Sleep disturbance in mental health problems and neurodegenerative disease

Anderson, Kelly; Bradley, Andrew J.

doi:10.2147/nss.s34842

Cited by 153 publications

(116 citation statements)

References 213 publications

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Section: Introductionmentioning

confidence: 99%

“…Sleep problems are prominent in people with schizophrenia spectrum disorders (up to 80 % [5]), compared to the general population. The mechanism of poor sleep in people with schizophrenia spectrum disorders is unknown but studies indicate both sleep homeostasis and circadian rhythms are disrupted [5,6]. Specifically, polysomnography (PSG), actigraphy, and subjective sleep quality assessments indicate increased sleep latency and awakenings during the sleep period, shifted wake/ sleep periods, increased naps, and reduced sleep efficiency in schizophrenia [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…The mechanism of poor sleep in people with schizophrenia spectrum disorders is unknown but studies indicate both sleep homeostasis and circadian rhythms are disrupted [5,6]. Specifically, polysomnography (PSG), actigraphy, and subjective sleep quality assessments indicate increased sleep latency and awakenings during the sleep period, shifted wake/ sleep periods, increased naps, and reduced sleep efficiency in schizophrenia [5,6]. Disturbed sleep occurs in the prodromal phase [7], commonly precedes psychotic exacerbation [8], and occurs in both antipsychotic medicated and unmedicated states [9,10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sleep Disorders Among People With Schizophrenia: Emerging Research

Klingaman

Palmer-Bacon

Bennett

et al. 2015

Curr Psychiatry Rep

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Up to 80 % of individuals with schizophrenia spectrum disorders experience sleep disturbances, which impact physical and mental health, as well as quality of life. In this paper, we review and integrate emerging literature, published between 2012 and 2014, regarding approaches to diagnosis and treatment of major sleep disorders for people with schizophrenia spectrum disorders, including insomnia, obstructive sleep apnea (OSA), circadian rhythm dysfunction, and restless legs syndrome (RLS). We advocate for (1) the need to evaluate the utility of nonpharmacological approaches in people with schizophrenia spectrum disorders; (2) documentation of guidelines to assist providers in clinically tailoring such interventions when their clients experience positive, negative, and/or cognitive symptoms; (3) research on the best ways providers can capitalize on clients' self-identified needs and motivation to engage in sleep treatments through shared decision making; and (4) the importance of investigating whether and how mental health and sleep treatment services should be better connected to facilitate access for people with schizophrenia spectrum disorders. Assessment and tailored treatment of sleep disorders within mental health treatment settings has the potential to reduce sleep problems and improve functioning, quality of life, and recovery of this population.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sleep Disorders Among People With Schizophrenia: Emerging Research

Klingaman

Palmer-Bacon

Bennett

et al. 2015

Curr Psychiatry Rep

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“…For instance, patients with schizophrenia have a markedly increased prevalence of sleep problems [39][40][41][42][43]. Insomnia has also been related to increased suicide rate [44] and persecutory delusions [45,46] in patients with schizophrenia.…”

Section: Toxoplasma Gondii (T Gondii) Is a Common Latency-establishimentioning

confidence: 99%

302. Sleep Onset Insomnia, Daytime Sleepiness and Sleep Duration in Relationship to Toxoplasma gondii IgG Seropositivity and Serointensity

Moustafa

Ahmad

Stiller

et al. 2017

Biological Psychiatry

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Toxoplasma gondii (T. gondii) infects central nervous tissue and is kept in relative dormancy by a healthy immune system. Sleep disturbances have been found to precipitate mental illness, suicidal behavior and car accidents, which have been previously linked to T. gondii as well. We speculated that if sleep disruption, particularly insomnia, would mediate, at least partly, the link between T. gondii infection and related behavioral dysregulation, then we would be able to identify significant associations between sleep disruption and T. gondii. The mechanisms for such an association may involve dopamine (DA) production by T. gondii, or collateral effects of immune activation necessary to keep T. gondii in check. Sleep questionnaires from 2031 Old Order Amish were analyzed in relationship to T. gondii-IgG antibodies measured by enzyme-linked immunosorbent assay (ELISA). Toxoplasma gondii seropositivity and serointensity were not associated with any of the sleep latency variables or Epworth Sleepiness Scale (ESS). A secondary analysis identified, after adjustment for age group, a statistical trend toward shorter sleep duration in seropositive men (p = 0.07). In conclusion, it is unlikely that sleep disruption mediates links between T. gondii and mental illness or behavioral dysregulation. Trending gender differences in associations between T. gondii and shorter sleep need further investigation. Ahmad et al.

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“…Neurodegeneration diseases are incurable and lead to progressive degeneration. They affect many daily activities and structures: muscle [28], movement [29], balance [30], talking, heart function [31], sleep [32], etc. It also causes problems in mental functioning [33].…”

Section: Brain Diseasesmentioning

confidence: 99%

Pathological Brain Detection by Artificial Intelligence in Magnetic Resonance Imaging Scanning (Invited Review)

Wang¹,

Zhang²,

Zhan³

et al. 2016

PIER

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Abstract-(Aim) Pathological brain detection (PBD) systems aim to assist and even replace neuroradiologists to make decisions for patients. This review offers a comprehensive and quantitative comparison for PBD systems by artificial intelligence in magnetic resonance imaging (MRI) scanning. (Method) We first investigated four categories of brain diseases, including neoplastic disease, neurodegenerative disease, cerebrovascular disease, and inflammation. Next, we introduced important MRI techniques, such as the shimming, water and fat suppression, and three advanced imaging modalities (functional MRI, diffusion tensor imaging, and magnetic resonance spectroscopic imaging). Then, we discussed four image preprocessing techniques (image denoising, slice selection, brain extraction, spatial normalization, and intensity normalization), seven feature representation techniques (shape, moment, wavelet, statistics, entropy, gray level co-occurrence matrix, and Fourier transform), and two dimension reduction techniques (feature selection and feature extraction). Afterwards, we studied classification related methods: six learning models (decision tree, extreme learning machine, k-nearest neighbors, naive Bayes classifier, support vector machine, feed-forward neural network), five kernel functions (linear, homogeneous and inhomogeneous polynomial, radial basis function, and sigmoid), and three types of optimization methods (evolutionary algorithm, stochastic optimization, and swarm intelligence). (Results) We introduced three benchmark datasets and used K-fold stratified cross validation to avoid overfitting. We presented a detailed quantitative comparison among 44 state-of-theart PBD algorithms and discussed their advantages and limitations. (Discussions) Artificial intelligence is now making stride in the PBD field and enjoys a fair amount of success. In the future, semi-supervised learning and transfer learning techniques may be potential breakthroughs to develop PBD systems.

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Sleep disturbance in mental health problems and neurodegenerative disease

Cited by 153 publications

References 213 publications

Sleep Disorders Among People With Schizophrenia: Emerging Research

Sleep Disorders Among People With Schizophrenia: Emerging Research

302. Sleep Onset Insomnia, Daytime Sleepiness and Sleep Duration in Relationship to Toxoplasma gondii IgG Seropositivity and Serointensity

Pathological Brain Detection by Artificial Intelligence in Magnetic Resonance Imaging Scanning (Invited Review)

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