Bibliography for PSYC0064: Methods in cognitive neuroscience II: neuroimaging: Dr Leun J. Otten BETA

1.

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2.

Landmarks in human functional brain imaging, https://wellcome.ac.uk/sites/default/files/wtvm052606.pdf.

3.

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4.

Neuroimaging: Separating the Promise from the Pipe Dreams - Dana Foundation, https://www.dana.org/article/neuroimaging-separating-the-promise-from-the-pipe-dreams/.

5.

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6.

Klein, C.: Philosophical Issues in Neuroimaging. Philosophy Compass. 5, 186–198 (2010). https://doi.org/10.1111/j.1747-9991.2009.00275.x.

7.

Braisby, N.: Cognitive psychology: a methods companion. Oxford University Press in association with the Open University, Oxford (2005).

8.

Ward, J.: The Student’s Guide to Cognitive Neuroscience. Taylor and Francis, Hoboken (2015).

9.

Bandettini, P.A.: What’s New in Neuroimaging Methods? Annals of the New York Academy of Sciences. 1156, 260–293 (2009). https://doi.org/10.1111/j.1749-6632.2009.04420.x.

10.

Logothetis, N.K.: What we can do and what we cannot do with fMRI. Nature. 453, 869–878 (2008). https://doi.org/10.1038/nature06976.

11.

Berman, M.G.: Studying mind and brain with fMRI. Social Cognitive and Affective Neuroscience. 1, 158–161 (2006). https://doi.org/10.1093/scan/nsl019.

12.

Strait, M., Scheutz, M.: What we can and cannot (yet) do with functional near infrared spectroscopy. Frontiers in Neuroscience. 8, (2014). https://doi.org/10.3389/fnins.2014.00117.

13.

Glover, G.H.: Overview of Functional Magnetic Resonance Imaging. Neurosurgery Clinics of North America. 22, 133–139 (2011). https://doi.org/10.1016/j.nec.2010.11.001.

14.

Huettel, S.A., Song, A.W., McCarthy, G.: Functional magnetic resonance imaging. Sinauer Associates, Inc., Publishers, Sunderland, Massachusetts, U.S.A. (2014).

15.

An Image-based Approach to Understanding the Physics of MR Artifacts.

16.

Friston (2003) - introduction and overview of fMRI analysis, http://www.fil.ion.ucl.ac.uk/spm/doc/intro/intro.pdf.

17.

Poldrack, R.A., Mumford, J.A., Nichols, T.E.: Handbook of functional MRI data analysis. Cambridge University Press, Cambridge (2011).

18.

Smith, S.M.: Overview of fMRI analysis. In: Jezzard, P., Matthews, P.M., and Smith, S.M. (eds.) Functional Magnetic Resonance Imaging. pp. 216–230. Oxford University Press (2001). https://doi.org/10.1093/acprof:oso/9780192630711.003.0011.

19.

Poldrack, R.A., Fletcher, P.C., Henson, R.N., Worsley, K.J., Brett, M., Nichols, T.E.: Guidelines for reporting an fMRI study. NeuroImage. 40, 409–414 (2008). https://doi.org/10.1016/j.neuroimage.2007.11.048.

20.

Amaro, E., Barker, G.J.: Study design in fMRI: Basic principles. Brain and Cognition. 60, 220–232 (2006). https://doi.org/10.1016/j.bandc.2005.11.009.

21.

Savoy, R.L.: Experimental design in brain activation MRI: Cautionary tales. Brain Research Bulletin. 67, 361–367 (2005). https://doi.org/10.1016/j.brainresbull.2005.06.008.

22.

HENSON, R.: Forward inference using functional neuroimaging: dissociations versus associations. Trends in Cognitive Sciences. 10, 64–69 (2006). https://doi.org/10.1016/j.tics.2005.12.005.

23.

Nieuwenhuis, S., Forstmann, B.U., Wagenmakers, E.-J.: Erroneous analyses of interactions in neuroscience: a problem of significance. Nature Neuroscience. 14, 1105–1107 (2011). https://doi.org/10.1038/nn.2886.

24.

Church, J.A., Petersen, S.E., Schlaggar, B.L.: The "Task B problem” and other considerations in developmental functional neuroimaging. Human Brain Mapping. 31, 852–862 (2010). https://doi.org/10.1002/hbm.21036.

25.

Mumford, J.A.: A power calculation guide for fMRI studies. Social Cognitive and Affective Neuroscience. 7, 738–742 (2012). https://doi.org/10.1093/scan/nss059.

26.

Cohen, M.X.: Where Does EEG Come From and What Does It Mean? Trends in Neurosciences. 40, 208–218 (2017). https://doi.org/10.1016/j.tins.2017.02.004.

27.

Banaschewski, T., Brandeis, D.: Annotation: What electrical brain activity tells us about brain function that other techniques cannot tell us ? a child psychiatric perspective. Journal of Child Psychology and Psychiatry. 48, 415–435 (2007). https://doi.org/10.1111/j.1469-7610.2006.01681.x.

28.

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29.

Teplan, M.: Fundamentals of EEG measurement, http://www.measurement.sk/2002/S2/Teplan.pdf.

30.

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31.

Michel, C.M., Murray, M.M., Lantz, G., Gonzalez, S., Spinelli, L., Grave de Peralta, R.: EEG source imaging. Clinical Neurophysiology. 115, 2195–2222 (2004). https://doi.org/10.1016/j.clinph.2004.06.001.

32.

Roach, B.J., Mathalon, D.H.: Event-Related EEG Time-Frequency Analysis: An Overview of Measures and An Analysis of Early Gamma Band Phase Locking in Schizophrenia. Schizophrenia Bulletin. 34, 907–926 (2008). https://doi.org/10.1093/schbul/sbn093.

33.

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34.

Gross, J., Baillet, S., Barnes, G.R., Henson, R.N., Hillebrand, A., Jensen, O., Jerbi, K., Litvak, V., Maess, B., Oostenveld, R., Parkkonen, L., Taylor, J.R., van Wassenhove, V., Wibral, M., Schoffelen, J.-M.: Good practice for conducting and reporting MEG research. NeuroImage. 65, 349–363 (2013). https://doi.org/10.1016/j.neuroimage.2012.10.001.

35.

Litvak, V., Mattout, J., Kiebel, S., Phillips, C., Henson, R., Kilner, J., Barnes, G., Oostenveld, R., Daunizeau, J., Flandin, G., Penny, W., Friston, K.: EEG and MEG Data Analysis in SPM8. Computational Intelligence and Neuroscience. 2011, 1–32 (2011). https://doi.org/10.1155/2011/852961.

36.

Friston, K.J.: Modalities, Modes, and Models in Functional Neuroimaging. Science. 326, 399–403 (2009). https://doi.org/10.1126/science.1174521.

37.

Thut, G., Miniussi, C.: New insights into rhythmic brain activity from TMS–EEG studies. Trends in Cognitive Sciences. 13, 182–189 (2009). https://doi.org/10.1016/j.tics.2009.01.004.

38.

Driver, J., Blankenburg, F., Bestmann, S., Vanduffel, W., Ruff, C.C.: Concurrent brain-stimulation and neuroimaging for studies of cognition. Trends in Cognitive Sciences. 13, 319–327 (2009). https://doi.org/10.1016/j.tics.2009.04.007.