Andersson, Jesper L. R., Chloe Hutton, John Ashburner, Robert Turner, and Karl Friston. 2001. ‘Modeling Geometric Deformations in EPI Time Series’. NeuroImage 13(5):903–19. doi: 10.1006/nimg.2001.0746.
Anon. 15AD. ‘Dynamic Magnetic Resonance Imaging of Human Brain Activity during Primary Sensory Stimulation.’ Proceedings of the National Academy of Sciences of the United States of America 89(12).
Anon. n.d.-a. ‘Artifacts in Diffusion MRI’.
Anon. n.d.-b. ‘FIRST - FslWiki’. Retrieved (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIRST).
Anon. n.d.-c. ‘Human Brain Function’. Retrieved (http://www.fil.ion.ucl.ac.uk/spm/doc/books/hbf1/).
Anon. n.d.-d. ‘John Detre’s Slides on ASL fMRI’. Retrieved (https://cfn.upenn.edu/perfusion/index.htm).
Anon. n.d.-e. ‘Questions and Answers in MRI’. Retrieved (http://mri-q.com/index.html).
Ashburner, John. 2007. ‘A Fast Diffeomorphic Image Registration Algorithm’. NeuroImage 38(1):95–113. doi: 10.1016/j.neuroimage.2007.07.007.
Ashburner, John. 2009. ‘Computational Anatomy with the SPM Software’. Magnetic Resonance Imaging 27(8):1163–74. doi: 10.1016/j.mri.2009.01.006.
Ashburner, John, and Karl J. Friston. 2000a. ‘Voxel-Based Morphometry—The Methods’. NeuroImage 11(6):805–21. doi: 10.1006/nimg.2000.0582.
Ashburner, John, and Karl J. Friston. 2000b. ‘Voxel-Based Morphometry—The Methods’. NeuroImage 11(6):805–21. doi: 10.1006/nimg.2000.0582.
Ashburner, John, and Karl J. Friston. 2005. ‘Unified Segmentation’. NeuroImage 26(3):839–51. doi: 10.1016/j.neuroimage.2005.02.018.
Ashburner, John, and Karl J. Friston. 2009. ‘Computing Average Shaped Tissue Probability Templates’. NeuroImage 45(2):333–41. doi: 10.1016/j.neuroimage.2008.12.008.
Ashburner, John, and Stefan Klöppel. 2011. ‘Multivariate Models of Inter-Subject Anatomical Variability’. NeuroImage 56(2):422–39. doi: 10.1016/j.neuroimage.2010.03.059.
Attwell, David, and Costantino Iadecola. 2002. ‘The Neural Basis of Functional Brain Imaging Signals’. Trends in Neurosciences 25(12):621–25. doi: 10.1016/S0166-2236(02)02264-6.
Barnes, J., J. Foster, R. G. Boyes, T. Pepple, E. K. Moore, J. M. Schott, C. Frost, R. I. Scahill, and N. C. Fox. 2008. ‘A Comparison of Methods for the Automated Calculation of Volumes and Atrophy Rates in the Hippocampus’. NeuroImage 40(4):1655–71. doi: 10.1016/j.neuroimage.2008.01.012.
Buxton, Richard B. 2002. Introduction to Functional Magnetic Resonance Imaging: Principles and Techniques. Cambridge: Cambridge University Press.
Buxton, Richard B., Kâmil Uludağ, David J. Dubowitz, and Thomas T. Liu. 2004. ‘Modeling the Hemodynamic Response to Brain Activation’. NeuroImage 23:S220–33. doi: 10.1016/j.neuroimage.2004.07.013.
By:van Buchem, MA (van Buchem, MA); Tofts, PS (Tofts, PS). 2000. ‘Magnetization Transfer Imaging’. NEUROIMAGING CLINICS OF NORTH AMERICA    NEUROIMAGING CLINICS OF NORTH AMERICA 10(4).
Chupin, Marie, A. Romain Mukuna-Bantumbakulu, Dominique Hasboun, Eric Bardinet, Sylvain Baillet, Serge Kinkingnéhun, Louis Lemieux, Bruno Dubois, and Line Garnero. 2007. ‘Anatomically Constrained Region Deformation for the Automated Segmentation of the Hippocampus and the Amygdala: Method and Validation on Controls and Patients with Alzheimer’s Disease’. NeuroImage 34(3):996–1019. doi: 10.1016/j.neuroimage.2006.10.035.
Daunizeau, J., L. Lemieux, A. E. Vaudano, K. J. Friston, and K. E. Stephan. 2013. ‘An Electrophysiological Validation of Stochastic DCM for fMRI’. Frontiers in Computational Neuroscience 6. doi: 10.3389/fncom.2012.00103.
Edelman, Robert R., John R. Hesselink, and Michael B. Zlatkin. 1996. MRI: Clinical Magnetic Resonance Imaging Volume 1. 2nd ed. Philadelphia: Saunders.
Fischl, B., and A. M. Dale. 2000. ‘Measuring the Thickness of the Human Cerebral Cortex from Magnetic Resonance Images’. Proceedings of the National Academy of Sciences 97(20):11050–55. doi: 10.1073/pnas.200033797.
Friston, K. J., L. Harrison, and W. Penny. 2003. ‘Dynamic Causal Modelling’. NeuroImage 19(4):1273–1302. doi: 10.1016/S1053-8119(03)00202-7.
Friston, Karl, and Will Penny. 2011. ‘Post Hoc Bayesian Model Selection’. NeuroImage 56(4):2089–99. doi: 10.1016/j.neuroimage.2011.03.062.
Glover, Gary H., Tie-Qiang Li, and David Ress. 2000. ‘Image-Based Method for Retrospective Correction of Physiological Motion Effects in fMRI: RETROICOR’. Magnetic Resonance in Medicine 44(1):162–67. doi: 10.1002/1522-2594(200007)44:1<162::AID-MRM23>3.0.CO;2-E.
Golay, Xavier PhD*. n.d. ‘Perfusion Imaging Using Arterial Spin Labeling’. Topics in Magnetic Resonance Imaging 15(1):10–27.
Good, Catriona D., Ingrid S. Johnsrude, John Ashburner, Richard N. A. Henson, Karl J. Friston, and Richard S. J. Frackowiak. 2001. ‘A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains’. NeuroImage 14(1):21–36. doi: 10.1006/nimg.2001.0786.
Hobbs, Nicola Z., Amy V. Pedrick, Miranda J. Say, Chris Frost, Rachelle Dar Santos, Allison Coleman, Aaron Sturrock, David Craufurd, Julie C. Stout, Blair R. Leavitt, Josephine Barnes, Sarah J. Tabrizi, and Rachael I. Scahill. 2011. ‘The Structural Involvement of the Cingulate Cortex in Premanifest and Early Huntington’s Disease’. Movement Disorders 26(9):1684–90. doi: 10.1002/mds.23747.
Huettel, Scott A., Allen W. Song, and Gregory McCarthy. 2014. Functional Magnetic Resonance Imaging. Third edition. Sunderland, Massachusetts, U.S.A.: Sinauer Associates, Inc., Publishers.
Jezzard, Peter, and Robert S. Balaban. 1995. ‘Correction for Geometric Distortion in Echo Planar Images from B0 Field Variations’. Magnetic Resonance in Medicine 34(1):65–73. doi: 10.1002/mrm.1910340111.
Jezzard, Peter, Paul M. Matthews, and Stephen M. Smith. 2001. Functional Magnetic Resonance Imaging: An Introduction to Methods. Oxford: Oxford University Press.
Johansen-Berg, Heidi, and Timothy E. J. Behrens, eds. 2014. Diffusion MRI: From Quantitative Measurement to in Vivo Neuroanatomy. Second edition. Amsterdam: Academic Press.
Johnson, Glyn. n.d. ‘Absolute Beginners Guide to Perfusion MRI’.
Jones, Derek K. 2011. Diffusion MRI: Theory, Methods, and Applications. New York: Oxford University Press.
Kahan, Joshua, and Tom Foltynie. 2013. ‘Understanding DCM: Ten Simple Rules for the Clinician’. NeuroImage 83:542–49. doi: 10.1016/j.neuroimage.2013.07.008.
Le Bihan, Denis. 2003. ‘Looking into the Functional Architecture of the Brain with Diffusion MRI’. Nature Reviews Neuroscience 4(6):469–80. doi: 10.1038/nrn1119.
Li, Baojuan, Jean Daunizeau, Klaas E. Stephan, Will Penny, Dewen Hu, and Karl Friston. 2011. ‘Generalised Filtering and Stochastic DCM for fMRI’. NeuroImage 58(2):442–57. doi: 10.1016/j.neuroimage.2011.01.085.
Logothetis, Nikos K. 2008a. ‘What We Can Do and What We Cannot Do with fMRI’. Nature 453(7197):869–78. doi: 10.1038/nature06976.
Logothetis, Nikos K. 2008b. ‘What We Can Do and What We Cannot Do with fMRI’. Nature 453(7197):869–78. doi: 10.1038/nature06976.
Marreiros, A. C., S. J. Kiebel, and K. J. Friston. 2008. ‘Dynamic Causal Modelling for fMRI: A Two-State Model’. NeuroImage 39(1):269–78. doi: 10.1016/j.neuroimage.2007.08.019.
Mechelli, A. 2005. ‘Structural Covariance in the Human Cortex’. Journal of Neuroscience 25(36):8303–10. doi: 10.1523/JNEUROSCI.0357-05.2005.
Mechelli, Andrea, Cathy Price, Karl Friston, and John Ashburner. 2005. ‘Voxel-Based Morphometry of the Human Brain: Methods and Applications’. Current Medical Imaging Reviews 1(2):105–13. doi: 10.2174/1573405054038726.
Norris, David G. 2006. ‘Principles of Magnetic Resonance Assessment of Brain Function’. Journal of Magnetic Resonance Imaging 23(6):794–807. doi: 10.1002/jmri.20587.
Parkes, Laura M., and John A. Detre. 2003. ‘ASL: Blood Perfusion Measurements Using Arterial Spin Labelling’. Pp. 455–73 in Quantitative MRI of the Brain, edited by P. Tofts. Chichester, UK: John Wiley & Sons, Ltd.
Pennec, Xavier, Pascal Cachier, and Nicholas Ayache. 1999. ‘Understanding the "Demon’s Algorithm”: 3D Non-Rigid Registration by Gradient Descent’. Pp. 597–605 in Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. Vol. 1679, edited by C. Taylor and A. Colchester. Berlin, Heidelberg: Springer Berlin Heidelberg.
Razi, Adeel, Joshua Kahan, Geraint Rees, and Karl J. Friston. 2015. ‘Construct Validation of a DCM for Resting State fMRI’. NeuroImage 106:1–14. doi: 10.1016/j.neuroimage.2014.11.027.
Rohlfing, T. 2012. ‘Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable’. IEEE Transactions on Medical Imaging 31(2):153–63. doi: 10.1109/TMI.2011.2163944.
Rosa, M. J., K. Friston, and W. Penny. 2012. ‘Post-Hoc Selection of Dynamic Causal Models’. Journal of Neuroscience Methods 208(1):66–78. doi: 10.1016/j.jneumeth.2012.04.013.
Rueckert, D., L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, and D. J. Hawkes. 1999. ‘Nonrigid Registration Using Free-Form Deformations: Application to Breast MR Images’. IEEE Transactions on Medical Imaging 18(8):712–21. doi: 10.1109/42.796284.
Schmitz, C., and P. R. Hof. 2005. ‘Design-Based Stereology in Neuroscience’. Neuroscience 130(4):813–31. doi: 10.1016/j.neuroscience.2004.08.050.
Stephan, K. E., W. D. Penny, R. J. Moran, H. E. M. den Ouden, J. Daunizeau, and K. J. Friston. 2010. ‘Ten Simple Rules for Dynamic Causal Modeling’. NeuroImage 49(4):3099–3109. doi: 10.1016/j.neuroimage.2009.11.015.
Stephan, Klaas Enno. 2004. ‘On the Role of General System Theory for Functional Neuroimaging’. Journal of Anatomy 205(6):443–70. doi: 10.1111/j.0021-8782.2004.00359.x.
Stephan, Klaas Enno, Lars Kasper, Lee M. Harrison, Jean Daunizeau, Hanneke E. M. den Ouden, Michael Breakspear, and Karl J. Friston. 2008. ‘Nonlinear Dynamic Causal Models for fMRI’. NeuroImage 42(2):649–62. doi: 10.1016/j.neuroimage.2008.04.262.
Studholme, C., D. L. G. Hill, and D. J. Hawkes. 1999. ‘An Overlap Invariant Entropy Measure of 3D Medical Image Alignment’. Pattern Recognition 32(1):71–86. doi: 10.1016/S0031-3203(98)00091-0.
Tofts, Paul and John Wiley & Sons, Ltd. 2003. Quantitative MRI of the Brain: Measuring Changes Caused by Disease. Chichester, West Sussex: Wiley.
Triantafyllou, C., R. D. Hoge, G. Krueger, C. J. Wiggins, A. Potthast, G. C. Wiggins, and L. L. Wald. 2005. ‘Comparison of Physiological Noise at 1.5 T, 3 T and 7 T and Optimization of fMRI Acquisition Parameters’. NeuroImage 26(1):243–50. doi: 10.1016/j.neuroimage.2005.01.007.
Weiskopf, Nikolaus, Chloe Hutton, Oliver Josephs, and Ralf Deichmann. 2006. ‘Optimal EPI Parameters for Reduction of Susceptibility-Induced BOLD Sensitivity Losses: A Whole-Brain Analysis at 3 T and 1.5 T’. NeuroImage 33(2):493–504. doi: 10.1016/j.neuroimage.2006.07.029.
Wiggins, G. C., C. Triantafyllou, A. Potthast, A. Reykowski, M. Nittka, and L. L. Wald. 2006. ‘32-Channel 3 Tesla Receive-Only Phased-Array Head Coil with Soccer-Ball Element Geometry’. Magnetic Resonance in Medicine 56(1):216–23. doi: 10.1002/mrm.20925.
Wright, I. C., P. K. McGuire, J. B. Poline, J. M. Travere, R. M. Murray, C. D. Frith, R. S. J. Frackowiak, and K. J. Friston. 1995. ‘A Voxel-Based Method for the Statistical Analysis of Gray and White Matter Density Applied to Schizophrenia’. NeuroImage 2(4):244–52. doi: 10.1006/nimg.1995.1032.