Neural Abnormalities in Bipolar Disorder: A Meta-Analysis of Functional Neuroimaging Studies
| Autor: | S. J. Herrera, F. A. Reyes, G. Johnson-Venegas, C. Baten, G. Zamora, A. M. Klassen, J. A. Miller, E. Woo, D. W. Hedges, P. J. Hamilton, I. H. Gotlib, M. D. Sacchet, C. H. Miller |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | European Psychiatry, Vol 67, Pp S441-S441 (2024) |
| Druh dokumentu: | article |
| ISSN: | 0924-9338 1778-3585 |
| DOI: | 10.1192/j.eurpsy.2024.914 |
| Popis: | Introduction Bipolar I disorder (BD-I) is a chronic and recurrent mood disorder characterized by alternating episodes of depression and mania; it is also associated with substantial morbidity and mortality and with clinically significant functional impairments. While previous studies have used functional magnetic resonance imaging (fMRI) to examine neural abnormalities associated with BD-I, they have yielded mixed findings, perhaps due to differences in sampling and experimental design, including highly variable mood states at the time of scan. Objectives The purpose of this study is to advance our understanding of the neural basis of BD-I and mania, as measured by fMRI activation studies, and to inform the development of more effective brain-based diagnostic systems and clinical treatments. Methods We conducted a large-scale meta-analysis of whole-brain fMRI activation studies that compared participants with BD-I, assessed during a manic episode, to age-matched healthy controls. Following PRISMA guidelines, we conducted a comprehensive PubMed literature search using two independent coding teams to evaluate primary studies according to pre-established inclusion criteria. We then used multilevel kernel density analysis (MKDA), a well-established, voxel-wise, whole-brain, meta-analytic approach, to quantitatively synthesize all qualifying primary fMRI activation studies of mania. We used ensemble thresholding (p |
| Databáze: | Directory of Open Access Journals |
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