A quick aphasia battery for efficient, reliable, and multidimensional assessment of language function

Stephen M Wilson, Dana K Eriksson, Sarah M Schneck, Jillian M Lucanie, Stephen M Wilson, Dana K Eriksson, Sarah M Schneck, Jillian M Lucanie

Abstract

This paper describes a quick aphasia battery (QAB) that aims to provide a reliable and multidimensional assessment of language function in about a quarter of an hour, bridging the gap between comprehensive batteries that are time-consuming to administer, and rapid screening instruments that provide limited detail regarding individual profiles of deficits. The QAB is made up of eight subtests, each comprising sets of items that probe different language domains, vary in difficulty, and are scored with a graded system to maximize the informativeness of each item. From the eight subtests, eight summary measures are derived, which constitute a multidimensional profile of language function, quantifying strengths and weaknesses across core language domains. The QAB was administered to 28 individuals with acute stroke and aphasia, 25 individuals with acute stroke but no aphasia, 16 individuals with chronic post-stroke aphasia, and 14 healthy controls. The patients with chronic post-stroke aphasia were tested 3 times each and scored independently by 2 raters to establish test-retest and inter-rater reliability. The Western Aphasia Battery (WAB) was also administered to these patients to assess concurrent validity. We found that all QAB summary measures were sensitive to aphasic deficits in the two groups with aphasia. All measures showed good or excellent test-retest reliability (overall summary measure: intraclass correlation coefficient (ICC) = 0.98), and excellent inter-rater reliability (overall summary measure: ICC = 0.99). Sensitivity and specificity for diagnosis of aphasia (relative to clinical impression) were 0.91 and 0.95 respectively. All QAB measures were highly correlated with corresponding WAB measures where available. Individual patients showed distinct profiles of spared and impaired function across different language domains. In sum, the QAB efficiently and reliably characterized individual profiles of language deficits.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1. Sample stimulus cards from the…
Fig 1. Sample stimulus cards from the QAB.
(A) Action pictures for elicitation of connected speech. (B) Single word comprehension with semantic distractors. (C) Single word comprehension with phonemic distractors. (D) ‘Yes’ and ‘no’. (E) Picture naming. (F) Reading aloud.
Fig 2. Subtest 1: Level of consciousness.
Fig 2. Subtest 1: Level of consciousness.
Fig 3. Subtest 2: Connected speech.
Fig 3. Subtest 2: Connected speech.
Fig 4. Subtest 3: Word comprehension.
Fig 4. Subtest 3: Word comprehension.
Fig 5. Subtest 4: Sentence comprehension.
Fig 5. Subtest 4: Sentence comprehension.
Fig 6. Subtest 5: Picture naming.
Fig 6. Subtest 5: Picture naming.
Fig 7. Subtest 6: Repetition.
Fig 7. Subtest 6: Repetition.
Fig 8. Subtest 7: Reading aloud.
Fig 8. Subtest 7: Reading aloud.
Fig 9. Subtest 8: Motor speech.
Fig 9. Subtest 8: Motor speech.
Fig 10. Distributions of the eight QAB…
Fig 10. Distributions of the eight QAB summary measures.
Boxes = interquartile range; whiskers = range not including outliers; plusses = outliers; thick horizontal lines = medians; Ac+A = acute stroke patients with aphasia (n = 28); Ac = acute stroke patients without aphasia (n = 25); Ch+A = chronic stroke patients with aphasia (n = 16); HC = healthy control participants (n = 14). Each measure is color-coded to match subsequent figures.
Fig 11. Inter-rater and test-retest reliability.
Fig 11. Inter-rater and test-retest reliability.
(A) Inter-rater reliability of each summary measure, across two trained speech-language pathologists who each rated the same 48 evaluations from 16 individuals with chronic post-stroke aphasia. ICC type A-1 = intraclass correlation coefficient, absolute agreement. (B) Test-retest reliability of each measure, based on 16 individuals with chronic post-stroke aphasia who were each evaluated three times. ICC type A-1 = intraclass correlation coefficient, absolute agreement, correlation between any random pair of evaluations. (C) Test-retest reliability of each measure, based on 16 individuals with chronic aphasia who were each evaluated three times. ICC type A-k = intraclass correlation coefficient, absolute agreement, correlation between the means of sets of three random evaluations. Error bars denote 95% confidence intervals. (D) Alternate forms reliability (ICC type A-1).
Fig 12. Determining a cutoff for diagnosis…
Fig 12. Determining a cutoff for diagnosis of aphasia.
(A) Receiver operating characteristic (ROC) plot of sensitivity versus specificity. The sensitivity and specificity at the chosen cutoff of 8.9 is indicated with a red circle. (B) Diagnosis based on this cutoff, relative to clinical impression. Green circles = correctly diagnosed patients; Red crosses = incorrectly diagnosed patients.
Fig 13. Concurrent validity with respect to…
Fig 13. Concurrent validity with respect to the Western Aphasia Battery (WAB).
Each QAB summary measure was correlated with most similar WAB measure, except for Reading, which was omitted because the written language section of the WAB was not administered. All correlations were significant (p

Fig 14. Profiles of QAB summary measures…

Fig 14. Profiles of QAB summary measures for each of the 16 individuals with chronic…

Fig 14. Profiles of QAB summary measures for each of the 16 individuals with chronic aphasia.
The patients are arranged in groups according to clinical impression, then in ascending order of overall QAB score within each group. Patient scores were averaged across three sessions and two raters, but the scores for each of the three sessions are indicated with black circles to give a sense of test-retest reliability.

Fig 15. Correlation matrix between QAB measures.

Fig 15. Correlation matrix between QAB measures.

Pearson r values for significant correlations are shown…

Fig 15. Correlation matrix between QAB measures.
Pearson r values for significant correlations are shown (p < 0.05, uncorrected). Included in this analysis were the 28 patients with acute post-stroke aphasia and the 16 patients with chronic post-stroke aphasia.
All figures (15)
Fig 14. Profiles of QAB summary measures…
Fig 14. Profiles of QAB summary measures for each of the 16 individuals with chronic aphasia.
The patients are arranged in groups according to clinical impression, then in ascending order of overall QAB score within each group. Patient scores were averaged across three sessions and two raters, but the scores for each of the three sessions are indicated with black circles to give a sense of test-retest reliability.
Fig 15. Correlation matrix between QAB measures.
Fig 15. Correlation matrix between QAB measures.
Pearson r values for significant correlations are shown (p < 0.05, uncorrected). Included in this analysis were the 28 patients with acute post-stroke aphasia and the 16 patients with chronic post-stroke aphasia.

References

    1. Marshall RC, Wright HH. Developing a clinician-friendly aphasia test. Am J Speech Lang Pathol. 2007; 16: 295–315. doi:
    1. Skenes LL, McCauley RJ. Psychometric review of nine aphasia tests. J Commun Disord. 1985; 18: 461–74.
    1. Wernicke C. Der Aphasische Symptomencomplex. Breslau: Cohn and Weigert; 1874.
    1. Lichtheim L. On aphasia. Brain. 1885; 7: 433–84.
    1. Goodglass H. Understanding aphasia. San Diego: Academic Press; 1993. 297 p.
    1. Wertz R.T, Robinson AJ, Deal J.L. Classifying the aphasias: a comparison of the Boston Diagnostic Aphasia Examination and the Western Aphasia Battery. Clin Aphasiology Proc Conf 1984.
    1. Bates E, Saygin AP, Moineau S, Marangolo P, Pizzamiglio L. Analyzing aphasia data in a multidimensional symptom space. Brain Lang. 2005; 92: 106–16. doi:
    1. Wilson SM, Henry ML, Besbris M, Ogar JM, Dronkers NF, Jarrold W, et al. Connected speech production in three variants of primary progressive aphasia. Brain. 2010; 133: 2069–88. doi:
    1. Butler RA, Ralph MAL, Woollams AM. Capturing multidimensionality in stroke aphasia: mapping principal behavioural components to neural structures. Brain. 2014; 137: 3248–66. doi:
    1. Mirman D, Chen Q, Zhang Y, Wang Z, Faseyitan OK, Coslett HB, et al. Neural organization of spoken language revealed by lesion-symptom mapping. Nat Commun. 2015; 6: 6762 doi:
    1. Casilio M. An Auditory-Perceptual Rating of Connected Speech in Aphasia [Internet]. The University of Arizona; 2017. Available from:
    1. Hodges JR, Patterson K, Oxbury S, Funnell E. Semantic dementia: progressive fluent aphasia with temporal lobe atrophy. Brain. 1992; 115: 1783–806.
    1. Caplan D, Hildebrandt N. Disorders of syntactic comprehension. Cambridge: MIT Press; 1988. 340 p.
    1. Goodglass H, Quadfasel FA, Timberlake WH. Phrase length and the type and severity of aphasia. Cortex. 1964; 7: 133–55.
    1. Benson DF. Fluency in aphasia: correlation with radioactive scan localization. Cortex. 1967; 3: 373–94.
    1. Thompson CK, Cho S, Hsu C-J, Wieneke C, Rademaker A, Weitner BB, et al. Dissociations between fluency and agrammatism in primary progressive aphasia. Aphasiology. 2012; 26: 20–43. doi:
    1. Goodglass H, Kaplan E, Barresi B. The Boston Diagnostic Aphasia Examination (BDAE). 3rd ed. Baltimore: Lippincott Williamson & Wilkins; 2001.
    1. Kertesz A. Western Aphasia Battery. New York: Grune and Stratton; 1982.
    1. Swinburn K, Porter G, Howard D. Comprehensive Aphasia Test. Hove: Psychology Press; 2004.
    1. Spreen O, Risser AH. Assessment of aphasia. Oxford: Oxford University Press; 2003.
    1. Hachioui HE, Visch-Brink EG, Lau LML de, Sandt-Koenderman MWME van de, Nouwens F, Koudstaal PJ, et al. Screening tests for aphasia in patients with stroke: a systematic review. J Neurol. 2017; 264: 211–20. doi:
    1. Enderby PM, Wood VA, Wade DT, Hewer RL. The Frenchay Aphasia Screening Test: a short, simple test for aphasia appropriate for non-specialists. Int Rehabil Med. 1987; 8: 166–70.
    1. Brott T, Adams HP, Olinger CP, Marler JR, Barsan WG, Biller J, et al. Measurements of acute cerebral infarction: a clinical examination scale. Stroke. 1989; 20: 864–70.
    1. Flamand-Roze C, Falissard B, Roze E, Maintigneux L, Beziz J, Chacon A, et al. Validation of a new language screening tool for patients with acute stroke: The Language Screening Test (LAST). Stroke. 2011; 42: 1224–9. doi:
    1. Azuar C, Leger A, Arbizu C, Henry-Amar F, Chomel-Guillaume S, Samson Y. The Aphasia Rapid Test: an NIHSS-like aphasia test. J Neurol. 2013; 260: 2110–7. doi:
    1. Fitch-West J, Ross-Swain D, Sands ES. BEST-2: Bedside evaluation screening test. Austin, TX: Pro-Ed; 1998.
    1. Porch BE. Porch Index of Communicative Ability. Palo Alto: Consulting Psychologists Press; 1967.
    1. DiSimoni FG, Keith RL, Holt DL, Darley FL. Practicality of shortening the Porch Index of Communicative Ability. J Speech Lang Hear Res. 1975; 18: 491–7.
    1. Disimoni FG, Keith RL, Darley FL. Prediction of PICA overall score by short versions of the test. J Speech Lang Hear Res. 1980; 23: 511–6.
    1. Lincoln NB, Ells P. A shortened version of the PICA. Int J Lang Commun Disord. 1980; 15: 183–7.
    1. Phillips PP, Halpin G. Language impairment evaluation in aphasic patients: developing more efficient measures. Arch Phys Med Rehabil. 1978; 59: 327–30.
    1. Clark C, Crockett DJ, Klonoff H. Factor analysis of the Porch Index of Communication Ability. Brain Lang. 1979; 7: 1–7.
    1. Clark C, Crockett DJ, Klonoff H. Empirically derived groups in the assessment of recovery from aphasia. Brain Lang. 1979; 7: 240–51.
    1. Hanson WR, Riege WH, Metter EJ, Inman VW. Factor-derived categories of chronic aphasia. Brain Lang. 1982; 15: 369–80.
    1. Prins R, Bastiaanse R. Analysing the spontaneous speech of aphasic speakers. Aphasiology. 2004; 18: 1075–91.
    1. MacWhinney B, Fromm D, Forbes M, Holland A. AphasiaBank: methods for studying discourse. Aphasiology. 2011; 25: 1286–307. doi:
    1. Wagenaar E, Snow C, Prins R. Spontaneous speech of aphasic patients: a psycholinguistic analysis. Brain Lang. 1975; 2: 281–303.
    1. Strand EA, Duffy JR, Clark HM, Josephs K. The Apraxia of Speech Rating Scale: a tool for diagnosis and description of apraxia of speech. J Commun Disord. 2014; 51: 43–50. doi:
    1. Rossion B, Pourtois G. Revisiting Snodgrass and Vanderwart’s object pictorial set: the role of surface detail in basic-level object recognition. Perception. 2004; 33: 217–36. doi:
    1. Warrington EK, McKenna P, Orpwood L. Single word comprehension: a concrete and abstract word synonym test. Neuropsychol Rehabil. 1998; 8: 143–54.
    1. Bastiaanse R, Bamyaci E, Hsu C-J, Lee J, Duman TY, Thompson CK. Time reference in agrammatic aphasia: a cross-linguistic study. J Neurolinguistics. 2011; 24: 652–73. doi:
    1. Jefferies E, Lambon Ralph MA. Semantic impairment in stroke aphasia versus semantic dementia: a case-series comparison. Brain. 2006; 129: 2132–47. doi:
    1. Wilson SM, DeMarco AT, Henry ML, Gesierich B, Babiak M, Mandelli ML, et al. What role does the anterior temporal lobe play in sentence-level processing? Neural correlates of syntactic processing in semantic variant primary progressive aphasia. J Cogn Neurosci. 2014; 26: 970–85. doi:
    1. Kaplan EF, Goodglass H, Weintraub S. The Boston Naming Test. 2nd ed. Philadelphia: Lea and Febiger; 1983.
    1. Del Toro CM, Bislick LP, Comer M, Velozo C, Romero S, Gonzalez Rothi LJ, et al. Development of a short form of the Boston naming test for individuals with aphasia. J Speech Lang Hear Res. 2011; 54: 1089–100. doi:
    1. Duffy JR. Motor speech disorders: substrates, differential diagnosis, and management. 3rd ed. St. Louis: Elsevier/Mosby; 2013.
    1. McGraw KO, Wong SP. Forming inferences about some intraclass correlation coefficients. Psychol Methods. 1996; 1: 30–46.
    1. Selnes OA, Niccum N, Knopman DS, Rubens AB. Recovery of single word comprehension: CT-scan correlates. Brain Lang. 1984; 21: 72–84.
    1. Hickok G, Poeppel D. The cortical organization of speech processing. Nat Rev Neurosci. 2007; 8: 393–402. doi:
    1. Cicchetti DV. Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess. 1994; 6: 284–90.
    1. Selnes OA, Knopman DS, Niccum N, Rubens AB, Larson D. Computed tomographic scan correlates of auditory comprehension deficits in aphasia: a prospective recovery study. Ann Neurol. 1983; 13: 558–66. doi:
    1. Bartha L, Benke T. Acute conduction aphasia: an analysis of 20 cases. Brain Lang. 2003; 85: 93–108.
    1. Zimmerman DW, Williams RH, Zumbo BD. Reliability of measurement and power of significance tests based on differences. Appl Psychol Meas. 1993; 17: 1–9.
    1. Kay J, Lesser R, Coltheart M. PALPA: Psycholinguistic Assessments of Language Processing in Aphasia. Hove: Lawrence Erlbaum; 1992.
    1. Pedersen PM, Jørgensen HS, Nakayama H, Raaschou HO, Olsen TS. Aphasia in acute stroke: incidence, determinants, and recovery. Ann Neurol. 1995; 38: 659–66. doi:

Source: PubMed

3
購読する