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Abstract

Abstract

Neuropsychological assessments depend on language-based measures of cognitive functioning and the proper diagnosis of certain disorders relies on patterns of impairment shown on these measures (Lezak et al., 2004). The current project was motivated by the relative lack of literature integrating psycholinguistic experimental findings and clinical neuropsychological research on tests of verbal memory, specifically list learning. It has been well documented that word-level characteristics impact language processing and memory (see Yap & Balota, 2015 for a review). Therefore, it is critical that neuropsychologists begin to understand how current measures can be confounded by the underlying lexical and semantic characteristics of the stimuli and how, if used properly, those characteristics could aid in diagnostic specificity. The current study examined the structure of popular list learning tests and analyzed the influence of several psycholinguistic variables on the performance of healthy undergraduate participants. Results demonstrated that (1) age of acquisition, emotional valence, semantic neighborhood density, and imageability predicted recall accuracy of items from neuropsychological tests and (2) only one of the ten clinical test lists examined adequately controlled for these influential variables. Thus, clinicians could be missing clinically relevant data by ignoring psycholinguistic contributions to patient performance.

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2025-01-17
2025-02-15
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References

  1. Angwin, A. J., Chenery, H. J., Copland, D. A., Murdoch, B. E., & Silburn, P. A.
    (2006) Self-paced reading and sentence comprehension in Parkinson’s disease. Journal of Neurolinguistics, (), –. 10.1016/j.jneuroling.2005.11.004
    https://doi.org/10.1016/j.jneuroling.2005.11.004 [Google Scholar]
  2. Brandt, J., & Benedict, R. H. B.
    (2001) Hopkins verbal learning test — Revised. Administration manual. Lutz, FL: Psychological Assessment Resources.
    [Google Scholar]
  3. Buchanan, L., Westbury, C., & Burgess, C.
    (2001) Characterizing semantic space: Neighborhood effects in word recognition. Psychonomic Bulletin and Review, (), –. 10.3758/BF03196189
    https://doi.org/10.3758/BF03196189 [Google Scholar]
  4. Croisile, Ska B., Brabant, M.-J., Duchene, A., Lepage, Y., Aimard, G., & Trillet, M.
    (1996) comparative study of oral and written picture description in patients with Alzheimer’s disease. Brain and Language, (), –. 10.1006/brln.1996.0033
    https://doi.org/10.1006/brln.1996.0033 [Google Scholar]
  5. Delis, D. C., Kramer, J. H., Kaplan, E., & Ober, B. A.
    (1994) California Verbal Learning Test, Children’s Version (CVLT-C). San Antonio, TX: The Psychological Corporation.
    [Google Scholar]
  6. (2017) California Verbal Learning Test, Third Edition (CVLT-3). San Antonio, TX: Psychological Corporation.
    [Google Scholar]
  7. Durda, K., & Buchanan, L.
    (2006) WordMine2 [Online] Available: web2.uwindsor.ca/wordmine
  8. Halderman, L. K., & Chiarello, C.
    (2005) Cerebral asymmetries in early orthographic and phonological reading processes: Evidence from backward masking. Brain and Language(), –. 10.1016/j.bandl.2005.02.005
    https://doi.org/10.1016/j.bandl.2005.02.005 [Google Scholar]
  9. Hoffman, P., Lambon Ralph, M. A., & Rogers, T. T.
    (2012) Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words. Behavior Research Methods, (), –. 10.3758/s13428‑012‑0278‑x
    https://doi.org/10.3758/s13428-012-0278-x [Google Scholar]
  10. Huff, F. J., Corkin, S., & Growdon, J. H.
    (1986) Semantic impairment and anomia in Alzheimer’s disease. Brain and Language, (), –. 10.1016/0093‑934X(86)90103‑3
    https://doi.org/10.1016/0093-934X(86)90103-3 [Google Scholar]
  11. Jenkins, J. J.
    (1979) Four points to remember: A tetrahedral model of memory experiments. InCermak, L. S., Craik, F. I. M. (Eds.), Levels of processing in human memory (pp.–). Hillsdale, NJ: Lawrence Erlbaum.
    [Google Scholar]
  12. Korkman, M., Kirk, U., & Kemp, S.
    (2007) NEPSY — Second Edition (NEPSY — II) [Database record]. APA PsycTests. 10.1037/t15125‑000
    https://doi.org/10.1037/t15125-000 [Google Scholar]
  13. Kuperman, V., Stadthagen-Gonzalez, H., & Brysbaert, M.
    (2012) Age-of-acquisition ratings for 30,000 English words. Behavior Research Methods, (), –. 10.3758/s13428‑012‑0210‑4
    https://doi.org/10.3758/s13428-012-0210-4 [Google Scholar]
  14. Lau, M. C., Goh, W. D., & Yap, M. J.
    (2018) An item-level analysis of lexical-semantic effects in free recall and recognition memory using the megastudy approach. Quarterly Journal of Experimental Psychology, (), –. 10.1177/1747021817739834
    https://doi.org/10.1177/1747021817739834 [Google Scholar]
  15. Lund, K., and Burgess, C.
    (1996) Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, , –. 10.3758/BF03204766
    https://doi.org/10.3758/BF03204766 [Google Scholar]
  16. Lutfallah, S., Fast, C., Rangan, C., & Buchanan, L.
    (2018) Semantic neighbourhoods: There’s an app for that. The Mental Lexicon, (), –. 10.1075/ml.18015.lut
    https://doi.org/10.1075/ml.18015.lut [Google Scholar]
  17. Lynott, D., Connell, L., Brysbaert, M., Brand, K., & Carney, J.
    (2020) The Lancaster Sensorimotor Norms: Multidimensional measures of perceptual and action strength for 40,000 English words. Behavior Research Methods, , –. 10.3758/s13428‑019‑01316‑z
    https://doi.org/10.3758/s13428-019-01316-z [Google Scholar]
  18. Madan, C. R.
    (2021) Exploring word memorability: How well do different word properties explain item free-recall probability?Psychonomic Bulletin & Review, (), –. 10.3758/s13423‑020‑01820‑w
    https://doi.org/10.3758/s13423-020-01820-w [Google Scholar]
  19. McNamara, P., Obler, L. K., Au, R., Durso, R., & Albert, M. L.
    (1992) Speech monitoring skills in Alzheimer’s disease, Parkinson’s disease, and normal aging. Brain and Language, (), –. 10.1016/0093‑934X(92)90055‑J
    https://doi.org/10.1016/0093-934X(92)90055-J [Google Scholar]
  20. Mendez, M. F., Clark, D. G., Shapira, J. S., & Cummings, J. L.
    (2003) Speech and language in progressive nonfluent aphasia compared with early Alzheimer’s disease. Neurology, (), –. 10.1212/01.WNL.0000090563.97453.90
    https://doi.org/10.1212/01.WNL.0000090563.97453.90 [Google Scholar]
  21. Milberg, W. P., Hebben, N., Kaplan, E., Grant, I., & Adams, K.
    (2009) The Boston process approach to neuropsychological assessment. Neuropsychological assessment of neuropsychiatric and neuromedical disorders, , –.
    [Google Scholar]
  22. Oldfield, R. C.
    (1966) Things, words, and the brain. The Quarterly Journal of Experimental Psychology, (), –. 10.1080/14640746608400052
    https://doi.org/10.1080/14640746608400052 [Google Scholar]
  23. Price, C. C., & Grossman, M.
    (2005) Verb agreements during on-line sentence processing in Alzheimer’s disease and frontotemporal dementia. Brain and Language, (), –. 10.1016/j.bandl.2004.12.009
    https://doi.org/10.1016/j.bandl.2004.12.009 [Google Scholar]
  24. R Core Team
    R Core Team (2021) R: A language and environment for statistical computing. (Version 4.1) [Computer Software].
    [Google Scholar]
  25. Randolph, C., Tierney, M. C., Mohr, E., & Chase, T. N.
    (1998) The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): Preliminary clinical validity. Journal of Clinical and Experimental Neuropsychology, (), –. 10.1076/jcen.20.3.310.823
    https://doi.org/10.1076/jcen.20.3.310.823 [Google Scholar]
  26. Scott, G. G., Keitel, A., Becirspahic, M., Yao, B., & Sereno, S. C.
    (2019) The Glasgow norms: Ratings of 5,500 words on nine scales. Behavior Research Methods, (), –. 10.3758/s13428‑018‑1099‑3
    https://doi.org/10.3758/s13428-018-1099-3 [Google Scholar]
  27. Sherman, E. M. S., Brooks, B. L.
    (2015) Child and Adolescent Memory Profile (ChAMP). Psychological Assessment Resources.
    [Google Scholar]
  28. Sheslow, D., & Adams, W.
    (2003) Wide range assessment of memory and learning (2nd ed.). Lutz, FL: Psychological Assessment Resources, Inc.
    [Google Scholar]
  29. Strauss, E., Sherman, E. M. S., & Spreen, O.
    (2006) A compendium of neuropsychological tests: Administration, norms, and commentary (3rd ed.) Oxford University Press.
    [Google Scholar]
  30. Taler, V., Davidson, P. S., Sheppard, C., & Gardiner, J.
    (2021) A discourse-theoretic approach to story recall in aging and mild cognitive impairment. Aging, Neuropsychology, and Cognition, (), –. 10.1080/13825585.2020.1821865
    https://doi.org/10.1080/13825585.2020.1821865 [Google Scholar]
  31. Treisman, A. M.
    (1960) Contextual cues in selective listening. Quarterly Journal of Experimental Psychology, , –. 10.1080/17470216008416732
    https://doi.org/10.1080/17470216008416732 [Google Scholar]
  32. van Buuren, S., & Groothuis-Oudshoorn, K.
    (2011) mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, (), –. https://www.jstatsoft.org/v45/i03/. 10.18637/jss.v045.i03
    https://doi.org/10.18637/jss.v045.i03 [Google Scholar]
  33. Vandenberghe, R. R., Vandenbulcke, M., Weintraub, S., Johnson, N., Porke, K., Thompson, C. K., & Mesulam, M. M.
    (2005) Paradoxical features of word finding difficulty in primary progressive aphasia. Annals of Neurology, (), –. 10.1002/ana.20362
    https://doi.org/10.1002/ana.20362 [Google Scholar]
  34. Yap, M. J., & Balota, D. A.
    (2015) Visual word recognition. InA. Pollastek & R. Treiman (Eds.), The Oxford Handbook of Reading (pp.–). Oxford University Press.
    [Google Scholar]
  35. Warriner, A. B., Kuperman, V., & Brysbaert, M.
    (2013) Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods, , –. 10.3758/s13428‑012‑0314‑x
    https://doi.org/10.3758/s13428-012-0314-x [Google Scholar]
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