Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Anomalous Networks: An Application To Brain Diseases
Year:2013
Research Areas
  • Physics chemical and mathematical
Information
Abstract
Mild Cognitive Impairment (MCI) is an intermediate state between healthy aging and dementia consisting in a progressive episodic memory loss. The fact that 10% of elderly MCI patients develop Alzheimer?s each year makes it an interesting candidate to reveal some clues about prodromal Alzheimer. In the current work we introduce a novel methodology in the framework of complex networks theory to built up a new kind of functional networks known as Anomalous (also Parenclitic) Networks.Specifically, we perform a statistical analysis in order to construct networks whose links rely on the differences between a group of healthy individuals and a group of patients suffering from MCI. This way we are able to evaluate how the consistency of MCI patients during a memory test is affected by the disease and what are those cortical regions that suffer the most. The application of this methodology ranges from a diversity of brain diseases to any other systems with two (or more) well defined groups.
International
Si
Congress
European Conference on Complex Systems [http://www.eccs13.eu]
960
Place
Barcelona
Reviewers
Si
ISBN/ISSN
000-00-000-0000-0
Start Date
16/09/2013
End Date
20/09/2013
From page
153
To page
153
ECCS'13 Book of Abstracts [http://www.eccs13.eu/images/site/book_of_abstracts.pdf]
Participants
  • Autor: Johann Heinz Martínez (UPM)
  • Autor: Juan Manuel Pastor Ruiz (UPM)
  • Autor: Massimiliano Zanin Zanin (UPM)
  • Autor: Fernando Maestu Unturbe (UPM)
  • Autor: Ricardo Bajo Breton (UPM)
  • Autor: Javier Martín Buldú (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Grupo de Investigación: Grupo de Bioingeniería y Telemedicina
  • Departamento: Física y Mecánica Fundamentales y Aplicada a la Ingeniería Agroforestal
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