Literature DB >> 27033540

Microsleeps are Associated with Stage-2 Sleep Spindles from Hippocampal-Temporal Network.

Yaqub Jonmohamadi1,2,3, Govinda R Poudel1,4,5, Carrie C R H Innes1,6, Richard D Jones1,2,6.   

Abstract

Behavioral microsleeps are associated with complete disruption of responsiveness for [Formula: see text][Formula: see text]s to 15[Formula: see text]s. They can result in injury or death, especially in transport and military sectors. In this study, EEGs were obtained from five nonsleep-deprived healthy male subjects performing a 1[Formula: see text]h 2D tracking task. Microsleeps were detected in all subjects. Microsleep-related activities in the EEG were detected, characterized, separated from eye closure-related activity, and, via source-space-independent component analysis and power analysis, the associated sources were localized in the brain. Microsleeps were often, but not always, found to be associated with strong alpha-band spindles originating bilaterally from the anterior temporal gyri and hippocampi. Similarly, theta-related activity was identified as originating bilaterally from the frontal-orbital cortex. The alpha spindles were similar to sleep spindles in terms of frequency, duration, and amplitude-profile, indicating that microsleeps are equivalent to brief instances of Stage-2 sleep.

Entities:  

Keywords:  Beamformer; EEG; ICA; hippocampi; localization; microsleeps; sleep spindles; temporal lobes

Mesh:

Year:  2016        PMID: 27033540     DOI: 10.1142/S0129065716500155

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  3 in total

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Authors:  Juan P Amezquita-Sanchez; Martin Valtierra-Rodriguez; Hojjat Adeli; Carlos A Perez-Ramirez
Journal:  J Med Syst       Date:  2018-08-16       Impact factor: 4.460

2.  Bilateral 5 Hz transcranial alternating current stimulation on fronto-temporal areas modulates resting-state EEG.

Authors:  Aurora D'Atri; Claudia Romano; Maurizio Gorgoni; Serena Scarpelli; Valentina Alfonsi; Michele Ferrara; Fabio Ferlazzo; Paolo Maria Rossini; Luigi De Gennaro
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

3.  A New Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death Detection.

Authors:  Olivia Vargas-Lopez; Juan P Amezquita-Sanchez; J Jesus De-Santiago-Perez; Jesus R Rivera-Guillen; Martin Valtierra-Rodriguez; Manuel Toledano-Ayala; Carlos A Perez-Ramirez
Journal:  Sensors (Basel)       Date:  2019-12-18       Impact factor: 3.576

  3 in total

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