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Functional mapping of language-related areas from natural, narrative speech during awake craniotomy surgery
- Source :
- NeuroImage, Vol 245, Iss, Pp 118720-(2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Accurate localization of brain regions responsible for language and cognitive functions in epilepsy patients is important. Electrocorticography (ECoG)-based real-time functional mapping (RTFM) has been shown to be a safer alternative to electrical cortical stimulation mapping (ESM), which is currently the clinical/gold standard. Conventional methods for analyzing RTFM data mostly account for the ECoG signal in certain frequency bands, especially high gamma. Compared to ESM, they have limited accuracy when assessing channel responses. In the present study, we developed a novel RTFM method based on tensor component analysis (TCA) to address the limitations of current estimation methods. Our approach analyzes the whole frequency spectrum of the ECoG signal during natural continuous speech. We construct third-order tensors that contain multichannel time-frequency information and use TCA to extract low-dimensional temporal, spectral and spatial modes. Temporal modulation scores (correlation values) are then calculated between the time series of voice envelope features and TCA-estimated temporal courses, and significant temporal modulation determines which components' channel weightings are displayed to the neurosurgeon as a guide for follow-up ESM. In our experiments, data from thirteen patients with refractory epilepsy were recorded during preoperative evaluation for their epileptogenic zones (EZs), which were located adjacent to the eloquent cortex. Our results showed higher detection accuracy of our proposed method in a narrative speech task, suggesting that our method complements ESM and is an improvement over the prior RTFM method. To our knowledge, this is the first TCA-based method to pinpoint language-specific brain regions during continuous speech that uses whole-band ECoG.
- Subjects :
- Adult
Male
China
Adolescent
Channel (digital image)
Computer science
Cognitive Neuroscience
Neurosciences. Biological psychiatry. Neuropsychiatry
Signal
Correlation
Component analysis
Modulation (music)
medicine
Humans
Speech
Wakefulness
Child
Electrocorticography
Brain Mapping
Epilepsy
medicine.diagnostic_test
business.industry
Pattern recognition
Cognition
Continuous speech comprehension
ECoG
TCA
Neurology
Child, Preschool
Female
Artificial intelligence
business
Cortical stimulation mapping
Craniotomy
RC321-571
Subjects
Details
- Language :
- English
- ISSN :
- 10959572
- Volume :
- 245
- Database :
- OpenAIRE
- Journal :
- NeuroImage
- Accession number :
- edsair.doi.dedup.....c0432bcd0fd12b466254e76640045a92