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  • Pham, Tuan DBioinformatics Research Group, School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia (author)

Structural simplexity of the brain

  • Article/chapterEnglish2010

Publisher, publication year, extent ...

  • Elsevier BV,2010
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-127886
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-127886URI
  • https://doi.org/10.1016/j.jneumeth.2010.01.029DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • 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.

Subject headings and genre

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  • Elfiqi, Heba ZBioinformatics Research Group, School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia (author)
  • Knecht, StefanNeurocenter at Schoen Klinik, Hamburg, Germany/ University of Muenster, A. Schweitzer Str. 33, D-48129 Muenster, Germany (author)
  • Wersching, HeikeUniversity of Muenster, A. Schweitzer Str. 33, D-48129 Muenster, Germany / University of Muenster, Domagkstrasse 3, D-48129 Muenster, Germany (author)
  • Baune, Bernhard TDepartment of Psychiatry and Psychiatric Neuroscience, School of Medicine and Dentistry, James Cook University, Townsville, QLD 4811, Australia (author)
  • Berger, KlausInstitute of Epidemiology and Social Medicine, University of Muenster, Domagkstrasse 3, D-48129 Muenster, Germany (author)
  • Bioinformatics Research Group, School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, AustraliaNeurocenter at Schoen Klinik, Hamburg, Germany/ University of Muenster, A. Schweitzer Str. 33, D-48129 Muenster, Germany (creator_code:org_t)

Related titles

  • In:Journal of neuroscience methods: Elsevier BV188:1, s. 113-1260165-0270

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By the author/editor
Pham, Tuan D
Elfiqi, Heba Z
Knecht, Stefan
Wersching, Heike
Baune, Bernhard ...
Berger, Klaus
About the subject
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Basic Medicine
and Neurosciences
Articles in the publication
Journal of neuro ...
By the university
Linköping University

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