Automated Vowel Articulation Analysis in Connected Speech Among Progressive Neurological Diseases, Dysarthria Types, and Dysarthria Severities

From prodromal stages to clinical trials: The promise of digital speech biomarkers in Parkinson's disease

Speech impairment is a common and disabling symptom in Parkinson's disease (PD), affecting communication and quality of life. Advances in digital speech processing and artificial intelligence have revolutionized objective speech analysis. Given the complex nature of speech impairment, acoustic speech analysis offers unique biomarkers for neuroprotective treatments from the prodromal stages of PD. Digital speech biomarkers can monitor levodopa-induced motor complications, detect the effects of deep brain stimulation, and provide feedback for behavioral speech therapy. This review updates the mechanisms underlying speech impairment, the impact of speech phenotypes, and the effects of interventions on speech. We evaluate the strengths, potential weaknesses, and suitability of promising digital speech biomarkers in PD for capturing disease progression and treatment efficacy. Additionally, we explore the translational potential of PD speech biomarkers to other neuropsychiatric diseases, offering insights into motion, cognition, and emotion. Finally, we highlight knowledge gaps and suggest directions for future research to enhance the use of quantitative speech measures in disease-modifying clinical trials. The findings demonstrate that one year is sufficient to detect disease progression in early PD through speech biomarkers. Voice quality, pitch, loudness, and articulation measures appear to capture the efficacy of treatment interventions most effectively. Certain speech features, such as loudness and articulation rate, behave oppositely in different neurological diseases, offering valuable insights for differential diagnosis. In conclusion, this review highlights speech as a biomarker in tracking disease progression, especially in the prodromal stages of PD, and calls for further longitudinal studies to establish its efficacy across diverse populations.

Variability in Vowel Space in Parkinson's Disease: Associations With Cognitive and Motor Impairment

PURPOSE

People with Parkinson's disease (PwP) typically experience impairments in vowel articulation; however, less is known about how this measure varies with speech task type and clinical characteristics such as cognitive impairment. We characterized vowel space in PwP with and without mild cognitive impairment (MCI) comparing performance across phonation, reading, and picture description tasks. We evaluated associations between vowel space and cognitive impairment, as well as motor symptom severity to elucidate the factors contributing to variability in this acoustic measure.

METHOD

PwP (n = 48) and age-matched controls (n = 15) performed sustained phonation of corner vowels, a reading passage, and a picture description task (Cookie Theft picture). PwP participants were classified as with normal cognition (PD-NC) or MCI (PD-MCI), and motor symptoms were assessed using the Movement Disorders Society Unified Parkingson's Disease Rating Scale Part III (MDS-UPDRS Part III). Vowel articulation index (VAI) for each task and mean difference in VAI between tasks was compared between the groups using linear mixed models adjusted for age, sex, and education. The impact of motor severity was assessed by additionally adjusting the model for MDS-UPDRS Part III score.

RESULTS

In the adjusted mixed model, mean VAI was significantly lower in the PD-MCI group compared to the PD-NC group for all tasks. Within participants, adjusted mean differences demonstrated that all groups declined in VAI when sustained phonation was compared to either reading or picture description tasks. Adjustment for MDS-UPDRS Part III did not alter the results, suggesting no major association of motor impairment with vowel space variability within or between individuals or groups.

CONCLUSIONS

Variability in vowel space is impacted by cognitive impairment and speech task in PwP. These findings are relevant to the further development of speech markers in PwP and other neurogenerative diseases that impact both cognitive and motor functions.

Smartphone Voice Calls Provide Early Biomarkers of Parkinsonism in Rapid Eye Movement Sleep Behavior Disorder

BACKGROUND

Speech dysfunction represents one of the initial motor manifestations to develop in Parkinson's disease (PD) and is measurable through smartphone.

OBJECTIVE

The aim was to develop a fully automated and noise-resistant smartphone-based system that can unobtrusively screen for prodromal parkinsonian speech disorder in subjects with isolated rapid eye movement sleep behavior disorder (iRBD) in a real-world scenario.

METHODS

This cross-sectional study assessed regular, everyday voice call data from individuals with iRBD compared to early PD patients and healthy controls via a developed smartphone application. The participants also performed an active, regular reading of a short passage on their smartphone. Smartphone data were continuously collected for up to 3 months after the standard in-person assessments at the clinic.

RESULTS

A total of 3525 calls that led to 5990 minutes of preprocessed speech were extracted from 72 participants, comprising 21 iRBD patients, 26 PD patients, and 25 controls. With a high area under the curve of 0.85 between iRBD patients and controls, the combination of passive and active smartphone data provided a comparable or even more sensitive evaluation than laboratory examination using a high-quality microphone. The most sensitive features to induce prodromal neurodegeneration in iRBD included imprecise vowel articulation during phone calls (P = 0.03) and monopitch in reading (P = 0.05). Eighteen minutes of speech corresponding to approximately nine calls was sufficient to obtain the best sensitivity for the screening.

CONCLUSION

We consider the developed tool widely applicable to deep longitudinal digital phenotyping data with future applications in neuroprotective trials, deep brain stimulation optimization, neuropsychiatry, speech therapy, population screening, and beyond. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Neurological complications in oncology and their monitoring and management in clinical practice: a narrative review

IMPORTANCE

New anti-tumor treatments, such as immune checkpoint inhibitors and CAR T-cell therapy, are associated with an increasing number of neurological issues linked to tumors not arising from nervous system such as neurological and neuropsychological side effects that can significantly impair quality of life in the short or long term. The science of pathomechanisms, therapeutic approaches, and preventive measures is still in its early stages, and the progress is hampered by the lack of studied connection between neurological and oncological disciplines.

OBJECTIVES

This work aimed to provide an overview of the questions raised in the field of clinical neuroscience that concern the outcomes of oncological diseases and their treatment. Furthermore, we give an outline of how a collaborative approach between neurology and oncology, with the implementation of neuroscience techniques including up-to-date diagnostics and therapy, can help to improve the quality of oncological patients' lives.

EVIDENCE REVIEW

The covered areas of investigation in the evaluated articles primarily encompassed the review of known neurological complications of oncological diseases caused by neurotoxic mechanisms of performed therapies or those linked to concurrent pathological conditions. Similarly, the methods of their diagnostics were assessed.

FINDINGS

Our literature review of 65 articles, including clinical trials, cohort studies, reviews, and theoretically based in vitro studies published between 1998 and 2023, outlines the broad spectrum of neurological complications primarily associated with malignant diseases and the anti-tumor therapies employed. Notably, immune-mediated complications, whose incidence is increasing due to the expanding use of new immunotherapies, require early detection and targeted treatment to prevent severe progression. In this context, neurological complications mediated by immune checkpoint inhibitors are often associated with significant impairments and high mortality, necessitating specialist consultation for early detection and differentiation from other phenotypically similar syndromes. Current data on the pathophysiology of these neurological complications are not reliable due to the limited number of studies. Moreover, there is a lack of evidence regarding the appropriate oncological approach in the event of therapy-related complications. Initial study results suggest that the establishment of interdisciplinary treatment interfaces for the management of oncology patients could improve the safety of these therapies and enhance the patients' quality of life.

CONCLUSIONS AND RELEVANCE

The accumulated knowledge on neurotoxicity caused by oncological diseases shows that the challenges in diagnosing and managing this condition are expanding in tandem with the growing array of therapies being employed. Therefore, it requires interdisciplinary approach with the introduction of new facilities enabling more personalized patient care.

A multimodal approach to automated hierarchical assessment of bulbar involvement in amyotrophic lateral sclerosis

Introduction

As a hallmark feature of amyotrophic lateral sclerosis (ALS), bulbar involvement leads to progressive declines of speech and swallowing functions, significantly impacting social, emotional, and physical health, and quality of life. Standard clinical tools for bulbar assessment focus primarily on clinical symptoms and functional outcomes. However, ALS is known to have a long, clinically silent prodromal stage characterized by complex subclinical changes at various levels of the bulbar motor system. These changes accumulate over time and eventually culminate in clinical symptoms and functional declines. Detection of these subclinical changes is critical, both for mechanistic understanding of bulbar neuromuscular pathology and for optimal clinical management of bulbar dysfunction in ALS. To this end, we developed a novel multimodal measurement tool based on two clinically readily available, noninvasive instruments-facial surface electromyography (sEMG) and acoustic techniques-to hierarchically assess seven constructs of bulbar/speech motor control at the neuromuscular and acoustic levels. These constructs, including prosody, pause, functional connectivity, amplitude, rhythm, complexity, and regularity, are both mechanically and clinically relevant to bulbar involvement.

Methods

Using a custom-developed, fully automated data analytic algorithm, a variety of features were extracted from the sEMG and acoustic recordings of a speech task performed by 13 individuals with ALS and 10 neurologically healthy controls. These features were then factorized into 10 composite outcome measures using confirmatory factor analysis. Statistical and machine learning techniques were applied to these composite outcome measures to evaluate their reliability (internal consistency), validity (concurrent and construct), and efficacy for early detection and progress monitoring of bulbar involvement in ALS.

Results

The composite outcome measures were demonstrated to (1) be internally consistent and structurally valid in measuring the targeted constructs; (2) hold concurrent validity with the existing clinical and functional criteria for bulbar assessment; and (3) outperform the outcome measures obtained from each constituent modality in differentiating individuals with ALS from healthy controls. Moreover, the composite outcome measures combined demonstrated high efficacy for detecting subclinical changes in the targeted constructs, both during the prodromal stage and during the transition from prodromal to symptomatic stages.

Discussion

The findings provided compelling initial evidence for the utility of the multimodal measurement tool for improving early detection and progress monitoring of bulbar involvement in ALS, which have important implications in facilitating timely access to and delivery of optimal clinical care of bulbar dysfunction.

Exploring access to community neurorehabilitation for people with progressive neurological conditions: a qualitative study

PURPOSE

Community neurorehabilitation enables people with progressive neurological conditions (PNCs) to manage their symptoms to live an active, fulfilling life; however, it is not accessible to all. This study explored the factors influencing access to community neurorehabilitation in Northern Ireland from the perspective of people with PNCs and their carers.

METHODS

Eleven people living with a PNC and three carers took part in virtual focus groups. Data was thematically analysed using the framework method.

RESULTS

Access to neurorehabilitation was described as a staged journey, driven by people with PNCs, and impacted by interactions with others. Four themes were identified: the person in the driving seat, describing the value of person-centred care and the need for proactivity; the traffic lights, depicting the role and influence of health care professionals (HCPs); the need for direction; and roadworks and roadblocks, identifying additional barriers to access. In addition, six fundamentals of good access were identified.

CONCLUSIONS

This study adds depth to our understanding of the complexity, and the roles and needs of people with PNCs and HCPs, in accessing community neurorehabilitation. Further research is needed to determine how best to empower people to access rehabilitation.

Profiles of Dysarthria: Clinical Assessment and Treatment

In recent decades, we have witnessed a wealth of theoretical work and proof-of-principle studies on dysarthria, including descriptions and classifications of dysarthric speech patterns, new and refined assessment methods, and innovative experimental intervention trials [...].