Feasibility of the neuropsychological spectrum in prediction of outcome following head injury

Little, Allison J.; Templer, Donald I.; Persel, Craig S.; Ashley, Mark J.

doi:10.1002/(sici)1097-4679(199607)52:4<455::aid-jclp11>3.0.co;2-f

Cited by 16 publications

(1 citation statement)

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“…For example, in patient populations, the measures predict functioning in everyday life, such as occupational status (Kibby, Schmitter-Edgecombe, & Long, 1998) and independent living (Little, Templer, Persel, & Ashley, 1996). Standard scoring measures also predict abnormal behavior, such as confabulation (Burgess, Alderman, Evans, Emslie, & Wilson, 1998).…”

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confidence: 99%

Sequential learning models for the Wisconsin card sort task: Assessing processes in substance dependent individuals

Bishara

Kruschke

Stout

et al. 2010

Journal of Mathematical Psychology

115

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The Wisconsin Card Sort Task (WCST) is a commonly used neuropsychological test of executive or frontal lobe functioning. Traditional behavioral measures from the task (e.g., perseverative errors) distinguish healthy controls from clinical populations, but such measures can be difficult to interpret. In an attempt to supplement traditional measures, we developed and tested a family of sequential learning models that allowed for estimation of processes at the individual subject level in the WCST. Testing the model with substance dependent individuals and healthy controls, the model parameters significantly predicted group membership even when controlling for traditional behavioral measures from the task. Substance dependence was associated with a) slower attention shifting following punished trials and b) reduced decision consistency. Results suggest that model parameters may offer both incremental content validity and incremental predictive validity.

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confidence: 99%

Sequential learning models for the Wisconsin card sort task: Assessing processes in substance dependent individuals

Bishara

Kruschke

Stout

et al. 2010

Journal of Mathematical Psychology

115

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Neuropsychological Predictors of Outcome Following Traumatic Brain Injury in Adults: a Meta-Analysis

et al. 2017

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Several neuropsychological dimensions are correlated with functional outcome (e.g., ability to return to family and community roles) following traumatic brain injury (TBI). Commonly investigated neuropsychological dimensions include verbal memory, visuo-spatial construction, set-shifting, generativity, and processing speed. Unfortunately, small sample sizes across relevant studies have contributed to inconsistent results. Furthermore, no studies have concurrently measured all of the candidate neuropsychological predictors, most of which are known to be inter-correlated. Thus, the unique predictive effects associated with the candidate predictors in TBI recovery have never been investigated. Consequently, this study used both meta-analysis and multiple regression to statistically evaluate neuropsychological candidate predictors across two outcome variables (1) the Glasgow Outcome Scale-Extended (GOS-E) and (2) the Disability Rating Scale (DRS). Seven studies met inclusion criteria. Based on the meta-analyses, the following neuropsychological dimensions were found to be correlated with the GOS-E: immediate verbal memory (r = .43, 95% CI [.27, .58]), delayed verbal memory (r = .43, 95% CI [.21, .61]), visuo-spatial construction (r = .29, 95% CI [.15, .53]), set-shifting (r = -.31, 95% CI [-.45, -.15], and generativity (r = .44, 95% CI [.32, .54]). By contrast, only one neuropsychological dimension was found to be significantly related to the DRS (generativity: r = -.21, 95% CI [-.39, -.01]). Multiple regression on the GOS-E relevant meta-analytically derived correlation matrix determined that all neuropsychological dimensions were significant predictors of the GOS-E (multiple R = .31) with the exception of immediate verbal memory or learning. However, due to analytic characteristics, these findings must be interpreted with caution. Results were consistent with the need to consider multiple neuropsychological abilities in recovery and rehabilitation following TBI.

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WAIS-III WMS-III Discrepancy Analysis

Hawkins

Tulsky

2003

Clinical Interpretation of the WAIS-III and WMS-III

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Feasibility of the neuropsychological spectrum in prediction of outcome following head injury

Cited by 16 publications

References 0 publications

Sequential learning models for the Wisconsin card sort task: Assessing processes in substance dependent individuals

Sequential learning models for the Wisconsin card sort task: Assessing processes in substance dependent individuals

Neuropsychological Predictors of Outcome Following Traumatic Brain Injury in Adults: a Meta-Analysis

WAIS-III WMS-III Discrepancy Analysis

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