MedicalResearch.com Interview with:
[caption id="attachment_26370" align="alignleft" width="160"]
Dr. Zoltan Toroczkai[/caption]
Zoltan Toroczkai, PhD, Professor of Physics
Concurrent Professor of Computer Science and Engineering
Physics Department
University of Notre Dame, Notre Dame, IN, 46556
MedicalResearch.com: What is the background for this study?
Response: The mammalian brain is arguably the most complex information processing network and with billions of neurons and trillions of connections it presents formidable challenges to deciphering its fundamental mechanisms for information processing. In the brain, information is encoded into the spatio-temporal firing patterns of groups of neurons (population coding), making the connectivity structure of the network crucial for brain function. Damages to this network have been associated with diseases such as Alzheimer’s, autism and schizophrenia, and thus understanding the cortical network would also help better understand certain diseases of the brain.
An experimentally and computationally more feasible approach is to study the anatomical (physical connectivity) network between the functional areas of the cortex, a mosaic of brain patches, each associated with a specific function (e.g., visual, auditory, somatosensory). Based on phylogenic considerations one expects the existence of common fundamental network architectural (and implicitly, processing) principles to be present in all mammalian brains. However, the mammalian brain spans over five orders of variation in size and thus it is not clear at all what are this common architectural features and how would we find them. The challenge here is to compare networks of the same nature (information processing type) but of different orders, with different nodal identities, and of very different spatial embedding (geometrical size) properties.
