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Cited 6 time in webofscience Cited 6 time in scopus
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Antidepressant-induced mania in panic disorder: a single-case study of clinical and functional connectivity characteristicsopen access

Authors
Kim, Byung-HoonKim, Seung-HyunHan, ChangsuJeong, Hyun-GhangLee, Moon-SooKim, Junhyung
Issue Date
May-2023
Publisher
Frontiers Media S.A.
Keywords
panic disorder; bipolar disorder; resting-state functional connectivity; amygdala; default mode network; frontoparietal network; biomarkers; antidepressant induced mania
Citation
Frontiers in Psychiatry, v.14
Indexed
SCIE
SSCI
SCOPUS
Journal Title
Frontiers in Psychiatry
Volume
14
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/63416
DOI
10.3389/fpsyt.2023.1205126
ISSN
1664-0640
Abstract
Background Mental health issues, including panic disorder (PD), are prevalent and often co-occur with anxiety and bipolar disorders. While panic disorder is characterized by unexpected panic attacks, and its treatment often involves antidepressants, there is a 20–40% risk of inducing mania (antidepressant-induced mania) during treatment, making it crucial to understand mania risk factors. However, research on clinical and neurological characteristics of patients with anxiety disorders who develop mania is limited. Methods In this single case study, we conducted a larger prospective study on panic disorder, comparing baseline data between one patient who developed mania (PD-manic) and others who did not (PD-NM group). We enrolled 27 patients with panic disorder and 30 healthy controls (HCs) and examined alterations in amygdala-based brain connectivity using a seed-based whole-brain approach. We also performed exploratory comparisons with healthy controls using ROI-to-ROI analyses and conducted statistical inferences at a threshold of cluster-level family-wise error-corrected p < 0.05, with the cluster-forming threshold at the voxel level of uncorrected p < 0.001. Results The patient with PD-mania showed lower connectivity in brain regions related to the default mode network (left precuneous cortex, maximum z-value within the cluster = −6.99) and frontoparietal network (right middle frontal gyrus, maximum z-value within the cluster = −7.38; two regions in left supramarginal gyrus, maximum z-value within the cluster = −5.02 and −5.86), and higher in brain regions associated with visual processing network (right lingual gyrus, maximum z-value within the cluster = 7.86; right lateral occipital cortex, maximum z-value within the cluster = 8.09; right medial temporal gyrus, maximum z-value within the cluster = 8.16) in the patient with PD-mania compared to the PD-NM group. One significantly identified cluster, the left medial temporal gyrus (maximum z-value within the cluster = 5.82), presented higher resting-state functional connectivity with the right amygdala. Additionally, ROI-to-ROI analysis revealed that significant clusters between PD-manic and PD-NM groups differed from HCs in the PD-manic group but not in the PD-NM group. Conclusion Here, we demonstrate altered amygdala-DMN and amygdala-FPN connectivity in the PD-manic patient, as reported in bipolar disorder (hypo) manic episodes. Our study suggests that amygdala-based resting-state functional connectivity could serve as a potential biomarker for antidepressant-induced mania in panic disorder patients. Our findings provide an advance in understanding the neurological basis of antidepressant-induced mania, but further research with larger cohorts and more cases is necessary for a broader perspective on this issue.
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Han, Changsu
Ansan Hospital (Department of Psychiatry, Ansan Hospital)
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