Massachusetts General Hospital
Boston, Massachusetts, 02114, United States
Location status: Recruiting
Location contact
Erin Donahue, PhD
CONTACT
Robert M Richardson, MD, PhD
CONTACT
Robert M Richardson, MD, PhD
PRINCIPAL_INVESTIGATOR
NCT Number: NCT05222594
Language is a signature human cognitive skill, but the precise computations that support language understanding remain unknown. This study aims to combine high-quality human neural data obtained through intracranial recordings with advances in computational modeling of human cognition to shed light on the construction and understanding of speech.
Interested in participating?
Request Info18 year–85 year
All sexes
Interventional
Not applicable
Boston, Massachusetts, 02114, United States
Location status: Recruiting
Erin Donahue, PhD
CONTACT
Robert M Richardson, MD, PhD
CONTACT
Robert M Richardson, MD, PhD
PRINCIPAL_INVESTIGATOR
The neural architecture of language is the foundation for the highest form of human interaction. Prior work has identified a network of frontal and temporal brain areas that selectively support language processing, but the precise computations that underlie our ability to extract meaning from sequences of words have remained unknown. The standard approaches in human cognitive neuroscience lack the spatial and temporal resolution necessary for precise comparisons to computational models. To bridge this gap in knowledge, neural responses to language stimuli will be collected from epileptic patients undergoing intracranial monitoring. Overall, these data will be used to identify cortical maps of different linguistic manipulations and to better understand properties of the human language network.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Participants will listen to sentences and stories while neural data are recorded through electrodes placed for clinical purposes.
Time frame: Throughout intracranial monitoring period, up to approximately 10 days
By using sEEG intracranial recordings of the brain, EEG power in frequency bands will reflect cortical maps of responses to different linguistic manipulations, informing the functional organization of the human language system. Power is measured in arbitrary units; higher power reflects greater activity at the investigated frequency.
Time frame: Throughout intracranial monitoring period, up to approximately 10 days
Time-courses of neural response to language across diverse parts of the language network. These data will be used to predict across-time variation in response strength from the properties of linguistic input.
Time frame: Throughout intracranial monitoring period, up to approximately 10 days
Human neural data will be compared to ANN language models to test how well these models predict human responses to language and why. There are no minimum or maximum scores. Higher values mean better model predictivity (i.e., a better match between model representations and neural responses).
Contact information is provided by the study sponsor or research team.
Massachusetts General Hospital
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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