Resting-State Network Complexity and Magnitude Are Reduced in Prematurely Born Infants

Cerebral Cortex

Volumn 26, Issue 1, 2016, Pages 322-333

  Smyser, Christopher D ^a   Snyder, Abraham Z ^a,b   Shimony, Joshua S ^b   Mitra, Anish ^b   Inder, Terrie E ^c   Neil, Jeffrey J ^d  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

^d BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

developmental neuroimaging; functional MRI; infant; prematurity; resting state networks

Indexed keywords

ARTICLE; BOLD SIGNAL; BRAIN MAPPING; CEREBELLUM; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; GESTATIONAL AGE; HUMAN; INFANT; MALE; PREMATURE LABOR; PREMATURITY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RESTING STATE NETWORK; SUPPLEMENTARY MOTOR AREA; THALAMUS; TIME SERIES ANALYSIS; BRAIN; CHILD; GROWTH, DEVELOPMENT AND AGING; NERVE CELL NETWORK; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PREGNANCY;

BRAIN; CHILD; FEMALE; GESTATIONAL AGE; HUMANS; INFANT; INFANT, NEWBORN; INFANT, PREMATURE; MAGNETIC RESONANCE IMAGING; NERVE NET; PREGNANCY;

EID: 84959862808     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bhu251     Document Type: Article

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