Objective: To investigate the reliability of several well-known quantitative EEG (qEEG) features in the elderly in the resting, eyes closed condition and study the effects of epoch length and channel derivations on reliability.
Methods: Fifteen healthy adults, over 50 years of age, underwent 10 EEG recordings over a 2-month period. Various qEEG features derived from power spectral, coherence, entropy and complexity analysis of the EEG were computed. Reliability was quantified using an intraclass correlation coefficient.
Results: The highest reliability was obtained with the average montage, reliability increased with epoch length up to 40s, longer epochs gave only marginal improvement. The reliability of the qEEG features was highest for power spectral parameters, followed by regularity measures based on entropy and complexity, coherence being least reliable.
Conclusions: Montage and epoch length had considerable effects on reliability. Several apparently unrelated regularity measures had similar stability. Reliability of coherence measures was strongly dependent on channel location and frequency bands.
Significance: The reliability of regularity measures has until now received limited attention. Low reliability of coherence measures in general may limit their usefulness in the clinical setting.
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http://dx.doi.org/10.1016/j.clinph.2007.06.018 | DOI Listing |
Clin EEG Neurosci
January 2025
Division of Physiology and Neuroscience, Department of Functional Sciences, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Complex childhood trauma (CCT) involves prolonged exposure to severe interpersonal stressors, leading to deficits in executive functioning and self-regulation during adolescence, a critical period for neurodevelopment. While qEEG parameters, particularly alpha oscillations, have been proposed as potential biomarkers for trauma, empirical documentation in developmental samples is limited. .
View Article and Find Full Text PDFSci Rep
December 2024
State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210009, China.
The diagnostic and prognostic value of quantitative electroencephalogram (qEEG) in the the onset of postoperative delirium (POD) remains an area of inquiry. We aim to determine whether qEEG could assist in the diagnosis of early POD in cardiac surgery patients. We prospectively studied a cohort of cardiac surgery patients undergoing qEEG for evaluation of altered mental status.
View Article and Find Full Text PDFProbl Radiac Med Radiobiol
December 2024
State Institution «National Research Center of Radiation Medicine, Hematology and Oncology of the National Academy of Medical Sciences of Ukraine», 53 Yuriia Illienka Str., Kyiv, 04050, Ukraine.
Objective: to conduct a clinical and neurophysiological study of Chornobyl clean-up workers and military personnelof the Armed Forces of Ukraine (AFU) with previous coronavirus disease (COVID-19) and individuals of the comparison groups to study the impact of long-term effects of ionizing radiation, psychoemotional stress and previouscoronavirus infection on cerebral functioning.
Materials And Methods: A prospective clinical study of Chornobyl clean-up workers and servicemen of the ArmedForces of Ukraine (AFU) who had coronavirus disease (COVID-19) and individuals of the comparison groups. Themain group - 30 males participated in liquidating the consequences of the Chornobyl Nuclear Power Plant (ChNPP)accident with previously verified COVID-19 (Chornobyl clean-up workers).
Med Rev (2021)
December 2024
Department of Rehabilitation Medicine, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, Shaanxi, China.
Persistent motor deficits are highly prevalent among post-stroke survivors, contributing significantly to disability. Despite the prevalence of these deficits, the precise mechanisms underlying motor recovery after stroke remain largely elusive. The exploration of motor system reorganization using functional neuroimaging techniques represents a compelling yet challenging avenue of research.
View Article and Find Full Text PDFNeuropsychiatr Dis Treat
December 2024
Department of Neurology, College of Medicine, Chung-Ang University, Seoul, South Korea.
Purpose: This study aims to investigate using eyes-open (EO) and eyes-closed (EC) resting-state EEG data to diagnose cognitive impairment using machine learning methods, enhancing timely intervention and cost-effectiveness in dementia research.
Participants And Methods: A total of 890 participants aged 40-90 were included in the study, comprising 269 healthy controls (HC), 356 individuals with mild cognitive impairment (MCI), and 265 with Alzheimer's disease (AD) from a cohort study. Resting-state EEG (rEEG) signals were recorded and transformed into relative power spectral density (PSD) data for analysis.
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