Machine learning for neuroimaging with scikit-learn
Institut national de recherche en sciences et technologies du numérique · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · +8 more institutions
Abstract
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g., resting state functional MRI) or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps.…
Citation impact
- FWCI
- 22.89
- Percentile
- 100%
- References
- 71
Authors
9- AAAlexandre AbrahamCorresponding
Institut national de recherche en sciences et technologies du numérique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Centre Inria de Saclay, CEA Paris-Saclay
- FPFabian Pedregosa
Institut national de recherche en sciences et technologies du numérique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Centre Inria de Saclay, CEA Paris-Saclay
- MEMichael Eickenberg
Institut national de recherche en sciences et technologies du numérique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Centre Inria de Saclay, CEA Paris-Saclay
- PGPhilippe Gervais
Institut national de recherche en sciences et technologies du numérique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Centre Inria de Saclay, CEA Paris-Saclay
- AMAndreas Mueller
University of Bonn
Topics & keywords
- Neuroimaging
- Computer science
- Artificial intelligence
- Unsupervised learning
- Machine learning
- Python (programming language)
- Functional neuroimaging
- Pattern recognition (psychology)
- Quality Education