Author Interviews, Brigham & Women's - Harvard, Schizophrenia, Sleep Disorders / 18.10.2022
Brain Waves Form Unique “Fingerprint” For Each Person
MedicalResearch.com Interview with:
[caption id="attachment_59652" align="alignleft" width="150"]
Dr. Prerau[/caption]
Michael J. Prerau, Ph.D.
Assistant Professor of Medicine,
Faculty, Division of Sleep Medicine
Harvard Medical School
Associate Neuroscientist and
Director of the Neurophysiological Signal Processing Core
Division of Sleep and Circadian Disorders
Department of Medicine Brigham and Women's Hospital
MedicalResearch.com: What is the background for this study?
Response: The brain is highly active during sleep, which makes it an important, natural way to study neurological health and disease. Scientists typically study brain activity during sleep using the electroencephalogram, or EEG, which measures brainwaves at the scalp. Starting in the mid 1930s, the sleep EEG was first studied by looking at the traces of brainwaves drawn on a paper tape by a machine. Many important features of sleep are still based on what people almost a century ago could most easily observe in the complex waveform traces. Even the latest machine learning and signal processing algorithms for detecting sleep waveforms are judged against their ability to recreate human observation.
In this study, the researchers asked: What can we learn if we expand our notion of sleep brainwaves beyond what was historically easy to identify by eye?
Dr. Prerau[/caption]
Michael J. Prerau, Ph.D.
Assistant Professor of Medicine,
Faculty, Division of Sleep Medicine
Harvard Medical School
Associate Neuroscientist and
Director of the Neurophysiological Signal Processing Core
Division of Sleep and Circadian Disorders
Department of Medicine Brigham and Women's Hospital
MedicalResearch.com: What is the background for this study?
Response: The brain is highly active during sleep, which makes it an important, natural way to study neurological health and disease. Scientists typically study brain activity during sleep using the electroencephalogram, or EEG, which measures brainwaves at the scalp. Starting in the mid 1930s, the sleep EEG was first studied by looking at the traces of brainwaves drawn on a paper tape by a machine. Many important features of sleep are still based on what people almost a century ago could most easily observe in the complex waveform traces. Even the latest machine learning and signal processing algorithms for detecting sleep waveforms are judged against their ability to recreate human observation.
In this study, the researchers asked: What can we learn if we expand our notion of sleep brainwaves beyond what was historically easy to identify by eye?
Dr. Duffy[/caption]
Jeanne Duffy, MBA, PhD
Associate Professor of Medicine
Division of Sleep and Circadian Disorders
Harvard Medical School
MedicalResearch.com: What is the background for this study?
Response: Aging is associated with changes in sleep timing, quality and duration, and even older adults without chronic medical problems have shorter and more disrupted sleep than young adults. Many prescription sleep aids increase the risk of nighttime falls, have
adverse effects on next‐day cognition, and are associated with increased mortality, and so are not recommended for long-term use in older adults. In previous studies, we and others have shown that melatonin, a hormone secreted at night, increases sleep duration in young adults but only when administered during the day when endogenous melatonin levels are low. We wanted to explore whether melatonin could improve the sleep of healthy adults and whether, like young adults, its impact depends on when during the day the person is trying to sleep.