Imaging patterns of brain development and their relationship to cognition

Cerebral Cortex

Volumn 25, Issue 6, 2015, Pages 1676-1684

  Erus, Guray ^a   Battapady, Harsha ^a   Satterthwaite, Theodore D ^a,b   Hakonarson, Hakon ^c   Gur, Raquel E ^b   Davatzikos, Christos ^a   Gur, Ruben C ^b  

^a Center for Biomedical Image Computing and Analytics   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

Author keywords

SVR

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; ATTENTION; BRAIN DEVELOPMENT; CHILD; COGNITION; DIFFUSION TENSOR IMAGING; EMOTION; FEMALE; GROUPS BY AGE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LANGUAGE ABILITY; MACHINE LEARNING; MALE; NEUROIMAGING; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SENSORIMOTOR FUNCTION; SPATIAL BEHAVIOR; SPATIAL MEMORY; SUPPORT VECTOR MACHINE; VERBAL MEMORY; WORKING MEMORY; AGING; ANATOMY AND HISTOLOGY; BRAIN; BRAIN MAPPING; COHORT ANALYSIS; GROWTH, DEVELOPMENT AND AGING; PHYSIOLOGY; REGRESSION ANALYSIS; YOUNG ADULT;

ADOLESCENT; AGING; BRAIN; BRAIN MAPPING; CHILD; COGNITION; COHORT STUDIES; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEUROPSYCHOLOGICAL TESTS; REGRESSION ANALYSIS; YOUNG ADULT;

EID: 84930326883     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bht425     Document Type: Article

References (50)

1. Asato MR, Terwilliger R, Woo J, Luna B. 2010. White matter development in adolescence: a DTI study. Cereb Cortex. 20:2122-2131.
2. Ashtari M, Cervellione KL, Hasan KM, Wu J, McIlree C, Kester H, Ardekani BA, Roofeh D, Szeszko PR, Kumra S. 2007. White matter development during late adolescence in healthy males: a crosssectional diffusion tensor imaging study. NeuroImage. 35:501-510.
3. Bachman P, Niendam TA, Jalbrzikowkski M, Park CY, Daley M, Cannon TD, Bearden CE. 2012. Processing speed and neurodevelopment in adolescent-onset psychosis: cognitive slowing predicts social function. J Abnorm Child Psychol. 40:645-654.
4. Ball WS, Byars AW, Schapiro M, Bommer W, Carr A, German A, Dunn S, Rivkin MJ, Waber D, Mulkern R et al. 2012. Total and regional brain volumes in a population-based normative sample from 4 to 18 years: the NIH MRI study of normal brain development. Cereb Cortex. 22:1-12.
5. Barnea-Goraly N, Menon V, Eckert M, Tamm L, Bammer R, Karchemskiy A, Dant CC, Reiss AL. 2005. White matter development during childhood and adolescence: a cross-sectional diffusion tensor imaging study. Cereb Cortex. 15:1848-1854.
6. Beresford TP, Arciniegas DB, Alfers J, Clapp L, Martin B, Du Y, Liu D, Shen D, Davatzikos C. 2006. Hippocampus volume loss due to chronic heavy drinking. Alcohol Clin Exp Res. 30:1866-1870.
7. Blakemore SJ, Choudhury S. 2006. Development of the adolescent brain: implications for executive function and social cognition. J Child Psychol Psychiatry. 47:296-312.
8. Brown TT, Kuperman JM, Chung Y, Erhart M, McCabe C, Hagler DJ, Venkatraman VK, Akshoomoff N, Amaral DG, Bloss CS et al. 2012. Neuroanatomical assessment of biological maturity. Curr Biol. 22:1693-1698.
9. Bunge Silvia A, Whitaker Kirstie J. 2012. Brain imaging: your brain scan doesn't lie about your age. Curr Biol. 22:R800-R801.
10. Chang C-C, Lin C-J. 2011. LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst Technol. 2:1-27.
11. Coyle TR, Pillow DR, Snyder AC, Kochunov P. 2011. Processing speed mediates the development of general intelligence (g) in adolescence. Psychol Sci. 22:1265-1269.
12. Davatzikos C, Genc A, Xu D, Resnick SM. 2001. Voxel-based morphometry using the RAVENS maps: methods and validation using simulated longitudinal atrophy. NeuroImage. 14:1361-1369.
13. De Bellis MD, Keshavan MS, Beers SR, Hall J, Frustaci K, Masalehdan A, Noll J, Boring AM. 2001. Sex differences in brain maturation during childhood and adolescence. Cereb Cortex. 11:552-557.
14. Dosenbach NUF, Nardos B, Cohen AL, Fair DA, Power JD, Church JA, Nelson SM,Wig GS, Vogel AC, Lessov-Schlaggar CN et al. 2010. Prediction of individual brain maturity using fMRI. Science. 329:1358-1361.
15. Driscoll I, Davatzikos C, An Y, Wu X, Shen D, Kraut M, Resnick SM. 2009. Longitudinal pattern of regional brain volume change differentiates normal aging from MCI. Neurology. 72:1906-1913.
16. Franke K, Luders E, May A, Wilke M, Gaser C. 2012. Brain maturation: predicting individual BrainAGE in children and adolescents using structural MRI. NeuroImage. 63:1305-1312.
17. Franke K, Ziegler G, Kloppel S, Gaser C. 2010. Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters. Neuro-Image. 50:883-892.
18. Giedd JN, Blumenthal J, Jeffries NO, Castellanos FX, Liu H, Zijdenbos A, Paus T, Evans AC, Rapoport JL. 1999. Brain development during childhood and adolescence: a longitudinal MRI study. Nat Neurosci. 2:861-863.
19. Giedd JN, Rapoport JL. 2010. Structural MRI of pediatric brain development: what have we learned and where are we going? Neuron. 67:728-734.
20. Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D, Vaituzis AC, Nugent III TF, Herman DH, Clasen LS, Toga AW et al. 2004. Dynamic mapping of human cortical development during childhood through early adulthood. Proc Natl Acad Sci. 101:8174-8179.
21. Goldszal AF, Davatzikos C, Pham DL, Yan MX, Bryan RN, Resnick SM. 1998. An image-processing system for qualitative and quantitative volumetric analysis of brain images. J Comput Assist Tomogr. 22:827-837.
22. Gonen M, Alpaydin E. 2011. Multiple kernel learning algorithms. J Mach Learn Res. 12:2211-2268.
23. Gur R, Davatzikos C, Shen D, Wu X, Fan Y, Hughett P, Turetsky B, Gur R. 2006. Whole-brain deformation based morphometry MRI study of schizophrenia. Schizophr Bull. 31:408-408.
24. Gur RC, Richard J, Calkins ME, Chiavacci R, Hansen JA, Bilker WB, Loughead J, Connolly JJ, Qiu H, Mentch FD et al. 2012. Age group and sex differences in performance on a computerized neurocognitive battery in children age 8-21. Neuropsychology. 26:251-265.
25. Gur RC, Richard J, Hughett P, Calkins ME, Macy L, Bilker WB, Brensinger C, Gur RE. 2010. A cognitive neuroscience-based computerized battery for efficient measurement of individual differences: standardization and initial construct validation. J Neurosci Methods. 187:254-262.
26. Insel TR. 2009. Translating scientific opportunity into public health impact: a strategic plan for research on mental illness. Arch Gen Psychiatry. 66:128-133.
27. Jung RE, Haier RJ. 2007. The parieto-frontal integration theory (p-fit) of intelligence: converging neuroimaging evidence. Behav Brain Sci. 30:135-154.
28. Kail RV. 2007. Longitudinal evidence that increases in processing speed and working memory enhance children's reasoning. Psychol Sci. 18:312-313.
29. LaConte S, Strother S, Cherkassky V, Anderson J, Hu X. 2005. Support vector machines for temporal classification of block design fMRI data. NeuroImage. 26:317-329.
30. Lebel C, Beaulieu C. 2011. Longitudinal development of human brain wiring continues from childhood into adulthood. J Neurosci. 31:10937-10947.
31. Le Bihan D, Mangin JF, Poupon C, Clark CA, Pappata S, Molko N, Chabriat H. 2001. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging. 13:534-546.
32. Lenroot RK, Giedd JN. 2006. Brain development in children and adolescents: insights from anatomical magnetic resonance imaging. Neurosci Biobehav Rev. 30:718-729.
33. Lenroot RK, Greenstein D, Gogtay N, Wallace GL, Clasen LS, Blumenthal JD, Wells EM, Lerch JP, Zijdenbos AP, Evans AC et al. 2007. Sexual dimorphism of brain developmental trajectories during childhood and adolescence. NeuroImage. 36:1965-1973.
34. Luna B, Garver KE, Urban TA, Lazar NA, Sweeney JA. 2004. Maturation of cognitive processes from late childhood to adulthood. Child Dev. 75:1357-1372.
35. Luna B, Sweeney JA. 2001. Studies of brain and cognitive maturation through childhood and adolescence: a strategy for testing neurodevelopmental hypotheses. Schizophr Bull. 27:443-455.
36. Mukherjee P, Miller JH, Shimony JS, Conturo TE, Lee BCP, Almli CR, McKinstry RC. 2001. Normal brain maturation during childhood: developmental trends characterized with diffusion-tensor MR imaging1. Radiology. 221:349-358.
37. Nellhaus G. 1968. Head circumference from birth to eighteen years. Practical composite international and interracial graphs. Pediatrics. 41:106-114.
38. Ou Y, Sotiras A, Paragios N, Davatzikos C. 2011. DRAMMS: deformable registration via attribute matching and mutual-saliency weighting. Med Image Anal. 15:622-639.
39. Paus T. 2005. Mapping brain maturation and cognitive development during adolescence. Trends Cogn Sci. 9:60-68.
40. Paus T, Keshavan M, Giedd JN. 2008. Why do many psychiatric disorders emerge during adolescence? Nat Rev Neurosci. 9:947-957.
41. Resnick SM, Goldszal A, Davatzikos C, Golski S, Kraut MA, Metter EJ, Bryan RN, Zonderman AB. 2000. One-year age changes in MRI brain volumes in older adults. Cereb Cortex. 10:464-472.
42. Satterthwaite TD, Elliott MA, Ruparel K, Loughead J, Prabhakaran K, Calkins ME, Hopson R, Jackson C, Keefe J, Riley M et al. 2013. Neuroimaging of the Philadelphia Neurodevelopmental Cohort. Neuro-Image. In Press.
43. Shaw P, Greenstein D, Lerch J, Clasen L, Lenroot R, Gogtay N, Evans A, Rapoport J, Giedd J. 2006. Intellectual ability and cortical development in children and adolescents. Nature. 440:676-679.
44. Silk TJ, Wood AG. 2011. Lessons about neurodevelopment from anatomical magnetic resonance imaging. J Dev Behav Pediatr. 32:158-168.
45. Smola AJ, Scholkopf B. 2004. A tutorial on support vector regression. Stat Comput. 14:199-222.
46. Sowell ER, Thompson PM, Leonard CM, Welcome SE, Kan E, Toga AW. 2004. Longitudinal mapping of cortical thickness and brain growth in normal children. J Neurosci. 24:8223-8231.
47. Storey JD. 2002. A direct approach to false discovery rates. J R Stat Soc Ser B. 64:479-498.
48. Tamnes CK, Ostby Y, Fjell AM, Westlye LT, Due-Tonnessen P, Walhovd KB. 2010a. Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure. Cereb Cortex. 20:534-548.
49. Tamnes CK, Ostby Y, Walhovd KB, Westlye LT, Due-Tonnessen P, Fjell AM. 2010b. Neuroanatomical correlates of executive functions in children and adolescents: a magnetic resonance imaging (MRI) study of cortical thickness. Neuropsychologia. 48:2496-2508.
50. Toga AW, Thompson PM, Sowell ER. 2006. Mapping brain maturation. Trends Neurosci. 29:148-159.