A Diagnostic Test for Apraxia in Stroke Patients: Internal Consistency and Diagnostic Value

Heugten, van; Dekker, Joost; Deelman, B.G.; Stehmann-Saris, Fieneke C.; Kinébanian, Astrid

doi:10.1076/clin.13.2.182.1966

Cited by 52 publications

(36 citation statements)

References 20 publications

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“…Pantomiming the use of familiar tools on verbal or visual command is a way of exploring the integrity of an individual's action repertoire and a central test in the assessment of apraxia [Bartolo et al, 2008;van Heugten et al, 1999]. Despite its clinical relevance, only a limited number of neuroimaging studies have investigated the neural correlates of pantomiming object-related (transitive) gestures [Choi et al, 2001;Hermsdorfer et al, 2007;Imazu et al, 2007;Johnson-Frey et al, 2005;Moll et al, 2000;Rumiati et al, 2004].…”

Section: Introductionmentioning

confidence: 99%

Neural correlates of pantomiming familiar and unfamiliar tools: Action semantics versus mechanical problem solving?

Vingerhoets

Vandekerckhove

Honoré

et al. 2011

Human Brain Mapping

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This study aims to reveal the neural correlates of planning and executing tool use pantomimes and explores the brain's response to pantomiming the use of unfamiliar tools. Sixteen right-handed volunteers planned and executed pantomimes of equally graspable familiar and unfamiliar tools while undergoing fMRI. During the planning of these pantomimes, we found bilateral temporo-occipital and predominantly left hemispheric frontal and parietal activation. The execution of the pantomimes produced additional activation in frontal and sensorimotor regions. In the left posterior parietal region both familiar and unfamiliar tool pantomimes elicit peak activity in the anterior portion of the lateral bank of the intraparietal sulcus--A region associated with the representation of action goals. The cerebral activation during these pantomimes is remarkably similar for familiar and unfamiliar tools, and direct comparisons revealed only few differences. First, the left cuneus is significantly active during the planning of pantomimes of unfamiliar tools, reflecting increased visual processing of the novel objects. Second, executing (but not planning) familiar tool pantomimes showed significant activation on the convex portion of the inferior parietal lobule, a region believed to serve as a repository for skilled object-related gestures. Given the striking similarity in brain activation while pantomiming familiar and unfamiliar tools, we argue that normal subjects use both action semantics and function from structure inferences simultaneously and interactively to give rise to flexible object-to-goal directed behavior.

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Section: Introductionmentioning

confidence: 99%

Neural correlates of pantomiming familiar and unfamiliar tools: Action semantics versus mechanical problem solving?

Vingerhoets

Vandekerckhove

Honoré

et al. 2011

Human Brain Mapping

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show abstract

“…A score above 85 represents no or minimal apraxic symptoms. The internal consistency, the validity, and the interobserver reliability of the test are good (van Heugten et al, 1999b;Zwinkels et al, 2004). The apraxia test was included in this study as a measure to describe the severity of apraxia during the course of this study.…”

Section: Apraxiamentioning

confidence: 99%

“…The Apraxia Test is based on a test by De Renzi (De Renzi, 1989;van Heugten et al, 1999b). It consists of two subtests assessing (a) the ability to use objects as well as pantomime the use of objects (aimed at ideational apraxia), and (b) the ability to imitate gestures with the nonaffected ipsilateral arm (aimed at ideomotor apraxia).…”

Section: Apraxiamentioning

confidence: 99%

Transfer effects of a cognitive strategy training for stroke patients with apraxia

Geusgens

Heugten

Cooijmans³

et al. 2007

Journal of Clinical and Experimental Neuropsychology

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The objective of this study was to evaluate transfer effects of cognitive strategy training for stroke patients with apraxia. During 8 weeks, 29 apraxic patients received cognitive strategy training to teach them how to perform activities of daily living (ADL) as independently as possible. ADL functioning was assessed at the rehabilitation centre at baseline and after 8 weeks of training. In addition, assessment took place at the patients' own homes after 8 weeks of training and 5 months after the start of the training. The performance of both trained and nontrained tasks was observed. Patients performed trained tasks and nontrained tasks at the same level of independency at the rehabilitation centre as well as at home, indicating transfer of training effects. These effects turned out to be stable over time.

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“…It consists of two subsets: ideational apraxia is tested by the demonstration of object use and ideomotor apraxia is tested by imitation of a set of gestures. The VHA takes only a couple of minutes to assess [13]. …”

Section: Methodsmentioning

confidence: 99%

“…Van Heugten et al [13 ]developed and validated an apraxia test in a stroke population. We aimed to study its reliability and validity in our memory clinic population.…”

Section: Introductionmentioning

confidence: 99%

Apraxia in Mild Cognitive Impairment and Alzheimer's Disease: Validity and Reliability of the Van Heugten Test for Apraxia

Smits

Flapper

Sistermans

et al. 2014

Dement Geriatr Cogn Disord

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Aim: To assess the reliability and validity of the Van Heugten test for apraxia (VHA), developed for and used in stroke patients, in a memory clinic population. Furthermore, we assess the presence and severity of apraxia in mild cognitive impairment (MCI) and Alzheimer's disease (AD) and investigate which AD patients are likely to develop apraxia. Methods: We included 90 controls (age: 60 ± 9 years, MMSE: 28 ± 2), 90 MCI patients (age: 65 ± 7 years, MMSE: 26 ± 2) and 158 AD patients (age: 66 ± 8 years, MMSE: 20 ± 5). Apraxia was evaluated by the VHA assessing ideational and ideomotor praxis. We retested 20 patients to assess reliability. Results: Intrarater reliability was 0.88 and interrater reliability was 0.73. AD patients performed worse on the VHA (median: 88; range: 51-90) than controls (median: 90; range: 88-90) and MCI patients (median: 89; range: 84-90) (both p < 0.001). Apraxia was prevalent in 35% of AD patients, in 10% of MCI and it was not observed in controls (0%; p < 0.001). In AD, dementia severity was the main risk for apraxia; 15% of mildly versus 52% of moderately demented patients had apraxia (OR = 6.7, 95% CI 2.9-15.6). The second risk factor was APOE genotype. APOE ε4 noncarriers (47%) were at increased risk compared to carriers (30%) (OR = 2.1, 95% CI 1-4.7). Conclusion: Apraxia can be reliably measured with the VHA and is present in a proportion of patients with MCI and AD. The presence of apraxia in AD is related to dementia severity and APOE ε4.

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A Diagnostic Test for Apraxia in Stroke Patients: Internal Consistency and Diagnostic Value

Cited by 52 publications

References 20 publications

Neural correlates of pantomiming familiar and unfamiliar tools: Action semantics versus mechanical problem solving?

Neural correlates of pantomiming familiar and unfamiliar tools: Action semantics versus mechanical problem solving?

Transfer effects of a cognitive strategy training for stroke patients with apraxia

Apraxia in Mild Cognitive Impairment and Alzheimer's Disease: Validity and Reliability of the Van Heugten Test for Apraxia

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