Journal of Yeungnam Medical Science

Review article

Advances, challenges, and prospects of electroencephalography-based biomarkers for psychiatric disorders: a narrative review: Seokho Yun; J Yeungnam Med Sci. 2024;41(4):261-268. Published online September 9, 2024; DOI: https://doi.org/10.12701/jyms.2024.00668

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Abstract PDF: Owing to a lack of appropriate biomarkers for accurate diagnosis and treatment, psychiatric disorders cause significant distress and functional impairment, leading to social and economic losses. Biomarkers are essential for diagnosing, predicting, treating, and monitoring various diseases. However, their absence in psychiatry is linked to the complex structure of the brain and the lack of direct monitoring modalities. This review examines the potential of electroencephalography (EEG) as a neurophysiological tool for identifying psychiatric biomarkers. EEG noninvasively measures brain electrophysiological activity and is used to diagnose neurological disorders, such as depression, bipolar disorder (BD), and schizophrenia, and identify psychiatric biomarkers. Despite extensive research, EEG-based biomarkers have not been clinically utilized owing to measurement and analysis constraints. EEG studies have revealed spectral and complexity measures for depression, brainwave abnormalities in BD, and power spectral abnormalities in schizophrenia. However, no EEG-based biomarkers are currently used clinically for the treatment of psychiatric disorders. The advantages of EEG include real-time data acquisition, noninvasiveness, cost-effectiveness, and high temporal resolution. Challenges such as low spatial resolution, susceptibility to interference, and complexity of data interpretation limit its clinical application. Integrating EEG with other neuroimaging techniques, advanced signal processing, and standardized protocols is essential to overcome these limitations. Artificial intelligence may enhance EEG analysis and biomarker discovery, potentially transforming psychiatric care by providing early diagnosis, personalized treatment, and improved disease progression monitoring.

Focused Review article

Understanding insomnia as systemic disease: Seokho Yun, Sohye Jo; Yeungnam Univ J Med. 2021;38(4):267-274. Published online September 13, 2021; DOI: https://doi.org/10.12701/yujm.2021.01424

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4 Crossref

Sleep plays a critical role in homeostasis of the body and mind. Insomnia is a disease that causes disturbances in the initiation and maintenance of sleep. Insomnia is known to affect not only the sleep process itself but also an individual’s cognitive function and emotional regulation during the daytime. It increases the risk of various neuropsychiatric diseases such as depression, anxiety disorder, and dementia. Although it might appear that insomnia only affects the nervous system, it is also a systemic disease that affects several aspects of the body, such as the cardiovascular, endocrine, and immune systems; therefore, it increases the risk of various diseases such as hypertension, diabetes mellitus, and infection. Insomnia has a wide range of effects on our bodies because sleep is a complex and active process. However, a high proportion of patients with insomnia do not seek treatment, which results in high direct and indirect costs. This is attributed to the disregard of many of the negative effects of insomnia. Therefore, we expect that understanding insomnia as a systemic disease will provide an opportunity to understand the condition better and help prevent secondary impairment due to insomnia.

Citations

Citations to this article as recorded by

Medical service utilization patterns among adults with insomnia: A retrospective cohort study
Min Kyung Hyun, Jang Won Lee
European Journal of Integrative Medicine.2024; 67: 102325. CrossRef
Socio-Ecological Context of Sleep: Gender Differences and Couples’ Relationships as Exemplars
Andrea N. Decker, Alexandra R. Fischer, Heather E. Gunn
Current Psychiatry Reports.2022; 24(12): 831. CrossRef
Clinical Spectrum and Trajectory of Innovative Therapeutic Interventions for Insomnia: A Perspective
Yun-Jo Lo, Viraj Krishna Mishra, Hung-Yao Lo, Navneet Kumar Dubey, Wen-Cheng Lo
Aging and disease.2022;[Epub] CrossRef
Understanding sleep and sleep disturbances in autism spectrum disorder, and management of insomnia: an update
Hye-Geum Kim
Yeungnam University Journal of Medicine.2021; 38(4): 265. CrossRef

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