A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism

P Washington, DP Wall - Annual review of biomedical data …, 2023 - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

Linguistic prosody in autism spectrum disorder—An overview

M Grice, S Wehrle, M Krüger, M Spaniol… - Language and …, 2023 - Wiley Online Library
Linguistic prosody involves the rhythm and melody of speech. It implicitly enhances or
modifies the explicit meaning of spoken words. The literature on linguistic prosody related to …

Speech changes in old age: methodological considerations for speech‐based discrimination of healthy ageing and Alzheimer's disease

O Ivanova, I Martínez‐Nicolás… - International Journal of …, 2024 - Wiley Online Library
Background Recent evidence suggests that speech substantially changes in ageing. As a
complex neurophysiological process, it can accurately reflect changes in the motor and …

Autism screening in toddlers and adults using deep learning and fair AI techniques

I Priyadarshini - Future Internet, 2023 - mdpi.com
Autism spectrum disorder (ASD) has been associated with conditions like depression,
anxiety, epilepsy, etc., due to its impact on an individual's educational, social, and …

Detecting fatigue in multiple sclerosis through automatic speech analysis

M Dias, F Dörr, S Garthof, S Schäfer… - Frontiers in Human …, 2024 - frontiersin.org
Multiple sclerosis (MS) is a chronic neuroinflammatory disease characterized by central
nervous system demyelination and axonal degeneration. Fatigue affects a major portion of …

Oromotor skills in autism spectrum disorder: A sco** review

MF Maffei, KV Chenausky, SV Gill… - Autism …, 2023 - Wiley Online Library
Oromotor functioning plays a foundational role in spoken communication and feeding, two
areas of significant difficulty for many autistic individuals. However, despite years of research …

Voice patterns as markers of schizophrenia: building a cumulative generalizable approach via a cross-linguistic and meta-analysis based investigation

A Parola, A Simonsen, JM Lin, Y Zhou… - Schizophrenia …, 2023 - academic.oup.com
Abstract Background and Hypothesis Voice atypicalities are potential markers of clinical
features of schizophrenia (eg, negative symptoms). A recent meta-analysis identified an …

Differences in speech articulatory timing and associations with pragmatic language ability in autism

JCY Lau, M Losh, M Speights - Research in autism spectrum disorders, 2023 - Elsevier
Background Speech articulation difficulties have not traditionally been considered to be a
feature of Autism Spectrum Disorder (ASD). In contrast, speech prosodic differences have …

Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review

K Rezaee - Computer Science Review, 2025 - Elsevier
Abstract Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition
characterized by social communication challenges, repetitive behaviors, and restricted …

Advancing autism technology

JM deLeyer‐Tiarks, MG Li… - Psychology in the …, 2023 - Wiley Online Library
The purpose of this review is to broadly identify technological advances in supports and
evaluation for individuals on the autism spectrum. Literature review with commentary on the …