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Decoding speech intent from non-frontal cortical areas.

Prashanth Ravi Prakash1, Tianhao Lei2, Robert D Flint2

  • 1Departments of Biomedical Engineering, Northwestern University, Chicago, IL 60611, United States of America.

Journal of Neural Engineering
|January 14, 2025
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Summary
This summary is machine-generated.

Researchers found speech intent signals in the temporal and parietal cortices, expanding possibilities for brain-machine interfaces (BMIs). This discovery could help individuals with speech production impairments, including those with frontal lobe damage.

Keywords:
aphasiabrain computer interfacebrain machine interfaceselectrocorticographyspeech intentspeech productionstereoencephalography

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Speech Science

Background:

  • Current speech brain-machine interfaces (BMIs) primarily decode signals from speech motor cortices in the frontal lobe.
  • Limited research suggests potential utility of signals from temporal and parietal lobes for BMIs.
  • Damage to the frontal lobe can cause severe speech production deficits, limiting current BMI applications.

Purpose of the Study:

  • To investigate the presence, timing, and location of neural signals related to speech intent in the temporal and parietal cortices.
  • To determine if these signals are associated with speech production rather than just perception or comprehension.
  • To assess the potential of these signals for enhancing speech BMIs, especially for individuals with frontal lobe damage.

Main Methods:

  • Utilized intracranial recordings to capture neural activity across temporal and parietal cortices.
  • Employed causal information analysis to differentiate speech intent from resting states and other cognitive processes (e.g., comprehension, working memory).
  • Analyzed the spatial distribution and temporal dynamics of neural signals to link them to speech production.

Main Results:

  • Successfully distinguished speech intent from resting states and other language-related processes using causal information.
  • Identified widespread distribution of speech intent-related information across the temporal and parietal lobes.
  • Specific regions showing significant signals included the superior temporal gyrus, medial temporal lobe, angular gyrus, and supramarginal gyrus.

Conclusions:

  • The temporal and parietal cortices contain causally decodable neural information related to speech production intent.
  • This information can be detected prior to voice onset, offering a new avenue for BMI development.
  • Findings suggest that speech BMIs can be improved and expanded to include patients with frontal lobe damage.