Introduction

Bipolar disorder (BD) is a potentially lifelong condition characterized by extreme changes in mood with high incidences of hyperactivity, irritability, grandiosity, poor judgment, and other symptoms, all of which are highly likely to lead to aggressive behavior [1]. Impulsive aggression is common amongst BD patients. Notably, aggressive behavior in BD patients show a direct prognostic value, which links to suicidal behaviors, more frequent hospitalizations, higher severity of mania symptoms, mixed symptoms, and comorbid borderline personality disorder [2]. A characteristic of BD emerges as hindrance towards an individual’s ability to perceive risk and protect themselves, which make them vulnerable to physical assault [3]. Given the risk of hurting others and self-harm, patients with BD have profound effects on society and family numbers.

The etiology of BD is unknown; however, factors such as genetics, biological traits, and environment have been proposed for consideration in the pathogenesis of BD [4]. For patients with BD who are experiencing disease episode, emergency departments or psychiatric emergency department (PED) are often their preferred choice for medical treatment. The highest prevalence of aggressive behavior occur in acute care settings (12.5–61.8%) [5, Full size image

Node-specific predictive betweenness measure

Researchers have found that “Testosterone” plays an important role in aggressive behavior in previous studies [22]. Figure 4 shows the node-specific predictive betweenness values for each node in the network. The white dots represent the node-specific predictive betweenness in the study sample, while the black lines represent the variability of the measure across 1000 nonparametric bootstrap iterations. YMRS6 (“Speech–rate and amount”) has the highest node-specific predictive betweenness score, followed by YMRS5 (“Irritability”). This finding suggests that “Speech–rate and amount” and “Irritability” may be the main bridge symptoms between testosterone levels, manic symptoms, and aggression (Fig. 4).

Fig. 4
figure 4

Node-specific predictive betweenness.

Network comparison tests by gender

The comparison of the network model by gender did not reveal significant differences in network global strength (network strength: 11.37 in female participants; 11.40 male participants; M = 0.214, P = 0.571) and edge weights (S = 0.026, P = 0.969, Supplementary Figs. S1S4).