Research Article

Comparison of Spectral and Temporal Processing Abilities between Adults with Stroke and Healthy Peers

Abstract

Background and Aim: Perception of speech in noise (SIN) is based on the accurate extraction of spectral and temporal cues. Disruption of this process can reduce the productivity of the spectral and temporal features of the target stimulus and speech recognition in noise. Auditory processing disorder is one of the main challenges of people with stroke, which leads to social, mental, and even physical failures. This study aimed to investigate the spectral and temporal processing abilities of people with stroke compared to healthy peers.
Methods: In this study, participants were 15 patients with stroke referred to the neurology clinic of Imam Khomeini Hospital and 30 healthy people aged 20–60 years. Spectral Modulation Detection Test (SMDT), Pitch Pattern Sequencing Test (PPST), Random Gap Detection Test (RGDT) and QuickSIN tests were performed for all participants. The mean scores of the two groups were compared.
Results: Patients with stroke had poorer performance in SMDT, PPST, RGDT and QuickSIN tests (p<0.001) compared to healthy subjects. The results showed that there was a significant correlation between SIN test with temporal and spectral processing in the normal group, but the correlation pattern was different in people with stroke. The scores of all the tests were not significantly different between the right and left ears.
Conclusion: The results showed that people with stroke have poorer performance in all tests compared to normal people and have more problems in speech perception in challenging areas.

1. Feigin VL, Lawes CM, Bennett DA, Anderson CS. Stroke epidemiology: a review of population-based studies of incidence, prevalence, and case-fatality in the late 20th century. Lancet Neurol. 2003;2(1):43-53. [DOI:10.1016/s1474-4422(03)00266-7]
2. Häusler R, Levine RA. Auditory dysfunction in stroke. Acta Otolaryngol. 2000;120(6):689-703. [DOI:10.1080/000164800750000207]
3. Jauch EC, Saver JL, Adams HP Jr, Bruno A, Connors JJ, Demaerschalk BM, et al. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2013;44(3):870-947. [DOI:10.1161/STR.0b013e318284056a]
4. Chamorro Á, Meisel A, Planas AM, Urra X, van de Beek D, Veltkamp R. The immunology of acute stroke. Nat Rev Neurol. 2012;8(7):401-10. [DOI:10.1038/nrneurol.2012.98]
5. Koohi N, Vickers D, Chandrashekar H, Tsang B, Werring D, Bamiou DE. Auditory rehabilitation after stroke: treatment of auditory processing disorders in stroke patients with personal frequency-modulated (FM) systems. Disabil Rehabil. 2017;39(6):586-93. [DOI:10.3109/09638288.2016.1152608]
6. Bamiou DE, Musiek FE, Stow I, Stevens J, Cipolotti L, Brown MM, et al. Auditory temporal processing deficits in patients with insular stroke. Neurology. 2006;67(4):614-9. [DOI:10.1212/01.wnl.0000230197.40410.db]
7. Bamiou DE, Werring D, Cox K, Stevens J, Musiek FE, Brown MM, et al. Patient-reported auditory functions after stroke of the central auditory pathway. Stroke. 2012;43(5):1285-9. [DOI:10.1161/STROKEAHA.111.644039]
8. Moore DR. Auditory processing disorders: acquisition and treatment. J Commun Disord. 2007;40(4):295-304. [DOI:10.1016/j.jcomdis.2007.03.005]
9. Foxton JM, Dean JL, Gee R, Peretz I, Griffiths TD. Characterization of deficits in pitch perception underlying ‘tone deafness’. Brain. 2004;127(Pt 4):801-10. [DOI:10.1093/brain/awh105]
10. Kirby BJ, Browning JM, Brennan MA, Spratford M, McCreery RW. Spectro-temporal modulation detection in children. J Acoust Soc Am. 2015;138(5):EL465-8. [DOI:10.1121/1.4935081]
11. Lotfi Y, Moossavi A, Afshari PJ, Bakhshi E, Sadjedi H. Spectro-temporal modulation detection and its relation to speech perception in children with auditory processing disorder. Int J Pediatr Otorhinolaryngol. 2020;131:109860. [DOI:10.1016/j.ijporl.2020.109860]
12. Koohi N, Bamiou DE. Hearing Screening Protocol for Stroke Patients. Hear J. 2020;73(1):42-3. [DOI:10.1097/01.HJ.0000651568.67613.b0]
13. Mellon L, Brewer L, Hall P, Horgan F, Williams D, Hickey A, et al. Cognitive impairment six months after ischaemic stroke: a profile from the ASPIRE-S study. BMC Neurol. 2015;15:31. [DOI:10.1186/s12883-015-0288-2]
14. Berticelli AZ, Bueno CD, Rocha VO, Ranzan J, Riesgo RDS, Sleifer P. Central auditory processing: behavioral and electrophysiological assessment of children and adolescents diagnosed with stroke. Braz J Otorhinolaryngol. 2021;87(5):512-20. [DOI:10.1016/j.bjorl.2019.10.010]
15. Raymer AM, Sandberg HM, Schwartz KS, Watson GS, Ringleb SI. Treatment of Auditory Processing in Noise in Individuals with Mild Aphasia: Pilot Study. Clin Arch Commun Disord. 2019;4;53-9. [DOI:10.21849/cacd.2019.00087]
16. Chi T, Gao Y, Guyton MC, Ru P, Shamma S. Spectrotemporal modulation transfer functions and speech intelligibility. J Acoust Soc Am. 1999;106(5):2719-32. [DOI:10.1121/1.428100]
17. Jafari Z, Esmaili M, Delbari A, Mehrpour M, Mohajerani MH. Auditory Temporal Processing Deficits in Chronic Stroke: A Comparison of Brain Damage Lateralization Effect. J Stroke Cerebrovasc Dis. 2016;25(6):1403-10. [DOI:10.1016/j.jstrokecerebrovasdis.2016.02.030]
18. Musiek FE, Pinheiro ML. Frequency patterns in cochlear, brainstem, and cerebral lesions. Audiology. 1987;26(2):79-88.
19. Shinn JB. Temporal processing: the basics. Hear J. 2003;56(7):52. [DOI:10.1097/01.HJ.0000292557.52409.67]
20. Owens D, Campbell P, Liddell A, DePlacido C, Wolters M. Random gap detection test: a useful measure of auditory ageing. Queen Margaret University Edinburgh, University of Edinburgh [Acesso em: 14/06/2009] Disponível em: http://www cs stir ac uk/~ kjt/research/match/resources/documents/efas07-owens pdf. 2007.
21. Chowsilpa S, Bamiou DE, Koohi N. Effectiveness of the Auditory Temporal Ordering and Resolution Tests to Detect Central Auditory Processing Disorder in Adults with Evidence of Brain Pathology: A Systematic Review and Meta-Analysis. Front Neurol. 2021;12:656117. [DOI:10.3389/fneur.2021.656117]
22. Bernstein JG, Mehraei G, Shamma S, Gallun FJ, Theodoroff SM, Leek MR. Spectrotemporal modulation sensitivity as a predictor of speech intelligibility for hearing-impaired listeners. J Am Acad Audiol. 2013;24(4):293-306. [DOI:10.3766/jaaa.24.4.5]
23. Mehraei G, Gallun FJ, Leek MR, Bernstein JG. Spectrotemporal modulation sensitivity for hearing-impaired listeners: dependence on carrier center frequency and the relationship to speech intelligibility. J Acoust Soc Am. 2014;136(1):301-16. [DOI:10.1121/1.4881918]
24. Moossavi A, Javanbakht M, Arbab Sarjoo H, Bakhshi E, Mahmoodi Bakhtiari B, Lotfi Y. Developmentand Psychometric Evaluation of Persian version of the Quick Speech in Noise Test in Persian Speaking 18-25 Years Old Normal Adults. Journal of Rehabilitation Sciences and Research. 2016;3(3):51-6. [DOI:10.30476/jrsr.2016.41099]
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IssueVol 33 No 3 (2024) QRcode
SectionResearch Article(s)
DOI https://doi.org/10.18502/avr.v33i3.15505
Keywords
Auditory processing disorder speech perception in noise spectral modulation temporal processing stroke

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How to Cite
1.
Molla Ali Akbari F, Mehrkian S, Jalilzadeh Afshari P, Bakhshi E. Comparison of Spectral and Temporal Processing Abilities between Adults with Stroke and Healthy Peers. Aud Vestib Res. 2024;33(3):235-242.