Effective Elicitation of Stuttering in Magnetic Resonance Imaging Data Collection Using a Suite of Connected Speech Tasks.
Purpose: Articulatory behaviors during moments of stuttering have been understudied, largely due to the technical difficulty of collecting such data. Tracking moving articulators during stuttering requires advanced instrumentation, and eliciting stuttering in a lab setting poses challenges for exper...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 68; no. 9; pp. 4275 - 4290 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
American Speech-Language-Hearing Association
Sep2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=187881684&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 187881684 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Sep2025 vid: 68 iid: 9 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 187881684 10.1044/2025_JSLHR-24-00764 ppf: 4275 ppct: 15 formats: fmt: @attributes: type: P size: 1.6MB tig: atl: Effective Elicitation of Stuttering in Magnetic Resonance Imaging Data Collection Using a Suite of Connected Speech Tasks. aug: au: Lu, Yijing Goldstein, Louis Byrd, Dani Narayanana, Shrikanth affil: Department of Linguistics, University of Southern California, Los Angeles Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles su: Noise control Computer simulation Reading Speech Interviewing Sound recordings Communication Phonetics Vocal cords Research funding Diagnostic imaging Drawing Hearing protection Stuttering Magnetic resonance imaging Speech-language pathology Mann Whitney U Test Descriptive statistics Physiological aspects of speech Speech evaluation Pathological laboratories Research methodology Friedman test (Statistics) Neuroradiology Speech perception Comparative studies Time Speech therapy sug: subj: Noise control Computer simulation Reading Speech Interviewing Sound recordings Communication Phonetics Diagnostic Imaging Centers Other Electronic and Precision Equipment Repair and Maintenance Medical Laboratories Integrated Record Production/Distribution Sound recording merchant wholesalers Record Production Vocal cords Research funding Diagnostic imaging Drawing Hearing protection Stuttering Magnetic resonance imaging Speech-language pathology Mann Whitney U Test Descriptive statistics Physiological aspects of speech Speech evaluation Pathological laboratories Research methodology Friedman test (Statistics) Neuroradiology Speech perception Comparative studies Time Speech therapy ab: Purpose: Articulatory behaviors during moments of stuttering have been understudied, largely due to the technical difficulty of collecting such data. Tracking moving articulators during stuttering requires advanced instrumentation, and eliciting stuttering in a lab setting poses challenges for experimental design. To address these difficulties, we present a novel methodology that combines real-time vocal tract magnetic resonance imaging (MRI) with a suite of connected speech tasks to elicit stuttering. Method: A high-performance 0.55 T MRI system, with a custom eight-channel upper airway coil and a spiral balanced steady-state free precession pulse sequence, was used to acquire real-time MRI speech production data from seven adults who stutter. During scans, participants performed three connected speech tasks that incorporate stuttering-inducing factors: (a) passage reading, (b) short interviews with the experimenter, and (c) picture description within a time limit. Speech tasks were interleaved with one another. Results: Each participant produced over 100 stuttered words, covering various disfluency types and linguistic features. Fluent and disfluent productions of the same words were elicited, enabling direct articulatory comparisons. Participants did not show a significant decrease in the percentage of syllables stuttered (%SS) inside the scanner compared to outside, suggesting that our protocol effectively mitigated fluency-enhancing factors during scanning. %SS in each speech task varied substantially across participants, justifying the inclusion of multiple task types. Interleaving different tasks helped maintain a stable %SS throughout. The collected real-time MRI vocal tract videos reveal meaningful articulatory behaviors during stuttering that are not detectable via acoustics alone. Conclusions: The suite of specially designed speech tasks was effective in eliciting stuttering during real-time MRI data collection. Combining these speech tasks with dynamic MRI technology offers a powerful approach to studying the articulatory mechanisms of stuttering. In addition to real-time MRI, these speech tasks have the potential to be combined with other experimental instrumentation to facilitate collecting data specifically during stuttered speech. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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