Volume 16, Issue 2-3
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Abstract

Abstract

To explore how processing lexicality may change with aging and in the presence of Alzheimer’s disease (AD), we conducted two experiments investigating lexicality judgements using an on-line behavioural psycholinguistic methodology and electrophysiological/event-related potential (ERP) methods; oddball lexical decision tasks. Results from these lexical decision tasks showed that while those with AD show similar rates of accuracy for their lexical decision as compared older adults (OA), they are particularly slowed when making judgements for pseudowords. Our results from the ERP tasks also showed that the two groups behaved differently with regard to elicitation of the P3 ERP response, which indicates differences in how these two groups form lexical categories. The pattern of ERP responses suggests that older adults are sensitive to the orthography/phonology of the stimuli during the course of lexical processing as compared to participants with AD who show less sensitivity to orthographic/phonological cues. Additionally, the ERP P3 amplitude results suggest further linguistically related differences between healthy older adults and those with AD, and highlight the importance and usefulness of combining behavioural psycholinguistic and ERP methodologies.

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2022-03-08
2024-03-28
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References

  1. Ally, B. A. , Jones, G. E. , Cole, J. A. , & Budson, A. E.
    (2006) The P300 component in patients with Alzheimer’s disease and their biological children. Biological Psychology, 72 (2), 180–187. 10.1016/j.biopsycho.2005.10.004
    https://doi.org/10.1016/j.biopsycho.2005.10.004 [Google Scholar]
  2. Amieva, H. , Lafont, S. , Auriacombe, S. , Carret, N. L. , Dartigues, J. F. ,
    (2002) Inhibitory breakdown and dementia of the Alzheimer type: a general phenomenon?Journal of Clinical and Experimental Neuropsychology, 24 (4), 503–516. 10.1076/jcen.24.4.503.1034
    https://doi.org/10.1076/jcen.24.4.503.1034 [Google Scholar]
  3. Appell, J. , Kertesz, A. , & Fisman, M.
    (1982) A study of language functioning in Alzheimer patients. Brain and Language, 17 (1), 73–91. 10.1016/0093‑934X(82)90006‑2
    https://doi.org/10.1016/0093-934X(82)90006-2 [Google Scholar]
  4. Ashford, J. W. , Coburn, K. L. , Rose, T. L. , & Bayley, P. J.
    (2011) P300 energy loss in aging and Alzheimer’s disease. Journal of Alzheimer’s Disease, 26, 229–238. 10.3233/JAD‑2011‑0061
    https://doi.org/10.3233/JAD-2011-0061 [Google Scholar]
  5. Azevedo, N. , Atchley, R. A. , & Kehayia, E.
    (2015) Electrifying the lexical decision: Examining a P3 ERP component reflecting early lexical categorization. The Mental Lexicon, 10 (3), 339–363. 10.1075/ml.10.3.02aze
    https://doi.org/10.1075/ml.10.3.02aze [Google Scholar]
  6. Azevedo, N. , Kehayia, E. , Atchley, R. A. , & Nair, V. P. N.
    (2015) Lexicality judgements in healthy aging and in individuals with Alzheimer’s disease: Effect of neighbourhood density. Mental Lexicon, 10 (2), 286–311. 10.1075/ml.10.2.06aze
    https://doi.org/10.1075/ml.10.2.06aze [Google Scholar]
  7. Azizian, A. , Freitas, A. L. , Watson, T. D. , & Squires, N. K.
    (2006) Electrophysiological correlates of categorization: P300 amplitude as index of target similarity. Biological Psychology, 71 (3), 278–288. 10.1016/j.biopsycho.2005.05.002
    https://doi.org/10.1016/j.biopsycho.2005.05.002 [Google Scholar]
  8. Balota, D. A. , Cortese, M. J. , Sergent-Marshall, S. D. , Spieler, D. H. , & Yap, M.
    (2004) Visual word recognition of single-syllable words. Journal of Experimental Psychology: General, 133 (2), 283. 10.1037/0096‑3445.133.2.283
    https://doi.org/10.1037/0096-3445.133.2.283 [Google Scholar]
  9. Bayles, K. A. & Kaszniak, A. W.
    (1987) The brain and age-related dementing diseases. In K. A. Bayles & A. W. Kaszakniak (Eds.), Communication and Cognition in Normal Aging and Dementia. Boston: College-Hill Press.
    [Google Scholar]
  10. Bentin, S. , Mouchetant-Rostaing, Y. , Giard, M. , Echallier, J. , & Pernier, J.
    (1999) ERP manifestations of processing printed words at different psycholinguistic levels: time course and scalp distribution. Journal of Cognitive Neuroscience, 11 (3), 235–260. 10.1162/089892999563373
    https://doi.org/10.1162/089892999563373 [Google Scholar]
  11. Bowles, N. L. , & Poon, L. W.
    (1981) The effect of age on speed of lexical access. Experimental Aging Research, 7 (4), 417–425. 10.1080/03610738108259822
    https://doi.org/10.1080/03610738108259822 [Google Scholar]
  12. Braaten, A. J. , Parsons, T. D. , McCue, R. , Sellers, A. , & Burns, W. J.
    (2006) Neurocognitive differential diagnosis of dementing diseases: Alzheimer’s dementia, vascular dementia, frontotemporal dementia, and major depressive disorder. International Journal of Neuroscience, 116 (11), 1271–1293. 10.1080/00207450600920928
    https://doi.org/10.1080/00207450600920928 [Google Scholar]
  13. Bruder, G. E. , Tenke, C. E. , Stewart, J. W. , Towey, J. P. , Leite, P. , Voglmaier, M. , & Quitkin, F. M.
    (1995) Brain event-related potentials to complex tones in depressed patients: Relations to perceptual asymmetry and clinical features. Psychophysiology, 32 (4), 373–381. 10.1111/j.1469‑8986.1995.tb01220.x
    https://doi.org/10.1111/j.1469-8986.1995.tb01220.x [Google Scholar]
  14. Carreiras, M. , Armstrong, B. C. , Perea, M. , Frost, R.
    (2014) The what, when, where, and how of visual word recognition. Trends Cognitive Science 18 (2), 90–98. 10.1016/j.tics.2013.11.005
    https://doi.org/10.1016/j.tics.2013.11.005 [Google Scholar]
  15. Caza, N. , & Moscovitch, M.
    (2005) Effects of cumulative frequency, but not of frequency trajectory, in lexical decision times of older adults and patients with Alzheimer’s disease. Journal of Memory and Language, 53 (3), 456–471. 10.1016/j.jml.2005.03.005
    https://doi.org/10.1016/j.jml.2005.03.005 [Google Scholar]
  16. Chapman, R. M. , Nowlis, G. H. , McCrary, J. W. , Chapman, J. A. , Sandoval, T. C. , Guillily, M. D. , Gardner, M. N. , & Reilly, L. A.
    (2007) Brain event-related potentials: Diagnosing early-stage Alzheimer’s disease. Neurobiology of Aging, 28 (2), 194–201. 10.1016/j.neurobiolaging.2005.12.008
    https://doi.org/10.1016/j.neurobiolaging.2005.12.008 [Google Scholar]
  17. Coch, D. , & Mitra, P.
    (2010) Word and pseudoword superiority effects reflected in the ERP waveform. Brain Research, 1329 , 159–174. 10.1016/j.brainres.2010.02.084
    https://doi.org/10.1016/j.brainres.2010.02.084 [Google Scholar]
  18. Collette, F. , Amieva, H. , Adam, S. , Hogge, M. , Van der Linden, M. , Fabrigoule, C. , & Salmon, E.
    (2007) Comparison of inhibitory functioning in mild Alzheimer’s disease and frontotemporal dementia. Cortex, 43 (7), 866–874. 10.1016/S0010‑9452(08)70686‑5
    https://doi.org/10.1016/S0010-9452(08)70686-5 [Google Scholar]
  19. Coltheart, M. , Rastle, K. , Perry, C. , Langdon, R. , & Ziegler, J.
    (2001) DRC: a dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108 (1), 204–256. 10.1037/0033‑295X.108.1.204
    https://doi.org/10.1037/0033-295X.108.1.204 [Google Scholar]
  20. Cuetos, F. , Herrera, E. , & Ellis, A. W.
    (2010) Impaired word recognition in Alzheimer’s disease: The role of age of acquisition. Neuropsychologia, 48 (11), 3329–3334. 10.1016/j.neuropsychologia.2010.07.017
    https://doi.org/10.1016/j.neuropsychologia.2010.07.017 [Google Scholar]
  21. Davies, R. A. , Arnell, R. , Birchenough, J. M. , Grimmond, D. , & Houlson, S.
    (2017) Reading through the life span: Individual differences in psycholinguistic effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43 (8), 1298.
    [Google Scholar]
  22. Deacon, D. , Dynowska, A. , Ritter, W. , & Grose-Fifer, J.
    (2004) Repetition and semantic priming of nonwords: Implications for theories of N400 and word recognition. Psychophysiology, 41 (1), 60–74. 10.1111/1469‑8986.00120
    https://doi.org/10.1111/1469-8986.00120 [Google Scholar]
  23. Duñabeitia, J. A. , Marín, A. , & Carreiras, M.
    (2009) Associative and orthographic neighborhood density effects in normal aging and Alzheimer’s disease. Neuropsychology, 23 (6), 759–764. 10.1037/a0016616
    https://doi.org/10.1037/a0016616 [Google Scholar]
  24. Duñabeitia, J. A. , Marín, A. , Aviles, A. , Perea, M. , & Carreiras, M.
    (2009) Constituent priming effects: Evidence for preserved morphological processing in healthy old readers. European Journal of Cognitive Psychology, 21 (2–3), 283–302. 10.1080/09541440802281142
    https://doi.org/10.1080/09541440802281142 [Google Scholar]
  25. Duong, A. , Whitehead, V. , Hanratty, K. , & Chertkow, H.
    (2006) The nature of lexico-semantic processing deficits in mild cognitive impairment. Neuropsychologia, 44 (10), 1928–1935. 10.1016/j.neuropsychologia.2006.01.034
    https://doi.org/10.1016/j.neuropsychologia.2006.01.034 [Google Scholar]
  26. Edwards, J. D. , Vance, D. E. , Wadley, V. G. , Cissell, G. M. , Roenker, D. L. , & Ball, K. K.
    (2005) Reliability and validity of useful field of view test scores as administered by personal computer. Journal of Clinical and Experimental Neuropsychology, 27 (5), 529–543. 10.1080/13803390490515432
    https://doi.org/10.1080/13803390490515432 [Google Scholar]
  27. Edwards, J. D. , Ross, L. A. , Wadley, V. G. , Clay, O. J. , Crowe, M. , Roenker, D. L. , & Ball, K. K.
    (2006) The useful field of view test: normative data for older adults. Archives of Clinical Neuropsychology, 21 (4), 275–286. 10.1016/j.acn.2006.03.001
    https://doi.org/10.1016/j.acn.2006.03.001 [Google Scholar]
  28. Eisenhauer, S. , Fiebach, C. J. , & Gagl, B.
    (2018) Dissociable prelexical and lexical contributions to visual word recognition and priming: Evidence from MEG and behavior. bioRxiv, 410795.
    [Google Scholar]
  29. Feldman, H. H. , & Woodward, M.
    (2005) The staging and assessment of moderate to severe Alzheimer disease. Neurology, 65 (6 suppl 3), S10–S17. 10.1212/WNL.65.6_suppl_3.S10
    https://doi.org/10.1212/WNL.65.6_suppl_3.S10 [Google Scholar]
  30. Feldman, H. H. , Van Baelen, B. , Kavanagh, S. M. , & Torfs, K. E.
    (2005) Cognition, function, and caregiving time patterns in patients with mild-to-moderate Alzheimer disease: a 12-month analysis. Alzheimer Disease & Associated Disorders, 19 (1), 29–36. 10.1097/01.wad.0000157065.43282.bc
    https://doi.org/10.1097/01.wad.0000157065.43282.bc [Google Scholar]
  31. Flowers, J. H. , Warner, J. L. , & Polansky, M. L.
    (1979) Response and encoding factors in “ignoring” irrelevant information. Memory & Cognition, 7 (2), 86–94. 10.3758/BF03197589
    https://doi.org/10.3758/BF03197589 [Google Scholar]
  32. Folstein, M. F. , Folstein, S. E. , & McHugh, P. R.
    (1975) “Mini-Mental State.” A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12 , 189–198. 10.1016/0022‑3956(75)90026‑6
    https://doi.org/10.1016/0022-3956(75)90026-6 [Google Scholar]
  33. Folstein, M. F. , Robins, L. N. , & Helzer, J. E.
    (1983) The mini-mental state examination. Archives of General Psychiatry, 40 (7), 812. 10.1001/archpsyc.1983.01790060110016
    https://doi.org/10.1001/archpsyc.1983.01790060110016 [Google Scholar]
  34. Fozard, J. L. , & Gordon-Salant, S.
    (2001) Changes in vision and hearing with aging. Handbook of the psychology of aging, 5, 241–66.
    [Google Scholar]
  35. Glosser, G. , Kohn, S. E. , Friedman, R. B. , Sands, L. , & Grugan, P.
    (1997) Repetition of single words and nonwords in Alzheimer’s disease. Cortex 33 , 653–666. 10.1016/S0010‑9452(08)70723‑8
    https://doi.org/10.1016/S0010-9452(08)70723-8 [Google Scholar]
  36. Gold, B. T. , Andersen, A. H. , Jicha, G. A. , & Smith, C. D.
    (2009) Aging influences the neural correlates of lexical decision but not automatic semantic priming. Cerebral Cortex, 19 (11), 2671–2679. 10.1093/cercor/bhp018
    https://doi.org/10.1093/cercor/bhp018 [Google Scholar]
  37. Gratton, G. , Coles, M. G. , & Donchin, E.
    (1983) A new method for off-line removal of ocular artifact. Electroencephalography and Clinical Neurophysiology, 55 (4), 468–484. 10.1016/0013‑4694(83)90135‑9
    https://doi.org/10.1016/0013-4694(83)90135-9 [Google Scholar]
  38. Grainger, J. , & Jacobs, A. M.
    (1996) Orthographic processing in visual word recognition: A multiple read-out model. Psychological Review, 103 (3), 518–565. 10.1037/0033‑295X.103.3.518
    https://doi.org/10.1037/0033-295X.103.3.518 [Google Scholar]
  39. Hale, S. , & Myerson, J.
    (1996) Experimental evidence for differential slowing in the lexical and nonlexical domains. Aging, Neuropsychology, and Cognition, 3 (2), 154–165. 10.1080/13825589608256621
    https://doi.org/10.1080/13825589608256621 [Google Scholar]
  40. Joubert, S. , Joncas, S. , Barbeau, E. , Joanette, Y. & Ska, B.
    (2006) Cognition. In S. Gauthier (Ed), Clinical diagnosis and management of Alzheimer’s disease, third edition (pp.165–176). Abington: Informa Healthcare.
    [Google Scholar]
  41. Juckel, G. , Karch, S. , Kawohl, W. , Kirsch, V. , Jager ,
    (2012) Age effects on the P300 potential and the corresponding fMRI BOLD-signal. Neuroimage, 60 (4), 2027–2034. 10.1016/j.neuroimage.2012.02.019
    https://doi.org/10.1016/j.neuroimage.2012.02.019 [Google Scholar]
  42. Katada, E. , Sato, K. , Ojika, K. , & Ueda, R.
    (2004) Cognitive event-related potentials: useful clinical information in Alzheimer’s disease. Current Alzheimer Research, 1 (1), 63–69. 10.2174/1567205043480609
    https://doi.org/10.2174/1567205043480609 [Google Scholar]
  43. Kavé, G. , & Levy, Y.
    (2005) The processing of morphology in old age: Evidence from Hebrew. Journal of Speech, Language, and Hearing Research, 48 (6), 1442–1451. 10.1044/1092‑4388(2005/100)
    https://doi.org/10.1044/1092-4388(2005/100) [Google Scholar]
  44. Kavé, G. , & Goral, M.
    (2018) Word retrieval in connected speech in Alzheimer’s disease: a review with meta-analyses. Aphasiology, 32 (1), 4–26. 10.1080/02687038.2017.1338663
    https://doi.org/10.1080/02687038.2017.1338663 [Google Scholar]
  45. Lee, M. S. , Lee, S. H. , Moon, E. O. , Moon, Y. J. , Kim, S. , Kim, S. H. , & Jung, I. K.
    (2013) Neuropsychological correlates of the P300 in patients with Alzheimer’s disease. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 40 , 62–69. 10.1016/j.pnpbp.2012.08.009
    https://doi.org/10.1016/j.pnpbp.2012.08.009 [Google Scholar]
  46. Lima, S. D. , Hale, S. , & Myerson, J.
    (1991) How general is general slowing? Evidence from the lexical domain. Psychology and Aging, 6 , 416–425. 10.1037/0882‑7974.6.3.416
    https://doi.org/10.1037/0882-7974.6.3.416 [Google Scholar]
  47. Luis, C. A. , Keegan, A. P. , & Mullan, M.
    (2009) Cross validation of the Montreal Cognitive Assessment in community dwelling older adults residing in the Southeastern US. International Journal of Geriatric Psychiatry, 24 (2), 197–201. 10.1002/gps.2101
    https://doi.org/10.1002/gps.2101 [Google Scholar]
  48. MacLeod, C. M.
    (1991) Half a century of research on the Stroop effect: an integrative review. Psychological Bulletin, 109 (2), 163–203. 10.1037/0033‑2909.109.2.163
    https://doi.org/10.1037/0033-2909.109.2.163 [Google Scholar]
  49. Madden, D. J.
    (1992) Four to ten milliseconds per year: age-related slowing of visual word identification. Journal of Gerontology, 47 , 59–68. 10.1093/geronj/47.2.P59
    https://doi.org/10.1093/geronj/47.2.P59 [Google Scholar]
  50. Madden, D. J. , Welsh-Bohmer, K. A. , & Tupler, L. A.
    (1999) Task complexity and signal detection analyses of lexical decision performance in Alzheimer’s disease. Developmental Neuropsychology, 16 (1), 1–18. 10.1207/S15326942DN160101
    https://doi.org/10.1207/S15326942DN160101 [Google Scholar]
  51. Massol, S. , Midgley, K. J. , Holcomb, P. J. , & Grainger, J.
    (2011) When less is more: feedback, priming, and the pseudoword superiority effect. Brain Research, 1386 , 153–164. 10.1016/j.brainres.2011.02.050
    https://doi.org/10.1016/j.brainres.2011.02.050 [Google Scholar]
  52. Massol, S. , Grainger, J. , Midgley, K. J. , & Holcomb, P. J.
    (2012) Masked repetition priming of letter-in-string identification: An ERP investigation. Brain Research, 1472 , 74–88. 10.1016/j.brainres.2012.07.018
    https://doi.org/10.1016/j.brainres.2012.07.018 [Google Scholar]
  53. McKhann, G. , Drachman, D. , Folstein, M. , Katzman, R. , Price, D. , & Stadlan, E. M.
    (1984) 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, 34 (7), 939–939. 10.1212/WNL.34.7.939
    https://doi.org/10.1212/WNL.34.7.939 [Google Scholar]
  54. McKhann, G. M. , Knopman, D. S. , Chertkow, H. , Hyman, B. T. , Jack Jr, C. R. ,
    (2011) The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia, 7 (3), 263–269. 10.1016/j.jalz.2011.03.005
    https://doi.org/10.1016/j.jalz.2011.03.005 [Google Scholar]
  55. Mecklinger, A. , & Ullsperger, P.
    (1993) P3 varies with stimulus categorization rather than probability. Electroencephalography and Clinical Neurophysiology, 86 (6), 395–407. 10.1016/0013‑4694(93)90135‑I
    https://doi.org/10.1016/0013-4694(93)90135-I [Google Scholar]
  56. Moberg, M. , Ferraro, F. R. , & Petros, T. V.
    (2000) Lexical properties of the Boston Naming Test stimuli: Age differences in word naming and lexical decision latency. Applied Neuropsychology, 7 (3), 147–153. 10.1207/S15324826AN0703_5
    https://doi.org/10.1207/S15324826AN0703_5 [Google Scholar]
  57. Myerson, J. , Ferraro, F. R. , Hale, S. , & Lima, S. D.
    (1992) General slowing in semantic priming and word recognition. Psychology and Aging, 7 (2), 257. 10.1037/0882‑7974.7.2.257
    https://doi.org/10.1037/0882-7974.7.2.257 [Google Scholar]
  58. Myerson, J. , Hale, S. , Chen, J. , & Lawrence, B.
    (1997) General lexical slowing and the semantic priming effect: The roles of age and ability. Acta Psychologica, 96 (1–2), 83–101. 10.1016/S0001‑6918(97)00002‑4
    https://doi.org/10.1016/S0001-6918(97)00002-4 [Google Scholar]
  59. Nasreddine, Z. S. , Phillips, N. A. , Bédirian, V. , Charbonneau, S. , Whitehead, V. , Collin, I. ,
    (2005) The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53 (4), 695–699. 10.1111/j.1532‑5415.2005.53221.x
    https://doi.org/10.1111/j.1532-5415.2005.53221.x [Google Scholar]
  60. Nikolaev, A. , Higby, E. , Hyun, J. , & Ashaie, S.
    (2019) Lexical decision task for studying written word recognition in adults with and without dementia or mild cognitive impairment. JoVE (Journal of Visualized Experiments), (148), e59753. 10.3791/59753
    https://doi.org/10.3791/59753 [Google Scholar]
  61. Olichney, J. M. , Yang, J. C. , Taylor, J. , & Kutas, M.
    (2011) Cognitive event-related potentials: biomarkers of synaptic dysfunction across the stages of Alzheimer’s disease. Journal of Alzheimer’s Disease, 26 , 215–228. 10.3233/JAD‑2011‑0047
    https://doi.org/10.3233/JAD-2011-0047 [Google Scholar]
  62. Parra, M. A. , Ascencio, L. L. , Urquina, H. F. , Manes, F. , & Ibáñez, A. M.
    (2012) P300 and neuropsychological assessment in mild cognitive impairment and Alzheimer dementia. Frontiers in Neurology, 3 , 172. 10.3389/fneur.2012.00172
    https://doi.org/10.3389/fneur.2012.00172 [Google Scholar]
  63. Pokryszko-Dragan, A. , Słotwiński, K. , & Podemski, R.
    (2003) Modality-specific changes in P300 parameters in patients with dementia of the Alzheimer type. Medical Science Monitor Basic Research, 9 (4), CR130-CR134.
    [Google Scholar]
  64. Polich, J. , & Corey-Bloom, J.
    (2005) Alzheimer’s disease and P300: review and evaluation of task and modality. Current Alzheimer Research, 2 (5), 515–525. 10.2174/156720505774932214
    https://doi.org/10.2174/156720505774932214 [Google Scholar]
  65. Polich, J.
    (2007) Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118 , 2128–2148. 10.1016/j.clinph.2007.04.019
    https://doi.org/10.1016/j.clinph.2007.04.019 [Google Scholar]
  66. Ratcliff, R. , Thapar, A. , Gomez, P. , & McKoon, G.
    (2004) A diffusion model analysis of the effects of aging in the lexical-decision task. Psychology and Aging, 19 (2), 278. 10.1037/0882‑7974.19.2.278
    https://doi.org/10.1037/0882-7974.19.2.278 [Google Scholar]
  67. Robert, C. , & Mathey, S.
    (2007) Aging and lexical inhibition: The effect of orthographic neighborhood frequency in young and older adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 62 (6), P340–P342. 10.1093/geronb/62.6.P340
    https://doi.org/10.1093/geronb/62.6.P340 [Google Scholar]
  68. Röschke, J. , Wagner, P. , Mann, K. , Fell, J. , Grözinger, M. & Frank, C.
    (1996) Single trial analysis of event related potentials: A comparison between schizophrenics and depressives. Biological Psychiatry, 40 (9), 844–852. 10.1016/0006‑3223(95)00652‑4
    https://doi.org/10.1016/0006-3223(95)00652-4 [Google Scholar]
  69. Ruz, M. , & Nobre, A. C.
    (2008) Attention modulates initial stages of visual word processing. Journal of Cognitive Neuroscience, 20 (9), 1727–1736. 10.1162/jocn.2008.20119
    https://doi.org/10.1162/jocn.2008.20119 [Google Scholar]
  70. Sereno, S. C. , & Rayner, K.
    (2003) Measuring word recognition in reading: eye movements and event-related potentials. Trends in Cognitive Sciences, 7 (11), 489–493. 10.1016/j.tics.2003.09.010
    https://doi.org/10.1016/j.tics.2003.09.010 [Google Scholar]
  71. Shaoul, C. , & Westbury, C.
    (2006) USENET Orthographic Frequencies for 111,627 English Words (2005–2006) Edmonton, AB: University of Alberta (downloaded fromwww.psych.ualberta.ca/~westburylab/downloads/wlfreq.download.html).
  72. Spironelli, C. , & Angrilli, A.
    (2007) Influence of phonological, semantic and orthographic tasks on the early linguistic components N150 and N350. International Journal of Psychophysiology, 64 (2), 190–198. 10.1016/j.ijpsycho.2007.02.002
    https://doi.org/10.1016/j.ijpsycho.2007.02.002 [Google Scholar]
  73. (2009) Developmental aspects of automatic word processing: language lateralization of early ERP components in children, young adults and middle-aged subjects. Biological Psychology, 80 (1), 35–45. 10.1016/j.biopsycho.2008.01.012
    https://doi.org/10.1016/j.biopsycho.2008.01.012 [Google Scholar]
  74. Spironelli, C. , Penolazzi, B. , & Angrilli, A.
    (2010) Gender differences in reading in school-aged children: an early ERP study. Developmental Neuropsychology, 35 (4), 357–375. 10.1080/87565641.2010.480913
    https://doi.org/10.1080/87565641.2010.480913 [Google Scholar]
  75. Stadtlander, L. M.
    (1995) Age differences in orthographic and frequency neighborhoods. Advances in Psychology, 110 , 72–86. 10.1016/S0166‑4115(06)80066‑X
    https://doi.org/10.1016/S0166-4115(06)80066-X [Google Scholar]
  76. Stroop, J. R.
    (1935) Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18 (6), 643–662. 10.1037/h0054651
    https://doi.org/10.1037/h0054651 [Google Scholar]
  77. Taler, V. , & Jarema, G.
    (2007) Lexical access in younger and older adults: the case of the mass/count distinction. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, 61 (1), 21–34. 10.1037/cjep2007003
    https://doi.org/10.1037/cjep2007003 [Google Scholar]
  78. Taler, V. , & Phillips, N. A.
    (2008) Language performance in Alzheimer’s disease and mild cognitive impairment: a comparative review. Journal of Clinical and Experimental Neuropsychology, 30 (5), 501–556. 10.1080/13803390701550128
    https://doi.org/10.1080/13803390701550128 [Google Scholar]
  79. Yap, M. J. , & Balota, D. A.
    (2019) Visual word recognition. Oxford University Press.
    [Google Scholar]
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Keyword(s): aging; Alzheimer’s disease; event-related potentials (ERP); lexical decision; lexical processing; lexicality; oddball task; P3 component

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