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Neurocognitive performance stability in a multiplex multigenerational study of schizophrenia
David R Roalf1, Ruben C Gur, Laura Almasy
1Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. roalf@upenn.edu
Schizophrenia patients show stable accuracy but slower speed over time. Intra-individual variability in speed increased for patients and decreased for relatives, suggesting potential genetic markers for schizophrenia risk.
Area of Science:
- Neuroscience
- Psychiatry
- Genetics
Background:
- Cognitive deficits are heritable and distinguish schizophrenia risk.
- Previous longitudinal studies on neurocognitive stability are limited in duration and methodology.
- Traditional studies often focus on average performance, overlooking variability.
Purpose of the Study:
- To examine the neurocognitive stability in patients with schizophrenia, unaffected relatives, and healthy controls over approximately 5 years.
- To assess both mean performance (accuracy, speed) and intra-individual variability (IIV) using a computerized neurocognitive battery (CNB).
- To investigate patterns of change in performance and IIV within families affected by schizophrenia.
Main Methods:
- A longitudinal study involving 34 patients with schizophrenia, 65 unaffected relatives, and 45 healthy controls.
- Utilized a computerized neurocognitive battery (CNB) to measure performance accuracy and speed, as well as intra-individual variability (IIV).
- Data collected over approximately 5 years to track changes in neurocognitive measures.
Main Results:
- Patients with schizophrenia maintained stable accuracy but demonstrated slower performance across multiple neurocognitive domains compared to controls.
- Patients exhibited higher across-task IIV in speed compared to family members, who showed lower IIV.
- Patients showed an increase in IIV over time, while unaffected family members displayed a decrease in IIV.
Conclusions:
- Mean performance and IIV of speed in CNB may serve as indicators of genetic susceptibility to schizophrenia.
- Dissociable patterns of IIV change in speed between patients and relatives offer insights into disease mechanisms.
- Neurocognitive measures, including variability, provide valuable information for understanding schizophrenia risk and progression.
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