Biobibliometrics (UGDH-TP53-BRCA1) Genes Connections in the Possible Relationship Between Breast Cancer and EEG.

In recent years there has been an increasingly amount of data stored in biomedical Databases due to the breakthroughs in biology and bioinformatics, biomedical information is growing exponentially making efficient information retrieval from scientist more and more challenging. New Scientific fields as Bioinformatics seem to be the tool needed to extract scientifically important data based on experimental results and information provided by papers and journals. In this paper we are going to implement a custom made IT system in order to find connections between genes in the breast cancer pathways such the BRCA1 with the electrical energy in the human brain with UGDH gene via the TP53 tumor gene.

Comparison between auto-cross-correlation coefficients and coherence methods applied to the EEG for diagnostic purposes.

Background: Power-spectrum and coherence analysis of the EEG has often been applied in the study of various forms of brain dysfunction. The examination of differences in intra-hemispheric coherence and a novel method based on auto-cross-correlation algorithms between the left and right hemispheres of the same EEG are investigated in this paper.

Material/methods: Both coherence and the proposed method are computed from the same EEG segment across the EEG spectrum (0-64 Hz).