Sentence comprehension among healthy cognitive ageing adults: an fMRI study
DOI:
https://doi.org/10.31117/neuroscirn.v8i1.376Keywords:
Sentence comprehension, Aging, fMRI, Brain imaging, LanguageAbstract
Language performance issues can occur before impairments in episodic memory, visuospatial construction ability, or mental state in those at risk for mild cognitive impairment (MCI). However, the neural basis for this change is unclear. This study aimed to investigate the neural correlates of sentence comprehension in healthy cognitive ageing (HCA). Thirteen healthy, elderly subjects between the age of 50-70 years old were recruited within Klang Valley. Functional magnetic resonance imaging (fMRI) scanning was conducted while participants engaged in a Malay picture-to-sentence matching comprehension task. During the task, participants silently read a sentence and were required to select one of three images that best describes the context of the sentence. The fMRI data were analysed using statistical parametric mapping (SPM12) to identify brain regions involved in sentence comprehension. Results showed activation in the left inferior occipital gyrus (IOG), medial temporal gyrus (MTG), inferior temporal gyrus (ITG), inferior frontal gyrus (IFG), and left parietal lobe, suggesting that these areas are involved in sentence processing. We conclude that HCAs present similar patterns of neural brain activation, and these regions are integrated to support sentence comprehension processing. Further research may include younger adults and a larger population sample to better represent findings in the Malaysian ageing population.
References
Agarwal, S., Sair, H. I., Gujar, S., & Pillai, J. J. (2019). Language mapping with FMRI. Topics in Magnetic Resonance Imaging, 28(4), 225–233. https://doi.org/10.1097/rmr.0000000000000216
Aziz, M. a. A., Hassan, M., Razak, R. A., & Garraffa, M. (2020). Syntactic abilities in Malay adult speakers with aphasia: a study on passive sentences and argument structures. Aphasiology, 34(7), 886–904. https://doi.org/10.1080/02687038.2020.1742283
Azmi, M. N. L., Ching, L. T. P., Jamaludin, N. B., Ramli, M. N. H. B., Razali, M. H. B., Amram, M. a. Y. B., & Jayakumar, K. A. (2016). The comparisons and contrasts between english and malay languages. English Review Journal of English Education, 4(2), 209. https://doi.org/10.25134/erjee.v4i2.335
Batouli, S. a. H., & Sisakhti, M. (2020). Some points to consider in a task-based FMRI study: a guideline for beginners. Frontiers in Biomedical Technologies, 7(1), 2725. https://doi.org/10.18502/fbt.v7i1.2725
Binder, J. R. (2017). Current controversies on Wernicke’s area and its role in language. Current Neurology and Neuroscience Reports, 17(8), 1–10. https://doi.org/10.1007/s11910-017-0764-8
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009). Where is the semantic system? a critical review and meta-analysis of 120 functional neuroimaging studies. Cerebral Cortex, 19(12), 2767–2796. https://doi.org/10.1093/cercor/bhp055
Binding, L. P., Dasgupta, D., Giampiccolo, D., Duncan, J. S., & Vos, S. B. (2022). Structure and function of language networks in temporal lobe epilepsy. Epilepsia, 63(5), 1025–1040. https://doi.org/10.1111/epi.17204
Blaiotta, C., Freund, P., Cardoso, M. J., & Ashburner, J. (2017). Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. NeuroImage, 166, 117–134. https://doi.org/10.1016/j.neuroimage.2017.10.060
Brosseau, J., & Cohen, H. (1996). The representation of semantic categories in aging. Experimental Aging Research, 22(4), 381–391. https://doi.org/10.1080/03610739608254018
Buchweitz, A., Mason, R. A., Tomitch, L. M. B., & Just, M. A. (2009). Brain activation for reading and listening comprehension: An fMRI study of modality effects and individual differences in language comprehension. Psychology & Neuroscience, 2(2), 111–123. https://doi.org/10.3922/j.psns.2009.2.003
De Carli, D., Garreffa, G., Colonnese, C., Giulietti, G., Labruna, L., Briselli, E., Ken, S., Macrì, M. A., & Maraviglia, B. (2007). Identification of activated regions during a language task. Magnetic Resonance Imaging, 25(6), 933–938. https://doi.org/10.1016/j.mri.2007.03.031
DeDe, G., & Knilans, J. (2016). Language comprehension in aging. In John Benjamins Publishing Company eBooks (pp. 107–133). John Benjamins Publishing Company, Netherland. https://doi.org/10.1075/z.200.05ded
Diaz, M. T., Johnson, M. A., Burke, D. M., & Madden, D. J. (2014). Age-related differences in the neural bases of phonological and semantic processes. Journal of Cognitive Neuroscience, 26(12), 2798–2811. https://doi.org/10.1162/jocn_a_00665
Fitzhugh, M. C., Braden, B. B., Sabbagh, M. N., Rogalsky, C., & Baxter, L. C. (2019). Age-related atrophy and compensatory neural networks in reading comprehension. Journal of the International Neuropsychological Society, 25(6), 569–582. https://doi.org/10.1017/s1355617719000274
Gavelin, H. M., Dong, C., Minkov, R., Bahar-Fuchs, A., Ellis, K. A., Lautenschlager, N. T., Mellow, M. L., Wade, A. T., Smith, A. E., Finke, C., Krohn, S., & Lampit, A. (2020). Combined physical and cognitive training for older adults with and without cognitive impairment: A systematic review and network meta-analysis of randomized controlled trials. Ageing Research Reviews, 66, 101232. https://doi.org/10.1016/j.arr.2020.101232
Glover, G. H. (2011). Overview of functional magnetic resonance imaging. Neurosurgery Clinics of North America, 22(2), 133–139. https://doi.org/10.1016/j.nec.2010.11.001
Grossman, M., Cooke, A., DeVita, C., Alsop, D., Detre, J., Chen, W., & Gee, J. (2002). Age-related changes in working memory during sentence comprehension: an fMRI study. NeuroImage, 15(2), 302–317. https://doi.org/10.1006/nimg.2001.0971
How, S. Y., Chan, S. H., & Abdullah, A. N. (2015). Language vitality of Malaysian languages and its relation to identity. GEMA Online Journal of Language Studies, 15(2), 119–139. https://doi.org/10.17576/gema-2015-1502-08
Hussin, N. M., Shahar, S., Yahya, H. M., Din, N. C., Singh, D. K. A., & Omar, M. A. (2019). Incidence and predictors of mild cognitive impairment (MCI) within a multi-ethnic Asian populace: a community-based longitudinal study. BMC Public Health, 19(1), 1–11. https://doi.org/10.1186/s12889-019-7508-4
Institute for Public Health. (2019). National health and morbidity survey 2018 (NHMS 2018): elderly health. Methodology and General Findings, 1, 132. https://iku.moh.gov.my/images/IKU/Document/REPORT/NHMS2018/NHMS2018ElderlyHealthVolume1.pdf
Kadar, M., Ibrahim, S., Razaob, N. A., Chai, S. C., & Harun, D. (2018). Validity and reliability of a Malay version of the Lawton instrumental activities of daily living scale among the Malay speaking elderly in Malaysia. Australian Occupational Therapy Journal, 65(1), 63–68. https://doi.org/10.1111/1440-1630.12441
Lai, W., Hon, Y., Pang, G. M., Chong, E. M., Nordin, N., Tiong, L., Tan, S. H., Sapian, R. A., Lee, Y., & Rosli, N. (2022). Dementia of the ageing population in Malaysia: a scoping review of published research. Aging and Health Research, 2(2), 100077. https://doi.org/10.1016/j.ahr.2022.100077
Langner, R., Eickhoff, S. B., & Bilalić, M. (2018). A network view on brain regions involved in experts’ object and pattern recognition: Implications for the neural mechanisms of skilled visual perception. Brain and Cognition, 131, 74–86. https://doi.org/10.1016/j.bandc.2018.09.007
Laumann, T. O., Snyder, A. Z., Mitra, A., Gordon, E. M., Gratton, C., Adeyemo, B., Gilmore, A. W., Nelson, S. M., Berg, J. J., Greene, D. J., McCarthy, J. E., Tagliazucchi, E., Laufs, H., Schlaggar, B. L., Dosenbach, N. U. F., & Petersen, S. E. (2017). On the stability of BOLD fMRI correlations. Cerebral Cortex, 27(10), 4719–4732. https://doi.org/10.1093/cercor/bhw265
Lawton, M. P., & Brody, E. M. (1969). Assessment of older people: self-maintaining and instrumental activities of daily living. The Gerontologist, 9(3 Part 1), 179–186. https://doi.org/10.1093/geront/9.3_part_1.179
Lee, Y. S., Rogers, C. S., Grossman, M., Wingfield, A., & Peelle, J. E. (2022). Hemispheric dissociations in regions supporting auditory sentence comprehension in older adults. Aging Brain, 2, 100051. https://doi.org/10.1016/j.nbas.2022.100051
Manning, C. A., & Ducharme, J. K. (2010). Dementia syndromes in the older adult. In Handbook of Assessment in Clinical Gerantology (pp. 155–178). Academic Press, United States. https://doi.org/10.1016/b978-0-12-374961-1.10006-5
Mat Awal, N., Abu Bakar, K., Abdul Hamid, N. Z., & Jalaluddin, N. H. (2007). Morphological differences between Bahasa Melayu and English: constraints in students’ understanding. In The Second Biennial International Conference on Teaching and Learning of English in Asia : Exploring New Frontiers (TELiA2), 14-16 June 2007, Holiday Villa Beach & Spa Resort, Langkawi (pp. 1 – 11). Perpustakaan Sultanah Bahiyah, Universiti Utara Malaysia, Malaysia. https://repo.uum.edu.my/id/eprint/3264
Nasiri, M., Moayedfar, S., Purmohammad, M., & Ghasisin, L. (2022). Investigating sentence processing and working memory in patients with mild Alzheimer and elderly people. PLoS ONE, 17(11), e0266552. https://doi.org/10.1371/journal.pone.0266552
Park, D. C., & Reuter-Lorenz, P. (2009). The adaptive brain: aging and neurocognitive scaffolding. Annual Review of Psychology, 60(1), 173–196. https://doi.org/10.1146/annurev.psych.59.103006.093656
Parker, D., Liu, X., & Razlighi, Q. R. (2017). Optimal slice timing correction and its interaction with fMRI parameters and artifacts. Medical Image Analysis, 35, 434–445. https://doi.org/10.1016/j.media.2016.08.006
Peelle, J. E., Troiani, V., Wingfield, A., & Grossman, M. (2010). Neural processing during older adults’ comprehension of spoken sentences: age differences in resource allocation and connectivity. Cerebral Cortex, 20(4), 773–782. https://doi.org/10.1093/cercor/bhp142
Pistono, A., Senoussi, M., Guerrier, L., Rafiq, M., Giméno, M., Péran, P., Jucla, M., & Pariente, J. (2021). Language network connectivity increases in early Alzheimer’s disease. Journal of Alzheimer’s Disease, 82(1), 447–460. https://doi.org/10.3233/jad-201584
Psychology Software Tools. (2016). E-Prime 3.0 [Computer software]. Psychology Software Tools. https://www.pstnet.com
Richards, T. L., & Berninger, V. W. (2013). Brain mapping of language processing using functional MRI connectivity and diffusion tensor imaging. In Functional Brain Mapping and the Endeavor to Understand the Working Brain. IntechOpen, Croatia. https://doi.org/10.5772/56501
Rusli, Y. A., & Montgomery, J. (2020). Sentence comprehension and working memory in Malay adults. GEMA Online Journal of Language Studies, 20(1), 16–34. https://doi.org/10.17576/gema-2020-2001-02
Segkouli, S., Paliokas, I., Tzovaras, D., Lazarou, I., Karagiannidis, C., Vlachos, F., & Tsolaki, M. (2017). A computerized test for the assessment of mild cognitive impairment subtypes in sentence processing. Aging Neuropsychology and Cognition, 25(6), 829–851. https://doi.org/10.1080/13825585.2017.1377679
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. https://doi.org/10.1080/13803390701550128
Walenski, M., Europa, E., Caplan, D., & Thompson, C. K. (2019). Neural networks for sentence comprehension and production: An ALE‐based meta‐analysis of neuroimaging studies. Human Brain Mapping, 40(8), 2275–2304. https://doi.org/10.1002/hbm.24523
Yap, N. T., Razak, R. A., Haman, E., Łuniewska, M., & Treffers-Daller, J. (2017). Construction of the Malay cross-linguistic lexical task: a preliminary report. Language Studies Working Papers, 8, 47–61. https://centaur.reading.ac.uk/70928/
Zafar, R., Malik, A. S., Kamel, N., & Dass, S. C. (2015). Importance of realignment parameters in fMRI data analysis. In 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) (pp. 546-550). Institute of Electrical and Electronics Engineers, United States. https://doi.org/10.1109/ICSIPA.2015.7412251
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Copyright (c) 2025 Afrina Sallehuddin, Mazlyfarina Mohamad, Elyqa Farra Nabillah Mohamad Ariffin, Neil Russell Mennie , Rogayah A Razak, Mohd Azmarul A Aziz, Mizhanim Mohamad Shahimin, Leong Yuh Yang, Norshuhada Sahnan, Muhammad Shahidan Muhammad Sakri
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