The Application of Novel Technology in Cultural Heritage Graph Theory, Combinatorics and Algorithms The Application of Novel Technology in Cultural Heritage Graph Theory, Combinatorics and Algorithms Weekly CRI Seminar The Application of Novel Technology in Cultural Heritage Graph Theory, Combinatorics and Algorithms

 

Brain Network Disease

Tetsuya Shimokawa 

Abstract

In recent years, the development of high-precision measurement technology for brain research has led to increasing interest in using functional magnetic resonance imaging (fMRI) with high spatial resolution for the diagnosis of mental illnesses.

Schizophrenia is a mental disorder that develops in about 1 of 100 people, and its diagnosis is usually made by a doctor based on a set of symptoms, but an objective method for diagnosis has not yet been established. In the past, fMRI data analysis of brain activity has mainly focused on estimating the areas in the brain mostly involved in memorization. However, recent research has suggested a link between the functional expression and onset of disease on one hand and interactions between multiple brain regions on the other hand.

Network theory is a promising candidate to analyze interactions over the whole brain, as opposed to only parts of the brain. Through the analysis of schizophrenia data, it was found that tightly interconnected parts of a network called "modules" form an effective basis for network theory.

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