Patterns of Neural Network Functional Connectivity Associated With Mania/Hypomania and Depression Risk in 3 Independent Young Adult Samples

轻躁症 狂躁 双相情感障碍 心理学 心情 临床心理学 精神科 萧条(经济学) 经济 宏观经济学
作者
Maya C. Schumer,Michele A. Bertocci,Haris Aslam,Simona Graur,Genna Bebko,Richelle Stiffler,Alexander S. Skeba,Tyler J. Brady,Osasumwen Benjamin,Yiming Wang,Henry W. Chase,Mary L. Phillips
出处
期刊:JAMA Psychiatry [American Medical Association]
卷期号:81 (2): 167-167 被引量:4
标识
DOI:10.1001/jamapsychiatry.2023.4150
摘要

Importance Mania/hypomania is the pathognomonic feature of bipolar disorder (BD). Established, reliable neural markers denoting mania/hypomania risk to help with early risk detection and diagnosis and guide the targeting of pathophysiologically informed interventions are lacking. Objective To identify patterns of neural responses associated with lifetime mania/hypomania risk, the specificity of such neural responses to mania/hypomania risk vs depression risk, and the extent of replication of findings in 2 independent test samples. Design, Setting, and Participants This cross-sectional study included 3 independent samples of young adults aged 18 to 30 years without BD or active substance use disorder within the past 3 months who were recruited from the community through advertising. Of 603 approached, 299 were ultimately included and underwent functional magnetic resonance imaging at the University of Pittsburgh, Pittsburgh, Pennsylvania, from July 2014 to May 2023. Main Outcomes and Measures Activity and functional connectivity to approach-related emotions were examined using a region-of-interest mask supporting emotion processing and emotional regulation. The Mood Spectrum Self-Report assessed lifetime mania/hypomania risk and depression risk. In the discovery sample, elastic net regression models identified neural variables associated with mania/hypomania and depression risk; multivariable regression models identified the extent to which selected variables were significantly associated with each risk measure. Multivariable regression models then determined whether associations in the discovery sample replicated in both test samples. Results A total of 299 participants were included. The discovery sample included 114 individuals (mean [SD] age, 21.60 [1.91] years; 80 female and 34 male); test sample 1, 103 individuals (mean [SD] age, 21.57 [2.09] years; 30 male and 73 female); and test sample 2, 82 individuals (mean [SD] age, 23.43 [2.86] years; 48 female, 29 male, and 5 nonbinary). Associations between neuroimaging variables and Mood Spectrum Self-Report measures were consistent across all 3 samples. Bilateral amygdala–left amygdala functional connectivity and bilateral ventrolateral prefrontal cortex–right dorsolateral prefrontal cortex functional connectivity were positively associated with mania/hypomania risk: discovery omnibus χ 2 = 1671.7 ( P < .001); test sample 1 omnibus χ 2 = 1790.6 ( P < .001); test sample 2 omnibus χ 2 = 632.7 ( P < .001). Bilateral amygdala–left amygdala functional connectivity and right caudate activity were positively associated and negatively associated with depression risk, respectively: discovery omnibus χ 2 = 2566.2 ( P < .001); test sample 1 omnibus χ 2 = 2935.9 ( P < .001); test sample 2 omnibus χ 2 = 1004.5 ( P < .001). Conclusions and Relevance In this study of young adults, greater interamygdala functional connectivity was associated with greater risk of both mania/hypomania and depression. By contrast, greater functional connectivity between ventral attention or salience and central executive networks and greater caudate deactivation were reliably associated with greater risk of mania/hypomania and depression, respectively. These replicated findings indicate promising neural markers distinguishing mania/hypomania–specific risk from depression-specific risk and may provide neural targets to guide and monitor interventions for mania/hypomania and depression in at-risk individuals.
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