Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysis
Background: This investigation probed the neurophysiological disparities between patients with bipolar disorder (BD) and healthy controls (HC) utilizing resting-state electroencephalography (rs-EEG) microstate (MS) analysis. The study, conducted at Keio University Hospital from 2017 to 2023, sought...
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| Language: | English |
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Elsevier
2025-04-01
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| Series: | Journal of Affective Disorders Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666915325000216 |
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| author | Keita Taniguchi Naotsugu Kaneko Masataka Wada Mayuko Takano Sotato Moriyama Yu Mimura Hiroyuki Uchida Shinichiro Nakajima Yoshihiro Noda |
| author_facet | Keita Taniguchi Naotsugu Kaneko Masataka Wada Mayuko Takano Sotato Moriyama Yu Mimura Hiroyuki Uchida Shinichiro Nakajima Yoshihiro Noda |
| author_sort | Keita Taniguchi |
| collection | DOAJ |
| description | Background: This investigation probed the neurophysiological disparities between patients with bipolar disorder (BD) and healthy controls (HC) utilizing resting-state electroencephalography (rs-EEG) microstate (MS) analysis. The study, conducted at Keio University Hospital from 2017 to 2023, sought to differentiate BD from HC for early detection. Methods: The study included 36 BD (average age: 48.3 years) and 36 age- and sex-matched HC (average age: 47.8 years). Participants underwent a 5-min rs-EEG recording with eyes closed. MS analysis focused on the duration, occurrence, and coverage of MS (A − E) transitions. Comparisons were executed using Mann-Whitney U tests, and a logistic regression model distinguished the groups based on these MS indices. Results: Patients with BD exhibited a shorter MS-D duration (p < 0.001) and longer MS-C (p = 0.027) and MS-E (p = 0.020) durations compared to HC. The occurrence and coverage of MS-D were significantly lower in BD (p < 0.001 for both). The logistic regression model accurately classified 84.7% of cases (χ2(3)=42.03, p < 0.001). Limitations: Limitations include the potential influence of medication on MS dynamics and the cross-sectional design, which prevents causal conclusions. Longitudinal studies are required to comprehend the relationship between MS alterations and BD symptoms. Conclusion: Decreased MS-D indices, along with increased MS-C and MS-E indices in BD, imply dysfunction in the frontoparietal network and impairments in the default mode and salience networks. The altered temporal dynamics of rs-EEG MSs provide a unique neurophysiological profile of BD, suggesting that MS indices could potentially serve as neurophysiological markers for BD diagnosis. |
| format | Article |
| id | doaj-art-e593074f836b4bd0aae54ca339dd754e |
| institution | OA Journals |
| issn | 2666-9153 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Affective Disorders Reports |
| spelling | doaj-art-e593074f836b4bd0aae54ca339dd754e2025-08-20T02:19:10ZengElsevierJournal of Affective Disorders Reports2666-91532025-04-012010089110.1016/j.jadr.2025.100891Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysisKeita Taniguchi0Naotsugu Kaneko1Masataka Wada2Mayuko Takano3Sotato Moriyama4Yu Mimura5Hiroyuki Uchida6Shinichiro Nakajima7Yoshihiro Noda8Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, 160-8582, JapanDepartment of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, 153-8902, JapanDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, 160-8582, Japan; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USADepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, 160-8582, Japan; Teijin Pharma Ltd., Tokyo, 191-8512, JapanDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, 160-8582, JapanDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, 160-8582, JapanDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, 160-8582, JapanDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, 160-8582, JapanDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, 160-8582, Japan; Department of Psychiatry, International University of Health and Welfare, Mita Hospital, Tokyo, 108-8329, Japan; Corresponding author at: Multidisciplinary Translational Research Lab, Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.Background: This investigation probed the neurophysiological disparities between patients with bipolar disorder (BD) and healthy controls (HC) utilizing resting-state electroencephalography (rs-EEG) microstate (MS) analysis. The study, conducted at Keio University Hospital from 2017 to 2023, sought to differentiate BD from HC for early detection. Methods: The study included 36 BD (average age: 48.3 years) and 36 age- and sex-matched HC (average age: 47.8 years). Participants underwent a 5-min rs-EEG recording with eyes closed. MS analysis focused on the duration, occurrence, and coverage of MS (A − E) transitions. Comparisons were executed using Mann-Whitney U tests, and a logistic regression model distinguished the groups based on these MS indices. Results: Patients with BD exhibited a shorter MS-D duration (p < 0.001) and longer MS-C (p = 0.027) and MS-E (p = 0.020) durations compared to HC. The occurrence and coverage of MS-D were significantly lower in BD (p < 0.001 for both). The logistic regression model accurately classified 84.7% of cases (χ2(3)=42.03, p < 0.001). Limitations: Limitations include the potential influence of medication on MS dynamics and the cross-sectional design, which prevents causal conclusions. Longitudinal studies are required to comprehend the relationship between MS alterations and BD symptoms. Conclusion: Decreased MS-D indices, along with increased MS-C and MS-E indices in BD, imply dysfunction in the frontoparietal network and impairments in the default mode and salience networks. The altered temporal dynamics of rs-EEG MSs provide a unique neurophysiological profile of BD, suggesting that MS indices could potentially serve as neurophysiological markers for BD diagnosis.http://www.sciencedirect.com/science/article/pii/S2666915325000216Bipolar disorderCognitive functionMicrostate analysisResting-state EEG |
| spellingShingle | Keita Taniguchi Naotsugu Kaneko Masataka Wada Mayuko Takano Sotato Moriyama Yu Mimura Hiroyuki Uchida Shinichiro Nakajima Yoshihiro Noda Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysis Journal of Affective Disorders Reports Bipolar disorder Cognitive function Microstate analysis Resting-state EEG |
| title | Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysis |
| title_full | Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysis |
| title_fullStr | Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysis |
| title_full_unstemmed | Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysis |
| title_short | Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysis |
| title_sort | identification of neurophysiological signatures of bipolar disorder by resting state eeg microstate analysis |
| topic | Bipolar disorder Cognitive function Microstate analysis Resting-state EEG |
| url | http://www.sciencedirect.com/science/article/pii/S2666915325000216 |
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