Neuroimaging-Based Brain and Spinal Cord Biomarkers for Cervical Radiculopathy

基于神经影像的脑和脊髓颈神经根病生物标志物

• 批准号: 10472715
• 负责人: Kenneth Arnold Weber
• 金额: $ 17.4万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10472715
• 关键词: Acute Pain; Address; Affect; Age; American; Area; Attention; Award; Base of the Brain; Biological Markers; Brain; Brain Stem; Brain imaging; Cell Nucleus; Cervical Radiculopathies; Cervical nerves; Cervical spinal cord structure; Clinical; Clinical Management; Clinical Research; Computing Methodologies; Data Analyses; Development; Disease; Etiology; Faculty; Failure; Functional disorder; Funding; Goals; Grant; Healthcare Systems; Household; Image; Individual; Investigation; K-Series Research Career Programs; Knowledge; Lead; Left; Link; Magnetic Resonance; Maintenance; Measures; Medical Imaging; Mentors; Methods; Modeling; Motor; Musculoskeletal Pain; Neck; Neuraxis; Neurobiology; Neuronal Plasticity; Neurosciences; Pain; Pain Research; Pain intensity; Pathology; Patient imaging; Patients; Pattern; Peripheral; Plant Roots; Positioning Attribute; Prevalence; Process; Prognostic Factor; Public Health; Randomized Controlled Trials; Recovery; Research; Research Personnel; Research Training; Rest; Role; Sampling; Sensory; Severities; Side; Spinal Cord; Structure; Synaptic Transmission; Techniques; Thalamic structure; Training; Upper Extremity; Work; Writing; base; career development; chronic pain; chronic pain management; chronic pain patient; chronic painful condition; clinical pain; cohort; design; diffusion weighted; disability; falls; improved; in vivo; individualized medicine; innovation; irritation; machine learning prediction; multidisciplinary; neural network; neuroimaging; neurotransmission; novel; pain chronification; pain model; pain reduction; patient oriented research; programs; recruit; relating to nervous system; sex; skills; spinal cord imaging; statistical learning; success; tenure track

Chronic pain is a widespread problem that affects a third of Americans and greatly burdens the health care system. Despite its prevalence, chronic pain remains poorly understood, and the current clinical strategies are minimally effective. The application of advanced neuroimaging techniques to the study of chronic pain has significantly increased our understanding of the brain’s role in the development and maintenance of chronic pain, and through these studies, researchers have uncovered previously unknown neural processes involved in pain chronification. The spinal cord is the caudal extension of the brainstem and is actively involved in the modulation and transmission of neural signals between the body and the brain. Alterations in the neural processing in the spinal cord are also thought to have an integral role in pain chronification. Recent advancements in spinal cord neuroimaging have made the quantitative study of the spinal cord’s role in chronic pain possible. Expanding the neuroimaging-based investigation of chronic pain to the spinal cord will provide a complete perspective of the central processes underlying pain chronification. In this mentored career development award (K23), Dr. Weber will identify, characterize, and longitudinally track neuroimaging-based biomarkers for chronic pain in the brain and spinal cord using cervical radiculopathy as a model condition for chronic pain. Cervical radiculopathy is a common cause of neck and upper limb pain and provides a unique opportunity to scientifically study chronic pain in a homogenous patient sample. In Aims 1 and 2, Dr. Weber will identify differences in the brain and spinal cord networks between patients with chronic pain due to right-sided cervical radiculopathy and age- and sex-matched healthy controls. In Aim 3, clinical measures in the same cohort of cervical radiculopathy patients will be longitudinally tracked at 3, 6, 9, and 12 months after the imaging session, and neuroimaging-based prognostic factors contributing to pain reduction in cervical radiculopathy will be identified. In the same cohort of patients, the imaging will be repeated at 12 months, and the links between the changes in the brain and spinal cord and recovery will be explored. This research will move the pain field forward by further elucidating the neural processes underlying chronic pain and its recovery. Throughout the award period, Dr. Weber will obtain new skills and expertise in conducting clinical studies including randomized controlled trials and applying advanced computational methods to clinical pain research. Additionally, Dr. Weber will gain further training in advanced neuroimaging methods, pain neurobiology, career development, and grant writing. To accomplish the proposed research and training, Dr. Weber has assembled a multi-disciplinary team of world-class mentors who are committed to his success. This training will build on Dr. Weber’s clinical background and doctoral research training in neuroscience and ultimately provide him with the knowledge and skillset to establish an independent research program, in which, he will lead impactful scientific research that intersects neuroimaging and clinical pain research.

慢性疼痛是一个普遍存在的问题，影响了三分之一的美国人，并给医疗保健系统带来了巨大的负担。尽管慢性疼痛很普遍，但人们对其了解仍然很少，目前的临床策略效果甚微。将先进的神经影像技术应用到慢性疼痛的研究中，极大地提高了我们对大脑在慢性疼痛发生和维持中的作用的理解，通过这些研究，研究人员发现了以前未知的参与疼痛时代化的神经过程。脊髓是脑干的尾部延伸，积极参与身体和大脑之间神经信号的调制和传输。脊髓神经处理的改变也被认为在疼痛的时序化中起着不可或缺的作用。脊髓神经成像的最新进展使脊髓在慢性疼痛中的作用的定量研究成为可能。将基于神经影像的慢性疼痛研究扩展到脊髓，将为疼痛慢性化的中枢过程提供一个完整的视角。在这项指导职业发展奖(K23)中，Weber博士将识别、描述和纵向跟踪基于神经成像的脑和脊髓慢性疼痛生物标记物，使用颈神经根病作为慢性疼痛的模型条件。颈神经根病是颈部和上肢疼痛的常见原因，为在同质患者样本中科学研究慢性疼痛提供了独特的机会。在目标1和目标2中，韦伯博士将确定右侧颈神经根病引起的慢性疼痛患者与年龄和性别匹配的健康对照组之间的大脑和脊髓网络的差异。在目标3中，将在影像治疗后3、6、9和12个月对同一组神经根型颈椎病患者的临床措施进行纵向跟踪，并确定有助于神经根型颈椎病疼痛减轻的基于神经影像的预后因素。在同一组患者中，将在12个月时重复成像，并将探索大脑和脊髓的变化与康复之间的联系。这项研究将通过进一步阐明慢性疼痛及其康复的神经过程来推动疼痛领域的发展。在整个获奖期内，韦伯博士将在进行临床研究方面获得新的技能和专业知识，包括随机对照试验和将先进的计算方法应用于临床疼痛研究。此外，韦伯博士还将接受高级神经成像方法、疼痛神经生物学、职业发展和拨款撰写方面的进一步培训。为了完成拟议的研究和培训，韦伯博士组建了一个由世界级导师组成的多学科团队，他们致力于让他取得成功。这项培训将建立在韦伯博士在神经科学方面的临床背景和博士研究培训的基础上，并最终为他提供建立独立研究计划的知识和技能，在该计划中，他将领导交叉神经成像和临床疼痛研究的有影响力的科学研究。

项目成果

New insights into intrinsic foot muscle morphology and composition using ultra-high-field (7-Tesla) magnetic resonance imaging.

• DOI: 10.1186/s12891-020-03926-7
• 发表时间: 2021-01-21
• 期刊: BMC musculoskeletal disorders
• 影响因子: 2.3
• 作者: Franettovich Smith MM;Elliott JM;Al-Najjar A;Weber KA 2nd;Hoggarth MA;Vicenzino B;Hodges PW;Collins NJ
• 通讯作者: Collins NJ

The Problem of Pain in the United States: A Population-Based Characterization of Biopsychosocial Correlates of High Impact Chronic Pain Using the National Health Interview Survey.

美国的疼痛问题：使用国家健康访谈调查对高影响慢性疼痛的生物心理社会相关性进行基于人群的表征。

• DOI: 10.1016/j.jpain.2023.03.008
• 发表时间: 2023
• 期刊: The journal of pain
• 作者: Falasinnu,Titilola;Hossain,MdBelal;Weber2nd,KennethArnold;Helmick,CharlesG;Karim,MohammadEhsanul;Mackey,Sean
• 通讯作者: Mackey,Sean

Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?

• DOI: 10.2519/jospt.2019.8793
• 发表时间: 2019-05-01
• 期刊: JOURNAL OF ORTHOPAEDIC & SPORTS PHYSICAL THERAPY
• 影响因子: 6.1
• 作者: Crawford, Rebecca J.;Fortin, Maryse;Elliott, James M.
• 通讯作者: Elliott, James M.

Lateral Corticospinal Tract and Dorsal Column Damage: Predictive Relationships With Motor and Sensory Scores at Discharge From Acute Rehabilitation After Spinal Cord Injury.

• DOI: 10.1016/j.apmr.2021.07.792
• 发表时间: 2022-01
• 期刊: Archives of physical medicine and rehabilitation
• 影响因子: 4.3
• 作者: Smith AC;O'Dell DR;Albin SR;Berliner JC;Dungan D;Robinson E;Elliott JM;Carballido-Gamio J;Stevens-Lapsley J;Weber KA
• 通讯作者: Weber KA

Generic acquisition protocol for quantitative MRI of the spinal cord.

• DOI: 10.1038/s41596-021-00588-0
• 发表时间: 2021-10
• 期刊: Nature protocols
• 影响因子: 14.8
• 作者: Cohen-Adad J;Alonso-Ortiz E;Abramovic M;Arneitz C;Atcheson N;Barlow L;Barry RL;Barth M;Battiston M;Büchel C;Budde M;Callot V;Combes AJE;De Leener B;Descoteaux M;de Sousa PL;Dostál M;Doyon J;Dvorak A;Eippert F;Epperson KR;Epperson KS;Freund P;Finsterbusch J;Foias A;Fratini M;Fukunaga I;Wheeler-Kingshott CAMG;Germani G;Gilbert G;Giove F;Gros C;Grussu F;Hagiwara A;Henry PG;Horák T;Hori M;Joers J;Kamiya K;Karbasforoushan H;Keřkovský M;Khatibi A;Kim JW;Kinany N;Kitzler H;Kolind S;Kong Y;Kudlička P;Kuntke P;Kurniawan ND;Kusmia S;Labounek R;Laganà MM;Laule C;Law CS;Lenglet C;Leutritz T;Liu Y;Llufriu S;Mackey S;Martinez-Heras E;Mattera L;Nestrasil I;O'Grady KP;Papinutto N;Papp D;Pareto D;Parrish TB;Pichiecchio A;Prados F;Rovira À;Ruitenberg MJ;Samson RS;Savini G;Seif M;Seifert AC;Smith AK;Smith SA;Smith ZA;Solana E;Suzuki Y;Tackley G;Tinnermann A;Valošek J;Van De Ville D;Yiannakas MC;Weber KA 2nd;Weiskopf N;Wise RG;Wyss PO;Xu J
• 通讯作者: Xu J