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Eyamu J, Kim WS, Kim K, Lee KH, Kim JU. Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment. Alzheimers Res Ther 2024; 16:83. [PMID: 38615028 PMCID: PMC11015694 DOI: 10.1186/s13195-024-01452-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 04/04/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND The worldwide trend of demographic aging highlights the progress made in healthcare, albeit with health challenges like Alzheimer's Disease (AD), prevalent in individuals aged 65 and above. Its early detection at the mild cognitive impairment (MCI) stage is crucial. Event-related potentials (ERPs) obtained by averaging EEG segments responded to repeated events are vital for cognitive impairment research. Consequently, examining intra-trial ERP variability is vital for comprehending fluctuations within psychophysiological processes of interest. This study aimed to investigate cognitive deficiencies and instability in MCI using ERP variability and its asymmetry from a prefrontal two-channel EEG device. METHODS In this study, ERP variability for both target and non-target responses was examined using the response variance curve (RVC) in a sample comprising 481 participants with MCI and 1,043 age-matched healthy individuals. The participants engaged in auditory selective attention tasks. Cognitive decline was assessed using the Seoul Neuropsychological Screening Battery (SNSB) and the Mini-Mental State Examination (MMSE). The research employed various statistical methods, including independent t-tests, and univariate and multiple logistic regression analyses. These analyses were conducted to investigate group differences and explore the relationships between neuropsychological test results, ERP variability and its asymmetry measures, and the prevalence of MCI. RESULTS Our results showed that patients with MCI exhibited unstable cognitive processing, characterized by increased ERP variability compared to cognitively normal (CN) adults. Multiple logistic regression analyses confirmed the association between ERP variability in the target and non-target responses with MCI prevalence, independent of demographic and neuropsychological factors. DISCUSSION The unstable cognitive processing in the MCI group compared to the CN individuals implies abnormal neurological changes and reduced and (or) unstable attentional maintenance during cognitive processing. Consequently, utilizing ERP variability measures from a portable EEG device could serve as a valuable addition to the conventional ERP measures of latency and amplitude. This approach holds significant promise for identifying mild cognitive deficits and neural alterations in individuals with MCI.
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Affiliation(s)
- Joel Eyamu
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea
- KM Convergence Science, University of Science and Technology, Daejeon, South Korea
| | - Wuon-Shik Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Kahye Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Kun Ho Lee
- Gwangju Alzheimer's Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Biomedical Science, Chosun University, Gwangju, South Korea
- Dementia Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Jaeuk U Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea.
- KM Convergence Science, University of Science and Technology, Daejeon, South Korea.
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Okumura E, Hoshi H, Morise H, Okumura N, Fukasawa K, Ichikawa S, Asakawa T, Shigihara Y. Reliability of Spectral Features of Resting-State Brain Activity: A Magnetoencephalography Study. Cureus 2024; 16:e52637. [PMID: 38249648 PMCID: PMC10799710 DOI: 10.7759/cureus.52637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/20/2024] [Indexed: 01/23/2024] Open
Abstract
Background Cognition is a vital sign and its deterioration is a major concern in clinical medicine. It is usually evaluated using neuropsychological assessments, which have innate limitations such as the practice effect. To compensate for these assessments, the oscillatory power of resting-state brain activity has recently become available. The power is obtained noninvasively using magnetoencephalography and is summarized by spectral parameters such as the median frequency (MF), individual alpha frequency (IAF), spectral edge frequency 95 (SEF95), and Shannon's spectral entropy (SSE). As these parameters are less sensitive to practice effects, they are suitable for longitudinal studies. However, their reliability remains unestablished, hindering their proactive use in clinical practice. Therefore, we aimed to quantify the within-participant reliability of these parameters using repeated measurements of healthy participants to facilitate their clinical use and to evaluate the observed changes/differences in these parameters reported in previous studies. Methodology Resting-state brain activity with eyes closed was recorded using magnetoencephalography for five minutes from 15 healthy individuals (29.3 ± 4.6 years old: ranging from 23 to 28 years old). The following four spectral parameters were calculated: MF, IAF, SEF95, and SSE. To quantify reliability, the minimal detectable change (MDC) and intraclass correlation coefficient (ICC) were computed for each parameter. In addition, we used MDCs to evaluate the changes and differences in the spectral parameters reported in previous longitudinal and cross-sectional studies. Results The MDC at 95% confidence interval (MDC95) of MF, IAF, SEF95, and SSE were 0.61 Hz, 0.44 Hz, 2.91 Hz, and 0.028, respectively. The ICCs of these parameters were 0.96, 0.92, 0.94, and 0.83, respectively. The MDC95 of these parameters was smaller than the mean difference in the parameters between cognitively healthy individuals and patients with dementia, as reported in previous studies. Conclusions The spectral parameter changes/differences observed in prior studies were not attributed to measurement errors but rather reflected genuine effects. Furthermore, all spectral parameters exhibited high ICCs (>0.8), underscoring their robust within-participant reliability. Our results support the clinical use of these parameters, especially in the longitudinal monitoring and evaluation of the outcomes of interventions.
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Affiliation(s)
- Eiichi Okumura
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
| | - Hideyuki Hoshi
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
- Precision Medicine Centre, Hokuto Hospital, Obihiro, JPN
| | - Hirofumi Morise
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
| | - Naohiro Okumura
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
| | - Keisuke Fukasawa
- Precision Medicine Centre, Kumagaya General Hospital, Kumagaya, JPN
| | - Sayuri Ichikawa
- Precision Medicine Centre, Kumagaya General Hospital, Kumagaya, JPN
| | - Takashi Asakawa
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
| | - Yoshihito Shigihara
- Precision Medicine Centre, Hokuto Hospital, Obihiro, JPN
- Precision Medicine Centre, Kumagaya General Hospital, Kumagaya, JPN
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Kim J, Park S, Kim KN, Ha Y, Shin SJ, Cha W, Lee KY, Choi J, Koo BN. Resting-state prefrontal EEG biomarker in correlation with postoperative delirium in elderly patients. Front Aging Neurosci 2023; 15:1224264. [PMID: 37818480 PMCID: PMC10561289 DOI: 10.3389/fnagi.2023.1224264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/11/2023] [Indexed: 10/12/2023] Open
Abstract
Postoperative delirium (POD) is associated with adverse outcomes in elderly patients after surgery. Electroencephalography (EEG) can be used to develop a potential biomarker for degenerative cerebral dysfunctions, including mild cognitive impairment and dementia. This study aimed to explore the relationship between preoperative EEG and POD. We included 257 patients aged >70 years who underwent spinal surgery. We measured the median dominant frequency (MDF), which is a resting-state EEG biomarker involving intrinsic alpha oscillations that reflect an idle cortical state, from the prefrontal regions. Additionally, the mini-mental state examination and Montreal cognitive assessment (MoCA) were performed before surgery as well as 5 days after surgery. For long-term cognitive function follow up, the telephone interview for cognitive status™ (TICS) was performed 1 month and 1 year after surgery. Fifty-two (20.2%) patients were diagnosed with POD. A multivariable logistic regression analysis that included age, MoCA score, Charlson comorbidity index score, Mini Nutritional Assessment, and the MDF as variables revealed that the MDF had a significant odds ratio of 0.48 (95% confidence interval 0.27-0.85). Among the patients with POD, the postoperative neurocognitive disorders could last up to 1 year. Low MDF on preoperative EEG was associated with POD in elderly patients undergoing surgery. EEG could be a novel potential tool for identifying patients at a high risk of POD.
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Affiliation(s)
- Jeongmin Kim
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sujung Park
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Keung-Nyun Kim
- Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yoon Ha
- Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- POSTECH Biotech Center, Pohang University of Science and Technology, Pohang, Republic of Korea
| | - Sang-Jun Shin
- Department of Biomedical Systems Informatics, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Wonseok Cha
- Human Anti-Aging Standards Research Institute, Gyeongsangnam-Do, Republic of Korea
| | - Ki-young Lee
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jungmi Choi
- Human Anti-Aging Standards Research Institute, Gyeongsangnam-Do, Republic of Korea
| | - Bon-Nyeo Koo
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
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