Abstract
Anxiety, depression, and schizophrenia are complex psychiatric disorders characterized by disruptions in neural circuits, neurotransmitter systems, and brain connectivity, resulting in impairments in emotional regulation and cognitive functioning. This review examines the genetic, environmental, and neurobiological factors influencing these conditions, empha sizing the critical roles of neurotransmitters such as serotonin, dopamine, and norepinephrine in mood regulation, stress response, and neuroplasticity. These findings underscore the need for personalized treatment approaches. The review also explores integrative strategies that combine pharmacological interventions with non-pharmacological modalities, including acupuncture, herbal medicine, and mindfulness, which show promise for individualized care. Advances in neuro imaging and neurostimulation techniques, such as eigenvector centrality mapping and machine learning-driven analyses, provide deeper insights into brain connectivity and enable more targeted interventions. This is particularly significant for schizophrenia, where dopamine-mediated disruptions in striatal-prefrontal connectivity contribute to cognitive deficits and clinical symptoms. However, current limitations, such as an inadequate understanding of the neural circuits underlying these disorders and the limited effectiveness of conventional treatments for certain subgroups, highlight critical gaps in existing research and therapeutic approaches. Furthermore, the article discusses how integrating computational models with traditional medicine enhances our understanding of neurotransmitter interactions and neural pathways. This integration fosters innovative therapies that address both immediate symptoms and long-term resilience. This interdisciplinary approach bridges basic neuroscience and clinical practice, paving the way for effective, personalized treatments and offering renewed hope for individuals with psychiatric disorders.

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