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Editor | Wang Duoyu Typography | Shui Chengwen Sleep spindles are brain activities that occur in large quantities during non-REM sleep and are related to cognitive function
.
It can be assessed by electroencephalography (EECs) with non-invasive electrodes placed on the scalp
.
Sleep spindles are considered a "fingerprint" that varies between individuals, are highly heritable, and tend to be consistent at night
.
But there is currently no consensus on which sleep spindle parameters are important
.
With aging worldwide and the rising burden of neurodegenerative diseases, there is an urgent need for a sensitive cognitive biomarker
.
Clinicians may evaluate 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
.
Recently, researchers at Massachusetts General Hospital and Beth Israel Deaconess Medical Center published a research paper titled: Optimal Spindle Detection Parameters for Predicting Cognitive Performance in the journal Sleep
.
The new study describes how spindle detection parameter settings affect the association between spindles and cognition, and identifies the parameters most associated with cognitive performance
.
This could help improve automated methods for detecting these brainwave patterns, or sleep spindles, and linking them to cognitive function
.
"With the rising burden of neurodegenerative disease, there is an urgent need for a sensitive cognitive biomarker," said lead author Noor Adra, a clinical research fellow at Massachusetts General Hospital
.
"
This has led to a rush to study sleep spindles -- a Oscillating patterns of brain activity observed during sleep and their role in various neuropsychiatric conditions and cognitive performance
.
" Although sleep spindles and other brain features represent potential electrophysiological aspects of neurodegenerative and psychiatric disorders markers, but 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," said co-author Haoqi Sun, Ph.
D.
, a researcher in the Department of Neurology at Massachusetts General Hospital
.
When trying to detect spindles in more than 100 sleep recordings, things become less clear, such as what is the optimal threshold, what is the optimal minimum duration, etc.
"
Sleep spindles are usually obtained by visual inspection of the EEG.
Check for analysis, but automated methods can provide more consistent results
.
However, there is no consensus on the parameters of this automated method
.
To address these questions, the researchers designed sleep-related experiments involving 167 adults to describe how spindle detection parameter settings affect the association between spindle features and cognition, and to identify the parameters most associated with cognitive performance
.
The team also found that sleep spindles are closely related to so-called fluid intelligence, which relies on abstract thinking and problem-solving skills, and declines in the early stages of dementia
.
"Our findings therefore support sleep spindles as a sleep-based biomarker of fluid intelligence," said Adra
.
By optimizing the detection of this sleep-based cognitive biomarker, we hope to guide future studies to examine the sensitivity of this biomarker in neurodegenerative populations
.
"The sleep spindle is one of many important measurable features of brain activity during sleep that provides an insight into the current state of brain health and individual Window of risk for developing brain disease or cognitive decline
.
Now that we have a better understanding of how sleep spindles are measured, we can add them to the growing pool of information on brain health -- health metrics that can be measured during sleep that will be the key to our quest to develop ways to protect and strengthen the brain.
A vital tool for healthy healing methods
.
"Reference link: https://doi.
org/10.
1093/sleep/zsac001https:// open reprint welcome to forward to Moments and WeChat groups
.
It can be assessed by electroencephalography (EECs) with non-invasive electrodes placed on the scalp
.
Sleep spindles are considered a "fingerprint" that varies between individuals, are highly heritable, and tend to be consistent at night
.
But there is currently no consensus on which sleep spindle parameters are important
.
With aging worldwide and the rising burden of neurodegenerative diseases, there is an urgent need for a sensitive cognitive biomarker
.
Clinicians may evaluate 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
.
Recently, researchers at Massachusetts General Hospital and Beth Israel Deaconess Medical Center published a research paper titled: Optimal Spindle Detection Parameters for Predicting Cognitive Performance in the journal Sleep
.
The new study describes how spindle detection parameter settings affect the association between spindles and cognition, and identifies the parameters most associated with cognitive performance
.
This could help improve automated methods for detecting these brainwave patterns, or sleep spindles, and linking them to cognitive function
.
"With the rising burden of neurodegenerative disease, there is an urgent need for a sensitive cognitive biomarker," said lead author Noor Adra, a clinical research fellow at Massachusetts General Hospital
.
"
This has led to a rush to study sleep spindles -- a Oscillating patterns of brain activity observed during sleep and their role in various neuropsychiatric conditions and cognitive performance
.
" Although sleep spindles and other brain features represent potential electrophysiological aspects of neurodegenerative and psychiatric disorders markers, but 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," said co-author Haoqi Sun, Ph.
D.
, a researcher in the Department of Neurology at Massachusetts General Hospital
.
When trying to detect spindles in more than 100 sleep recordings, things become less clear, such as what is the optimal threshold, what is the optimal minimum duration, etc.
"
Sleep spindles are usually obtained by visual inspection of the EEG.
Check for analysis, but automated methods can provide more consistent results
.
However, there is no consensus on the parameters of this automated method
.
To address these questions, the researchers designed sleep-related experiments involving 167 adults to describe how spindle detection parameter settings affect the association between spindle features and cognition, and to identify the parameters most associated with cognitive performance
.
The team also found that sleep spindles are closely related to so-called fluid intelligence, which relies on abstract thinking and problem-solving skills, and declines in the early stages of dementia
.
"Our findings therefore support sleep spindles as a sleep-based biomarker of fluid intelligence," said Adra
.
By optimizing the detection of this sleep-based cognitive biomarker, we hope to guide future studies to examine the sensitivity of this biomarker in neurodegenerative populations
.
"The sleep spindle is one of many important measurable features of brain activity during sleep that provides an insight into the current state of brain health and individual Window of risk for developing brain disease or cognitive decline
.
Now that we have a better understanding of how sleep spindles are measured, we can add them to the growing pool of information on brain health -- health metrics that can be measured during sleep that will be the key to our quest to develop ways to protect and strengthen the brain.
A vital tool for healthy healing methods
.
"Reference link: https://doi.
org/10.
1093/sleep/zsac001https:// open reprint welcome to forward to Moments and WeChat groups
