4.7 Article

Intrinsic connectivity network mapping in young children during natural sleep

Journal

NEUROIMAGE
Volume 83, Issue -, Pages 288-293

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2013.05.020

Keywords

Magnetic resonance imaging; Intrinsic connectivity network; Sleep; Pediatric; Biomarker

Funding

  1. Research Imaging Institute Utilization Review Committee [MRI126]
  2. Palmaz Endowment [48004]
  3. Translational Science Training (TST) Across Disciplines program at the University of Texas Health Science Center at San Antonio
  4. University of Texas System's Graduate Programs Initiative [128223]
  5. NIH [MH074457, MH084812, RR024387]
  6. NIMH Autism Center of Excellence [P50-MH081755]
  7. NIMH [R01-MH036840]

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Structural and functional neuroimaging have substantively informed the pathophysiology of numerous adult neurological and psychiatric disorders. While structural neuroimaging is readily acquired in sedated young children, pediatric application of functional neuroimaging has been limited by the behavioral demands of in-scanner task performance. Here, we investigated whether functional magnetic resonance imaging (fMRI) acquired during natural sleep and without experimental stimulation offers a viable strategy for studying young children. We ' targeted the lengthy epoch of non-rapid eye movement, stage 3 (NREM3) sleep typically observed at sleep onset in sleep-deprived children. Seven healthy, preschool-aged children (24-58 months) were studied, acquiring fMRI measurements of cerebral blood flow (CBF) and of intrinsic connectivity networks (ICNs), with concurrent sleep-stage monitoring. ICN data (12* fMRI) were reliably obtained during NREM3 sleep; CBF data (arterial spin labeled fMRI) were not reliably obtained, as scanner noises disrupted sleep. Applying independent component analysis (ICA) to T2* data, distinct ICNs were observed which corresponded closely with those reported in the adult literature. Notably, a network associated with orthography in adults was not observed, suggesting that ICNs exhibit a developmental trajectory. We conclude that resting-state fMRI obtained in sleep is a promising paradigm for neurophysiological investigations of young children. (C) 2013 Elsevier Inc. All rights reserved.

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