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1 Numbers reported are subjects by age
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Format should be in the following format: Activity Code, Institute Abbreviation, and Serial Number. Grant Type, Support Year, and Suffix should be excluded. For example, grant 1R01MH123456-01A1 should be entered R01MH123456

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SelectExperiment IdExperiment NameExperiment Type
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  • EEG
  • EGG
  • Eye Tracking
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  • fMRI
Created On
884Plasma metabolic profileOmics02/05/2018
878Social Challenge AssessmentEye Tracking01/26/2018
876Mixed Anti and Pro (vgs) saccade mixed blocked eye trackingEye Tracking01/22/2018
875Attention modulation taskEye Tracking01/17/2018
874ruthldopa resting 17 and 18fMRI01/16/2018
873ruthldopa resting 15 and 16fMRI01/16/2018
872ruthldopa resting 13 and 14fMRI01/16/2018
871ruthldopa resting 11 and 12fMRI01/16/2018
870Resting State fMRIfMRI01/12/2018
867Velten Mood Induction State-ItemfMRI01/12/2018
866Emotional Hemifield Task (EHT)EEG01/12/2018
865Genome EditingOmics01/12/2018
855Regulating Emotional Responses to Visual Images Across the Affective Instability SpectrumfMRI01/12/2018
853R61 Ezogabine Resting State FMRIfMRI01/11/2018
852Paired AssociatesfMRI01/11/2018
850Reward ProcessingfMRI01/11/2018
849Resting EEG (1024 samples/s)EEG01/11/2018
845Fast face -1 runfMRI01/10/2018
843RTT AHA-1Omics01/09/2018
84230 words (simultaneous fMRI and EEG acquisition)EEG01/08/2018
841Neural Correlates of Episodic Retrieval fMRI01/08/2018
84030 words (simultaneous fMRI and EEG acquisition)fMRI01/08/2018
838Memory Guided Saccade Encode and Maintenance v3fMRI01/05/2018
837Memory Guided Saccade Encode and Maintenance v2fMRI01/05/2018
836Food ExposurefMRI01/03/2018
835Model ExposurefMRI01/02/2018
834BlankingEye Tracking12/28/2017
833DoubleStepEye Tracking12/26/2017
832Memory Guided Saccade Encode and Maintenance v1 fMRI12/21/2017
831Mixed Anti and Pro (vgs) saccade mixed blocked taskfMRI12/21/2017
830T1 AlternativefMRI12/19/2017
829fMRI Movie Trailer Video 2fMRI12/18/2017
828fMRI Movie Trailer Video 1fMRI12/18/2017
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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Longitudinal measurements of sleep EEG in adolescence
Irwin Feinberg 
Adolescence is now recognized as a period of major brain reorganization as well as rapid endocrine and physical development. Among the most prominent brain changes is a huge decline in the delta (<4 Hz) EEG of NREM sleep. Our ongoing study uses spectral and period-amplitude analyses to examine sleep and EEG longitudinally in semiannual 4-night recordings in two cohorts: C9 (N=30) ages 9-13 and C12 (N=38) ages 12-16. Data from the first two years yielded answers to important questions but raised new questions that require extending the study of these cohorts and adding a younger cohort, C6 (N=30) ages 6-10. Contrary to cross-sectional findings, our longitudinal results from C9 show little within-subject delta decline between 9 and 11 years. In contrast, C12 data show a strong delta decline across 12-14 years and levels were significantly lower in girls suggesting that they initiated the maturation process earlier. A striking result that contradicts previous suggestions is that, with age controlled, the delta decline was unrelated to pubertal (Tanner) status. The delta decline was also unrelated to the concurrent changes in sleep schedule. In C12 the increase in daytime sleepiness was related to the decline in delta but was not related to changes in sleep schedule. Extending the current study will enable us to determine within-individual patterns of delta decline from its start through its deceleration at the end of adolescence. We will also determine over a wider age range whether this decline is related to: pubertal development, the emergence of daytime sleepiness, performance on a daytime psychomotor vigilance task, and the ability to extend sleep. We have initiated a data sharing collaboration with Dr. Jay Giedd who has longitudinal MRI measures of cortical thickness over the same age ranges. The new 6 yr old cohort will provide quantitative benchmarks for sleep EEG across childhood over an age range where cortical grey matter is increasing. These data are the first within-S measurements of the decline in delta power across adolescence. We hypothesize that this decline is one component of a pervasive maturational reorganization during human adolescence. This reorganization is driven by synaptic pruning and includes a marked decline in waking brain metabolism. We have also hypothesized that errors in this process can give rise to mental illness, notably schizophrenia. Elucidating the normative trajectory of the delta changes across adolescence could provide an index of the related maturational brain events which could provide the platform necessary for the eventual study of patients at high-risk for schizophrenia. In addition, these data have implications for sleep homeostasis and for the public health implications for adolescent sleep schedules.
Funding Completed
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NIH - Extramural None

StudyDescription.doc Methods Study Description Qualified Researchers
RecordingSummaryAnon.xls Methods Recording Summary Qualified Researchers

R01MH062521-01 Longitudinal measurements of sleep EEG in adolescence 04/17/2002 03/31/2007 76 70 UNIVERSITY OF CALIFORNIA AT DAVIS $2,219,837.00

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:


To create a new Omics, eye tracking, fMRI, or EEG experiment, press the "+ New Experiment" button. Once an experiment is created, then raw files for these types of experiments should be provided, associating the experiment – through Experiment_ID – with the metadata defined in the experiments interface.

IDNameCreated DateStatusType
105Longitudinal Sleep Study. H20 200. Channel set 111/07/2013ApprovedEEG
106Longitudinal Sleep Study. H20 200. Channel set 211/07/2013ApprovedEEG
107Longitudinal Sleep Study. H20 200. Channel set 311/07/2013ApprovedEEG
108Longitudinal Sleep Study. AURA 20011/07/2013ApprovedEEG
109Longitudinal Sleep Study. AURA 40011/07/2013ApprovedEEG

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Shared Data

Data structures with the number of subjects submitted and shared are provided.

EEG Session Imaging 98
EEG Subject Clinical Assessments 99

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Publications relevant to NDAR data are listed below. Most displayed publications have been associated with the grant within Pubmed. Use the "+ New Publication" button to add new publications. Publications relevant/not relevant to data expected are categorized. Relevant publications are then linked to the underlying data by selecting the Create Study link. Study provides the ability to define cohorts, assign subjects, define outcome measures and lists the study type, data analysis and results. Analyzed data and results are expected in this way.

PubMed IDStudyTitleJournalAuthorsDateStatus
26285004Create StudyMaturational Patterns of Sigma Frequency Power Across Childhood and Adolescence: A Longitudinal Study.SleepCampbell IG, Feinberg IJanuary 2016Not Determined
23193115Create StudyLongitudinal sleep EEG trajectories indicate complex patterns of adolescent brain maturation.American journal of physiology. Regulatory, integrative and comparative physiologyFeinberg I, Campbell IGFebruary 15, 2013Not Determined
22451933Create StudySex, puberty, and the timing of sleep EEG measured adolescent brain maturation.Proceedings of the National Academy of Sciences of the United States of AmericaCampbell IG, Grimm KJ, de Bie E, Feinberg IApril 10, 2012Not Determined
22116514Create StudyThe maturational trajectories of NREM and REM sleep durations differ across adolescence on both school-night and extended sleep.American journal of physiology. Regulatory, integrative and comparative physiologyFeinberg I, Davis NM, de Bie E, Grimm KJ, Campbell IGMarch 1, 2012Not Determined
21358849Create StudyTopographic differences in the adolescent maturation of the slow wave EEG during NREM sleep.SleepFeinberg I, de Bie E, Davis NM, Campbell IGMarch 2011Not Determined
21203377Create StudyAdolescent changes in homeostatic regulation of EEG activity in the delta and theta frequency bands during NREM sleep.SleepCampbell IG, Darchia N, Higgins LM, Dykan IV, Davis NM, de Bie E, Feinberg IJanuary 2011Not Determined
19883968Create StudySleep EEG changes during adolescence: an index of a fundamental brain reorganization.Brain and cognitionFeinberg I, Campbell IGFebruary 2010Not Determined
19802813Create StudyEEG recording and analysis for sleep research.Current protocols in neuroscience / editorial board, Jacqueline N. Crawley ... [et al.]Campbell IGOctober 2009Not Determined
19679173Create StudyCerebral metabolism and sleep homeostasis: a comment on Vyazovskiy et al.Brain research bulletinFeinberg I, Campbell IGJanuary 15, 2010Not Determined
19307577Create StudyLongitudinal trajectories of non-rapid eye movement delta and theta EEG as indicators of adolescent brain maturation.Proceedings of the National Academy of Sciences of the United States of AmericaCampbell IG, Feinberg IMarch 31, 2009Not Determined
18246977Create StudyThe increase in longitudinally measured sleepiness across adolescence is related to the maturational decline in low-frequency EEG power.SleepCampbell IG, Higgins LM, Trinidad JM, Richardson P, Feinberg IDecember 2007Not Determined
17310867Create StudyKinetics of NREM delta EEG power density across NREM periods depend on age and on delta-band designation.SleepDarchia N, Campbell IG, Tan X, Feinberg IJanuary 2007Not Determined
16857890Create StudyThe adolescent decline of NREM delta, an indicator of brain maturation, is linked to age and sex but not to pubertal stage.American journal of physiology. Regulatory, integrative and comparative physiologyFeinberg I, Higgins LM, Khaw WY, Campbell IGDecember 2006Not Determined
16171278Create StudySleep EEG evidence of sex differences in adolescent brain maturation.SleepCampbell IG, Darchia N, Khaw WY, Higgins LM, Feinberg IMay 2005Not Determined

Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
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Associated Studies

Studies that have been defined using data from a Collection are important criteria to determine the value of data shared. The number of subjects column displays the counts from this Collection that are included in a Study, out of the total number of subjects in that study. The Data Use column represents whether or not the study is a primary analysis of the data or a secondary analysis. State indicates whether the study is private or shared with the research community.