自然言语产生中的老化与适应：流畅性与连贯性的权衡*

刘承池; 宣宾

doi:10.16719/j.cnki.1671-6981.20250110

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心理科学 ›› 2025, Vol. 48 ›› Issue (1) : 97-106. DOI: 10.16719/j.cnki.1671-6981.20250110

发展与教育

自然言语产生中的老化与适应：流畅性与连贯性的权衡^*

刘承池, 宣宾^**

作者信息 +

Aging and Adaptation in Natural Speech Production: The Trade-Off Between Fluency and Coherence

Liu Chengchi, Xuan Bin

Author information +

文章历史 +

摘要

言语流畅性与连贯性多被用于单独评价老年人的言语产生质量。伴随年龄增长老年人在自然言语产生中常常无法兼顾二者,或因社交动机提高流畅性而损失连贯性,或在任务需求下提高连贯性导致流畅性下降,表现为对流畅性和连贯性的权衡。语用改变理论和抑制损伤理论可以解释老年人权衡不同言语产生指标的动机和认知机制,双侧背外侧前额叶、额下回和角回作为言语流畅性和连贯性共享的神经基础支持两者的权衡,颞上回、颞中回与右背外侧前额叶则分别在流畅性和连贯性中发挥重要作用。未来研究应突破对言语产生老化的单一评价标准,区分不同老化阶段中言语产生的差异,进一步探索老年人言语加工的动态变化模式。

Abstract

Speech fluency and coherence are two important indicators for assessing age-related changes in speech production, representing the global and local processing of speech planning in older adults respectively. With increasing age, older adults often exhibit off-topic and declines in fluency. Previous studies have relied primarily on controlled laboratory experiments that predominantly focused on the vocabulary and sentence-level analysis, which may not fully capture the complexity of real-life speech situations. In addition, these studies have typically examined age-related changes in fluency and coherence independently without considering the interaction, leading to inconsistent results.
The term “natural language” refers to the spontaneous speech in real-life contexts. In the context of natural communication, the environment is characterized by complexity and variability, which may affect the quality of speech production in elderly individuals due to changes in their language abilities and cognitive functions. However, it is often overlooked that older adults engage in a trade-off between verbal fluency and coherence within natural situations, influenced by external factors and their own cognitive abilities. They assess their cognitive abilities, increase fluency by relying on familiar topics, and compromise global discourse coherence; alternatively, they may slow down the pace of conversation to allow for more time to plan and sustain social interaction. By employing these adaptive strategies, older adults demonstrate a discernible trade-off between fluency and coherence.
The trade-off and adaptive changes of the elderly individuals in discourse communication can be explained by the pragmatic change hypothesis at the social level and the inhibition deficit hypothesis at the cognitive level. According to the pragmatic change hypothesis, older adults exhibit changes in speech production due to their increased focus on conversational processes and the opportunities for interaction, aiming to achieve specific communication goals. Therefore, older adults must make trade-offs to maintain the quality of information exchange, sacrificing some fluency for a tightly focused discourse or deviating from the topic to ensure fluency in speech, which is closely related to individual communicative motivations and task demands. Individual cognitive function, particularly inhibitory control function, plays a crucial role in speech production. Inhibitory control skills help maintain conversation topics, update the content of speech, and facilitate transformation. The inhibition deficit hypothesis suggests that the older adults struggle with suppressing task-irrelevant thoughts and content, making them more prone to introducing unrelated topics during conversations. This leads to more irrelevant information entering working memory and consequently affecting coherent speech expression. At the same time, older adults may also reduce fluency by slowing their speaking rate to allow sufficient time to inhibit irrelevant information interference.
Previous studies have shown a significant overlap between the brain regions involved in the speech fluency task and those involved in the coherent propositional speech task. Specifically, bilateral frontal lobes, particularly the dorsolateral prefrontal cortex, inferior frontal gyrus, and angular gyrus, have been identified as shared neural substrates underlying the trade-off between speech fluency and coherence. Additionally, several distinct regions play crucial roles in either verbal fluency or coherence processing independently, such as the superior temporal gyrus and middle temporal gyrus involved in fluency processing, and the right dorsolateral prefrontal cortex involved in coherence processing.
There is a lack of systematic research on the dynamic pattern of fluent and coherent speech in older adults. In the future, it is necessary to go beyond the single evaluation standard of speech aging and use natural language processing technology to analyze the speech in interactive situations with brain imaging studies. The comprehensive exploration should include various factors influencing speech aging and investigate how older adults can effectively balance their limited cognitive resources to achieve optimal adaptation based on their cognitive abilities. These discussions will contribute to the understanding of the mechanisms underlying adaptive changes in speech aging and facilitate targeted improvement of speech production in older adults.

导出引用

刘承池, 宣宾. 自然言语产生中的老化与适应：流畅性与连贯性的权衡^*[J]. 心理科学. 2025, 48(1): 97-106 https://doi.org/10.16719/j.cnki.1671-6981.20250110

Liu Chengchi, Xuan Bin. Aging and Adaptation in Natural Speech Production: The Trade-Off Between Fluency and Coherence[J]. Journal of Psychological Science. 2025, 48(1): 97-106 https://doi.org/10.16719/j.cnki.1671-6981.20250110

参考文献

[1] 白学军, 周菘, 刘颖, 杨海波, 王超. (2016). 中文音素言语流畅性任务的近红外脑功能成像研究. 心理科学, 39(3), 520-526.
[2] 陈栩茜, 张积家, 朱云霞. (2015). 言语产生老化中的抑制损伤: 来自不同任务的证据. 心理学报, 47(3), 329-343.
[3] 蒋嘉浩, 赵国钰, 马英博, 丁国盛, 刘兰芳.(2023). 语义在人脑中的分布式表征:来自自然语言处理技术的证据. 心理科学进展, 31(6), 1002-1019.
[4] 王少楠, 丁鼐, 林楠, 张家俊, 宗成庆. (2022). 语言认知与语言计算——人与机器的语言理解. 中国科学: 信息科学, 52(10), 1748-1774.
[5] 尹述飞, 彭华茂. (2013). 偏题言语及其老化机制. 心理科学进展, 21(3), 487-494.
[6] 张积家, 陆爱桃. (2007). 语音回路和视空间模板对音位流畅性和语义流畅性的影响. 心理学报, 39(6), 1012-1024.
[7] 章丽娜, 宣宾. (2022). 语言产生中词频效应老化的神经基础与时间进程. 心理科学进展, 30(2), 333-342.
[8] 周晶, 宣宾. (2018). 额叶区域的经颅直流电刺激对抑制控制的影响. 心理科学进展, 26(11), 1976-1991.
[9] Abrams, L., & White, K. (2023). Healthy aging and communication: The complexities of, um, fluent speech production. In J. Guendouzi, F. Loncke, & M. J. Williams (Eds.), The Routledge International handbook of psycholinguistic and cognitive processes(pp. 49-60). Routledge.
[10] Alyahya R. S., Lambon Ralph M. A., Halai A., & Hoffman P. (2022). The cognitive and neural underpinnings of discourse coherence in post-stroke aphasia. Brain Communications, 4(3), Article fcac147.
[11] Arbuckle T. Y., Nohara-LeClair M., & Pushkar D. (2000). Effect of off-target verbosity on communication efficiency in a referential communication task. Psychology and Aging, 15(1), 65-77.
[12] Arslan, B., & Göksun, T. (2022). Aging, gesture production, and disfluency in speech: A comparison of younger and older adults. Cognitive Science, 46(2), e13098.
[13] Atapattu T., Falkner K., & Falkner N. (2017). A comprehensive text analysis of lecture slides to generate concept maps. Computers and Education, 115, 96-113.
[14] Bambini V., Tonini E., Ceccato I., Lecce S., Marocchini E., & Cavallini E. (2020). How to improve social communication in aging: Pragmatic and cognitive interventions. Brain and language, 211, Article 104864.
[15] Barker M. S., Young B., & Robinson G. A. (2017). Cohesive and coherent connected speech deficits in mild stroke. Brain and language, 168, 23-36.
[16] Barnett, M., & Coldiron, A. (2022). Off-topic verbosity: Relationships between verbal abilities and speech characteristics among young and older adults. Applied Neuropsychology: Adult, 29(6), 1362-1368.
[17] Beier E. J., Chantavarin S., & Ferreira F. (2023). Do disfluencies increase with age? Evidence from a sequential corpus study of disfluencies. Psychology and aging, 38(3), 203-218.
[18] Blank S. C., Scott S. K., Murphy K., Warburton E., & Wise, R. J. S. (2002). Speech production: Wernicke, Broca and beyond. Brain, 125(8), 1829-1838.
[19] Cosgrove A. L., Beaty R. E., Diaz M. T., & Kenett Y. N. (2023). Age differences in semantic network structure: Acquiring knowledge shapes semantic memory. Psychology and Aging, 38(2), 87-102.
[20] Dennis, P. A., & Hess, T. M. (2016). Aging-related gains and losses associated with word production in connected speech. Aging, Neuropsychology and Cognition, 23(6), 638-650.
[21] Engelhardt P. E., Corley M., Nigg J. T., & Ferreira F. (2010). The role of inhibition in the production of disfluencies. Memory and Cognition, 38(5), 617-628.
[22] Engelhardt P. E., Veld S. N., Nigg J. T., & Ferreira F. (2012). Are language production problems apparent in adults who no longer meet diagnostic criteria for attention-deficit/hyperactivity disorder? Cognitive Neuropsychology, 29(3), 275-299.
[23] Frankenberg C., Weiner J., Knebel M., Abulimiti A., Toro P., Herold C. J., Schröder J. (2021). Verbal fluency in normal aging and cognitive decline: Results of a longitudinal study. Computer Speech and Language, 68, Article 101195.
[24] Gawron, N. (2006). Fluency and narrative discourse in the elderly. Acta Neuropsychologica, 4(4), 296-312.
[25] Glosser, G., & Deser, T. (1992). A comparison of changes in macrolinguistic and microlinguistic aspects of discourse production in normal aging. Journal of Gerontology, 47(4), P266-P272.
[26] Gollan, T. H., & Goldrick, M. (2019). Aging deficits in naturalistic speech production and monitoring revealed through reading aloud. Psychology and Aging, 34(1), 25-42.
[27] Gósy, M., & Silber-Varod, V. (2021). Attached filled pauses: Occurrences and durations. Paper presented at Workshop on Disfluency in Spontaneous Speech (DiSS 2021), Paris, France.
[28] Hahn M., Degen J., & Futrell R. (2021). Modeling word and morpheme order in natural language as an efficient trade-off of memory and surprisal. Psychological Review, 128(4), 726-756.
[29] Hamilton, L. S., & Huth, A. G. (2020). The revolution will not be controlled: Natural stimuli in speech neuroscience. Language, Cognition and Neuroscience Letters, 35(5), 573-582.
[30] Heinzel S., Metzger F. G., Ehlis A. C., Korell R., Alboji A., Haeussinger F. B., . Fallgatter A. J. (2015). Age and vascular burden determinants of cortical hemodynamics underlying verbal fluency. PLoS ONE, 10(9), Article e0138863.
[31] Hoffman, P. (2019). Reductions in prefrontal activation predict off-topic utterances during speech production. Nature Communications, 10(1), Article 515.
[32] Hoffman P., Cogdell-Brooke L., & Thompson H. E. (2020). Going off the rails: Impaired coherence in the speech of patients with semantic control deficits. Neuropsychologia, 146, Article 107516.
[33] Hoffman P., Loginova E., & Russell A. (2018). Poor coherence in older people's speech is explained by impaired semantic and executive processes. eLife, 7, e38907.
[34] Horton W. S., Spieler D. H., & Shriberg E. (2010). A corpus analysis of patterns of age-related change in conversational speech. Psychology and Aging, 25(3), 708-713.
[35] Jackson, R. L. (2021). The neural correlates of semantic control revisited. NeuroImage, 224, Article 117444.
[36] Jafari Z., Kolb B. E., & Mohajerani M. H. (2019). Age-related hearing loss and tinnitus, dementia risk, and auditory amplification outcomes. Ageing Research Reviews, 56, Article 100963.
[37] James L. E., Burke D. M., Austin A., & Hulme E. (1998). Production and perception of" verbosity" in younger and older adults. Psychology and Aging, 13(3), 355-367.
[38] Kavé, G., & Knafo-Noam, A. (2015). Lifespan development of phonemic and semantic fluency: Universal increase, differential decrease. Journal of Clinical and Experimental Neuropsychology, 37(7), 751-763.
[39] Li Y.,Q. Li,P. Yang,Q. X. Eslinger,P. J. Sica,C. T. & Karunanayaka,P. (2017). Lexical-semantic search under different covert verbal fluency tasks: An fMRI study. Frontiers in Behavioral Neuroscience, 11, 131.
[40] Luo M.,X. Neysari,M. Schneider,G. Martin,M. & Demiray,B. (2020). Linear and nonlinear age trajectories of language use: A laboratory observation study of couples' conflict conversations. The Journals of Gerontology: Series B, 75(9), e206-e214.
[41] Metz, M. J., & James, L. E. (2019). Specific effects of the Trier Social Stress Test on speech fluency in young and older adults. Aging, Neuropsychology and Cognition, 26(4), 558-576.
[42] Morales M., Patel T., Tamm A., Pickering M. J., & Hoffman P. (2022). Similar neural networks respond to coherence during comprehension and production of discourse. Cerebral Cortex, 32(19), 4317-4330.
[43] Nastase S. A., Goldstein A., & Hasson U. (2020). Keep it real: Rethinking the primacy of experimental control in cognitive neuroscience. NeuroImage, 222, Article 117254.
[44] Oosterhuis E. J., Slade K., Smith E., May P. J., & Nuttall H. E. (2023). Getting the brain into gear: An online study investigating cognitive reserve and word-finding abilities in healthy ageing. PLoS ONE, 18(4), Article e0280566.
[45] Pereira N., Gonçalves A. P. B., Goulart M., Tarrasconi M. A., Kochhann R., & Fonseca R. P. (2019). Age-related differences in conversational discourse abilities A comparative study. Dementia and Neuropsychologia, 13(1), 53-71.
[46] Pratt, M. W., & Robins, S. L. (1991). That' s the way it was: Age differences in the structure and quality of adults' personal narratives. Discourse Processes, 14(1), 73-85
[47] Robinson G. A., Shi L., Nott Z., & Ceslis A. (2021). A brief executive language screen for frontal aphasia. Brain Sciences, 11(3), Article 353.
[48] Rogalski Y., Altmann L. J., Plummer-D’Amato P., Behrman A. L., & Marsiske M. (2010). Discourse coherence and cognition after stroke: A dual task study. Journal of Communication Disorders, 43(3), 212-224.
[49] Ruffman T., Murray J., Halberstadt J., & Taumoepeau M. (2010). Verbosity and emotion recognition in older adults. Psychology and Aging, 25(2), 492-497.
[50] Schmitter-Edgecombe M., Vesneski M., & Jones D. (2000). Aging and word-finding: A comparison of spontaneous and constrained naming tests. Archives of Clinical Neuropsychology, 15(6), 479-493.
[51] Smirni D., Oliveri M., Misuraca E., Catania A., Vernuccio L., Picciolo V., & Turriziani P. (2021). Verbal fluency in mild Alzheimer' s disease: Transcranial direct current stimulation over the dorsolateral prefrontal cortex. Journal of Alzheimer's Disease, 81(3), 1273-1283.
[52] Stasenko A., Kleinman D., & Gollan T. H. (2021). Older bilinguals reverse language dominance less than younger bilinguals: Evidence for the inhibitory deficit hypothesis. Psychology and Aging, 36(7), 806-821.
[53] Sutin A. R., Stephan Y., Damian R. I., Luchetti M., Strickhouser J. E., & Terracciano A. (2019). Five-factor model personality traits and verbal fluency in 10 cohorts. Psychology and Aging, 34(3), 362-373.
[54] 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, 28(5), 762-780.
[55] Taschenberger L., Tuomainen O., & Hazan V. (2019). Disfluencies in spontaneous speech in easy and adverse communicative situations: The effect of age. Paper presented at Workshop on Disfluency in Spontaneous Speech (DiSS 2019), Budapest, Hungary.
[56] Ten Oever, S., & Martin, A. (2021). An oscillating computational model can Track pseudo-rhythmic speech by using linguistic predictions. eLife, 10, Article e68066.
[57] Troiani V., Fernández-Seara M. A., Wang Z., Detre J. A., Ash S., & Grossman M. (2008). Narrative speech production: An fMRI study using continuous arterial spin labeling. NeuroImage, 40(2), 932-939.
[58] Trunk, D. L., & Abrams, L. (2009). Do younger and older adults' communicative goals influence off-topic speech in autobiographical narratives? Psychology and Aging, 24(2), 324-337.
[59] Tucker B. V., Ford C., & Hedges S. (2021). Speech aging: Production and perception. WIRWs: Cognitive Science, 12(5), Article e1557.
[60] Villalobos D., Torres-Simón L., Pacios J., Paúl N., & Del Río D. (2023). A systematic review of normative data for verbal fluency test in different languages. Neuropsychology Review, 33(4), 733-764.
[61] Vousden, J. I., & Maylor, E. A. (2006). Speech errors across the lifespan. Language and Cognitive Processes, 21(1-3), 48-77.
[62] Wang, M., & Wang, M. (2024). Age-related differences in the interplay of fluency and complexity in Chinese-speaking seniors' oral narratives. International Journal of Language and Communication Disorders, 59(5), 1672-1690.
[63] Wei H. T., Kulzhabayeva D., Erceg L., Robin J., Hu Y. Z., Chignell M., & Meltzer J. A. (2024). Cognitive components of aging-related increase in word-finding difficulty. Aging, Neuropsychology, and Cognition, 31(6), 987-1019.
[64] Wright H. H., Koutsoftas A. D., Capilouto G. J., & Fergadiotis G. (2014). Global coherence in younger and older adults: Influence of cognitive processes and discourse type. Aging, Neuropsychology and Cognition, 21(2), 174-196.
[65] Wu W., Morales M., Patel T., Pickering M. J., & Hoffman P. (2022). Modulation of brain activity by psycholinguistic information during naturalistic speech comprehension and production. Cortex, 155, 287-306.
[66] Yeverino-Castro S. G., Garza-Guerra J. D., Aguilar-Díaz G. E., González-Galván C. R., Salinas-Martínez R., & Morales-Delgado R. (2023). Cognition in older adults with healthy aging: Analysis of the Mexican Health and Aging Study 2012-2015. Frontiers in Medicine, 10, Article 1207063.