Effective Connectivity Study Guiding the Neuromodulation Intervention in Figurative Language Comprehension Using...

Area of Science:

• Neuroscience
• Cognitive Science
• Biomedical Engineering

Background:

• Understanding brain network connectivity is crucial for diagnosing and treating language disorders.
• Neural plasticity studies often lack direct links to network examination methods.
• Optical neuroimaging techniques like fNIRS offer non-invasive ways to study brain activity.

Purpose of the Study:

• To establish links between brain network examination and neural plasticity using optical neuroimaging.
• To test the Granger Prediction Estimation (GPE) method for investigating brain network connectivity during figurative language comprehension.
• To map causal relationships in language brain networks for potential neuromodulation interventions.

Main Methods:

• Recruited 16 healthy subjects from the University of Macau.
• Utilized functional near-infrared spectroscopy (fNIRS) to capture brain activity.
• Applied the Granger Prediction Estimation (GPE) method to analyze fNIRS data, defining ROIs, inspecting causal relationships, and identifying intervention targets.

Main Results:

• Identified top-down mechanisms in the left anterior frontal cortex for perceptive-attention during semantic integration.
• Observed bottom-up mechanisms in the right hemispheres during figurative language processing.
• Found evidence of interhemispheric flow, with the right hemisphere decoding unfamiliar sentences and the left hemisphere guiding integration to reduce ambiguity.

Conclusions:

• The Granger Prediction Estimation (GPE) integrated strategy effectively links assessment and intervention for language disorders.
• This approach enhances treatment efficiency and potentially reduces neuromodulation side effects.
• The study provides insights into the neural mechanisms underlying figurative and literal language comprehension.