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    Home > Food News > Nutrition News > This study could help clinicians use sleep brain wave patterns to diagnose dementia and other forms of cognitive impairment

    This study could help clinicians use sleep brain wave patterns to diagnose dementia and other forms of cognitive impairment

    • Last Update: 2022-01-23
    • Source: Internet
    • Author: User
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    Clinicians can assess certain brain wave patterns that occur during an individual's sleep to help them diagnose dementia and other disorders related to memory, language and thinking
    .
    A new study published in the journal Sleep, led by researchers at Massachusetts General Hospital (MGH) and Beth Israel Nuns Medical Center (BIDMC), could help improve detection of these brain wave patterns, or sleep spindles.
    automated methods of waves and linking them to cognitive functions

    .

    Sleep spindles are bursts of brain activity that occur during non-REM sleep and can be assessed by electroencephalography (EECs) with non-invasive electrodes placed on the scalp
    .
    Spindles are considered a "fingerprint" that varies between individuals, are highly heritable, and tend to be consistent across nights

    .

    "As the burden of neurodegenerative disease increases, there is an urgent need for a sensitive cognitive biomarker
    .
    This has led to a surge in research into the sleep spindle, an oscillation of brain activity observed during sleep patterns, and their role in various neuropsychiatric conditions and cognitive performance," said lead author Noor Adela, MGH's clinical research coordinator

    .

    While sleep spindles and other brain features represent potential electrophysiological markers of neurodegenerative and psychiatric disorders, detecting and assessing sleep spindles is not straightforward
    .
    "It's been known that these brief, high-frequency events in the brain during sleep are closely related to cognition, especially learning and memory

    .
    But when you try to detect spindle waves in more than 100 sleep recordings, things change.
    It is not so clear, such as what is the optimal threshold, what is the optimal minimum duration, and so on," said co-author Haoqi Sun, Ph

    .

    Sleep spindles are typically analyzed by visual inspection of the EEG, but automated methods can provide more consistent results
    .
    However, there is no consensus on the parameters of these automated methods

    .

    To address these questions, the researchers designed sleep-related experiments involving 167 adults to describe how spindle detection parameter settings affect the link between spindle characteristics and cognition, and to identify the parameters most associated with cognitive performance
    .

    The team also found that sleep spindles were most strongly linked to fluid intelligence
    .
    Fluid intelligence, which relies on abstract thinking and problem-solving skills, declines in the early stages of dementia

    .
    "Our findings therefore support sleep spindles as a sleep-based biomarker of fluid cognition," Adra said

    .
    "By optimizing the detection of this sleep-based cognitive biomarker, we hope to guide future research examining the sensitivity of this biomarker in neurodegenerative populations

    .
    "

    "The sleep spindle is one of many important measurable features of brain activity during sleep and provides a window into the current state of brain health and an individual's risk of developing brain disease or cognitive decline
    .
    Now we're better off.
    " To better understand how sleep spindles are measured, we can add these to the growing arsenal of indicators of brain health in sleep that can be measured," added the article's second author Brandon M.
    Westover, MD , an investigator in neurology at MGH and director of data science at the MGH McCance Center for Brain Health

    .
    "These metrics will be important tools in our search for treatments to protect and enhance brain health

    .
    "


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