Literature DB >> 19075720

Quantitative electroencephalogram (EEG) in insomnia: a new window on pathophysiological mechanisms.

Cristina Marzano1, Michele Ferrara, Emilia Sforza, Luigi De Gennaro.   

Abstract

In the last two decades quantitative electroencephalogram (EEG) analysis has been widely used to investigate the neurophysiological characteristics of insomnia. These studies provided evidence in support of the hypothesis that primary insomnia is associated with hyperarousal of central nervous system and altered sleep homeostasis. However, we have here underlined that these results have intrinsic methodological problems, mainly related to constraints of standard assessment in clinical research. We have proposed that future studies should be performed on larger samples of drug-free patients, using within-subjects designs and longitudinally recording patients adapted to sleep laboratory. All these methodological improvements will allow to partial out the contribution of individual differences, pharmacological influences and first-night effects on EEG frequencies. Moreover, we have discussed the potential relevance of recent findings from basic research concerning local changes during physiological sleep, which could be extended to the study of insomnia. We have suggested that, if normal sleep exhibits specific regional characteristics, also disorders in initiating and maintaining sleep should be characterized by local changes. The extension of this theoretical framework to the study of insomnia could provide new insights on the underlying pathophysiological mechanisms. As a first step toward the integration of knowledge from basic and clinical research focused on local sleep changes, here we showed some preliminary data from sleep onset recordings of patients with paradoxical insomnia. This approach supports the heuristic potential of our proposal, pointing to a local functional impairment in the process of synchronization in insomniac patients compared to normal subjects, the former exhibiting more beta and less delta and sigma power on anterior scalp locations than the latter.

Entities:  

Mesh:

Year:  2008        PMID: 19075720     DOI: 10.2174/138161208786549326

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  9 in total

1.  Enhanced frontoparietal synchronized activation during the wake-sleep transition in patients with primary insomnia.

Authors:  María Corsi-Cabrera; Pedro Figueredo-Rodríguez; Yolanda del Río-Portilla; Jorge Sánchez-Romero; Lídice Galán; Jorge Bosch-Bayard
Journal:  Sleep       Date:  2012-04-01       Impact factor: 5.849

2.  Singular spectrum analysis of sleep EEG in insomnia.

Authors:  Serap Aydın; Hamdi Melih Saraoǧlu; Sadık Kara
Journal:  J Med Syst       Date:  2009-09-30       Impact factor: 4.460

3.  Regional Patterns of Elevated Alpha and High-Frequency Electroencephalographic Activity during Nonrapid Eye Movement Sleep in Chronic Insomnia: A Pilot Study.

Authors:  Brady A Riedner; Michael R Goldstein; David T Plante; Meredith E Rumble; Fabio Ferrarelli; Giulio Tononi; Ruth M Benca
Journal:  Sleep       Date:  2016-04-01       Impact factor: 5.849

4.  Sex differences in objective measures of sleep in post-traumatic stress disorder and healthy control subjects.

Authors:  Anne Richards; Thomas J Metzler; Leslie M Ruoff; Sabra S Inslicht; Madhu Rao; Lisa S Talbot; Thomas C Neylan
Journal:  J Sleep Res       Date:  2013-06-14       Impact factor: 3.981

Review 5.  Spindle Oscillations in Sleep Disorders: A Systematic Review.

Authors:  Oren M Weiner; Thien Thanh Dang-Vu
Journal:  Neural Plast       Date:  2016-03-10       Impact factor: 3.599

6.  Sleep Spindles Characteristics in Insomnia Sufferers and Their Relationship with Sleep Misperception.

Authors:  Marie-Pier Normand; Patrick St-Hilaire; Célyne H Bastien
Journal:  Neural Plast       Date:  2016-07-11       Impact factor: 3.599

7.  Sleep EEG characteristics associated with total sleep time misperception in young adults: an exploratory study.

Authors:  Biyun Xu; Qinghao Cai; Runru Mai; Hailong Liang; Jiayu Huang; Zhimin Yang
Journal:  Behav Brain Funct       Date:  2022-01-24       Impact factor: 3.759

8.  Validity of an algorithm for determining sleep/wake states using FS-760 in school-aged children.

Authors:  Minori Enomoto; Shingo Kitamura; Kyoko Nakazaki
Journal:  J Physiol Anthropol       Date:  2022-08-18       Impact factor: 2.509

9.  HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations.

Authors:  Lee Gerdes; Peter Gerdes; Sung W Lee; Charles H Tegeler
Journal:  Brain Behav       Date:  2013-01-14       Impact factor: 2.708

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.