Intrinsic connectivity network mapping in young children during natural sleep

Janessa H. Manning, Eric Courchesne, Peter T Fox

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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 (T2* 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.

Original languageEnglish (US)
Pages (from-to)288-293
Number of pages6
JournalNeuroImage
Volume83
DOIs
StatePublished - Dec 2013

Fingerprint

Sleep
Magnetic Resonance Imaging
Sleep Stages
Cerebrovascular Circulation
Functional Neuroimaging
Eye Movements
Polysomnography
Task Performance and Analysis
Preschool Children
Nervous System Diseases
Neuroimaging
Psychiatry
Noise
Pediatrics

Keywords

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

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Intrinsic connectivity network mapping in young children during natural sleep. / Manning, Janessa H.; Courchesne, Eric; Fox, Peter T.

In: NeuroImage, Vol. 83, 12.2013, p. 288-293.

Research output: Contribution to journalArticle

Manning, Janessa H. ; Courchesne, Eric ; Fox, Peter T. / Intrinsic connectivity network mapping in young children during natural sleep. In: NeuroImage. 2013 ; Vol. 83. pp. 288-293.
@article{527671710ad6477db563cb4185de452a,
title = "Intrinsic connectivity network mapping in young children during natural sleep",
abstract = "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 (T2* 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.",
keywords = "Biomarker, Intrinsic connectivity network, Magnetic resonance imaging, Pediatric, Sleep",
author = "Manning, {Janessa H.} and Eric Courchesne and Fox, {Peter T}",
year = "2013",
month = "12",
doi = "10.1016/j.neuroimage.2013.05.020",
language = "English (US)",
volume = "83",
pages = "288--293",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Intrinsic connectivity network mapping in young children during natural sleep

AU - Manning, Janessa H.

AU - Courchesne, Eric

AU - Fox, Peter T

PY - 2013/12

Y1 - 2013/12

N2 - 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 (T2* 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.

AB - 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 (T2* 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.

KW - Biomarker

KW - Intrinsic connectivity network

KW - Magnetic resonance imaging

KW - Pediatric

KW - Sleep

UR - http://www.scopus.com/inward/record.url?scp=84880939729&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880939729&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2013.05.020

DO - 10.1016/j.neuroimage.2013.05.020

M3 - Article

C2 - 23727317

AN - SCOPUS:84880939729

VL - 83

SP - 288

EP - 293

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -