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    Home > Active Ingredient News > Study of Nervous System > The Psychol Med-Tang team explored the electrophysiological characteristics of sleep in 27 neuropsychiatric disorders

    The Psychol Med-Tang team explored the electrophysiological characteristics of sleep in 27 neuropsychiatric disorders

    • Last Update: 2023-01-05
    • Source: Internet
    • Author: User
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    Written by Nie Yuru

    Responsible editorWang Sizhen, Fang Yiyi

    Editor—Summer Leaf


    Neuropsychiatric diseases are a significant cause of disability and death worldwide, taking a huge toll
    on individuals, families and health systems.
    Sleep disturbance is a common clinical symptom
    in patients with neuropsychiatric disorders.
    In the past, sleep disturbances were seen as clinical symptoms
    caused by pathological changes in neuropsychiatric disorders.
    There is growing evidence of complex interactions and potential bidirectional causal relationships
    between sleep disorders and these disorders.
    Sleep disorders can predict the development of neuropsychiatric disorders (eg, depression, anxiety, and neurodegeneration) longitudinally, and effective treatment of neuropsychiatric disorders can improve sleep disorder symptoms [
    1-3].

    Therefore, clarifying the relationship between sleep and neuropsychiatric disorders may help to understand the pathological mechanisms of these disorders
    [4].

    Polysomnography
    (PSG) is the gold standard
    for objectively assessing an individual's sleep characteristics.
    Exploring the PSG sleep characteristic variables in patients with neuropsychiatric disorders has the potential to reveal the neurobiological mechanisms of specific diseases, as well as the commonalities and differences between different diseases [5].


    Recent studies have found that meta-analyses are susceptible to reporting bias, publication bias, residual confounding bias, and other types of issues that may lead to overestimation of the parameters of the data being tested [6].

    Such defects can lead to false-positive results
    [7], which may mask the most important or significant neurobiological features
    of a particular disease.
    Therefore, we used an umbrella analysis method to assess the strength of the evidence, the precision of the estimates, robustness, and possible bias for changes in nocturnal PSG characteristics for different neuropsychiatric disorders
    .


    On November 15, 2022, Professor Tang Xiangdong's team from the Sleep Medicine Center of West China Hospital of Sichuan University published a title in Psychological Medicine "Patterns of polysomnography parameters in 27 neuropsychiatric diseases: an umbrella review
    .
    "
    In the article, the researchers explored and compared schizophrenia, bipolar disorder, generalized anxiety disorder, depression, obsessive-compulsive disorder, post-traumatic stress disorder, autism spectrum disorder, anorexia nervosa, stroke, epilepsy, Alzheimer's disease, Parkinson's disease, Huntington's disease, migraine, and traumatic brain injury through umbrella analysis27 The macroscopic and microscopic sleep structure patterns of neuropsychiatric diseases differed, and the results showed that different neuropsychiatric diseases had completely different overall changes in
    PSG.
    The overall pattern of PSG change is an important dimension that reflects the neuropathological characteristics of different neuropsychiatric disorders.

    (Further reading: For the relevant research progress of Tang Xiangdong's research group, see the "Logical Neuroscience" report (click to read):.
    ) Neurosci Biobehav Rev
    —Tang Xiangdong's team explores the pharmacological and psychotherapeutic efficacy of PTSD nightmares
    ).



    The results of the analysis showed that the overall pattern of sleep changes varied widely between different diseases (Figure 1).

    Compared to healthy controls, patients with major depressive disorder (MDD) had sleep latency SL), decreased sleep efficiency (SE), increased percentage sleep in NREM stage 1 in patients with narcolepsy, Parkinson's disease Decrease in REM sleep percentage during the REM phase of disease (PD) is evidence
    with a highly suggestive level 。 These findings can also be observed in other neuropsychiatric disorders such as post-traumatic stress disorder, schizophrenia, and Huntington's disease, although the level of confidence in the evidence varies
    .
    This suggests that changes in individual PSG parameters should be considered as cross-diagnostic sleep features for various neuropsychiatric disorders, rather than signature sleep features
    for specific diseases.
    There is still a lack of strong evidence that any single change in sleep parameters is specific to
    a particular disease.
    Observing
    the overall pattern of changes in PSG found that neither disease had the same overall pattern of changes in sleep characteristics (Figure 1), indicating PSG The overall pattern of change characteristic may be a specific marker
    to distinguish between different disease diagnoses.


    Fig.
    1 Change pattern of sleep parameters (standardized mean difference)
    in 27 patients with neuropsychiatric diseases.

    (Source: Zhang Y et al.
    , Psychol Med, 2022
    ).


    Fig.
    2 Confidence in polysomnography changes for 27 neuropsychiatric disorders
    .

    (Source: Zhang Y et al.
    , Psychol Med, 2022
    ).


    Of the 321 pooled analyses, none had a convincing (convincing) PSG differential strength according to the quantitative umbrella analysis criteria (Figure 2)
    。 Only
    seven (2.
    2%)
    analyses were supported by highly suggestive evidence: people with MDD SL increased, SE decreased; Patients with narcolepsy have increased NREM stage 1 sleep percentage, NREM 2 stage sleep percentage, SL and REML (rapid eye movement sleep latency).
    ) lower; The percentage of REM sleep is reduced
    in PD patients.


    This paper conducts the first umbrella analysis of polysomnography (PSG) parameter changes in patients with different neuropsychiatric diseases, and describes the PSG of 27 neuropsychiatric diseases Features
    .
    Although
    the level of evidence for PSG features in 27 neuropsychiatric disorders varied across different PSG variables and across disorders, available evidence suggests PSG for different neuropsychiatric disorders The overall change pattern is different, suggesting that the overall change pattern of PSG can be used as an important dimension
    to distinguish different neuropsychiatric diseases.
    This provides further evidence
    for further understanding of the neuropathological features of different neuropsychiatric disorders.


    The study still has some limitations
    .
    It can be summarized as follows:
    1 In this umbrella analysis, for diseases with low incidence such as Huntington's disease, Wilson's disease, and social anxiety disorder, the number of included literature is small and the sample size of patients is small, so the PSG characteristics of these diseases still need to be further verified
    .
    2.
    The influence of gender, age and other demographic factors on the change of the overall pattern of PSG in different neuropsychiatric diseases is an important research direction
    in the future.
    3.
    This umbrella analysis did not include changes in the overall pattern of PSG for all neuropsychiatric disorders such as multiple sclerosis, restless legs syndrome, and the strength of the evidence remains unclear
    .


    Original link: #


    The research was supported by the Science and Technology Innovation 2030 "Brain Science and Brain-like Research" major project (2021ZD0201900) and the National Natural Science Foundation of China International (regional) Cooperation and Exchange Key Project (82120108002).


    First author: Zhang Ye (left); Corresponding author: Tang Xiangdong (right).

    (Photo courtesy of Tang Xiangdong Research Group)



    Welcome to scan the code to join Logical Neuroscience Literature Study 2

    Group Note Format: Name--Field of Research-Degree/Title/Title/PositionSelected Previous Articles

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    [1] Galbiati, A.
    , Verga, L.
    , Giora, E.
    , et al.
    The risk of neurodegeneration in REM sleep behavior disorder: A systematic review and meta-analysis of longitudinal studies.
    Sleep Medicine Reviews, 2019, 43, 37–46.

    [2] Hertenstein, E.
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    End of article


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