Figure 2.

Integrated classification and predictive model based mainly on neuroimaging-genetic co-alteration features. We speculate that there are some common and specific characteristics influenced by neuroimaging-genetic basis and environmental factors in AVHs with different diagnostic types. These common and specific characteristics can provide information for early qualitative diagnosis and characterize the therapeutic targets of diseases. The common and specific neuroimaging-genetic features, as well as their dynamic change mode, can be investigated in AVHs with different diseases for the first episode through high-throughput sequencing and brain connectome. Based on the information, the early accurate diagnosis and treatment prediction model can be established and validated by pattern recognition technology. This prediction model can be applied in clinical practice to assist clinicians to identify the type as well as the prognosis of AVHs in the early stage, thus help clinicians optimize the treatment in the early stage. AVHs: Auditory verbal hallucinations.