Traditional treatments for central nervous system disorders have shown limits and challenges. [1-3] Alternative ways to outperform current state-of-the-art technologies are required in neuroscience, especially for neuronal regeneration [4,5] and electrical sensing/recording. [6] Despite a lot of efforts have been made to develop implantable neuronal devices (e.g., electrodes for deep brain stimulation, [7] retinal implants, [8,9] peripheral nerve stimulators, [10] and intracranial electrodes for diagnostic purposes [11]), further research is needed to design an ideal neuronal interface embracing a combination of electrical conductivity and flexibility/lightness, together with high biocompatibility. Graphene has attracted considerable attention due to its outstanding properties, [12-17] such as high electrical and thermal conductivity, mechanical strength, ultra-thinness, and biocompatibility, opening new Graphene is regarded as a viable bio-interface for neuroscience due to its biocompatibility and electrical conductivity, which would contribute to efficient neuronal network signaling. Here, monolayer graphene grown via chemical vapor deposition is treated with remote hydrogen plasma to demonstrate that hydrogenated graphene (HGr) fosters improved cell-to-cell communication with respect to pristine graphene in primary cortical neurons. When transferred to polyethylene terephthalate, HGr exhibits higher wettability than graphene (water contact angle of 83.7° vs 40.7°), while preserving electrical conductivity (≈3 kΩ □-1). A rich and mature network is observed to develop onto HGr. The intrinsic excitability and firing properties of neurons plated onto HGr appears unaltered, while the basic passive and active membrane properties are fully preserved. The formation of excitatory synaptic connections increases in HGr with respect to pristine graphene, leading to a doubled miniature excitatory postsynaptic current frequency. This study supports the use of hydrogenation for tailoring graphene into an improved neuronal interface, indicating that wettability, more than electrical conductivity, is the key parameter to be controlled. The use of HGr can bring about a deeper understanding of neuronal behavior on artificial bio-interfaces and provide new insight for graphene-based biomedical applications.