This research topic aims to explore the intricate and multifaceted nature of the central nervous system (CNS) through the lens of systems biology. Traditional approaches that focused merely on neuron-centered models or mechanistic assumptions derived from naturally occurring lesions have become insufficient to fully capture the complexities of the CNS. As such, this topic delves into the interconnected cellular and extracellular components that contribute to the emergent properties of the CNS, including consciousness and intelligence, as well as the non-cell autonomous characteristics of various pathologies.

Recent advancements in single-cell analysis, coupled with time-gated and space-resolved 'omics, provide unprecedented insights into the CNS's biological complexity. However, the challenge remains in managing the vast datasets and drawing coherent inferences that account for the system's dynamic nature. Systems biology, integrated with advanced prediction algorithms and data analysis tools, offers promising avenues to unravel these complexities and redefine our understanding of CNS functional states, pathophysiology, and emergent phenomena.

This topic invites contributions from all areas of neuroscience, particularly those employing holistic, system-focused methodologies rather than isolated element-based studies. We are particularly interested in manuscripts that align with translational research objectives, bridging the gap between basic science and clinical applications.

We welcome submissions in the form of original research, methodological advancements, reviews, and opinion pieces. Areas of interest include, but are not limited to:
• Innovative methods for CNS modeling that encompass both neural and non-neural components
• Advanced 'omic techniques applied to CNS research
• Comprehensive models of neurological conditions, including neurodegenerative diseases, inflammatory states, epilepsy, and genetic disorders
• Cutting-edge approaches in modeling CNS-related pathologies such as in neuro-oncology

Through these explorations, we aim to foster a deeper understanding of the CNS's systemic nature and facilitate the development of novel therapeutic strategies.

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Systems Modelling of the Central Nervous System; understanding the building blocks of complex systems