What is a representative brain? Neuroscience meets population science

Proceedings of the National Academy of Sciences of the United States of America

Volumn 110, Issue 44, 2013, Pages 17615-17622

  Falk, Emily B ^a,b,c   Hyde, Luke W ^d,e,f   Mitchell, Colter ^e,f   Faul, Jessica ^e,f   Gonzalez, Richard ^e   Heitzeg, Mary M ^b,d,g   Keating, Daniel P ^h   Langa, Kenneth M ^d,e,h,i   Martz, Meghan E ^e,j,k   Maslowsky, Julie ^d   Morrison, Frederick J ^l   Noll, Douglas C ^d   Patrick, Megan E ^m   Pfeffer, Fabian T ^e   Reuter Lorenz, Patricia A ^e,f   Thomason, Moriah E ^d,e,n   Davis Kean, Pamela ^o,p,q   Monk, Christopher S ^d,e,f,h,n   Schulenberg, John ^d,e,f  

^a Departments of Communication Studies   (United States)

^b Departments of Psychology   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d Research Center for Group Dynamics   (United States)

^e Departments of Survey Research Center   (United States)

^f UNIVERSITY OF MICHIGAN   (United States)

^g Departments of Statistics   (United States)

^h Departments of Psychiatry   (United States)

ⁱ Departments of Pediatrics and Communicable Diseases   (United States)

^j Departments of Internal Medicine   (United States)

^k VETERANS AFFAIRS MEDICAL CENTER   (United States)

^l UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^m UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

ⁿ Neuroscience Graduate Program   (United States)

^o School of Medicine Pediatrics   (United States)

^p WAYNE STATE UNIVERSITY   (United States)

^q NATIONAL INSTITUTES OF HEALTH   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIOR; BRAIN; ECOLOGY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MODEL; NEUROIMAGING; NEUROSCIENCE; NONHUMAN; OUTCOME ASSESSMENT; POPULATION RESEARCH; PRACTICE GUIDELINE; PRIORITY JOURNAL; REVIEW; SAMPLING; SOCIOLOGY;

LIFE COURSE; NEUROIMAGING; PHYSICS; STATISTICS; SURVEY METHODOLOGY;

HUMANS; INDIVIDUALITY; INTERDISCIPLINARY COMMUNICATION; INTERPERSONAL RELATIONS; NEUROIMAGING; NEUROSCIENCES;

EID: 84887036614     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1310134110     Document Type: Review

References (126)

1. Cabeza R, Nyberg L (2000) Imaging cognition II: An empirical review of 275 PET and fMRI studies. J Cogn Neurosci 12(1):1-47.
2. Cacioppo JT, Berntson GG, Sheridan JF, McClintock MK (2000) Multilevel integrative analyses of human behavior: Social neuroscience and the complementing nature of social and biological approaches. Psychol Bull 126(6):829-843.
3. Lieberman MD (2010) Social cognitive neuroscience. Handbook of Social Psychology, eds Fiske S, Gilbert D, Lindzey G (McGraw-Hill, New York), 5th Ed, pp 143-193.
4. Sanfey AG, Loewenstein G, McClure SM, Cohen JD (2006) Neuroeconomics: Cross-currents in research on decision-making. Trends Cogn Sci 10(3):108-116.
5. Eisenberger NI, Cole SW (2012) Social neuroscience and health: Neurophysiological mechanisms linking social ties with physical health. Nat Neurosci 15(5):669-674.
6. Paus T (2010) Population neuroscience: Why and how. Hum Brain Mapp 31(6):891-903.
7. Henrich J, Heine SJ, Norenzayan A (2010) The weirdest people in the world? Behav Brain Sci 33(2-3):61-83, discussion 83-135.
8. Sears DO (1986) College sophomores in the laboratory: Influences of a narrow data base on social psychology's view of human nature. J Pers Soc Psychol 15(3):515-530.
9. Button KS, et al. (2013) Power failure: Why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 14(5):365-376.
10. Stiles J (2009) On genes, brains, and behavior: Why should developmental psychologists care about brain development? Child Dev Perspect 3(3):196-202.
11. Zelazo PD, Paus T (2010) Developmental social neuroscience: An introduction. Soc Neurosci 5(5-6):417-421.
12. Crone EA, Dahl RE (2012) Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat Rev Neurosci 13(9):636-650.
13. Keating DP (2010) Nature and Nurture in Early Child Development (Cambridge Univ Press, New York).
14. Hertzman C, Boyce T (2010) How experience gets under the skin to create gradients in developmental health. Annu Rev Public Health 31:329-347.
15. Boyce WT, Sokolowski MB, Robinson GE (2012) Toward a new biology of social adversity. Proc Natl Acad Sci USA 109(Suppl 2): 17143-17148.
16. Meaney MJ (2010) Epigenetics and the biological definition of gene x environment interactions. Child Dev 81(1):41-79.
17. Taylor SE (2010) Mechanisms linking early life stress to adult health outcomes. Proc Natl Acad Sci USA 107(19):8507-8512.
18. Paus T (2012) Some thoughts on the relationship of developmental science and population neuroscience. Int J Develop Sci 6(1):9-11.
19. Bronfenbrenner U (1979) The Ecology of Human Development: Experiments by Nature and Design (Harvard Univ Press, Cambridge, MA).
20. Cicchetti D, Toth SL (1997) Transactional ecological systems in developmental psychopathology. Developmental Psychopathology: Perspectives on Adjustment, Risk, and Disorder, eds Luthar SS, Burack JA, Cicchetti D, Weisz JR (Cambridge Univ Press, Cambridge, UK), p 317.
21. Li S-C (2009) Brain in macro experiential context: Biocultural coconstruction of lifespan neurocognitive development. Prog Brain Res 178:17-29.
22. Chiao JY, Cheon BK (2010) The weirdest brains in the world. Behav Brain Sci 33(2-3):88-90.
23. Groves RM, et al. (2009) Survey Methodology (Wiley, Hoboken, NJ).
24. Kish L (1995) Survey Sampling (Wiley, Hoboken, NJ).
25. Turkheimer E, Haley A, Waldron M, D'Onofrio B, Gottesman II (2003) Socioeconomic status modifies heritability of IQ in young children. Psychol Sci 14(6):623-628.
26. Camp CJ, West RL, Poon LW (1989) Recruitment practices of psychology research in gerontology. Special Research Methods for Gerontology, eds Lawton MP, Herzog AR (Baywood, Amityville, NY). pp 163-189.
27. Ransohoff DF, Feinstein AR (1978) Problems of spectrum and bias in evaluating the efficacy of diagnostic tests. N Engl J Med 299(17):926-930.
28. Miller JG (1984) Culture and development of everyday social explanation. J Pers Soc Psychol 46(5):961-978.
29. Peterson RA (2001) On the use of college students in social science research: Insights from a second-order meta-analysis. J Consum Res 28(3):450-461.
30. Brayne C, et al.; EClipSE Collaborative Members (2010) Education, the brain and dementia: neuroprotection or compensation? Brain 133(Pt 8):2210-2216.
31. Blehar MC (2003) Public health context of women's mental health research. Psychiatr Clin North Am 26(3):781-799.
32. Brawley OW, Freeman HP (1999) Race and outcomes: Is this the end of the beginning for minority health research? J Natl Cancer Inst 91(22):1908-1909.
33. Tunis SR, Stryer DB, Clancy CM (2003) Practical clinical trials: Increasing the value of clinical research for decision making in clinical and health policy. JAMA 290(12):1624-1632.
34. Glasgow RE, et al. (2006) External validity: We need to do more. Ann Behav Med 31(2):105-108.
35. Wolfe B, Evans W, Seeman TE (2012) The Biological Consequences of Socioeconomic Inequalities (Russell Sage Foundation Publications, New York).
36. Muscatell KA, Eisenberger NI (2012) A social neuroscience perspective on stress and health. Social and Personality Psychological Compass 6(12):890-904.
37. Brooks-Gunn J, Duncan GJ (1997) The effects of poverty on children. Future Child 7(2):55-71.
38. Xue Y, Leventhal T, Brooks-Gunn J, Earls FJ (2005) Neighborhood residence and mental health problems of 5- to 11-year-olds. Arch Gen Psychiatry 62(5):554-563.
39. Sirin SR (2005) Socioeconomic status and academic achievement: A meta-analytic review of research. Rev Educ Res 75(3):417-453.
40. Appleyard K, Egeland B, van Dulmen MH, Sroufe LA (2005) When more is not better: The role of cumulative risk in child behavior outcomes. J Child Psychol Psychiatry 46(3):235-245.
41. Wilkinson RG, Pickett KE (2006) Income inequality and population health: A review and explanation of the evidence. Soc Sci Med 62(7):1768-1784.
42. McLanahan S (2009) Fragile families and the reproduction of poverty. Ann Am Acad Pol Soc Sci 621(1):111-131.
43. Gianaros PJ, et al. (2007) Perigenual anterior cingulate morphology covaries with perceived social standing. Soc Cogn Affect Neurosci 2(3):161-173.
44. Gianaros PJ, et al. (2007) Prospective reports of chronic life stress predict decreased grey matter volume in the hippocampus. Neuroimage 35(2):795-803.
45. Gianaros PJ, et al. (2011) Parental education predicts corticostriatal functionality in adulthood. Cereb Cortex 21(4):896-910.
46. Hanson JL, et al. (2013) Brain development and poverty: A first look. The Biological Consequences of Socioeconomic Inequalities, eds Wolfe B, Evans W, Seeman TE (Russell Sage Foundation, New York).
47. Hackman DA, Farah MJ, Meaney MJ (2010) Socioeconomic status and the brain: Mechanistic insights from human and animal research. Nat Rev Neurosci 11(9):651-659.
48. Hyde LW, Shaw DS, Hariri AR (2013) Neuroscience, developmental psychopathology and youth antisocial behavior: Review, integration, and directions for research. Dev Rev 33:168-223.
49. Crowe SL, Blair RJR (2008) The development of antisocial behavior: What can we learn from functional neuroimaging studies? Dev Psychopathol 20(4):1145-1159.
50. Price JL, Drevets WC (2010) Neurocircuitry of mood disorders. Neuropsychopharmacology 35(1):192-216.
51. Forbes CE, Grafman J (2010) The role of the human prefrontal cortex in social cognition and moral judgment. Annu Rev Neurosci 33:299-324.
52. Phelps EA (2006) Emotion and cognition: Insights from studies of the human amygdala. Annu Rev Psychol 57:27-53.
53. Kelley AE, Berridge KC (2002) The neuroscience of natural rewards: Relevance to addictive drugs. J Neurosci 22(9):3306-3311.
54. Everitt BJ, Cardinal RN, Hall J, Parkinson J, Robbins T (2000) Differential Involvement of Amygdala Subsystems in Appetitive Conditioning and Drug Addiction. The Amygdala: A Functional Analysis, ed Aggleton J (Oxford Univ Press, Oxford), pp 353-390.
55. Koechlin E, Ody C, Kouneiher F (2003) The architecture of cognitive control in the human prefrontal cortex. Science 302(5648): 1181-1185.
56. Burghy CA, et al. (2012) Developmental pathways to amygdalaprefrontal function and internalizing symptoms in adolescence. Nat Neurosci 15(12):1736-1741.
57. Vaisey S (2009) Motivation and justification: A dual-process model of culture in action. AJS 114(6):1675-1715.
58. Damasio A (2012) Self Comes to Mind: Constructing the Conscious Brain (Random House, New York).
59. Strauss C, Quinn N (1997) A Cognitive Theory of Cultural Meaning (Cambridge Univ Press, Cambridge, UK).
60. Sewell WH (2005) Logics of History: Social Theory and Social Transformation (Univ of Chicago Press, Chicago).
61. Hyde LW, Bogdan R, Hariri AR (2011) Understanding risk for psychopathology through imaging gene-environment interactions. Trends Cogn Sci 15(9):417-427.
62. Sameroff A (2010) A unified theory of development: A dialectic integration of nature and nurture. Child Dev 81(1):6-22.
63. Graham JW, Hofer SM, MacKinnon DP (1996) Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures. Multivariate Behav Res 31(2):197-218.
64. Fakra E, et al. (2009) Effects of HTR1A C(-1019)G on amygdala reactivity and trait anxiety. Arch Gen Psychiatry 66(1):33-40.
65. Persson J, et al. (2012) Longitudinal structure-function correlates in elderly reveal MTL dysfunction with cognitive decline. Cereb Cortex 22(10):2297-2304.
66. Weiland BJ, et al. (2013) Accumbens functional connectivity during reward mediates sensation-seeking and alcohol use in highrisk youth. Drug Alcohol Depend 128(1-2):130-139.
67. Evans AC, Group TBDC; Brain Development Cooperative Group (2006) The NIH MRI study of normal brain development. Neuroimage 30(1):184-202.
68. Yan C-G, Craddock RC, Zuo X-N, Zang Y-F, Milham MP (2013) Standardizing the intrinsic brain: Towards robust measurement of interindividual variation in 1000 functional connectomes. NeuroImage 80:246-262.
69. Fennema-Notestine C, et al. (2007) Feasibility of multi-site clinical structural neuroimaging studies of aging using legacy data. Neuroinformatics 5(4):235-245.
70. Nikolova YS, Singhi EK, Drabant EM, Hariri AR (2013) Rewardrelated ventral striatum reactivity mediates gender-specific effects of a galanin remote enhancer haplotype on problem drinking. Genes Brain Behav 12(5):516-524.
71. Satterthwaite TD, et al. (2012) Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youth. Neuroimage 61(3):723-729.
72. Marcus DS, et al. (2007) Open access series of imaging studies (OASIS): Cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. J Cogn Neurosci 19(9):1498-1507.
73. Jack CR, Jr., et al. (2008) The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods. J Magn Reson Imaging 27(4): 685-691.
74. Potkin SG, Ford JM (2009) Widespread cortical dysfunction in schizophrenia: The FBIRN imaging consortium. Schizophr Bull 35(1): 15-18.
75. Thyreau B, et al.; IMAGEN Consortium (2012) Very large fMRI study using the IMAGEN database: Sensitivity-specificity and population effect modeling in relation to the underlying anatomy. Neuroimage 61(1):295-303.
76. Toga AW, Clark KA, Thompson PM, Shattuck DW, Van Horn JD (2012) Mapping the human connectome. Neurosurgery 71(1):1-5.
77. Fjell AM, et al.; Pediatric Imaging, Neurocognition, and Genetics Study (2012) Multimodal imaging of the self-regulating developing brain. Proc Natl Acad Sci USA 109(48):19620-19625.
78. Jahanshad N, et al. (2013) Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI Working Group. NeuroImage 81:455-469.
79. Hedman AM, van Haren NE, Schnack HG, Kahn RS, Hulshoff Pol HE (2012) Human brain changes across the life span: A review of 56 longitudinal magnetic resonance imaging studies. Hum Brain Mapp 33(8):1987-2002.
80. Glover GH, et al. (2012) Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies. J Magn Reson Imaging 36(1):39-54.
81. Sutton BP, et al. (2008) Investigation and validation of intersite fMRI studies using the same imaging hardware. J Magn Reson Imaging 28(1):21-28.
82. Kelly C, Biswal BB, Craddock RC, Castellanos FX, Milham MP (2012) Characterizing variation in the functional connectome: Promise and pitfalls. Trends Cogn Sci 16(3):181-188.
83. Zuo X-N, et al. (2013) Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space. Neuroimage 65(15):374-386.
84. Yendiki A, et al. (2010) Multi-site characterization of an fMRI working memory paradigm: Reliability of activation indices. Neuroimage 53(1):119-131.
85. Evans AC, Janke AL, Collins DL, Baillet S (2012) Brain templates and atlases. Neuroimage 62(2):911-922.
86. Sutton BP, Ouyang C, Karampinos DC, Miller GA (2009) Current trends and challenges in MRI acquisitions to investigate brain function. Int J Psychophysiol 73(1):33-42.
87. Shadish WR, Cook TD, Campbell DT (2002) Experimental and Quasi-Experimental Designs for Generalized Causal Inference (Houghton-Mifflin, Boston), 2nd Ed.
88. LaVange LM, Koch GG, Schwartz TA (2001) Applying sample survey methods to clinical trials data. Stat Med 20(17-18): 2609-2623.
89. Korn EL, Graubard BI (1995) Analysis of large health surveys: Accounting for the sampling design. J R Stat Soc Ser A Stat Soc 158:263-295.
90. Xie Y (2000) Demography: Past, present, and future. J Am Stat Assoc 95(450):670-673.
91. Kalsbeek W, Heiss G (2000) Building bridges between populations and samples in epidemiological studies. Annu Rev Public Health 21(1):147-169.
92. Frayling TM, et al. (2007) A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316(5826):889-894.
93. Kanai R, Bahrami B, Roylance R, Rees G (2012) Online social network size is reflected in human brain structure. Proc R Soc Biol Sci 279(1732):1327-1334.
94. Lehmann J &Dunbar RI (2009) Network cohesion, group size and neocortex size in female-bonded Old World primatesProc R Soc Biol Sci 276(1677):4417-4422.
95. Taylor SE, Repetti RL, Seeman T (1997) Health psychology: what is an unhealthy environment and how does it get under the skin? Annu Rev Psychol 48(1):411-447.
96. Issa FA, Drummond J, Cattaert D, Edwards DH (2012) Neural circuit reconfiguration by social status. J Neurosci 32(16):5638-5645.
97. Morrison KE, Curry DW, Cooper MA (2012) Social status alters defeat-induced neural activation in Syrian hamsters. Neuroscience 210:168-178.
98. Muscatell KA, et al. (2012) Social status modulates neural activity in the mentalizing network. Neuroimage 60(3):1771-1777.
99. Chiao JY, et al. (2009) Neural representations of social status hierarchy in human inferior parietal cortex. Neuropsychologia 47(2): 354-363.
100. Wasserman CR, Shaw GM, Selvin S, Gould JB, Syme SL (1998) Socioeconomic status, neighborhood social conditions, and neural tube defects. Am J Public Health 88(11):1674-1680.
101. Hackman DA, Farah MJ (2009) Socioeconomic status and the developing brain. Trends Cogn Sci 13(2):65-73.
102. Hyde LW, Gorka A, Manuck SB, Hariri AR (2011) Perceived social support moderates the link between threat-related amygdala reactivity and trait anxiety. Neuropsychologia 49(4):651-656.
103. Berkman ET, Falk EB (2013) Beyond brain mapping: Using the brain to predict real-world outcomes. Curr Dir Psychol Sci 22(1): 45-55.
104. Falk EB, Berkman ET, Lieberman MD (2012) From neural responses to population behavior: Neural focus group predicts population-level media effects. Psychol Sci 23(5):439-445.
105. Falk EB, Berkman ET, Mann T, Harrison B, Lieberman MD (2010) Predicting persuasion-induced behavior change from the brain. J Neurosci 30(25):8421-8424.
106. Belsky J, Pluess M (2009) Beyond diathesis stress: Differential susceptibility to environmental influences. Psychol Bull 135(6): 885-908.
107. Chiao JY, et al. (2010) Theory and methods in cultural neuroscience. Soc Cogn Affect Neurosci 5(2-3):356-361.
108. Sastry N, McGonagle K, Schoeni RF (2009) Introduction to the special issue on the scientific assessment of biomeasures in the panel study of income dynamics. Biodemography and Social Biology 55(2): 113-117.
109. Freese J, Shostak S (2009) Genetics and social inquiry. Annu Rev Sociol 35(1):107-128.
110. McDade TW, Williams S, Snodgrass JJ (2007) What a drop can do: Dried blood spots as a minimally invasive method for integrating biomarkers into population-based research. Demography 44(4): 899-925.
111. Freese J, Li J-CA, Wade LD (2003) The potential relevances of biology to social inquiry. Annu Rev Sociol 29(1):233-256.
112. Boardman JD, et al. (2011) Population composition, public policy, and the genetics of smoking. Demography 48(4):1517-1533.
113. Mitchell C, et al. (2013) Differential sensitivity to social environments: Implications for research. Am J Public Health 103(S1):S102-S110.
114. Massey DS (2002) A brief history of human society: The origin and role of emotion in social life. Am Sociol Rev 67(1):1-29.
115. Poldrack RA, et al. (2008) Guidelines for reporting an fMRI study. Neuroimage 40(2):409-414.
116. Ben-Shlomo Y, Kuh D (2002) A life course approach to chronic disease epidemiology: Conceptual models, empirical challenges and interdisciplinary perspectives. Int J Epidemiol 31(2):285-293.
117. Lerner RM (2006) Developmental Science, Developmental Systems, and Contemporary theories of human development, eds Darmon W, Lerner RM, (Wiley, Hoboken, NJ), 6th Ed, Vol 1.
118. Biswal BB, et al. (2010) Toward discovery science of human brain function. Proc Natl Acad Sci USA 107(10):4734-4739.
119. Buckner RL, et al. (2009) Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J Neurosci 29(6):1860-1873.
120. Kalcher K, et al. (2012) Fully exploratory network independent component analysis of the 1000 functional connectomes database. Front Hum Neurosci 6:1-11.
121. Yarkoni T, Poldrack RA, Van Essen DC, Wager TD (2010) Cognitive neuroscience 2.0: building a cumulative science of human brain function. Trends Cogn Sci 14(11):489-496.
122. Giedd JN, et al. (1996) Quantitative magnetic resonance imaging of human brain development: Ages 4-18. Cereb Cortex 6(4): 551-560.
123. Falk EB (2013) Can neuroscience advance our understanding of core questions in Communication Studies? An overview of Communication Neuroscience. Communication @ the Center, ed Jones S (Hampton Press, New York), pp 77-94.
124. Hariri AR (2009) The neurobiology of individual differences in complex behavioral traits. Annu Rev Neurosci 32:225-247.
125. Harrison K, et al. (2011) Toward a developmental conceptualization of contributors to overweight and obesity in childhood: the six-Cs model. Child Development Perspectives 5(1):50-58.
126. Antonucci TC, et al. (2012) The right to move: A multidisciplinary lifespan conceptual framework. Current Gerontology and Geriatrics Research 873937.