White matter and memory in healthy adults: Coupled changes over two years

NeuroImage

Volumn 131, Issue , 2016, Pages 193-204

  Bender, Andrew R ^a   Prindle, John J ^a   Brandmaier, Andreas M ^a,b   Raz, Naftali ^c  

^a MAX PLANCK INSTITUTE FOR HUMAN DEVELOPMENT   (Germany)

^b MAX PLANCK UCL CENTRE FOR COMPUTATIONAL PSYCHIATRY AND AGEING RESEARCH   (United Kingdom)

^c WAYNE STATE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Aging; DTI; Episodic memory; Longitudinal; Practice effect

Indexed keywords

ADULT; AGE DISTRIBUTION; ARTICLE; BRAIN FUNCTION; BRAIN RADIOGRAPHY; CARDIOMETABOLIC RISK; COGNITION ASSESSMENT; DIFFUSION TENSOR IMAGING; EPISODIC MEMORY; EXECUTIVE FUNCTION; FEMALE; FRACTIONAL ANISOTROPY; HUMAN; HUMAN EXPERIMENT; MALE; MEMORY; NERVOUS SYSTEM PARAMETERS; NEUROBIOLOGY; NORMAL HUMAN; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; SEX DIFFERENCE; VOXEL BASED MORPHOMETRY; WHITE MATTER; WORKING MEMORY; ADOLESCENT; AGED; AGING; ANATOMY AND HISTOLOGY; COGNITION; CONTROLLED STUDY; LONGITUDINAL STUDY; MIDDLE AGED; NERVE CELL PLASTICITY; PATHOLOGY; PHYSIOLOGY; RANDOMIZED CONTROLLED TRIAL; REFERENCE VALUE; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGING; COGNITION; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MEMORY; MIDDLE AGED; NEURONAL PLASTICITY; REFERENCE VALUES; WHITE MATTER; YOUNG ADULT;

EID: 84954285648     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.10.085     Document Type: Article

References (141)

1. Aggleton J.P., Brown M.W. Interleaving brain systems for episodic and recognition memory. Trends Cogn. Sci. 2006, 10(10):455-463. 10.1016/j.tics.2006.08.003.
2. Assaf Y., Basser P.J. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain. NeuroImage 2005, 27(1):48-58. 10.1016/j.neuroimage.2005.03.042.
3. Assaf Y., Blumenfeld-Katzir T., Yovel Y., Basser P.J. Axcaliber: a method for measuring axon diameter distribution from diffusion MRI. Magn. Reson. Med. 2008, 59(6):1347-1354. 10.1002/mrm.21577.
4. Axer H., Keyserlingk D.G. Mapping of fiber orientation in human internal capsule by means of polarized light and confocal scanning laser microscopy. J. Neurosci. Methods 2000, 94(2):165-175.
5. Bach M., Laun F.B., Leemans A., Tax C.M., Biessels G.J., Stieltjes B., Maier-Hein K.H. Methodological considerations on tract-based spatial statistics (TBSS). NeuroImage 2014, 100:358-369. 10.1016/j.neuroimage.2014.06.021.
6. Bartzokis G., Sultzer D., Lu P.H., Nuechterlein K.H., Mintz J., Cummings J.L. Heterogeneous age-related breakdown of white matter structural integrity: implications for cortical "disconnection" in aging and Alzheimer's disease. Neurobiol. Aging 2004, 25(7):843-851. 10.1016/j.neurobiolaging.2003.09.005.
7. Beaulieu C. The biological basis of diffusion anisotropy. Diffusion MRI: From Quantitative Measurement to In Vivo Neuroanatomy 2012, 106-126. Academic Press. H. Johansen-Berg, T.E. Behrens (Eds.).
8. Bender A.R., Raz N. Age-related differences in memory and executive functions in healthy APOE varepsilon4 carriers: the contribution of individual differences in prefrontal volumes and systolic blood pressure. Neuropsychologia 2012, 50(5):704-714. 10.1016/j.neuropsychologia.2011.12.025.
9. Bender A.R., Raz N. Normal-appearing cerebral white matter in healthy adults: mean change over two years and individual differences in change. Neurobiol. Aging 2015, 36(5):1834-1848. 10.1016/j.neurobiolaging.2015.02.001.
10. Bender A.R., Naveh-Benjamin M., Raz N. Associative deficit in recognition memory in a lifespan sample of healthy adults. Psychol. Aging 2010, 25(4):940-948. 10.1037/a0020595.
11. Bender A.R., Daugherty A.M., Raz N. Vascular risk moderates associations between hippocampal subfield volumes and memory. J. Cogn. Neurosci. 2013, 25(11):1851-1862. 10.1162/jocn_a_00435.
12. Bennett I.J., Madden D.J. Disconnected aging: cerebral white matter integrity and age-related differences in cognition. Neuroscience 2014, 276:187-205. 10.1016/j.neuroscience.2013.11.026.
13. Billiet T., Vandenbulcke M., Madler B., Peeters R., Dhollander T., Zhang H., Emsell L. Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI. Neurobiol. Aging 2015, 36(6):2107-2121. 10.1016/j.neurobiolaging.2015.02.029.
14. Brehmer Y., Kalpouzos G., Wenger E., Lövdén M. Plasticity of brain and cognition in older adults. Psychol. Res. 2014, 78(6):790-802. 10.1007/s00426-014-0587-z.
15. Budde M.D., Annese J. Quantification of anisotropy and fiber orientation in human brain histological sections. Front. Integr. Neurosci. 2013, 7.
16. Catheline G., Periot O., Amirault M., Braun M., Dartigues J.F., Auriacombe S., Allard M. Distinctive alterations of the cingulum bundle during aging and Alzheimer's disease. Neurobiol. Aging 2010, 31(9):1582-1592. 10.1016/j.neurobiolaging.2008.08.012.
17. Cattell R.B., Cattell A. Measuring Intelligence With the Culture Fair Tests 1973, Institute for Personality and Ability Testing.
18. Charlton R.A., Schiavone F., Barrick T.R., Morris R.G., Markus H.S. Diffusion tensor imaging detects age related white matter change over a 2 year follow-up which is associated with working memory decline. J. Neurol. Neurosurg. Psychiatry 2010, 81(1):13-19. 10.1136/jnnp.2008.167288.
19. Charlton R.A., Barrick T.R., Markus H.S., Morris R.G. Verbal working and long-term episodic memory associations with white matter microstructure in normal aging investigated using tract-based spatial statistics. Psychol. Aging 2013, 28:768-777. 10.1037/a0032668.
20. Cherry K.E., Park D.C. Individual difference and contextual variables influence spatial memory in younger and older adults. Psychol. Aging 1993, 8(4):517-526.
21. De Santis S., Drakesmith M., Bells S., Assaf Y., Jones D.K. Why diffusion tensor MRI does well only some of the time: variance and covariance of white matter tissue microstructure attributes in the living human brain. NeuroImage 2014, 89:35-44. 10.1016/j.neuroimage.2013.12.003.
22. Dobbs A.R., Rule B.G. Adult age differences in working memory. Psychol. Aging 1989, 4(4):500-503.
23. Douaud G., Jbabdi S., Behrens T.E., Menke R.A., Gass A., Monsch A.U., Smith S. DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease. NeuroImage 2011, 55(3):880-890. 10.1016/j.neuroimage.2010.12.008.
24. Ekstrom R.B., French J.W., Harmon H.H., Derman D. Manual for Kit of Factor-referenced Cognitive Tests 1976.
25. Engvig A., Fjell A.M., Westlye L.T., Moberget T., Sundseth O., Larsen V.A., Walhovd K.B. Memory training impacts short-term changes in aging white matter: a longitudinal diffusion tensor imaging study. Hum. Brain Mapp. 2012, 33(10):2390-2406. 10.1002/hbm.21370.
26. Ennis D.B., Kindlmann G. Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images. Magn. Reson. Med. 2006, 55(1):136-146. 10.1002/mrm.20741.
27. Erten-Lyons D., Woltjer R., Kaye J., Mattek N., Dodge H.H., Green S., Silbert L.C. Neuropathologic basis of white matter hyperintensity accumulation with advanced age. Neurology 2013, 81(11):977-983.
28. Fazekas F., Schmidt R., Scheltens P. Pathophysiological mechanisms in the development of age-related white matter changes in the brain. Dement. Geriatr. Cogn. Disord. 1998, 9(Suppl. 1):2-5.
29. Flechsig P. Developmental (myelogenic) localisation of the cerebral cortex in the human subject. Lancet 1901, 158(4077):1027-1030.
30. Foley J.M., Salat D.H., Stricker N.H., Zink T.A., Grande L.J., McGlinchey R.E., Leritz E.C. Interactive effects of apolipoprotein E4 and diabetes risk on later myelinating white matter regions in neurologically healthy older aged adults. Am. J. Alzheimers Dis. Other Demen. 2014, 29(3):222-235. 10.1177/1533317513517045.
31. Folstein M.F., Folstein S.E., McHugh P.R. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 1975, 12(3):189-198.
32. Ghisletta P., Lindenberger U. Static and dynamic longitudinal structural analyses of cognitive changes in old age. Gerontology 2004, 50(1):12-16. 10.1159/000074383.
33. Guan T., Kong J. Functional regeneration of the brain: white matter matters. Neural Regen. Res. 2015, 10(3):355-356. 10.4103/1673-5374.153675.
34. Gunning-Dixon F., Raz N. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology 2000, 14(2):224-232.
35. Hanggi J., Koeneke S., Bezzola L., Jancke L. Structural neuroplasticity in the sensorimotor network of professional female ballet dancers. Hum. Brain Mapp. 2010, 31(8):1196-1206. 10.1002/hbm.20928.
36. Hines J.H., Ravanelli A.M., Schwindt R., Scott E.K., Appel B. Neuronal activity biases axon selection for myelination in vivo. Nat. Neurosci. 2015, 18(5):683-689. 10.1038/nn.3992.
37. Hofstetter S., Tavor I., Moryosef S.T., Assaf Y. Short-term learning induces white matter plasticity in the fornix. J. Neurosci. 2013, 33(31):12844-12850.
38. Horn J.L., Cattell R.B. Age differences in fluid and crystallized intelligence. Acta Psychol. 1967, 26:107-129.
39. Hultsch D.F., Hertzog C., Dixon R.A. Ability correlates of memory performance in adulthood and aging. Psychol. Aging 1990, 5(3):356-368.
40. Jenkinson M., Beckmann C.F., Behrens T.E., Woolrich M.W., Smith S.M. Fsl. NeuroImage 2012, 62(2):782-790. 10.1016/j.neuroimage.2011.09.015.
41. Jeurissen B., Leemans A., Tournier J.D., Jones D.K., Sijbers J. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging. Hum. Brain Mapp. 2013, 34(11):2747-2766. 10.1002/hbm.22099.
42. Jones D.K., Cercignani M. Twenty-five pitfalls in the analysis of diffusion MRI data. NMR Biomed. 2010, 23(7):803-820. 10.1002/nbm.1543.
43. Jones D.K., Christiansen K.F., Chapman R.J., Aggleton J.P. Distinct subdivisions of the cingulum bundle revealed by diffusion MRI fibre tracking: implications for neuropsychological investigations. Neuropsychologia 2013, 51(1):67-78. 10.1016/j.neuropsychologia.2012.11.018.
44. Jones D.K., Knosche T.R., Turner R. White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. NeuroImage 2013, 73:239-254. 10.1016/j.neuroimage.2012.06.081.
45. Jöreskog K.G., Sörbom D. LISREL 8: Structural Equation Modeling With the SIMPLIS Command Language 1993, Scientific Software, Lincolnwood, IL.
46. Kaes T. Die Grosshirnrinde des Menschen in ihren Massen und in ihrem Fasergehalt: ein gehirnanatomischer Atlas, mit erläuterndem Text 1907, Fischer.
47. Kennedy K.M., Raz N. Aging white matter and cognition: differential effects of regional variations in diffusion properties on memory, executive functions, and speed. Neuropsychologia 2009, 47:916-927. 10.1016/j.neuropsychologia.2009.01.001.
48. Kievit R.A., Frankenhuis W.E., Waldorp L.J., Borsboom D. Simpson's paradox in psychological science: a practical guide. Front. Psychol. 2013, 4:513. 10.3389/fpsyg.2013.00513.
49. Kim K.W., MacFall J.R., Payne M.E. Classification of white matter lesions on magnetic resonance imaging in elderly persons. Biol. Psychiatry 2008, 64(4):273-280.
50. Kloppenborg R.P., Nederkoorn P.J., Geerlings M.I., van den Berg E. Presence and progression of white matter hyperintensities and cognition: a meta-analysis. Neurology 2014, 82(23):2127-2138.
51. Kolind S.H., Laule C., Vavasour I.M., Li D.K.B., Traboulsee A.L., Mädler B., MacKay A.L. Complementary information from multi-exponential T2 relaxation and diffusion tensor imaging reveals differences between multiple sclerosis lesions. NeuroImage 2008, 40(1):77-85.
52. Lindenberger U. Human cognitive aging: Corriger la fortune?. Science 2014, 346(6209):572-578. 10.1126/science.1254403.
53. Lockhart S.N., Mayda A.B., Roach A.E., Fletcher E., Carmichael O., Maillard P., Schwarz C.G., Yonelinas A.P., Ranganath C., Decarli C. Episodic memory function is associated with multiple measures of white matter integrity in cognitive aging. Front. Hum. Neurosci. 2012, 6:56. 10.3389/fnhum.2012.00056.
54. Lövdén M., Laukka E.J., Rieckmann A., Kalpouzos G., Li T.Q., Jonsson T., Wahlund L.O., Fratiglioni L., Backman L. The dimensionality of between-person differences in white matter microstructure in old age. Hum. Brain Mapp. 2013, 34:1386-1398.
55. Lövdén M., Kohncke Y., Laukka E.J., Kalpouzos G., Salami A., Li T.Q., Backman L. Changes in perceptual speed and white matter microstructure in the corticospinal tract are associated in very old age. NeuroImage 2014, 102(Pt 2):520-530. 10.1016/j.neuroimage.2014.08.020.
56. MacKay A., Whittall K., Adler J., Li D., Paty D., Graeb D. In vivo visualization of myelin water in brain by magnetic resonance. Magn. Reson. Med. 1994, 31(6):673-677.
57. Madden D.J., Bennett I.J., Burzynska A., Potter G.G., Chen N.K., Song A.W. Diffusion tensor imaging of cerebral white matter integrity in cognitive aging. Biochim. Biophys. Acta 2012, 1822(3):386-400. 10.1016/j.bbadis.2011.08.003.
58. Madhyastha T., Mérillat S., Hirsiger S., Bezzola L., Liem F., Grabowski T., Jäncke L. Longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging. Hum. Brain Mapp. 2014, (n/a-n/a). 10.1002/hbm.22493.
59. Mädler B., Drabycz S.A., Kolind S.H., Whittall K.P., MacKay A.L. Is diffusion anisotropy an accurate monitor of myelination? Correlation of multicomponent T2 relaxation and diffusion tensor anisotropy in human brain. Magn. Reson. Imaging 2008, 26(7):874-888. 10.1016/j.mri.2008.01.047.
60. Maillard P., Carmichael O., Harvey D., Fletcher E., Reed B., Mungas D., DeCarli C. FLAIR and diffusion MRI signals are independent predictors of white matter hyperintensities. AJNR Am. J. Neuroradiol. 2013, 34(1):54-61. 10.3174/ajnr.A3146.
61. Makris N., Papadimitriou G.M., van der Kouwe A., Kennedy D.N., Hodge S.M., Dale A.M., Rosene D.L. Frontal connections and cognitive changes in normal aging rhesus monkeys: a DTI study. Neurobiol. Aging 2007, 28(10):1556-1567. 10.1016/j.neurobiolaging.2006.07.005.
62. Malykhin N., Vahidy S., Michielse S., Coupland N., Camicioli R., Seres P., Carter R. Structural organization of the prefrontal white matter pathways in the adult and aging brain measured by diffusion tensor imaging. Brain Struct. Funct. 2011, 216(4):417-431. 10.1007/s00429-011-0321-1.
63. Maniega S.M., Valdes Hernandez M.C., Clayden J.D., Royle N.A., Murray C., Morris Z., Wardlaw J.M. White matter hyperintensities and normal-appearing white matter integrity in the aging brain. Neurobiol. Aging 2015, 36(2):909-918. 10.1016/j.neurobiolaging.2014.07.048.
64. Marner L., Nyengaard J.R., Tang Y., Pakkenberg B. Marked loss of myelinated nerve fibers in the human brain with age. J. Comp. Neurol. 2003, 462(2):144-152. 10.1002/cne.10714.
65. Maxwell S.E., Cole D.A. Bias in cross-sectional analyses of longitudinal mediation. Psychol. Methods 2007, 12:23-44. 10.1037/1082-989X.12.1.23.
66. McArdle J.J., Nesselroade J.R. Structuring data to study development and change. Life-span Developmental Psychology: Methodological Innovations 1994, 223-267. Erlbaum, Hillsdale, NJ. S.H. Cohen, H.W. Reese (Eds.).
67. McArdle J.J., Hamgami F., Jones K., Jolesz F., Kikinis R., Spiro A., Albert M.S. Structural modeling of dynamic changes in memory and brain structure using longitudinal data from the normative aging study. J. Gerontol. B Psychol. Sci. Soc. Sci. 2004, 59(6):P294-P304.
68. Mori S. MRI Atlas of Human White Matter 2005, Elsevier, Amsterdam, Netherlands.
69. Mueller R.O. Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS 1996, Springer Verlag, New York.
70. Muthén L.K., Muthén B.O. Mplus User's Guide 2012, Muthén & Muthén, Los Angeles, CA. 7th ed.
71. Nave K.A. Myelination and support of axonal integrity by glia. Nature 2010, 468(7321):244-252. 10.1038/nature09614.
72. Naveh-Benjamin M. Adult age differences in memory performance: tests of an associative deficit hypothesis. J. Exp. Psychol. Learn. Mem. Cogn. 2000, 26(5):1170-1187. 10.1037//0278-7393.26.5.1170.
73. Nielsen K., Peters A. The effects of aging on the frequency of nerve fibers in rhesus monkey striate cortex. Neurobiol. Aging 2000, 21(5):621-628.
74. Old S.R., Naveh-Benjamin M. Differential effects of age on item and associative measures of memory: a meta-analysis. Psychol. Aging 2008, 23(1):104-118. 10.1037/0882-7974.23.1.104.
75. Oldfield R.C. The assessment and analysis of handedness: the Edinburgh Inventory. Neuropsychologia 1971, 9(1):97-113.
76. Paus T., Pesaresi M., French L. White matter as a transport system. Neuroscience 2014, 276:117-125.
77. Penke L., Maniega S.M., Murray C., Gow A.J., Valdes Hernandez M.C., Clayden J.D., Deary I.J. A general factor of brain white matter integrity predicts information processing speed in healthy older people. J. Neurosci. 2010, 30:7569-7574.
78. Persson N., Ghisletta P., Dahle C.L., Bender A.R., Yang Y., Yuan P., Raz N. Regional brain shrinkage over two years: individual differences and effects of pro-inflammatory genetic polymorphisms. NeuroImage 2014, 103C:334-348. 10.1016/j.neuroimage.2014.09.042.
79. Peters A. The effects of normal aging on myelin and nerve fibers: a review. J. Neurocytol. 2002, 31(8):581-593.
80. Peters A. The effects of normal aging on myelinated nerve fibers in monkey central nervous system. Front. Neuroanat. 2009, 3:11. 10.3389/neuro.05.011.2009.
81. Peters A., Rosene D.L., Moss M.B., Kemper T.L., Abraham C.R., Tigges J., Albert M.S. Neurobiological bases of age-related cognitive decline in the rhesus monkey. J. Neuropathol. Exp. Neurol. 1996, 55(8):861.
82. Pfefferbaum A., Sullivan E.V. Cross-sectional versus longitudinal estimates of age-related changes in the adult brain: overlaps and discrepancies. Neurobiol. Aging 2015, 10.1016/j.neurobiolaging.2015.05.005.
83. Pfefferbaum A., Sullivan E.V., Hedehus M., Lim K.O., Adalsteinsson E., Moseley M. Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging. Magn. Reson. Med. 2000, 44:259-268.
84. Pfefferbaum A., Rosenbloom M.J., Chu W., Sassoon S.A., Rohlfing T., Pohl K.M., Sullivan E.V. White matter microstructural recovery with abstinence and decline with relapse in alcohol dependence interacts with normal ageing: a controlled longitudinal DTI study. Lancet Psychiatry 2014, 1(3):202-212.
85. Pickering T.G., Hall J.E., Appel L.J., Falkner B.E., Graves J., Hill M.N., Roccella E.J. Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Hypertension 2005, 45(1):142-161. 10.1161/01.HYP.0000150859.47929.8e.
86. Pierpaoli C., Basser P.J. Toward a quantitative assessment of diffusion anisotropy. Magn. Reson. Med. 1996, 36(6):893-906.
87. Pollack I., Norman D.A. A non-parametric analysis of recognition experiments. Psychon. Sci. 1964, 1:125-126.
88. Qiu C., Fratiglioni L. A major role for cardiovascular burden in age-related cognitive decline. Nat. Rev. Cardiol. 2015, 12(5):267-277.
89. Rabbitt P., Lowe C. Patterns of cognitive ageing. Psychological Research 2000, 63(3):308-316.
90. Radloff L.S. The CES-D scale: a self-report depression scale for research in the general population. Appl. Psychol. Meas. 1977, 1(3):385-401.
91. Rao S.M. White matter disease and dementia. Brain Cogn. 1996, 31(2):250-268.
92. Raz N., Lindenberger U. Only time will tell: cross-sectional studies offer no solution to the age-brain-cognition triangle: comment on Salthouse. Psychol. Bull. 2011, 137(5):790-795. 10.1037/a0024503.
93. Raz N., Gunning-Dixon F.M., Head D., Dupuis J.H., Acker J.D. Neuroanatomical correlates of cognitive aging: evidence from structural magnetic resonance imaging. Neuropsychology 1998, 12(1):95-114.
94. Raz N., Lindenberger U., Rodrigue K.M., Kennedy K.M., Head D., Williamson A., Acker J.D. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb. Cortex 2005, 15(11):1676-1689. 10.1093/cercor/bhi044.
95. Raz N., Lindenberger U., Ghisletta P., Rodrigue K.M., Kennedy K.M., Acker J.D. Neuroanatomical correlates of fluid intelligence in healthy adults and persons with vascular risk factors. Cereb. Cortex 2008, 18(3):718-726. 10.1093/cercor/bhm108.
96. Raz N., Ghisletta P., Rodrigue K.M., Kennedy K.M., Lindenberger U. Trajectories of brain aging in middle-aged and older adults: Regional and individual differences. Neuroimage 2010, 51:501-511. 10.1016/j.neuroimage.2010.03.020.
97. Raz N., Yang Y.Q., Rodrigue K.M., Kennedy K.M., Lindenberger U., Ghisletta P. White matter deterioration in 15 months: latent growth curve models in healthy adults. Neurobiol. Aging 2012, 33(2):429. (e421-425). 10.1016/j.neurobiolaging.2010.11.018.
98. Ritchie S.J., Bastin M.E., Tucker-Drob E.M., Maniega S.M., Engelhardt L.E., Cox S.R., Deary I.J. Coupled changes in brain white matter microstructure and fluid intelligence in later life. J. Neurosci. 2015, 35:8672-8682. 10.1523/JNEUROSCI.0862-15.2015.
99. Sachdev P., Wen W., Chen X., Brodaty H. Progression of white matter hyperintensities in elderly individuals over 3 years. Neurology 2007, 68(3):214-222.
100. Sadeghi N., Prastawa M., Fletcher P.T., Wolff J., Gilmore J.H., Gerig G. Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain. NeuroImage 2013, 68:236-247. 10.1016/j.neuroimage.2012.11.040.
101. Salthouse T.A. Using selective interference to investigate spatial memory representations. Mem. Cogn. 1974, 2(4):749-757.
102. Salthouse T.A. Simultaneous processing of verbal and spatial information. Mem. Cogn. 1975, 3(2):221-225. 10.3758/BF03212901.
103. Salthouse T.A. The processing-speed theory of adult age differences in cognition. Psychol. Rev. 1996, 103(3):403-428.
104. Salthouse T.A. Influence of age on practice effects in longitudinal neurocognitive change. Neuropsychology 2010, 24(5):563-572. 10.1037/a0019026.
105. Salthouse T.A. Neuroanatomical substrates of age-related cognitive decline. Psychol. Bull. 2011, 137(5):753-784. 10.1037/a0023262.
106. Salthouse T.A., Meinz E.J. Aging, inhibition, working memory, and speed. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 1995, 50B(6):297-306.
107. Salthouse T.A., Tucker-Drob E.M. Implications of short-term retest effects for the interpretation of longitudinal change. Neuropsychology 2008, 22(6):800-811. 10.1037/a0013091.
108. Salthouse T.A., Kausler D.H., Saults J.S. Investigation of student status, background variables, and feasibility of standard tasks in cognitive aging research. Psychol. Aging 1988, 3(1):29-37.
109. Salthouse T.A., Hancock H.E., Meinz E.J., Hambrick D.Z. Interrelations of age, visual acuity, and cognitive functioning. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 1996, 51(6):317-330.
110. Salthouse T.A., Fristoe N., McGuthry K.E., Hambrick D.Z. Relation of task switching to speed, age, and fluid intelligence. Psychol. Aging 1998, 13(3):445.
111. Sandell J.H., Peters A. Disrupted myelin and axon loss in the anterior commissure of the aged rhesus monkey. J. Comp. Neurol. 2003, 466(1):14-30.
112. Sarubbo S., De Benedictis A., Maldonado I.L., Basso G., Duffau H. Frontal terminations for the inferior fronto-occipital fascicle: anatomical dissection, DTI study and functional considerations on a multi-component bundle. Brain Struct. Funct. 2013, 218(1):21-37. 10.1007/s00429-011-0372-3.
113. Schmidt R., Roob G., Kapeller P., Schmidt H., Berghold A., Lechner A., Fazekas F. Longitudinal Change of White Matter Abnormalities 2000, Springer.
114. Schmiedek F., Lövdén M., Lindenberger U. Hundred days of cognitive training enhance broad cognitive abilities in adulthood: findings from the COGITO study. Front. Aging Neurosci. 2010, 2.
115. Schretlen D., Pearlson G.D., Anthony J.C., Aylward E.H., Augustine A.M., Davis A., Barta P. Elucidating the contributions of processing speed, executive ability, and frontal lobe volume to normal age-related differences in fluid intelligence. J. Int. Neuropsychol. Soc. 2000, 6(1):52-61.
116. Sexton C.E., Walhovd K.B., Storsve A.B., Tamnes C.K., Westlye L.T., Johansen-Berg H., Fjell A.M. Accelerated changes in white matter microstructure during aging: a longitudinal diffusion tensor imaging study. J. Neurosci. 2014, 34(46):15425-15436. 10.1523/JNEUROSCI.0203-14.2014.
117. Simpson E. The interpretation of interaction in contingency tables. J. R. Stat. Soc. Ser. B 1951, 13:238-241.
118. Smith S.M., Jenkinson M., Johansen-Berg H., Rueckert D., Nichols T.E., Mackay C.E., Behrens T.E. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 2006, 31(4):1487-1505. 10.1016/j.neuroimage.2006.02.024.
119. 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(3):1714-1722.
120. Song S.K., Yoshino J., Le T.Q., Lin S.J., Sun S.W., Cross A.H., Armstrong R.C. Demyelination increases radial diffusivity in corpus callosum of mouse brain. NeuroImage 2005, 26(1):132-140. 10.1016/j.neuroimage.2005.01.028.
121. Spencer W.D., Raz N. Differential effects of aging on memory for content and context: a meta-analysis. Psychol. Aging 1995, 10(4):527-539.
122. Stanislaw H., Todorov N. Calculation of signal detection theory measures. Behav. Res. Methods Instrum. Comput. 1999, 31(1):137-149.
123. Stewart K.J. Exercise training and the cardiovascular consequences of type 2 diabetes and hypertension: plausible mechanisms for improving cardiovascular health. JAMA 2002, 288(13):1622-1631.
124. Stroop J.R. Studies of interference in serial verbal reactions. J. Exp. Psychol. 1935, 18(6):643.
125. 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(3):1195-1204.
126. 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):1-10.
127. Tang Y., Nyengaard J.R., Pakkenberg B., Gundersen H.J. Age-induced white matter changes in the human brain: a stereological investigation. Neurobiol. Aging 1997, 18(6):609-615.
128. Teipel S.J., Bokde A.L.W., Meindl T., Amaro E., Soldner J., Reiser M.F., Hampel H. White matter microstructure underlying default mode network connectivity in the human brain. NeuroImage 2010, 49(3):2021-2032. 10.1016/j.neuroimage.2009.10.067.
129. Tuch D.S., Reese T.G., Wiegell M.R., Makris N., Belliveau J.W., Wedeen V.J. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn. Reson. Med. 2002, 48(4):577-582. 10.1002/mrm.10268.
130. Vernooij M.W., de Groot M., van der Lugt A., Ikram M.A., Krestin G.P., Hofman A., Breteler M.M. White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging. NeuroImage 2008, 43(3):470-477. 10.1016/j.neuroimage.2008.07.052.
131. Vik A., Hodneland E., Haasz J., Ystad M., Lundervold A.J., Lundervold A. Fractional anisotropy shows differential reduction in frontal-subcortical fiber bundles - a longitudinal MRI study of 76 middle-aged and older adults. Front. Aging Neurosci. 2015, 7:81. 10.3389/fnagi.2015.00081.
132. Vos S.B., Jones D.K., Viergever M.A., Leemans A. Partial volume effect as a hidden covariate in DTI analyses. NeuroImage 2011, 55(4):1566-1576. 10.1016/J.Neuroimage.2011.01.048.
133. Vos S.B., Jones D.K., Jeurissen B., Viergever M.A., Leemans A. The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain. NeuroImage 2012, 59(3):2208-2216. 10.1016/j.neuroimage.2011.09.086.
134. Wakana S., Caprihan A., Panzenboeck M.M., Fallon J.H., Perry M., Gollub R.L., Dubey P. Reproducibility of quantitative tractography methods applied to cerebral white matter. NeuroImage 2007, 36(3):630-644.
135. Walhovd K.B., Johansen-Berg H., Karadottir R.T. Unraveling the secrets of white matter-bridging the gap between cellular, animal and human imaging studies. Neuroscience 2014, 276:2-13.
136. Wang X., Casadio M., Weber K.A., Mussa-Ivaldi F.A., Parrish T.B. White matter microstructure changes induced by motor skill learning utilizing a body machine interface. NeuroImage 2013, 88C:32-40. 10.1016/j.neuroimage.2013.10.066.
137. Wheeler-Kingshott C.A.M., Cercignani M. About "axial" and "radial" diffusivities. Magn. Reson. Med. 2009, 61(5):1255-1260. 10.1002/mrm.21965.
138. Woodcock R., Johnson M. Battery-revised, W. J. P. E. Tests of Cognitive Ability 1989, DLM Teaching Resources, Allen, TX.
139. Woodcock R.W., Mather N. WJ-R tests of achievement: examiner's manual. RW Woodcock and MB Johnson, Woodcock-Johnson Psycho-educational Battery-Revised 1989, DLM Teaching Resources, Allen, TX.
140. Yang L. Practice-oriented retest learning as the basic form of cognitive plasticity of the aging brain. J. Aging Res. 2011, 2011:407074. 10.4061/2011/407074.
141. Zhan W., Zhang Y., Mueller S.G., Lorenzen P., Hadjidemetriou S., Schuff N., Weiner M.W. Characterization of white matter degeneration in elderly subjects by magnetic resonance diffusion and FLAIR imaging correlation. NeuroImage 2009, 47(Suppl. 2):T58-T65.