Cerebral blood flow and gray matter volume covariance patterns of cognition in aging

Human Brain Mapping

Volumn 34, Issue 12, 2013, Pages 3267-3279

  Steffener, Jason ^a   Brickman, Adam M ^a   Habeck, Christian G ^a   Salthouse, Timothy A ^b   Stern, Yaakov ^a  

^a Columbia University College of Physicians and Surgeons ^*  (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

Author keywords

Aging; Cerebral blood flow; Cognitive decline; Gray matter volume; Multiple modality imaging; Multivariate analysis

Indexed keywords

ADULT; AGING; ARTICLE; ATTENTION; BRAIN BLOOD FLOW; CLINICAL ARTICLE; COGNITION; COGNITIVE DEFECT; DISEASE ASSOCIATION; FEMALE; GRAY MATTER; HUMAN; IMAGE PROCESSING; LIFESPAN; MALE; MEMORY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; PSYCHOLOGIC TEST; RECOGNITION; SCREENING; SPIN LABELING; TASK PERFORMANCE; WECHSLER INTELLIGENCE SCALE; WORKING MEMORY;

AGING; CEREBRAL BLOOD FLOW; COGNITIVE DECLINE; GRAY MATTER VOLUME; MULTIPLE MODALITY IMAGING; MULTIVARIATE ANALYSIS;

ADULT; AGED; AGING; ATTENTION; BRAIN; BRAIN MAPPING; CEREBROVASCULAR CIRCULATION; COGNITION; CYCLIC N-OXIDES; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MEMORY; MIDDLE AGED; NERVE FIBERS, MYELINATED; NEUROPSYCHOLOGICAL TESTS; PROBLEM SOLVING; YOUNG ADULT;

EID: 84880328851     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22142     Document Type: Article

References (81)

1. Aguirre GK, Detre JA, Wang J (2005): Perfusion fMRI for functional neuroimaging. Int Rev Neurobiol 66:213-236.
2. Alexander GE, Mentis MJ, Van Horn JD, Grady CL, Berman KF, Furey ML, Pietrini P, Rapoport SI, Schapiro MB, Moeller JR (1999): Individual differences in PET activation of object perception and attention systems predict face matching accuracy. Neuroreport 10:1965-1971.
3. Alexander GE, Chen K, Merkley TL, Reiman EM, Caselli RJ, Aschenbrenner M, Santerre-Lemmon L, Lewis DJ, Pietrini P, Teipel SJ, Hampel H, Rapoport SI, Moeller JR (2006): Regional network of magnetic resonance imaging gray matter volume in healthy aging. Neuroreport 17:951-956.
4. Alsop DC, Detre JA (1996): Reduced transit-time sensitivity in noninvasive magnetic resonance imaging of human cerebral blood flow. J Cereb Blood Flow Metab 16:1236-1249.
5. Alsop DC, Detre JA (1998): Multisection cerebral blood flow MR imaging with continuous arterial spin labeling. Radiology 208:410-416.
6. American Psychiatric Association (1994):Diagnostic and Statistical Manual of Mental Disorders.Washington, DC:American Psychiatric Press.
7. Ashburner J, Friston KJ (2000): Voxel-based morphometry-The methods. Neuroimage 11( 6 Pt 1):805-821.
8. Ashburner J, Friston KJ (2005): Unified segmentation. NeuroImage 26:839-851.
9. Bangen KJ, Restom K, Liu TT, Jak AJ, Wierenga CE, Salmon DP, Bondi MW (2009): Differential age effects on cerebral blood flow and BOLD response to encoding: Associations with cognition and stroke risk. Neurobiol Aging 30:1276-1287.
10. Baron RM, Kenny DA (1986): The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51:1173-1182.
11. Berent S, Giordani B, Lehtinen S, Markel D, Penney JB, Buchtel HA, Starosta-Rubinstein S, Hichwa R, Young AB (1988): Positron emission tomographic scan investigations of Huntington's disease: Cerebral metabolic correlates of cognitive function. Ann Neurol 23:541-546.
12. Bergfield KL, Hanson KD, Chen K, Teipel SJ, Hampel H, Rapoport SI, Moeller JR, Alexander GE. (2010): Age-related networks of regional covariance in MRI gray matter: Reproducible multivariate patterns in healthy aging. NeuroImage 49:1750-1759.
13. Bertsch K, Hagemann D, Hermes M, Walter C, Khan R, Naumann E (2009): Resting cerebral blood flow, attention, and aging. Brain Res 1267:77-88.
14. Brickman AM, Zimmerman ME, Paul RH, Grieve SM, Tate DF, Cohen RA, Williams LM, Clark CR, Gordon E (2006): Regional white matter and neuropsychological functioning across the adult lifespan. Biol Psychiatry 60:444-453.
15. Brickman AM, Habeck C, Zarahn E, Flynn J, Stern Y (2007): Structural MRI covariance patterns associated with normal aging and neuropsychological functioning. Neurobiol Aging 28:284-295.
16. Brickman AM, Habeck C, Ramos MA, Scarmeas N, Stern Y (2008): A forward application of age associated gray and white matter networks. Hum Brain Mapp 29:1139-1146.
17. Brickman AM, Siedlecki KL, Muraskin J, Manly JJ, Luchsinger JA, Yeung LK, Brown TR, DeCarli C, Stern Y (2011): White matter hyperintensities and cognition: Testing the reserve hypothesis. Neurobiol Aging 32:1588-1598.
18. Buijs PC, Krabbe-Hartkamp MJ, Bakker CJ, de Lange EE, Ramos LM, Breteler MM, Mali WP (1998): Effect of age on cerebral blood flow: Measurement with ungated two-dimensional phase-contrast MR angiography in 250 adults. Radiology 209:667-674.
19. Burnham KP, Anderson DR 2002.Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach.New York, NY:Springer.
20. Buschke H, Fuld PA (1974): Evaluating storage, retention, and retrieval in disordered memory and learning. Neurology 24:1019-1025.
21. Charlton RA, Landau S, Schiavone F, Barrick TR, Clark CA, Markus HS, Morris RG (2008): A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage. Neurobiol Aging 29:1547-1555.
22. Chen JJ, Rosas HD, Salat DH (2011): Age-associated reductions in cerebral blood flow are independent from regional atrophy. Neuroimage 55:468-478.
23. Conger AJ, Jackson DN (1972): Suppressor variables, prediction, and the interpretation of psychological relationships. Educ Psychol Meas 32:579-599.
24. Duara R, Grady C, Haxby J, Ingvar D, Sokoloff L, Margolin RA, Manning RG, Cutler NR, Rapoport SI (1984): Human brain glucose utilization and cognitive function in relation to age. Ann Neurol 16:703-713.
25. Faul F, Erdfelder E, Lang AG, Buchner A (2007): G Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 39:175-191.
26. Fierstra J, Poublanc J, Han JS, Silver F, Tymianski M, Crawley AP, Fisher JA, Mikulis DJ (2010): Steal physiology is spatially associated with cortical thinning. J Neurol Neurosurg Psychiatry 81:290-293.
27. Fotenos AF, Snyder AZ, Girton LE, Morris JC, Buckner RL (2005): Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD. Neurology 64:1032-1039.
28. Gold BT, Powell DK, Xuan L, Jicha GA, Smith CD (2008): Age-related slowing of task switching is associated with decreased integrity of frontoparietal white matter. Neurobiol Aging 31:512-522.
29. Gong QY, Sluming V, Mayes A, Keller S, Barrick T, Cezayirli E, Roberts N (2005): Voxel-based morphometry and stereology provide convergent evidence of the importance of medial prefrontal cortex for fluid intelligence in healthy adults. Neuroimage 25:1175-1186.
30. Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS (2001): A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14( 1 Pt 1):21-36.
31. Gunning-Dixon FM, Raz N (2003): Neuroanatomical correlates of selected executive functions in middle-aged and older adults: A prospective MRI study. Neuropsychologia 41:1929-1941.
32. Habeck C, Stern Y (2007): Neural network approaches and their reproducibility in the study of verbal working memory and Alzheimer's disease. Clin Neurosci Res 6:381-390.
33. Habeck C, Krakauer JW, Ghez C, Sackeim HA, Eidelberg D, Stern Y, Moeller JR (2005): A new approach to spatial covariance modeling of functional brain imaging data: Ordinal trend analysis. Neural Comput 17:1602-1645.
34. Hagstadius S, Risberg J (1989): Regional cerebral blood flow characteristics and variations with age in resting normal subjects. Brain Cogn 10:28-43.
35. Heo S, Prakash RS, Voss MW, Erickson KI, Ouyang C, Sutton BP, Kramer AF (2010): Resting hippocampal blood flow, spatial memory and aging. Brain Res 1315:119-127.
36. Kaup AR, Mirzakhanian H, Jeste DV, Eyler LT (2011): A review of the brain structure correlates of successful cognitive aging. J Neuropsychiatry Clin Neurosci 23:6-15.
37. Kraemer HC, Stice E, Kazdin A, Offord D, Kupfer D (2001): How do risk factors work together? Mediators, moderators, and independent, overlapping, and proxy risk factors. Am J Psychiatry 158:848-856.
38. Kriegeskorte N, Simmons WK, Bellgowan PSF, Baker CI (2009): Circular analysis in systems neuroscience: The dangers of double dipping. Nat Neurosci 12:535-540.
39. Lu H, Xu F, Rodrigue KM, Kennedy KM, Cheng Y, Flicker B, Hebrank AC, Uh J, Park DC (2011): Alterations in cerebral metabolic rate and blood supply across the adult lifespan. Cerebral Cortex 21:1426-1434.
40. Madden DJ, Spaniol J, Costello MC, Bucur B, White LE, Cabeza R, Davis SW, Dennis NA, Provenzale JM, Huettel SA (2009): Cerebral white matter integrity mediates adult age differences in cognitive performance. J Cogn Neurosci 21:289-302.
41. Marchal G, Rioux P, Petit-Taboue MC, Sette G, Travere JM, Le Poec C, Courtheoux P, Derlon JM, Baron JC (1992): Regional cerebral oxygen consumption, blood flow, and blood volume in healthy human aging. Arch Neurol 49:1013-1020.
42. Martin AJ, Friston KJ, Colebatch JG, Frackowiak RS (1991): Decreases in regional cerebral blood flow with normal aging. J Cereb Blood Flow Metab 11:684-689.
43. Mattis S (1988):Dementia Rating Scale.Odessa:Psychological assessment resources.
44. McPhee RD, Seibold DR (1979): Rationale, procedures, and applications for decomposition of explained variance in multiple regression analyses. Commun Res 6:345-384.
45. Moeller JR, Strother SC, Sidtis JJ, Rottenberg DA (1987): Scaled subprofile model: A statistical approach to the analysis of functional patterns in positron emission tomographic data. J Cereb Blood Flow Metab 7:649-658.
46. Moeller JR, Ishikawa T, Dhawan V, Spetsieris P, Mandel F, Alexander GE, Grady C, Pietrini P, Eidelberg D (1996): The metabolic topography of normal aging. J Cereb Blood Flow Metab 16:385-398.
47. Pantano P, Baron JC, Lebrun-Grandie P, Duquesnoy N, Bousser MG, Comar D (1984): Regional cerebral blood flow and oxygen consumption in human aging. Stroke 15:635-641.
48. Parkes LM, Rashid W, Chard DT, Tofts PS (2004): Normal cerebral perfusion measurements using arterial spin labeling: Reproducibility, stability, and age and gender effects. Magn Reson Med 51:736-743.
49. Rabbitt P, Scott M, Thacker N, Lowe C, Jackson A, Horan M, Pendleton N (2006): Losses in gross brain volume and cerebral blood flow account for age-related differences in speed but not in fluid intelligence. Neuropsychology 20:549-557.
50. Rabbitt P, Scott M, Lunn M, Thacker N, Lowe C, Pendleton N, Horan M, Jackson A (2007): White matter lesions account for all age-related declines in speed but not in intelligence. Neuropsychology 21:363-370.
51. Raven J (1962).Advanced Progressive Matrices, Set II.London:H.K. Lewis.
52. Raz N, Rodrigue KM (2006): Differential aging of the brain: Patterns, cognitive correlates and modifiers. Neurosci Biobehav Rev 30:730-748.
53. Reitan RM, Wolfson D 1993.The Halstead-Reitan Neuropsychological Test Battery: Theory and Clinical Interpretation.Tuscon, AZ:Neuropsychology Press.
54. Reuben A, Brickman AM, Muraskin J, Steffener J, Stern Y (2011): Hippocampal atrophy relates to fluid intelligence decline in the elderly. J Int Neuropsychol Soc 17:56-61.
55. Salthouse TA (2004): What and when of cognitive aging. Curr Directions Psychol Sci 13:140-144.
56. Salthouse TA (2005): Relations between cognitive abilities and measures of executive functioning. Neuropsychology 19:532-545.
57. Salthouse TA (1996): The processing-speed theory of adult age differences in cognition. Psychol Rev 103:403-428.
58. Salthouse TA (2011): Neuroanatomical substrates of age-related cognitive decline. Psychol Bull 137:753-784.
59. Salthouse TA, Ferrer-Caja E (2003): What needs to be explained to account for age-related effects on multiple cognitive variables?Psychol Aging 18:91-110.
60. Salthouse TA, Pink JE (2008): Why is working memory related to fluid intelligence?Psychon Bull Rev 15:364-371.
61. Schretlen D, Pearlson GD, Anthony JC, Aylward EH, Augustine AM, Davis A, Barta P (2000): Elucidating the contributions of processing speed, executive ability, and frontal lobe volume to normal age-related differences in fluid intelligence. J Int Neuropsychol Soc 6:52-61.
62. Seibold DR, McPhee RD (1978): Commonality analyses: A method for decomposing explaine dvariance in multiple regression alayses. Hum Commun Res 5:355-365.
63. Shrout PE, Bolger N (2002): Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychol Methods 7:422-445.
64. Siedlecki KL, Honig LS, Stern Y (2008): Exploring the structure of a neuropsychological battery across healthy elders and those with questionable dementia and Alzheimer's disease. Neuropsychology 22:400-411.
65. Siedlecki KL, Stern Y, Reuben A, Sacco RL, Elkind MSV, Wright CB (2009): Construct validity of cognitive reserve in a multiethnic cohort: The Northern Manhattan study. J Int Neuropsychol Soc 15:558-569.
66. Smith SM (2002): Fast robust automated brain extraction. Hum Brain Mapp 17:143-155.
67. Sowell ER, Thompson PM, Toga AW (2004): Mapping changes in the human cortex throughout the span of life. Neuroscientist 10:372-392.
68. Spetsieris PG, Eidelberg D (2011): Scaled subprofile modeling of resting state imaging data in Parkinson's disease: Methodological issues. Neuroimage 54:2899-2914.
69. Stern Y (2009): Cognitive reserve. Neuropsychologia 47:2015-2028.
70. Stern Y, Habeck C, Moeller J, Scarmeas N, Anderson KE, Hilton HJ, Flynn J, Sackeim H, van Heertum R (2005): Brain networks associated with cognitive reserve in healthy young and old adults. Cereb Cortex 15:394-402.
71. Taki Y, Kinomura S, Sato K, Goto R, Wu K, Kawashima R, Fukuda H (2011): Correlation between gray/white matter volume and cognition in healthy elderly people. Brain Cogn 75:170-176.
72. Vaidya JG, Paradiso S, Boles Ponto LL, McCormick LM, Robinson RG (2007): Aging, grey matter, and blood flow in the anterior cingulate cortex. Neuroimage 37:1346-1353.
73. Van Petten C (2004): Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: Review and meta-analysis. Neuropsychologia 42:1394-1413.
74. Vul E, Harris C, Winkielman P, Pashler H (2009): Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition. Perspect Psychol Sci 4:274-290.
75. Wang J, Alsop DC, Li L, Listerud J, Gonzalez-At JB, Schnall MD, Detre JA (2002): Comparison of quantitative perfusion imaging using arterial spin labeling at 1.5 and 4.0 Tesla. Magn Reson Med 48:242-254.
76. Wang Z, Aguirre GK, Rao H, Wang J, Fernández-Seara MA, Childress AR, Detre JA (2008): Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx. Magn Reson Imag 26:261-269.
77. Wechsler D (1981).Wechsler Adult Intelligence Scale Revised.New York:The Psychological Corporation.
78. Wechsler D (1997).Wechsler Memory Scale-IIISan Antonio, TX:Psychological Coorporation.
79. Zahr NM, Rohlfing T, Pfefferbaum A, Sullivan EV (2009): Problem solving, working memory, and motor correlates of association and commissural fiber bundles in normal aging: A quantitative fiber tracking study. Neuroimage 44:1050-1062.
80. Zientek LR, Thompson B (2006): Commonality analysis: Partitioning variance to facilitate better understanding of data. J Early Intervention 28:299-307.
81. Zimmerman ME, Brickman AM, Paul RH, Grieve SM, Tate DF, Gunstad J, Cohen RA, Aloia MS, Williams LM, Clark CR, Whitford TJ, Gordon E (2006): The relationship between frontal gray matter volume and cognition varies across the healthy adult lifespan. Am J Geriatr Psychiatry 14:823-833.