APA (7th ed.) Citation

Vergara, V. M., Mayer, A. R., Damaraju, E., Kiehl, K. A., & Calhoun, V. (2017). Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy. Journal of neurotrauma, 34(5), 1045-1053. https://doi.org/10.1089/neu.2016.4526

Chicago Style (17th ed.) Citation

Vergara, Victor M., Andrew R. Mayer, Eswar Damaraju, Kent A. Kiehl, and Vince Calhoun. "Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy." Journal of Neurotrauma 34, no. 5 (2017): 1045-1053. https://doi.org/10.1089/neu.2016.4526.

MLA (9th ed.) Citation

Vergara, Victor M., et al. "Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy." Journal of Neurotrauma, vol. 34, no. 5, 2017, pp. 1045-1053, https://doi.org/10.1089/neu.2016.4526.