Studies from University of Konstanz Further Understanding of Biomedicine and Biomedical Engineering (Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task)
By a News Reporter-Staff News Editor at Biotech Week -- New research on Biotechnology is the subject of a report. According to news originating from Constance, Germany, by NewsRx correspondents, research stated, "In cognitive neuroscience, extracting characteristic textures and features from functional imaging modalities which could be useful in identifying particular cognitive states across different conditions is still an important field of study. This paper explores the potential of two-dimensional ensemble empirical mode decomposition (2DEEMD) to extract such textures, so-called bidimensional intrinsic mode functions (BIMFs), of functional biomedical images, especially functional magnetic resonance images (fMRI) taken while performing a contour integration task."
Our news journalists obtained a quote from the research from the University of Konstanz, "To identify most informative textures, i.e. BIMFs, a support vector machine (SVM) as well as a random forest (RF) classifier is trained for two different stimulus/response conditions. Classification performance is used to estimate the discriminative power of extracted BIMFs. The latter are then analyzed according to their spatial distribution of brain activations related with contour integration. Results distinctly show the participation of frontal brain areas in contour integration."
According to the news editors, the research concluded: "Employing features generated from textures represented by BIMFs exhibit superior classification performance when compared with a canonical general linear model (GLM) analysis employing statistical parametric mapping (SPM)."
For more information on this research see: Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task. Biomedical Signal Processing and Control, 2014;13():218-236. Biomedical Signal Processing and Control can be contacted at: Elsevier Sci Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, Oxon, England. (Elsevier - www.elsevier.com; Biomedical Signal Processing and Control - www.elsevier.com/wps/product/cws_home/706718)
The news correspondents report that additional information may be obtained from S. Al-Baddai, University of Konstanz, Dept. of Psychol, Cognit & Oscillat Lab, Constance, Germany. Additional authors for this research include K. Al-Subari, A.M. Tome, G. Volberg, S. Hanslmayr, R. Hammwohner and E.W. Lang (see also Biotechnology).
Keywords for this news article include: Constance, Germany, Europe, Biotechnology
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