Format

Send to

Choose Destination
Psychiatry Res. 2014 Dec 30;224(3):335-40. doi: 10.1016/j.pscychresns.2014.10.004. Epub 2014 Oct 14.

Recurrence analysis of the EEG during sleep accurately identifies subjects with mental health symptoms.

Author information

1
Division of Sleep Medicine, Department of Neurology, LSU Health Sciences Center, Shreveport, LA, USA.
2
Department of Pulmonary & Critical Care Medicine, Johns Hopkins Medicine, Baltimore, MD, USA.
3
School of Allied Health Professions, LSU Health Sciences Center, Shreveport, LA, USA.
4
Division of Sleep Medicine, Department of Neurology, LSU Health Sciences Center, Shreveport, LA, USA. Electronic address: andrewamarino@gmail.com.

Abstract

Analysis of brain recurrence (ABR) is a novel computational method that uses two variables for sleep depth and two for sleep fragmentation to quantify temporal changes in non-random brain electrical activity. We postulated that ABR of the sleep-staged EEG could identify an EEG signature specific for the presence of mental health symptoms. Using the Mental Health Inventory Questionnaire (MHI-5) as ground truth, psychological distress was assessed in a study cohort obtained from the Sleep Heart Health Study. Subjects with MHI-5 <50 (N=34) were matched for sex, BMI, age, and race with 34 subjects who had MHI-5 scores >50. Sixteen ABR markers derived from the EEG were analyzed using linear discriminant analysis to identify marker combinations that reliably classified individual subjects. A biomarker function computed from 12 of the markers accurately classified the subjects based on their MHI-5 scores (AUROC=82%). Use of additional markers did not improve classification accuracy. Subgroup analysis (20 highest and 20 lowest MHI-5 scores) improved classification accuracy (AUROC=89%). Biomarker values for individual subjects were significantly correlated with MHI-5 score (r=0.36, 0.54 for N=68, 40, respectively). ABR of EEGs obtained during sleep successfully classified subjects with regard to the severity of mental health symptoms, indicating that mood systems were reflected in brain electrical activity.

KEYWORDS:

AUROC; Biomarker; Brain recurrence; Electroencephalography; MHI-5; Mental disorders

[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center