Validierungsstudie zum Cookie Theft Picture Test

Sonja Radjenovic; Martin Voracek; Georg Adler

doi:10.1055/a-1207-1255

Psychiatrische Praxis, Table of Contents

Psychiatr Prax 2021; 48(03): 149-155
DOI: 10.1055/a-1207-1255

Originalarbeit

Validierungsstudie zum Cookie Theft Picture Test

Früherkennung von Demenzerkrankungen anhand von sprachlichen AuffälligkeitenValidity Study of the Cookie Theft Picture TestEarly Detection of Dementia Based on Linguistic Abnormalities

Authors

Sonja Radjenovic

¹Institut für Psychologische Grundlagenforschung und Forschungsmethoden, Fakultät für Psychologie, Universität Wien, Österreich
Martin Voracek

¹Institut für Psychologische Grundlagenforschung und Forschungsmethoden, Fakultät für Psychologie, Universität Wien, Österreich
Georg Adler

²Institut für Studien zur Psychischen Gesundheit (ISPG), Mannheim, Deutschland

Abstract

Zusammenfassung

Ziel der Studie Bisherige Studien lieferten inkonsistente Befunde hinsichtlich diskriminierender Sprachvariablen zwischen gesunden und dementen Personen. In der vorliegenden Studie werden mithilfe des Cookie Theft Picture Tests (CTP) ausgewählte Sprachvariablen getestet, um tatsächliche Diagnosen vorherzusagen.

Methodik 24 gesunde und 24 leicht demente Probanden wurden in die vorliegende Studie aufgenommen.

Ergebnisse Alle Sprachvariablen außer Wiederholungen, Wortfindungsstörungen und Paraphasien wiesen signifikante Unterschiede zwischen den Gruppen auf. Die Variablen Pausenlänge und Hinweise erhöhen signifikant die Wahrscheinlichkeit für AD, während die Satzlänge diese verringert.

Schlussfolgerung Die Studie ist aufgrund geringer Stichprobengröße und mangelhafter Standardisierung nur bedingt interpretierbar. Dennoch weisen die Ergebnisse darauf hin, dass der CTP für die praktische Anwendung geeignet zu sein scheint.

Abstract

Objective Previous studies have provided inconsistent results regarding discriminatory language variables between subjects with dementia and healthy controls. In this study, using the Cookie Theft Picture Test (CTP), selected language variables are tested for predicting actual diagnoses.

Methods 24 healthy subjects and 24 subjects with mild dementia were included in the present study.

Results All language variables except repetitions, word finding difficulties and paraphasias showed significant differences between the groups. The variables pause length and clues increase significantly the likelihood of AD, while the variable sentence length decreases it.

Conclusion Due to the small sample size and insufficient standardization, the study can only be interpreted to a limited extent. Nevertheless, the results indicate that the CTP appears to be suitable for practical use.

Schlüsselwörter

Validität - Cookie Theft Picture Test - Sprache - Demenz - Alzheimer

Keywords

validity - Cookie Theft Picture Test - language - dementia - Alzheimer’s disease

Full Text

References

Literatur
1 Ott A, Breteler MM, Van Harskamp F. et al. Prevalence of Alzheimer’s disease and vascular dementia: association with education. The Rotterdam study. BMJ 1995; 310: 970-973
2 Wancata J, Freidl M, Unger A. et al. Projections about the future number of dementia sufferers: increasing life expectancy not sufficiently considered?. Psychiatr Danub 2015; 27: 452-457
3 Gutzmann H. Sprache und Demenzerkrankungen. Forum Logopädie 2008; 6: 6-12
4 Scheichenberger S. Epidemiologie und Einteilung der Demenzformen. In: Spezielle validierende Pflege. Berlin, Heidelberg: Springer; 2018: 47-71
5 Hütz D, Costa A, Willmes K. et al. Störungsspezifische Sprachtherapie bei Alzheimer-Demenz. NeuroGeriatrie 2012; 9: 112-118
6 Weiner MF, Neubecker KE, Bret ME. et al. Language in Alzheimer’s disease. J Clin Psychiatry 2008; 69: 1223-1227
7 Choi H. Performances in a picture description task in Japanese patients with Alzheimer’s disease and with mild cognitive impairment. Commun Sci Disord 2009; 14: 326-337
8 Taler V, Phillips NA. Language performance in Alzheimer’s disease and mild cognitive impairment: a comparative review. J Clin Exp Neuropsychol 2008; 30: 501-556
9 Goodglass H, Kaplan E. Boston Diagnostic Aphasia Examination (BDAE). Philadelphia: Lea & Febiger; 1972
10 Hernández-Domínguez L, Ratté S, Sierra-Martínez G. et al. Computer-based evaluation of Alzheimer’s disease and mild cognitive impairment patients during a picture description task. Alzheimers Dement (Amst) 2018; 10: 260-268
11 Orimaye SO, Wong JS, Golden KJ. et al. Predicting probable Alzheimer’s disease using linguistic deficits and biomarkers. BMC bioinformatics 2017; 18: 34
12 Habash A, Guinn C, Kline D. et al. Language Analysis of Speakers with Dementia of the Alzheimer’s Type. Annals of the Master of Science in Computer Science and Information Systems at UNC Wilmington 2012; 6: 8-13
13 Amiridze N, Davis BH, Maclagan M. Fillers, pauses and placeholders. Amsterdam: John Benjamins Publishing; 2010.
14 König A, Satt A, Sorin A. et al. Automatic speech analysis for the assessment of patients with predementia and Alzheimer’s disease. Alzheimers Dement (Amst) 2015; 1: 112-124
15 López-de-Ipiña K, Alonso JB, Travieso C. et al. On the selection of non-invasive methods based on speech analysis oriented to automatic Alzheimer disease diagnosis. Sensors 2013; 13: 6730-6745
16 Szatloczki G, Hoffmann I, Vincze V. et al. Speaking in Alzheimer’s disease, is that an early sign? Importance of changes in language abilities in Alzheimer’s disease. Front Aging Neurosci 2015; 7: 195
17 Corley M, Stewart OW. Hesitation disfluencies in spontaneous speech: The meaning of um. Language and Linguistics Compass 2008; 2: 589-602
18 Pistono A, Jucla M, Barbeau EJ. et al. Pauses during autobiographical discourse reflect episodic memory processes in early Alzheimer’s disease. J Alzheimers Dis 2016; 50: 687-698
19 Bayles KA, Boone DR, Tomoeda CK. et al. Differentiating Alzheimer’s patients from the normal elderly and stroke patients with aphasia. J Speech Hear Disord 1989; 54: 74-87
20 Fraser KC, Meltzer JA, Rudzicz F. Linguistic features identify Alzheimer’s disease in narrative speech. J Alzheimers Dis 2016; 49: 407-422
21 Tsantali E, Economidis D, Tsolaki M. Could language deficits really differentiate Mild Cognitive Impairment (MCI) from mild Alzheimer’s disease?. Arch Gerontol Geriatr 2013; 57: 263-270
22 Ovchinnikova I, Pavlova A. Lexical Substitution and Paraphasia in Advanced Dementia of the Alzheimer Type. Psychology of Language and Communication 2017; 21: 306-324
23 Hoffmann I, Nemeth D, Dye CD. et al. Temporal parameters of spontaneous speech in Alzheimer’s disease. Int J Speech Lang Pathol 2010; 12: 29-34
24 Mortensen L, Meyer AS, Humphreys GW. Age-related effects on speech production: A review. Language and Cognitive Processes 2006; 21: 238-290
25 Kessler J, Folstein SE, Denzler P. MMST. Mini-Mental-Status-Test. Deutschsprachige Fassung. Weinheim: Beltz; 1990
26 McKhann G, Drachman D, Folstein M. et al. Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 1984; 34: 939-944
27 IBM Corp. Released 2015. IBM SPSS Statistics for Macintosh, Version 23.0. Armonk, NY: IBM Corp.
28 Mueller KD, Koscik RL, Hermann BP. et al. Declines in Connected Language Are Associated with Very Early Mild Cognitive Impairment: Results from the Wisconsin Registry for Alzheimer’s Prevention. Front Aging Neurosci 2017; 9: 437
29 Perneczky R, Wagenpfeil S, Komossa K. et al. Mapping scores onto stages: mini-mental state examination and clinical dementia rating. Am J Geriatr Psychiatry 2006; 14: 139-144
30 Mortimer JA, Graves AB. Education and other socioeconomic determinants of dementia and Alzheimer’s disease. Neurology 1993; 43: 39-44