Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization

Sidong Liu*, Weidong Cai, Lingfeng Wen, David Dagan Feng, Sonia Pujol, Ron Kikinis, Michael J. Fulham, Stefan Eberl, ADNI

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


Neuroimaging has played an important role in non-invasive diagnosis and differentiation of neurodegenerative disorders, such as Alzheimer's disease and Mild Cognitive Impairment. Various features have been extracted from the neuroimaging data to characterize the disorders, and these features can be roughly divided into global and local features. Recent studies show a tendency of using local features in disease characterization, since they are capable of identifying the subtle disease-specific patterns associated with the effects of the disease on human brain. However, problems arise if the neuroimaging database involved multiple disorders or progressive disorders, as disorders of different types or at different progressive stages might exhibit different degenerative patterns. It is difficult for the researchers to reach consensus on what brain regions could effectively distinguish multiple disorders or multiple progression stages. In this study we proposed a Multi-Channel pattern analysis approach to identify the most discriminative local brain metabolism features for neurodegenerative disorder characterization. We compared our method to global methods and other pattern analysis methods based on clinical expertise or statistics tests. The preliminary results suggested that the proposed Multi-Channel pattern analysis method outperformed other approaches in Alzheimer's disease characterization, and meanwhile provided important insights into the underlying pathology of Alzheimer's disease and Mild Cognitive Impairment.

Original languageEnglish
Pages (from-to)436-444
Number of pages9
JournalComputerized Medical Imaging and Graphics
Issue number6
Publication statusPublished - Sep 2014
Externally publishedYes


  • Alzheimer's disease
  • Mild cognitive impairment
  • Pattern analysis


Dive into the research topics of 'Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization'. Together they form a unique fingerprint.

Cite this