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Fumel J, Bahuaud D, Weed E, Fusaroli R, Basirat A. A Systematic Review and Bayesian Meta-Analysis of Acoustic Measures of Prosody in Parkinson's Disease. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024:1-17. [PMID: 39018262 DOI: 10.1044/2024_jslhr-23-00588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/19/2024]
Abstract
PURPOSE Linguistic prosody is affected in Parkinson's disease (PD), which implicates the basal ganglia's role in the production of prosody. However, there is no recent systematic synthesis of the available acoustic evidence of prosodic impairment in PD. This study aimed to identify the acoustic features of linguistic prosody that are consistently affected in PD. METHOD The authors systematically reviewed articles that reported acoustic features of prosodic production in PD. Articles focused on fundamental frequency (F0) and its variability, intensity and its variability, speech and articulation rate, and pause duration and ratio. From a total of 648 records identified, 36 met criteria for inclusion and exclusion. For each acoustic measurement and task, data from people with PD (PwPD) were compared with those from controls to extract effect sizes. Pooled effect sizes were estimated using robust Bayesian hierarchical regression models. RESULTS PD was associated with decreased F0 variability and increased pause duration. There was limited evidence of reduced intensity variability and speech rate in PwPD. No evidence was found to suggest that PD affects articulation rate or pause ratio. CONCLUSIONS The primary acoustic parameters of prosody affected by PD are F0 variability and pause duration. The identification of these acoustic parameters has important clinical implications for the selection of PD management strategies. The association of F0 variability and pause duration with PD suggests that the neural circuits controlling these parameters are at least partly shared and might include the basal ganglia. While the current study focused on the phonetic realization of prosodic cues, future studies should examine whether and how PD affects prosody at higher levels of processing. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.25892923.
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Affiliation(s)
- Jules Fumel
- Univ. Lille, CNRS, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000 Lille, France
| | - Delphine Bahuaud
- Department of Speech and Language Therapy, Faculty of Medicine, UFR3S, Univ. Lille, F-59000 Lille, France
| | - Ethan Weed
- Department of Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University, Denmark
- Interacting Minds Centre, School of Culture and Society, Aarhus University, Denmark
| | - Riccardo Fusaroli
- Department of Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University, Denmark
- Interacting Minds Centre, School of Culture and Society, Aarhus University, Denmark
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia
| | - Anahita Basirat
- Univ. Lille, CNRS, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000 Lille, France
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Leclercq AL, Waelkens V, Roelant E, Allegaert M, Verhaegen I, Claes K, Dauvister E, Snijders S, Eggers K, Moyse A, Van Eerdenbrugh S. Treatment for preschool age children who stutter: Protocol of a randomised, non-inferiority parallel group pragmatic trial with Mini-KIDS, social cognitive behaviour treatment and the Lidcombe Program-TreatPaCS. PLoS One 2024; 19:e0304212. [PMID: 38990808 PMCID: PMC11239023 DOI: 10.1371/journal.pone.0304212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 04/22/2024] [Indexed: 07/13/2024] Open
Abstract
Stuttering is a speech disorder in which the flow of speech is disrupted by involuntary repetitions of sounds, syllables, words or phrases, stretched sounds or silent pauses in which the person is unable to produce sounds and sound transitions. Treatment success is the highest if stuttering is treated before the age of 6 years, before it develops into "persistent" stuttering. Stuttering treatment programs that focus directly on the speech of the child, like the Lidcombe Program, have shown to be effective in this age group. Mini-KIDS is also a treatment that focuses directly on the speech of the child. It is possible that capturing the increased brain plasticity at this age in combination with creating optimal conditions for recovery underlie these treatments' success rate. A treatment focusing on the cognitions, emotions and behaviour of the child, the social cognitive behaviour treatment (SCBT), is also frequently delivered in Belgium. In this study we want to compare, and collect data on the effectiveness, of these three treatment programs: Mini-KIDS, SCBT and the Lidcombe Program (protocol registered under number NCT05185726). 249 children will be allocated to one of three treatment groups. Stuttering specialists will treat the child (and guide the parents) with Mini-KIDS, the SCBT or the Lidcombe Program. They will be trained to deliver the programs meticulously. At 18 months after randomisation, the speech fluency of the child and the attitude of the child and parent(s) towards speech will be measured. It is expected that the three programs will achieve the same (near) zero levels of stuttering in nearly all children and a positive attitude towards speech at 18 months after the start of treatment. The amount of treatment hours to reach the (near) zero levels of stuttering will be compared between the different programmes. For families as well as for the health system this could generate important information.
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Affiliation(s)
- Anne-Lise Leclercq
- Research Unit for a life-Course perspective on Health and Education (RUCHE), University of Liège, Liège, Belgium
| | - Veerle Waelkens
- Department of Speech and Language Pathology, Artevelde University of Applied Sciences, Ghent, Belgium
| | - Ella Roelant
- Clinical Trials Center, Antwerp University Hospital (UZA), Antwerp, Belgium
| | - Mathias Allegaert
- Clinical Trials Center, Antwerp University Hospital (UZA), Antwerp, Belgium
| | - Iris Verhaegen
- Clinical Trials Center, Antwerp University Hospital (UZA), Antwerp, Belgium
| | - Kim Claes
- Clinical Trials Center, Antwerp University Hospital (UZA), Antwerp, Belgium
| | - Estelle Dauvister
- Research Unit for a life-Course perspective on Health and Education (RUCHE), University of Liège, Liège, Belgium
| | - Steffi Snijders
- Center of Expertise Care and Wellbeing, Thomas More University of Applied Sciences, Antwerp, Belgium
| | - Kurt Eggers
- Center of Expertise Care and Wellbeing, Thomas More University of Applied Sciences, Antwerp, Belgium
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
- Department of Psychology and Speech-Language Pathology, Turku University, Turku, Finland
| | - Astrid Moyse
- Research Unit for a life-Course perspective on Health and Education (RUCHE), University of Liège, Liège, Belgium
| | - Sabine Van Eerdenbrugh
- Center of Expertise Care and Wellbeing, Thomas More University of Applied Sciences, Antwerp, Belgium
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Desjardins M, Jomphe V, Lagadec-Gaulin L, Cohen M, Verdolini Abbott K. Influence of Sensory Monitoring on Speech Breathing Planning Processes: An Exploratory Study in Aging Speakers Reporting Dyspnea. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024:1-16. [PMID: 38980884 DOI: 10.1044/2024_jslhr-23-00673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2024]
Abstract
PURPOSE Previous studies have suggested that inspirations during speech pauses are influenced by the length of adjacent utterances, owing to respiratory motor planning and physiological recovery processes. The goal of this study was to examine how attention to respiratory sensations may influence these processes in aging speakers with dyspnea, by measuring the effect of sensory monitoring on the relationship between utterance length and the occurrence of inspirations, as well as on functional voice and respiratory measures. METHOD Seventeen adults aged 50 years and older with complaints of voicing-related dyspnea completed a repeated-measures protocol consisting of a 2-week baseline phase and a 4-week sensory monitoring phase. Audiovisual recordings of semistructured speech and self-report questionnaires were collected at study onset, after the baseline phase, and after the sensory monitoring phase. Repeated-measures logistic regressions were conducted to examine changes in the relationship between utterance length and the occurrence of inspirations in adjacent pauses, and repeated-measures analyses of variance were used to investigate any changes in functional voice and respiratory measures. RESULTS Planning and recovery processes appeared to remain constant across the baseline phase. From postbaseline to postsensory monitoring timepoints, a strengthening of the relationship between the presence of an inspiration during a speech pause and the length of the subsequent-but not preceding-utterance was noted. Significant improvements were noted in voice-related handicap from study onset to postsensory monitoring, but no changes were reported in respiratory comfort during speech. CONCLUSIONS Results suggest that respiratory planning processes, that is, the ability to plan breath intakes based on the length of upcoming utterances, may be modifiable behaviorally through targeted sensory monitoring. Further studies are warranted to validate the proposed role of respiratory sensation awareness in achieving skilled temporal coordination between voicing and breathing.
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Affiliation(s)
- Maude Desjardins
- School of Rehabilitation Sciences, Laval University, Quebec City, QC, Canada
- Center for Interdisciplinary Research in Rehabilitation and Social Integration (Cirris), Quebec City, QC, Canada
| | | | | | - Matthew Cohen
- Department of Communication Sciences & Disorders, University of Delaware, Newark, DE, United States
| | - Katherine Verdolini Abbott
- Department of Communication Sciences & Disorders, University of Delaware, Newark, DE, United States
- Department of Linguistics and Cognitive Science, University of Delaware, Newark, DE, United States
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Murphy TK, Nozari N, Holt LL. Transfer of statistical learning from passive speech perception to speech production. Psychon Bull Rev 2024; 31:1193-1205. [PMID: 37884779 PMCID: PMC11192850 DOI: 10.3758/s13423-023-02399-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2023] [Indexed: 10/28/2023]
Abstract
Communicating with a speaker with a different accent can affect one's own speech. Despite the strength of evidence for perception-production transfer in speech, the nature of transfer has remained elusive, with variable results regarding the acoustic properties that transfer between speakers and the characteristics of the speakers who exhibit transfer. The current study investigates perception-production transfer through the lens of statistical learning across passive exposure to speech. Participants experienced a short sequence of acoustically variable minimal pair (beer/pier) utterances conveying either an accent or typical American English acoustics, categorized a perceptually ambiguous test stimulus, and then repeated the test stimulus aloud. In the canonical condition, /b/-/p/ fundamental frequency (F0) and voice onset time (VOT) covaried according to typical English patterns. In the reverse condition, the F0xVOT relationship reversed to create an "accent" with speech input regularities atypical of American English. Replicating prior studies, F0 played less of a role in perceptual speech categorization in reverse compared with canonical statistical contexts. Critically, this down-weighting transferred to production, with systematic down-weighting of F0 in listeners' own speech productions in reverse compared with canonical contexts that was robust across male and female participants. Thus, the mapping of acoustics to speech categories is rapidly adjusted by short-term statistical learning across passive listening and these adjustments transfer to influence listeners' own speech productions.
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Affiliation(s)
- Timothy K Murphy
- Department of Psychology, Carnegie Mellon University, Baker Hall, Floor 3, Frew St, Pittsburgh, PA, 15213, USA.
- Center for the Neural Basis of Cognition, Pittsburgh, PA, 15213, USA.
| | - Nazbanou Nozari
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47405, USA
| | - Lori L Holt
- Department of Psychology, University of Texas at Austin, Austin, TX, 78712, USA
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5
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Franken MC, Oonk LC, Bast BJEG, Bouwen J, De Nil L. Erasmus clinical model of the onset and development of stuttering 2.0. JOURNAL OF FLUENCY DISORDERS 2024; 80:106040. [PMID: 38493582 DOI: 10.1016/j.jfludis.2024.106040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 12/25/2023] [Accepted: 02/11/2024] [Indexed: 03/19/2024]
Abstract
A clinical, evidence-based model to inform clients and their parents about the nature of stuttering is indispensable for the field. In this paper, we propose the Erasmus Clinical Model of Stuttering 2.0 for children who stutter and their parents, and adult clients. It provides an up-to-date, clinical model summary of current insights into the genetic, neurological, motoric, linguistic, sensory, temperamental, psychological and social factors (be it causal, eliciting, or maintaining) related to stuttering. First a review is presented of current insights in these factors, and of six scientific theories or models that have inspired the development of our current clinical model. Following this, we will propose the model, which has proven to be useful in clinical practice. The proposed Erasmus Clinical Model of Stuttering visualizes the onset and course of stuttering, and includes scales for stuttering severity and impact, to be completed by the (parent of) the person who stutters. The pathway of the model towards stuttering onset is based on predisposing and mediating factors. In most children with an onset of stuttering, stuttering is transient, but if stuttering continues, its severity and impact vary widely. The model includes the circle of Engel (1977), which visualizes unique interactions of relevant biological, psychological, and social factors that determine the speaker's experience of stuttering severity and its impact. Discussing these factors and their interaction with an individual client can feed into therapeutic targets. The model is supplemented by a lifeline casus.
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Affiliation(s)
- Marie-Christine Franken
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands.
| | - Leonoor C Oonk
- StotterFonds, Nijkerk, the Netherlands; University of Applied Sciences, Department of Speech-Language Therapy, Utrecht, the Netherlands
| | | | - Jan Bouwen
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands.
| | - Luc De Nil
- Department of Speech-Language Pathology, University of Toronto, Canada; Rehabilitation Sciences Institute, University of Toronto, Canada.
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Rowe HP, Tourville JA, Nieto-Castanon A, Garnett EO, Chow HM, Chang SE, Guenther FH. Evidence for planning and motor subtypes of stuttering based on resting state functional connectivity. BRAIN AND LANGUAGE 2024; 253:105417. [PMID: 38703523 PMCID: PMC11147703 DOI: 10.1016/j.bandl.2024.105417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 03/20/2024] [Accepted: 04/24/2024] [Indexed: 05/06/2024]
Abstract
We tested the hypothesis, generated from the Gradient Order Directions Into Velocities of Articulators (GODIVA) model, that adults who stutter (AWS) may comprise subtypes based on differing connectivity within the cortico-basal ganglia planning or motor loop. Resting state functional connectivity from 91 AWS and 79 controls was measured for all GODIVA model connections. Based on a principal components analysis, two connections accounted for most of the connectivity variability in AWS: left thalamus - left posterior inferior frontal sulcus (planning loop component) and left supplementary motor area - left ventral premotor cortex (motor loop component). A k-means clustering algorithm using the two connections revealed three clusters of AWS. Cluster 1 was significantly different from controls in both connections; Cluster 2 was significantly different in only the planning loop; and Cluster 3 was significantly different in only the motor loop. These findings suggest the presence of planning and motor subtypes of stuttering.
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Affiliation(s)
| | | | | | | | | | - Soo-Eun Chang
- University of Michigan, Ann Arbor, MI, USA; Ewha Womans University, Seoul, South Korea.
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Beach SD, Niziolek CA. Inhibitory modulation of speech trajectories: Evidence from a vowel-modified Stroop task. Cogn Neuropsychol 2024:1-19. [PMID: 38778635 DOI: 10.1080/02643294.2024.2315831] [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: 09/06/2022] [Accepted: 01/15/2024] [Indexed: 05/25/2024]
Abstract
How does cognitive inhibition influence speaking? The Stroop effect is a classic demonstration of the interference between reading and color naming. We used a novel variant of the Stroop task to measure whether this interference impacts not only the response speed, but also the acoustic properties of speech. Speakers named the color of words in three categories: congruent (e.g., red written in red), color-incongruent (e.g., green written in red), and vowel-incongruent - those with partial phonological overlap with their color (e.g., rid written in red, grain in green, and blow in blue). Our primary aim was to identify any effect of the distractor vowel on the acoustics of the target vowel. Participants were no slower to respond on vowel-incongruent trials, but formant trajectories tended to show a bias away from the distractor vowel, consistent with a phenomenon of acoustic inhibition that increases contrast between confusable alternatives.
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Affiliation(s)
- Sara D Beach
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Caroline A Niziolek
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA
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8
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Peña-Casanova J, Sánchez-Benavides G, Sigg-Alonso J. Updating functional brain units: Insights far beyond Luria. Cortex 2024; 174:19-69. [PMID: 38492440 DOI: 10.1016/j.cortex.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 01/15/2024] [Accepted: 02/15/2024] [Indexed: 03/18/2024]
Abstract
This paper reviews Luria's model of the three functional units of the brain. To meet this objective, several issues were reviewed: the theory of functional systems and the contributions of phylogenesis and embryogenesis to the brain's functional organization. This review revealed several facts. In the first place, the relationship/integration of basic homeostatic needs with complex forms of behavior. Secondly, the multi-scale hierarchical and distributed organization of the brain and interactions between cells and systems. Thirdly, the phylogenetic role of exaptation, especially in basal ganglia and cerebellum expansion. Finally, the tripartite embryogenetic organization of the brain: rhinic, limbic/paralimbic, and supralimbic zones. Obviously, these principles of brain organization are in contradiction with attempts to establish separate functional brain units. The proposed new model is made up of two large integrated complexes: a primordial-limbic complex (Luria's Unit I) and a telencephalic-cortical complex (Luria's Units II and III). As a result, five functional units were delineated: Unit I. Primordial or preferential (brainstem), for life-support, behavioral modulation, and waking regulation; Unit II. Limbic and paralimbic systems, for emotions and hedonic evaluation (danger and relevance detection and contribution to reward/motivational processing) and the creation of cognitive maps (contextual memory, navigation, and generativity [imagination]); Unit III. Telencephalic-cortical, for sensorimotor and cognitive processing (gnosis, praxis, language, calculation, etc.), semantic and episodic (contextual) memory processing, and multimodal conscious agency; Unit IV. Basal ganglia systems, for behavior selection and reinforcement (reward-oriented behavior); Unit V. Cerebellar systems, for the prediction/anticipation (orthometric supervision) of the outcome of an action. The proposed brain units are nothing more than abstractions within the brain's simultaneous and distributed physiological processes. As function transcends anatomy, the model necessarily involves transition and overlap between structures. Beyond the classic approaches, this review includes information on recent systemic perspectives on functional brain organization. The limitations of this review are discussed.
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Affiliation(s)
- Jordi Peña-Casanova
- Integrative Pharmacology and Systems Neuroscience Research Group, Neuroscience Program, Hospital del Mar Medical Research Institute, Barcelona, Spain; Department of Psychiatry and Legal Medicine, Autonomous University of Barcelona, Bellaterra, Barcelona, Spain; Test Barcelona Services, Teià, Barcelona, Spain.
| | | | - Jorge Sigg-Alonso
- Department of Behavioral and Cognitive Neurobiology, Institute of Neurobiology, National Autonomous University of México (UNAM), Queretaro, Mexico
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Eichler K, Hampel S, Alejandro-García A, Calle-Schuler SA, Santana-Cruz A, Kmecova L, Blagburn JM, Hoopfer ED, Seeds AM. Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila. eLife 2024; 12:RP87602. [PMID: 38634460 PMCID: PMC11026096 DOI: 10.7554/elife.87602] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024] Open
Abstract
Mechanosensory neurons located across the body surface respond to tactile stimuli and elicit diverse behavioral responses, from relatively simple stimulus location-aimed movements to complex movement sequences. How mechanosensory neurons and their postsynaptic circuits influence such diverse behaviors remains unclear. We previously discovered that Drosophila perform a body location-prioritized grooming sequence when mechanosensory neurons at different locations on the head and body are simultaneously stimulated by dust (Hampel et al., 2017; Seeds et al., 2014). Here, we identify nearly all mechanosensory neurons on the Drosophila head that individually elicit aimed grooming of specific head locations, while collectively eliciting a whole head grooming sequence. Different tracing methods were used to reconstruct the projections of these neurons from different locations on the head to their distinct arborizations in the brain. This provides the first synaptic resolution somatotopic map of a head, and defines the parallel-projecting mechanosensory pathways that elicit head grooming.
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Affiliation(s)
- Katharina Eichler
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences CampusSan JuanPuerto Rico
| | - Stefanie Hampel
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences CampusSan JuanPuerto Rico
| | - Adrián Alejandro-García
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences CampusSan JuanPuerto Rico
| | - Steven A Calle-Schuler
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences CampusSan JuanPuerto Rico
| | - Alexis Santana-Cruz
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences CampusSan JuanPuerto Rico
| | - Lucia Kmecova
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences CampusSan JuanPuerto Rico
| | - Jonathan M Blagburn
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences CampusSan JuanPuerto Rico
| | - Eric D Hoopfer
- Neuroscience Program, Carleton CollegeNorthfieldUnited States
| | - Andrew M Seeds
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences CampusSan JuanPuerto Rico
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Linn W, Barrios‐Martinez J, Fernandes‐Cabral D, Jacquesson T, Nuñez M, Gomez R, Anania Y, Fernandez‐Miranda J, Yeh F. Probabilistic coverage of the frontal aslant tract in young adults: Insights into individual variability, lateralization, and language functions. Hum Brain Mapp 2024; 45:e26630. [PMID: 38376145 PMCID: PMC10878181 DOI: 10.1002/hbm.26630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 02/03/2024] [Accepted: 02/06/2024] [Indexed: 02/21/2024] Open
Abstract
The frontal aslant tract (FAT) is a crucial neural pathway of language and speech, but little is known about its connectivity and segmentation differences across populations. In this study, we investigate the probabilistic coverage of the FAT in a large sample of 1065 young adults. Our primary goal was to reveal individual variability and lateralization of FAT and its structure-function correlations in language processing. The study utilized diffusion MRI data from 1065 subjects obtained from the Human Connectome Project. Automated tractography using DSI Studio software was employed to map white matter bundles, and the results were examined to study the population variation of the FAT. Additionally, anatomical dissections were performed to validate the fiber tracking results. The tract-to-region connectome, based on Human Connectome Project-MMP parcellations, was utilized to provide population probability of the tract-to-region connections. Our results showed that the left anterior FAT exhibited the most substantial individual differences, particularly in the superior and middle frontal gyrus, with greater variability in the superior than the inferior region. Furthermore, we found left lateralization in FAT, with a greater difference in coverage in the inferior and posterior portions. Additionally, our analysis revealed a significant positive correlation between the left FAT inferior coverage area and the performance on the oral reading recognition (p = .016) and picture vocabulary (p = .0026) tests. In comparison, fractional anisotropy of the right FAT exhibited marginal significance in its correlation (p = .056) with Picture Vocabulary Test. Our findings, combined with the connectivity patterns of the FAT, allowed us to segment its structure into anterior and posterior segments. We found significant variability in FAT coverage among individuals, with left lateralization observed in both macroscopic shape measures and microscopic diffusion metrics. Our findings also suggested a potential link between the size of the left FAT's inferior coverage area and language function tests. These results enhance our understanding of the FAT's role in brain connectivity and its potential implications for language and executive functions.
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Affiliation(s)
- Wen‐Jieh Linn
- Department of Neurological SurgeryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | | | - Timothée Jacquesson
- CHU de Lyon – Hôpital Neurologique et Neurochirurgical Pierre WertheimerLyonFrance
| | - Maximiliano Nuñez
- Department of Neurological SurgeryHospital El CruceBuenos AiresArgentina
| | - Ricardo Gomez
- Department of Neurological SurgeryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Yury Anania
- Department of Neurological SurgeryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Fang‐Cheng Yeh
- Department of Neurological SurgeryUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of BioengineeringUniversity of PittsburghPittsburghPennsylvaniaUSA
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11
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Mollaei F, Basha Chinoor MA. Microstructural white matter changes underlying speech deficits in Parkinson's disease. BRAIN AND LANGUAGE 2024; 249:105378. [PMID: 38198905 DOI: 10.1016/j.bandl.2024.105378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 10/04/2023] [Accepted: 01/02/2024] [Indexed: 01/12/2024]
Abstract
Speech impairments are one of the common symptoms of individuals with Parkinson's disease (PD). However, little is known about the underlying neuroanatomical structural deficits specifically in the basal ganglia-thalamocortical (BGTC) loop in the speech deficits of PD. Here we investigated white matter differences in PD using probabilistic tractography. Diffusion tensor imaging data were downloaded from the Parkinson's Progression Markers Initiative database. We included three groups of participants: 20 PD individuals with speech deficits, 20 PD individuals without speech deficits, and 20 age- and gender-matched control participants. Overall, PD individuals with speech deficits had higher mean diffusivity in the BGTC pathway in the left hemisphere compared with PD individuals without speech deficits. The present study exhibits that there may be a distinct pathophysiological profile of white matter for speech deficits in PD.
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Affiliation(s)
- Fatemeh Mollaei
- School of Psychology and Clinical Language Sciences, University of Reading, Harry Pitt Building, Early Gate, Whiteknights, RG6 6ES Reading, England, United Kingdom; Centre for Integrative Neuroscience and Neurodynamcis (CINN), University of Reading, Reading, United Kingdom, Early Gate, Whiteknights, RG6 6BE Reading, England, United Kingdom.
| | - Mohammed Asif Basha Chinoor
- School of Psychology and Clinical Language Sciences, University of Reading, Harry Pitt Building, Early Gate, Whiteknights, RG6 6ES Reading, England, United Kingdom; Centre for Integrative Neuroscience and Neurodynamcis (CINN), University of Reading, Reading, United Kingdom, Early Gate, Whiteknights, RG6 6BE Reading, England, United Kingdom
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12
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Neef NE, Chang SE. Knowns and unknowns about the neurobiology of stuttering. PLoS Biol 2024; 22:e3002492. [PMID: 38386639 PMCID: PMC10883586 DOI: 10.1371/journal.pbio.3002492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024] Open
Abstract
Stuttering occurs in early childhood during a dynamic phase of brain and behavioral development. The latest studies examining children at ages close to this critical developmental period have identified early brain alterations that are most likely linked to stuttering, while spontaneous recovery appears related to increased inter-area connectivity. By contrast, therapy-driven improvement in adults is associated with a functional reorganization within and beyond the speech network. The etiology of stuttering, however, remains enigmatic. This Unsolved Mystery highlights critical questions and points to neuroimaging findings that could inspire future research to uncover how genetics, interacting neural hierarchies, social context, and reward circuitry contribute to the many facets of stuttering.
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Affiliation(s)
- Nicole E. Neef
- Institute for Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Communication Disorders, Ewha Womans University, Seoul, Korea
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Zhao S, Dai G, Li J, Zhu X, Huang X, Li Y, Tan M, Wang L, Fang P, Chen X, Yan N, Liu H. An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG. NPJ Digit Med 2024; 7:3. [PMID: 38182737 PMCID: PMC10770376 DOI: 10.1038/s41746-023-00983-9] [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: 08/23/2023] [Accepted: 11/29/2023] [Indexed: 01/07/2024] Open
Abstract
Parkinson's disease (PD) exhibits significant clinical heterogeneity, presenting challenges in the identification of reliable electroencephalogram (EEG) biomarkers. Machine learning techniques have been integrated with resting-state EEG for PD diagnosis, but their practicality is constrained by the interpretable features and the stochastic nature of resting-state EEG. The present study proposes a novel and interpretable deep learning model, graph signal processing-graph convolutional networks (GSP-GCNs), using event-related EEG data obtained from a specific task involving vocal pitch regulation for PD diagnosis. By incorporating both local and global information from single-hop and multi-hop networks, our proposed GSP-GCNs models achieved an averaged classification accuracy of 90.2%, exhibiting a significant improvement of 9.5% over other deep learning models. Moreover, the interpretability analysis revealed discriminative distributions of large-scale EEG networks and topographic map of microstate MS5 learned by our models, primarily located in the left ventral premotor cortex, superior temporal gyrus, and Broca's area that are implicated in PD-related speech disorders, reflecting our GSP-GCN models' ability to provide interpretable insights identifying distinctive EEG biomarkers from large-scale networks. These findings demonstrate the potential of interpretable deep learning models coupled with voice-related EEG signals for distinguishing PD patients from healthy controls with accuracy and elucidating the underlying neurobiological mechanisms.
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Affiliation(s)
- Shuzhi Zhao
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Guangyan Dai
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jingting Li
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaoxia Zhu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiyan Huang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yongxue Li
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Mingdan Tan
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Lan Wang
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Peng Fang
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xi Chen
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
| | - Nan Yan
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
- Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - Hanjun Liu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
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14
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Eichler K, Hampel S, Alejandro-García A, Calle-Schuler SA, Santana-Cruz A, Kmecova L, Blagburn JM, Hoopfer ED, Seeds AM. Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.11.528119. [PMID: 36798384 PMCID: PMC9934617 DOI: 10.1101/2023.02.11.528119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
Mechanosensory neurons located across the body surface respond to tactile stimuli and elicit diverse behavioral responses, from relatively simple stimulus location-aimed movements to complex movement sequences. How mechanosensory neurons and their postsynaptic circuits influence such diverse behaviors remains unclear. We previously discovered that Drosophila perform a body location-prioritized grooming sequence when mechanosensory neurons at different locations on the head and body are simultaneously stimulated by dust (Hampel et al., 2017; Seeds et al., 2014). Here, we identify nearly all mechanosensory neurons on the Drosophila head that individually elicit aimed grooming of specific head locations, while collectively eliciting a whole head grooming sequence. Different tracing methods were used to reconstruct the projections of these neurons from different locations on the head to their distinct arborizations in the brain. This provides the first synaptic resolution somatotopic map of a head, and defines the parallel-projecting mechanosensory pathways that elicit head grooming.
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Affiliation(s)
- Katharina Eichler
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
- Contributed equally
| | - Stefanie Hampel
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
- Contributed equally
| | - Adrián Alejandro-García
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
- Contributed equally
| | - Steven A Calle-Schuler
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
| | - Alexis Santana-Cruz
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
| | - Lucia Kmecova
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
- Neuroscience Program, Carleton College, Northfield, Minnesota
- Contributed equally
| | - Jonathan M Blagburn
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
| | - Eric D Hoopfer
- Neuroscience Program, Carleton College, Northfield, Minnesota
| | - Andrew M Seeds
- Institute of Neurobiology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
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Matsuhashi K, Itahashi T, Aoki R, Hashimoto RI. Meta-analysis of structural integrity of white matter and functional connectivity in developmental stuttering. Brain Res Bull 2023; 205:110827. [PMID: 38013029 DOI: 10.1016/j.brainresbull.2023.110827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 11/21/2023] [Accepted: 11/23/2023] [Indexed: 11/29/2023]
Abstract
Developmental stuttering is a speech disfluency disorder characterized by repetitions, prolongations, and blocks of speech. While a number of neuroimaging studies have identified alterations in localized brain activation during speaking in persons with stuttering (PWS), it is unclear whether neuroimaging evidence converges on alterations in structural integrity of white matter and functional connectivity (FC) among multiple regions involved in supporting fluent speech. In the present study, we conducted coordinate-based meta-analyses according to the PRISMA guidelines for available publications that studied fractional anisotropy (FA) using tract-based spatial statistics (TBSS) for structural integrity and the seed-based voxel-wise FC analyses. The search retrieved 11 publications for the TBSS FA studies, 29 seed-based FC datasets from 6 publications for the resting-state, and 29 datasets from 6 publications for the task-based studies. The meta-analysis of TBSS FA revealed that PWS exhibited FA reductions in the middle and posterior segments of the left superior longitudinal fasciculus. Furthermore, the analysis of resting-state FC demonstrated that PWS had reduced FC in the right supplementary motor area and inferior parietal cortex, whereas an increase in FC was observed in the left cerebellum crus I. Conversely, we observed increased FC for task-based FC in regions implicated in speech production or sequential movements, including the anterior cingulate cortex, posterior insula, and bilateral cerebellum crus I in PWS. Functional network characterization of the altered FCs revealed that the sets of reduced resting-state and increased task-based FCs were largely distinct, but the somatomotor and striatum/thalamus networks were foci of alterations in both conditions. These observations indicate that developmental stuttering is characterized by structural and functional alterations in multiple brain networks that support speech fluency or sequential motor processes, including cortico-cortical and subcortical connections.
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Affiliation(s)
- Kengo Matsuhashi
- Department of Language Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Ryuta Aoki
- Department of Language Sciences, Tokyo Metropolitan University, Tokyo, Japan; Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
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16
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Masapollo M, Zezas E, Shamsi A, Wayland R, Smith DJ, Guenther FH. Disentangling Effects of Memory Storage and Inter-articulator Coordination on Generalization in Speech Motor Sequence Learning. JOURNAL OF PSYCHOLINGUISTIC RESEARCH 2023; 52:2181-2210. [PMID: 37488461 PMCID: PMC11034796 DOI: 10.1007/s10936-023-09998-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/10/2023] [Indexed: 07/26/2023]
Abstract
Generalization in motor control is the extent to which motor learning affects movements in situations different than those in which it originally occurred. Recent data on orofacial speech movements indicates that motor sequence learning generalizes to novel syllable sequences containing phonotactically illegal, but previously practiced, consonant clusters. Practicing an entire syllable, however, results in even larger performance gains compared to practicing just its clusters. These patterns of generalization could reflect language-general changes in phonological memory storage and/or inter-articulator coordination during motor sequence learning. To disentangle these factors, we conducted two experiments in which talkers intensively practiced producing novel syllables containing illegal onset and coda clusters over two consecutive days. During the practice phases of both experiments, we observed that, through repetition, talkers gradually produced the syllables with fewer errors, indicative of learning. After learning, talkers were tested for generalization to single syllables (Experiment 1) or syllable pairs (Experiment 2) that overlapped to varying degrees with the practiced syllables. Across both experiments, we found that performance improvements from practicing syllables with illegal clusters partially generalized to novel syllables that contained those clusters, but performance was more error prone if the clusters occurred in a different syllable position (onset versus coda) as in practice, demonstrating that inter-articulator coordination is contextually sensitive. Furthermore, changing the position of a cluster was found to be more deleterious to motor performance during the production of the second syllables in syllable pairs, which required talkers to store more phonological material in memory prior to articulation, compared to single syllables. This interaction effect reveals a complex interplay between memory storage and inter-articulator coordination on generalization in speech motor sequence learning.
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Affiliation(s)
- Matthew Masapollo
- Department of Speech, Language, and Hearing Sciences, University of Florida, 1225 Center Drive, Room 2150, Gainesville, FL, 32610, USA.
| | - Emily Zezas
- Department of Speech, Language, and Hearing Sciences, University of Florida, 1225 Center Drive, Room 2150, Gainesville, FL, 32610, USA
| | - Allen Shamsi
- Department of Linguistics, University of Florida, 4131 Turlington Hall, P.O. Box 115454, Gainesville, FL, 32611, USA
| | - Ratree Wayland
- Department of Linguistics, University of Florida, 4131 Turlington Hall, P.O. Box 115454, Gainesville, FL, 32611, USA
| | - Dante J Smith
- Graduate Program in Neuroscience, Boston University, 677 Beacon Street, Boston, MA, 02215, USA
| | - Frank H Guenther
- Department of Speech, Language, and Hearing Sciences, Boston University, 677 Beacon Street, Boston, MA, 02215, USA
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17
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Cummine J, Ngo T, Nisbet K. Characterization of Cortical and Subcortical Structural Brain Asymmetry in Adults with and without Dyslexia. Brain Sci 2023; 13:1622. [PMID: 38137070 PMCID: PMC10741947 DOI: 10.3390/brainsci13121622] [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: 10/05/2023] [Revised: 10/31/2023] [Accepted: 11/16/2023] [Indexed: 12/24/2023] Open
Abstract
Multiple cortical (planum temporale, supramarginal gyrus, fusiform gyrus) and subcortical (caudate, putamen, and thalamus) regions have shown different functional lateralization patterns for skilled vs. dyslexic readers. The extent to which skilled and dyslexic adult readers show differential structural lateralization remains to be seen. Method: Participants included 72 adults (N = 41 skilled; N = 31 dyslexic) who underwent a high-resolution MRI brain scan. The grey matter volume of the cortical and subcortical structures was extracted. Results: While there were clear behavioral differences between the groups, there were no differences in any of the isolated structures (i.e., either total size or asymmetry index) and limited evidence for any brain-behavior relationships. We did find a significant cortical-cortical relationship (p = 0.006) and a subcortical-subcortical relationship (p = 0.008), but not cross-over relationships. Overall, this work provides unique information on neural structures as they relate to reading in skilled and dyslexic readers.
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Affiliation(s)
- Jacqueline Cummine
- Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB T6G2G4, Canada; (T.N.); (K.N.)
- Neuroscience and Mental Health Institute, Faculty of Medicine, University of Alberta, Edmonton, AB T6G2G4, Canada
| | - Tiffany Ngo
- Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB T6G2G4, Canada; (T.N.); (K.N.)
| | - Kelly Nisbet
- Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB T6G2G4, Canada; (T.N.); (K.N.)
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18
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Miller HE, Garnett EO, Heller Murray ES, Nieto-Castañón A, Tourville JA, Chang SE, Guenther FH. A comparison of structural morphometry in children and adults with persistent developmental stuttering. Brain Commun 2023; 5:fcad301. [PMID: 38025273 PMCID: PMC10653153 DOI: 10.1093/braincomms/fcad301] [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: 04/18/2023] [Revised: 10/07/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
This cross-sectional study aimed to differentiate earlier occurring neuroanatomical differences that may reflect core deficits in stuttering versus changes associated with a longer duration of stuttering by analysing structural morphometry in a large sample of children and adults who stutter and age-matched controls. Whole-brain T1-weighted structural scans were obtained from 166 individuals who stutter (74 children, 92 adults; ages 3-58) and 191 controls (92 children, 99 adults; ages 3-53) from eight prior studies in our laboratories. Mean size and gyrification measures were extracted using FreeSurfer software for each cortical region of interest. FreeSurfer software was also used to generate subcortical volumes for regions in the automatic subcortical segmentation. For cortical analyses, separate ANOVA analyses of size (surface area, cortical thickness) and gyrification (local gyrification index) measures were conducted to test for a main effect of diagnosis (stuttering, control) and the interaction of diagnosis-group with age-group (children, adults) across cortical regions. Cortical analyses were first conducted across a set of regions that comprise the speech network and then in a second whole-brain analysis. Next, separate ANOVA analyses of volume were conducted across subcortical regions in each hemisphere. False discovery rate corrections were applied for all analyses. Additionally, we tested for correlations between structural morphometry and stuttering severity. Analyses revealed thinner cortex in children who stutter compared with controls in several key speech-planning regions, with significant correlations between cortical thickness and stuttering severity. These differences in cortical size were not present in adults who stutter, who instead showed reduced gyrification in the right inferior frontal gyrus. Findings suggest that early cortical anomalies in key speech planning regions may be associated with stuttering onset. Persistent stuttering into adulthood may result from network-level dysfunction instead of focal differences in cortical morphometry. Adults who stutter may also have a more heterogeneous neural presentation than children who stutter due to their unique lived experiences.
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Affiliation(s)
- Hilary E Miller
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Emily O Garnett
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Elizabeth S Heller Murray
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
- Department of Communication Sciences & Disorders, Temple University, Philadelphia, PA 19122, USA
| | - Alfonso Nieto-Castañón
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Jason A Tourville
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Communication Disorders, Ewha Womans University, Seoul 03760, Korea
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI 48824, USA
| | - Frank H Guenther
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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19
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Meier AM, Guenther FH. Neurocomputational modeling of speech motor development. JOURNAL OF CHILD LANGUAGE 2023; 50:1318-1335. [PMID: 37337871 PMCID: PMC10615680 DOI: 10.1017/s0305000923000260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
This review describes a computational approach for modeling the development of speech motor control in infants. We address the development of two levels of control: articulation of individual speech sounds (defined here as phonemes, syllables, or words for which there is an optimized motor program) and production of sound sequences such as phrases or sentences. We describe the DIVA model of speech motor control and its application to the problem of learning individual sounds in the infant's native language. Then we describe the GODIVA model, an extension of DIVA, and how chunking of frequently produced phoneme sequences is implemented within it.
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Affiliation(s)
- Andrew M Meier
- Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA02215
| | - Frank H Guenther
- Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA02215
- Department of Biomedical Engineering, Boston University, Boston, MA02215
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20
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Meier A, Kuzdeba S, Jackson L, Daliri A, Tourville JA, Guenther FH, Greenlee JDW. Lateralization and Time-Course of Cortical Phonological Representations during Syllable Production. eNeuro 2023; 10:ENEURO.0474-22.2023. [PMID: 37739786 PMCID: PMC10561542 DOI: 10.1523/eneuro.0474-22.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 08/15/2023] [Accepted: 08/28/2023] [Indexed: 09/24/2023] Open
Abstract
Spoken language contains information at a broad range of timescales, from phonetic distinctions on the order of milliseconds to semantic contexts which shift over seconds to minutes. It is not well understood how the brain's speech production systems combine features at these timescales into a coherent vocal output. We investigated the spatial and temporal representations in cerebral cortex of three phonological units with different durations: consonants, vowels, and syllables. Electrocorticography (ECoG) recordings were obtained from five participants while speaking single syllables. We developed a novel clustering and Kalman filter-based trend analysis procedure to sort electrodes into temporal response profiles. A linear discriminant classifier was used to determine how strongly each electrode's response encoded phonological features. We found distinct time-courses of encoding phonological units depending on their duration: consonants were represented more during speech preparation, vowels were represented evenly throughout trials, and syllables during production. Locations of strongly speech-encoding electrodes (the top 30% of electrodes) likewise depended on phonological element duration, with consonant-encoding electrodes left-lateralized, vowel-encoding hemispherically balanced, and syllable-encoding right-lateralized. The lateralization of speech-encoding electrodes depended on onset time, with electrodes active before or after speech production favoring left hemisphere and those active during speech favoring the right. Single-electrode speech classification revealed cortical areas with preferential encoding of particular phonemic elements, including consonant encoding in the left precentral and postcentral gyri and syllable encoding in the right middle frontal gyrus. Our findings support neurolinguistic theories of left hemisphere specialization for processing short-timescale linguistic units and right hemisphere processing of longer-duration units.
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Affiliation(s)
- Andrew Meier
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215
| | - Scott Kuzdeba
- Graduate Program for Neuroscience, Boston University, Boston, MA 02215
| | - Liam Jackson
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215
| | - Ayoub Daliri
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215
- College of Health Solutions, Arizona State University, Tempe, AZ 85004
| | - Jason A Tourville
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215
| | - Frank H Guenther
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215
- Department of Biomedical Engineering, Boston University, Boston, MA 02215
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02215
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02215
| | - Jeremy D W Greenlee
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242
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Preston JL, Caballero NF, Leece MC, Wang D, Herbst BM, Benway NR. A Randomized Controlled Trial of Treatment Distribution and Biofeedback Effects on Speech Production in School-Age Children With Apraxia of Speech. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023:1-23. [PMID: 37611182 DOI: 10.1044/2023_jslhr-22-00622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
PURPOSE This study examines how ultrasound biofeedback and intensive treatment distribution affect speech sound generalization during an evidence-based treatment, Speech Motor Chaining, for children with persisting speech errors associated with childhood apraxia of speech (CAS). METHOD In a 2 × 2 factorial randomized controlled trial, children ages 9-17 years meeting CAS criteria were randomized to receive (a) a distributed treatment (20 sessions twice weekly over 10 weeks) or intensive treatment (20 hr in 5 weeks, with 10 hr in Week 1) and (b) treatment with or without biofeedback. Due to the COVID pandemic, some participants were randomized to distributed/intensive telepractice treatment only. The primary outcome was percent target sounds correct on untreated phrases (i.e., generalization) at the 10-week time point. More than 50,000 narrow phonetic transcriptions were analyzed. RESULTS Forty-eight participants completed treatment. Intensive treatment significantly increased generalization at all time points. The effect of biofeedback was significant at 5 weeks from the start of treatment but not significant at the primary 10-week time point. However, when comparing each group immediately after their 20 hr of treatment finished, generalization was significantly greater in intensive over distributed treatment and greater in ultrasound over no-ultrasound treatment (with a significant interaction favoring intensive treatment with ultrasound). Only the advantage of intensive treatment remained significant 5 weeks after groups finished treatment. There was no significant difference between face-to-face and telepractice modalities. CONCLUSIONS When the number of treatment hours is fixed, an intensive schedule of Speech Motor Chaining facilitated greater improvement than a distributed schedule. Ultrasound biofeedback initially accelerated learning, but the benefits may dissipate as treatment continues or after it ends.
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22
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Buchwald A, Cheng HS. Factors Affecting Nonnative Consonant Cluster Learning. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:3038-3051. [PMID: 36634242 PMCID: PMC10555463 DOI: 10.1044/2022_jslhr-22-00322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 10/03/2022] [Accepted: 10/24/2022] [Indexed: 06/17/2023]
Abstract
PURPOSE Nonnative consonant cluster learning has become a useful experimental approach for learning about speech motor learning, and we sought to enhance our understanding of this area and to establish best practices for this type of research. METHOD One hundred twenty individuals completed a nonnative consonant cluster learning task within a speech motor learning paradigm. Following a brief prepractice, participants then practiced the production of eight word-initial nonnative consonant clusters embedded in bisyllabic nonwords (e.g., GD in /gdivu/). The clusters ranged in difficulty according to linguistic typology and sonority sequencing. Acquisition was operationalized as the change across the practice section and learning was assessed with two retention sessions (R1: 30 min after practice; R2: 2 days after practice). We evaluated changes in accuracy as well as in the acoustic details of the cluster production at each time point. RESULTS Overall, participants improved in their production of the consonant clusters. Accuracy increased, and duration measures decreased in specific measures associated with cluster production. The change in coordination measured in the acoustics changed both for clusters that were incorrectly produced and for those that were correctly produced, indicating continued motor learning even in accurate tokens. CONCLUSIONS These results aid our understanding of the complexity of nonnative consonant cluster learning. In particular, both factors related to both phonological and speech motor control properties affect the learning of novel speech sequences. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.21844185.
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23
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Janse E, Shen C, de Kerf E. Diadochokinesis Performance and Its Link to Cognitive Control: Alternating Versus Non-Alternating Diadochokinesis. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023:1-11. [PMID: 37494929 DOI: 10.1044/2023_jslhr-23-00076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
PURPOSE In a previous publication, we observed that maximum speech performance in a nonclinical sample of young adult speakers producing alternating diadochokinesis (DDK) sequences (e.g., rapidly repeating "pataka") was associated with cognitive control: Those with better cognitive switching abilities (i.e., switching flexibly between tasks or mental sets) showed higher DDK accuracy. To follow up on these results, we investigated whether this previously observed association is specific to the rapid production of alternating sequences or also holds for non-alternating sequences (e.g., "tatata"). METHOD For the same sample of 78 young adults as in our previous study, we additionally analyzed their accuracy and rate performance on non-alternating sequences to investigate whether executive control abilities (i.e., indices of speakers' updating, inhibition, and switching abilities) were more strongly associated with production of alternating, as compared with non-alternating, sequences. RESULTS Of the three executive control abilities, only switching predicted both DDK accuracy and rate. The association between cognitive switching (and updating ability) and DDK accuracy was only observed for alternating sequences. The DDK rate model included a simple effect of cognitive switching, such that those with better switching ability showed slower diadochokinetic rates across the board. Thus, those with better cognitive ability showed more accurate (alternating) diadochokinetic production and slower maximum rates for both alternating and non-alternating sequences. CONCLUSION These combined results suggest that those with better executive control have better control over their maximum speech performance and show that the link between cognitive control and maximum speech performance also holds for non-alternating sequences.
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Affiliation(s)
- Esther Janse
- Centre for Language Studies, Radboud University, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Chen Shen
- Centre for Language Studies, Radboud University, Nijmegen, the Netherlands
- Avans University of Applied Sciences, 's-Hertogenbosch, the Netherlands
| | - Esther de Kerf
- Centre for Language Studies, Radboud University, Nijmegen, the Netherlands
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24
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Littlejohn M, Maas E. How to cut the pie is no piece of cake: Toward a process-oriented approach to assessment and diagnosis of speech sound disorders. INTERNATIONAL JOURNAL OF LANGUAGE & COMMUNICATION DISORDERS 2023. [PMID: 37483105 DOI: 10.1111/1460-6984.12934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 06/29/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND 'Speech sound disorder' is an umbrella term that encompasses dysarthria, articulation disorders, childhood apraxia of speech and phonological disorders. However, differential diagnosis between these disorders is a persistent challenge in speech pathology, as many diagnostic procedures use symptom clusters instead of identifying an origin of breakdown in the speech and language system. AIMS This article reviews typical and disordered speech through the lens of two well-developed models of production-one focused on phonological encoding and one focused on speech motor planning. We illustrate potential breakdown locations within these models that may relate to childhood apraxia of speech and phonological disorders. MAIN CONTRIBUTION This paper presents an overview of an approach to conceptualisation of speech sound disorders that is grounded in current models of speech production and emphasises consideration of underlying processes. The paper also sketches a research agenda for the development of valid, reliable and clinically feasible assessment protocols for children with speech sound disorders. CONCLUSION The process-oriented approach outlined here is in the early stages of development but holds promise for developing a more detailed and comprehensive understanding of, and assessment protocols for speech sound disorders that go beyond broad diagnostic labels based on error analysis. Directions for future research are discussed. WHAT THIS PAPER ADDS What is already known on the subject Speech sound disorders (SSD) are heterogeneous, and there is agreement that some children have a phonological impairment (phonological disorders, PD) whereas others have an impairment of speech motor planning (childhood apraxia of speech, CAS). There is also recognition that speech production involves multiple processes, and several approaches to the assessment and diagnosis of SSD have been proposed. What this paper adds to existing knowledge This paper provides a more detailed conceptualisation of potential impairments in children with SSD that is grounded in current models of speech production and encourages greater consideration of underlying processes. The paper illustrates this approach and provides guidance for further development. One consequence of this perspective is the notion that broad diagnostic category labels (PD, CAS) may each comprise different subtypes or profiles depending on the processes that are affected. What are the potential or actual clinical implications of this work? Although the approach is in the early stages of development and no comprehensive validated set of tasks and measures is available to assess all processes, clinicians may find the conceptualisation of different underlying processes and the notion of potential subtypes within PD and CAS informative when evaluating SSD. In addition, this perspective discourages either/or thinking (PD or CAS) and instead encourages consideration of the possibility that children may have different combinations of impairments at different processing stages.
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Affiliation(s)
- Meghan Littlejohn
- Department of Communication Sciences and Disorders, Temple University, Philadelphia, Pennsylvania, USA
| | - Edwin Maas
- Department of Communication Sciences and Disorders, Temple University, Philadelphia, Pennsylvania, USA
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McCall JD, DeMarco AT, Mandal AS, Fama ME, van der Stelt CM, Lacey EH, Laks AB, Snider SF, Friedman RB, Turkeltaub PE. Listening to Yourself and Watching Your Tongue: Distinct Abilities and Brain Regions for Monitoring Semantic and Phonological Speech Errors. J Cogn Neurosci 2023; 35:1169-1194. [PMID: 37159232 PMCID: PMC10273223 DOI: 10.1162/jocn_a_02000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Despite the many mistakes we make while speaking, people can effectively communicate because we monitor our speech errors. However, the cognitive abilities and brain structures that support speech error monitoring are unclear. There may be different abilities and brain regions that support monitoring phonological speech errors versus monitoring semantic speech errors. We investigated speech, language, and cognitive control abilities that relate to detecting phonological and semantic speech errors in 41 individuals with aphasia who underwent detailed cognitive testing. Then, we used support vector regression lesion symptom mapping to identify brain regions supporting detection of phonological versus semantic errors in a group of 76 individuals with aphasia. The results revealed that motor speech deficits as well as lesions to the ventral motor cortex were related to reduced detection of phonological errors relative to semantic errors. Detection of semantic errors selectively related to auditory word comprehension deficits. Across all error types, poor cognitive control related to reduced detection. We conclude that monitoring of phonological and semantic errors relies on distinct cognitive abilities and brain regions. Furthermore, we identified cognitive control as a shared cognitive basis for monitoring all types of speech errors. These findings refine and expand our understanding of the neurocognitive basis of speech error monitoring.
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Affiliation(s)
- Joshua D McCall
- Center for Brain Plasticity and Recovery, Neurology Department, Georgetown University Medical Center, Washington, DC
| | - Andrew T DeMarco
- Center for Brain Plasticity and Recovery, Neurology Department, Georgetown University Medical Center, Washington, DC
- Rehabilitation Medicine Department, Georgetown University Medical Center, Washington, DC
| | - Ayan S Mandal
- Center for Brain Plasticity and Recovery, Neurology Department, Georgetown University Medical Center, Washington, DC
- Brain-Gene Development Lab, Psychiatry Department, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Mackenzie E Fama
- Center for Brain Plasticity and Recovery, Neurology Department, Georgetown University Medical Center, Washington, DC
- Department of Speech, Language, and Hearing Sciences, The George Washington University, Washington, DC
| | - Candace M van der Stelt
- Center for Brain Plasticity and Recovery, Neurology Department, Georgetown University Medical Center, Washington, DC
- Research Division, MedStar National Rehabilitation Hospital, Washington, DC
| | - Elizabeth H Lacey
- Center for Brain Plasticity and Recovery, Neurology Department, Georgetown University Medical Center, Washington, DC
- Research Division, MedStar National Rehabilitation Hospital, Washington, DC
| | - Alycia B Laks
- Center for Brain Plasticity and Recovery, Neurology Department, Georgetown University Medical Center, Washington, DC
| | - Sarah F Snider
- Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center, Washington, DC
| | - Rhonda B Friedman
- Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center, Washington, DC
| | - Peter E Turkeltaub
- Center for Brain Plasticity and Recovery, Neurology Department, Georgetown University Medical Center, Washington, DC
- Rehabilitation Medicine Department, Georgetown University Medical Center, Washington, DC
- Research Division, MedStar National Rehabilitation Hospital, Washington, DC
- Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center, Washington, DC
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Cuadros J, Z-Rivera L, Castro C, Whitaker G, Otero M, Weinstein A, Martínez-Montes E, Prado P, Zañartu M. DIVA Meets EEG: Model Validation Using Formant-Shift Reflex. APPLIED SCIENCES (BASEL, SWITZERLAND) 2023; 13:7512. [PMID: 38435340 PMCID: PMC10906992 DOI: 10.3390/app13137512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
The neurocomputational model 'Directions into Velocities of Articulators' (DIVA) was developed to account for various aspects of normal and disordered speech production and acquisition. The neural substrates of DIVA were established through functional magnetic resonance imaging (fMRI), providing physiological validation of the model. This study introduces DIVA_EEG an extension of DIVA that utilizes electroencephalography (EEG) to leverage the high temporal resolution and broad availability of EEG over fMRI. For the development of DIVA_EEG, EEG-like signals were derived from original equations describing the activity of the different DIVA maps. Synthetic EEG associated with the utterance of syllables was generated when both unperturbed and perturbed auditory feedback (first formant perturbations) were simulated. The cortical activation maps derived from synthetic EEG closely resembled those of the original DIVA model. To validate DIVA_EEG, the EEG of individuals with typical voices (N = 30) was acquired during an altered auditory feedback paradigm. The resulting empirical brain activity maps significantly overlapped with those predicted by DIVA_EEG. In conjunction with other recent model extensions, DIVA_EEG lays the foundations for constructing a complete neurocomputational framework to tackle vocal and speech disorders, which can guide model-driven personalized interventions.
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Affiliation(s)
- Jhosmary Cuadros
- Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
- Grupo de Bioingeniería, Decanato de Investigación, Universidad Nacional Experimental del Táchira, San Cristóbal 5001, Venezuela
| | - Lucía Z-Rivera
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
- Escuela de Ingeniería Civil Biomédica, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso 2350026, Chile
| | - Christian Castro
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
- Escuela de Ingeniería Civil Biomédica, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso 2350026, Chile
| | - Grace Whitaker
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
| | - Mónica Otero
- Facultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Santiago 8420524, Chile
- Centro Basal Ciencia & Vida, Universidad San Sebastián, Santiago 8580000, Chile
| | - Alejandro Weinstein
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
- Escuela de Ingeniería Civil Biomédica, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso 2350026, Chile
| | | | - Pavel Prado
- Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Santiago 7510602, Chile
| | - Matías Zañartu
- Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
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Berglund-Barraza A, Carey S, Hart J, Vanneste S, Evans JL. Modulating Phonological Working Memory With Anodal High-Definition Transcranial Direct Current Stimulation to the Anterior Portion of the Supplementary Motor Area. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:2079-2094. [PMID: 37227790 PMCID: PMC10465152 DOI: 10.1044/2023_jslhr-21-00098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 07/27/2021] [Accepted: 02/28/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Phonological working memory is key to vocabulary acquisition, spoken word recognition, real-time language processing, and reading. Transcranial direct current stimulation, when coupled with behavioral training, has been shown to facilitate speech motor output processes, a key component of nonword repetition, the primary task used to assess phonological working memory. In this study, we examined the efficacy of combining overt nonword repetition training with anodal high-definition transcranial direct current stimulation (HD tDCS) to the presupplementary motor area (preSMA) to enhance nonword repetition. OBJECTIVE This study investigated whether 20 min of active or sham anodal HD tDCS targeting preSMA concurrently with a nonword repetition task differentially impacted nonword repetition ability. METHOD Twenty-eight neurotypical college-age adults (18-25 years; 19 females, eight males, one nonbinary) completed a 20-min nonword repetition training task where they received either active or sham 1-mA anodal HD tDCS to the preSMA while overtly repeating a list of four-, five-, six-, and seven-syllable English-like nonwords presented in a random order. Whole nonword accuracy and error patterns (phoneme and syllable) were measured prior to and following training. RESULTS Following training, both groups showed a decrease in nonword repetition accuracy. The drop in performance was significantly greater for the active stimulation group compared to the sham stimulation group at the four-syllable nonword length. DISCUSSION The findings suggest that targeting the speech motor component of nonword repetition through overt training and HD tDCS to the preSMA does not enhance phonological working memory ability.
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Affiliation(s)
- Amy Berglund-Barraza
- Child Language and Cognitive Processes Laboratory, The University of Texas at Dallas
| | - Sarah Carey
- Child Language and Cognitive Processes Laboratory, The University of Texas at Dallas
| | - John Hart
- Cognitive Neuroscience Laboratory of Memory and Language, The University of Texas at Dallas
| | - Sven Vanneste
- Lab for Clinical & Integrative Neuroscience, Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland
| | - Julia L. Evans
- Child Language and Cognitive Processes Laboratory, The University of Texas at Dallas
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Lancheros M, Friedrichs D, Laganaro M. What Do Differences between Alternating and Sequential Diadochokinetic Tasks Tell Us about the Development of Oromotor Skills? An Insight from Childhood to Adulthood. Brain Sci 2023; 13:brainsci13040655. [PMID: 37190620 DOI: 10.3390/brainsci13040655] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 05/17/2023] Open
Abstract
Oral diadochokinetic (DDK) tasks are common research and clinical tools used to test oromotor skills across different age groups. They include alternating motion rate (AMR) and sequential motion rate (SMR) tasks. AMR tasks involve repeating a single syllable, whereas SMR tasks involve repeating varying syllables. DDK performance is mostly discussed regarding the increasing rates of AMR and SMR tasks from childhood to adulthood, although less attention is given to the performance differences between SMR and AMR tasks across age groups. Here, AMR and SMR syllabic rates were contrasted in three populations: 7-9-year-old children, 14-16-year-old adolescents and 20-30-year-old adults. The results revealed similar syllabic rates for the two DDK tasks in children, whereas adolescents and adults achieved faster SMR rates. Acoustic analyses showed similarities in prosodic features between AMR and SMR sequences and in anticipatory coarticulation in the SMR sequences in all age groups. However, a lower degree of coarticulation was observed in children relative to adults. Adolescents, on the contrary, showed an adult-like pattern. These findings suggest that SMR tasks may be more sensitive to age-related changes in oromotor skills than AMR tasks and that greater gestural overlap across varying syllables may be a factor in achieving higher rates in SMR tasks.
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Affiliation(s)
- Mónica Lancheros
- Faculty of Psychology and Educational Science, University of Geneva, 1205 Geneva, Switzerland
| | - Daniel Friedrichs
- Department of Computational Linguistics, University of Zurich, 8006 Zurich, Switzerland
| | - Marina Laganaro
- Faculty of Psychology and Educational Science, University of Geneva, 1205 Geneva, Switzerland
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Shekari E, Nozari N. A narrative review of the anatomy and function of the white matter tracts in language production and comprehension. Front Hum Neurosci 2023; 17:1139292. [PMID: 37051488 PMCID: PMC10083342 DOI: 10.3389/fnhum.2023.1139292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 02/24/2023] [Indexed: 03/28/2023] Open
Abstract
Much is known about the role of cortical areas in language processing. The shift towards network approaches in recent years has highlighted the importance of uncovering the role of white matter in connecting these areas. However, despite a large body of research, many of these tracts’ functions are not well-understood. We present a comprehensive review of the empirical evidence on the role of eight major tracts that are hypothesized to be involved in language processing (inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, uncinate fasciculus, extreme capsule, middle longitudinal fasciculus, superior longitudinal fasciculus, arcuate fasciculus, and frontal aslant tract). For each tract, we hypothesize its role based on the function of the cortical regions it connects. We then evaluate these hypotheses with data from three sources: studies in neurotypical individuals, neuropsychological data, and intraoperative stimulation studies. Finally, we summarize the conclusions supported by the data and highlight the areas needing further investigation.
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Affiliation(s)
- Ehsan Shekari
- Department of Neuroscience, Iran University of Medical Sciences, Tehran, Iran
| | - Nazbanou Nozari
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States
- Center for the Neural Basis of Cognition (CNBC), Pittsburgh, PA, United States
- *Correspondence: Nazbanou Nozari
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30
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Neef NE, Angstadt M, Koenraads SPC, Chang SE. Dissecting structural connectivity of the left and right inferior frontal cortex in children who stutter. Cereb Cortex 2023; 33:4085-4100. [PMID: 36057839 PMCID: PMC10068293 DOI: 10.1093/cercor/bhac328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 11/12/2022] Open
Abstract
Inferior frontal cortex pars opercularis (IFCop) features a distinct cerebral dominance and vast functional heterogeneity. Left and right IFCop are implicated in developmental stuttering. Weak left IFCop connections and divergent connectivity of hyperactive right IFCop regions have been related to impeded speech. Here, we reanalyzed diffusion magnetic resonance imaging data from 83 children (41 stuttering). We generated connection probability maps of functionally segregated area 44 parcels and calculated hemisphere-wise analyses of variance. Children who stutter showed reduced connectivity of executive, rostral-motor, and caudal-motor corticostriatal projections from the left IFCop. We discuss this finding in the context of tracing studies from the macaque area 44, which leads to the need to reconsider current models of speech motor control. Unlike the left, the right IFCop revealed increased connectivity of the inferior posterior ventral parcel and decreased connectivity of the posterior dorsal parcel with the anterior insula, particularly in stuttering boys. This divergent connectivity pattern in young children adds to the debate on potential core deficits in stuttering and challenges the theory that right hemisphere differences might exclusively indicate compensatory changes that evolve from lifelong exposure. Instead, early right prefrontal connectivity differences may reflect additional brain signatures of aberrant cognition-emotion-action influencing speech motor control.
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Affiliation(s)
- Nicole E Neef
- Institute for Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, Germany
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48105, USA
| | - Simone P C Koenraads
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, Wytemaweg 80, 3015 CNRotterdam, the Netherlands
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48105, USA
- Department of Communicative Sciences and Disorders, Michigan State University, 1026 Red Cedar Road, East Lansing, MI 48824, USA
- Cognitive Imaging Research Center, Department of Radiology, Michigan State University, 846 Service Road, East Lansing, MI 48824, USA
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Nip ISB, Burke MM, Kim Y. The Effects of Deep Brain Stimulation on Speech Motor Control in People With Parkinson's Disease. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:804-819. [PMID: 36780302 DOI: 10.1044/2022_jslhr-22-00443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
PURPOSE Despite the overall benefits of deep brain stimulation (DBS) in Parkinson's disease (PD), its effects on speech production have been mixed when examined using auditory-perceptual and acoustic measures. This study investigated the effects of DBS on the lip and jaw kinematics during sentence production in individuals with dysarthria secondary to PD. METHOD Twenty-seven participants from three groups were included in the study: (a) individuals with PD and without DBS (PD group), (b) individuals with PD and with DBS (PD-DBS group), and (c) neurologically healthy control speakers (HC group). Lip and jaw movements during speech were recorded using optical motion capture and analyzed for path distance, speed, duration, articulatory stability, and interarticulator coordination. RESULTS The PD-DBS group showed (a) increased path distance compared with the PD and HC groups and (b) increased speed compared with the PD group but not the HC group. Both PD and PD-DBS groups exhibited lengthened sentence duration compared with the HC group. Articulatory stability was greater for the two PD groups, PD and PD-DBS, compared with the HC group. Spatial, but not temporal, coordination was lower for the PD group than for the other two groups. The only kinematic changes between the DBS on and off conditions within the PD-DBS group were increases in spatial coordination. CONCLUSIONS These data suggest that DBS primarily affects the amplitude scaling of articulatory movements, but not the temporal scaling, in individuals with PD. The findings are discussed with respect to the DBS-induced neural changes and their effects on speech motor control in PD.
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Affiliation(s)
- Ignatius S B Nip
- School of Speech, Language, and Hearing Sciences, San Diego State University, CA
| | - Mathes M Burke
- School of Speech, Language, and Hearing Sciences, San Diego State University, CA
| | - Yunjung Kim
- School of Communication Science and Disorders, Florida State University, Tallahassee
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Höbler F, Bitan T, Tremblay L, De Nil L. Explicit benefits: Motor sequence acquisition and short-term retention in adults who do and do not stutter. JOURNAL OF FLUENCY DISORDERS 2023; 75:105959. [PMID: 36736073 DOI: 10.1016/j.jfludis.2023.105959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 01/13/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Motor sequencing skills have been found to distinguish individuals who experience developmental stuttering from those who do not stutter, with these differences extending to non-verbal sequencing behaviour. Previous research has focused on measures of reaction time and practice under externally cued conditions to decipher the motor learning abilities of persons who stutter. Without the confounds of extraneous demands and sensorimotor processing, we investigated motor sequence learning under conditions of explicit awareness and focused practice among adults with persistent development stuttering. Across two consecutive practice sessions, 18 adults who stutter (AWS) and 18 adults who do not stutter (ANS) performed the finger-to-thumb opposition sequencing (FOS) task. Both groups demonstrated significant within-session performance improvements, as evidenced by fast on-line learning of finger sequences on day one. Additionally, neither participant group showed deterioration of their learning gains the following day, indicating a relative stabilization of finger sequencing performance during the off-line period. These findings suggest that under explicit and focused conditions, early motor learning gains and their short-term retention do not differ between AWS and ANS. Additional factors influencing motor sequencing performance, such as task complexity and saturation of learning, are also considered. Further research into explicit motor learning and its generalization following extended practice and follow-up in persons who stutter is warranted. The potential benefits of motor practice generalizability among individuals who stutter and its relevance to supporting treatment outcomes are suggested as future areas of investigation.
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Affiliation(s)
- Fiona Höbler
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada; Department of Speech-Language Pathology, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada.
| | - Tali Bitan
- Department of Speech-Language Pathology, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada; Department of Psychology and IIPDM, University of Haifa, Haifa 3498838, Israel
| | - Luc Tremblay
- Faculty of Kinesiology and Physical Education, University of Toronto, Clara Benson Building, 320 Huron St., Room 231, Toronto, ON M5S 3J7, Canada; KITE Research Institute, Toronto Rehabilitation Institute - University Health Network, 550 University Avenue, Toronto, ON M5G 2A2, Canada
| | - Luc De Nil
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada; Department of Speech-Language Pathology, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada
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Gastaldon S, Busan P, Arcara G, Peressotti F. Inefficient speech-motor control affects predictive speech comprehension: atypical electrophysiological correlates in stuttering. Cereb Cortex 2023:6995383. [PMID: 36682885 DOI: 10.1093/cercor/bhad004] [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: 12/20/2021] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/24/2023] Open
Abstract
Listeners predict upcoming information during language comprehension. However, how this ability is implemented is still largely unknown. Here, we tested the hypothesis proposing that language production mechanisms have a role in prediction. We studied 2 electroencephalographic correlates of predictability during speech comprehension-pre-target alpha-beta (8-30 Hz) power decrease and the post-target N400 event-related potential effect-in a population with impaired speech-motor control, i.e. adults who stutter (AWS), compared to typically fluent adults (TFA). Participants listened to sentences that could either constrain towards a target word or not, modulating its predictability. As a complementary task, participants also performed context-driven word production. Compared to TFA, AWS not only displayed atypical neural responses in production, but, critically, they showed a different pattern also in comprehension. Specifically, while TFA showed the expected pre-target power decrease, AWS showed a power increase in frontal regions, associated with speech-motor control. In addition, the post-target N400 effect was reduced for AWS with respect to TFA. Finally, we found that production and comprehension power changes were positively correlated in TFA, but not in AWS. Overall, the results support the idea that processes and neural structures prominently devoted to speech planning also support prediction during speech comprehension.
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Affiliation(s)
- Simone Gastaldon
- Dipartimento di Psicologia dello Sviluppo e della Socializzazione (DPSS), University of Padova, Via Venezia 8, Padova (PD) 35131, Italy.,Padova Neuroscience Center (PNC), University of Padova, Via Giuseppe Orus 2/B, Padova (PD) 35131, Italy
| | - Pierpaolo Busan
- IRCCS Ospedale San Camillo, Via Alberoni 70, Lido (VE) 30126, Italy
| | - Giorgio Arcara
- IRCCS Ospedale San Camillo, Via Alberoni 70, Lido (VE) 30126, Italy
| | - Francesca Peressotti
- Dipartimento di Psicologia dello Sviluppo e della Socializzazione (DPSS), University of Padova, Via Venezia 8, Padova (PD) 35131, Italy.,Padova Neuroscience Center (PNC), University of Padova, Via Giuseppe Orus 2/B, Padova (PD) 35131, Italy.,Centro Interdipartimentale di Ricerca "I-APPROVE-International Auditory Processing Project in Venice", University of Padova, Via Belzoni 160, Padova (PD) 35121, Italy
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Kim Y, Sidtis D, Sidtis JJ. Singing and Speaking Ability in Parkinson's Disease and Spinocerebellar Ataxia. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:126-153. [PMID: 36608288 PMCID: PMC10023174 DOI: 10.1044/2022_jslhr-22-00274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 08/27/2022] [Accepted: 09/30/2022] [Indexed: 06/17/2023]
Abstract
PURPOSE This study examined spontaneous, spoken-to-a-model, and two sung modes in speakers with Parkinson's disease (PD), speakers with cerebellar disease (CD), and healthy controls. Vocal performance was measured by intelligibility scores and listeners' perceptual ratings. METHOD Participants included speakers with hypokinetic dysarthria secondary to PD, those with ataxic dysarthria secondary to CD, and healthy speakers. Participants produced utterances in four vocal modes: spontaneous speech, spoken-to-a-model, sung-to-a-model, and spontaneous singing. For spoken-to-a-model and sung-to-a-model modes, written material was provided the model. For spontaneous singing, participants sang songs that they endorsed as familiar. DEPENDENT VARIABLES In Experiment I, listeners orthographically transcribed the audio samples of the first three vocal modes. In Experiment IIa, raters evaluated the accuracy of the pitch and rhythm of the spontaneous singing of familiar songs. Finally, familiar songs and sung-to-a-model utterances were rated on a competency scale by a second group of raters (Experiment IIb). RESULTS Results showed increases in intelligibility during the spoken-to-a-model mode compared with the spontaneous mode in both PD and CD groups. Singing enhanced the vocal output of speakers with PD more than in speakers with CD, as measured by percent intelligibility. PD participants' pitch and rhythm accuracy and competency in singing familiar songs was rated more favorably than those produced by CD participants. CONCLUSIONS The findings reveal a vocal task effect for spoken utterances in both groups. Sung exemplars, more impaired in CD, suggest a significant involvement of the cerebellum in singing. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.21809544.
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Affiliation(s)
- Yoonji Kim
- Department of Speech, Language and Hearing Science, Temple University, Philadelphia, PA
- Geriatrics Division, The Nathan Kline Institute for Psychiatric Research at Rockland Psychiatric Center, Orangeburg, NY
| | - Diana Sidtis
- Geriatrics Division, The Nathan Kline Institute for Psychiatric Research at Rockland Psychiatric Center, Orangeburg, NY
- Department of Communicative Sciences and Disorders, New York University, NY
| | - John J. Sidtis
- Geriatrics Division, The Nathan Kline Institute for Psychiatric Research at Rockland Psychiatric Center, Orangeburg, NY
- Department of Psychiatry, New York University Langone School of Medicine, NY
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Garnett EO, McAuley JD, Wieland EA, Chow HM, Zhu DC, Dilley LC, Chang SE. Auditory rhythm discrimination in adults who stutter: An fMRI study. BRAIN AND LANGUAGE 2023; 236:105219. [PMID: 36577315 DOI: 10.1016/j.bandl.2022.105219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 11/09/2022] [Accepted: 12/16/2022] [Indexed: 06/17/2023]
Abstract
Rhythm perception deficits have been linked to neurodevelopmental disorders affecting speech and language. Children who stutter have shown poorer rhythm discrimination and attenuated functional connectivity in rhythm-related brain areas, which may negatively impact timing control required for speech. It is unclear whether adults who stutter (AWS), who are likely to have acquired compensatory adaptations in response to rhythm processing/timing deficits, are similarly affected. We compared rhythm discrimination in AWS and controls (total n = 36) during fMRI in two matched conditions: simple rhythms that consistently reinforced a periodic beat, and complex rhythms that did not (requiring greater reliance on internal timing). Consistent with an internal beat deficit hypothesis, behavioral results showed poorer complex rhythm discrimination for AWS than controls. In AWS, greater stuttering severity was associated with poorer rhythm discrimination. AWS showed increased activity within beat-based timing regions and increased functional connectivity between putamen and cerebellum (supporting interval-based timing) for simple rhythms.
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Affiliation(s)
- Emily O Garnett
- University of Michigan, Rachel Upjohn Building, 4250 Plymouth Rd., Ann Arbor, MI 48109, USA.
| | - J Devin McAuley
- Michigan State University, 619 Red Cedar Rd, East Lansing, MI 48864, USA
| | | | - Ho Ming Chow
- University of Michigan, Rachel Upjohn Building, 4250 Plymouth Rd., Ann Arbor, MI 48109, USA; University of Delaware, Tower at STAR, 100 Discovery Blvd, Newark, DE 19713, USA
| | - David C Zhu
- Michigan State University, Radiology Building, 846 Service Road, East Lansing, MI 48824, USA
| | - Laura C Dilley
- Michigan State University, 619 Red Cedar Rd, East Lansing, MI 48864, USA
| | - Soo-Eun Chang
- University of Michigan, Rachel Upjohn Building, 4250 Plymouth Rd., Ann Arbor, MI 48109, USA
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Hybbinette H, Östberg P, Schalling E, Deboussard C, Plantin J, Borg J, Lindberg PG. Longitudinal changes in functional connectivity in speech motor networks in apraxia of speech after stroke. Front Neurol 2022; 13:1013652. [DOI: 10.3389/fneur.2022.1013652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 11/10/2022] [Indexed: 12/02/2022] Open
Abstract
ObjectiveThe cerebral substrates of apraxia of speech (AOS) recovery remain unclear. Resting state fMRI post stroke can inform on altered functional connectivity (FC) within cortical language networks. Some initial studies report reduced FC between bilateral premotor cortices in patients with AOS, with lowest FC in patients with the most severe AOS. However, longitudinal FC studies in stroke are lacking. The aims of the present longitudinal study in early post stroke patients with AOS were (i) to compare connectivity strength in AOS patients to that in left hemisphere (LH) lesioned stroke patients without a speech-language impairment, (ii) to investigate the relation between FC and severity of AOS, aphasia and non-verbal oral apraxia (NVOA) and (iii) to investigate longitudinal changes in FC, from the subacute phase to the chronic phase to identify predictors of AOS recovery.MethodsFunctional connectivity measures and comprehensive speech-language assessments were obtained at 4 weeks and 6 months after stroke in nine patients with AOS after a LH stroke and in six LH lesioned stroke patients without speech-language impairment. Functional connectivity was investigated in a network for speech production: inferior frontal gyrus (IFG), anterior insula (aINS), and ventral premotor cortex (vPMC), all bilaterally to investigate signs of adaptive or maladaptive changes in both hemispheres.ResultsInterhemispheric vPMC connectivity was significantly reduced in patients with AOS compared to LH lesioned patients without speech-language impairment. At 6 months, the AOS severity was associated with interhemispheric aINS and vPMC connectivity. Longitudinal changes in FC were found in individuals, whereas no significant longitudinal change in FC was found at the group level. Degree of longitudinal AOS recovery was strongly associated with interhemispheric IFG connectivity strength at 4 weeks.ConclusionEarly interhemispheric IFG connectivity may be a strong predictor of AOS recovery. The results support the importance of interhemispheric vPMC connection in speech motor planning and severity of AOS and suggest that also bilateral aINS connectivity may have an impact on AOS severity. These findings need to be validated in larger cohorts.
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Spencer C, Davison KE, Boucher AR, Zuk J. Speech Perception Variability in Childhood Apraxia of Speech: Implications for Assessment and Intervention. Lang Speech Hear Serv Sch 2022; 53:969-984. [PMID: 36054844 PMCID: PMC9911093 DOI: 10.1044/2022_lshss-21-00170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
PURPOSE Beyond hallmark production deficits characterizing childhood apraxia of speech (CAS), largely attributed to disruption(s) in speech motor planning, children with CAS often present with co-occurring speech perception and language difficulties. Thus, careful consideration of the potential for speech perception difficulties to have cascading downstream effects on intervention responsiveness and real-life functioning for some children with CAS is highly important. The purpose of this tutorial was to consider the impact of speech perception abilities in children with CAS, which carries implications for caring for the needs of the whole child. METHOD This tutorial summarizes the current literature on speech perception and how it relates to speech production, language, and reading abilities for children with CAS. We include case illustrations that are adapted from real clinical scenarios illustrating how speech perception difficulties may impact some children with CAS and provide recommendations for incorporating speech perception into assessment and intervention practices. RESULTS Although speech perception difficulties do not seem to be a core deficit of CAS, they are strongly linked to language difficulties, which are highly prevalent among children with CAS. Speech perception and language difficulties are also associated with reading difficulties and risk for lower academic achievement. CONCLUSIONS Children with CAS who have co-occurring language difficulties likely also demonstrate speech perception deficits, which puts them at heightened risk for reading difficulties and struggles with academic achievement. Comprehensive assessment of children with CAS should address speech perception and production, language, and reading abilities, which carries important implications for multifaceted approaches to intervention.
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Affiliation(s)
- Caroline Spencer
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
| | - Kelsey E. Davison
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
| | - Alyssa R. Boucher
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
| | - Jennifer Zuk
- Department of Speech, Language, and Hearing Sciences, Boston University, MA
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G D, B H S, Gajbe U, Singh BR, Sawal A, Balwir T. The Role of Basal Ganglia and Its Neuronal Connections in the Development of Stuttering: A Review Article. Cureus 2022; 14:e28653. [PMID: 36196326 PMCID: PMC9525748 DOI: 10.7759/cureus.28653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 08/31/2022] [Indexed: 11/05/2022] Open
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Reinvestigating the Neural Bases Involved in Speech Production of Stutterers: An ALE Meta-Analysis. Brain Sci 2022; 12:brainsci12081030. [PMID: 36009093 PMCID: PMC9406059 DOI: 10.3390/brainsci12081030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/25/2022] [Accepted: 08/02/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Stuttering is characterized by dysfluency and difficulty in speech production. Previous research has found abnormalities in the neural function of various brain areas during speech production tasks. However, the cognitive neural mechanism of stuttering has still not been fully determined. Method: Activation likelihood estimation analysis was performed to provide neural imaging evidence on neural bases by reanalyzing published studies. Results: Our analysis revealed overactivation in the bilateral posterior superior temporal gyrus, inferior frontal gyrus, medial frontal gyrus, precentral gyrus, postcentral gyrus, basal ganglia, and cerebellum, and deactivation in the anterior superior temporal gyrus and middle temporal gyrus among the stutterers. The overactivated regions might indicate a greater demand in feedforward planning in speech production, while the deactivated regions might indicate dysfunction in the auditory feedback system among stutterers. Conclusions: Our findings provide updated and direct evidence on the multi-level impairment (feedforward and feedback systems) of stutterers during speech production and show that the corresponding neural bases were differentiated.
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Differences in implicit motor learning between adults who do and do not stutter. Neuropsychologia 2022; 174:108342. [PMID: 35931135 DOI: 10.1016/j.neuropsychologia.2022.108342] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 07/25/2022] [Accepted: 07/28/2022] [Indexed: 11/20/2022]
Abstract
Implicit learning allows us to acquire complex motor skills through repeated exposure to sensory cues and repetition of motor behaviours, without awareness or effort. Implicit learning is also critical to the incremental fine-tuning of the perceptual-motor system. To understand how implicit learning and associated domain-general learning processes may contribute to motor learning differences in people who stutter, we investigated implicit finger-sequencing skills in adults who do (AWS) and do not stutter (ANS) on an Alternating Serial Reaction Time task. Our results demonstrated that, while all participants showed evidence of significant sequence-specific learning in their speed of performance, male AWS were slower and made fewer sequence-specific learning gains than their ANS counterparts. Although there were no learning gains evident in accuracy of performance, AWS performed the implicit learning task more accurately than ANS, overall. These findings may have implications for sex-based differences in the experience of developmental stuttering, for the successful acquisition of complex motor skills during development by individuals who stutter, and for the updating and automatization of speech motor plans during the therapeutic process.
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Tilsen S. An informal logic of feedback-based temporal control. Front Hum Neurosci 2022; 16:851991. [PMID: 35967002 PMCID: PMC9372483 DOI: 10.3389/fnhum.2022.851991] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
A conceptual framework and mathematical model of the control of articulatory timing are presented, in which feedback systems play a fundamental role. The model applies both to relatively small timescales, such as within syllables, and to relatively large timescales, such as multi-phrase utterances. A crucial distinction is drawn between internal/predictive feedback and external/sensory feedback. It is argued that speakers modulate attention to feedback to speed up and slow down speech. A number of theoretical implications of the framework are discussed, including consequences for the understanding of syllable structure and prosodic phrase organization.
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Gerwin KL, Walsh B, Christ SL. Error Characteristics Lend Specificity to Nonword Repetition Performance in Children Who Stutter With and Without Concomitant Disorders. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:2571-2585. [PMID: 35858262 PMCID: PMC9584125 DOI: 10.1044/2022_jslhr-21-00654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/07/2022] [Accepted: 04/24/2022] [Indexed: 06/15/2023]
Abstract
PURPOSE In our earlier study, we found that overall accuracy on nonword repetition (NWR) lacked the specificity to differentiate among groups of children who stutter (CWS) with and without concomitant speech sound and/or language disorders and children who do not stutter (CWNS). The aim of this study was to determine whether NWR error characteristics distinguish these groups of children with different speech sound production and language abilities yielding insight into the deficits underlying poorer performance. METHOD Participants were 141 children (88 CWS, 53 CWNS). CWS were divided into subgroups based on the presence or absence of concomitant speech sound and language disorders. Children completed an NWR task composed of one- to four-syllable nonwords. Error types included omissions, substitutions, and migrations. Error location was documented across the syllables of the longest, four-syllable nonwords and within each syllable (onset, nucleus, and coda) for all nonwords. RESULTS We found that error patterns characterized groups' NWR performance. Specifically, CWS groups made more errors on syllable onsets, more errors on the first and fourth syllable of the four-syllable nonwords, and more substitution errors than CWNS. CWS with concomitant speech sound and/or language disorders made more omission errors than CWNS and CWS with typical speech sound and language abilities. CWS with both a speech sound and language disorder made more migration errors than all other groups. CONCLUSIONS Using a data-driven framework derived from prior empirical investigations of NWR errors, this study demonstrated that error characteristics enhance the specificity of NWR by distinguishing groups of CWS with and without concomitant speech sound and language deficits. These error patterns also provide a window into the processes underlying NWR performance in CWS.
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Affiliation(s)
- Katelyn L. Gerwin
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing
| | - Bridget Walsh
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing
| | - Sharon L. Christ
- Department of Human Development and Family Studies, Purdue University, West Lafayette, IN
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Shao J, Bakhtiar M, Zhang C. Impaired Categorical Perception of Speech Sounds Under the Backward Masking Condition in Adults Who Stutter. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:2554-2570. [PMID: 35858255 DOI: 10.1044/2022_jslhr-21-00276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
PURPOSE Evidence increasingly indicates that people with developmental stuttering have auditory perception deficits. Our previous research has indicated similar but slower performance in categorical perception of the speech sounds under the quiet condition in children who stutter and adults who stutter (AWS) compared with their typically fluent counterparts. We hypothesized that the quiet condition may not be sufficiently sensitive to reveal subtle perceptual deficiencies in people who stutter. This study examined this hypothesis by testing the categorical perception of speech and nonspeech sounds under backward masking condition (i.e., a noise was presented immediately after the target stimuli). METHOD Fifteen Cantonese-speaking AWS and 15 adults who do not stutter (AWNS) were tested on the categorical perception of four stimulus continua, namely, consonant varying in voice onset time (VOT), vowel, lexical tone, and nonspeech, under the backward masking condition using identification and discrimination tasks. RESULTS AWS demonstrated a broader boundary width than AWNS in the identification task. AWS also exhibited a worse performance than AWNS in the discrimination of between-category stimuli but a comparable performance in the discrimination of within-category stimuli, indicating reduced sensitivity to sounds that belonged to different phonemic categories among AWS. Moreover, AWS showed similar patterns of impaired categorical perception across the four stimulus types, although the boundary location on the VOT continuum occurred at an earlier point in AWS than in AWNS. CONCLUSIONS The findings provide robust evidence that AWS exhibit impaired categorical perception of speech and nonspeech sounds under the backward masking condition. Temporal processing (i.e., VOT manipulation), frequency/spectral/formant processing (i.e., lexical tone or vowel manipulations), and nonlinguistic pitch processing were all found to be impaired in AWS. Altogether, the findings support the hypothesis that AWS might be less efficient in accessing the phonemic representations when exposed to a demanding listening condition. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.20249718.
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Affiliation(s)
- Jing Shao
- Department of English Language and Literature, Hong Kong Baptist University, Kowloon Tong
| | - Mehdi Bakhtiar
- Unit of Human Communication, Development, and Information Sciences, University of Hong Kong, Pokfulam
| | - Caicai Zhang
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hung Hom
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Castellucci GA, Guenther FH, Long MA. A Theoretical Framework for Human and Nonhuman Vocal Interaction. Annu Rev Neurosci 2022; 45:295-316. [PMID: 35316612 PMCID: PMC9909589 DOI: 10.1146/annurev-neuro-111020-094807] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Vocal communication is a critical feature of social interaction across species; however, the relation between such behavior in humans and nonhumans remains unclear. To enable comparative investigation of this topic, we review the literature pertinent to interactive language use and identify the superset of cognitive operations involved in generating communicative action. We posit these functions comprise three intersecting multistep pathways: (a) the Content Pathway, which selects the movements constituting a response; (b) the Timing Pathway, which temporally structures responses; and (c) the Affect Pathway, which modulates response parameters according to internal state. These processing streams form the basis of the Convergent Pathways for Interaction framework, which provides a conceptual model for investigating the cognitive and neural computations underlying vocal communication across species.
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Affiliation(s)
- Gregg A. Castellucci
- NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY, USA
| | - Frank H. Guenther
- Departments of Speech, Language & Hearing Sciences and Biomedical Engineering, Boston University, Boston, MA, USA
| | - Michael A. Long
- NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY, USA
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Valls Carbo A, Reid RI, Tosakulwong N, Weigand SD, Duffy JR, Clark HM, Utianski RL, Botha H, Machulda MM, Strand EA, Schwarz CG, Jack CR, Josephs KA, Whitwell JL. Tractography of supplementary motor area projections in progressive speech apraxia and aphasia. Neuroimage Clin 2022; 34:102999. [PMID: 35395498 PMCID: PMC8987652 DOI: 10.1016/j.nicl.2022.102999] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/11/2022] [Accepted: 03/28/2022] [Indexed: 12/02/2022]
Abstract
Degeneration of SMA white matter tracts occurs in progressive apraxia of speech. SMA commissural, putamen and precentral tracts were associated with speech apraxia. Agrammatism was associated with SMA-prefrontal and frontal aslant tracts. Tract profile analysis suggests different disease epicenters across syndromes.
Progressive apraxia of speech (AOS) is a motor speech disorder affecting the ability to produce phonetically or prosodically normal speech. Progressive AOS can present in isolation or co-occur with agrammatic aphasia and is associated with degeneration of the supplementary motor area. We aimed to assess breakdowns in structural connectivity from the supplementary motor area in patients with any combination of progressive AOS and/or agrammatic aphasia to determine which supplementary motor area tracts are specifically related to these clinical symptoms. Eighty-four patients with progressive AOS or progressive agrammatic aphasia were recruited by the Neurodegenerative Research Group and underwent neurological, speech/language, and neuropsychological testing, as well as 3 T diffusion magnetic resonance imaging. Of the 84 patients, 36 had apraxia of speech in isolation (primary progressive apraxia of speech, PPAOS), 40 had apraxia of speech and agrammatic aphasia (AOS-PAA), and eight had agrammatic aphasia in isolation (progressive agrammatic aphasia, PAA). Tractography was performed to identify 5 distinct tracts connecting to the supplementary motor area. Fractional anisotropy and mean diffusivity were assessed at 10 positions along the length of the tracts to construct tract profiles, and median profiles were calculated for each tract. In a case-control comparison, decreased fractional anisotropy and increased mean diffusivity were observed along the supplementary motor area commissural fibers in all three groups compared to controls. PPAOS also had abnormal diffusion in tracts from the supplementary motor area to the putamen, prefrontal cortex, Broca’s area (frontal aslant tract) and motor cortex, with greatest abnormalities observed closest to the supplementary motor area. The AOS-PAA group showed abnormalities in the same set of tracts, but with greater involvement of the supplementary motor area to prefrontal tract compared to PPAOS. PAA showed abnormalities in the left prefrontal and frontal aslant tracts compared to both other groups, with PAA showing greatest abnormalities furthest from the supplementary motor area. Severity of AOS correlated with tract metrics in the supplementary motor area commissural and motor cortex tracts. Severity of aphasia correlated with the frontal aslant and prefrontal tracts. These findings provide insight into how AOS and agrammatism are differentially related to disrupted diffusivity, with progressive AOS associated with abnormalities close to the supplementary motor area, and the frontal aslant and prefrontal tracts being particularly associated with agrammatic aphasia.
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Affiliation(s)
- Adrian Valls Carbo
- Department of Radiology, Mayo Clinic, Rochester, MN, United States; Department of Neurology, Hospital Clinico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Robert I Reid
- Department of Information Technology, Mayo Clinic, Rochester, MN, United States
| | - Nirubol Tosakulwong
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Stephen D Weigand
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Heather M Clark
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Rene L Utianski
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Edythe A Strand
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | | | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
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Kröger BJ, Bekolay T, Cao M. On the Emergence of Phonological Knowledge and on Motor Planning and Motor Programming in a Developmental Model of Speech Production. Front Hum Neurosci 2022; 16:844529. [PMID: 35634209 PMCID: PMC9133537 DOI: 10.3389/fnhum.2022.844529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 04/12/2022] [Indexed: 11/13/2022] Open
Abstract
A broad sketch for a model of speech production is outlined which describes developmental aspects of its cognitive-linguistic and sensorimotor components. A description of the emergence of phonological knowledge is a central point in our model sketch. It will be shown that the phonological form level emerges during speech acquisition and becomes an important representation at the interface between cognitive-linguistic and sensorimotor processes. Motor planning as well as motor programming are defined as separate processes in our model sketch and it will be shown that both processes revert to the phonological information. Two computational simulation experiments based on quantitative implementations (simulation models) are undertaken to show proof of principle of key ideas of the model sketch: (i) the emergence of phonological information over developmental stages, (ii) the adaptation process for generating new motor programs, and (iii) the importance of various forms of phonological representation in that process. Based on the ideas developed within our sketch of a production model and its quantitative spell-out within the simulation models, motor planning can be defined here as the process of identifying a succession of executable chunks from a currently activated phoneme sequence and of coding them as raw gesture scores. Motor programming can be defined as the process of building up the complete set of motor commands by specifying all gestures in detail (fully specified gesture score including temporal relations). This full specification of gesture scores is achieved in our model by adapting motor information from phonologically similar syllables (adapting approach) or by assembling motor programs from sub-syllabic units (assembling approach).
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Affiliation(s)
- Bernd J. Kröger
- Department of Phoniatrics, Pedaudiology, and Communication Disorders, Medical Faculty, RWTH Aachen University, Aachen, Germany
- *Correspondence: Bernd J. Kröger,
| | | | - Mengxue Cao
- School of Chinese Language and Literature, Beijing Normal University, Beijing, China
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Swann Z, Daliri A, Honeycutt CF. Impact of Startling Acoustic Stimuli on Word Repetition in Individuals With Aphasia and Apraxia of Speech Following Stroke. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:1671-1685. [PMID: 35377739 DOI: 10.1044/2022_jslhr-21-00486] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
PURPOSE The StartReact effect, whereby movements are elicited by loud, startling acoustic stimuli (SAS), allows the evaluation of movements when initiated through involuntary circuitry, before auditory feedback. When StartReact is applied during poststroke upper extremity movements, individuals exhibit increased muscle recruitment, reaction times, and reaching distances. StartReact releases unimpaired speech with similar increases in muscle recruitment and reaction time. However, as poststroke communication disorders have divergent neural circuitry from upper extremity tasks, it is unclear if StartReact will enhance speech poststroke. Our objective is to determine if (a) StartReact is present in individuals with poststroke aphasia and apraxia and (b) SAS exposure enhances speech intelligibility. METHOD We remotely delivered startling, 105-dB white noise bursts (SAS) and quiet, non-SAS cues to 15 individuals with poststroke aphasia and apraxia during repetition of six words. We evaluated average word intensity, pitch, pitch trajectories, vowel formants F1 and F2 (first and second formants), phonemic error rate, and percent incidence of each SAS versus non-SAS-elicited phoneme produced under each cue type. RESULTS For SAS trials compared to non-SAS, speech intensity increased (∆ + 0.6 dB), speech pitch increased (∆ + 22.7 Hz), and formants (F1 and F2) changed, resulting in a smaller vowel space after SAS. SAS affected pitch trajectories for some, but not all, words. Non-SAS trials had more stops (∆ + 4.7 utterances) while SAS trials had more sustained phonemes (fricatives, glides, affricates, liquids; ∆ + 5.4 utterances). SAS trials had fewer distortion errors but no change in substitution errors or overall error rate compared to non-SAS trials. CONCLUSIONS We show that stroke-impaired speech is susceptible to StartReact, evidenced by decreased intelligibility due to altered formants, pitch trajectories, and articulation, including increased incidence of sounds that could not be produced without SAS. Future studies should examine the impact of SAS on voluntary speech intelligibility and clinical measures of aphasia and apraxia.
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Affiliation(s)
- Zoe Swann
- School of Life Sciences, Arizona State University, Tempe
| | - Ayoub Daliri
- College of Health Solutions, Arizona State University, Tempe
| | - Claire F Honeycutt
- School of Biological and Health Science Engineering, Arizona State University, Tempe
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Malloy JR, Nistal D, Heyne M, Tardif MC, Bohland JW. Delayed Auditory Feedback Elicits Specific Patterns of Serial Order Errors in a Paced Syllable Sequence Production Task. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:1800-1821. [PMID: 35442719 DOI: 10.1044/2022_jslhr-21-00427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
PURPOSE Delayed auditory feedback (DAF) interferes with speech output. DAF causes distorted and disfluent productions and errors in the serial order of produced sounds. Although DAF has been studied extensively, the specific patterns of elicited speech errors are somewhat obscured by relatively small speech samples, differences across studies, and uncontrolled variables. The goal of this study was to characterize the types of serial order errors that increase under DAF in a systematic syllable sequence production task, which used a closed set of sounds and controlled for speech rate. METHOD Sixteen adult speakers repeatedly produced CVCVCV (C = consonant, V = vowel) sequences, paced to a "visual metronome," while hearing self-generated feedback with delays of 0-250 ms. Listeners transcribed recordings, and speech errors were classified based on the literature surrounding naturally occurring slips of the tongue. A series of mixed-effects models were used to assess the effects of delay for different error types, for error arrival time, and for speaking rate. RESULTS DAF had a significant effect on the overall error rate for delays of 100 ms or greater. Statistical models revealed significant effects (relative to zero delay) for vowel and syllable repetitions, vowel exchanges, vowel omissions, onset disfluencies, and distortions. Serial order errors were especially dominated by vowel and syllable repetitions. Errors occurred earlier on average within a trial for longer feedback delays. Although longer delays caused slower speech, this effect was mediated by the run number (time in the experiment) and small compared with those in previous studies. CONCLUSIONS DAF drives a specific pattern of serial order errors. The dominant pattern of vowel and syllable repetition errors suggests possible mechanisms whereby DAF drives changes to the activity in speech planning representations, yielding errors. These mechanisms are outlined with reference to the GODIVA (Gradient Order Directions Into Velocities of Articulators) model of speech planning and production. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.19601785.
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Affiliation(s)
| | - Dominic Nistal
- Department of Neurological Surgery, University of Washington, Seattle
| | - Matthias Heyne
- Department of Communication Science and Disorders, University of Pittsburgh, PA
| | - Monique C Tardif
- Department of Communication Science and Disorders, University of Pittsburgh, PA
- Center for the Neural Basis of Cognition, Pittsburgh, PA
| | - Jason W Bohland
- Department of Communication Science and Disorders, University of Pittsburgh, PA
- Center for the Neural Basis of Cognition, Pittsburgh, PA
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Grossberg S. Toward Understanding the Brain Dynamics of Music: Learning and Conscious Performance of Lyrics and Melodies With Variable Rhythms and Beats. Front Syst Neurosci 2022; 16:766239. [PMID: 35465193 PMCID: PMC9028030 DOI: 10.3389/fnsys.2022.766239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 02/23/2022] [Indexed: 11/13/2022] Open
Abstract
A neural network architecture models how humans learn and consciously perform musical lyrics and melodies with variable rhythms and beats, using brain design principles and mechanisms that evolved earlier than human musical capabilities, and that have explained and predicted many kinds of psychological and neurobiological data. One principle is called factorization of order and rhythm: Working memories store sequential information in a rate-invariant and speaker-invariant way to avoid using excessive memory and to support learning of language, spatial, and motor skills. Stored invariant representations can be flexibly performed in a rate-dependent and speaker-dependent way under volitional control. A canonical working memory design stores linguistic, spatial, motoric, and musical sequences, including sequences with repeated words in lyrics, or repeated pitches in songs. Stored sequences of individual word chunks and pitch chunks are categorized through learning into lyrics chunks and pitches chunks. Pitches chunks respond selectively to stored sequences of individual pitch chunks that categorize harmonics of each pitch, thereby supporting tonal music. Bottom-up and top-down learning between working memory and chunking networks dynamically stabilizes the memory of learned music. Songs are learned by associatively linking sequences of lyrics and pitches chunks. Performance begins when list chunks read word chunk and pitch chunk sequences into working memory. Learning and performance of regular rhythms exploits cortical modulation of beats that are generated in the basal ganglia. Arbitrary performance rhythms are learned by adaptive timing circuits in the cerebellum interacting with prefrontal cortex and basal ganglia. The same network design that controls walking, running, and finger tapping also generates beats and the urge to move with a beat.
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Affiliation(s)
- Stephen Grossberg
- Center for Adaptive Systems, Graduate Program in Cognitive and Neural Systems, Department of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering, Boston University, Boston, MA, United States
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Kröger BJ. Computer-Implemented Articulatory Models for Speech Production: A Review. Front Robot AI 2022; 9:796739. [PMID: 35494539 PMCID: PMC9040071 DOI: 10.3389/frobt.2022.796739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 02/21/2022] [Indexed: 11/24/2022] Open
Abstract
Modeling speech production and speech articulation is still an evolving research topic. Some current core questions are: What is the underlying (neural) organization for controlling speech articulation? How to model speech articulators like lips and tongue and their movements in an efficient but also biologically realistic way? How to develop high-quality articulatory-acoustic models leading to high-quality articulatory speech synthesis? Thus, on the one hand computer-modeling will help us to unfold underlying biological as well as acoustic-articulatory concepts of speech production and on the other hand further modeling efforts will help us to reach the goal of high-quality articulatory-acoustic speech synthesis based on more detailed knowledge on vocal tract acoustics and speech articulation. Currently, articulatory models are not able to reach the quality level of corpus-based speech synthesis. Moreover, biomechanical and neuromuscular based approaches are complex and still not usable for sentence-level speech synthesis. This paper lists many computer-implemented articulatory models and provides criteria for dividing articulatory models in different categories. A recent major research question, i.e., how to control articulatory models in a neurobiologically adequate manner is discussed in detail. It can be concluded that there is a strong need to further developing articulatory-acoustic models in order to test quantitative neurobiologically based control concepts for speech articulation as well as to uncover the remaining details in human articulatory and acoustic signal generation. Furthermore, these efforts may help us to approach the goal of establishing high-quality articulatory-acoustic as well as neurobiologically grounded speech synthesis.
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