The Role of Complexity Theory in Understanding Brain's Neuron–Glia Interactions

Abstract

Brain information processing complexity is conventionally recognized as derived from neuronal activity, with neurons and their dynamic signalling responsible for the transfer and processing of information. However, the brain also contains other non-neuronal cells, glial cells, which exceed the number of neurons and are involved in the processes related with information coding by neural networks and underlying brain functions. Decisive advances in the characterization of the molecular and physiological properties of glial cells shed light on their active roles in neurotransmission and neuronal physiopathology. This expanded relationship between neurons and glia challenges traditional neurobiology by highlighting their reciprocal influence, where it is difficult to determine whether neuronal or glial processes initiate and drive the interactions. This interplay creates a dilemma, where the causal hierarchy between these two cell types remains unresolved. A philosophical tool, the ‘Theory of Complexity’ of Edgard Morin can help to better explain and study the complexity of neuron–glia interactions. Morin's proposal on complexity is useful to transform brain knowledge, in order to review the brain molecular functions in antireductionist pattern. In this manuscript, we will discuss how to use the ‘retroactive loop’ principle from Morin's ‘Theory of Complexity’ at the brain molecular level, proposing a new philosophical-experimental grid that can help neuroscientists for a better understanding of the glia–neuron interactions in the brain.