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Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state

BACKGROUND: Bipolar disorder is a chronic and highly recurrent mental disorder that can be classified as bipolar type I (BD I) and bipolar type II (BD II). BD II is sometimes taken as a milder form of BD I or even doubted as an independent subtype. However, the fact that symptoms and severity differ...

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Autores principales: Liu, Wen, Jiang, Xiaowei, Deng, Zijing, Jia, Linna, Sun, Qikun, Kong, Lingtao, Wu, Feng, Tang, Yanqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472068/
https://www.ncbi.nlm.nih.gov/pubmed/36095891
http://dx.doi.org/10.1016/j.nicl.2022.103184
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author Liu, Wen
Jiang, Xiaowei
Deng, Zijing
Jia, Linna
Sun, Qikun
Kong, Lingtao
Wu, Feng
Tang, Yanqing
author_facet Liu, Wen
Jiang, Xiaowei
Deng, Zijing
Jia, Linna
Sun, Qikun
Kong, Lingtao
Wu, Feng
Tang, Yanqing
author_sort Liu, Wen
collection PubMed
description BACKGROUND: Bipolar disorder is a chronic and highly recurrent mental disorder that can be classified as bipolar type I (BD I) and bipolar type II (BD II). BD II is sometimes taken as a milder form of BD I or even doubted as an independent subtype. However, the fact that symptoms and severity differ in patients with BD I and BD II suggests different pathophysiologies and underlying neurobiological mechanisms. In this study, we aimed to explore the shared and unique functional abnormalities between subtypes. METHODS: The dynamic amplitude of low-frequency fluctuation (dALFF) was performed to compare 31 patients with BD I, 32 with BD II, and 79 healthy controls (HCs). Global dALFF was calculated using sliding-window analysis. Group differences in dALFF among the 3 groups were compared using analysis of covariance (ANCOVA), with covariates of age, sex, years of education, and mean FD, and Bonferroni correction was applied for post hoc analysis. Pearson and Spearman's correlations were conducted between clusters with significant differences and clinical features in the BD I and BD II groups, after which false error rate (FDR) was used for correction. RESULTS: We found a significant decrease in dALFF values in BD patients compared with HCs in the following brain regions: the bilateral-side inferior frontal gyrus (including the triangular, orbital, and opercular parts), inferior temporal gyrus, the medial part of the superior frontal gyrus, middle frontal gyrus, anterior cingulum, insula gyrus, lingual gyrus, calcarine gyrus, precuneus gyrus, cuneus gyrus, left-side precentral gyrus, postcentral gyrus, inferior parietal gyrus, superior temporal pole gyrus, middle temporal gyrus, middle occipital gyrus, superior occipital gyrus and right-side fusiform gyrus, parahippocampal gyrus, hippocampus, middle cingulum, orbital part of the medial frontal gyrus and superior frontal gyrus. Unique alterations in BD I were observed in the right-side supramarginal gyrus and postcentral gyrus. In addition, dALFF values in BD II were significantly higher than those in BD I in the right superior temporal gyrus and middle temporal gyrus. The variables of dALFF correlated with clinical characteristics differently according to the subtypes, but no correlations survived after FDR correction. LIMITATIONS: Our study was cross-sectional. Most of our patients were on medication, and the sample was limited. CONCLUSIONS: Our findings demonstrated neurobiological characteristics of BD subtypes, providing evidence for BD II as an independent existence, which could be the underlying explanation for the specific symptoms and/or severity and point to potential biomarkers for the differential diagnosis of bipolar subtypes.
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spelling pubmed-94720682022-09-15 Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state Liu, Wen Jiang, Xiaowei Deng, Zijing Jia, Linna Sun, Qikun Kong, Lingtao Wu, Feng Tang, Yanqing Neuroimage Clin Regular Article BACKGROUND: Bipolar disorder is a chronic and highly recurrent mental disorder that can be classified as bipolar type I (BD I) and bipolar type II (BD II). BD II is sometimes taken as a milder form of BD I or even doubted as an independent subtype. However, the fact that symptoms and severity differ in patients with BD I and BD II suggests different pathophysiologies and underlying neurobiological mechanisms. In this study, we aimed to explore the shared and unique functional abnormalities between subtypes. METHODS: The dynamic amplitude of low-frequency fluctuation (dALFF) was performed to compare 31 patients with BD I, 32 with BD II, and 79 healthy controls (HCs). Global dALFF was calculated using sliding-window analysis. Group differences in dALFF among the 3 groups were compared using analysis of covariance (ANCOVA), with covariates of age, sex, years of education, and mean FD, and Bonferroni correction was applied for post hoc analysis. Pearson and Spearman's correlations were conducted between clusters with significant differences and clinical features in the BD I and BD II groups, after which false error rate (FDR) was used for correction. RESULTS: We found a significant decrease in dALFF values in BD patients compared with HCs in the following brain regions: the bilateral-side inferior frontal gyrus (including the triangular, orbital, and opercular parts), inferior temporal gyrus, the medial part of the superior frontal gyrus, middle frontal gyrus, anterior cingulum, insula gyrus, lingual gyrus, calcarine gyrus, precuneus gyrus, cuneus gyrus, left-side precentral gyrus, postcentral gyrus, inferior parietal gyrus, superior temporal pole gyrus, middle temporal gyrus, middle occipital gyrus, superior occipital gyrus and right-side fusiform gyrus, parahippocampal gyrus, hippocampus, middle cingulum, orbital part of the medial frontal gyrus and superior frontal gyrus. Unique alterations in BD I were observed in the right-side supramarginal gyrus and postcentral gyrus. In addition, dALFF values in BD II were significantly higher than those in BD I in the right superior temporal gyrus and middle temporal gyrus. The variables of dALFF correlated with clinical characteristics differently according to the subtypes, but no correlations survived after FDR correction. LIMITATIONS: Our study was cross-sectional. Most of our patients were on medication, and the sample was limited. CONCLUSIONS: Our findings demonstrated neurobiological characteristics of BD subtypes, providing evidence for BD II as an independent existence, which could be the underlying explanation for the specific symptoms and/or severity and point to potential biomarkers for the differential diagnosis of bipolar subtypes. Elsevier 2022-09-07 /pmc/articles/PMC9472068/ /pubmed/36095891 http://dx.doi.org/10.1016/j.nicl.2022.103184 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Liu, Wen
Jiang, Xiaowei
Deng, Zijing
Jia, Linna
Sun, Qikun
Kong, Lingtao
Wu, Feng
Tang, Yanqing
Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state
title Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state
title_full Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state
title_fullStr Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state
title_full_unstemmed Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state
title_short Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state
title_sort altered dynamic amplitude of low-frequency fluctuation between bipolar type i and type ii in the depressive state
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472068/
https://www.ncbi.nlm.nih.gov/pubmed/36095891
http://dx.doi.org/10.1016/j.nicl.2022.103184
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