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Temporal-spatial mapping of cortical networks important for human cognition

对人类认知很重要的皮质网络的时空映射

基本信息

批准号：
9193656
负责人：
NATHAN E CRONE
金额：
$ 35.44万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-02-01 至 2019-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9193656
关键词：
Address Adverse effects Affect Anatomy Area Behavioral Brain Brain region Clinical Cognition Cognitive Cognitive Science Communities Development Distant Drug resistance Electric Stimulation Electrocorticogram Epilepsy Esthesia Event Evolution Excision Goals Human Impairment Individual Language Language Tests Lesion Link Location Maps Measures Modeling Motor Names Neurobiology Operative Surgical Procedures Outcome Pain Pathway interactions Patient-Focused Outcomes Physiological Postoperative Period Production Reading Recruitment Activity Reporting Risk Role Savings Seizures Series Site Specificity Speech Task Performances Techniques Testing Time Training base brain electrical activity clinical application comparative cortex mapping design improved insight language impairment millisecond network models neuroimaging operation prevent public health relevance relating to nervous system response temporal measurement time use

项目摘要

DESCRIPTION (provided by applicant): To avoid post-operative language impairments after surgery for drug-resistant epilepsy, clinicians rely primarily on electrocortical stimulation mapping (ESM), but this can trigger afterdischarges, clinical seizures, or cause uncomfortable sensations, all of which can prevent mapping in some areas. Moreover, ESM can be very time- consuming and the resulting impairment is usually "all-or-none", complicating its interpretation. These practical limitations have long motivated passive electrocorticography (ECoG) as an alternative, or complementary, functional mapping technique that can map function at all sites simultaneously, resulting in significant time savings without adverse side-effects. Recent technical developments also permit ECoG functional mapping to be performed online during testing, but the correspondence between these results and ESM has not been as good for language mapping as it has been for motor mapping. This may be, in part, because even simple language tasks such as object naming or word reading require the recruitment and interaction of widely distributed and potentially redundant cortical areas responsible for different stages of cognitive processing, and because there is no a priori threshold for a magnitude of activation critically important for task performance.. Our overall hypothesis is that the functional importance of a cortical site depends on its role in task-related network dynamics, i.e. the propagation of activation between distributed cortical regions performing the distinct cognitive operations necessary for successful task performance. In this project we will study the task-related network dynamics of spoken word production in order to improve the accuracy of ECoG language maps and to better understand the relationship between ECoG and ESM language maps. First, we will use ECoG to capture the fine temporal dynamics of network propagation during a series of simple word production tasks. We will decompose these network dynamics into temporally cascaded subnets corresponding to functional-anatomical modules responsible for each task's constitutive cognitive operations. In addition, we will identify high centrality noes that serve as hubs facilitating propagation across subnets. Second, we will test these ECoG models of task-specific network dynamics by temporarily deactivating the hubs of high efficiency pathways linking subnets. We will test the effect of this deactivation on verbal latency and accuracy using much briefer (200- 400 ms) stimulation trains than those used during routine clinical ESM (2-5 seconds). This will also test the feasibility of performing ESM with a lower risk of afterdischarges and seizures, and with greater functional specificity. Third, we will compare both ECoG network mapping and ESM to ground-truth post-operative language outcomes in order to comparatively assess their predictive abilities. Although the immediate goal of these studies is to gain deeper insights into the cortical network dynamics of spoken word production and how they are affected by ESM, these studies will exert their most profound and lasting impact by improving the clinical utility of ECoG for both extraoperative and intraoperative functional mapping prior to respective surgery.