Welcome to the InfoSci Platform
Reference Hub2
Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer’s Disease via Subgraph Mining

Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer’s Disease via Subgraph Mining

Junming Shao, Qinli Yang, Afra Wohlschläger, Christian Sorg
Copyright: © 2012 |Volume: 3 |Issue: 1 |Pages: 16
ISSN: 1947-9115|EISSN: 1947-9123|EISBN13: 9781466613218|DOI: 10.4018/jkdb.2012010102
Cite Article Cite Article

MLA

Shao, Junming, et al. "Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer’s Disease via Subgraph Mining." IJKDB vol.3, no.1 2012: pp.23-38. http://doi.org/10.4018/jkdb.2012010102

APA

Shao, J., Yang, Q., Wohlschläger, A., & Sorg, C. (2012). Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer’s Disease via Subgraph Mining. International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 3(1), 23-38. http://doi.org/10.4018/jkdb.2012010102

Chicago

Shao, Junming, et al. "Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer’s Disease via Subgraph Mining," International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 3, no.1: 23-38. http://doi.org/10.4018/jkdb.2012010102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Alzheimer’s disease (AD) is the most common cause of age-related dementia, which prominently affects the human connectome. In this paper, the authors focus on the question how they can identify disrupted spatial patterns of the human connectome in AD based on a data mining framework. Using diffusion tractography, the human connectomes for each individual subject were constructed based on two diffusion derived attributes: fiber density and fractional anisotropy, to represent the structural brain connectivity patterns. After frequent subgraph mining, the abnormal score was finally defined to identify disrupted subgraph patterns in patients. Experiments demonstrated that our data-driven approach, for the first time, allows identifying selective spatial pattern changes of the human connectome in AD that perfectly matched grey matter changes of the disease. Their findings also bring new insights into how AD propagates and disrupts the regional integrity of large-scale structural brain networks in a fiber connectivity-based way.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.