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Bendtsen LØM, Kolborg N, Pedersen SG, Jørkov APS, Iwarsson J. Injection Laryngoplasty of Unilateral Vocal Fold Paralysis Evaluated With Pause and Speech Measurements. J Voice 2024:S0892-1997(24)00206-6. [PMID: 39003211 DOI: 10.1016/j.jvoice.2024.06.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/25/2024] [Accepted: 06/25/2024] [Indexed: 07/15/2024]
Abstract
OBJECTIVE The purpose of this study was to examine a number of pause-and-speech-measurements in patients with unilateral vocal fold paralysis, before and after injection laryngoplasty. The non-invasive measurements were selected to investigate and explain the treatment effect on connected speech in these patients. STUDY DESIGN Retrospective study with repeated measurements design. METHOD Voice recordings of 24 patients with unilateral vocal fold paralysis from before and after injection laryngoplasty in local anesthesia were analyzed retrospectively with the computer program Praat. Measurements examined were number of pauses, average pause duration, pause ratio (expressing the amount of pausing during a reading-aloud task), number of breath groups, average duration of breath groups, articulation rate, speaking rate, maximum phonation time, and Voice Handicap Index. RESULTS Injection laryngoplasty had a significant improving effect on the number of pauses, pause ratio, number of breath groups, average duration of breath groups, articulation rate, speaking rate, maximum phonation time, and Voice Handicap Index. Maximum phonation time before treatment correlated with several pause and speech measurements. CONCLUSION The results showed that treatment with injection laryngoplasty had a clear effect on several pause and speech measurements and that these measurements correlated with maximum phonation time, but not with Voice Handicap Index.
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Affiliation(s)
- Liv Øster Müller Bendtsen
- Audiologopedics, Department of Nordic Studies and Linguistics, University of Copenhagen, Copenhagen, Denmark
| | - Nanna Kolborg
- Audiologopedics, Department of Nordic Studies and Linguistics, University of Copenhagen, Copenhagen, Denmark
| | - Solveig Gunvor Pedersen
- Audiologopedics, Department of Nordic Studies and Linguistics, University of Copenhagen, Copenhagen, Denmark; Department of Ear, Nose and Throat Surgery, Zealand University Hospital, Køge, Denmark
| | | | - Jenny Iwarsson
- Audiologopedics, Department of Nordic Studies and Linguistics, University of Copenhagen, Copenhagen, Denmark.
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Cordella C, Di Filippo L, Kolachalama VB, Kiran S. Connected Speech Fluency in Poststroke and Progressive Aphasia: A Scoping Review of Quantitative Approaches and Features. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2024; 33:2091-2128. [PMID: 38652820 PMCID: PMC11253646 DOI: 10.1044/2024_ajslp-23-00208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 10/09/2023] [Accepted: 01/08/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE Speech fluency has important diagnostic implications for individuals with poststroke aphasia (PSA) as well as primary progressive aphasia (PPA), and quantitative assessment of connected speech has emerged as a widely used approach across both etiologies. The purpose of this review was to provide a clearer picture on the range, nature, and utility of individual quantitative speech/language measures and methods used to assess connected speech fluency in PSA and PPA, and to compare approaches across etiologies. METHOD We conducted a scoping review of literature published between 2012 and 2022 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. Forty-five studies were included in the review. Literature was charted and summarized by etiology and characteristics of included patient populations and method(s) used for derivation and analysis of speech/language features. For a subset of included articles, we also charted the individual quantitative speech/language features reported and the level of significance of reported results. RESULTS Results showed that similar methodological approaches have been used to quantify connected speech fluency in both PSA and PPA. Two hundred nine individual speech-language features were analyzed in total, with low levels of convergence across etiology on specific features but greater agreement on the most salient features. The most useful features for differentiating fluent from nonfluent aphasia in both PSA and PPA were features related to overall speech quantity, speech rate, or grammatical competence. CONCLUSIONS Data from this review demonstrate the feasibility and utility of quantitative approaches to index connected speech fluency in PSA and PPA. We identified emergent trends toward automated analysis methods and data-driven approaches, which offer promising avenues for clinical translation of quantitative approaches. There is a further need for improved consensus on which subset of individual features might be most clinically useful for assessment and monitoring of fluency. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.25537237.
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Affiliation(s)
- Claire Cordella
- Department of Speech, Language and Hearing Sciences, Boston University, MA
| | - Lauren Di Filippo
- Department of Speech, Language and Hearing Sciences, Boston University, MA
| | - Vijaya B. Kolachalama
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, MA
- Department of Computer Science and Faculty of Computing & Data Sciences, Boston University, MA
| | - Swathi Kiran
- Department of Speech, Language and Hearing Sciences, Boston University, MA
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Angelopoulou G, Kasselimis D, Varkanitsa M, Tsolakopoulos D, Papageorgiou G, Velonakis G, Meier E, Karavassilis E, Pantoleon V, Laskaris N, Kelekis N, Tountopoulou A, Vassilopoulou S, Goutsos D, Kiran S, Weiller C, Rijntjes M, Potagas C. Investigating silent pauses in connected speech: integrating linguistic, neuropsychological, and neuroanatomical perspectives across narrative tasks in post-stroke aphasia. Front Neurol 2024; 15:1347514. [PMID: 38682034 PMCID: PMC11047180 DOI: 10.3389/fneur.2024.1347514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/07/2024] [Indexed: 05/01/2024] Open
Abstract
Introduction Silent pauses are regarded as integral components of the temporal organization of speech. However, it has also been hypothesized that they serve as markers for internal cognitive processes, including word access, monitoring, planning, and memory functions. Although existing evidence across various pathological populations underscores the importance of investigating silent pauses' characteristics, particularly in terms of frequency and duration, there is a scarcity of data within the domain of post-stroke aphasia. Methods The primary objective of the present study is to scrutinize the frequency and duration of silent pauses in two distinct narrative tasks within a cohort of 32 patients with chronic post-stroke aphasia, in comparison with a control group of healthy speakers. Subsequently, we investigate potential correlation patterns between silent pause measures, i.e., frequency and duration, across the two narrative tasks within the patient group, their performance in neuropsychological assessments, and lesion data. Results Our findings showed that patients exhibited a higher frequency of longer-duration pauses in both narrative tasks compared to healthy speakers. Furthermore, within-group comparisons revealed that patients tended to pause more frequently and for longer durations in the picture description task, while healthy participants exhibited the opposite trend. With regard to our second research question, a marginally significant interaction emerged between performance in semantic verbal fluency and the narrative task, in relation to the location of silent pauses-whether between or within clauses-predicting the duration of silent pauses in the patient group. However, no significant results were observed for the frequency of silent pauses. Lastly, our study identified that the duration of silent pauses could be predicted by distinct Regions of Interest (ROIs) in spared tissue within the left hemisphere, as a function of the narrative task. Discussion Overall, this study follows an integrative approach of linguistic, neuropsychological and neuroanatomical data to define silent pauses in connected speech, and illustrates interrelations between cognitive components, temporal aspects of speech, and anatomical indices, while it further highlights the importance of studying connected speech indices using different narrative tasks.
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Affiliation(s)
- G. Angelopoulou
- Neuropsychology&Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - D. Kasselimis
- Neuropsychology&Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Psychology, Panteion University of Social and Political Sciences, Athens, Greece
| | - M. Varkanitsa
- Center for Brain Recovery, Boston University, Boston, MA, United States
| | - D. Tsolakopoulos
- Neuropsychology&Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - G. Papageorgiou
- Neuropsychology&Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - G. Velonakis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - E. Meier
- The Aphasia Network Lab, Department of Communication Sciences and Disorders, Northeastern University, Boston, MA, United States
| | - E. Karavassilis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| | - V. Pantoleon
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - N. Laskaris
- Neuropsychology&Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Industrial Design and Production Engineering, School of Engineering, University of West Attica, Athens, Greece
| | - N. Kelekis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - A. Tountopoulou
- Stroke Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - S. Vassilopoulou
- Stroke Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - D. Goutsos
- Department of Linguistics, School of Philosophy, National and Kapodistrian University of Athens, Athens, Greece
| | - S. Kiran
- Center for Brain Recovery, Boston University, Boston, MA, United States
| | - C. Weiller
- Department of Neurology and Clinical Neuroscience, University Hospital Freiburg, Freiburg, Germany
| | - M. Rijntjes
- Department of Neurology and Clinical Neuroscience, University Hospital Freiburg, Freiburg, Germany
| | - C. Potagas
- Neuropsychology&Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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Liu J, Fu F, Li L, Yu J, Zhong D, Zhu S, Zhou Y, Liu B, Li J. Efficient Pause Extraction and Encode Strategy for Alzheimer's Disease Detection Using Only Acoustic Features from Spontaneous Speech. Brain Sci 2023; 13:477. [PMID: 36979287 PMCID: PMC10046767 DOI: 10.3390/brainsci13030477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 03/14/2023] Open
Abstract
Clinical studies have shown that speech pauses can reflect the cognitive function differences between Alzheimer's Disease (AD) and non-AD patients, while the value of pause information in AD detection has not been fully explored. Herein, we propose a speech pause feature extraction and encoding strategy for only acoustic-signal-based AD detection. First, a voice activity detection (VAD) method was constructed to detect pause/non-pause feature and encode it to binary pause sequences that are easier to calculate. Then, an ensemble machine-learning-based approach was proposed for the classification of AD from the participants' spontaneous speech, based on the VAD Pause feature sequence and common acoustic feature sets (ComParE and eGeMAPS). The proposed pause feature sequence was verified in five machine-learning models. The validation data included two public challenge datasets (ADReSS and ADReSSo, English voice) and a local dataset (10 audio recordings containing five patients and five controls, Chinese voice). Results showed that the VAD Pause feature was more effective than common feature sets (ComParE: 6373 features and eGeMAPS: 88 features) for AD classification, and that the ensemble method improved the accuracy by more than 5% compared to several baseline methods (8% on the ADReSS dataset; 5.9% on the ADReSSo dataset). Moreover, the pause-sequence-based AD detection method could achieve 80% accuracy on the local dataset. Our study further demonstrated the potential of pause information in speech-based AD detection, and also contributed to a more accessible and general pause feature extraction and encoding method for AD detection.
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Affiliation(s)
- Jiamin Liu
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Fan Fu
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Liang Li
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Junxiao Yu
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Dacheng Zhong
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Songsheng Zhu
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Yuxuan Zhou
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Bin Liu
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Jianqing Li
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
- The State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing 211166, China
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Rong P, Heidrick L. Functional Role of Temporal Patterning of Articulation in Speech Production: A Novel Perspective Toward Global Timing-Based Motor Speech Assessment and Rehabilitation. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:4577-4607. [PMID: 36399794 DOI: 10.1044/2022_jslhr-22-00089] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
PURPOSE This study aimed to (a) relate temporal patterning of articulation to functional speech outcomes in neurologically healthy and impaired speakers, (b) identify changes in temporal patterning of articulation in neurologically impaired speakers, and (c) evaluate how these changes can be modulated by speaking rate manipulation. METHOD Thirteen individuals with amyotrophic lateral sclerosis (ALS) and 10 neurologically healthy controls read a sentence 3 times, first at their habitual rate and then at a voluntarily slowed rate. Temporal patterning of articulation was assessed by 24 features characterizing the modulation patterns within (intra) and between (inter) four articulators (tongue tip, tongue body, lower lip, and jaw) at three linguistically relevant, hierarchically nested timescales corresponding to stress, syllable, and onset-rime/phoneme. For Aim 1, the features for the habitual rate condition were factorized and correlated with two functional speech outcomes-speech intelligibility and intelligible speaking rate. For Aims 2 and 3, the features were compared between groups and rate conditions, respectiely. RESULTS For Aim 1, the modulation features combined were moderately to strongly correlated with intelligibility (R 2 = .51-.53) and intelligible speaking rate (R 2 = .63-.73). For Aim 2, intra-articulator modulation was impaired in ALS, manifested by moderate-to-large decreases in modulation depth at all timescales and cross-timescale phase synchronization. Interarticulator modulation was relatively unaffected. For Aim 3, voluntary rate reduction improved several intra-articulator modulation features identified as being susceptible to the disease effect in individuals with ALS. CONCLUSIONS Disrupted temporal patterning of articulation, presumably reflecting impaired articulatory entrainment to linguistic rhythms, may contribute to functional speech declines in ALS. These impairments tend to be improved through voluntary rate reduction, possibly by reshaping the temporal template of motor plans to better accommodate the disease-related neuromechanical constraints in the articulatory system. These findings shed light on a novel perspective toward global timing-based motor speech assessment and rehabilitation.
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Affiliation(s)
- Panying Rong
- Department of Speech-Language-Hearing: Sciences & Disorders, The University of Kansas, Lawrence
| | - Lindsey Heidrick
- Department of Hearing and Speech, The University of Kansas Medical Center, Kansas City
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Cherney LR, Van Vuuren S. Complexity and feedback during script training in aphasia: A feasibility study. Arch Phys Med Rehabil 2022; 103:S205-S214. [PMID: 35304120 DOI: 10.1016/j.apmr.2022.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 03/08/2022] [Accepted: 03/10/2022] [Indexed: 11/02/2022]
Abstract
OBJECTIVE To explore the impact of complexity and feedback on script training outcomes in aphasia DESIGN: Randomized balanced single-blind 2 × 2 factorial design SETTING: Freestanding urban rehabilitation hospital. PARTICIPANTS Adults with fluent and nonfluent aphasia (at least six months post-onset). INTERVENTIONS Experimental treatment was AphasiaScripts®, a computer-based script training program. Scripts were 10-turns long and developed at different complexity levels to allow for comparison of high versus low complexity. The program was modified to contrast high versus low feedback conditions during sentence practice. Participants were instructed to practice three 30-minute sessions per day, six days a week for three weeks. MAIN MEASURES Gains achieved from baseline in accuracy and rate of production of trained and untrained script sentences at post-treatment and at 3-, 6- and 12-weeks after the end of treatment. RESULTS Sixteen participants completed the intervention. On the trained script, gains were statistically significant for both accuracy and words per minute, at post-treatment and 3-, 6- and 12-week maintenance. Gains on the untrained script were smaller than on the trained script; they were statistically significant only for accuracy at post-treatment and 3-week maintenance. Complexity had an influence on accuracy at post-treatment (F(1) = 4.8391, p = 0.0501) and at maintenance (F(1) = 5.3391, p = 0.04125). Practicing scripts with high complexity increased accuracy by 11.33% at post-treatment and by 9.90% at maintenance compared to scripts with low complexity. Participants with nonfluent aphasia made greater gains than those with fluent aphasia. There was no significant effect of feedback. CONCLUSION This study reinforces script training as a treatment option for aphasia. Results highlight the use of more complex scripts to better promote acquisition and maintenance of script production skills. There is a need for further investigation of these variables with larger samples and with other types of aphasia treatments. CLINICALTRIALS gov identifier: NCT01597037.
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Affiliation(s)
- Leora R Cherney
- Center for Aphasia Research and Treatment, Shirley Ryan AbilityLab, Chicago, IL; Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL.
| | - Sarel Van Vuuren
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, USA
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