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The limited efficiency of the current treatment options against the central nervous system (CNS) disorders has created increasing demands towards the development of novel theranostic strategies. The enormous research efforts in nanotechnology have led to the production of highly-advanced nanodevices and biomaterials in a variety of geometries and configurations for targeted delivery of genes, drugs, or growth factors across the blood-brain barrier. Meanwhile, the richness or reliability of data, drug delivery methods, therapeutic effects or potential toxicity of nanoparticles, occurrence of the unexpected phenomena due to the polydisperse or polymorphic nature of nanomaterials, and personalized theranostics have remained as challenging issues. In this respect, computational modelling has emerged as a powerful tool for rational design of nanoparticles with optimized characteristics including the selectivity, improved bioactivity, and reduced toxicity that might lead to the effective delivery of therapeutic agents. High-performance simulation techniques by shedding more light on the dynamical behaviour of neural networks and pathomechanisms of CNS disorders may provide imminent breakthroughs in nanomedicine. In the present review, the importance of integration of nanotechnology-based approaches with computational techniques for targeted delivery of theranostics to the CNS has been highlighted.