Comprehensive pre-surgical identification of the critical language network in tumor patients

肿瘤患者关键语言网络的术前综合识别

• 批准号: 10824160
• 负责人: Monika Maria Polczynska
• 金额: $ 7.54万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10824160
• 关键词: Address; Affect; Anatomy; Aphasia; Architecture; Area; Brain; Brain Injuries; Brain Neoplasms; Brain region; California; Characteristics; Clinical; Compensation; Data; Diffusion Magnetic Resonance Imaging; Doctor of Philosophy; Environment; Evaluation; Excision; Faculty; Foundations; Functional Magnetic Resonance Imaging; Future; Goals; Human; Image; Imaging Techniques; Inferior; Inferior frontal gyrus; Knowledge; Language; Language Disorders; Language Tests; Learning; Left; Length; Lesion; Linguistics; Lobule; Location; Los Angeles; Magnetic Resonance Imaging; Maps; Mentored Research Scientist Development Award; Mentors; Methods; Modeling; Names; National Institute on Deafness and Other Communication Disorders; Neuroanatomy; Neuronal Plasticity; Operative Surgical Procedures; Parietal; Pathologic; Patients; Pattern; Persons; Population; Process; Public Health; Reaction; Recovery of Function; Rehabilitation therapy; Reporting; Research; Research Personnel; Rest; Risk; Semantics; Site; Strategic Planning; Structure; System; Techniques; Test Result; Testing; Training; Training and Education; Universities; Work; behavior test; brain surgery; career; career development; design; disability; experimental study; imaging modality; innovation; language impairment; neural; neuroimaging; neurosurgery; prevent; research and development; response; statistics; tumor

Project Summary This is a K01 application for Monika M. Polczynska, Ph.D., a current junior faculty at the University of California Los Angeles, to become an independent investigator and leader in the field of clinical language mapping. The five-year K01 award will provide Dr. Polczynska with the necessary training in (1) designing and optimizing functional MRI experiments, (2) approaches to analyzing functional connectivity data and (3) the structural analysis of the brain. Environment: Experts in cutting-edge methods in functional and structural neuroimaging, imaging statistics and neurolinguistics will serve as Mentors: Drs. Susan Bookheimer, Martin Monti, David Shattuck and Ariana Anderson, and Consultants: Drs. Tim Behrens, Nina Dronkers and Susan Curtiss. Research and Career Development: Studies in neurosurgical language mapping have primarily focused on language evaluations at a word level and they have ignored the following: (1) a broader neural configuration of language function based on grammar, (2) right hemisphere contributions that could be critical to rehabilitation and (3) network connectivity, treating language regions as isolated units rather than nodes of the network. The objective of the study is to comprehensively identify the language network in surgical candidates with brain tumor by addressing the three gaps. It is hypothesized that applying both grammar tests and standard single- word based tests and using mixed methods (advanced neuroimaging techniques and behavioral tests) will allow for a more comprehensive mapping of the crucial language regions and important connections between them. The proposed study will fulfill three specific aims: (1) Create an optimized fMRI battery of grammar assessment to maximally identify the critical language network in healthy subjects (N=25), (2) Model how a brain tumor affects structural and functional connectivity of the critical language network; subjects: 40 patients with brain tumor neighboring the left inferior frontal gyrus (N=20) and posterior temporo-parietal regions (N=20) and 24 matched controls and (3) Examine the effect of lesions in the frontal versus posterior language areas on structural and functional connectivity within the left and the right hemisphere. The approach is innovative because it will be the first attempt, to our knowledge, to augment our understating of altered connectivity patterns in the brain tumor population, including hyperconnectivity in the RH. The study is significant because it will help establish the crucial functional and structural anatomy of the language network in patients with brain tumors in specific locations. The study will be a fundamental step in advancing the comprehensiveness and depth of pre-surgical language mapping. The proposed research aligns directly with the 2017 NIDCD Strategic Plan to focus on changes in the structure and function of the brain following a pathologic insult that results in language disturbances. Results will support a future R01 focused on the compensatory system and rehabilitation. This research will lay the foundation for Dr. Polczynska’s career as a leading expert in clinical language mapping.

项目摘要 这是莫妮卡·M的K 01申请Polczynska博士，现任加州大学初级教员 洛杉矶，成为临床语言映射领域的独立调查员和领导者。的 为期五年的K 01奖将为Polczynska博士提供以下方面的必要培训：（1）设计和优化 功能性MRI实验，（2）分析功能连接数据的方法和（3）结构 分析大脑。环境：功能和结构神经成像尖端方法的专家， 影像统计学和神经语言学将担任导师：苏珊·布克海默博士，马丁·蒙蒂博士，大卫博士 Shattuck和Ariana安德森，和顾问：博士蒂姆贝伦斯，尼娜Dronkers和苏珊柯蒂斯。 研究和职业发展：神经外科语言映射的研究主要集中在 语言评估在一个词的水平，他们忽略了以下几点：（1）更广泛的神经结构， 基于语法的语言功能，（2）对康复至关重要的右半球贡献 （3）网络连通性，将语言区域视为孤立的单元而不是网络的节点。的 本研究的目的是全面了解脑肿瘤外科候选人的语言网络 解决这三个差距。假设同时应用语法测试和标准单字测试 基于测试和使用混合方法（先进的神经成像技术和行为测试）将允许 更全面地描绘关键语言区域及其之间的重要联系。的 这项研究将实现三个具体目标：（1）创建一个优化的功能磁共振成像语法评估电池， 最大限度地识别健康受试者中的关键语言网络（N=25），（2）模拟脑肿瘤如何影响 关键性语言网络的结构和功能连接;对象：40例脑肿瘤患者 邻近左额下回（N=20）和后颞顶区（N=20）和24匹配 （3）检查额叶与后部语言区病变对结构和功能的影响。 左右半球的功能连接。这种方法是创新的，因为它将是 据我们所知，这是第一次尝试，以增强我们对脑肿瘤中改变的连接模式的理解。 人口，包括RH中的超连通性。这项研究意义重大，因为它将有助于建立关键的 特定部位脑肿瘤患者语言网络的功能和结构解剖。的 研究将是推进术前语言的全面性和深度的基础性步骤 映射.拟议的研究与2017年NIDCD战略计划直接一致，重点关注 在导致语言障碍的病理性损伤后大脑的结构和功能。结果将 支持未来的R 01侧重于补偿系统和康复。这项研究将奠定 Polczynska博士作为临床语言映射领先专家的职业生涯的基础。

项目成果

General principles governing the amount of neuroanatomical overlap between languages in bilinguals.

• DOI: 10.1016/j.neubiorev.2021.08.005
• 发表时间: 2021-11
• 期刊: Neuroscience and biobehavioral reviews
• 影响因子: 8.2
• 作者: Połczyńska MM;Bookheimer SY
• 通讯作者: Bookheimer SY

Grey Matter Reshaping of Language-Related Regions Depends on Tumor Lateralization.

• DOI: 10.3390/cancers15153852
• 发表时间: 2023-07-28
• 期刊: Cancers
• 影响因子: 5.2

Letter to the Editor. The weight of functional MRI to predict surgery-induced risk after tumor resection: enough to be safe?

给编辑的一封信。

• DOI: 10.3171/2022.1.jns22119
• 发表时间: 2022
• 期刊: Journal of neurosurgery
• 影响因子: 4.1
• 作者: Buscemi,Felice;Giammalva,GiuseppeRoberto;Gerardi,RosaMaria;Iacopino,DomenicoGerardo;Maugeri,Rosario
• 通讯作者: Maugeri,Rosario

Tumor location and reduction in functional MRI estimates of language laterality.

• DOI: 10.3171/2020.9.jns202036
• 发表时间: 2021-12-01
• 期刊: Journal of neurosurgery
• 影响因子: 4.1
• 作者: Połczyńska MM;Beck L;Kuhn T;Benjamin CF;Ly TK;Japardi K;Cavanagh L;Bookheimer SY
• 通讯作者: Bookheimer SY

Assessment of grammar optimizes language tasks for the intracarotid amobarbital procedure.

语法评估可优化颈动脉内异戊巴比妥手术的语言任务。

• DOI: 10.1016/j.yebeh.2017.08.020
• 发表时间: 2017
• 期刊: Epilepsy & behavior : E&B
• 作者: Połczyńska,Monika;Kuhn,Taylor;You,SChristine;Walshaw,Patricia;Curtiss,Susan;Bookheimer,Susan
• 通讯作者: Bookheimer,Susan