Book contents
- Frontmatter
- Contents
- Contact information for authors
- Biography for Jacobus Donders and Scott J. Hunter
- Introduction
- Section I Theory and models
- 1 A lifespan review of developmental neuroanatomy
- 2a Developmental models in pediatric neuropsychology
- 2b Models of developmental neuropsychology: adult and geriatric
- 3 Multicultural considerations in lifespan neuropsychological assessment
- 4 Structural and functional neuroimaging throughout the lifespan
- Section II Disorders
- Index
- Plate section
- References
2a - Developmental models in pediatric neuropsychology
from Section I - Theory and models
Published online by Cambridge University Press: 07 May 2010
Book contents
- Frontmatter
- Contents
- Contact information for authors
- Biography for Jacobus Donders and Scott J. Hunter
- Introduction
- Section I Theory and models
- 1 A lifespan review of developmental neuroanatomy
- 2a Developmental models in pediatric neuropsychology
- 2b Models of developmental neuropsychology: adult and geriatric
- 3 Multicultural considerations in lifespan neuropsychological assessment
- 4 Structural and functional neuroimaging throughout the lifespan
- Section II Disorders
- Index
- Plate section
- References
Summary
“A single good model is worth a thousand empirical studies”
James Heckman (Nobel Prize, Economics, 2000) quoted by David Kirp“Good models are like good tools: they do a certain job reasonably well … simple models that work well for a wide variety of jobs are especially valuable … (they yield) islands of conceptual clarity in the midst of otherwise mind-numbing complexity and diversity”
Richerson and BoydIntroduction
On what grounds does a hard-nosed number-crunching economist make such a claim? What does he mean? What are the implications for the elaboration of the knowledge base? For clinical practice?
A model is a tool for thinking, for organizing a body of data into a theoretically coherent construct whose validity can be tested. Thinking in both research and clinical arenas is based on a constant interaction between models and evidence. The challenge of empirical data (evidence) is that at any one point there may be much to make sense of. Data are not always internally consistent; and, until established by multiple replications across data sets, evidence is constantly subject to discussion, argument, and change. Models may not be subject to as rapid change as the evidence base. They cannot, nonetheless, be static: as evidence accumulates, models must be scrutinized and reformulated.
There are two major sources of change in science.
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- Information
- Publisher: Cambridge University PressPrint publication year: 2010
References
. The Sandbox Investment. The Preschool Movement and Kids-First Politics. Cambridge, MA: Harvard University Press; 2007.Google Scholar
, . Not by Genes Alone. How Culture Transformed Human Evolution. Chicago, IL: University of Chicago Press; 2004.CrossRefGoogle Scholar
. Evolutionary psychology, cognitive science and dynamical systems. Building an integrative paradigm. Curr Dir Psychol Sci. 2001;10:13–17.CrossRefGoogle Scholar
, , , . Human brain evolution: insights from microarrays. Nat Rev 2004;5(11):850–60.CrossRefGoogle ScholarPubMed
, . Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. Cambridge, MA: MIT Press; 2005.Google Scholar
. Beyond Modularity. A Developmental Perspective on Cognitive Science. Cambridge, MA: MIT Press; 1992.Google Scholar
. Animal Species and Evolution. Cambridge, MA: Harvard University Press; 1963.CrossRefGoogle Scholar
. The modern conception of the individual: notes on its genesis and that of concomitant institutions. Contrib Indian Sociol 1965;8:13–61.Google Scholar
, . Social precursors to individual cognitive functioning: the problem of units of analysis. In , ed. Vygotsky and the Social Formation of Mind. Cambridge, MA: Harvard University Press; 1985.Google Scholar
. Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington DC: National Academy Press; 2001.Google Scholar
, Judgment under uncertainty: heuristics and biases. Science 1974;185(4157):1124–31.CrossRefGoogle ScholarPubMed
. Developmental neuropsychological assessment. In , , , eds. Pediatric Neuropsychology; Research, Theory, and Practice. New York: Guilford Press; 2000: 405–38.Google Scholar
, . Paleoclimatic variation and brain expansion during human evolution. Human Nat 2007;18(2):109–24.CrossRefGoogle ScholarPubMed
. A Brain for All Seasons: Human Evolution and Abrupt Climate Change. Chicago, IL: University of Chicago Press; 2002.Google Scholar
. Quality of early care and the buffering of neuroendocrine stress reactions: potential effects on the developing human brain. Prev Med 1998;27:208–11.CrossRefGoogle ScholarPubMed
, , , , . Early experience in humans is associated with changes in neuropeptides critical for regulating social behavior. Proc Nat Acad Sci USA 2005;102(47):17237–40.CrossRefGoogle Scholar
, ed. The Effects of Early Adversity on Neurobehavioral Development. Mahwah, NJ: Lawrence Erlbaum Associates; 2000.
, . Meaningful Differences in the Everyday Experiences of Young American Children. Baltimore, MD: Brookes; 2005.Google Scholar
, , , , , . Bidirectional child-family influences on outcomes of traumatic brain injury in children. J Int Neuropsychol Soc 2001;7(6):755–67.CrossRefGoogle ScholarPubMed
, , Double dissociations in developmental disorders? Theoretically misconceived, empirically dubious. Cortex. 2003 Feb;39(1):161–3.CrossRefGoogle ScholarPubMed
, . The psychological foundations of culture. In , , , eds. The Adapted Mind: Evolutionary Psychology and the Generation of Culture. New York: Oxford University Press; 1992: 19–36.Google Scholar
, . Evolutionary psychology, meet developmental neurobiology: against promiscuous modularity. Brain Mind 2000;1:307–25.CrossRefGoogle Scholar
. Development of connectional diversity and specificity in the mammalian brain by the pruning of collateral projections. Curr Op Neurobiol 1992;2(1):70–7.CrossRefGoogle ScholarPubMed
. Cognitive neuropsychology and developmental disorders: uncomfortable bedfellows. Q J Exp Psychol 1997;50a(4):899–923.CrossRefGoogle ScholarPubMed
, , Mapping functional brain development: building a social brain through interactive specialization. Dev Psychol 2009;45(1):151–9.CrossRefGoogle ScholarPubMed
, , , , , . Rethinking innateness. A Connectionist Perspective on Development. Cambridge, MA: MIT Press; 1996.Google Scholar
. The concept and development of general intellectual ability. In , , eds. Child Neuropsychology, Concepts, Theory and Practice. Malden, MA: Wiley–Blackwell; 2008.Google Scholar
, , , , , , et al. Psychiatric epigenetics: a new focus for the new century. Mol Psychiatry 2000;5(4):342–6.CrossRefGoogle ScholarPubMed
, . Genetics and general cognitive ability (g). Trends Cogn Sci 2002;6(4):169–76.CrossRefGoogle Scholar
, . Generalist genes: implications for the cognitive sciences. Trends Cogn Sci 2006;10(5):198–203.CrossRefGoogle ScholarPubMed
, , , , , , et al. Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 2003;301(5631):386–9.CrossRefGoogle ScholarPubMed
, , , . The plastic human brain cortex. Annu Rev Neurosci 2005;28:377–401.CrossRefGoogle ScholarPubMed
, . Cortical plasticity: from synapses to maps. Annu Rev Neurosci 1998;21:149–86.CrossRefGoogle ScholarPubMed
, , , , What blindness can tell us about seeing again: merging neuroplasticity and neuroprostheses. Nat Rev Neurosci 2005;6(1):71–7.CrossRefGoogle ScholarPubMed
Plasticity and functional recovery in neurology. Clin Med 2005;5(4):368–73.CrossRefGoogle ScholarPubMed
Phantom limb pain: characteristics, causes and treatment. Lancet 2002;1:182–9.CrossRefGoogle ScholarPubMed
, , , , , . Plasticity in the motor system related to therapy-induced improvement of movement after stroke. Neuroreport 1999;10(4):807–10.CrossRefGoogle ScholarPubMed
, . Gray matter differences between musicians and nonmusicians. Ann N Y Acad Sci 2003;999:514–7.CrossRefGoogle ScholarPubMed
, , , , A functional MRI study of high-level cognition. I. The game of chess. Cogn Brain Res 2003;16:26–31.CrossRefGoogle ScholarPubMed
, , , Cortical activity of skilled performance in a complex sports related motor task. Eur J Appl Physiol 2008;104(4):625–31.CrossRefGoogle Scholar
Visual cortex activity in early and late blind people. J Neurosci 2003;23(10):4005–11.CrossRefGoogle ScholarPubMed
The fundamentals of brain development. Integrating Nature and Nurture. Cambridge, MA: Harvard University Press; 2008.Google Scholar
. Contrasting concepts of the critical period for language. In , , eds. The Epigenesis of Mind: Essays on Biology and Cognition. Hillsdale, NJ: Lawrence Erlbaum Associates; 1991: 111–31.Google Scholar
, The Myelogenetic Cycles of Regional Maturation of the Brain. Oxford: Blackwell; 1967.Google Scholar
, , , , , , et al. Structural maturation of neural pathways in children and adolescents: in vivo study. Science 1999;283(5409):1908–11.CrossRefGoogle ScholarPubMed
, , , , , . Mapping cortical change across the human life span. Nat Neurosci 2003;6(3):309–15.CrossRefGoogle ScholarPubMed
, , , , , , et al. Diffusion tensor tractography quantification of the human corpus callosum fiber pathways across the lifespan. Brain Res 2009;1249:91–100.CrossRefGoogle ScholarPubMed
, . Executive capacities from a developmental perspective. In , Understanding Executive Function: Implications and Opportunities for the Classroom. New York: Guilford Publications; 2007.Google Scholar
Evolution of prefrontal cortex. In , , , eds. Development of the Prefrontal Cortex. Baltimore, MD: Brookes; 1997: 9–26.Google Scholar
. Dimensions of executive functions in normal and abnormal development. In , , , eds. Development of the Prefrontal Cortex. Baltimore, MD: Brookes; 1997: 265–81.Google Scholar
, . Evolution of the brain and intelligence. Trends Cogn Sci 2005;9(5):250–7.CrossRefGoogle ScholarPubMed
Principles of Behavioral and Cognitive Neurology. New York: Oxford University Press; 2000.Google Scholar
, Brain development during puberty: state of the science. Dev Sci 2006;9(1):11–14.CrossRefGoogle ScholarPubMed
, , , . A model of neurocognitive function in spina bifida over the life span. J Int Neuropsychol Soc 2006;12(2):285–96.CrossRefGoogle ScholarPubMed
, , , , , , et al. Differential effects of unilateral lesions on language production in children and adults. Brain Lang 2001;79:223–65.CrossRefGoogle ScholarPubMed
Cognitive development in children born preterm: implications for theories of brain plasticity following early injury. Dev Psychopathol 2003;15(4):1017–47.CrossRefGoogle ScholarPubMed
Program Guide – Newborn Individualized Developmental Care and Assessment Program (NIDCAP): An Education and Training Program for Health Care Professionals. Boston: NIDCAP Federation International 2008.Google Scholar
, What do children do when they cannot go to school? In , , eds. Culture and Competence: Contexts of Life Success. Washington DC: American Psychological Association; 2004: 23–53.CrossRefGoogle Scholar
, , Cognitive processing in literate and illiterate subjects: a review of some recent behavioral and functional neuroimaging data. Scand J Psychol 2001;42(3):251–67.CrossRefGoogle ScholarPubMed
, , , , , , et al. Illiteracy and brain damage–1. Aphasia testing in culturally contrasted populations (control subjects). Neuropsychologia 1987;25(1B):231–45.CrossRefGoogle Scholar
, , , , , , et al. Effect of literacy on neuropsychological test performance in nondemented, education-matched elders. J Int Neuropsychol Soc 1999;5(3):191–202.CrossRefGoogle ScholarPubMed
, , , , , , et al. A cultural effect on brain function. Nat Neurosci 2000;3(1):91–6.CrossRefGoogle ScholarPubMed
Development of the ability to use recall to guide action, as indicated by infants' performance on AB. Child Dev 1985;56(4):868–83.CrossRefGoogle ScholarPubMed
The development and neural bases of memory functions as indexed by the AB and delayed response tasks in human infants and infant monkeys. Ann N Y Acad Sci 1990;608:267–309; discussion 309–17.CrossRefGoogle ScholarPubMed
Evidence for the importance of dopamine for prefrontal cortex functions early in life. Phil Trans R Soc Lond 1996;351(1346):1483–93; discussion 94.CrossRefGoogle ScholarPubMed
, , , Prefrontal cortex cognitive deficits in children treated early and continuously for PKU. Monogr Soc Res Child Dev 1997;62(4):i–v, 1–208.CrossRefGoogle ScholarPubMed
Consequences of variations in genes that affect dopamine in prefrontal cortex. Cerebral Cortex 2007;17 Suppl 1:i161–70.CrossRefGoogle Scholar
, , , Genetic and neurochemical modulation of prefrontal cognitive functions in children. Am J Psychiatry 2004;161(1):125–32.CrossRefGoogle ScholarPubMed
, , , , The neurocognitive profile of Williams Syndrome: a complex pattern of strengths and weaknesses. J Cogn Neurosci 2000;12 Suppl 1:7–29.CrossRefGoogle ScholarPubMed
, , , , Cognitive modularity and genetic disorders. Science 1999;286(5448):2355–8.CrossRefGoogle ScholarPubMed
, , , Are numerical impairments syndrome specific? Evidence from Williams syndrome and Down's syndrome. J Child Psychol Psychiatry 2006;47(2):190–204.CrossRefGoogle ScholarPubMed
, , , , , , et al. Social outcomes in childhood brain disorder: a heuristic integration of social neuroscience and developmental psychology. Psychol Bull 2007;133(3):535–56.CrossRefGoogle ScholarPubMed
The symbolic species. The Co-evolution of Language and the Brain. New York: Norton; 1997.Google Scholar
Words in a sea of sounds: the output of infant statistical learning. Cognition 2001;81(2):149–69.CrossRefGoogle Scholar
, , Fractionating language: different neural subsystems with different sensitive periods. Cerebral Cortex 1992;2(3):244–58.CrossRefGoogle ScholarPubMed
A theory of neurolinguistic development. Brain Language 1997;58(2):265–326.CrossRefGoogle ScholarPubMed
, Educating the Human Brain. Washington DC: American Psychological Association; 2007.CrossRefGoogle Scholar
, , , , , , et al. The development of executive function in early childhood. Monogr Soc Res Child Dev 2003;68:vii–137.CrossRefGoogle ScholarPubMed
, Making the transition to adulthood for individuals with learning disorders. In , , , eds. Adult Learning Disorders: Contemporary Issues. New York: Psychology Press; 2008: 363–88.Google Scholar
, Developmental neuropsychological assessment. The systemic approach. In , , , eds. Neuromethods, vol. 17: Neuropsychology. Clifton, NJ: Humana Press; 1990: 311–71.Google Scholar
Evolutionary versus prototype analyses of the concept of disorder. J Abnorm Psychol 1999;108:374–99.CrossRefGoogle ScholarPubMed
Brain reserve capacity on symptom onset after brain injury: a formulation and review of evidence for threshold theory. Neuropsychology 1993;7:273–95.CrossRefGoogle Scholar
What is cognitive reserve? Theory and research application of the reserve concept. J Int Neuropsychol Soc 2002;8(3):448–60.CrossRefGoogle ScholarPubMed
, , , Brain reserve capacity, cognitive reserve capacity, and age-based functional plasticity after congenital and acquired brain injury in children. In , ed. Cognitive Reserve. Theory and Applications. New York: Taylor and Francis; 2007: 53–83.Google Scholar
Resilience in developing systems: progress and promise as the fourth wave rises. Dev Psychopathol 2007;19:921–30.CrossRefGoogle ScholarPubMed
, Psychosocial factors and cardiovascular diseases. Annu Rev Public Health 2005;26:469–500.CrossRefGoogle ScholarPubMed
, , , Social networks, social integration, and social engagement determine cognitive decline in community-dwelling Spanish older adults. J Gerontol B Psychol Sci Soc Sci 2003;58:S93–S100.CrossRefGoogle ScholarPubMed
, Genetics of brain structure and intelligence. Annu Rev Neurosci 2005;28:1–23.CrossRefGoogle ScholarPubMed
, Individual differences and cognitive models of the mind: using the differentiation hypothesis to distinguish general and specific cognitive processes. In , , , eds. Measuring the Mind: Speed, Control and Age. New York: Oxford University Press; 2005: 89–113.CrossRefGoogle Scholar
, , Food-caching western scrub-jays keep track of who was watching when. Science 2006;312(5780):1662–5.CrossRefGoogle Scholar
, , , , , , et al. Exploring the Williams syndrome face-processing debate: the importance of building developmental trajectories. J Child Psychol Psychiatry 2004;45(7):1258–74.CrossRefGoogle ScholarPubMed
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