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Chapter 8 - Aging-Related Alterations in Language

Published online by Cambridge University Press:  30 November 2019

Kenneth M. Heilman
Affiliation:
University of Florida
Stephen E. Nadeau
Affiliation:
University of Florida
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Summary

Aging is associated with decline in a number of domains of language function, most conspicuously lexical-semantic function (manifesting as word-finding difficulty), but also semantics, phonological sequence, grammatic morphology, language comprehension, syntax (so far linked only to working memory deficits), and narrative discourse. There is evidence of a number of non-disease-related mechanisms that could account for this, including increased neural network noise, age of acquisition effects, deterioration of mechanisms of selective neural network engagement, deterioration in episodic memory, alteration of the balance between volitional and reactive intention, lifelong ontogenesis of language networks, and reduction of white matter conduction velocities.

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Publisher: Cambridge University Press
Print publication year: 2019

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References

Burke, DM, Shafto, MA. Language and aging. In: Craik, FIM, Salthouse, TA, editors. Handbook of Aging and Cognition. Mahwah, NJ: Lawrence Erlbaum; 2007, pp. 373443.Google Scholar
Write, HH. Cognition, Language and Aging. Amsterdam: John Benjamins; 2016.Google Scholar
Nadeau, SE. The Neural Architecture of Grammar. Cambridge, MA: MIT Press; 2012.Google Scholar
Nadeau, SE. Phonology: a review and proposals from a connectionist perspective. Brain Lang. 2001;79:511–79.CrossRefGoogle ScholarPubMed
Plaut, DC, McClelland, JL, Seidenberg, MS, Patterson, K. Understanding normal and impaired word reading: computational principles in quasi-regular domains. Psychol Rev. 1996;103:56115.Google Scholar
Bohsali, A, Gullett, J, Mareci, T, Crosson, B, Fitzgerald, D, White, K, et al. Structural connectivity of Broca’s region. Neurology. 2016;86[16 Supplement]:I7.004.Google Scholar
Bohsali, AA, Gullett, JM, Mareci, T, FitzGerald, DB, Crosson, B, White, K, et al. Frontal Lobe Language Pathways. Chicago: Society for Neuroscience; 2015.Google Scholar
Shuren, J, Heilman, KM. Non-optic aphasia. Neurology. 1993;43:1900–7.Google Scholar
Beauvois, MF, Saillant, B. Optic aphasia for colours and colour agnosia: a distinction between visual and visuo-verbal impairments in the processing of colours. Cogn Neuropsychol. 1985;2:148.CrossRefGoogle Scholar
Lhermitte, F, Beauvois, MF. A visual-speech disconnexion syndrome. Report of a case with optic aphasia, agnosic alexia and colour agnosia. Brain. 1973;96:695715.Google Scholar
Bowles, RP, Salthouse, TA. Vocabulary test format and differential relations to age. Psychol Aging. 2008;23:366–76.CrossRefGoogle ScholarPubMed
Marini, A, Boewe, A, Caltagirone, C, Carlomagno, S. Age-related differences in the production of textual descriptions. J Psycholinguist Res. 2005;34:439–63.Google Scholar
Schmitter-Edgecombe, M, Vesneski, M, Jones, DWR. Aging and word-finding: a comparison of spontaneous and constrained naming tests. Arch Clin Neuropsychol. 2000;15:479–93.Google Scholar
Salthouse, TA, Mandell, AR. Do age-related increases in tip-of-the-tongue experiences signify episodic memory impairments? Psychol Sci. 2013;24:2489–97.Google Scholar
Evrard, M. Ageing and lexical access to common and proper nouns in picture naming. Brain Lang. 2002;81:174–9.Google Scholar
Rendell, PG, Castel, AD, Craik, FIM. Memory for proper names in old age: a disproportionate impairment? Q J Exp Psychol. 2005;58A:5471.Google Scholar
James, LE. Specific effects of aging on proper name retrieval: now you see them, now you don’t. J Gerontol B Psychol Sci. 2006;61B:P180P183.CrossRefGoogle Scholar
Zec, RF, Burkett, NR, Markwell, SJ, Larsen, DL. A cross-sectional study of the effects of age, education and gender on the Boston Naming Test. Clin Neuropsychol. 2007;21:587616.Google Scholar
MacKay, A, Connor, LT, Storandt, M. Dementia does not explain correlation between age and scores on Boston Naming Test. Arch Clin Neuropsychol. 2005;20:129–33.Google Scholar
Zec, RF, Markwell, SJ, Burkett, NR, Larsen, DL. A longitudinal study of confrontation naming in the “normal” elderly. J Int Neuropsychol Soc. 2005;11:716–26.CrossRefGoogle ScholarPubMed
Tabor Connor, L, Spiro, A, Obler, LK, Albert, ML. Change in object naming ability during adulthood. J Gerontol B Psychol Sci Soc Sci. 2004;59:203–9.Google Scholar
MacKay, DG, James, LE. Sequencing, speech production, and selective effects of aging on phonological and morphological speech errors. Psychol Aging. 2004;19:93107.Google Scholar
Sommers, MS, Hale, S, Myerson, J, Rose, N, Tye-Murray, N, Spehar, B. Listening comprehension across the adult lifespan. Ear Hear. 2011;32:775–81.Google ScholarPubMed
Kemper, S, Sumner, A. The structure of verbal abilities in young and old adults. Psychol Aging. 2001;16:312–22.Google Scholar
Kemper, S, Thompson, M, Marquis, J. Longitudinal change in language production: effects of aging and dementia on grammatical complexity and propositional content. Psychol Aging. 2001;16:600–14.Google Scholar
Kavé, G, Levy, Y. The processing of morphology in old age: evidence from Hebrew. J Speech Lang Hear Res. 2005;48:1442–51.Google Scholar
Wright, HH, Capilouto, GJ, Srinivasan, C, Fergodiotis, G. Story processing ability in cognitively healthy younger and older adults. J Speech Lang Hear Res. 2011;54:900–17.CrossRefGoogle ScholarPubMed
Saling, LL, Laroo, N, Saling, MM. When more is less: failure to compress discourse with re-telling in normal aging. Acta Psychol [Amst]. 2012;139:220–4.Google Scholar
Horton, WS, Spieler, DH. Age-related differences in communication and audience design. Psychol Aging. 2007;22:281–90.CrossRefGoogle ScholarPubMed
Bidelman, GM, Villafuerte, JW, Moreno, S, Alain, C. Age-related changes in the subcortico-cortical encoding and categorical perception of speech. Neurobiol Aging. 2014;35:2526–40.Google Scholar
Nelson, PT, Trojanowski, JQ, Abner, EL, Al-Janabi, OM, Jicha, GA, Schmitt, FA, et al. “New old pathologies”: AD, PART, and cerebral age-related TDP-43 with sclerosis [CARTS]. J Neuropathol Exp Neurol. 2016;75:482–98.Google Scholar
Neltner, JH, Abner, EL, Jicha, GA, Schmitt, FA, Patel, E, Poon, LW, et al. Brain pathologies in extreme old age. Neurobiol Aging. 2016;37:111.CrossRefGoogle ScholarPubMed
Blass, DM, Hatanpaa, KJ, Brandt, J, Rao, V, Steinberg, M, Troncoso, JC, et al. Dementia in hippocampal sclerosis resembles frontotemporal dementia more than Alzheimer disease. Neurology. 2004;63:492–7.Google Scholar
Kryscio, RJ, Abner, EL, Nelson, PT, Benbnett, D, Schneider, J, Yu, L, et al. The effect of vascular neuropathology on late-life cognition: results from the SMART Project. J Prev Alzheimers Dis. 2016;3:8591.Google Scholar
Voytek, B, Kramer, MA, Case, J, Lepage, KQ, Tempesta, ZR, Knight, RT, et al. Age-related changes in 1/f neural electrophysiological noise. J Neurosci. 2015;23:13257–65.Google Scholar
Rogers, TT, McClelland, JL. Semantic Cognition: A Parallel Distributed Processing Approach. Cambridge, MA: MIT Press; 2004.Google Scholar
Conley, P, Burgess, C. Age effects on a computational model of memory. Brain Cogn. 2000;43:104–8.Google ScholarPubMed
Mirman, D, Magnuson, JS. Attractor dynamics and semantic neighborhood density: processing is slowed by near neighbors and speeded by distant neighbors. J Exp Psychol Learn Mem Cogn. 2008;34:6579.Google Scholar
Mirman, D. Effects of near and distant semantic neighbors on word production. Cogn Affect Behav Neurosci. 2011;11:3243.Google Scholar
Buchanan, L, Burgess, C, Conley, P. Overcrowding in semantic neighborhoods: modeling deep dyslexia. Brain Cogn. 1996;30:111–14.Google Scholar
Burgess, C, Conley, P. Developing semantic representations for proper nouns. In: Proceedings of the Cognitive Science Society. Hillsdale, NJ: Erlbaum; 1998, pp. 185–90.Google Scholar
Tournier, I, Postal, V, Mathey, S. Investigation of age-related differences in an adapted Hayling task. Arch Gerontol Geriatr. 2014;59:599606.Google Scholar
Vitevitch, MS, Luce, PA. Phonological neighborhood effects in spoken word perception and production. Ann Rev Linguist. 2016;2:7594.Google Scholar
Sommers, MS, Danielson, SM. Inhibitory processes and spoken word recognition in young and older adults: the interaction of lexical competition and semantic context. Psychol Aging. 1999;14:458–72.Google Scholar
Taler, V, Aaron, GP, Steinmetz, LG, Pisoni, DB. Lexical neighborhood density effects on spoken word recognition and production in healthy aging. J Gerontol Psychol Sci. 2010;65B:551–60.Google Scholar
Sommers, MS. The structural organization of the mental lexicon and its contribution to age-related declines in spoken word recognition. Psychol Aging. 1996;11:333–41.Google Scholar
Newman, RS, German, DJ. Life span effects of lexical factors on oral naming. Lang Aphasia. 2005;48:123–56.Google Scholar
Vitevitch, MS, Sommers, MS. The facilitative influence of phonological similarity and neighborhood frequency in speech production in younger and older adults. Mem Cogn. 2003;31:494504.Google Scholar
Vitevitch, MS, Luce, PA. Probabilistic phonotactics and neighborhood activation in spoken word recognition. J Mem Lang. 1999;40:374408.Google Scholar
Vitevitch, MS, Luce, PA. Increases in phonotactic probability facilitate spoken nonword repetition. J Mem Lang. 2005;52:193204.Google Scholar
Ellis, A, Lambon Ralph, MA. Age of acquisition effects in adult lexical processing reflect loss of plasticity in maturing systems: insights from connectionist networks. J Exp Psychol Learn Mem Cogn. 2000;26:1103–23.Google Scholar
Lambon Ralph, MA, Ehsan, S. Age of acquisition effects depend on the mapping between representations and the frequency of occurrence: empirical and computational evidence. Visual Cogn. 2006;13:928–48.Google Scholar
Hinton, GE, Shallice, T. Lesioning an attractor network: investigations of acquired dyslexia. Psych Rev. 1991;98:7495.Google Scholar
Hodges, JR, Graham, N, Patterson, K. Charting the progression in semantic dementia: implications for the organization of semantic memory. Memory. 1995;3:463–95.Google Scholar
Rogers, TT, Lambon Ralph, MA, Garrard, P, Bozeat, S, McClelland, JL, Hodges, JR, et al. Structure and deterioration of semantic memory: a neuropsychological and computational investigation. Psych Rev. 2004;111:205–35.Google Scholar
Catling, J, South, F, Dent, K. The effect of age of acquisition on older individuals with and without cognitive impairments. Q J Exp Psychol. 2013;66:1963–73.Google Scholar
Morrison, CM, Hirsh, KW, Chappell, T, Ellis, AW. Age and age of acquisition: an evaluation of the cumulative frequency hypothesis. Eur J Cogn Psychol. 2002;14:435–59.Google Scholar
Tononi, G, Cirelli, C. Sleep and the price of plasticity; from synaptic and cellular homeostasis to memory consolidation and integration. Neuron. 2014;81:1234.Google Scholar
Desimone, R, Duncan, D. Neural mechanisms of selective visual attention. Ann Rev Neurosci. 1995;18:193222.Google Scholar
Moran, J, Desimone, R. Selective attention gates visual processing in extrastriate cortex. Science. 1985;229:782–4.Google Scholar
Nadeau, SE, Crosson, B. Subcortical aphasia. Brain Lang. 1997;58:436–58.Google Scholar
Cansino, S, Hernández-Ramos, E, Estrada-Manilla, C, et al. The decline in verbal and visuospatial working memory across the adult life span. Age Aging. 2013;35:2283–302.Google Scholar
Kavé, G, Knafo-Noam, A. Lifespan development of phonemic and semantic fluency: universal increase, differential decrease. J Clin Exp Neuropsychol. 2015;37:751–63.CrossRefGoogle ScholarPubMed
Kemper, S, Herman, R, Lian, C. Age differences in sentence production. J Gerontol Psycholog Sci. 2003;58B:P260P268.Google Scholar
Rolls, ET, Deco, G. Stochastic cortical neurodynamics underlying the memory and cognitive changes in aging. Neurobiol Learn Mem. 2015;118:150–61.Google Scholar
Nadeau, SE. Attractor basins: a neural basis for the conformation of knowledge. In: Chatterjee, A, Coslett, HB, editors. The Roots of Cognitive Neuroscience. Oxford: Oxford University Press; 2014, pp. 305–33.Google Scholar
Alvarez, P, Squire, LR. Memory consolidation and the medial temporal lobe: a simple network model. Proc Natl Acad Sci USA. 1994;91:7041–5.Google Scholar
McClelland, JL, McNaughton, BL, O’Reilly, RC. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psych Rev. 1995;102:419–57.Google Scholar
Rolls, ET, Treves, A. Neural Networks and Brain Function. New York: Oxford University Press; 1998.Google Scholar
Squire, LR, Zola-Morgan, S. The medial temporal lobe memory system. Science. 1991;253:1380–6.Google Scholar
Vargha-Khadem, F, Gadian, DG, Watkins, KE, Connelly, A, Van Paesschen, W, Mishkin, M. Differential effects of early hippocampal pathology on episodic and semantic memory. Science. 1997;277:376–80.Google Scholar
Cohen, G, Burke, DM. Memory for proper names: a review. Memory. 1993;1:249–63.Google Scholar
Burke, DM, Locantore, JK, Austin, AA, Chae, B. Cherry pit primes Brad Pitt. Homophone priming effects on young and older adults’ production of proper names. Psychol Sci. 2004;15:164–70.Google Scholar
Nadeau, SE, Heilman, KM. Frontal mysteries revealed. Neurology. 2007;68:1450–3.Google Scholar
Chavis, DA, Pandya, DN. Further observations on corticofrontal connections in the rhesus monkey. Brain Res. 1976;117:369–86.Google Scholar
Goldman-Rakic, PS. Cellular and circuit basis of working memory in prefrontal cortex of nonhuman primates. Prog Brain Res. 1990;85:325–36.Google Scholar
Ongür, D, Price, JL. The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys and humans. Cereb Cortex. 2000;10:206–19.Google Scholar
Rizzolatti, G, Craighero, L. The mirror-neuron system. Ann Rev Neurosci. 2004;27:169–92.Google Scholar
Adólfsdóttir, S, Wollschlaeger, D, Wehling, E, Lundervold, AJ. Inhibition and switching in healthy aging: a longitudinal study. J Int Neuropsychol Soc. 2017;23:90–7.Google Scholar
Aschenbrenner, AJ, Balota, DA. Interactive effects of working memory and trial history on Stroop interference in cognitively healthy aging. Psychol Aging. 2015;30:18.CrossRefGoogle ScholarPubMed
Hankee, LD, Preis, SR, Piers, RJ, Beiser, AS, Devine, SA, Liu, Y, et al. Population normative data for the CERAD word list and Victoria Stroop Test in young- and middle-aged adults: cross-sectional analyses from the Framingham Heart Study. Exp Aging Res. 2016;42:315–28.Google Scholar
Troyer, AK, Leach, L, Strauss, E. Aging and response inhibition: normative data for the Victoria Stroop Test. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2006;13:2035.Google Scholar
Adler, LA, Solanto, M, Escobar, R, Lipsius, S, Upadhyaya, H. Executive functioning outcomes over 6 months of atomoxetine for adults with ADHD: relationship to maintenance of response and relapse over the subsequent 6 months after treatment. J Atten Disord. 2016. DOI 10.1177/10870547166644.Google Scholar
Bron, TI, Bijlenga, D, Boonstra, AM, Breuk, M, Pardoen, WFH, Beekman, ATF, et al. OROS-methylphenidate efficacy on specific executive functioning deficits in adults with ADHD: a randomized, placebo-controlled cross-over study. Eur Neuropsychopharmacol. 2014;24:519–28.Google Scholar
Jäkälä, P, Riekkinen, M, Sirviö, J, Koivisto, E, Kejonen, K, Vanhanen, M, et al. Guanfacine but not clonidine improves planning and working memory performance in humans. Neuropsychopharmacol. 1999;20:460–70.Google Scholar
van Dyck, CH. Guanfacine treatment for prefrontal cognitive dysfunction in elderly subjects. 2014; Clinicaltrials.gov: NCT00935493.Google Scholar
Basso, A, Bracchi, M, Capitani, E, Laiacona, M, Zanobio, ME. Age and evolution of language area functions. A study of adult stroke patients. Cortex. 1987;23:475–83.Google Scholar
Brown, JW, Grober, E. Age, sex, and aphasia type. Evidence for a regional cerebral growth process underlying lateralization. J Nerv Ment Dis. 1983;171:431–4.Google Scholar
Kertesz, A, Sheppard, A. The epidemiology of aphasic and cognitive impairment in stroke. Age, sex, aphasia type, and laterality differences. Brain. 1981;104:117–28.Google Scholar
Miceli, G, Caltagirone, C, Gainotti, G, Masullo, C, Silveri, MC, Villa, G. Influence of age, sex, literacy and pathologic lesion on incidence, severity and type of aphasia. Acta Neurol Scand. 1981;64:370–82.Google Scholar
Brown, JW, Jaffe, J. Hypothesis on cerebral dominance. Neuropsychologia. 1975;13:107–10.Google Scholar
Obler, LK, Albert, ML, Goodglass, H, Benson, DF. Aphasia type and aging. Brain Lang. 1978;6:318–22.Google Scholar
Seidenberg, MS, McClelland, JL. A distributed, developmental model of word recognition and naming. Psych Rev. 1989;96:523–68.Google Scholar
Hultsch, DF, Hertzog, C, Small, BJ, Dixon, RA. Use it or lose it: engaged lifestyle as a buffer of cognitive decline in aging? Psychol Aging. 1999;14:245–63.Google Scholar
Bourassa, KJ, Memel, M, Woolverton, C, Sbarra, DA. Social participation predicts cognitive functioning in aging adults over time: comparisons with physical health, depression, and physical activity. Aging Ment Health. 2015;21:133–46.Google Scholar
James, BD, Wilson, RS, Barnes, LL, Bennett, DA. Late-life social activity and cognitive decline in old age. J Int Neuropsychol Soc. 2011;17:9981005.Google Scholar
Brown, CL, Gibbons, LE, Kennison, RF, Robitaille, A, Lindwall, M, Mitchell, MB, et al. Social activity and cognitive functioning over time: a coordinated analysis of four longitudinal studies. J Aging Res. 2012; 2012:287438.Google Scholar
Mitchell, MB, Cimino, CR, Benitez, A, Brown, CL, Gibbons, LE, Kennison, RF, et al. Cognitively stimulating activities: effects on cognition across four studies with up to 21 years of longitudinal data. J Aging Res. 2012; 2012:461592.Google Scholar
McGue, M, Christensen, K. Social activity and healthy aging: a study of aging Danish twins. Twin Res Hum Genet. 2007;10:255–65.Google Scholar
Davidson, T, Tremblay, F. Age and hemispheric differences in trancallosal inhibition between motor cortices: an ipsilateral silent period study. BMC Neurosci. 2013;14:62.Google Scholar
Shibuya, K, Park, SB, Geevasinga, N, Huynh, W, Simon, NG, Menon, P, et al. Threshold tracking transcranial magnetic stimulation: effects of age and gender on motor cortical function. Clin Neurophysiol. 2016;127:2355–61.Google Scholar
Shrager, Y, Levy, DA, Hopkins, RO, Squire, LR. Working memory and the organization of brain systems. J Neuroscience. 2008;28:4818–22.Google Scholar
Nadeau, SE. Hemispheric asymmetry: what, why, and at what cost? J Int Neuropsychol Soc. 2010;27:13.Google Scholar

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