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PROJECT SUMMARY/ABSTRACT Congenital heart disease is among the most common birth defects, affecting 1-2% of all live births. While surgical advances have dramatically improved survival, many patients face life-long neurological sequelae that substantially reduce quality of life. While postnatal medical factors may influence neurological outcome, recent fetal MRI data suggest that abnormal brain development begins in utero. Furthermore, cerebral dysmaturation at birth predicts neurodevelopmental outcome. In utero neuroprotective therapies may prevent or reduce neurological sequelae for patients with certain forms of congenital heart disease. This proposal investigates factors influencing fetal brain development in congenital heart disease to give insight into ration methods for fetal neuroprotection. The proposal will address three key gaps in current knowledge: (1) the regional specificity and timing of onset of abnormal brain structure in congenital heart disease; (2) the physiological mechanisms that lead to abnormal fetal brain development; and (3) the fetal brain correlates of neurodevelopmental outcome. The study will employ innovative structural MRI techniques to address these aims, harnessing cutting edge MRI processing tools to correct for fetal motion and address one of the major limitations of fetal neuroimaging. Pregnant women will undergo fetal MRI twice during pregnancy, and after birth children will undergo neurodevelopmental testing at two years of age. The findings from this investigation will clarify mechanisms of abnormal brain development in congenital heart disease and inform development of fetal therapies to mitigate the neurological effects of congenital heart disease. This Mentored Patient-Oriented Career Development Award application aligns with the goals of the National Institute of Neurological Disorders and Stroke, as it will clarify abnormal brain development in this population and shed light on potential strategies to protect the brain. The proposal is also designed to provide important opportunities for training and career development to enable the candidate to become an independent investigator addressing neuroprotection in congenital heart disease. Dr. Rollins has experience in using neuroimaging tools to understand abnormalities in brain structure in congenital heart disease, and with this award, she will gain training in 1) advanced MRI techniques through practical laboratory exposure, 2) clinical epidemiology through a formal MPH curriculum, and 3) clinical trial methods. She will benefit from an enormously rich cardioneurology and neuroimaging training environment, where she will develop skills in applying cutting edge neuroimaging technology to answer neurobiological questions. Ultimately, this research proposal and the accompanying training will provide a strong foundation for a successful independent research career devoted to minimizing the neurological sequelae of congenital heart disease.
期刊论文(20)
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Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging.
使用子宫内弥散张量成像对胎儿队列进行特定群体分析。
DOI: 10.1007/978-3-030-00931-1_4
发表时间: 2018
期刊: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子: --
作者: [Khan,Shadab, Rollins,CaitlinK, Ortinau,CynthiaM, Afacan,Onur, Warfield,SimonK, Gholipour,Ali]
通讯作者: Gholipour,Ali
DOI: 10.1002/hbm.25956
发表时间: 2022-10-01
期刊: HUMAN BRAIN MAPPING
影响因子: 4.8
作者: [Bobba, Pratheek S., Weber, Clara F., Mak, Adrian, Mozayan, Ali, Malhotra, Ajay, Sheth, Kevin N., Taylor, Sarah N., Vossough, Arastoo, Grant, Patricia Ellen, Scheinost, Dustin, Constable, Robert Todd, Ment, Laura R., Payabvash, Seyedmehdi]
通讯作者: Payabvash, Seyedmehdi
Tractography of the Cerebellar Peduncles in Second- and Third-Trimester Fetuses.
妊娠中期和晚期胎儿小脑脚的纤维束成像。
DOI: 10.3174/ajnr.a6869
发表时间: 2021
期刊: AJNR. American journal of neuroradiology
影响因子: --
作者: [Machado-Rivas,F, Afacan,O, Khan,S, Marami,B, Rollins,CK, Ortinau,C, Velasco-Annis,C, Warfield,SK, Gholipour,A, Jaimes,C]
通讯作者: Jaimes,C
Learning to segment fetal brain tissue from noisy annotations.
学习从嘈杂的注释中分割胎儿脑组织。
DOI: 10.1016/j.media.2022.102731
发表时间: 2023
期刊: Medical image analysis
影响因子: 10.9
作者: [Karimi,Davood, Rollins,CaitlinK, Velasco-Annis,Clemente, Ouaalam,Abdelhakim, Gholipour,Ali]
通讯作者: Gholipour,Ali
12
    Fetal Brain MRI as a Predictor of Late Neurodevelopmental Outcome in Congenital Heart Disease
    • 批准号:
      10364835
    • 项目类别:
    • 资助金额:
      $46.45万
    • 财政年份:
      2022
    • 负责人:
      Caitlin Rollins
    • 依托单位:
    Fetal Brain MRI as a Predictor of Late Neurodevelopmental Outcome in Congenital Heart Disease
    • 批准号:
      10526433
    • 项目类别:
    • 资助金额:
      $45.71万
    • 财政年份:
      2022
    • 负责人:
      Caitlin Rollins
    • 依托单位:
    海外基金