Genes, Brains, and Human Potential The Science and Ideology of Intelligence

(sharon) #1

  1. HOW THE BRAIN MAKES POTENTIAL 361

  2. C. Th omas, F. Q. Yec, M. O. Irfanoglu, P. Modia, K. S. Saleem, et al., “Anatomical Ac-
    curacy of Brain Connections Derived from Diff usion MRI Tractography Is Inherently
    Limited,” Proceedings of the National Acad emy of Sciences, USA 111 (June 2014):
    16574–16579.

  3. M. Rutter and A. Pickles, “Annual Research Review: Th reats to the Validity of Child
    Psy chol ogy and Psychiatry,” Journal of Child Psy chol ogy and Psychiatry 57 (March
    2016): 398–416, 406.

  4. K. Martinez, S. K. Madsen, A. A. Joshi, S. H. Joshi, F. J. Román, et al., “Reproducibil-
    ity of Brain- Cognition Relationships Using Th ree Cortical Surface- Based Protocols:
    An Exhaustive Analy sis Based on Cortical Th ickness,” Human Brain Mapping 36
    (August 2015): 3227–3245, 3227.

  5. C. I. Bargmann and E. Marde, “From the Connectome to Brain Function,” Nature
    Methods, 10 (June 2013): 483–490, 484.

  6. H. G. Schnack, H. E. va n Ha ren, R. M. Brouwer, A. Eva ns, S. Durston, et a l., “Cha nges
    in Th ickness and Surface Area of the Human Cortex and Th eir Relationship with
    Intelligence,” Ce re bral Cortex 25 (June 2015): 1608–1617, 1609.

  7. R. Haier, R. Colom, D. H. Schroeder, C. A. Condon, C. Tang, et al., “Gray Matter and
    Intelligence Factors: Is Th ere a Neuro- g? Intelligence 37 (January 2009): 136–144, 136.

  8. G. Buzsáki and K. Mizuseki, “Th e Log- Dynamic Brain: How Skewed Distributions Af-
    fect Network Operations,” Nature Reviews Neuroscience 15 (April 2014): 264–278, 264.

  9. D. M. Barch and T. Yarkoni, “Introduction to the Special Issue on Reliability and
    Replication in Cognitive and Aff ective Neuroscience Research,” Cognitive, Aff ective
    and Behavioral Neuroscience 13 (December 2013): 687–689, 687.

  10. C. I. Bargmann and E. Marde, “From the Connectome to Brain Function,” 488.

  11. M. Hawrylycz, C. Dang, C. Koch, and H. Zeng, “A Very Brief History of Brain Atlases,”
    in Th e Future of the Brain: Essays by the World’s Leading Neuroscientists, ed. G. Marcus
    and J. Freeman (Prince ton, N.J.: Prince ton University Press, 2014), 3–16, 11.

  12. S. R. Quartz and T. J. Sejnowsk i, “Th e Neural Basis of Cognitive Development: A Con-
    structivist Manifesto,” Behavioral and Brain Sciences 20 (December 1997): 537–596,
    537.

  13. H. Lee, J. T. Devlin, C. Shakeshaft , L. H. Stewart, A. Brennan, et al., “Anatomical
    Traces of Vocabulary Acquisition in the Adolescent Brain,” Journal of Neuroscience
    27 (January 2007): 1184–1189.

  14. A. May, “Experience- Dependent Structural Plasticity in the Adult Human Brain,”
    Tre n d s i n C o g n i t i v e S c i e n c e s 15 (October 2011): 475–482, 475. See also M. Lövdén,
    E.  Wenger, J. Mårtensson, U. Lindenberger, and L. Bäckman, “Structural Brain
    Plasticity in Adult Learning and Development,” Neuroscience and Biobehavioral
    Reviews 37 (June 2013): 2296–2310.

  15. A. May, “Experience- Dependent Structural Plasticity,” 475.

  16. J. Freund, A. M. Brandmaier, L. Lewejohann, I. Kirstel, M. Kritzler, et  al., “Emer-
    gence of Individuality in Ge ne tically Identical Mice,” Science 340 (May 2013): 756–759,
    756.


This content downloaded from 139.184.14.159 on Tue, 17 Oct 2017 13:59:14 UTC
Free download pdf