Evidence map›Paper›PMID 24418219›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2014

The maturation of cortical sleep rhythms and networks over early development.

C J Chu, J Leahy, J Pathmanathan, M A Kramer, S S Cash

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Delta power robustly predicts cognitive function in Angelman syndrome.Annals of clinical and translational neurology · 2021
    Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Infant sleep spindle measures from EEG improve prediction of cerebral palsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

C J ChuDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02144, USA; Harvard Medical School, Boston, MA 02144, USA. Electronic address: cjchu@hms.harvard.edu.
J LeahyDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02144, USA.
J PathmanathanDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02144, USA; Harvard Medical School, Boston, MA 02144, USA.
M A KramerDepartment of Mathematics and Statistics, Boston University, Boston, MA 02215, USA.
S S CashDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02144, USA; Harvard Medical School, Boston, MA 02144, USA.

Funding

Neurophysiology of Human Cortical EpilepsyR01NS062092 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2010 to 2021
$4.7M
Pediatric Neurology Physician Scientist Program.K12NS066225 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI STALEY, KEVIN J. · 2011 to 2015
$1.6M
Neurophysiology of Human Cortical EpilepsyR56NS062092 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2017 to 2017
$608k
NINDS NIH HHS K12 NS066225NINDS NIH HHS NS062092NINDS NIH HHS R01 NS062092NINDS NIH HHS R56 NS062092
6 · The paper itself

Abstract

objectiveAlthough neuronal activity drives all aspects of cortical development, how human brain rhythms spontaneously mature remains an active area of research. We sought to systematically evaluate the emergence of human brain rhythms and functional cortical networks over early development.

methodsWe examined cortical rhythms and coupling patterns from birth through adolescence in a large cohort of healthy children (n=384) using scalp electroencephalogram (EEG) in the sleep state.

resultsWe found that the emergence of brain rhythms follows a stereotyped sequence over early development. In general, higher frequencies increase in prominence with striking regional specificity throughout development. The coordination of these rhythmic activities across brain regions follows a general pattern of maturation in which broadly distributed networks of low-frequency oscillations increase in density while networks of high frequency oscillations become sparser and more highly clustered.

conclusionOur results indicate that a predictable program directs the development of key rhythmic components and physiological brain networks over early development. SIGNIFICANCE: This work expands our knowledge of normal cortical development. The stereotyped neurophysiological processes observed at the level of rhythms and networks may provide a scaffolding to support critical periods of cognitive growth. Furthermore, these conserved patterns could provide a sensitive biomarker for cortical health across development.

Indexed as

ElectroencephalographyAdolescentAnalysis of VarianceBrain MappingCerebral CortexChildChild, PreschoolCircadian RhythmElectrooculographyFemaleHumansInfantInfant, NewbornMaleNerve NetNeural Networks, ComputerBrain networksBrain rhythmsDevelopmentEEGFunctional connectivitySleep

Identifiers

PMID24418219
PMCPMC4035415

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.