Associating functional recovery with neurocognitive profiles identified using partially ordered classification models

Judith Jaeger, Curtis Tatsuoka, Stefanie Berns, Ferenc Varadi, P. Czobor, Sarah Uzelac

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Neurocognitive deficits are a core feature of schizophrenia and a significant cause of functional disability. However, targeting these deficits with new treatment approaches will only yield functional improvements if those cognitive operations that are responsible for different dimensions of functional recovery can be identified. A major challenge is that conventional neuropsychological tests, the most practical tools for broadly sampling cognitive functions in treatment trials, are polyfactorial, so that task performance is influenced by multiple cognitive operations. Hence, it is difficult to pinpoint exactly for which cognitive operations a low scoring subject may have poor functionality. We have previously applied in a neuropsychological test battery administered to 220 patients having schizophrenia or schizoaffective disorder, Bayesian statistical methods (yielding partially ordered sets, or posets) designed to mimic the expert analysis of a neuropsychologist by classifying patients into discrete groupings or "states" each having a unique cognitive profile. Here, we report on the association of attributes describing these states (viz. working memory, capacity for divergent thinking, cognitive flexibility and psychomotor speed) with two domains of functional outcome (work/education and residential functioning) rated up to 18 months later. After multiplicity correction, only working memory was associated with work/education outcome. While working memory was not associated with residential outcome, the remaining three attributes were. These findings suggest that different neurocognitive operations may be responsible for different outcome domains. Findings support the use of the poset methodology for clarifying patterns of relationships between discrete neurocognitive attributes and domains of functional outcome.

Original languageEnglish
Pages (from-to)40-48
Number of pages9
JournalSchizophrenia Research
Volume85
Issue number1-3
DOIs
Publication statusPublished - Jul 2006

Fingerprint

Short-Term Memory
Neuropsychological Tests
Schizophrenia
Education
Bayes Theorem
Task Performance and Analysis
Psychotic Disorders
Cognition
Therapeutics

Keywords

  • Bayesian methods
  • Clustering techniques
  • Functional recovery
  • Independent living
  • Neurocognitive deficits
  • Vocational functioning

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Behavioral Neuroscience
  • Biological Psychiatry
  • Neurology
  • Psychology(all)

Cite this

Associating functional recovery with neurocognitive profiles identified using partially ordered classification models. / Jaeger, Judith; Tatsuoka, Curtis; Berns, Stefanie; Varadi, Ferenc; Czobor, P.; Uzelac, Sarah.

In: Schizophrenia Research, Vol. 85, No. 1-3, 07.2006, p. 40-48.

Research output: Contribution to journalArticle

Jaeger, Judith ; Tatsuoka, Curtis ; Berns, Stefanie ; Varadi, Ferenc ; Czobor, P. ; Uzelac, Sarah. / Associating functional recovery with neurocognitive profiles identified using partially ordered classification models. In: Schizophrenia Research. 2006 ; Vol. 85, No. 1-3. pp. 40-48.
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