Improving Dysarthric Speech Segmentation With Emulated and Synthetic Augmentation.

Acoustic features extracted from speech can help with the diagnosis of neurological diseases and monitoring of symptoms over time. Temporal segmentation of audio signals into individual words is an important pre-processing step needed prior to extracting acoustic features. Machine learning techniques could be used to automate speech segmentation via automatic speech recognition (ASR) and sequence to sequence alignment. While state-of-the-art ASR models achieve good performance on healthy speech, their performance significantly drops when evaluated on dysarthric speech. Fine-tuning ASR models on impaired speech can improve performance in dysarthric individuals, but it requires representative clinical data, which is difficult to collect and may raise privacy concerns. This study explores the feasibility of using two augmentation methods to increase ASR performance on dysarthric speech: 1) healthy individuals varying their speaking rate and loudness (as is often used in assessments of pathological speech); 2) synthetic speech with variations in speaking rate and accent (to ensure more diverse vocal representations and fairness). Experimental evaluations showed that fine-tuning a pre-trained ASR model with data from these two sources outperformed a model fine-tuned only on real clinical data and matched the performance of a model fine-tuned on the combination of real clinical data and synthetic speech. When evaluated on held-out acoustic data from 24 individuals with various neurological diseases, the best performing model achieved an average word error rate of 5.7% and a mean correct count accuracy of 94.4%. In segmenting the data into individual words, a mean intersection-over-union of 89.2% was obtained against manual parsing (ground truth). It can be concluded that emulated and synthetic augmentations can significantly reduce the need for real clinical data of dysarthric speech when fine-tuning ASR models and, in turn, for speech segmentation.

[Features of aphasic disorders in patients with acute cerebrovascular disorder in the posterior cerebral artery basin]. / Osobennosti afaticheskikh rasstroistv u patsientov s ostrym narusheniem mozgovogo krovoobrashcheniya v basseine zadnei mozgovoi arterii.

Aphasia is a systemic disorder of formed speech that develops as a result of local brain lesions. Most aphasias are characterized by damage to secondary cortical fields, which in turn are responsible for the performance of the functions of gnosis and praxis, which explains the variability in the manifestations of speech disorders in patients with acute cerebrovascular accidents. However, it is necessary in each case to diagnose the central pathological mechanism, which underlies the development of the entire syndrome and determines the entire clinical picture. The most important task of a speech therapist-aphasiologist is to qualify the defect, namely to isolate the mechanism and analyze the syndrome in order to select individual methods of corrective restoration. This article presents a case of a patient with an ischemic stroke in the left posterior cerebral artery with the development of amnestic aphasia in combination with alexia without agraphia.

Echo detection thresholds in big brown bats (Eptesicus fuscus) vary with echo spectral content.

Echolocating big brown bats (Eptesicus fuscus) broadcast downward frequency-modulated sweeps covering the ultrasonic range from 100-23 kHz in two harmonics. They perceive target range from the time delay between each broadcast and its returning echo. Previous experiments indicated that the bat's discrimination acuity for broadcast-echo delay declines when the lowest frequencies (23-35 kHz) in the first harmonic of an echo are removed. This experiment examined whether echo detection is similarly impaired. Results show that detection thresholds for echoes missing these lowest frequencies are raised. Increased thresholds for echoes differing in spectra facilitates the bat's ability to discriminate against clutter.

Functional and structural abnormalities of the speech disorders: a multimodal activation likelihood estimation meta-analysis.

Speech disorders are associated with different degrees of functional and structural abnormalities. However, the abnormalities associated with specific disorders, and the common abnormalities shown by all disorders, remain unclear. Herein, a meta-analysis was conducted to integrate the results of 70 studies that compared 1843 speech disorder patients (dysarthria, dysphonia, stuttering, and aphasia) to 1950 healthy controls in terms of brain activity, functional connectivity, gray matter, and white matter fractional anisotropy. The analysis revealed that compared to controls, the dysarthria group showed higher activity in the left superior temporal gyrus and lower activity in the left postcentral gyrus. The dysphonia group had higher activity in the right precentral and postcentral gyrus. The stuttering group had higher activity in the right inferior frontal gyrus and lower activity in the left inferior frontal gyrus. The aphasia group showed lower activity in the bilateral anterior cingulate gyrus and left superior frontal gyrus. Across the four disorders, there were concurrent lower activity, gray matter, and fractional anisotropy in motor and auditory cortices, and stronger connectivity between the default mode network and frontoparietal network. These findings enhance our understanding of the neural basis of speech disorders, potentially aiding clinical diagnosis and intervention.

Dynamic Temporal and Tactile Cueing in Young Children With Childhood Apraxia of Speech: A Multiple Single-Case Design.

PURPOSE: Childhood apraxia of speech (CAS) is a multivariate motor speech disorder that requires a motor-based intervention approach. There is limited treatment research on young children with CAS, reflecting a critical gap in the literature given that features of CAS are often in full expression early in development. Dynamic Temporal and Tactile Cueing (DTTC) is a treatment approach designed for children with severe CAS, yet the use of DTTC with children younger than 3 years of age has not been examined. METHOD: A multiple single-case design was employed to examine the use of DTTC in seven children with CAS (aged 2.5-5 years) over the course of 6 weeks of intervention. Changes in word accuracy were measured in treated words from baseline to posttreatment and from baseline to maintenance (6 weeks posttreatment). Generalization of word accuracy changes to matched untreated words was also examined. A linear mixed-effects model was used to estimate the change in word accuracy for treated and untreated words across all children from baseline to posttreatment and to maintenance. A quasi-Poisson regression model was used to estimate mean change and calculate effect sizes for treated and untreated words. RESULTS: Group-level analyses revealed significant changes in word accuracy for treated and untreated words at posttreatment and maintenance. At the child level, six of seven children displayed medium-to-large effect sizes where word accuracy increased in an average of 3.4/5 words across all children. Each child displayed some degree of generalization to untreated targets, specifically for words with the same syllable shape as the treated words. CONCLUSIONS: These results demonstrate that DTTC can yield positive change in some young children with CAS. Key differences in each child's performance are highlighted.

Gerstmann Syndrome Case-Control Study: Correlation between Brain Lesions & Functional Disability.

Deep functional and structural neuroimaging of a series of Gerstmann's syndrome patients required high accuracy, and our results avoided false overlaps of heterogeneous brain lesions by handling each case of our study subjects separately as an individual case regarding functional and neuroimaging tests. Six patients with Gerstmann tetrad (one with dominant acalculia, one with dominant left and right disorientation, two with writing disabilities and two with finger agnosia) and 6 control subjects with close ages were recruited in the current study. In the main phase, we assessed brain activation in response to experimental and interventional settings using neuroimaging techniques (FMRI-Functional Magnetic Resonance Imagingwhere twelve pictures were taken on a Dell inspiration 3T all-body scanner with sequences of echo pictures, 80o angled, TE 35 ms) of the subject's brain to declare lesions existence and locations that might result in one of the four cognitive impairment domains of Gerstman's syndrome tetrad. We assessed statistically significant differences of patient images vs. control images as well as the images of patients presenting specific symptomatic cognitive dysfunction domain vs. the images of patients presenting the three other domains. Neuroimages were analyzed using multiple databases such as T1 weighted and free sequence types. Gerstmann's syndrome is mainly connected to injury in the dominant parietal lobe, so images comparisons and analysis were only restricted to the left parietal lobe region. P values <0.05were only considered as statistically significant difference in comparisons of functional tests time and accuracy of patients vs. in addition to comparisons of brain images parameters of patient group vs. control group and specific symptomatic domain patients vs. other symptomatic domains patients. Regarding functional testing, Patients group took significantly higher time compared to control group. Regarding brain images parameters, patients in each domain showed significantly different lesions compared to other domains. Moreover, control subjects showed no lesions in the left parietal lobe compared to significant lesions in the patient groups. These results oppose the theory of Gerstmann that a common brain structural injury may result in the combination of all of the four symptomatic dysfunction domains. This may be due to the fact that Gerstmann examined incomplete cases which represent a considerable criticism to his scientific basis. Moreover, he excluded patients with speech difficulties and apraxia.

The Vocal Flutter of Multiple System Atrophy: A Parkinsonian-Type Phenomenon?

BACKGROUND: Early features of multiple system atrophy (MSA) are similar to those in Parkinson's disease (PD), which can challenge differential diagnosis. Identifying clinical markers that help distinguish MSA from forms of parkinsonism is essential to promptly implement the most appropriate management plan. In the context of a thorough neurological evaluation, the presence of a vocal flutter might be considered a potential feature of MSA-parkinsonian type (MSA-P). CASES: This case series describes clinical histories of 3 individuals with MSA-P. In each case, vocal flutter was detected during neurological and motor speech evaluations. It seemed to be a concomitant feature with the constellation of other signs and symptoms that led to the clinical diagnosis. LITERATURE REVIEW: The vocal flutter may be described as pitch and loudness fluctuations during phonation. Different from a vocal tremor, the flutter phenomenon has higher oscillation frequencies. The neuropathological underpinnings of vocal flutter may be related to generalized laryngeal dysfunction that is commonly described in MSA-P. CONCLUSION: Vocal flutter may be a unique speech feature in some individuals who have MSA-P. Future studies using perceptual and acoustic measures of speech are warranted to quantify these observations and directly compare to other MSA variants, PD, and a control group.

The value of genomic testing in severe childhood speech disorders.

With increasing gene discoveries for severe speech disorders, genomic testing can alter the diagnostic and clinical paradigms, enabling better life outcomes for children and their families. However, evidence on the value of the outcomes generated is lacking, impeding optimal translation into health care. This study aims to estimate the value and uptake of genomic testing for severe childhood speech disorders. A discrete choice experiment was undertaken to elicit preferences for genomic testing from the perspective of the Australian public (n = 951) and parents of children experiencing severe speech disorder (n = 56). Choice attributes associated with genomic testing were identified through focus groups. A Bayesian D-efficient design was used to develop choice scenarios and choice data were analyzed using a panel error component mixed logit model and a latent class model. Statistically significant preferences were identified across all seven attributes. The mean monetary value of the benefits of genomic testing relative to standard diagnostic care in Australia was estimated at AU$7489 (US$5021) and AU$4452 (US$2985) from the perspectives of the Australian public and families with lived experience of severe speech disorders, with a corresponding test uptake of 94.2% and 99.6%. To ensure fair prioritization of genomics, decision-makers need to consider the wide range of risks and benefits associated with genomic information.

Effect of Phonological Awareness-Focused Interventions on Phonological Errors and Phonemic Awareness in Young School-Age Children.

This study aimed to explore the effects of an integrated phonological awareness intervention on phonological errors and phonemic awareness among young school-age children. Three children with at least one phonological error pattern and below-average phonological awareness skills participated in a non-concurrent multiple baseline single-subject design across participants' investigation. The integrated phonological awareness intervention consisted of completing blending and segmenting activities using 20 trained words, with a dose of 70 to 100 productions of the targeted phonological error pattern for 10, 30-minute sessions. All participants showed improvement in the primary dependent variable of percent consonants correct for their targeted error pattern for trained words. Results for percent phonemes correct showed gains for both blending and segmenting for all participants. All the participants transferred targeted skills to untrained words with their error pattern and generalized blending and segmenting to consonant-vowel-consonant words that did not contain their target error pattern in a pretest/posttest. Integrated phonological awareness intervention was an effective method of simultaneously improving speech production and phonemic awareness skills for young school-age children across 5 hours of treatment. The intervention was designed to be replicable by school-based speech-language pathologists seeking to efficiently support students with phonological errors and phonological awareness deficits.

Beyond 'speech delay': Expanding the phenotype of BRPF1-related disorder.

Pathogenic variants in BRPF1 cause intellectual disability, ptosis and facial dysmorphism. Speech and language deficits have been identified as a manifestation of BRPF1-related disorder but have not been systematically characterized. We provide a comprehensive delineation of speech and language abilities in BRPF1-related disorder and expand the phenotype. Speech and language, and health and medical history were assessed in 15 participants (male = 10, median age = 7 years 4 months) with 14 BRPF1 variants. Language disorders were common (11/12), and most had mild to moderate deficits across receptive, expressive, written, and social-pragmatic domains. Speech disorders were frequent (7/9), including phonological delay (6/9) and disorder (3/9), and childhood apraxia of speech (3/9). All those tested for cognitive abilities had a FSIQ ≥70 (4/4). Participants had vision impairment (13/15), fine (8/15) and gross motor delay (10/15) which often resolved in later childhood, infant feeding impairment (8/15), and infant hypotonia (9/15). We have implicated BRPF1-related disorder as causative for speech and language disorder, including childhood apraxia of speech. Adaptive behavior and cognition were strengths when compared to other monogenic neurodevelopmental chromatin-related disorders. The universal involvement of speech and language impairment is noteable, relative to the high degree of phenotypic variability in BRPF1-related disorder.

Detecting bulbar amyotrophic lateral sclerosis (ALS) using automatic acoustic analysis.

Automatic speech assessments have the potential to dramatically improve ALS clinical practice and facilitate patient stratification for ALS clinical trials. Acoustic speech analysis has demonstrated the ability to capture a variety of relevant speech motor impairments, but implementation has been hindered by both the nature of lab-based assessments (requiring travel and time for patients) and also by the opacity of some acoustic feature analysis methods. These challenges and others have obscured the ability to distinguish different ALS disease stages/severities. Validation of automated acoustic analysis tools could enable detection of early signs of ALS, and these tools could be deployed to screen and monitor patients without requiring clinic visits. Here, we sought to determine whether acoustic features gathered using an automated assessment app could detect ALS as well as different levels of speech impairment severity resulting from ALS. Speech samples (readings of a standardized, 99-word passage) from 119 ALS patients with varying degrees of disease severity as well as 22 neurologically healthy participants were analyzed, and 53 acoustic features were extracted. Patients were stratified into early and late stages of disease (ALS-early/ALS-E and ALS-late/ALS-L) based on the ALS Functional Ratings Scale-Revised bulbar score (FRS-bulb) (median [interquartile range] of FRS-bulbar scores: 11[3]). The data were analyzed using a sparse Bayesian logistic regression classifier. It was determined that the current relatively small set of acoustic features could distinguish between ALS and controls well (area under receiver-operating characteristic curve/AUROC = 0.85), that the ALS-E patients could be separated well from control participants (AUROC = 0.78), and that ALS-E and ALS-L patients could be reasonably separated (AUROC = 0.70). These results highlight the potential for automated acoustic analyses to detect and stratify ALS.

Characterizing Speech Errors Across Primary Progressive Apraxia of Speech Subtypes.

PURPOSE: Apraxia of speech (AOS) is a motor speech disorder affecting articulatory planning and speech programming. When AOS is the sole manifestation of neurodegeneration, it is termed primary progressive apraxia of speech (PPAOS). Recent work has shown that there are distinct PPAOS subtypes: phonetic, prosodic, and those that do not clearly align with either (mixed). PPAOS subtypes differ with respect to the predominating motor speech difficulties, as well as disease progression and underlying pathology. Because past studies have determined PPAOS subtype based on clinical impression, the goal of the present study was to quantitatively determine the distribution of speech error types across PPAOS subtypes in a word repetition task and to investigate how word complexity affects the type and number of speech errors across PPAOS subtypes. METHOD: Forty-five patients with PPAOS (13 phonetic, 23 prosodic, and nine mixed) and 45 healthy controls produced multiple repetitions of words that varied in phonetic complexity. Sound additions, deletions, and substitutions/distortions (phonetic errors) and within-word segmentations (prosodic errors) were calculated. RESULTS: All three PPAOS groups produced significantly more errors than controls, but the total number of errors was comparable among subtypes. The phonetic group produced more phonetic-type errors compared to the prosodic group but comparable to the mixed group. The prosodic group produced more segmentations compared to the phonetic and mixed PPAOS groups. As word complexity increased, the total number of errors increased for PPAOS patients. The phonetic and prosodic groups were more likely to produce phonetic- and prosodic-type errors, respectively, as word complexity increased. CONCLUSIONS: This study provides novel quantitative data showing that PPAOS subtype can be supported by the type and distribution of speech errors in a word repetition task. This may facilitate earlier, more reliable differential diagnosis and aid in disease prognosis, as PPAOS subtypes have distinct disease trajectories.

Impact of clear aligner therapy on speech: does clear aligner therapy cause any speech difficulty?

DATA SOURCES: Electronic search was conducted up to September 2021 in three electronic databases including Scopus, Web of Science, and EMBASE. Only studies in English language were selected. STUDY SELECTION: Prospective and retrospective studies including cohort, cross-sectional, randomized control trials, and qualitative studies were included. Both the inclusion and exclusion criteria were reported. The search in the databases and the selection of the studies were performed independently by two reviewers. The included studies assessed the effects of clear aligner therapy on the speech difficulty. DATA EXTRACTION AND SYNTHESIS: Data extraction was performed independently by two reviewers. The data from the relevant studies were extracted into a customized Template. The systematic review was carried out and reported based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. Details regarding the authors, year of publication, sample size, included participants, age, groups, outcome assessment, results, and inferences were extracted from the selected studies. The quality of the selected studies was assessed based on the relevant guidelines from Cochrane Handbook for Systematic Reviews. The criteria examined sequence generation, allocation concealment, blinding, outcome data, selective reporting, and other sources of bias. Non-randomized studies were assessed using the ROBINS-I tool (Risk of Bias in Non-randomized studies). The strength of evidence was assessed by the evidence grading system developed by the GRADE collaboration as described in the Cochrane Handbook for Systematic Reviews of Interventions. RESULTS: The search identified 283 results. 269 articles were excluded based on their title and abstract after evaluation against the inclusion criteria. 14 articles were assessed in full text. Finally, 7 papers were included in the qualitative analysis. The included studies were 5 cohort studies and 2 randomized clinical studies. 332 patients were examined in the included studies. There were 195 females and 137 males. 191 patients were treated using clear aligner therapy (CAT) while 122 patients were treated using labial fixed appliances and 19 patients were treated using lingual orthodontic treatment. Out of the 191 patients who were treated using CAT, 179 patients were treated using Invisalign (Santa Clara, CA, USA) while 12 patients were treated using Smile Align (Mumbai, India). All seven selected studies examined speech dysfunction. The speech difficulty was assessed through two tools - semiobjective assessment by speech pathologists and professionals and subjective evaluations by the patients themselves through a patient questionnaire that assess the effects of aligners on speech. The risk of bias assessment revealed that two studies had moderate risk of bias while five articles had serious risk of bias. Meta-analysis was not performed due to the high heterogeneity of the included studies. The level of evidence was assessed as low due to the methodological insufficiencies and risk of bias in the included studies. The results showed that both CAT and fixed appliances (FA) resulted in speech difficulties in terms of clarity and delivery of speech that include speech alteration, slurring of words, lisping, and nasality. Some patients who were treated using CAT reported impairment in the lingual space that affected their speech. Lingual FA resulted in more speech difficulty when compared to labial FA and CAT. Aligners caused errors in the articulation of /s/,/z/,/zh/,/sh/,/th/,/ch/. Acoustic analysis revealed /s/ sound appeared most affected. Aligners had an effect on speech while reading, with patients slowing down to their speed to better articulate. The above-mentioned speech difficulties were transient. The included patients normalized their speech within 7-14 days from start of treatment while few patients took 30-60 days to recover. CONCLUSIONS: Although the likelihood of speech difficulties would be high with CAT, the current evidence states that speech difficulties shown with CAT are similar to those found with FA. However, the patients who were treated using CAT adapt quickly and speech recovers within a few weeks. Time to recovery varied greatly, ranging from a week to two months in certain cases.

Diagnosis of pathological speech with streamlined features for long short-term memory learning.

BACKGROUND: Pathological speech diagnosis is crucial for identifying and treating various speech disorders. Accurate diagnosis aids in developing targeted intervention strategies, improving patients' communication abilities, and enhancing their overall quality of life. With the rising incidence of speech-related conditions globally, including oral health, the need for efficient and reliable diagnostic tools has become paramount, emphasizing the significance of advanced research in this field. METHODS: This paper introduces novel features for deep learning in the analysis of short voice signals. It proposes the incorporation of time-space and time-frequency features to accurately discern between two distinct groups: Individuals exhibiting normal vocal patterns and those manifesting pathological voice conditions. These advancements aim to enhance the precision and reliability of diagnostic procedures, paving the way for more targeted treatment approaches. RESULTS: Utilizing a publicly available voice database, this study carried out training and validation using long short-term memory (LSTM) networks learning on the combined features, along with a data balancing strategy. The proposed approach yielded promising performance metrics: 90% accuracy, 93% sensitivity, 87% specificity, 88% precision, an F1 score of 0.90, and an area under the receiver operating characteristic curve of 0.96. The results surpassed those obtained by the networks trained using wavelet-time scattering coefficients, as well as several algorithms trained with alternative feature types. CONCLUSIONS: The incorporation of time-frequency and time-space features extracted from short segments of voice signals for LSTM learning demonstrates significant promise as an AI tool for the diagnosis of speech pathology. The proposed approach has the potential to enhance the accuracy and allow for real-time pathological speech assessment, thereby facilitating more targeted and effective therapeutic interventions.

Relation of Speech-Language Profile and Communication Modality to Participation of Children With Cerebral Palsy.

PURPOSE: This study aimed to examine the contribution of speech motor impairment (SMI), language impairment, and communication modality to communicative and overall participation outcomes in school-age children with cerebral palsy (CP). METHOD: Eighty-one caregivers of children with CP provided information about their child's speech and language skills, communication modality, and participation through a web-based survey. Caregiver responses to two validated scales were used to quantify children's communicative participation and overall participation. Children were classified into four speech-language profile groups and three communication modality groups for comparison, based on caregiver-reported information regarding their child's communication skills. RESULTS: Children with CP who had co-occurring SMI and language impairment had significantly lower levels of communicative participation and involvement in activities overall, compared to children with SMI alone. Among children with SMI, augmentative and alternative communication (AAC) use was associated with greater overall frequency of participation and involvement in life activities. CONCLUSION: Children with CP who have both SMI and language impairment and those who are nonspeaking communicators should be prioritized early for communication interventions focused on maximizing participation, including consideration of AAC.

Screening for Speech and Language Delay and Disorders in Children 5 Years or Younger: Evidence Report and Systematic Review for the US Preventive Services Task Force.

Importance: Children with speech and language difficulties are at risk for learning and behavioral problems. Objective: To review the evidence on screening for speech and language delay or disorders in children 5 years or younger to inform the US Preventive Services Task Force. Data Sources: PubMed/MEDLINE, Cochrane Library, PsycInfo, ERIC, Linguistic and Language Behavior Abstracts (ProQuest), and trial registries through January 17, 2023; surveillance through November 24, 2023. Study Selection: English-language studies of screening test accuracy, trials or cohort studies comparing screening vs no screening; randomized clinical trials (RCTs) of interventions. Data Extraction and Synthesis: Dual review of abstracts, full-text articles, study quality, and data extraction; results were narratively summarized. Main Outcomes and Measures: Screening test accuracy, speech and language outcomes, school performance, function, quality of life, and harms. Results: Thirty-eight studies in 41 articles were included (N = 9006). No study evaluated the direct benefits of screening vs no screening. Twenty-one studies (n = 7489) assessed the accuracy of 23 different screening tools that varied with regard to whether they were designed to be completed by parents vs trained examiners, and to screen for global (any) language problems vs specific skills (eg, expressive language). Three studies assessing parent-reported tools for expressive language skills found consistently high sensitivity (range, 88%-93%) and specificity (range, 88%-85%). The accuracy of other screening tools varied widely. Seventeen RCTs (n = 1517) evaluated interventions for speech and language delay or disorders, although none enrolled children identified by routine screening in primary care. Two RCTs evaluating relatively intensive parental group training interventions (11 sessions) found benefit for different measures of expressive language skills, and 1 evaluating a less intensive intervention (6 sessions) found no difference between groups for any outcome. Two RCTs (n = 76) evaluating the Lidcombe Program of Early Stuttering Intervention delivered by speech-language pathologists featuring parent training found a 2.3% to 3.0% lower proportion of syllables stuttered at 9 months compared with the control group when delivered in clinic and via telehealth, respectively. Evidence on other interventions was limited. No RCTs reported on the harms of interventions. Conclusions and Relevance: No studies directly assessed the benefits and harms of screening. Some parent-reported screening tools for expressive language skills had reasonable accuracy for detecting expressive language delay. Group parent training programs for speech delay that provided at least 11 parental training sessions improved expressive language skills, and a stuttering intervention delivered by speech-language pathologists reduced stuttering frequency.

Levodopa may modulate specific speech impairment in Parkinson's disease: an fMRI study.

Hypokinetic dysarthria (HD) is a difficult-to-treat symptom affecting quality of life in patients with Parkinson's disease (PD). Levodopa may partially alleviate some symptoms of HD in PD, but the neural correlates of these effects are not fully understood. The aim of our study was to identify neural mechanisms by which levodopa affects articulation and prosody in patients with PD. Altogether 20 PD patients participated in a task fMRI study (overt sentence reading). Using a single dose of levodopa after an overnight withdrawal of dopaminergic medication, levodopa-induced BOLD signal changes within the articulatory pathway (in regions of interest; ROIs) were studied. We also correlated levodopa-induced BOLD signal changes with the changes in acoustic parameters of speech. We observed no significant changes in acoustic parameters due to acute levodopa administration. After levodopa administration as compared to the OFF dopaminergic condition, patients showed task-induced BOLD signal decreases in the left ventral thalamus (p = 0.0033). The changes in thalamic activation were associated with changes in pitch variation (R = 0.67, p = 0.006), while the changes in caudate nucleus activation were related to changes in the second formant variability which evaluates precise articulation (R = 0.70, p = 0.003). The results are in line with the notion that levodopa does not have a major impact on HD in PD, but it may induce neural changes within the basal ganglia circuitries that are related to changes in speech prosody and articulation.

Velopharyngeal insufficiency, speech, and language impairment in craniofacial microsomia: a scoping review.

This review provides a comprehensive overview of the literature on velopharyngeal insufficiency, associated anomalies, and speech/language impairment in patients with craniofacial microsomia (CFM). A systematic search of the literature was conducted to identify records on VPI and speech impairment in CFM from their inception until September 2022 within the databases Embase, PubMed, MEDLINE, Ovid, CINAHL EBSCO, Web of Science, Cochrane, and Google Scholar. Seventeen articles were included, analysing 1,253 patients. Velopharyngeal insufficiency results in hypernasality can lead to speech impairment. The reported prevalence of both velopharyngeal insufficiency and hypernasality ranged between 12.5% and 55%, while the reported prevalence of speech impairment in patients with CFM varied between 35.4% and 74%. Language problems were reported in 37% to 50% of patients. Speech therapy was documented in 45.5% to 59.6% of patients, while surgical treatment for velopharyngeal insufficiency consisted of pharyngeal flap surgery or pharyngoplasty and was reported in 31.6% to 100%. Cleft lip and/or palate was reported in 10% to 100% of patients with CFM; these patients were found to have worse speech results than those without cleft lip and/or palate. No consensus was found on patient characteristics associated with an increased risk of velopharyngeal insufficiency and speech/language impairment. Although velopharyngeal insufficiency is a less commonly reported characteristic of CFM than other malformations, it can cause speech impairment, which may contribute to delayed language development in patients with CFM. Therefore, timely recognition and treatment of speech impairment is essential.

Do Adult Naïve Listeners Perceive Differences in Speech Before and After Therapy for Cleft Palate Speech Disorders? A Reliability Study of Perceptual Speech Ratings.

PURPOSE: This study compared the interrater reliability of adult naïve listeners' perceptual assessments of different speech variables in children with a cleft palate with or without a cleft lip (CP ± L). In addition, the study investigated whether the listeners were able to perceive differences in these speech variables before and after speech therapy for cleft palate speech disorders. METHOD: Thirty-four speech samples of 14 children with a CP ± L (14 samples collected immediately before 10 hr of speech intervention, 14 samples collected immediately after speech intervention, and six randomly selected samples that were duplicated to assess intrarater reliability) were perceptually assessed by 26 adult naïve listeners. The listening panel consisted of nine men and 17 women (age range: 18-51 years). The speech variables included speech understandability, speech acceptability, hypernasality, hyponasality, nasal airflow, and articulation, which were assessed on a visual analog scale. Furthermore, the need for speech therapy was assessed. RESULTS: Good to very good interrater reliability was observed for the naïve listeners' ratings of all speech variables. A significant time effect was found for the pre- and postevolution of the speech variables "speech understandability," "speech acceptability," "nasal airflow," and "articulation." This time effect indicates an improvement of these variables postintervention. According to the naïve listeners, children were less in need of additional speech therapy after the 10-hr intervention period compared to assessments before this intervention period. CONCLUSIONS: Adult naïve listeners perceptually identified an improvement in different speech variables after 10 hr of cleft palate speech therapy. These findings confirm previous assessments of expert speech-language pathologists and suggest that speech improvements after cleft palate speech therapy can also be perceived by communication partners outside the therapy room. Perceptual ratings of naïve listeners can, thus, be used to add life-situation significance to the assessments of experts. Future research could include both expert raters and caregivers or relatives of children with a CP ± L in listening panels, as previous knowledge on craniofacial anomalies may lead to different results.