Deep grey matter growth predicts neurodevelopmental outcomes in very preterm children

NeuroImage

Volumn 111, Issue , 2015, Pages 360-368

  Young, Julia M ^a,c   Powell, Tamara L ^a   Morgan, Benjamin R ^a   Card, Dallas ^a   Lee, Wayne ^a   Smith, Mary Lou ^a,c   Sled, John G ^a,b   Taylor, Margot J ^a,c  

^a HOSPITAL FOR SICK CHILDREN   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

Basal ganglia; Cognitive outcome; Magnetic resonance imaging; Neonate; Preterm birth

Indexed keywords

ARTICLE; AUTOMATION; BEHAVIOR; CAUDATE NUCLEUS; COGNITIVE DEFECT; CONTROLLED STUDY; DIFFUSION WEIGHTED IMAGING; EDUCATION; FEMALE; GESTATIONAL AGE; GRAY MATTER; GROWTH RATE; HUMAN; IMAGE ANALYSIS; INTELLIGENCE QUOTIENT; LANGUAGE; MAJOR CLINICAL STUDY; MALE; NERVE CELL DIFFERENTIATION; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PERINATAL CARE; PREMATURITY; PRIORITY JOURNAL; PSYCHOLOGIC ASSESSMENT; PUTAMEN; SCORING SYSTEM; SENSORIMOTOR INTEGRATION; THREE DIMENSIONAL IMAGING; VISUOMOTOR COORDINATION; BASAL GANGLION; CHILD DEVELOPMENT; GROWTH, DEVELOPMENT AND AGING; INTELLIGENCE; PHYSIOLOGY; PRESCHOOL CHILD; PSYCHOMOTOR PERFORMANCE; THALAMUS;

BIOLOGICAL MARKER;

BASAL GANGLIA; BIOMARKERS; CHILD DEVELOPMENT; CHILD, PRESCHOOL; FEMALE; GRAY MATTER; HUMANS; INFANT, EXTREMELY PREMATURE; INFANT, NEWBORN; INTELLIGENCE; LANGUAGE; MAGNETIC RESONANCE IMAGING; MALE; PSYCHOMOTOR PERFORMANCE; THALAMUS;

EID: 84924565318     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.02.030     Document Type: Article

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