Neurophyisological and neurocognitive endophenotypes for schizophrenia genetics research

Processing speed is associated with differences in IQ and cognitive profiles between patients with schizophrenia and their healthy siblings

BACKGROUND

Processing speed turns out to be the central area of research on cognition in schizophrenia. So far the relationship between this dimension and the IQ level of patients and their healthy siblings has not been investigated.

AIM

To investigate the differences in cognitive speed in patients with schizophrenia and their healthy siblings, and to determine whether cognitive speed as a covariate affects differences in IQ and cognitive profiles between groups.

METHODS

Forty-seven inpatients diagnosed with schizophrenia according to DSM-IV (SCH) and their 36 healthy siblings (HSB) were tested with cognitive speed tasks according to Bartzokis et al. method and Wechsler Intelligence Scale. Additional control for the possible impact of antipsychotic drugs and selected demographic variables on the cognitive performance was taken into account.

RESULTS

The siblings scored significantly higher in the cognitive speed task (p < 0.01) than patients, the WAIS-R cognitive test profiles were also significantly different in two ways: between groups, and between single test results in each of the assessed groups. The interaction effect: ANOVA, F(10, 770) = 2.798, p = 0.002. Similarly, the Performance and Full Scale IQs were significantly different, at p < 0.01. After controlling for cognitive speed, all significant differences no longer exist: e.g. Full Scale IQ, p = 0.459.

CONCLUSIONS

Significant differences in cognitive speed between patients and their healthy siblings generate the differences in the cognitive profile assessed with Wechsler Intelligence Scale. Some problems of cognitive speed diagnosis and further research on the cognitive schizophrenia endophenotype were discussed.

Comprehensive neurocognitive endophenotyping strategies for mouse models of genetic disorders

There is a need for refinement of the current behavioral phenotyping methods for mouse models of genetic disorders. The current approach is to perform a behavioral screen using standardized tasks to define a broad phenotype of the model. This phenotype is then compared to what is known concerning the disorder being modeled. The weakness inherent in this approach is twofold: First, the tasks that make up these standard behavioral screens do not model specific behaviors associated with a given genetic mutation but rather phenotypes affected in various genetic disorders; secondly, these behavioral tasks are insufficiently sensitive to identify subtle phenotypes. An alternate phenotyping strategy is to determine the core behavioral phenotypes of the genetic disorder being studied and develop behavioral tasks to evaluate specific hypotheses concerning the behavioral consequences of the genetic mutation. This approach emphasizes direct comparisons between the mouse and human that facilitate the development of neurobehavioral biomarkers or quantitative outcome measures for studies of genetic disorders across species.