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Clayson PE, Kern RS, Nuechterlein KH, Knowlton BJ, Bearden CE, Cannon TD, Fiske AP, Ghermezi L, Hayata JN, Hellemann GS, Horan WP, Kee K, Lee J, Subotnik KL, Sugar CA, Ventura J, Yee CM, Green MF. Social vs. non-social measures of learning potential for predicting community functioning across phase of illness in schizophrenia. Schizophr Res 2019; 204:104-110. [PMID: 30121183 PMCID: PMC6377348 DOI: 10.1016/j.schres.2018.07.046] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 07/27/2018] [Accepted: 07/31/2018] [Indexed: 11/30/2022]
Abstract
Studies demonstrate that dynamic assessment (i.e., learning potential) improves the prediction of response to rehabilitation over static measures in individuals with schizophrenia. Learning potential is most commonly assessed using neuropsychological tests under a test-train-test paradigm to examine change in performance. Novel learning potential approaches using social cognitive tasks may have added value, particularly for the prediction of social functioning, but this area is unexplored. The present study is the first to investigate whether patients with schizophrenia demonstrate social cognitive learning potential across phase of illness. This study included 43 participants at clinical high risk (CHR), 63 first-episode, and 36 chronic schizophrenia patients. Assessment of learning potential involved test-train-test versions of the Wisconsin Card Sorting Test (non-social cognitive learning potential) and the Facial Emotion Identification Test (social cognitive learning potential). Non-social and social cognition pre-training scores (static scores) uniquely predicted concurrent community functioning in patients with schizophrenia, but not in CHR participants. Learning potential showed no incremental explanation of variance beyond static scores. First-episode patients showed larger non-social cognitive learning potential than CHR participants and were similar to chronic patients; chronic patients and CHR participants were similar. Group differences across phase of illness were not observed for social cognitive learning potential. Subsequent research could explore whether non-social and social cognitive learning potential relate differentially to non-social versus social types of training and rehabilitation.
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Affiliation(s)
- Peter E. Clayson
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA;,Corresponding author at: VA Greater Los Angeles Healthcare System, MIRECC 210A, Bldg. 210, 11301 Wilshire Blvd., Los Angeles, CA 90073, United States.
| | - Robert S. Kern
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA;,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Barbara J. Knowlton
- Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA;,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | | | - Alan P. Fiske
- Department of Anthropology, University of California Los Angeles, Los Angeles, CA
| | - Livon Ghermezi
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Jacqueline N. Hayata
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Gerhard S. Hellemann
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - William P. Horan
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Kimmy Kee
- Department of Psychology, California State University Channel Islands, Los Angeles, CA
| | - Junghee Lee
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Catherine A. Sugar
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Cindy M. Yee
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA;,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Michael. F. Green
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
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Green MF, Llerena K, Kern RS. The "Right Stuff" Revisited: What Have We Learned About the Determinants of Daily Functioning in Schizophrenia? Schizophr Bull 2015; 41:781-5. [PMID: 25750248 PMCID: PMC4466185 DOI: 10.1093/schbul/sbv018] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
It has been about 15 years since we published our article asking whether we are measuring the "Right Stuff" as we search for predictors and determinants of functional outcome in schizophrenia. At that time, we raised the question as to whether the neurocognitive assessments used to study outcome in schizophrenia were too narrow to capture the wide variability in factors that determine daily functioning. While the study of the determinants of functioning in schizophrenia has grown and matured, we are struck by 3 aspects of the article that evolved in different directions. First, the selection of outcome domains in the Right Stuff meta-analysis reflects a focus at that time on predictors of psychiatric rehabilitation. Second, expansion beyond traditional neurocognitive domains occurred in one suggested area (social cognition), but not another (learning potential). Third, the field has responded assertively to the recommendation to evaluate more informed and informative theoretical models.
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Affiliation(s)
- Michael F. Green
- Desert Pacific Mental Illness Research, Education, and Clinical Center, Department of Veterans Affairs, Los Angels, CA;,Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angels, CA ,*To whom correspondence should be addressed; Semel Institute for Neuroscience and Human Behavior, UCLA, 760 Westwood Plaza, Rm 77–361, Los Angeles, CA 90024–1759, US; tel: 310-268-3376, fax: 310-268-4056; e-mail:
| | - Katiah Llerena
- Desert Pacific Mental Illness Research, Education, and Clinical Center, Department of Veterans Affairs, Los Angels, CA;,Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angels, CA
| | - Robert S. Kern
- Desert Pacific Mental Illness Research, Education, and Clinical Center, Department of Veterans Affairs, Los Angels, CA;,Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angels, CA
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Boosman H, Bovend'Eerdt TJH, Visser-Meily JMA, Nijboer TCW, van Heugten CM. Dynamic testing of learning potential in adults with cognitive impairments: A systematic review of methodology and predictive value. J Neuropsychol 2014; 10:186-210. [PMID: 25491903 DOI: 10.1111/jnp.12063] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Revised: 09/02/2014] [Indexed: 12/01/2022]
Abstract
Dynamic testing includes procedures that examine the effects of brief training on test performance where pre- to post-training change reflects patients' learning potential. The objective of this systematic review was to provide clinicians and researchers insight into the concept and methodology of dynamic testing and to explore its predictive validity in adult patients with cognitive impairments. The following electronic databases were searched: PubMed, PsychINFO, and Embase/Medline. Of 1141 potentially relevant articles, 24 studies met the inclusion criteria. The mean methodological quality score was 4.6 of 8. Eleven different dynamic tests were used. The majority of studies used dynamic versions of the Wisconsin Card Sorting Test. The training mostly consisted of a combination of performance feedback, reinforcement, expanded instruction, or strategy training. Learning potential was quantified using numerical (post-test score, difference score, gain score, regression residuals) and categorical (groups) indices. In five of six longitudinal studies, learning potential significantly predicted rehabilitation outcome. Three of four studies supported the added value of dynamic testing over conventional testing in predicting rehabilitation outcome. This review provides preliminary support that dynamic tests can provide a valuable addition to conventional tests to assess patients' abilities. Although promising, there was a large variability in methods used for dynamic testing and, therefore, it remains unclear which dynamic testing methods are most appropriate for patients with cognitive impairments. More research is warranted to further evaluate and refine dynamic testing methodology and to further elucidate its predictive validity concerning rehabilitation outcomes relative to other cognitive and functional status indices.
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Affiliation(s)
- Hileen Boosman
- Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and De Hoogstraat Rehabilitation, The Netherlands
| | | | - Johanna M A Visser-Meily
- Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and De Hoogstraat Rehabilitation, The Netherlands
| | - Tanja C W Nijboer
- Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and De Hoogstraat Rehabilitation, The Netherlands.,Experimental Psychology, Helmholtz Institute, Utrecht University, The Netherlands
| | - Caroline M van Heugten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience and Maastricht University, Department of Neuropsychology and Psychopharmacology, Maastricht University Medical Centre, The Netherlands
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Validity of the dynamic Wisconsin Card Sorting Test for assessing learning potential in brain injury rehabilitation. J Int Neuropsychol Soc 2014; 20:1034-44. [PMID: 25382229 DOI: 10.1017/s1355617714000897] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The dynamic Wisconsin Card Sorting Test (dWCST) examines the effects of brief training on test performance where pre- to post-test change reflects learning potential. The objective was to examine the validity of the dWCST as a measure of learning potential in patients with acquired brain injury (ABI). A total of 104 patients with ABI completed the dWCST at rehabilitation admission. Performance of a subgroup (n=63) was compared to patients (n=28) who completed a repeated administration of the conventional WCST (rWCST). Furthermore, dWCST performance was compared between patients with ABI (n=63) and healthy controls (n=30) matched on gender, age, and education. Three learning potential indices were used: post-test score, gain score, and a group classification (decliners, poor learners, strong learners, high achievers). The median dWCST administration time was 30 min. The dWCST showed no floor or ceiling effects and the post-test and gain score were significantly intercorrelated. The pre-test score showed no significant associations with other neuropsychological tests. The learning potential indices were significantly associated with language and/or memory. In contrast to the dWCST group, the rWCST group showed no significant pre- to post-test improvement. There were significantly more poor learners in the rWCST group. Compared to controls, patients obtained similar gains, but significantly lower pre- and post-test scores for the dWCST. The ratio of poor learners between-groups was not significantly different. The results support the validity of the dWCST for assessing learning potential in patients with ABI. Further research is needed to investigate the predictive validity of the dWCST.
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