Recent functional imaging studies demonstrated that brain exhibit coherent, synchronized activities during resting state and the dynamics may be impaired in various psychiatric illnesses. In order to investigate the change of neural dynamics in bipolar disorder, we used a new nonlinear measurement "similarity index" to analyze the magnetoencephalography (MEG) recordings and test the hypothesis that there are synchronization changes within different frequency bands in the frontal cortex of patients with bipolar disorder. Ten patients with bipolar I disorder during euthymic phase and ten normal controls underwent 2min eye-closed resting recording with a whole-head 306-channel MEG system. Eleven channels of MEG data from frontal area were selected for analysis. Synchronization level in the delta (2-4Hz), theta (4-8Hz), alpha (8-12Hz) and beta (12-24Hz) bands was calculated for each subject and compared across group. The results showed that significant dynamic changes in bipolar patients can be characterized by increased synchronization of slow frequency oscillations (delta) and decreased synchronization of fast frequency oscillations (beta). Furthermore, the positive correlation between beta synchronization level and preservative errors in Wisconcin card sorting task was found which would implicate the deficit of executive function in bipolar patients. Our findings indicate that analysis of spontaneous MEG recordings at resting state using nonlinear dynamic approaches may disclose the subtle regional changes of neural dynamics in BD.
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http://dx.doi.org/10.1016/j.neulet.2008.08.080 | DOI Listing |
J Affect Disord
January 2025
School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA. Electronic address:
It is one of the strategies to study the complexity of spontaneous fluctuation of brain neurons based on resting-state functional magnetic resonance imaging (rs-fMRI), but the multifractal characteristics of spontaneous fluctuation of brain neurons in psychiatric diseases need to be studied. Therefore, this paper will study the multifractal spontaneous brain activity changes in psychiatric disorders using the multifractal detrended fluctuation analysis algorithm based on the UCLA datasets. Specifically: (1) multifractal characteristics in adult attention deficit-hyperactivity disorder (ADHD), bipolar disorder (BP), and schizophrenia (SCHZ); (2) the source of those multifractal characteristics.
View Article and Find Full Text PDFEcotoxicol Environ Saf
January 2025
School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China; Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, China; Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China. Electronic address:
Background: The causal relationship between PM (particulate matter with an aerodynamic diameter ≤2.5 μm) and common mental disorders, along with its neuropathological mechanisms, remains unclear.
Methods: We used genome-wide association study datasets from the UK Biobank and Psychiatric Genomics Consortium to systematically investigate the causal relationship between PM and nine common psychiatric disorders using two-sample Mendelian randomization (TSMR) methods.
Cureus
December 2024
Psychiatry, Psychiatrisch Ziekenhuis Asster, Sint-Truiden, BEL.
Electroconvulsive therapy (ECT) is widely recognized as a safe and effective intervention for treating severe affective episodes in patients with bipolar disorder. However, it can sometimes precipitate unexpected manic phases in patients treated for a depressive episode, a phenomenon known as ECT-induced mania. While this occurrence is recognized, it remains poorly understood and minimally addressed in the literature.
View Article and Find Full Text PDFEClinicalMedicine
August 2024
Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, OX3 7JX, United Kingdom.
Background: While semaglutide, approved for type-2 diabetes mellitus (T2DM), is being investigated as a treatment for brain disorders, concerns over adverse neuropsychiatric events have emerged. More data are therefore needed to assess the effects of semaglutide on brain health. This study provides robust estimates of the risk of neurological and psychiatric outcomes following semaglutide use compared to three other antidiabetic medications.
View Article and Find Full Text PDFWe investigated small non-coding RNAs (sncRNAs) from the prefrontal cortex of 93 individuals diagnosed with schizophrenia (SCZ) or bipolar disorder (BD) and 77 controls. We uncovered recurring complex sncRNA profiles, with 98% of all sncRNAs being accounted for by miRNA isoforms (60.6%), tRNA-derived fragments (17.
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