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Explore the Early Changes of Parkinsons Disease Through Neuronal Networks

The study team investigated the early pathophysiology developing after induced formation of such PD-related α-synuclein inclusions in a physiologically relevant in vitro setup using engineered human neural networks. The neural network activity using multielectrode arrays (MEAs) was monitored for a period of 3 week following proteinopathy induction.

‘Developing pathology at early onset of neurodegenerative diseases like Parkinson’s disease is not clearly manifest in standard measurements of network function. However, it may be discerned by investigating differences in network criticality states.’


This is to identify associated changes in network function, with a special emphasis on the measure of network criticality. Self-organized criticality represents the critical point between resilience against perturbation and adaptational flexibility, which appears to be a functional trait in self-organizing neural networks, both in vitro and in vivo.

Thus it is seen that although developing pathology at early onset is not clearly manifest in standard measurements of network function, it may be discerned by investigating differences in network criticality states.

Source: Medindia

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