An autism spectrum disorder adaptive identification based on the Elimination of brain connections: a proof of long-range underconnectivity

Abstract

Autism spectrum disorder (ASD) is theoretically characterized by alterations in functional connectivity between brain regions. Many works presented approaches to determine informative patterns that help to predict autism from typical development. However, most of the proposed pipelines are not specifically designed for the autism problem, i.e they do not corroborate with autism theories about functional connectivity. In this paper, we propose a framework that takes into account the properties of local connectivity and long range under-connectivity in the autistic brain. The originality of the proposed approach is to adopt elimination as a technique in order to well emerge the autistic brain connectivity alterations, and show how they contribute to differentiate ASD from controls. Experimental results conducted on the large multi-site Autism Brain Imaging Data Exchange (ABIDE) show that our approach provides accurate prediction up to 70% and succeeds to prove the existence of deficits in the long-range connectivity in the ASD subjects brains.

Minimum Intensity Error Intuitionistic Fuzzy Contrast Enhancement Transformation for Magnetic Resonance Images

“…Image processing-based automated software tools have been used extensively for diagnosing diseases like Alzheimer's disease [1], autism spectrum disorder [2], Schizophrenia [3], multiple sclerosis [4], brain tumours [5], from magnetic resonance (MR) images. Low contrast is one of the key issues that adversely affects the performance of software tools used for the automated analysis of MR images [6].…”

An efficient 3D extraction and reconstruction method for myelinated axons of mouse cerebral cortex based on mixed intelligence

“…[3] compared the effects of the presence and absence of long-distance transmission modes on information transmission in whole brain model, and concluded that the presence of long-distance transmission not only improves the brain's sensitivity to information but also reduces the error of information transmission. By analyzing fMRI data, [4] theorized that individual a yan-fang@sjtu.edu.cn b jiejiren@sjtu.edu.cn c zfshao@sjtu.edu.cn d *XL3A@sjtu.edu.cn differences between people may come from long-distance transmission across brain regions; [5] found that people with autism lack long-distance functional connections between brain regions. Modern anatomy has proved that myelinated axons are the material basis for information transmission between brain regions [6].…”