Proper timing for the evaluation of neonatal brain white matter development: a diffusion tensor imaging study

被引:10
|
作者
Jin, Chao [1 ]
Li, Yanyan [1 ]
Li, Xianjun [1 ]
Wang, Miaomiao [1 ]
Liu, Congcong [1 ]
Gao, Jie [1 ]
Sun, Qinli [1 ]
Qiu, Deqiang [2 ]
Zeng, Lingxia [3 ]
Zhou, Xihui [4 ]
Li, Gailian [4 ]
Zhang, Jinni [5 ]
Zheng, Jie [6 ]
Yang, Jian [1 ]
机构
[1] Xi An Jiao Tong Univ, Dept Radiol, Affiliated Hosp 1, Xian 710061, Shaanxi, Peoples R China
[2] Emory Univ, Dept Radiol & Imaging Sci, Atlanta, GA 30322 USA
[3] Xi An Jiao Tong Univ, Hlth Sci Ctr, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Xian 710054, Shaanxi, Peoples R China
[4] Xi An Jiao Tong Univ, Affiliated Hosp 1, Dept Neonatol, Xian 710061, Shaanxi, Peoples R China
[5] Xi An Jiao Tong Univ, Affiliated Hosp 1, Dept Pediat, Xian 710061, Shaanxi, Peoples R China
[6] Xi An Jiao Tong Univ, Affiliated Hosp 1, Clin Res Ctr, Xian 710061, Shaanxi, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Newborn; White matter; Child development; Diffusion tensor imaging; PRETERM INFANTS; MICROSTRUCTURAL DEVELOPMENT; TERM; NEWBORN; LATERALIZATION; MYELINATION; MATURATION; MRI; AGE;
D O I
10.1007/s00330-018-5665-y
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectiveWe aimed to determine the timing for assessing birth status of the developing brain (i.e. brain maturity at birth) by exploring the postnatal age-related changes in neonatal brain white matter (WM).MethodsThe institutional review board approved this study and all informed parental consents were obtained. 133 neonates (gestational age, 30-42 weeks) without abnormalities on MRI were studied with regard to WM development by diffusion tensor imaging-derived fractional anisotropy (FA). Tract-based spatial statistics (TBSS), locally-weighted scatterplot smoothing (LOESS) and piecewise linear-fitting were used to investigate the relationship between FA and postnatal age. FA along corticospinal tract (CST), optic radiation (OR), auditory radiation (AR) and thalamus-primary somatosensory cortex (thal-PSC) were extracted by automated fibre-tract quantification; their differences and associations with neonatal neurobehavioural scores at various postnatal age ranges were analysed by Wilcoxon's rank-sum test and Pearson's correlation.ResultsUsing TBSS, postnatal age (days 1-28) positively correlated with FA in multiple WMs, including CST, OR, AR and thal-PSC (p<0.05). On the other hand, when narrowing the postnatal age window to days 1-14, no significant correlation was found, suggesting a biphasic WM development. LOESS and piecewise linear-fitting indicated that FA increased mildly before day 14 and its growth accelerated thereafter. Both FA and correlations with neurobehavioural scores in postnatal age range 2 (days 15-28) were significantly higher than in range 1 (days 1-14) (FA comparison: p<0.05; maximal correlation-coefficient: 0.693 vs. 0.169).ConclusionBrain WM development during the neonatal stage includes two phases, i.e. a close-to-birth period within the first 14 days and a following accelerated maturation period. Therefore, evaluations of birth status should preferably be performed during the first period.Key Points center dot Brain white matter development within the first two postnatal weeks resembles a close-to-birth maturation.center dot Brain white matter development in the audio-visual, sensorimotor regions accelerates after two postnatal weeks.center dot Postnatal age-related effects should be considered in comparing preterm and term neonates.
引用
收藏
页码:1527 / 1537
页数:11
相关论文
共 50 条
  • [21] Diffusion Tensor Imaging - Current Possibilities of Brain White Matter Magnetic Resonance Imaging
    Kerkovsky, M.
    Sprlakova-Pukova, A.
    Kasparek, T.
    Fadrus, P.
    Mechl, M.
    Valek, V.
    CESKA A SLOVENSKA NEUROLOGIE A NEUROCHIRURGIE, 2010, 73 (02) : 136 - 142
  • [22] A diffusion tensor imaging comparison of white matter development in nonsyndromic craniosynostosis to neurotypical infants
    Moscarelli, Jake
    Almeida, Mariana N.
    Lacadie, Cheryl
    Hu, Kevin G.
    Ihnat, Jacqueline M. H.
    Parikh, Neil
    Persing, John A.
    Alperovich, Michael
    CHILDS NERVOUS SYSTEM, 2024, 40 (05) : 1477 - 1487
  • [23] Diffusion Tensor Imaging of White Matter Tracts in the Dog Brain
    Jacqmot, Olivier
    Van Thielen, Bert
    Fierens, Yves
    Hammond, Martha
    Willekens, Inneke
    Van Schuerbeek, Peter
    Verhelle, Filip
    Goossens, Peter
    De Ridder, Filip
    Clarys, Jan Pieter
    Vanbinst, Anne
    De Mey, Johan
    ANATOMICAL RECORD-ADVANCES IN INTEGRATIVE ANATOMY AND EVOLUTIONARY BIOLOGY, 2013, 296 (02): : 340 - 349
  • [24] White Matter Heritability Using Diffusion Tensor Imaging in Neonatal Brains
    Geng, Xiujuan
    Prom-Wormley, Elizabeth C.
    Perez, Javier
    Kubarych, Thomas
    Styner, Martin
    Lin, Weili
    Neale, Michael C.
    Gilmore, John H.
    TWIN RESEARCH AND HUMAN GENETICS, 2012, 15 (03) : 336 - 350
  • [25] Diffusion Tensor Imaging for Assessing Brain Gray and White Matter Abnormalities in a Feline Model of α-Mannosidosis
    Kumar, Manoj
    Duda, Jeff T.
    Yoon, Sea Young
    Bagel, Jessica
    O'Donnell, Patricia
    Vite, Charles
    Pickup, Stephen
    Gee, James C.
    Wolfe, John H.
    Poptani, Harish
    JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY, 2016, 75 (01) : 35 - 43
  • [26] MR Diffusion Tensor Imaging: A Window into White Matter Integrity of the Working Brain
    Chanraud, Sandra
    Zahr, Natalie
    Sullivan, Edith V.
    Pfefferbaum, Adolf
    NEUROPSYCHOLOGY REVIEW, 2010, 20 (02) : 209 - 225
  • [27] MR Diffusion Tensor Imaging: A Window into White Matter Integrity of the Working Brain
    Sandra Chanraud
    Natalie Zahr
    Edith V. Sullivan
    Adolf Pfefferbaum
    Neuropsychology Review, 2010, 20 : 209 - 225
  • [28] Intellectual Abilities and White Matter Microstructure in Development: A Diffusion Tensor Imaging Study
    Tamnes, Christian K.
    Ostby, Ylva
    Walhovd, Kristine B.
    Westlye, Lars T.
    Due-Tonnessen, Paulina
    Fjell, Anders M.
    HUMAN BRAIN MAPPING, 2010, 31 (10) : 1609 - 1625
  • [29] Altered white matter integrity in primary restless legs syndrome patients: diffusion tensor imaging study
    Chang, Yongmin
    Paik, Jong Soo
    Lee, Hui Joong
    Chang, Hyuk Won
    Moon, Hye-Jin
    Allen, Richard P.
    Earley, Christopher J.
    Cho, Yong Won
    NEUROLOGICAL RESEARCH, 2014, 36 (08) : 769 - 774
  • [30] Diffusion Tensor Imaging for Understanding Brain Development in Early Life
    Qiu, Anqi
    Mori, Susumu
    Miller, Michael I.
    ANNUAL REVIEW OF PSYCHOLOGY, VOL 66, 2015, 66 : 853 - 876