Speech Impairments in Neurodevelopmental Disorders and Acquired Aphasia
A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Developmental Psychology".
Deadline for manuscript submissions: 18 June 2026 | Viewed by 12
Special Issue Editor
Special Issue Information
Dear Colleagues,
Speech is a fundamental element of human communication. Impairments to this ability, whether from neurodevelopmental disorders or acquired conditions like aphasia following stroke or neurodegeneration, pose significant obstacles to daily life. The speech process itself is complex, encompassing both comprehension and production across multiple hierarchical dimensions, including phonology, lexicon, semantics, syntax, and pragmatics. A critical challenge lies in carefully delineating impairment profiles using both classic linguistic measures and innovative computational approaches, such as large language models.
Furthermore, due to its multidimensional nature and relative ease of collection, speech data have emerged as a valuable tool for diagnosing neurological conditions, predicting disease severity and subtypes, and monitoring recovery. The integration of machine learning with multimodal data could enable the development of intelligent models to advance clinical practice.
This Special Issue invites the submission of original research and review articles that investigate speech impairments in neurodevelopmental disorders and stroke/neurodegenerative aphasia. We encourage interdisciplinary contributions from fields including linguistics, psychology, rehabilitation, neurology, neuroscience, and computer science. Our goal is to advance the understanding of the cognitive and neural mechanisms underlying speech impairments and to promote clinical advances in their evaluation and diagnosis.
Dr. Junhua Ding
Guest Editor
Manuscript Submission Information
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Keywords
- speech impairments
- speech production
- speech comprehension
- stroke aphasia
- neurodegenerative disease
- neurodevelopmental disorders
- large language model
- machine learning
- linguistic analysis
- neurological diagnosis
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