June 26th, 2013
•Multivariate techniques including principal component analysis (PCA) have been used to identify signature patterns of regional change in functional brain images. We have developed an algorithm to identify reproducible network biomarkers for the diagnosis of neurodegenerative disorders, assessment of disease progression, and objective evaluation of treatment effects in patient populations.
Related Videos
Identification and Isolation of Slow-Dividing Cells in Human Glioblastoma Using Carboxy Fluorescein Succinimidyl Ester (CFSE)
Identification of Sleeping Beauty Transposon Insertions in Solid Tumors using Linker-mediated PCR
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging
High-Throughput Analysis of Optical Mapping Data Using ElectroMap
Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection
Detection and Removal of Tooth-Colored Composite Resin Using the Fluorescence-Aided Identification Technique
Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI