ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2019
Predicting naming responses based on pre-articulatory electrical activity in individuals with aphasia.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Aberrant modulation of broadband neural oscillations reflects vocal sensorimotor deficits in post-stroke aphasia.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Aberrant beta-band brain connectivity predicts speech motor planning deficits in post-stroke aphasia.Cortex; a journal devoted to the study of the nervous system and behavior · 2022Article
- Structural disconnection of the posterior medial frontal cortex reduces speech error monitoring.NeuroImage. Clinical · 2022Article
- Machine learning models in post-stroke aphasia: a scoping review.Frontiers in neurologyReview
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Authors and funding
8 authors.
Funding
Abstract
objectiveTo investigate whether pre-articulatory neural activity could be used to predict correct vs. incorrect naming responses in individuals with post-stroke aphasia.
methodsWe collected 64-channel high density electroencephalography (hdEEG) data from 5 individuals with chronic post-stroke aphasia (2 female/3 male, median age: 54 years) during naming of 80 concrete images. We applied machine learning on continuous wavelet transformed hdEEG data separately for alpha and beta energy bands (200 ms pre-stimulus to 1500 ms post-stimulus, but before articulation), and determined whether electrode/time-range/energy (ETE) combinations were predictive of correct vs incorrect responses for each participant.
resultsThe five participants correctly named between 30% and 70% of the 80 stimuli correctly. We observed that pre-articulatory scalp EEG ETE combinations could predict correct vs incorrect responses with accuracies ranging from 63% to 80%. For all but one participant, the prediction accuracies were statistically better than chance.
conclusionsOur findings indicate that pre-articulatory neural activity may be used to predict correct vs incorrect naming responses for some individuals with aphasia. SIGNIFICANCE: The individualized pre-articulatory neural pattern associated with correct naming responses could be used to both predict naming problems in aphasia and lead to the development of brain stimulation strategies for treatment.
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Registered trials
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