دورية أكاديمية
Diffuse white matter abnormality in very preterm infants at term reflects reduced brain network efficiency.
العنوان: | Diffuse white matter abnormality in very preterm infants at term reflects reduced brain network efficiency. |
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المؤلفون: | Kline JE; Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States., Illapani VSP; Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States., Li H; Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States., He L; Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States., Yuan W; Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States., Parikh NA; Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States; Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States. Electronic address: Nehal.Parikh@cchmc.org. |
المصدر: | NeuroImage. Clinical [Neuroimage Clin] 2021; Vol. 31, pp. 102739. Date of Electronic Publication: 2021 Jun 25. |
نوع المنشور: | Journal Article; Research Support, N.I.H., Extramural |
اللغة: | English |
بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101597070 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2213-1582 (Electronic) Linking ISSN: 22131582 NLM ISO Abbreviation: Neuroimage Clin Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: [Amsterdam] : Elsevier |
مواضيع طبية MeSH: | Infant, Premature, Diseases* , White Matter*/diagnostic imaging, Brain/diagnostic imaging ; Humans ; Infant ; Infant, Newborn ; Infant, Premature ; Magnetic Resonance Imaging |
مستخلص: | Between 50 and 80% of very preterm infants (<32 weeks gestational age) exhibit increased white matter signal intensity on T2-weighted MRI at term-equivalent age, known as diffuse white matter abnormality (DWMA). A few studies have linked DWMA with microstructural abnormalities, but the exact relationship remains poorly understood. We related DWMA extent to graph theory measures of network efficiency at term in a representative cohort of 343 very preterm infants. We performed anatomic and diffusion MRI at term and quantified DWMA volume with our novel, semi-automated algorithm. From diffusion-weighted structural connectomes, we calculated the graph theory metrics local efficiency and clustering coefficient, which measure the ability of groups of nodes to perform specialized processing, and global efficiency, which assesses the ability of brain regions to efficiently combine information. We computed partial correlations between these measures and DWMA volume, adjusted for confounders. Increasing DWMA volume was associated with decreased global efficiency of the entire very preterm brain and decreased local efficiency and clustering coefficient in a variety of regions supporting cognitive, linguistic, and motor function. We show that DWMA is associated with widespread decreased brain network efficiency, suggesting that it is pathologic and likely has adverse developmental consequences. (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.) |
معلومات مُعتمدة: | R01 EB029944 United States EB NIBIB NIH HHS; R01 NS094200 United States NS NINDS NIH HHS; R01 NS096037 United States NS NINDS NIH HHS; R21 HD094085 United States HD NICHD NIH HHS |
فهرسة مساهمة: | Keywords: Diffuse white matter abnormality; Graph theory; Very preterm; diffusion MRI |
تواريخ الأحداث: | Date Created: 20210708 Date Completed: 20210913 Latest Revision: 20210913 |
رمز التحديث: | 20221213 |
مُعرف محوري في PubMed: | PMC8378797 |
DOI: | 10.1016/j.nicl.2021.102739 |
PMID: | 34237685 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2213-1582 |
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DOI: | 10.1016/j.nicl.2021.102739 |