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Original Article
Modeling of activation data in the BrainMap™ database: Detection of outliers
Article first published online: 4 JAN 2002
DOI: 10.1002/hbm.10012
Copyright © 2002 Wiley-Liss, Inc.
1097-0193/asset/cover.gif?v=1&s=0cf4fa55da70dd12083759168d6ce997f3ca20ae "Human Brain Mapping")
Additional Information
How to Cite
Nielsen, F. Å. and Hansen, L. K. (2002), Modeling of activation data in the BrainMap™ database: Detection of outliers. Human Brain Mapping, 15: 146–156. doi: 10.1002/hbm.10012
Publication History
- Issue published online: 4 JAN 2002
- Article first published online: 4 JAN 2002
- Manuscript Accepted: 27 SEP 2001
- Manuscript Received: 9 APR 2001
Funded by
- Danish Research Council
- NIH. Grant Numbers: ROI DA09246, P20 MH57180
- EU Commission
- Abstract
- Article
- References
- Cited By
Keywords:
- meta-analysis;
- data analysis;
- estimation techniques;
- probabilistic models;
- neuroanatomy;
- databases;
- neural networks (computer)
Abstract
We describe a system for meta-analytical modeling of activation foci from functional neuroimaging studies. Our main vehicle is a set of density models in Talairach space capturing the distribution of activation foci in sets of experiments labeled by lobar anatomy. One important use of such density models is identification of novelty, i.e., low probability database events. We rank the novelty of the outliers and investigate the cause for 21 of the most novel, finding several outliers that are entry and transcription errors or infrequent or non-conforming terminology. We briefly discuss the use of atlases for outlier detection. Hum. Brain Mapping 15:146–156, 2002. © 2002 Wiley-Liss, Inc.