Multisensory cueing facilitates naming in aphasia

Klaudia Grechuta, Belén Rubio Ballester, Rosa Espín Munné, Teresa Usabiaga Bernal, Begoña Molina Hervás, Bettina Mohr, Friedemann Pulvermüller, Rosa Maria San Segundo, Paul F M J Verschure, Klaudia Grechuta, Belén Rubio Ballester, Rosa Espín Munné, Teresa Usabiaga Bernal, Begoña Molina Hervás, Bettina Mohr, Friedemann Pulvermüller, Rosa Maria San Segundo, Paul F M J Verschure

Abstract

Background: Impaired naming is a ubiquitous symptom in all types of aphasia, which often adversely impacts independence, quality of life, and recovery of affected individuals. Previous research has demonstrated that naming can be facilitated by phonological and semantic cueing strategies that are largely incorporated into the treatment of anomic disturbances. Beneficial effects of cueing, whereby naming becomes faster and more accurate, are often attributed to the priming mechanisms occurring within the distributed language network.

Objective: We proposed and explored two novel cueing techniques: (1) Silent Visuomotor Cues (SVC), which provided articulatory information of target words presented in the form of silent videos, and (2) Semantic Auditory Cues (SAC), which consisted of acoustic information semantically relevant to target words (ringing for "telephone"). Grounded in neurophysiological evidence, we hypothesized that both SVC and SAC might aid communicative effectiveness possibly by triggering activity in perceptual and semantic language regions, respectively.

Methods: Ten participants with chronic non-fluent aphasia were recruited for a longitudinal clinical intervention. Participants were split into dyads (i.e., five pairs of two participants) and required to engage in a turn-based peer-to-peer language game using the Rehabilitation Gaming System for aphasia (RGSa). The objective of the RGSa sessions was to practice communicative acts, such as making a request. We administered SVCs and SACs in a pseudorandomized manner at the moment when the active player selected the object to be requested from the interlocutor. For the analysis, we compared the times from selection to the reception of the desired object between cued and non-cued trials.

Results: Naming accuracy, as measured by a standard clinical scale, significantly improved for all stimuli at each evaluation point, including the follow-up. Moreover, the results yielded beneficial effects of both SVC and SAC cues on word naming, especially at the early intervention sessions when the exposure to the target lexicon was infrequent.

Conclusions: This study supports the efficacy of the proposed cueing strategies which could be integrated into the clinic or mobile technology to aid naming even at the chronic stages of aphasia. These findings are consistent with sensorimotor accounts of language processing, suggesting a coupling between language, motor, and semantic brain regions.

Trial registration: NCT02928822 . Registered 30 May 2016.

Keywords: Aphasia; Lexical access; Multisensory cueing; Neurorehabilitation; Stroke; Word-finding.

Conflict of interest statement

P.F.M.J. Verschure (ICREA) declares to be a founder and interim CEO of Eodyne SL, which aims at bringing scientifically validated neurorehabilitation technology to society. The other authors report no conflicts.

Figures

Fig. 1
Fig. 1
a Illustration of the Interaction Time (IT) measure, possible moves, and speech- acts. b Example of the materials. Left: stimuli undergoing SAC, right: stimuli undergoing SVC. c Fit for each participant’s averaged IT over the therapy interval for all the stimuli undergoing Silent Visuomotor (SVC, violet) and Semantic Auditory (SAC, red) cueing. Upper panels: Lines represent linear regression models for individual participants including cued and non-cued trials. Lower panels: Median ITs of all the participants including all stimuli for each therapy session
Fig. 2
Fig. 2
a Evolution of median ITs for cued on non-cued stimuli over the therapy sessions. Lines represent nonlinear regression models for cued and non-cued visuomotor (violet) and auditory (red) cues. b Quantification of differences in ITs for SVC and SAC between cued and non-cued stimuli in the early (first 15) and late (last 15) therapy sessions

References

    1. Engelter ST, et al. Epidemiology of aphasia attributable to first ischemic stroke: incidence, severity, fluency, etiology, and thrombolysis. Stroke. 2006;37(6):1379–1384.
    1. Goodglass H, Wingfield A. Anomia : neuroanatomical and cognitive correlates. 1997.
    1. Laine M, Martin N. Brain damage, behaviour and cognition. Anomia: theoretical and clinical aspects. Psychology Press. 2006.
    1. Foygel D, Dell GS. Models of impaired lexical access in speech production. J Mem Lang. 2000;43(2):182–216.
    1. Schwartz MF. Theoretical analysis of word production deficits in adult aphasia. Philos Trans R Soc B Biol Sci. 2014;369(1634) Royal Society.
    1. Levelt WJM, Roelofs A, Meyer AS. A theory of lexical access in speech production. Behav Brain Sci. 1999;22(1):1–75.
    1. Oldfield RC. Things, words and the brain*. Q J Exp Psychol. 1966;18(4):340–353.
    1. Kempen G, Huijbers P. The lexicalization process in sentence production and naming: indirect election of words. Cognition. 1983;14(2):185–209.
    1. Levelt WJM. Spoken word production: a theory of lexical access. Proc Natl Acad Sci U S A. 2001;98(23):13464–13471.
    1. Thompson CK, Jacobs B, Legrand HR. Phonological treatment of naming deficits in aphasia model-based generalization analysis. Aphasiology. 1993;7(1):27–53.
    1. Best W, Herbert R, Hickin J, Osborne F, Howard D. Phonological and orthographic facilitation of word-retrieval in aphasia: immediate and delayed effects. Aphasiology. 2002;16(1–2):151–168.
    1. Nickels LA. Theoretical and methodological issues in the cognitive neuropsychology of spoken word production. Aphasiology. 2002;16(1–2):3–19.
    1. Heath S, et al. Neural mechanisms underlying the facilitation of naming in aphasia using a semantic task: an fMRI study. BMC Neurosci. 2012;13(1):98.
    1. Nickels L. Therapy for naming disorders: Revisiting, revising, and reviewing. Aphasiology. 2002;16(10–11):935–979.
    1. Wisenburn B, Mahoney K. A meta-analysis of word-finding treatments for aphasia. Aphasiology. 2009;23(11):1338–1352.
    1. van Hees S, Angwin A, McMahon K, Copland D. A comparison of semantic feature analysis and phonological components analysis for the treatment of naming impairments in aphasia. Neuropsychol Rehabil. 2013;23(1):102–132.
    1. Lorenz A, Ziegler W. Semantic vs. word-form specific techniques in anomia treatment: a multiple single-case study. J Neurolinguistics. 2009;22(6):515–537.
    1. Meteyard L, Bose A. What does a cue do? Comparing phonological and semantic cues for picture naming in aphasia. J Speech, Lang Hear Res. 2018;61(3):658–674.
    1. Abad A, et al. Automatic word naming recognition for an on-line aphasia treatment system. Comput Speech Lang. 2013;27(6):1235–1248.
    1. Kurland J, Wilkins A, Stokes P. iPractice: piloting the effectiveness of a tablet-based home practice program in aphasia treatment. Semin Speech Lang. 2014;35(01):051–064.
    1. Palmer R, et al. Self-managed, computerised speech and language therapy for patients with chronic aphasia post-stroke compared with usual care or attention control (big CACTUS): a multicentre, single-blinded, randomised controlled trial. Lancet Neurol. 2019;18(9):821–833.
    1. Grechuta K, et al. Augmented dyadic therapy boosts recovery of language function in patients with nonfluent aphasia. Stroke. 2019;50(5):1270–1274.
    1. Kurland J, Liu A, Stokes P. Effects of a Tablet-Based Home Practice Program With Telepractice on Treatment Outcomes in Chronic Aphasia. J Speech Lang Hear Res. 2018;61(5):1140.
    1. Lavoie M, Macoir J, Bier N. Effectiveness of technologies in the treatment of post-stroke anomia: a systematic review. J Commun Disord. 2017;65:43–53.
    1. Martin N, Fink R, Laine M, Ayala J. Immediate and short-term effects of contextual priming on word retrieval in aphasia. Aphasiology. 2004;18(10):867–898.
    1. Martin N, Fink R, Laine M. Treatment of word retrieval deficits with contextual priming. Aphasiology. 2004;18(5–7):457–471.
    1. Madden E, Robinson R, Kendall D. Phonological treatment approaches for spoken word production in aphasia. Semin Speech Lang. 2017;38(01):062–074.
    1. Nardo D, Holland R, Leff AP, Price CJ, Crinion JT. Less is more: neural mechanisms underlying anomia treatment in chronic aphasic patients. Brain. 2017;140(11):3039–3054.
    1. Howard D, Gatehouse C. Distinguishing semantic and lexical word retrieval deficits in people with aphasia. Aphasiology. 2006;20(9–11):921–950.
    1. Howard D, Hickin J, Redmond T, Clark P, Best W. Re-visiting ‘semantic facilitation’ of word retrieval for people with aphasia: facilitation yes but semantic no. Cortex. 2006;42(6):946–962.
    1. Davis A, Pring T. Therapy for word-finding deficits: more on the effects of semantic and phonological approaches to treatment with dysphasic patients. Neuropsychol Rehabil. 1991;1(2):135–145.
    1. Zegarek G, Arsiwalla XD, Dalmazzo D, Verschure PFMJ. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016. Mapping the language connectome in healthy subjects and brain tumor patients; pp. 83–90.
    1. Massaro Dominic SP. Perceiving talking faces: from speech perception to a behavioral principle. 1998.
    1. Wyss R, König P, Verschure PFMJF, Konig P. A model of the ventral visual system based on temporal stability and local memory. PLoS Biol. 2006;4(5):120.
    1. Verschure PFMJ, Althaus P. A real-world rational agent: unifying old and new AI. Cogn Sci. 2003;27(4):561–590.
    1. Mcgurk H, Macdonald J. Hearing lips and seeing voices. Nature. 1976;264(5588):746–748.
    1. Grechuta K, et al. Rehabilitation Robotics (ICORR), 2017 International Conference on. 2017. The effects of silent visuomotor cueing on word retrieval in Broca’s aphasies: A pilot study; pp. 193–199.
    1. Ojemann G, Ojemann J, Lettich E, Berger M. Cortical language localization in left, dominant hemisphere. An electrical stimulation mapping investigation in 117 patients. J Neurosurg. 1989;71(3):316–326.
    1. Duffau H, Capelle L, Denvil D, Gatignol P, N. S.- Neuroimage, and undefined 2003. The role of dominant premotor cortex in language: a study using intraoperative functional mapping in awake patients. Elsevier. .
    1. Petrides M, Cadoret G, Mackey S. Orofacial somatomotor responses in the macaque monkey homologue of Broca’s area. Nature. 2005;435(7046):1235–1238.
    1. Nishitani N, Hari R. Viewing lip forms: cortical dynamics. Neuron. 2002;36(6):1211–1220.
    1. Kiefer M, Sim EJ, Herrnberger B, Grothe J, Hoenig K. The sound of concepts: four markers for a link between auditory and conceptual brain systems. J Neurosci. 2008;28(47):12224–12230.
    1. Kiefer M, Pulvermüller F. Conceptual representations in mind and brain: Theoretical developments, current evidence and future directions. Cortex. 2012;48(7):805–825.
    1. Segaert K, Menenti L, Weber K, Petersson KM, Hagoort P. Shared syntax in language production and language comprehension--an fMRI study. Cereb Cortex. 2012;22(7):1662–1670.
    1. Rodd JM, Longe OA, Randall B, Tyler LK. The functional organisation of the fronto-temporal language system: evidence from syntactic and semantic ambiguity. Neuropsychologia. 2010;48(5):1324–1335.
    1. Acheson DJ, Hagoort P. Stimulating the brain’s language network: syntactic ambiguity resolution after TMS to the inferior frontal gyrus and middle temporal gyrus. J Cogn Neurosci. 2013;25(10):1664–1677.
    1. Hickok G. Speech Perception, Conduction Aphasia, and the Functional Neuroanatomy of Language. In: Language and the Brain: Elsevier; 2000. p. 87–104.
    1. WISE R, CHOLLET F, HADAR U, FRISTON K, HOFFNER E, FRACKOWIAK R. Distribution of cortical neural networks involved in word comprehension and word retrieval. Brain. 1991;114(4):1803–1817.
    1. Price CJ, et al. Hearing and saying. Brain. 1996;119(3):919–931.
    1. Paus T, Perry DW, Zatorre RJ, Worsley KJ, Evans AC. Modulation of cerebral blood flow in the human auditory cortex during speech: role of motor-to-sensory discharges. Eur J Neurosci. 1996;8(11):2236–2246.
    1. Töpper R, Mottaghy FM, Brügmann M, Noth J, Huber W. Facilitation of picture naming by focal transcranial magnetic stimulation of Wernicke’s area. Exp Brain Res. 1998;121(4):371–378.
    1. Bookheimer SY, Zeffiro TA, Blaxton T, Gaillard W, Theodore W. Regional cerebral blood flow during object naming and word reading. Hum Brain Mapp. 995;3(2):93–106.
    1. & U, Hickok G, Erhard P, Kassubek J, Helms-Tillery AK, Naeve-Velguth S, Strupp JP, Strick PL. KAuditory cortex participates in speech production. Cogn Neurosci Soc Abstr. 1999;97.
    1. Difrancesco S, Pulvermüller F, Mohr B. Intensive language-action therapy (ILAT): the methods. Aphasiology. 2012;26(11):1317–1351.
    1. Pulvermüller F, Mohr B, Taub E. Constraint-induced aphasia therapy: a neuroscience-centered translational method. Neurobiol Lang. 2016:1025–34.
    1. Maier M, Rubio Ballester B, Duff A, Duarte Oller E, Verschure PFMJ. Effect of Specific Over Nonspecific VR-Based Rehabilitation on Poststroke Motor Recovery: A Systematic Meta-analysis. Neurorehabil Neural Repair. 2019;33(2):112–129.
    1. Peña-Casanova J. Test barcelona. Barcelona: Edici {ó} nes Masson; 1990.
    1. Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9(1):97–113.
    1. Folstein MF, Folstein SE, McHugh PR. ‘Mini-mental state’. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–198.
    1. Fugl Meyer AR, Jaasko L, Leyman I. The post stroke hemiplegic patient. I. a method for evaluation of physical performance. Scand J Rehabil Med. 1975;7(1):13–31.
    1. Grechuta K, Rubio B, Duff A, Oller ED, Pulvermuller F, Verschure PFMJ. Intensive language-action therapy in virtual reality for a rehabilitation gaming system. J Pain Manag. 2016;9(3):243.
    1. Elman RJ, Bernstein-Ellis E. The efficacy of group communication treatment in adults with chronic aphasia. J Speech, Lang Hear Res. 1999;42(2):411–419.
    1. Pulvermüller F, Berthier ML. Aphasia therapy on a neuroscience basis. Aphasiology. 2008;22(6):563–599.
    1. Bose A, Schafer G. Name agreement in aphasia. Aphasiology. 2017;31(10):1143–1165.
    1. Alario FX, Ferrand L, Laganaro M, New B, Frauenfelder UH, Segui J. Predictors of picture naming speed. Behav Res Methods Instrum Comput. 2004;36(1):140–155.
    1. Kittredge AK, Dell GS, Verkuilen J, Schwartz MF. Where is the effect of frequency in word production? Insights from aphasic picture-naming errors. Cogn Neuropsychol. 2008;25(4):463–492.
    1. Berthier ML, Pulvermüller F. Neuroscience insights improve neurorehabilitation of poststroke aphasia. Nat Rev Neurol. 2011;7(2):86–97.
    1. Stahl B, Mohr B, Dreyer FR, Lucchese G, Pulvermüller F. Using language for social interaction: communication mechanisms promote recovery from chronic non-fluent aphasia. Cortex. 2016;85:90–99.
    1. Wallace SJ, et al. A core outcome set for aphasia treatment research: the ROMA consensus statement. Int J Stroke. 2019;14(2):180–185.
    1. Pulvermüller F, Fadiga L. Active perception: sensorimotor circuits as a cortical basis for language. Nat Rev Neurosci. 2010;11(5):351.
    1. Hickin J, Best W, Herbert R, Howard D, Osborne F. Phonological therapy for word-finding difficulties: a re-evaluation. Aphasiology. 2002;16(10–11):981–999.

Source: PubMed

3
Subscribe