Document Detail

Functional connectivity MRI in infants: exploration of the functional organization of the developing brain.
MedLine Citation:
PMID:  21376813     Owner:  NLM     Status:  MEDLINE    
Advanced neuroimaging techniques have been increasingly applied to the study of preterm and term infants in an effort to further define the functional cerebral architecture of the developing brain. Despite improved understanding of the complex relationship between structure and function obtained through these investigations, significant questions remain regarding the nature, location, and timing of the maturational changes which occur during early development. Functional connectivity magnetic resonance imaging (fcMRI) utilizes spontaneous, low frequency (< 0.1 Hz), coherent fluctuations in blood oxygen level dependent (BOLD) signal to identify networks of functional cerebral connections. Due to the intrinsic characteristics of its image acquisition and analysis, fcMRI offers a novel neuroimaging approach well suited to investigation of infants. Recently, this methodology has been successfully applied to examine neonatal populations, defining normative patterns of large-scale neural network development in the maturing brain. The resting-state networks (RSNs) identified in these studies reflect the evolving cerebral structural architecture, presumably driven by varied genetic and environmental influences. Principal features of these investigations and their role in characterization of the tenets of neural network development during this critical developmental period are highlighted in this review. Despite these successes, optimal methods for fcMRI data acquisition and analysis for this population have not yet been defined. Further, appropriate schemes for interpretation and translation of fcMRI results remain unknown, a matter of increasing importance as functional neuroimaging findings are progressively applied in the clinical arena. Notwithstanding these concerns, fcMRI provides insight into the earliest forms of cerebral connectivity and therefore holds great promise for future neurodevelopmental investigations.
Christopher D Smyser; Abraham Z Snyder; Jeffrey J Neil
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Review     Date:  2011-03-03
Journal Detail:
Title:  NeuroImage     Volume:  56     ISSN:  1095-9572     ISO Abbreviation:  Neuroimage     Publication Date:  2011 Jun 
Date Detail:
Created Date:  2011-05-02     Completed Date:  2011-07-25     Revised Date:  2014-09-17    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1437-52     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
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MeSH Terms
Brain / growth & development*,  physiology
Brain Mapping
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Nerve Net / anatomy & histology,  growth & development*,  physiology*
Neural Pathways / anatomy & histology,  growth & development*,  physiology*
Neuronal Plasticity / physiology
Oxygen / blood
Rest / physiology
Grant Support
R01 HD057098/HD/NICHD NIH HHS; R01 HD057098-05/HD/NICHD NIH HHS; R01 HD05709801/HD/NICHD NIH HHS
Reg. No./Substance:

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