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Abstract
Mental processing is the product of the huge number of synaptic interactions that occur in the brain. It is easier to understand how brain functions deteriorate than how they might be boosted. Lying at the border between the humanities, cognitive science and neurophysiology, some mental diseases offer new angles on this problematic issue.In this article we try to understand and quantify brain behaviour using fuzzy graphs. We illustrate a new technique for early detection of Autism in individuals using fuzzy graphs .
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References
Andrei Irimia, M. C., Circular representation of human cortical networks for subject and populationlevel
connectomic visualization, NeuroImage 60 (2012), pp. 1340–1351.
Andrew Zalesky, L. C., Connectivity differences in brain networks, NeuroIm- age 60 (2012), pp.
–1062.
Choe, A., Neural network abnormalities in autism using adjacency matrices.
Dae Jin Kim, A. R. B., Disturbed resting state eeg synchronization in bipolar disorder: A graphtheoretic
analysis, NeuroImage: Clinical 2 (2013), pp. 414– 423.
Ed Bullmore, O. S., Comlex brain networks: graph theoretical analysis of structural and functional
systems, Neuroscience 10 (2009), pp. 186–198.
Emily L Dennis, N. J., Altered structural brain connectivity in healthy carriers of the autism risk
gene, cntnap2, Barin Connectivity 1 (2011), pp. 447–459.
J.N.Mordeson and P.S.Nair, “Fuzzy Graphs and Fuzzy Hypergraphs,” PhysicaVerlag, 2000.
Marianna Boso, E. E., Autism and genius: is there a link? the involvement of central brain loops and
hypotheses for functional testing, Functional Neurology 1 (2010), pp. 15–20.