methods: Data came from two independent projects: ActiveBrains project (n = 100; 10.0 ± 1.1 years; 100% overweight/obese; Spain) and FITKids2 project (n = 242; 8.6 ± 0.5 years; 36% overweight/obese, United States). Cardiorespiratory fitness was assessed in both projects, and motor and muscular fitness were assessed in the ActiveBrains project. T1-weighted images were acquired with a 3.0 T S Magnetom Tim Trio system. Academic performance was assessed by standardized tests. Results: Cardiorespiratory fitness was associated with greater white matter volume in the ActiveBrain project (P < 0.001, k = 177; inferior fronto-opercular gyrus and inferior temporal gyrus) and in the FITKids project (P < 0.001, k = 117; inferior temporal gyrus, cingulate gyrus, middle occipital gyrus and fusiform gyrus) among overweight/obese children. However, no associations were found among normal-weight children in the FITKids project. In the ActiveBrains project, motor fitness was related to greater white matter volume (P < 0.001, k = 173) in six regions, specifically, insular cortex, caudate, bilateral superior temporal gyrus and bilateral supramarginal gyrus; muscular fitness was associated with greater white matter volumes (P < 0.001, k = 191) in two regions, particularly, the bilateral caudate and bilateral cerebellum IX. The white matter volume of six of these regions were related to academic performance, but after correcting for multiple comparisons, only the insular cortex remained significantly related to math calculations skills (β = 0.258; P < 0.005). In both projects, no brain regions showed a statistically significant negative association between any physical fitness component and white matter volume. Conclusion: Cardiorespiratory fitness may positively relate to white matter volume in overweight/obese children, and in turn, academic performance. In addition, motor and muscular fitness may also influence white matter volume coupled with better academic performance. From a public health perspective, implementing exercise interventions that combine aerobic, motor and muscular training to enhance physical fitness may benefit brain development and academic success.

[1]  Michael Noseworthy,et al.  White matter growth as a mechanism of cognitive development in children , 2006, NeuroImage.

[2]  Heather A McKay,et al.  Enhancing a Somatic Maturity Prediction Model. , 2015, Medicine and science in sports and exercise.

[3]  F. Barkhof,et al.  Alterations in white matter volume and integrity in obesity and type 2 diabetes , 2016, Metabolic Brain Disease.

[4]  T. Cole,et al.  Extended international (IOTF) body mass index cut‐offs for thinness, overweight and obesity , 2012, Pediatric obesity.

[5]  R. Kail Speed of information processing in patients with multiple sclerosis. , 1998, Journal of clinical and experimental neuropsychology.

[6]  Jie Li,et al.  Cerebral angiogenesis and expression of angiogenic factors in aging rats after exercise. , 2006, Current neurovascular research.

[7]  Charles H Hillman,et al.  Physical Activity, Fitness, Cognitive Function, and Academic Achievement in Children: A Systematic Review. , 2016, Medicine and science in sports and exercise.

[8]  Heidi Johansen-Berg,et al.  A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain , 2016, NeuroImage.

[9]  Vanesa España-Romero,et al.  Elbow Position Affects Handgrip Strength in Adolescents: Validity and Reliability of Jamar, DynEx, and TKK Dynamometers , 2010, Journal of strength and conditioning research.

[10]  Karen Caeyenberghs,et al.  Reduced motor competence in children with obesity is associated with structural differences in the cerebellar peduncles , 2017, Brain Imaging and Behavior.

[11]  James F Sallis,et al.  Independent and combined influence of the components of physical fitness on academic performance in youth. , 2014, The Journal of pediatrics.

[12]  Arthur F. Kramer,et al.  A neuroimaging investigation of the association between aerobic fitness, hippocampal volume, and memory performance in preadolescent children , 2010, Brain Research.

[13]  Jonatan R. Ruiz,et al.  Hand span influences optimal grip span in boys and girls aged 6 to 12 years. , 2008, The Journal of hand surgery.

[14]  Xi-Nian Zuo,et al.  REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing , 2011, PloS one.

[15]  Thomas E. Nichols,et al.  Nonstationary cluster-size inference with random field and permutation methods , 2004, NeuroImage.

[16]  B. Koes,et al.  Overweight and obesity are associated with musculoskeletal complaints as early as childhood: a systematic review , 2014, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[17]  J Suni,et al.  Criterion-related validity of field-based fitness tests in youth: a systematic review , 2009, British Journal of Sports Medicine.

[18]  Yupeng Wu,et al.  Subcomponents and Connectivity of the Inferior Fronto-Occipital Fasciculus Revealed by Diffusion Spectrum Imaging Fiber Tracking , 2016, Front. Neuroanat..

[19]  Mitchell Glickstein,et al.  Cerebellum: Connections and Functions , 2008, The Cerebellum.

[20]  F B Ortega,et al.  Reliability of health-related physical fitness tests in European adolescents. The HELENA Study , 2008, International Journal of Obesity.

[21]  P. Szeszko,et al.  MRI atlas of human white matter , 2006 .

[22]  L. Léger,et al.  The multistage 20 metre shuttle run test for aerobic fitness. , 1988, Journal of sports sciences.

[23]  Naiman A. Khan,et al.  The Associations between Adiposity, Cognitive Function, and Achievement in Children , 2018, Medicine and science in sports and exercise.

[24]  David C. Nieman,et al.  Children's OMNI Scale of Perceived Exertion: walking/running evaluation. , 2001 .

[25]  Arthur F. Kramer,et al.  Aerobic fitness is associated with greater white matter integrity in children , 2014, Front. Hum. Neurosci..

[26]  Michael Sjöström,et al.  Field-based fitness assessment in young people: the ALPHA health-related fitness test battery for children and adolescents , 2010, British Journal of Sports Medicine.

[27]  Robert M Malina,et al.  Biological maturation of youth athletes: assessment and implications , 2015, British Journal of Sports Medicine.

[28]  R. Bottinelli,et al.  Reduction of Movement in Neurological Diseases: Effects on Neural Stem Cells Characteristics , 2018, Front. Neurosci..

[29]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[30]  Bonnie J. Nagel,et al.  Developmental Cognitive Neuroscience White Matter Connectivity and Aerobic Fitness in Male Adolescents , 2022 .

[31]  M. Sjöström,et al.  Physical fitness in childhood and adolescence: a powerful marker of health , 2008, International Journal of Obesity.

[32]  Patrick Bergman,et al.  Interrater Reliability and Time Measurement Validity of Speed–Agility Field Tests in Adolescents , 2011, Journal of strength and conditioning research.

[33]  Oded Bar-Or,et al.  Pediatric Sports Medicine for the Practitioner , 1983, Comprehensive Manuals in Pediatrics.

[34]  Uwe Klose,et al.  Comparison of a 32‐channel with a 12‐channel head coil: Are there relevant improvements for functional imaging? , 2011, Journal of magnetic resonance imaging : JMRI.

[35]  M. Kohlmeier,et al.  Examination of muscle morphology and neuromuscular function in normal weight and overfat children aged 7‐10 years , 2018, Scandinavian journal of medicine & science in sports.

[36]  Feiyan Chen,et al.  Individual structural differences in left inferior parietal area are associated with schoolchildrens' arithmetic scores , 2013, Front. Hum. Neurosci..

[37]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[38]  Arthur F. Kramer,et al.  Basal Ganglia Volume Is Associated with Aerobic Fitness in Preadolescent Children , 2010, Developmental Neuroscience.

[39]  Alan C. Evans,et al.  Brain development during childhood and adolescence: a longitudinal MRI study , 1999, Nature Neuroscience.

[40]  F B Ortega,et al.  Criterion-related validity of field-based muscular fitness tests in youth. , 2012, The Journal of sports medicine and physical fitness.

[41]  A. F. Kramer,et al.  Aerobic fitness is associated with greater efficiency of the network underlying cognitive control in preadolescent children , 2011, Neuroscience.

[42]  Eric E. Smith,et al.  Cerebral White Matter , 2008, Annals of the New York Academy of Sciences.

[43]  Matthew B. Pontifex,et al.  White matter microstructure is associated with cognitive control in children , 2013, Biological Psychology.

[44]  Roland N. Pittman,et al.  Measurement of Oxygen , 2011 .

[45]  Paul C. Fletcher,et al.  Obesity associated with increased brain age from midlife , 2016, Neurobiology of Aging.

[46]  Andrés Catena,et al.  An exercise-based randomized controlled trial on brain, cognition, physical health and mental health in overweight/obese children (ActiveBrains project): Rationale, design and methods. , 2016, Contemporary clinical trials.

[47]  Nick C. Fox,et al.  Ten simple rules for reporting voxel-based morphometry studies , 2008, NeuroImage.

[48]  Michael Sjöström,et al.  Assessing Muscular Strength in Youth: Usefulness of Standing Long Jump as a General Index of Muscular Fitness , 2010, Journal of strength and conditioning research.

[49]  Bruce D. McCandliss,et al.  White matter microstructures underlying mathematical abilities in children , 2008, Neuroreport.

[50]  S. Andersen Trajectories of brain development: point of vulnerability or window of opportunity? , 2003, Neuroscience & Biobehavioral Reviews.

[51]  Masahiro Yamaguchi,et al.  Voluntary Exercise Increases Oligodendrogenesis in Spinal Cord , 2010, The International journal of neuroscience.

[52]  Alan C. Evans,et al.  Maturation of white matter in the human brain: a review of magnetic resonance studies , 2001, Brain Research Bulletin.

[53]  R Veit,et al.  Compromised white matter integrity in obesity , 2015, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[54]  A. Zallone,et al.  Recovery of the soleus muscle after short- and long-term disuse induced by hindlimb unloading: effects on the electrical properties and myosin heavy chain profile , 2005, Neurobiology of Disease.

[55]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[56]  M. Bartels,et al.  The effects of parental education on exercise behavior in childhood and youth: a study in Dutch and Finnish twins , 2017, Scandinavian journal of medicine & science in sports.

[57]  Francisco B. Ortega,et al.  A whole brain volumetric approach in overweight/obese children: Examining the association with different physical fitness components and academic performance. The ActiveBrains project , 2017, NeuroImage.