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Neural Mechanisms of Song vs Speech Production: Insights from Aphasia and Intracranial Recording

歌曲与言语产生的神经机制：失语症和颅内记录的见解

基本信息

批准号：
10648716
负责人：
Nina F. Dronkers
金额：
$ 22.85万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-04-01 至 2025-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10648716
关键词：
Address Affect Aphasia Aphasia Tests Area Behavior Behavioral Behavioral Mechanisms Bilateral Brain Brain Injuries Brain imaging Brain region Broca Aphasia Clinical Communication Complement Dissociation Electroencephalography Epilepsy Excision Fiber Frequencies Impairment Implanted Electrodes Individual Inferior frontal gyrus Knowledge Language Language Therapy Left Lesion Methodology Methods Modality Motor Neuroanatomy Participant Pathway interactions Patients Pattern Performance Persons Population Production Retrieval Site Speech Speech Therapy Standardization Stimulus Structure System Techniques Testing Time cohort gray matter innovation insight lexical retrieval neural neural patterning neuromechanism neurophysiology neurosurgery novel patient population post stroke recruit spatiotemporal stroke survivor stroke-induced aphasia syntax tool tractography white matter

项目摘要

Project Summary/Abstract Despite extensive exploration into the neural mechanisms of language, there is no conclusive explanation for why language expression through song is spared relative to speech in certain individuals with aphasia. To investigate this phenomenon, the current study takes an innovative approach in examining how the brain expresses language through song versus speech. We will define behavioral patterns and the structural and functional neuroanatomy of singing, merging evidence from two distinct patient cohorts and two different methodologies: individuals with post-stroke aphasia (n=30), and neurosurgical patients with implanted electrodes (n=20). Both cohorts will be tested on the same set of speech and language tasks with different processing demands: motor speech, word retrieval, and a sentence priming task. Each task will be presented in both spoken and sung modalities. In participants with aphasia, we will analyze error patterns and inspect damaged neural structures associated with specific performance profiles, while in the neurosurgical cohort, the analysis will shift to temporal dynamics and sites of activity underlying each task. The novel combination of behavioral and lesion analysis in people with aphasia and intracranial electroencephalography (iEEG) in neurosurgical patients will provide unique insights into the behavioral and neural mechanisms of singing. We will first determine which aspects of spoken language are expressed more fluently in song than in speech by people with aphasia with different profiles of impairment. Second, we will identify which gray matter structures and fiber pathways support the ability to produce utterances in song. Contrasting spared and damaged brain areas between those who do better with singing and those who do not will outline regions in the left hemisphere that are critical for sung speech production. Identifying fiber pathways uniquely spared between the two groups will provide further information about which structural connections support sung vs. spoken speech production. Third, we will determine the broadband high-frequency neural activity (HFA; 70-150 Hz) of spoken versus sung language production. We will use iEEG recordings from neurosurgical patients and compare differences in neural activity during singing and speaking as they complete the same three speech and language tasks. This will complement the previous lesion and tractography analyses by also examining right hemisphere regions and intra- and interhemispheric communication between regions involved in spoken and sung language production. Overall, the novel combination of these two methods for investigating song vs speech production using the same set of speech and language tasks has never been accomplished before and will shed new light on the dissociation between these two systems, outlining distinct behavioral patterns, neural mechanisms, and temporal dynamics. The clinical implications are considerable for targeted speech and language therapy for stroke survivors as well as other clinical populations who have language production deficits.

项目总结/文摘