title: Electroencephalogram associations to cognitive performance in clinically active nurses.
abstract: Cognitive impairment is traditionally identified via cognitive screening tools that have limited ability in detecting early or transitional stages of impairment. The dynamic nature of physiological variables such as the electroencephalogram (EEG) may provide alternate means for detecting these transitions. However, previous research examining EEG and cognitive performance is largely confined to samples with diagnosed cognitive impairments, and research examining non-impaired, and occupation specific samples, is limited. The present study aimed to investigate the associations between frontal pole and central EEG and cognitive performance in a sample of male and female nurses, and to determine the significance of these associations. Fifty seven nurses participated in the study, in which two lead bipolar EEG was recorded at positions Fp1 (frontal polar), Fp2, C3 (central) and C4 during a baseline and an active phase involving the common neuropsychological Stroop test. Participants' cognitive performance was assessed using the mini-mental state exam (MMSE) and Cognistat screening tools. Significant correlations between EEG beta activity and the outcome of MMSE and Cognistat were revealed, where an increased beta activity was associated to an increased global cognitive performance. Additionally, domain specific cognitive performance was also significantly associated to various EEG variables. The study identified potential EEG biomarkers for global and domain specific cognitive performance, and provides initial groundwork for the development of future EEG based biomarkers for detection of cognitive pathologies.
authors.affiliation: Neuroscience Research Unit, School of Life Sciences, University of Technology, Sydney PO Box 123, Broadway NSW 2007, Australia.
authors.forename: Ty
authors.initials: T
authors.lastname: Lees
authors.forename: Rami
authors.initials: R
authors.lastname: Khushaba
authors.forename: Sara
authors.initials: S
authors.lastname: Lal
mesh_terms: D000328:Adult; D001611:Beta Rhythm; D001921:Brain / Q000000981:diagnostic imaging* / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D003072:Cognition Disorders / Q000000981:diagnostic imaging / Q000503:physiopathology; D004569:Electroencephalography; D005260:Female; D006801:Humans; D007600:Judgment / Q000502:physiology; D008297:Male; D008568:Memory / Q000502:physiology; D008609:Mental Status Schedule; D009726:Nurses / Q000523:psychology; D012815:Signal Processing, Computer-Assisted; D057190:Stroop Test