Functional Neuroimaging Data Mining

Data mining a functional neuroimaging database for functional segregation in brain regions

We describe a specialized neuroinformatic data mining technique in connection with a meta-analytic functional neuroimaging database: We mine for functional segregation within brain regions by identifying journal articles that report brain activations within the regions and clustering the abstract of the articles using non-negative matrix factorization on the bag-of-words matrix. We divide the b...

Spatiotemporal wavelet resampling for functional neuroimaging data.

The study of dynamic interdependences between brain regions is currently a very active research field. For any connectivity study, it is important to determine whether correlations between two selected brain regions are statistically significant or only chance effects due to non-specific correlations present throughout the data. In this report, we present a wavelet-based non-parametric techniqu...

DRN | Statistical approaches to functional neuroimaging data

of NIH published article. Original source article: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2459257/?report=abstract Statistical approaches to functional neuroimaging data. Bowman FD, Guo Y, Derado G. Department of Biostatistics, Center for Biomedical Imaging Statistics, The Rollins School of Public Health, Emory University, 1518 Clifton Road, N.E., Atlanta, GA 30322

Functional Neuroimaging 1 Fundamentals of Functional Neuroimaging

Functional Neuroimaging 1 Essentials of Functional Neuroimaging

27497 words (text, without references) 32097 total words (with references)