APA (7th ed.) Citation

Gopinath, K., Krishnamurthy, V., Lacey, S., & Sathian, K. (2018). Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms II: A Method to Obtain First-Level Analysis Residuals with Uniform and Gaussian Spatial Autocorrelation Function and Independent and Identically Distributed Time-Series. Brain connectivity, 8(1), 10-21. https://doi.org/10.1089/brain.2017.0522

Chicago Style (17th ed.) Citation

Gopinath, Kaundinya, Venkatagiri Krishnamurthy, Simon Lacey, and K. Sathian. "Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms II: A Method to Obtain First-Level Analysis Residuals with Uniform and Gaussian Spatial Autocorrelation Function and Independent and Identically Distributed Time-Series." Brain Connectivity 8, no. 1 (2018): 10-21. https://doi.org/10.1089/brain.2017.0522.

MLA (9th ed.) Citation

Gopinath, Kaundinya, et al. "Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms II: A Method to Obtain First-Level Analysis Residuals with Uniform and Gaussian Spatial Autocorrelation Function and Independent and Identically Distributed Time-Series." Brain Connectivity, vol. 8, no. 1, 2018, pp. 10-21, https://doi.org/10.1089/brain.2017.0522.