The EEG sleep of 75 subjects aged 16-25 years was studied. Thirty-eight were in an episode of RDC major depression, and 37 were normal controls. Only one sleep continuity measure differed between the two groups: sleep latency was significantly longer in the depressive group. REM period latencies and other sleep variables did not differ between the groups. Subgroup analyses, within the depressed group with respect to inpatient status, revealed significantly higher REM density (P less than 0.03) and a marginally shortened REM period latency (P less than 0.07) among the inpatient depressives. Subgroup analysis across suicidal ratings revealed a significantly higher REM density (P less than 0.04) among suicidal depressives. Severity estimates of depression did not correlate with sleep findings. These results parallel another recent report on adolescent depressed subjects, suggesting that inpatient and/or suicidal status is an important variable in the expression of EEG sleep abnormalities in the adolescent/young adult age group.
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http://dx.doi.org/10.1016/0165-0327(91)90089-b | DOI Listing |
Acta Pharmacol Sin
January 2025
Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Joint International Research Laboratory of Sleep, Fudan University, Shanghai, 200032, China.
Adenosine A receptor (AR) plays a pivotal role in the regulation of sleep-wake behaviors. We previously reported an AR selective antagonist compound 38 with an IC value of 29.0 nM.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Hebei Key Laboratory of Nerve Injury and Repair, Chengde Medical University, Chengde City, Hebei, China.
Background: Mild cognitive impairment (MCI) is recognized as a condition that may increase the risk of developing Alzheimer's disease (AD). Understanding the neural correlates of MCI is crucial for elucidating its pathophysiology and developing effective interventions. Electroencephalogram (EEG) microstates, reflecting brain activity changes, have shown promise in MCI research.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115.
Sleep spindles are cortical electrical oscillations considered critical for memory consolidation and sleep stability. The timing and pattern of sleep spindles are likely to be important in driving synaptic plasticity during sleep as well as preventing disruption of sleep by sensory and internal stimuli. However, the relative importance of factors such as sleep depth, cortical up/down-state, and temporal clustering in governing sleep spindle dynamics remains poorly understood.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA.
Understanding sleep stages is crucial for diagnosing sleep disorders, developing treatments, and studying sleep's impact on overall health. With the growing availability of affordable brain monitoring devices, the volume of collected brain data has increased significantly. However, analyzing these data, particularly when using the gold standard multi-lead electroencephalogram (EEG), remains resource-intensive and time-consuming.
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