Skip to main content
Top
Gepubliceerd in: Child Psychiatry & Human Development 3/2020

25-01-2020 | Original Article

White Matter Tract Integrity, Involvement in Sports, and Depressive Symptoms in Children

Auteurs: Lisa S. Gorham, Deanna M. Barch

Gepubliceerd in: Child Psychiatry & Human Development | Uitgave 3/2020

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

White matter tract integrity, measured via fractional anisotropy (FA), may serve as a mediating variable between exercise and depression. To study this, we examined data from 3973 children participating in the ABCD study. Parents of children completed the Sports and Activities questionnaire and the Child Behavior Checklist, and children completed a diffusion MRI scan, providing information about the FA of the parahippocampal cingulum and fornix. Results showed that involvement in sports was associated with reduced depression in boys. The number of activities and sports that a child was involved in was negatively related to FA of the left fornix but was unrelated to FA of other tracts. FA of these white matter tracts was also unrelated to depressive symptoms. This suggests that while white matter tract integrity is associated with exercise, it may not be part of a pathway linking exercise to depression levels in preadolescent boys.
Literatuur
2.
go back to reference World Health Organization (2004) Part 4: Burden of disease: DALYs. In: Mathers C, Boerma T, Fat DM (eds) The Global Burden of Disease: 2004 Update. WHO Press, Geneva, Switzerland, p 39–52 World Health Organization (2004) Part 4: Burden of disease: DALYs. In: Mathers C, Boerma T, Fat DM (eds) The Global Burden of Disease: 2004 Update. WHO Press, Geneva, Switzerland, p 39–52
3.
go back to reference Rao U (2006) Development and natural history of pediatric depression: treatment implications. Clin Neuropsychiatry 3(3):194–204 Rao U (2006) Development and natural history of pediatric depression: treatment implications. Clin Neuropsychiatry 3(3):194–204
4.
go back to reference Biddle SJ, Asare M (2011) Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med 45(11):886–895CrossRefPubMed Biddle SJ, Asare M (2011) Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med 45(11):886–895CrossRefPubMed
5.
go back to reference Gorham L et al (2019) Involvement in sports, hippocampal volume, and depressive symptoms in children. Biol Psychiatry 4(5):484–492 Gorham L et al (2019) Involvement in sports, hippocampal volume, and depressive symptoms in children. Biol Psychiatry 4(5):484–492
6.
go back to reference Chaddock L et al (2010) A neuroimaging investigation of the association between aerobic fitness, hippocampal volume, and memory performance in preadolescent children. Brain Res 1358:172–183PubMedCentralCrossRefPubMed Chaddock L et al (2010) A neuroimaging investigation of the association between aerobic fitness, hippocampal volume, and memory performance in preadolescent children. Brain Res 1358:172–183PubMedCentralCrossRefPubMed
7.
go back to reference Herting MM, Keenan MF (2017) Exercise and the developing brain in children and adolescents. Physical activity and the aging brain. Academic Press, Cambridge, pp 13–19CrossRef Herting MM, Keenan MF (2017) Exercise and the developing brain in children and adolescents. Physical activity and the aging brain. Academic Press, Cambridge, pp 13–19CrossRef
8.
go back to reference Stephens T (1988) Physical activity and mental health in the United States and Canada: evidence from four population surveys. Prev Med 17(1):35–47CrossRefPubMed Stephens T (1988) Physical activity and mental health in the United States and Canada: evidence from four population surveys. Prev Med 17(1):35–47CrossRefPubMed
9.
go back to reference Singh NA, Clements KM, Singh MA (2001) The efficacy of exercise as a long-term antidepressant in elderly subjects: a randomized, controlled trial. J Gerontol Ser A 56(8):M497–M504CrossRef Singh NA, Clements KM, Singh MA (2001) The efficacy of exercise as a long-term antidepressant in elderly subjects: a randomized, controlled trial. J Gerontol Ser A 56(8):M497–M504CrossRef
10.
11.
go back to reference Yuede CM et al (2009) Effects of voluntary and forced exercise on plaque deposition, hippocampal volume, and behavior in the Tg2576 mouse model of Alzheimer's disease. Neurobiol Dis 35(3):426–432PubMedCentralCrossRefPubMed Yuede CM et al (2009) Effects of voluntary and forced exercise on plaque deposition, hippocampal volume, and behavior in the Tg2576 mouse model of Alzheimer's disease. Neurobiol Dis 35(3):426–432PubMedCentralCrossRefPubMed
12.
go back to reference Schmaal L et al (2016) Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry 21(6):806–812CrossRefPubMed Schmaal L et al (2016) Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry 21(6):806–812CrossRefPubMed
13.
go back to reference Cheng YQ et al (2010) Brain volume alteration and the correlations with the clinical characteristics in drug-naive first-episode MDD patients: a voxel-based morphometry study. Neurosci Lett 480(1):30–34CrossRefPubMed Cheng YQ et al (2010) Brain volume alteration and the correlations with the clinical characteristics in drug-naive first-episode MDD patients: a voxel-based morphometry study. Neurosci Lett 480(1):30–34CrossRefPubMed
15.
go back to reference Malykhin NV et al (2010) Structural changes in the hippocampus in major depressive disorder: contributions of disease and treatment. J Psychiatry Neurosci 35(5):337–343PubMedCentralCrossRefPubMed Malykhin NV et al (2010) Structural changes in the hippocampus in major depressive disorder: contributions of disease and treatment. J Psychiatry Neurosci 35(5):337–343PubMedCentralCrossRefPubMed
16.
go back to reference McKinnon MC et al (2009) A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J Psychiatry Neurosci 34(1):41–54PubMedCentralPubMed McKinnon MC et al (2009) A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J Psychiatry Neurosci 34(1):41–54PubMedCentralPubMed
17.
go back to reference Videbech P, Ravnkilde B (2004) Hippocampal volume and depression: a meta-analysis of MRI studies. Am J Psychiatry 161(11):1957–1966CrossRefPubMed Videbech P, Ravnkilde B (2004) Hippocampal volume and depression: a meta-analysis of MRI studies. Am J Psychiatry 161(11):1957–1966CrossRefPubMed
18.
go back to reference Arnone D et al (2013) State-dependent changes in hippocampal grey matter in depression. Mol Psychiatry 18(12):1265–1272CrossRefPubMed Arnone D et al (2013) State-dependent changes in hippocampal grey matter in depression. Mol Psychiatry 18(12):1265–1272CrossRefPubMed
19.
go back to reference Cotman CW, Berchtold NC (2002) Exercise: a behavioral intervention to enhance brain health and plasticity. Trends Neurosci 25(6):295–301CrossRefPubMed Cotman CW, Berchtold NC (2002) Exercise: a behavioral intervention to enhance brain health and plasticity. Trends Neurosci 25(6):295–301CrossRefPubMed
20.
go back to reference Lopez-Lopez C, LeRoith D, Torres-Aleman I (2004) Insulin-like growth factor I is required for vessel remodeling in the adult brain. Proc Natl Acad Sci USA 101(26):9833–9838CrossRefPubMedPubMedCentral Lopez-Lopez C, LeRoith D, Torres-Aleman I (2004) Insulin-like growth factor I is required for vessel remodeling in the adult brain. Proc Natl Acad Sci USA 101(26):9833–9838CrossRefPubMedPubMedCentral
22.
go back to reference Kieseppa T et al (2010) Major depressive disorder and white matter abnormalities: a diffusion tensor imaging study with tract-based spatial statistics. J Affect Disord 120(1–3):240–244CrossRefPubMed Kieseppa T et al (2010) Major depressive disorder and white matter abnormalities: a diffusion tensor imaging study with tract-based spatial statistics. J Affect Disord 120(1–3):240–244CrossRefPubMed
23.
go back to reference Zhu X et al (2011) Altered white matter integrity in first-episode, treatment-naive young adults with major depressive disorder: a tract-based spatial statistics study. Brain Res 1369:223–229CrossRefPubMed Zhu X et al (2011) Altered white matter integrity in first-episode, treatment-naive young adults with major depressive disorder: a tract-based spatial statistics study. Brain Res 1369:223–229CrossRefPubMed
24.
go back to reference de Diego-Adelino J et al (2014) Microstructural white-matter abnormalities associated with treatment resistance, severity and duration of illness in major depression. Psychol Med 44(6):1171–1182CrossRefPubMed de Diego-Adelino J et al (2014) Microstructural white-matter abnormalities associated with treatment resistance, severity and duration of illness in major depression. Psychol Med 44(6):1171–1182CrossRefPubMed
25.
go back to reference Huang H et al (2011) White matter changes in healthy adolescents at familial risk for unipolar depression: a diffusion tensor imaging study. Neuropsychopharmacology 36(3):684–691CrossRefPubMed Huang H et al (2011) White matter changes in healthy adolescents at familial risk for unipolar depression: a diffusion tensor imaging study. Neuropsychopharmacology 36(3):684–691CrossRefPubMed
26.
go back to reference Keedwell PA et al (2012) Cingulum white matter in young women at risk of depression: the effect of family history and anhedonia. Biol Psychiatry 72(4):296–302CrossRefPubMed Keedwell PA et al (2012) Cingulum white matter in young women at risk of depression: the effect of family history and anhedonia. Biol Psychiatry 72(4):296–302CrossRefPubMed
27.
go back to reference Marks BL et al (2007) Role of aerobic fitness and aging on cerebral white matter integrity. Ann N Y Acad Sci 1097:171–174CrossRefPubMed Marks BL et al (2007) Role of aerobic fitness and aging on cerebral white matter integrity. Ann N Y Acad Sci 1097:171–174CrossRefPubMed
28.
go back to reference Sexton CE et al (2016) A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain. Neuroimage 131:81–90CrossRefPubMed Sexton CE et al (2016) A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain. Neuroimage 131:81–90CrossRefPubMed
29.
go back to reference Schmithorst VJ, Holland SK, Dardzinski BJ (2008) Developmental differences in white matter architecture between boys and girls. Hum Brain Mapp 29(6):696–710CrossRefPubMed Schmithorst VJ, Holland SK, Dardzinski BJ (2008) Developmental differences in white matter architecture between boys and girls. Hum Brain Mapp 29(6):696–710CrossRefPubMed
30.
go back to reference Iacono WG et al (2018) The utility of twins in developmental cognitive neuroscience research: how twins strengthen the ABCD research design. Dev Cogn Neurosci 32:30–42CrossRefPubMed Iacono WG et al (2018) The utility of twins in developmental cognitive neuroscience research: how twins strengthen the ABCD research design. Dev Cogn Neurosci 32:30–42CrossRefPubMed
32.
go back to reference Barch DM et al (2018) Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: rationale and description. Dev Cogn Neurosci 32:55–66CrossRefPubMed Barch DM et al (2018) Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: rationale and description. Dev Cogn Neurosci 32:55–66CrossRefPubMed
33.
go back to reference Achenbach TM, Rescorla LA (2001) Manual for the ASEBA school-age forms and profiles. In: Vermont UO (ed) Research Center for Children, Youth and Families. Burlington, VT, University of Vermont Achenbach TM, Rescorla LA (2001) Manual for the ASEBA school-age forms and profiles. In: Vermont UO (ed) Research Center for Children, Youth and Families. Burlington, VT, University of Vermont
34.
go back to reference Hagler DJ et al. (2018) Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. bioRxiv Hagler DJ et al. (2018) Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. bioRxiv
35.
go back to reference Tisdall MD et al (2012) Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI. Magn Reson Med 68(2):389–399CrossRefPubMed Tisdall MD et al (2012) Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI. Magn Reson Med 68(2):389–399CrossRefPubMed
37.
go back to reference Moeller S et al (2010) Multiband multislice GE-EPI at 7 T, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn Reson Med 63(5):1144–1153PubMedCentralCrossRefPubMed Moeller S et al (2010) Multiband multislice GE-EPI at 7 T, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn Reson Med 63(5):1144–1153PubMedCentralCrossRefPubMed
38.
go back to reference Setsompop K et al (2012) Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn Reson Med 67(5):1210–1224CrossRefPubMed Setsompop K et al (2012) Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn Reson Med 67(5):1210–1224CrossRefPubMed
40.
go back to reference Hagler DJ et al (2009) Automated white-matter tractography using a probabilistic diffusion tensor atlas: application to temporal lobe epilepsy. Hum Brain Mapp 30(5):1535–1547CrossRefPubMed Hagler DJ et al (2009) Automated white-matter tractography using a probabilistic diffusion tensor atlas: application to temporal lobe epilepsy. Hum Brain Mapp 30(5):1535–1547CrossRefPubMed
41.
go back to reference Benjamini Y, Hochberg H (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc 57:289–300 Benjamini Y, Hochberg H (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc 57:289–300
42.
go back to reference Benjamini Y, Yekutieli D (2001) The control of the false discovery rate: a practical and powerful approach to multiple testing. Ann Stat 29(4):1165–1188CrossRef Benjamini Y, Yekutieli D (2001) The control of the false discovery rate: a practical and powerful approach to multiple testing. Ann Stat 29(4):1165–1188CrossRef
43.
go back to reference Smith JC et al (2016) Interactive effects of physical activity and APOE-epsilon4 on white matter tract diffusivity in healthy elders. Neuroimage 131:102–112CrossRefPubMed Smith JC et al (2016) Interactive effects of physical activity and APOE-epsilon4 on white matter tract diffusivity in healthy elders. Neuroimage 131:102–112CrossRefPubMed
44.
go back to reference Svatkova A et al (2015) Physical exercise keeps the brain connected: biking increases white matter integrity in patients with schizophrenia and healthy controls. Schizophr Bull 41(4):869–878PubMedCentralCrossRefPubMed Svatkova A et al (2015) Physical exercise keeps the brain connected: biking increases white matter integrity in patients with schizophrenia and healthy controls. Schizophr Bull 41(4):869–878PubMedCentralCrossRefPubMed
45.
go back to reference Rogers CE et al (2016) Regional white matter development in very preterm infants: perinatal predictors and early developmental outcomes. Pediatr Res 79(1–1):87–95CrossRefPubMed Rogers CE et al (2016) Regional white matter development in very preterm infants: perinatal predictors and early developmental outcomes. Pediatr Res 79(1–1):87–95CrossRefPubMed
46.
go back to reference Ben Bashat D et al (2007) Accelerated maturation of white matter in young children with autism: a high b value DWI study. Neuroimage 37(1):40–47CrossRefPubMed Ben Bashat D et al (2007) Accelerated maturation of white matter in young children with autism: a high b value DWI study. Neuroimage 37(1):40–47CrossRefPubMed
47.
48.
go back to reference Wolff JJ et al (2012) Differences in white matter fiber tract development present from 6 to 24 months in infants with autism. Am J Psychiatry 169(6):589–600PubMedCentralCrossRefPubMed Wolff JJ et al (2012) Differences in white matter fiber tract development present from 6 to 24 months in infants with autism. Am J Psychiatry 169(6):589–600PubMedCentralCrossRefPubMed
Metagegevens
Titel
White Matter Tract Integrity, Involvement in Sports, and Depressive Symptoms in Children
Auteurs
Lisa S. Gorham
Deanna M. Barch
Publicatiedatum
25-01-2020
Uitgeverij
Springer US
Gepubliceerd in
Child Psychiatry & Human Development / Uitgave 3/2020
Print ISSN: 0009-398X
Elektronisch ISSN: 1573-3327
DOI
https://doi.org/10.1007/s10578-020-00960-3

Andere artikelen Uitgave 3/2020

Child Psychiatry & Human Development 3/2020 Naar de uitgave