# Digital twin brain modeling of disease progression trajectories and network perturbation maps in unipolar and bipolar disorders - URL: https://alisanburak.com/en/wcp-2026-posterler/ev0839 - Language: en - Last updated: not specified - Page title: Digital twin brain modeling of disease progression trajectories and network perturbation maps in unipolar and bipolar disorders | WCP 2026 Summary > Digital twin brain modeling shows that bipolar and unipolar disorders follow different developmental brain network trajectories despite similar clinical presen… This page was translated automatically from Turkish. [Read the original](https://alisanburak.com/wcp-2026-posterler/ev0839) This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it. EV0839 E-PosterNeuroscience and ImagingComputational modeling study # Digital twin brain modeling of disease progression trajectories and network perturbation maps in unipolar and bipolar disorders DIGITAL TWIN BRAIN MODELING OF DISEASE PROGRESSION TRAJECTORIES AND NETWORK PERTURBATION LANDSCAPES IN UNIPOLAR AND BIPOLAR DISORDERS Presenter: Junneng Shao Country: China Institution: The Affiliated Brain Hospital of Nanjing Medical University, Department of Psychiatry Digital twin brain modeling shows that bipolar and unipolar disorders follow different developmental brain network trajectories despite similar clinical presentations during depressive episodes, and highlights the default mode network (DMN) as a common stimulation target. Motivated by the lack of objective biomarkers due to interindividual and temporal heterogeneity in psychiatric disorders, and by the frequent misdiagnosis of early-stage bipolar disorder (BD) as unipolar disorder (UD), the study aimed to develop a digital twin brain (DTB) framework to infer disease progression trajectories from a healthy state to UD or BD. Using multimodal neuroimaging data, whole-brain dynamics were modeled in 166 healthy controls, 179 patients with UD, 72 patients with depression who subsequently transitioned to BD (tBD), and 138 patients with BD. The method projected high-dimensional functional connectivity into a low-dimensional latent space to distinguish diagnostic groups; individualized DTBs were then constructed using empirical structural connectivity and a Hopf bifurcation model, with prior distributions relating to brain networks used to tune local model parameters. This framework enabled the inference of disease trajectories even in the absence of presymptomatic sample data; in the final stage, computational perturbation strategies (Sync, Noise, and Wave protocols) were used to systematically evaluate optimal stimulation targets capable of shifting pathological brain states toward healthy dynamical regimes. Although BD and UD show similar clinical symptoms during depressive episodes, their developmental trajectories differ: the BD trajectory begins with abnormalities in the somatomotor network, accompanied by abnormalities in the opposite direction in the default mode network (DMN), whereas the UD trajectory begins with abnormalities in the temporoparietal and subcortical networks. The DMN plays a key role in the treatment of both mood disorders; coordinated perturbations of the DMN and the executive control network were found to be effective in shifting all three pathological states to a healthy state, suggesting potential targets for brain stimulation therapies. Overall, the study proposes a comprehensive computational framework encompassing early-stage processes, divergent developmental trajectories, individualized trajectory assessment, and treatment selection in clinical research. [View the original poster](https://cslide.ctimeetingtech.com/wcp26/attendee/eposter/file/595) How to cite this study APA 7: Shao, J., Xue, L., Hua, L., & Wang, T. (2026, September 23-26). Digital twin brain modeling of disease progression trajectories and network perturbation landscapes in unipolar and bipolar disorders [E-poster]. 26th WPA World Congress of Psychiatry (WCP 2026), Stockholm, Sweden. https://cslide.ctimeetingtech.com/wcp26/attendee/eposter/file/595 Vancouver: Shao J, Xue L, Hua L, Wang T. Digital twin brain modeling of disease progression trajectories and network perturbation landscapes in unipolar and bipolar disorders [e-poster]. 26th WPA World Congress of Psychiatry (WCP 2026); 2026 Sep 23-26; Stockholm, Sweden. 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