Neurological disorders encompass dementia (Alzheimer), cerebrovascular diseases, multiple sclerosis, movement disorders (Parkinson’s, Huntington’s chorea, Ataxia), motor-neuron diseases (ALS) among others (Prion diseases, Spinocerebellar Ataxia, Hydrocephalus, Spinal Muscular Atrophy…). These diseases are the main cause of disability worldwide and the second leading cause of death. The number of deaths and the number of people with disabilities due to neurological diseases has increased significantly over the past three decades. Moreover, population growth and aging are expected to further increase these number globally.
Early diagnosis and prompt therapeutic interventions can often lead to better prognosis and improve quality of life. However, current diagnostic techniques imply clinical procedure that can be invasive, can be costly and are incompatible with frequent or wide scale applications.
Thus, it is paramount to find effective low-cost assessment strategies for improving early disease detection-especially in pre-clinical stages, for tracking disease progression, and for optimizing the efficacy of therapeutic approaches.
Voice communication, as it involves cognitive and neuromotor mechanisms, is one of the first human capacities to be affected by neurological disorders. Due to its naturalness in daily use and the simplicity of the acquisition mechanisms, the analysis of voice and speech using automatic computational tools is an approach that can respond to the challenges posed by neurological diseases.
Therefore, it is important and urgent to invest in the development of this technological approach, developing more comprehensive and robust solutions for the detection, diagnosis and monitoring of these pathologies.
Assessment of Neurological functions based on speech seems to be a well-suited approach to achieve faster and wide examination and help clinicians to tackle the growing challenge of neurological disorders.
Topics of Interest
Authors are invited to submit original, unpublished papers on topics including but not limited to:
Speech and Languages resources as well as tools that help to create these resources in the context of neurological disorders.
Speech and language biomarkers that can provide information about the disease
Models for classification or regression on clinical or pre-clinical stages
Language based systems that can help to monitor, track or assist people with neurological diseases
Speech and language-based approaches to tackle neurological diseases’ challenges
Submission deadline: March 1, 2021
Notification of acceptance: April 23, 2021
Manuscript submissions shall be made through: https://www.editorialmanager.com/YCSLA/.
The submission system will be open in mid January 2021. When submitting your manuscript please select the article type “VSI:Speech Eval. Neuro. Dis.”. Please submit your manuscript before the submission deadline.
All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.
Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV
Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal’s homepage https://www.elsevier.com/locate/csl.
Luis Coelho, Polytechnic Institute of Porto, Center for Innovation in Engineering and Industrial Technology, Portugal (email@example.com)
Carmen Garcia-Mateo, University of Vigo, AtlanTTic Research Center, Spain