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. Author manuscript; available in PMC: 2014 Sep 19.
Published in final edited form as: Am J Psychiatry. 2014 Jan 1;171(1):9–12. doi: 10.1176/appi.ajp.2013.13101303

Zeroing in on early cognitive development in schizophrenia

Dwight Dickinson *
PMCID: PMC4169199  NIHMSID: NIHMS625757  PMID: 24399421

Thoughts about the role of development in schizophrenia have evolved in recent decades. Early formulations of the “neurodevelopmental hypothesis” suggested mechanisms whereby “probably congenital and static” neurophysiological insults might remain for the most part silent, behaviorally, until the onset of schizophrenia in late adolescence or early adulthood (1). Recent versions reflect a more dynamic view of the densely interacting effects of biology and environment on behavior over the course of development (2). They also emphasize the now extensive evidence that some children who will later have schizophrenia show marked abnormalities in motor, cognitive, emotional, and social development years before the onset of psychotic symptoms (3). Among these developmental manifestations, an increasing lagin intellectual development during childhood may show some specificity in prediction of later psychosis (4), while motor, emotional, and social problems seem to be nonspecific risk factors for a variety of adult neuropsychiatric outcomes (3).

At the heart of the literature on cognitive predictors of later schizophrenia (see (5, 6) for reviews) are a number of longitudinal studies of population-based birth cohorts, including the Dunedin Multidisciplinary Health and Development Study (7). The cohort comprises 1,037 individuals born between 1972 and 1973 in Dunedin, New Zealand (91% of eligible births), who have undergone repeated assessments of health, cognition and behavior, with the first follow-up at age 3 and the most recent at age 38. In this issue of the Journal, Meier et al. (8) describe new Dunedin cohort analyses, extending an earlier round of analyses from Reichenberg et al. (9) that were described in the Journal in 2010. Both studies found that childhood IQ was lower, by approximately 0.5 SD relative to healthy peers, in cohort members who were later diagnosed with schizophrenia. However, for both reports, the central aims were to unpack this overall finding in order to address lingering questions about schizophrenia-related cognitive development. (1.) What course does cognitive development follow in people who will have this disorder – during childhood, and from pre-morbid to post-onset timeframes? (2.) Is developmental course similar across domains of cognitive performance? (3.) Is there a particular pattern of cognitive development that shows specificity for the development of schizophrenia?

Reichenberg et al. explored these questions using Dunedin data from four IQ assessments completed by age 13(9). Across a number of IQ battery subtests, there were two distinct patterns of performance in 35 individuals from the cohort who met rigorous criteria for schizophrenia by age 32: an early deficit in verbal and visual knowledge acquisition and simple reasoning that persisted, but did not worsen, across childhood assessments (which the authors labeled “static deficit”); and a lag in development for speeded performance, working memory and more complex problem-solving that emerged after age 7 and worsened by age 13 (“dynamic deficit”). This divided pattern was not apparent in cohort controls or cohort members with persistent depression. Interestingly, within the schizophrenia group, impairment on the static deficit measures was strongly correlated with lag on the dynamic deficit measures.

Meier et al. (8) have refined and extended these findings. Current analyses incorporated cognitive assessments completed by Dunedin cohort members at age 38 that were not available to Reichenberg et al., and examined additional comparison groups. Investigators report that the substantial childhood IQ impairment in cohort members who developed schizophrenia increased significantly (by ~6 IQ points) between ages 13 and 38. The divergence in IQ performance was driven by speeded, non-verbal IQ subtests, and was paralleled by declines of similar magnitude in non-IQ-battery measures of learning, processing speed, and motor speed. Importantly, Meier et al. added evidence that a widening lag in cognitive development was specific to schizophrenia –finding little or no evidence of IQ subtest or neuropsychological change from age 13 to 38 among controls, cohort members with depression, those who showed mild cognitive impairment as children, or individuals matched on childhood risk factors for schizophrenia (family history, SES, cognitive impairment) who did not develop the disorder as adults.

In sum, the Meier and Reichenberg studies suggest that two main facets of the broad adult cognitive impairment in schizophrenia (10) follow distinct developmental progressions up to and after the onset of illness. Members of the Dunedin cohort who developed schizophrenia showed very early impairment on IQ subtests tapping verbal and visual knowledge and simple reasoning that remained “static” through early teenage years and well into adulthood (9). In contrast, deficits in speeded performance and more demanding learning and problem-solving were “dynamic” – emerging after age 7, worsening by age 13, and lagging further relative to unaffected peers by age 38. There was very little evidence of this divided pattern of cognitive development in comparison groups.

As Meier et al. suggest (8), this division of measures into static and dynamic deficit groupings aligns generally with the division of cognitive performance into more “crystallized” and more “fluid” dimensions (11, 12). Crystallized operations make use of general knowledge and experience, for example in correctly pronouncing irregular words or identifying drawings of common objects. Developmentally – although knowledge accumulates throughout life – the neural systems that support crystallized operations mature fairly early and are thought to be resistant to aging and later brain dysfunction, which has given rise to the practice of estimating “premorbid” cognitive ability through measures of crystallized ability (13). Fluid performance depends on the abilities to work quickly, think abstractly, and solve novel problems, independent of acquired knowledge. Fluid abilities are thought to develop gradually to a peak in young adulthood and decline gradually thereafter (14). The Dunedin studies frame the question whether dissociated or interrelated pathophysiological processes underlie the two trajectories of cognitive development in schizophrenia but do not pursue it at length.

By now, however, it probably should be a corollary of the neurodevelopmental hypothesis of schizophrenia that strong dissociations among higher-order cognitive processes are unlikely. The “neurodevelopmental disorder” label presupposes that the cognitive impairment seen in adults arises from atypical interactions and compensatory responses across the range of cognitive processes (crystallized/fluid; static/dynamic; more impaired/less impaired) throughout development (15). The strong associations in the Dunedin schizophrenia group between performance on static deficit measures and dynamic deficit measures, reported by Reichenberg et al. (9), probably reflect these interdependencies. Likewise, adult pathophysiology is doubtless the product of complex interactions and compensations over developmental time. Clearly, genes encode protein building blocks rather than integrated behaviors, and their influence on cognition most likely emerges very gradually through low-level and widely-acting mechanisms (e.g., neuronal migration and synaptic plasticity)(15), interacting with environmental (16) and random influences.

The field continues to struggle toward more convincing models of the etiology of schizophrenia. The challenge is compounded by the diversity of trajectories preceding acute illness (17, 18) and the vast heterogeneity of adult clinical presentation (19). The Dunedin study and similar longitudinal designs provide much-needed detail about behavioral development in schizophrenia. Cross-disciplinary efforts to link these behavioral patterns with atypical development of molecular, cellular, and neural systems are another critical step. But we are still at an early stage in the evolution of the neurodevelopmental hypothesis.

References

  • 1.Weinberger DR. Implications of normal brain development for the pathogenesis of schizophrenia. Arch Gen Psychiatry. 1987;44:660–669. doi: 10.1001/archpsyc.1987.01800190080012. [DOI] [PubMed] [Google Scholar]
  • 2.Weinberger DR, Levitt P. Neurodevelopmental origins of schizophrenia. In: Weinberger DR, Harrison P, editors. Schizophrenia. 3. Oxford: Wiley-Blackwell; 2011. pp. 579–587. [Google Scholar]
  • 3.Rapoport JL, Addington AM, Frangou S, Psych MR. The neurodevelopmental model of schizophrenia: update 2005. Mol Psychiatry. 2005;10:434–449. doi: 10.1038/sj.mp.4001642. [DOI] [PubMed] [Google Scholar]
  • 4.Kremen WS, Faraone SV, Toomey R, Seidman LJ, Tsuang MT. Sex differences in self-reported schizotypal traits in relatives of schizophrenic probands. Schizophr Res. 1998;34:27–37. doi: 10.1016/s0920-9964(98)00081-4. [DOI] [PubMed] [Google Scholar]
  • 5.Dickson H, Laurens KR, Cullen AE, Hodgins S. Meta-analyses of cognitive and motor function in youth aged 16 years and younger who subsequently develop schizophrenia. Psychol Med. 2012;42:743–755. doi: 10.1017/S0033291711001693. [DOI] [PubMed] [Google Scholar]
  • 6.Woodberry KA, Giuliano AJ, Seidman LJ. Premorbid IQ in schizophrenia: a meta-analytic review. Am J Psychiatry. 2008;165:579–587. doi: 10.1176/appi.ajp.2008.07081242. [DOI] [PubMed] [Google Scholar]
  • 7.Cannon M, Caspi A, Moffitt TE, Harrington H, Taylor A, Murray RM, Poulton R. Evidence for early-childhood, pan-developmental impairment specific to schizophreniform disorder: results from a longitudinal birth cohort. Arch Gen Psychiatry. 2002;59:449–456. doi: 10.1001/archpsyc.59.5.449. [DOI] [PubMed] [Google Scholar]
  • 8.Meier MH, Caspi A, Reichenberg A, Keefe RS, Fisher HL, Harrington H, Houts R, Poulton R, Moffitt TE. Neuropsychological Decline in Schizophrenia From the Premorbid to the Post onset Period: Evidence From a Population-Representative Longitudinal Study. Am J Psychiatry. 2013 doi: 10.1176/appi.ajp.2013.12111438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Reichenberg A, Caspi A, Harrington H, Houts R, Keefe RS, Murray RM, Poulton R, Moffitt TE. Static and dynamic cognitive deficits in childhood preceding adult schizophrenia: a 30-year study. Am J Psychiatry. 2010;167:160–169. doi: 10.1176/appi.ajp.2009.09040574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Schaefer J, Giangrande E, Weinberger DR, Dickinson D. The global cognitive impairment in schizophrenia: Consistent over decades and around the world. Schizophr Res. 2013;150:42–50. doi: 10.1016/j.schres.2013.07.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Carroll JB. Human Cognitive Abilities: A Survey of Factor-Analytic Studies. New York: Cambridge University Press; 1993. [Google Scholar]
  • 12.Horn JL, Cattell RB. Age differences in fluid and crystallized intelligence. Acta Psychol (Amst) 1967;26:107–129. doi: 10.1016/0001-6918(67)90011-x. [DOI] [PubMed] [Google Scholar]
  • 13.Gladsjo JA, Heaton RK, Palmer BW, Taylor MJ, Jeste DV. Use of oral reading to estimate premorbid intellectual and neuropsychological functioning. J Int Neuropsychol Soc. 1999;5:247–254. doi: 10.1017/s1355617799533079. [DOI] [PubMed] [Google Scholar]
  • 14.Fry AF, Hale S. Relationships among processing speed, working memory, and fluid intelligence in children. Biol Psychol. 2000;54:1–34. doi: 10.1016/s0301-0511(00)00051-x. [DOI] [PubMed] [Google Scholar]
  • 15.Karmiloff-Smith A. Nativism versus neuroconstructivism: rethinking the study of developmental disorders. Dev Psychol. 2009;45:56–63. doi: 10.1037/a0014506. [DOI] [PubMed] [Google Scholar]
  • 16.Lederbogen F, Kirsch P, Haddad L, Streit F, Tost H, Schuch P, Wust S, Pruessner JC, Rietschel M, Deuschle M, Meyer-Lindenberg A. City living and urban upbringing affect neural social stress processing in humans. Nature. 2011;474:498–501. doi: 10.1038/nature10190. [DOI] [PubMed] [Google Scholar]
  • 17.Cole VT, Apud JA, Weinberger DR, Dickinson D. Using latent class growth analysis to form trajectories of premorbid adjustment in schizophrenia. J Abnorm Psychol. 2012;121:388–395. doi: 10.1037/a0026922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Reichenberg A, Weiser M, Rapp MA, Rabinowitz J, Caspi A, Schmeidler J, Knobler HY, Lubin G, Nahon D, Harvey PD, Davidson M. Elaboration on premorbid intellectual performance in schizophrenia: premorbid intellectual decline and risk for schizophrenia. Arch Gen Psychiatry. 2005;62:1297–1304. doi: 10.1001/archpsyc.62.12.1297. [DOI] [PubMed] [Google Scholar]
  • 19.Tsuang MT, Lyons MJ, Faraone SV. Heterogeneity of schizophrenia. Conceptual models and analytic strategies. Br J Psychiatry. 1990;156:17–26. doi: 10.1192/bjp.156.1.17. [DOI] [PubMed] [Google Scholar]

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