White matter microstructure is associated with cognitive control in children

Biological Psychology

Volumn 94, Issue 1, 2013, Pages 109-115

  Chaddock Heyman, Laura ^a   Erickson, Kirk I ^b   Voss, Michelle W ^c   Powers, John P ^d   Knecht, Anya M ^a   Pontifex, Matthew B ^a   Drollette, Eric S ^e   Moore, R Davis ^e   Raine, Lauren B ^e   Scudder, Mark R ^e   Hillman, Charles H ^e   Kramer, Arthur F ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c University of Iowa   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

^e MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Child; Cognition; Diffusion tensor imaging; Flanker; MRI

Indexed keywords

ARTICLE; BRAIN FUNCTION; CEREBRAL PEDUNCLE; CHILD; CHILDHOOD; CORONA RADIATA (BRAIN); DIFFUSION; DIFFUSION TENSOR IMAGING; EXECUTIVE FUNCTION; FEMALE; FRACTIONAL ANISOTROPY; HUMAN; IN VIVO STUDY; MALE; MENTAL TASK; MORPHOLOGY; NERVE TRACT; NEUROIMAGING; POSTERIOR THALAMIC RADIATION; PRIORITY JOURNAL; SCHOOL CHILD; SUPERIOR LONGITUDINAL BUNDLE; WHITE MATTER;

CHILD; COGNITION; DIFFUSION TENSOR IMAGING; FLANKER; MRI;

ANISOTROPY; BRAIN; CHILD; COGNITION; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MULTIVARIATE ANALYSIS; NERVE FIBERS, MYELINATED; NERVE NET; NEUROPSYCHOLOGICAL TESTS; REACTION TIME;

EID: 84880287848     PISSN: 03010511     EISSN: 18736246     Source Type: Journal    
DOI: 10.1016/j.biopsycho.2013.05.008     Document Type: Article

References (55)

1. Andersen S.L. Trajectories of brain development: Point of vulnerability or window of opportunity?. Neuroscience and Biobehavioral Reviews 2003, 27:3-18.
2. Andersson J.R., Jenkinson M., Smith S. TR07JA1: Non-linear optimisation 2007, Retrieved from www.fmrib.ox.ac.uk/analysis/techrep.
3. Andersson J.R., Jenkinson M., Smith S. TR07JA2: Non-linear registration, aka spatial normalisation 2007, Retrieved from www.fmrib.ox.ac.uk/analysis/techrep.
4. Banich M.T., Milham M.P., Atchley R.A., Cohen N.J., Webb A., Wszalek T., et al. fMRI studies of Stroop tasks reveal unique roles of anterior and posterior brain systems in attentional selection. Journal of Cognitive Neuroscience 2000, 12:988-1000.
5. Barnea-Goraly N., Menon V., Eckert M., Tamm L., Bammer R., Karchemskiy A., et al. White matter development during childhood and adolescence: A cross-sectional diffusion tensor imaging study. Cerebral Cortex 2005, 15:1848-1854.
6. Basser P.J. Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR in Biomedicine 1995, 8:333-344.
7. Beaulieu C. The basis of anisotropic water diffusion in the nervous system: A technical review. NMR in Biomedicine 2002, 15:435-455.
8. Bendlin B.B., Fitzgerald M.E., Ries M.L., Xul G., Kastman E.K., Thiel B.W., et al. White matter in aging and cognition: A cross-sectional study of microstructure in adults aged eighteen to eighty-three. Developmental Neuropsychology 2010, 35:257-277.
9. Bonekamp D., Nagae L.M., Degaonkar M., Matson M., Abdalla W.M., Barker P.B., et al. Diffusion tensor imaging in children and adolescents: Reproducibility, hemispheric, and age-related differences. NeuroImage 2007, 34:733-742.
10. Budde M.D., Kim J.H., Liang H.F., Schmidt R.E., Russell J.H., Cross A.H., et al. Toward accurate diagnosis of white matter pathology using diffusion tensor imaging. Magnetic Resonance in Medicine 2007, 57:688-695.
11. Bull R., Scerif G. Executive functioning as a predictor of children's mathematics ability: Inhibition, switching, and working memory. Developmental Neuropsychology 2001, 19:273-293.
12. Bunge S.A., Crone E.A. Neural correlates of the development of cognitive control. Neuroimaging in developmental clinical neuroscience 2009, 22-37. Cambridge University Press, Cambridge, UK. J. Rumsey, M. Ernst (Eds.).
13. Bunge S.A., Dudukovic N.M., Thomason M.E., Vaidya C.J., Gabrieli J.D.E. Immature frontal lobe contributions to cognitive control in children: Evidence from fMRI. Neuron 2002, 33:301-311.
14. Burzynska A.Z., Nagel I.E., Preuschhof C., Li S.C., Lindenberg U., Backman L., et al. Microstructure of frontoparietal connections predicts cortical responsivity and working memory performance. Cerebral Cortex 2011, 21:2261-2271.
15. Davidson M.C., Amso D., Anderson L.C., Diamond A. Development of cognitive control and executive functions from 4 to 13 years: Evidence from manipulations of memory, inhibition, and task switching. Neuropsychologia 2006, 44:2037-2078.
16. DeStefano D., LeFevre J.A. The role of working memory in mental arithmetic. European Journal of Cognitive Psychology 2004, 16:353-386.
17. DuPaul G.J., Power T.J., Anastopoulos A., Reid R. ADHD rating scale - IV: Checklists, norms, and clinical interpretation 1998, Guilford Press, New York, NY.
18. Hua K., Zhang J., Wakana S., Jiang H., Li X., Reich D.S., et al. Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification. NeuroImage 2008, 39:336-347.
19. Johansen-Berg H., Behrens T.E. Diffusion MRI: From quantitative measurement to in vivo neuroanatomy 2009, Elsevier, San Diego, CA.
20. Jones D.K. Diffusion MRI: Theory, methods, and applications 2011, Oxford University Press, New York.
21. Kaufman A.S., Kaufman N.L. Kaufman Brief Intelligence Test 1990, AGS, Circle Pines, MN.
22. Keller T.A., Rajesh K., Just M.A. A developmental study of the structural integrity of white matter in autism. NeuroReport 2007, 18:23-27.
23. Lebel C., Beaulieu C. Longitudinal development of human brain wiring continues from childhood into adulthood. Journal of Neuroscience 2011, 31:10937-10947.
24. Liston C., Watts R., Tottenham N., Davidson M.C., Niogi S., Ulug A.M., et al. Fronto-striatal microstructure modulates efficient recruitment of cognitive control. Cerebral Cortex 2006, 16:553-560.
25. Madden D.J., Bennett I.J., Burzynska A., Potter G.G., Chen N., Song A.W. Diffusion tensor imaging of cerebral white matter integrity in cognitive aging. Biochimica et Biophysica Acta 2012, 1822:386-400.
26. Madsen K.S., Baaré W.F., Vestergaard M., Skimminge A., Ejersbo L.R., Ramsøy T.Z., et al. Response inhibition is associated with white matter microstructure in children. Neuropsychologia 2010, 48:854-862.
27. Mori S. Introduction to diffusion tensor imaging 2007, Elsevier, Amsterdam.
28. Mori S., Wakana S., Van Zijl P.C.M. MRI atlas of human white matter 2005, Elsevier, Amsterdam.
29. Nagy Z., Westerberg H., Klingberg T. Maturation of white matter is associated with the development of cognitive functions during childhood. Journal of Cognitive Neuroscience 2004, 16:1227-1233.
30. Nair G., Tanahashi Y., Low H.P., Billings-Gagliardi S., Schwartz W.J., Duong T.Q. Myelination and long diffusion times alter diffusion-tensor-imaging contrast in myelin-deficient shiverer mice. NeuroImage 2005, 28:165-174.
31. Niogi S., Mukherjee P., Ghajar J., McCandliss B.D. Individual differences in distinct components of attention are linked to anatomical variations in distinct white matter tracts. Frontiers in Neuroanatomy 2010, 4:1-12.
32. Oldfield R.C. The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia 1971, 9:97-113.
33. Olesen P., Nagy Z., Westerberg H., Klingberg T. Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a fronto-parietal network. Cognitive Brain Research 2003, 18:48-57.
34. Paus T. Mapping brain maturation and cognitive development during adolescence. Trends in Cognitive Sciences 2005, 9:60-68.
35. Paus T. Growth of white matter in the adolescent brain: Myelin or axon?. Brain and Cognition 2010, 72:26-35.
36. Petrides M., Pandya D.N. Projections to the frontal cortex from the posterior parietal region in the rhesus monkey. Journal of Comparative Neurology 1984, 228:105-116.
37. Pierpaoli C., Basser P.J. Toward a quantitative assessment of diffusion anisotropy. Magnetic Resonance in Medicine 1996, 36:893-906.
38. Pierpaoli C., Jezzard P., Basser P.J., Barnett A., Di Chiro G. Diffusion tensor MR imaging of the human brain. Radiology 1996, 201:637-648.
39. Rykhlevskaia E., Gratton G., Fabiani M. Combining structural and functional neuroimaging data for studying brain connectivity: A review. Psychophysiology 2008, 45:173-187.
40. Schmahmann J.D., Pandya D.N. Fiber pathways of the brain 2006, Oxford University Press, New York.
41. Schmithorst V.J., Wilke M., Dardzinski B.J., Holland S.K. Correlation of white matter diffusivity and anisotropy with age during childhood and adolescence: A cross-sectional diffusion-tensor MR imaging study. Radiology 2002, 222:212-218.
42. Schmithorst V.J., Yuan W. White matter development during adolescence as shown by diffusion MRI. Brain and Cognition 2010, 72:16-25.
43. Sen P.N., Basser P.J. A model for diffusion in white matter in the brain. Biophysical Journal 2005, 89:2927-2938.
44. Shaw P., Greenstein D., Lerch J., Clasen L., Lenroot R., Gogtay N., et al. Intellectual ability and cortical development in children and adolescents. Nature 2006, 440:676-679.
45. Smith S.M. Fast robust automated brain extraction. Human Brain Mapping 2002, 17:143-155.
46. Smith S.M., Jenkinson M., Johansen-Berg H., Rueckert D., Nichols T.E., Mackay C., et al. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage 2006, 31:1487-1505.
47. Song S.K., Sun S.W., Ju W.K., Lin S.J., Cross A.H., Neufeld A.H. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. NeuroImage 2003, 20:1714-1722.
48. Song S.K., Sun S.W., Ramsbottom M.J., Chang C., Russell J., Cross A.H. Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. NeuroImage 2002, 17:1429-1436.
49. Song S.K., Yoshino J., Le T.Q., Lin S.J., Sun S.W., Cross A.H., et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain. NeuroImage 2005, 26:132-140.
50. St. Clair-Thompson H.L., Gathercole S.E. Executive functions and achievements in school: Shifting, updating, inhibition, and working memory. The Quarterly Journal of Experimental Psychology 2006, 59:745-759.
51. Sun S.W., Liang H.F., Cross A.H., Song S.K. Evolving Wallerian degeneration after transient retinal ischemia in mice characterized by diffusion tensor imaging. NeuroImage 2008, 40:1-10.
52. Sun S.W., Liang H.F., Le T.Q., Armstrong R.C., Cross A.H., Song S.K. Differential sensitivity of in vivo and ex vivo diffusion tensor imaging to evolving optic nerve injury in mice with retinal ischemia. NeuroImage 2006, 32:1195-1204.
53. Tamnes C.K., Fjell A.M., Westlye L.T., Ostby Y., Walhovd K.B. Becoming consistent: Developmental reductions in intraindividual variability in reaction time are related to white matter integrity. Journal of Neuroscience 2012, 32. pp 972-892.
54. Taylor S.J.C., Whincup P.H., Hindmarsh P.C., Lampe F., Odoki K., Cook D.G. Performance of a new pubertal self-assessment questionnaire: A preliminary study. Paediatric and Perinatal Epidemiology 2001, 15:88-94.
55. Wakana S., Caprihan A., Panzenboeck M.M., Fallon J.H., Perry M., Gollub R.L., et al. Reproducibility of quantitative tractography methods applied to cerebral white matter. NeuroImage 2007, 36:630-644.