Determining factors of neuroplasticity in patients with brain tumors: impact of connectome and artificial intelligence. A narrative review

Introduction: Neuroplasticity is a dynamic process by which the brain reorganizes its structure and function in response to internal and external stimuli. In patients with brain neoplasms, neuroplasticity is crucial for preserving or restoring function, as it enables compensation for the tumor-induced disruption of neuronal circuits. Understanding this adaptive capacity is vital for improving clinical outcomes. Areas covered: This review examines current research on neuroplasticity in the context of brain tumors. It explores how factors such as tumor location, molecular and genetic profiles, cognitive reserve, and DNA repair capacity influence neural adaptation. A comprehensive literature search was conducted using PubMed, Scopus, and Web of Science, focusing on studies related to neuroplasticity, connectome analysis, and artificial intelligence (AI) in neuro-oncology. The application of connectomics is discussed as a means to assess brain network reorganization. Furthermore, the integration of AI is analyzed concerning its potential in enhancing diagnostic precision, prognostic models, and individualized treatment strategies. Expert Opinion: The convergence of neuroplasticity research, connectomics, and AI offers promising avenues for advancing personalized neuro-oncology care. Greater understanding of these elements can guide clinicians in developing tailored therapeutic interventions, ultimately improving patient function, prognosis, and quality of life.