On the interpretation of weight vectors of linear models in multivariate neuroimaging
Bernstein Center for Computational Neuroscience Berlin · Technische Universität Berlin · +3 more institutions
Abstract
The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a trend towards more powerful multivariate analysis methods. Often it is desired to interpret the outcome of these methods with respect to the cognitive processes under study. Here we discuss which methods allow for such interpretations, and provide guidelines for choosing an appropriate analysis for a given experimental goal: For a surgeon who needs to decide where to remove brain tissue it is most important to determine the origin of cognitive functions and associated neural processes. In contrast, when communicating with paralyzed or comatose patients via brain-computer interfaces, it is most important to accurately extract…
Citation impact
- FWCI
- 24.44
- Percentile
- 100%
- References
- 76
Authors
7- SHStefan HaufeCorresponding
Bernstein Center for Computational Neuroscience Berlin, Technische Universität Berlin, Focus (Germany)
- FCFrank C. Meinecke
Technische Universität Berlin
- KGKai Görgen
Charité - Universitätsmedizin Berlin, Technische Universität Berlin, Bernstein Center for Computational Neuroscience Berlin
- SDSven Dähne
Technische Universität Berlin
- JHJohn–Dylan Haynes
Bernstein Center for Computational Neuroscience Berlin, Focus (Germany), Charité - Universitätsmedizin Berlin
Topics & keywords
- Multivariate statistics
- Neuroimaging
- Interpretation (philosophy)
- Multivariate analysis
- Computer science
- Artificial intelligence
- Psychology
- Machine learning