Literature DB >> 23174482

Technical advances in the characterization of the complexity of sleep and sleep disorders.

Matt T Bianchi1, Robert J Thomas.   

Abstract

The current clinical standard for quantifying sleep physiology is the laboratory polysomnogram, from which basic sleep-wake stages are determined. However, the complexity of sleep physiology has inspired alternative metrics that are providing additional insights into the rich dynamics of sleep. Electro-encephalography, magneto-encephalography, and functional magnetic resonance imaging represent advanced imaging modalities for understanding brain dynamics. These methods are complemented by autonomic measurements that provide additional important insights. We review here the spectrum of approaches that have been leveraged towards improved understanding of the complexity of sleep.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AASM; Actigraphy; American Academy of Sleep Medicine; Autonomic; Cardiopulmonary coupling; Complex system; EEG; EKG; EMG; EOG; GABA; Hypnogram; N1; N2; N3; NREM; Polysomnography; REM; Sleep; electro-oculogram; electrocardiogram; electroencephalogram; electromyogram; first NREM stage; gamma amino butyric acid; non-rapid eye movement; rapid eye movement; second NREM stage; third NREM stage

Mesh:

Year:  2012        PMID: 23174482      PMCID: PMC3631575          DOI: 10.1016/j.pnpbp.2012.09.017

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  84 in total

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4.  Persistent default-mode network connectivity during light sedation.

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5.  Cortical network functional connectivity in the descent to sleep.

Authors:  Linda J Larson-Prior; John M Zempel; Tracy S Nolan; Fred W Prior; Abraham Z Snyder; Marcus E Raichle
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-02       Impact factor: 11.205

Review 6.  The EEG of drowsiness in normal adults.

Authors:  J Santamaria; K H Chiappa
Journal:  J Clin Neurophysiol       Date:  1987-10       Impact factor: 2.177

Review 7.  Functional neuroimaging of normal human sleep by positron emission tomography.

Authors:  P Maquet
Journal:  J Sleep Res       Date:  2000-09       Impact factor: 3.981

Review 8.  Are corticothalamic 'up' states fragments of wakefulness?

Authors:  Alain Destexhe; Stuart W Hughes; Michelle Rudolph; Vincenzo Crunelli
Journal:  Trends Neurosci       Date:  2007-05-03       Impact factor: 13.837

9.  Method for detection of respiratory cycle-related EEG changes in sleep-disordered breathing.

Authors:  Ronald D Chervin; Joseph W Burns; Nikolas S Subotic; Christopher Roussi; Brian Thelen; Deborah L Ruzicka
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10.  The human K-complex represents an isolated cortical down-state.

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Journal:  Science       Date:  2009-05-22       Impact factor: 47.728

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  9 in total

Review 1.  Consumer Sleep Technologies: A Review of the Landscape.

Authors:  Ping-Ru T Ko; Julie A Kientz; Eun Kyoung Choe; Matthew Kay; Carol A Landis; Nathaniel F Watson
Journal:  J Clin Sleep Med       Date:  2015-12-15       Impact factor: 4.062

2.  Sleep Fragmentation Does Not Explain Misperception of Latency or Total Sleep Time.

Authors:  Austin Saline; Balaji Goparaju; Matt T Bianchi
Journal:  J Clin Sleep Med       Date:  2016-09-15       Impact factor: 4.062

Review 3.  Polysomnographic characteristics in nonmalignant chronic pain populations: A review of controlled studies.

Authors:  Martin F Bjurstrom; Michael R Irwin
Journal:  Sleep Med Rev       Date:  2015-04-08       Impact factor: 11.609

4.  Cardiopulmonary coupling spectrogram as an ambulatory clinical biomarker of sleep stability and quality in health, sleep apnea, and insomnia.

Authors:  Robert Joseph Thomas; Christopher Wood; Matt Travis Bianchi
Journal:  Sleep       Date:  2018-02-01       Impact factor: 5.849

5.  Sleep quality and general health status of employees exposed to extremely low frequency magnetic fields in a petrochemical complex.

Authors:  Mohammad Reza Monazzam; Monireh Hosseini; Laleh Farhang Matin; Habib Allah Aghaei; Hossein Khosroabadi; Ahmad Hesami
Journal:  J Environ Health Sci Eng       Date:  2014-04-29

6.  Big data in sleep medicine: prospects and pitfalls in phenotyping.

Authors:  Matt T Bianchi; Kathryn Russo; Harriett Gabbidon; Tiaundra Smith; Balaji Goparaju; M Brandon Westover
Journal:  Nat Sci Sleep       Date:  2017-02-16

7.  A novel adhesive biosensor system for detecting respiration, cardiac, and limb movement signals during sleep: validation with polysomnography.

Authors:  Elise Jortberg; Ikaro Silva; Viprali Bhatkar; Ryan S McGinnis; Ellora Sen-Gupta; Briana Morey; John A Wright; Jesus Pindado; Matt T Bianchi
Journal:  Nat Sci Sleep       Date:  2018-11-26

8.  Multicomponent Analysis of Sleep Using Electrocortical, Respiratory, Autonomic and Hemodynamic Signals Reveals Distinct Features of Stable and Unstable NREM and REM Sleep.

Authors:  Christopher Wood; Matt Travis Bianchi; Chang-Ho Yun; Chol Shin; Robert Joseph Thomas
Journal:  Front Physiol       Date:  2020-12-03       Impact factor: 4.566

9.  Heart rate phenotypes and clinical correlates in a large cohort of adults without sleep apnea.

Authors:  Zhaoyang Huang; Balaji Goparaju; He Chen; Matt T Bianchi
Journal:  Nat Sci Sleep       Date:  2018-04-19
  9 in total

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