Relationship between Brain Age-Related Reduction in Gray Matter and Educational Attainment

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art_RZEZAK_Relationship_between_Brain_AgeRelated_Reduction_in_Gray_Matter_2015.PDF (448.55 KB)
Citações na Scopus
26
Tipo de produção
article
Data de publicação
2015
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
PUBLIC LIBRARY SCIENCE
Autores
Citação
PLOS ONE, v.10, n.10, article ID e0140945, 15p, 2015
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Inter-subject variability in age-related brain changes may relate to educational attainment, as suggested by cognitive reserve theories. This voxel-based morphometry study investigated the impact of very low educational level on the relationship between regional gray matter (rGM) volumes and age in healthy elders. Magnetic resonance imaging data were acquired in elders with low educational attainment (less than 4 years) (n = 122) and high educational level (n = 66), pulling together individuals examined using either of three MRI scanners/acquisition protocols. Voxelwise group comparisons showed no rGM differences (p<0.05, family-wise error corrected for multiple comparisons). When within-group voxel-wise patterns of linear correlation were compared between high and low education groups, there was one cluster of greater rGM loss with aging in low versus high education elders in the left anterior cingulate cortex (p<0.05, FWE-corrected), as well as a trend in the left dorsomedial prefrontal cortex (p<0.10). These results provide preliminary indication that education might exert subtle protective effects against age-related brain changes in healthy subjects. The anterior cingulate cortex, critical to inhibitory control processes, may be particularly sensitive to such effects, possibly given its involvement in cognitive stimulating activities at school or later throughout life.
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URI
https://observatorio.fm.usp.br/handle/OPI/12455
Referências
  1. Allegri RF, 2010, DEMENT NEUROPSYCHOL, V4, P28
  2. Gutchess AH, 2005, J COGNITIVE NEUROSCI, V17, P84, DOI 10.1162/0898929052880048
  3. MONSCH AU, 1992, ARCH NEUROL-CHICAGO, V49, P1253
  4. Busatto GF, 2003, NEUROBIOL AGING, V24, P221, DOI 10.1016/S0197-4580(02)00084-2
  5. Persson N, 2014, NEUROIMAGE, V103, P334, DOI 10.1016/j.neuroimage.2014.09.042
  6. Alves TCDF, 2011, J ALZHEIMERS DIS, V27, P575, DOI 10.3233/JAD-2011-110827
  7. Perneczky R, 2009, J ALZHEIMERS DIS, V17, P855, DOI 10.3233/JAD-2009-1117
  8. Harrison TM, 2012, J INT NEUROPSYCH SOC, V18, P1081, DOI 10.1017/S1355617712000847
  9. Squarzoni P, 2012, J ALZHEIMERS DIS, V31, P45, DOI 10.3233/JAD-2012-111124
  10. Fjell AM, 2009, J NEUROSCI, V29, P15223, DOI 10.1523/JNEUROSCI.3252-09.2009
  11. Jaeggi SM, 2008, P NATL ACAD SCI USA, V105, P6829, DOI 10.1073/pnas.0801268105
  12. Resnick SM, 2003, J NEUROSCI, V23, P3295
  13. Davis SW, 2008, CEREB CORTEX, V18, P1201, DOI 10.1093/cercor/bhm155
  14. Ashburner J, 2005, NEUROIMAGE, V26, P839, DOI 10.1016/j.neuroimage.2005.02.018
  15. Bush G, 2000, TRENDS COGN SCI, V4, P215, DOI 10.1016/S1364-6613(00)01483-2
  16. Zatorre RJ, 2012, NAT NEUROSCI, V15, P528, DOI 10.1038/nn.3045
  17. Grieve SM, 2005, HUM BRAIN MAPP, V25, P391, DOI 10.1002/hbm.20115
  18. Botvinick MM, 2007, COGN AFFECT BEHAV NE, V7, P356, DOI 10.3758/CABN.7.4.356
  19. Scazufca M, 2008, INT J EPIDEMIOL, V37, P879, DOI 10.1093/ije/dyn125
  20. Shum FWF, 2007, LEARN MEMORY, V14, P304, DOI 10.1101/lm.530607
  21. Copeland JRM, 2002, INT J GERIATR PSYCH, V17, P729, DOI 10.1002/gps.667
  22. Petersen SE, 2012, ANNU REV NEUROSCI, V35, P73, DOI 10.1146/annurev-neuro-062111-150525
  23. Takeuchi H, 2010, J NEUROSCI, V30, P3297, DOI 10.1523/JNEUROSCI.4611-09.2010
  24. Ferrari C, 2014, NEURODEGENER DIS, V13, P157, DOI 10.1159/000353690
  25. Groves AR, 2012, NEUROIMAGE, V63, P365, DOI 10.1016/j.neuroimage.2012.06.038
  26. Stern Y, 2005, CEREB CORTEX, V15, P394, DOI 10.1093/cercor/bhh142
  27. Ashburner J, 2007, NEUROIMAGE, V38, P95, DOI 10.1016/j.neuroimage.2007.07.007
  28. Scazufca M, 2008, INT PSYCHOGERIATR, V20, P394, DOI 10.1017/S1041610207005625
  29. Terribilli D, 2011, NEUROBIOL AGING, V32, P354, DOI 10.1016/j.neurobiolaging.2009.02.008
  30. Marstaller L, 2015, NEUROSCIENCE, V290, P369, DOI 10.1016/j.neuroscience.2015.01.049
  31. Park DC, 2009, ANNU REV PSYCHOL, V60, P173, DOI 10.1146/annurev.psych.59.103006.093656
  32. Matsuda H, 2012, AM J NEURORADIOL, V33, P1109, DOI 10.3174/ajnr.A2935
  33. Mechelli A, 2005, J NEUROSCI, V25, P8303, DOI 10.1523/JNEUROSCI.0357-05.2005
  34. Curiati PK, 2009, AM J NEURORADIOL, V30, P1850, DOI 10.3174/ajnr.A1727
  35. Hall KS, 2000, INT J GERIATR PSYCH, V15, P521, DOI 10.1002/1099-1166(200006)15:6<521::AID-GPS182>3.0.CO;2-F
  36. Galluzzi S, 2008, NEUROL SCI, V29, pS296, DOI 10.1007/s10072-008-1002-6
  37. Seo SW, 2011, NEUROBIOL AGING, V32, P200, DOI 10.1016/j.neurobiolaging.2009.02.004
  38. Good CD, 2001, NEUROIMAGE, V14, P21, DOI 10.1006/nimg.2001.0786
  39. Scazufca M, 2008, INT J EPIDEMIOL, V37, P721, DOI 10.1093/ije/dym154
  40. Jack CR, 2004, NEUROLOGY, V62, P591
  41. Streitburger DP, 2014, NEUROIMAGE, V87, P170, DOI 10.1016/j.neuroimage.2013.10.051
  42. FULD PA, 1990, J CLIN EXP NEUROPSYC, V12, P520, DOI 10.1080/01688639008400998
  43. Cutler DM, 2010, J HEALTH ECON, V29, P1, DOI 10.1016/j.jhealeco.2009.10.003
  44. Nitrini R, 2012, LANCET, V380, P1470, DOI 10.1016/S0140-6736(12)61838-8
  45. WELSH KA, 1994, NEUROLOGY, V44, P609
  46. Liu YW, 2012, NEURORADIOLOGY, V54, P929, DOI 10.1007/s00234-012-1005-0
  47. Salmond CH, 2002, NEUROIMAGE, V17, P1027, DOI 10.1006/nimg.2002.1153
  48. Botvinick MM, 2001, PSYCHOL REV, V108, P624, DOI 10.1037//0033-295X.108.3.624
  49. Bottino CMC, 2008, DEMENT GERIATR COGN, V26, P291, DOI 10.1159/000161053
  50. Roe CM, 2008, ARCH NEUROL-CHICAGO, V65, P1467, DOI 10.1001/archneur.65.11.1467
  51. [Anonymous], 2002, ALZ DIS ASSOC DIS
  52. Brucki SMD, 2003, ARQ NEURO-PSIQUIAT, V61, P777, DOI 10.1590/S0004-282X2003000500014
  53. Foubert-Samier A, 2012, NEUROBIOL AGING, V33, pe15, DOI [10.1016/j.neurobiolaging.2010.09.023, DOI 10.1016/J.NEUR0BI0LAGING.2010.09.023]
  54. Kim J, 2015, NEUROSCI RES, V94, P50, DOI 10.1016/j.neures.2014.12.009
  55. Lazarczyk MJ, 2012, BMC MED, V10, DOI 10.1186/1741-7015-10-127
  56. Miller MI, 2013, NEUROIMAGE-CLIN, V3, P352, DOI 10.1016/j.nicl.2013.09.001
  57. Prince M, 2007, BMC PUBLIC HEALTH, V7, DOI 10.1186/1471-2458-7-165
  58. Ribeiz SRI, 2013, CROSS SECTIONAL PROS, V8, P1, DOI [10.1371/journal.pone.0080049, DOI 10.1371/J0URNAL.P0NE.0080049]
  59. ROTH M, 1986, BRIT J PSYCHIAT, V149, P698, DOI 10.1192/bjp.149.6.698
  60. Talairach J, 1988, COPLANAR STEREOTAXIC
  61. Teipel SJ, 2007, NEUROIMAGE, V34, P985, DOI 10.1016/j.neuroimage.2006.07.047
  62. Younes L, 2014, NEUROIMAGE-CLIN, V5, P178, DOI 10.1016/j.nicl.2014.04.009

Coleções
Artigos e Materiais de Revistas Científicas - FM/MPS
Artigos e Materiais de Revistas Científicas - FM/MCM
Artigos e Materiais de Revistas Científicas - FM/MPR
Artigos e Materiais de Revistas Científicas - HC/IPq
Artigos e Materiais de Revistas Científicas - LIM/20
Artigos e Materiais de Revistas Científicas - LIM/21
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