BIOMAT Database Logo BIOMAT Database Logo

The Pittsburgh study of normal sleep in young adults: focus on the relationship between waking and sleeping EEG spectral patterns. 1998

C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, PA, USA. cindye@scripps.edu

The effects of age and gender on spectral characteristics of the waking EEG were investigated in a large sample of young adult men and women. In addition, relationships between spectral characteristics of the waking and sleeping EEG within an individual were explored. The sample included 28 females and 33 males in two age groups: 20-29 years (n = 32), and 30-40 years (n = 29). Spectral analysis was used to quantify EEG frequency characteristics for waking EEG just prior to sleep onset, as well as for the entire sleep recording. Significant effects of age were seen in the waking EEG but only in the delta frequency range (0.5-4.5 Hz) with lower delta activity in the older group (F = 11.6, P = 0.001). No significant gender effects were found in the waking EEG. Independent of age and gender, spectral profiles in the delta, theta, alpha and beta frequency bands of a subject's waking EEG were found to be highly correlated with their sleep EEG. In addition, subjects with high voltage alpha profiles during waking were found to sleep significantly longer and deeper than those with low voltage records. Significant correlations between waking and sleep EEG suggest that the spectral signature of an individual's EEG may be found across sleep/wake states.

UI MeSH Term Description Entries
D008297 Male Males
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D004569 Electroencephalography Recording of electric currents developed in the brain by means of electrodes applied to the scalp, to the surface of the brain, or placed within the substance of the brain. EEG,Electroencephalogram,Electroencephalograms
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age
D012737 Sex Factors Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances. Factor, Sex,Factors, Sex,Sex Factor
D012890 Sleep A readily reversible suspension of sensorimotor interaction with the environment, usually associated with recumbency and immobility. Sleep Habits,Sleeping Habit,Sleeping Habits,Habit, Sleep,Habit, Sleeping,Habits, Sleep,Habits, Sleeping,Sleep Habit
D012894 Sleep Stages Periods of sleep manifested by changes in EEG activity and certain behavioral correlates; they formerly included Stage 1: sleep onset, drowsy sleep; Stage 2: light sleep; Stages 3 and 4: delta sleep, light sleep, deep sleep, telencephalic sleep. In 2007, sleep stages were redefined by The American Academy of Sleep Medicine (AASM) as: N1-N2 (sleep onset - light sleep), N3 (SLOW-WAVE SLEEP), and REM SLEEP. N1-Sleep,N2-Sleep,NREM Stage 1,NREM Stage 2,N1 Sleep,N2 Sleep,Sleep Stage,Stage, Sleep,Stages, Sleep

Related Publications

C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
Spectral analysis of the EEG during waking and sleeping.
July 1967, Electroencephalography and clinical neurophysiology,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
SLEEP PATTERNS IN YOUNG ADULTS: AN EEG STUDY.
October 1964, Electroencephalography and clinical neurophysiology,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
Simulating the waking and sleeping EEG.
November 1972, Psychophysiology,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
Waking and sleeping EEG patterns of subjects under 31 atmospheres pressure.
April 1970, Electroencephalography and clinical neurophysiology,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
EEG spectral power in phasic and tonic REM sleep: different patterns in young adults and children.
June 2016, Journal of sleep research,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
Effects of sleep deprivation on performance and EEG spectral analysis in young adults.
January 2000, Brain and cognition,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
On the relationship between normal EEG patterns and personality variables.
April 1955, The Journal of nervous and mental disease,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
Placebo and sleep patterns of normal young adults.
August 1978, Biological psychiatry,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
[EEG AND BEHAVIORAL STUDY OF ALTERNATING WAKING AND SLEEPING IN THE DONKEY].
August 1963, Comptes rendus des seances de la Societe de biologie et de ses filiales,
C L Ehlers, and D J Kupfer, and D J Buysse, and P A Cluss, and J M Miewald, and E F Bisson, and V J Grochocinski
EEG patterns during and following extended sleep in young adults.
December 1980, Electroencephalography and clinical neurophysiology,
Copied contents to your clipboard!