APA   Click to copy
de Wit, S., Ziermans, T. B., Nieuwenhuis, M., Schothorst, P. F., van Engeland, H., Kahn, R. S., … Schnack, H. G. (2017). Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data. Human Brain Mapping, 38, 704–714. https://doi.org/10.1002/hbm.23410

Chicago/Turabian   Click to copy
Wit, S. de, T. B. Ziermans, M. Nieuwenhuis, P. F. Schothorst, H. van Engeland, R. S. Kahn, S. Durston, and H. G. Schnack. “Individual Prediction of Long-Term Outcome in Adolescents at Ultra-High Risk for Psychosis: Applying Machine Learning Techniques to Brain Imaging Data.” Human Brain Mapping 38 (February 2017): 704–714.

MLA   Click to copy
de Wit, S., et al. “Individual Prediction of Long-Term Outcome in Adolescents at Ultra-High Risk for Psychosis: Applying Machine Learning Techniques to Brain Imaging Data.” Human Brain Mapping, vol. 38, Feb. 2017, pp. 704–14, doi:10.1002/hbm.23410.

@article{de2017a,
  title = {Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data},
  year = {2017},
  month = feb,
  journal = {Human Brain Mapping},
  pages = {704-714},
  volume = {38},
  doi = {10.1002/hbm.23410},
  author = {de Wit, S. and Ziermans, T. B. and Nieuwenhuis, M. and Schothorst, P. F. and van Engeland, H. and Kahn, R. S. and Durston, S. and Schnack, H. G.},
  month_numeric = {2}
}