ReviewCurrent neurology and neuroscience reports2019
Multivariate Approaches to Understanding Aphasia and its Neural Substrates.
Review in Current neurology and neuroscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Scalp acupuncture coupled with speech-language therapy modulates the ventral-dorsal structural brain network in patients with post-stroke anomia: a randomized clinical and DTI neuroimaging trial.Chinese medicine · 2026Article
- Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severity.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Post-stroke cognitive impairment: More than a lesion-symptom model.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Responsible development of clinical speech AI: Bridging the gap between clinical research and technology.NPJ digital medicine · 2024Review
- Insights gained over 60 years on factors shaping post-stroke aphasia recovery: A commentary on Vignolo (1964).Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Stable multivariate lesion symptom mapping.Aperture neuro · 2024Article
- Behavioural and neural structure of fluent speech production deficits in aphasia.Brain communications · 2023Article
- LEX-BADAT: Language EXperience in Bilinguals With and Without Aphasia DATaset.Frontiers in psychology · 2022Article
- Enhancing the Classification of Aphasia: A Statistical Analysis Using Connected Speech.Aphasiology · 2022Article
- Neuromodulatory effects of transcranial magnetic stimulation on language performance in healthy participants: Systematic review and meta-analysis.Frontiers in human neuroscience · 2022Article
- Machine learning-based multimodal prediction of language outcomes in chronic aphasia.Human brain mapping · 2021Article
- Article
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Authors and funding
2 authors.
Funding
Abstract
purpose of reviewAphasia is often characterized in terms of subtype and severity, yet these constructs have limited explanatory power, because aphasia is inherently multifactorial both in its neural substrates and in its symptomatology. The purpose of this review is to survey current and emerging multivariate approaches to understanding aphasia. RECENT
findingsTechniques such as factor analysis and principal component analysis have been used to define latent underlying factors that can account for performance on batteries of speech and language tests, and for characteristics of spontaneous speech production. Multivariate lesion-symptom mapping has been shown to outperform univariate approaches to lesion-symptom mapping for identifying brain regions where damage is associated with specific speech and language deficits. It is increasingly clear that structural damage results in functional changes in wider neural networks, which mediate speech and language outcomes. Multivariate statistical approaches are essential for understanding the complex relationships between the neural substrates of aphasia, and resultant profiles of speech and language function.
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