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Related Concept Videos

Brain Waves01:23

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

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Related Experiment Video

Updated: Jun 8, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Developmental changes in brain connectivity assessed using the sleep EEG.

L Tarokh1, M A Carskadon, P Achermann

  • 1E.P. Bradley Sleep Research Laboratory, Providence, RI 02906, USA. Leila_Tarokh@brown.edu

Neuroscience
|September 14, 2010
PubMed
Summary
This summary is machine-generated.

Brain connectivity strengthens during adolescence, with sleep electroencephalography (EEG) showing increased coherence. This study tracked children and teens, revealing developmental changes in neural networks during sleep.

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Last Updated: Jun 8, 2026

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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Sleep Science

Background:

  • Adolescence involves significant cortical restructuring and synaptic pruning.
  • Neural network connections are thought to strengthen with use during this period.

Purpose of the Study:

  • To investigate the developmental changes in brain region connectivity.
  • To utilize sleep electroencephalography (EEG) to measure these maturational shifts.

Main Methods:

  • Analysis of all-night sleep EEG recordings from longitudinal cohorts (children, teens) and a cross-sectional adult cohort.
  • Measurement of intrahemispheric, interhemispheric, and diagonal coherence across central and occipital derivations.
  • Within-subjects and linear regression analyses performed across different sleep stages (slow wave, stage 2, REM).

Main Results:

  • A maturational increase in coherence was observed in both child and teen cohorts.
  • Linear regression revealed an overall increase in intrahemispheric coherence across all sleep states and frequencies.
  • Coherence between diagonal electrode pairs increased linearly during stage 2 and REM sleep, with no significant trend in interhemispheric coherence.

Conclusions:

  • Sleep EEG coherence increases with age, indicating developmental changes in brain maturation.
  • These increases are specific to certain brain regions and sleep states.
  • Sleep EEG is a valuable tool for assessing developmental changes in brain connectivity.