Sleep disturbances are associated with hypertension, obesity, cardiovascular diseases, and metabolic diseases. Researchers have established a robust link between cognitive and emotional impairments and various neuropsychiatric disorders, e.g., dementia, Parkinson’s disease (PD), major depressive disorder (MDD), bipolar disorder (BD), post-traumatic stress disorder (PTSD), attention deficit hyperactivity disorder (ADHD), schizophrenia, anxiety disorders, etc. via experimentation on healthy control groups and patients. Furthermore, specific electrophysiological features of sleep, such as sleep spindles, K-complex, and slow-wave sleep oscillations have proven associations with memory consolidation and emotional regulation. In spite of recent advances, the underlying neural mechanisms of sleep disorders, neurobiological consequences of sleep deprivation, as well as the link between sleep disturbances and a variety of neuropsychiatric disorders have yet to be fully understood.
Neuroimaging modalities offer unique opportunities for detailed evaluations on neural correlations of subjective and objective sleep quality and/or quantity in the healthy population, and how the brain adjusts itself and adapts to experimental sleep deprivation or sleep disturbances in healthy and/or unhealthy ways. Neuroimaging techniques also allow researchers to investigate various sleep patterns and their consequences in individuals during their lifetime, and to help identify structural and functional changes caused by sleep disorders. In more recent years, developments in computational approaches such as multivariate pattern analysis and deep learning enable the future diagnosis of subtyping sleep impairment with greater accuracy, and subsequently make personalized interventions for patients suffering from neuropsychiatric disorders possible.
The primary aims of this Research Topic are to highlight current understanding and progress on the relationship between sleep disturbances and neuropsychiatric disorders via neuroimaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), Magnetic Resonance Imaging (MRI) as well as Simultaneous EEG-fMRI studies. We encourage original research and reviews applying neuroimaging methods mentioned above to investigate the following:
• Insomnia and how it relates to cognitive and emotional dysfunctionalities such as schizophrenia/depression/anxiety/PTSD/ADHD/BD
• Sleep deprivation and its impact on cardiovascular diseases
• Sleep disorders and dementia/PD
• Obstructive sleep apnea and reflections on mental disorders
• How sleep spindles/K-complex/slow-wave sleep oscillations affect mental health
• Shift-work sleep disorders and impact on the healthy population
Studies involving computational approaches e.g., network analysis and machine learning for data processing and imaging analysis are particularly welcomed. We are open to both original research articles and reviews, and submissions need to demonstrate how a single neuroimaging technique or combined methods determine how sleep disorders affect mental health in the healthy population and/or patients and the mechanisms behind this phenomenon. Emphasis is placed on translational value and/or clinical merit for these studies.
Sleep disturbances are associated with hypertension, obesity, cardiovascular diseases, and metabolic diseases. Researchers have established a robust link between cognitive and emotional impairments and various neuropsychiatric disorders, e.g., dementia, Parkinson’s disease (PD), major depressive disorder (MDD), bipolar disorder (BD), post-traumatic stress disorder (PTSD), attention deficit hyperactivity disorder (ADHD), schizophrenia, anxiety disorders, etc. via experimentation on healthy control groups and patients. Furthermore, specific electrophysiological features of sleep, such as sleep spindles, K-complex, and slow-wave sleep oscillations have proven associations with memory consolidation and emotional regulation. In spite of recent advances, the underlying neural mechanisms of sleep disorders, neurobiological consequences of sleep deprivation, as well as the link between sleep disturbances and a variety of neuropsychiatric disorders have yet to be fully understood.
Neuroimaging modalities offer unique opportunities for detailed evaluations on neural correlations of subjective and objective sleep quality and/or quantity in the healthy population, and how the brain adjusts itself and adapts to experimental sleep deprivation or sleep disturbances in healthy and/or unhealthy ways. Neuroimaging techniques also allow researchers to investigate various sleep patterns and their consequences in individuals during their lifetime, and to help identify structural and functional changes caused by sleep disorders. In more recent years, developments in computational approaches such as multivariate pattern analysis and deep learning enable the future diagnosis of subtyping sleep impairment with greater accuracy, and subsequently make personalized interventions for patients suffering from neuropsychiatric disorders possible.
The primary aims of this Research Topic are to highlight current understanding and progress on the relationship between sleep disturbances and neuropsychiatric disorders via neuroimaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), Magnetic Resonance Imaging (MRI) as well as Simultaneous EEG-fMRI studies. We encourage original research and reviews applying neuroimaging methods mentioned above to investigate the following:
• Insomnia and how it relates to cognitive and emotional dysfunctionalities such as schizophrenia/depression/anxiety/PTSD/ADHD/BD
• Sleep deprivation and its impact on cardiovascular diseases
• Sleep disorders and dementia/PD
• Obstructive sleep apnea and reflections on mental disorders
• How sleep spindles/K-complex/slow-wave sleep oscillations affect mental health
• Shift-work sleep disorders and impact on the healthy population
Studies involving computational approaches e.g., network analysis and machine learning for data processing and imaging analysis are particularly welcomed. We are open to both original research articles and reviews, and submissions need to demonstrate how a single neuroimaging technique or combined methods determine how sleep disorders affect mental health in the healthy population and/or patients and the mechanisms behind this phenomenon. Emphasis is placed on translational value and/or clinical merit for these studies.
