Structural simplexity of the brain
Pham, Tuan D., Elfiqi, Heba Z., Knecht, Stefan, Wersching, Heike, Baune, Bernhard T., and Berger, Klaus (2010) Structural simplexity of the brain. Journal of Neuroscience Methods, 188 (1). pp. 113-126.
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Simplexity is an emerging concept that expresses a possible complementary relationship between complexity and simplicity. The brain has been known as the most complex structure, and tremendous effort has been spent to study how it works. By understanding complex function of the brain, one can hope to unravel the mystery of its diseases and its biological systems. We propose herein an entropy-based framework for analysis of complexity with a particular application to the study of white matter changes of the human brain. In this analysis, the proposed approach takes into account both morphological structure and image intensity values of MRI scans to construct the complexity profiles of the brain. It has been realized that the quantity and spatial distribution of white matter changes play an important role in cognitive decline (i.e. dementia) and other neuropsychiatric disorders (i.e. multiple sclerosis, depression) as well as in other dementia disorders such as Alzheimers disease. Thus, the results can be utilized as a tool for automated quantification and comparison of various spatial distributions and orientations of age-related white matter changes where manual analysis is difficult and leads to different sensitivities for the respective MRI-based information of the brain.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||white matter changes; MRI; entropy; geostatistics; structural complexity; simple interpretation|
|FoR Codes:||11 MEDICAL AND HEALTH SCIENCES > 1109 Neurosciences > 110999 Neurosciences not elsewhere classified @ 100%|
|SEO Codes:||92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920410 Mental Health @ 100%|
|Deposited On:||16 Aug 2010 11:35|
|Last Modified:||09 May 2013 01:11|
Last 12 Months: 0
|Citation Counts with External Providers:||Web of Science: 2|
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