References¶
1D SPM literature¶
Pataky TC, Vanrenterghem J, Robinson MA (2016). Region-of-interest analyses of one-dimensional biomechanical trajectories: bridging 0D and 1D methods, augmenting statistical power. PeerJ 4: e2652, doi.org/10.7717/peerj.2652.
Pataky TC, Vanrenterghem J, Robinson MA (2016). The probability of false positives in zero-dimensional analyses of one-dimensional kinematic, force and EMG trajectories. Journal of Biomechanics 49(9): 1468-1476.
Pataky TC (2016). rft1d: Smooth one-dimensional random field upcrossing probabilities in Python, Journal of Statistical Software, 71(7): i07.
Pataky TC, Vanrenterghem J, Robinson MA (2015). Zero- vs. one-dimensional, parametric vs. non-parametric, and confidence interval vs. hypothesis testing procedures in one-dimensional biomechanical trajectory analysis. Journal of Biomechanics 48 (7): 1277–1285.
Pataky TC, Robinson MA, Vanrenterghem J (2013). Vector field statistical analysis of kinematic and force trajectories. Journal of Biomechanics 46 (14): 2394-2401.
Pataky TC (2012) One-dimensional statistical parametric mapping in Python. Computer Methods in Biomechanics and Biomedical Engineering. 15, 295-301.
Pataky TC (2010). Generalized n-dimensional biomechanical field analysis using statistical parametric mapping. Journal of Biomechanics 43, 1976-1982.
3D SPM literature¶
Friston KJ, Ashburner JT, Kiebel SJ, Nichols TE, Penny WD (Eds.) (2007) Statistical Parametric Mapping: The Analysis of Functional Brain Images. Elsevier, London.
Friston KJ, Holmes AP, Worsley KJ, Poline JB, Frith CD, Frackowiak RSJ (1995). Statistical parametric maps in functional imaging: a general linear approach. Human Brain Mapping 2, 189–210.
Nichols TE, Holmes AP (2002). Nonparametric permutation tests for functional neuroimaging: a primer with examples. Human Brain Mapping 15(1), 1–25.
The SPM documentation repository Wellcome Trust Centre for Neuroimaging.