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Functional connectivity in the human language system: a cortico-cortical evoked potential study
Riki Matsumoto1, Dileep R Nair, Eric LaPresto
1Department of Neurology, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
Brain : a Journal of Neurology
|July 23, 2004
Summary
This study introduces cortico-cortical evoked potentials (CCEPs) to map human brain connectivity for language. CCEPs reveal bidirectional connections between language areas, challenging older models and suggesting a broader language network.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neurology
Background:
- Understanding higher cortical functions necessitates detailed knowledge of neuronal connectivity.
- Existing methods for tracking in vivo neuronal connectivity in humans are limited.
- The human language system relies on complex inter-areal connections.
Purpose of the Study:
- To investigate in vivo inter-areal connections within the human language system.
- To introduce and validate a novel method: cortico-cortical evoked potentials (CCEPs).
- To explore the network properties of language areas, including Broca's and Wernicke's areas.
Main Methods:
- Utilized invasive electrocorticography (ECoG) monitoring in eight epilepsy patients.
- Applied single-pulse electrical stimulation to anterior language, posterior language, or face motor areas.
- Recorded and averaged CCEPs time-locked to stimuli to map functional connectivity.
Main Results:
- Stimulation of the anterior language area elicited CCEPs in the lateral temporo-parietal region.
- Bidirectional CCEPs were observed between anterior (Broca's) and posterior (Wernicke's) language areas.
- CCEPs indicated a broader neuronal network than previously defined language regions.
Conclusions:
- Perisylvian and extrasylvian language areas function as a network with feed-forward and feed-back projections.
- Demonstrated bidirectional connectivity between Broca's and Wernicke's areas, likely via the arcuate fasciculus.
- The novel CCEPs method effectively maps in vivo human brain connectivity for language functions.