Nutritive sucking abnormalities and brain microstructural abnormalities in infants with established brain injury: a pilot study

被引:9
作者
Tamilia, Eleonora [1 ,2 ]
Parker, Marianna S. [3 ]
Rocchi, Maria [1 ,2 ]
Taffoni, Fabrizio [4 ]
Hansen, Anne [3 ]
Grant, P. Ellen [2 ]
Papadelis, Christos [1 ,2 ,5 ]
机构
[1] Harvard Med Sch, Lab Childrens Brain Dynam, Div Newborn Med, Boston Childrens Hosp, Boston, MA 02115 USA
[2] Harvard Med Sch, Fetal Neonatal Neuroimaging & Dev Sci Ctr, Div Newborn Med, Boston Childrens Hosp, Boston, MA 02115 USA
[3] Harvard Med Sch, Div Newborn Med, Boston Childrens Hosp, Boston, MA 02115 USA
[4] Univ Campus Biomed Roma, Lab Biomed Robot & Biomicrosyst, Rome, Italy
[5] Cook Childrens Hlth Care Syst, Jane & John Justin Neurosci Ctr, Ft Worth, TX 76104 USA
关键词
HOSPITAL DISCHARGE; FEEDING PROBLEMS; CORPUS-CALLOSUM; PRETERM INFANTS; CEREBRAL-PALSY; TRACTOGRAPHY; PERFORMANCE; CHILDREN; BEHAVIOR; CORTEX;
D O I
10.1038/s41372-019-0479-6
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective To determine the relationship between nutritive sucking and microstructural integrity of sensorimotor tracts in newborns with brain injury. Study design Diffusion imaging was performed in ten newborns with brain injury. Nutritive sucking was assessed using Nfant (R). The motor, sensory, and corpus callosum tracts were reconstructed via tractography. Fractional anisotropy, radial, axial, and mean diffusivity were estimated for these tracts. Multiple regression models were developed to test the association between sucking features and diffusion parameters. Results Low-sucking smoothness correlated with low-fractional anisotropy of motor tracts (p = 0.0096). High-sucking irregularity correlated with high-mean diffusivity of motor (p = 0.030) and corpus callosum tracts (p = 0.032). For sensory tracts, high-sucking irregularity (p = 0.018) and low-smoothness variability (p = 0.002) correlated with high-mean diffusivity. Interpretation We show a correlation between neuroimaging-demonstrated microstructural brain abnormalities and variations in sucking patterns of newborns. The consistency of this relationship should be shown on larger cohorts.
引用
收藏
页码:1498 / 1508
页数:11
相关论文
共 43 条
  • [1] Maturation of oral feeding skills in preterm infants
    Amaizu, N.
    Shulman, R. J.
    Schanler, R. J.
    Lau, C.
    [J]. ACTA PAEDIATRICA, 2008, 97 (01) : 61 - 67
  • [2] On the analysis of movement smoothness
    Balasubramanian, Sivakumar
    Melendez-Calderon, Alejandro
    Roby-Brami, Agnes
    Burdet, Etienne
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2015, 12
  • [3] BANCROFT TA, 1977, INT STAT REV, V45, P117
  • [4] Feeding Problems in Children With Neonatal Arterial Ischemic Stroke
    Barkat-Masih, Monica
    Saha, Chandan
    Hamby, Deborah K.
    Ofner, Susan
    Golomb, Meredith R.
    [J]. JOURNAL OF CHILD NEUROLOGY, 2010, 25 (07) : 867 - 872
  • [5] Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
    Behrens, T. E. J.
    Berg, H. Johansen
    Jbabdi, S.
    Rushworth, M. F. S.
    Woolrich, M. W.
    [J]. NEUROIMAGE, 2007, 34 (01) : 144 - 155
  • [6] Quantitative diffusion tensor MRI fiber tractography of sensorimotor white matter development in premature infants
    Berman, JI
    Mukherjee, P
    Partridge, SC
    Miller, SP
    Ferriero, DM
    Barkovich, AJ
    Vigneron, DB
    Henry, RG
    [J]. NEUROIMAGE, 2005, 27 (04) : 862 - 871
  • [7] A systematic review of clinical and psychometric properties of infant oral motor feeding assessments
    Bickell, Michelle
    Barton, Courtney
    Dow, Kim
    Fucile, Sandra
    [J]. DEVELOPMENTAL NEUROREHABILITATION, 2018, 21 (06) : 351 - 361
  • [8] Eating as a Neurodevelopmental Process for High-Risk Newborns
    Browne, Joy V.
    Sundseth, Erin
    [J]. CLINICS IN PERINATOLOGY, 2011, 38 (04) : 731 - +
  • [9] Quantization of human motions and learning of accurate movements
    Burdet, E
    Milner, TE
    [J]. BIOLOGICAL CYBERNETICS, 1998, 78 (04) : 307 - 318
  • [10] Burdet E., 2013, Human Robotics: Neuromechanics and Motor Control