Large-scale automated synthesis of human functional neuroimaging data (original) (raw)
References
Derrfuss, J. & Mar, R.A. Lost in localization: the need for a universal coordinate database. Neuroimage48, 1–7 (2009). Article Google Scholar
Yarkoni, T. Big correlations in little studies: inflated fMRI correlations reflect low statistical power—commentary on Vul et al. (2009). Perspect. Psychol. Sci.4, 294–298 (2009). Article Google Scholar
Wager, T.D., Lindquist, M. & Kaplan, L. Meta-analysis of functional neuroimaging data: current and future directions. Soc. Cogn. Affect. Neurosci.2, 150–158 (2007). Article Google Scholar
Yarkoni, T., Poldrack, R.A., Van Essen, D.C. & Wager, T.D. Cognitive neuroscience 2.0: building a cumulative science of human brain function. Trends Cogn. Sci.14, 489–496 (2010). Article Google Scholar
Van Horn, J.D., Grafton, S.T., Rockmore, D. & Gazzaniga, M.S. Sharing neuroimaging studies of human cognition. Nat. Neurosci.7, 473–481 (2004). ArticleCAS Google Scholar
Fox, P.T., Parsons, L.M. & Lancaster, J.L. Beyond the single study: function/location metanalysis in cognitive neuroimaging. Curr. Opin. Neurobiol.8, 178–187 (1998). ArticleCAS Google Scholar
Van Essen, D.C. Lost in localization—but found with foci?! Neuroimage48, 14–17 (2009). Article Google Scholar
Laird, A.R. et al. ALE meta-analysis workflows via the BrainMap database: progress towards a probabilistic functional brain atlas. Front Neuroinformatics3, 23 (2009). Article Google Scholar
Dickson, J., Drury, H.A. & Van Essen, D.C. “The surface management system” (SuMS) database: a surface-based database to aid cortical surface reconstruction, visualization and analysis. Phil. Trans. R. Soc. Lond. B356, 1277–1292 (2001). ArticleCAS Google Scholar
Lancaster, J.L. et al. Bias between MNI and Talairach coordinates analyzed using the ICBM-152 brain template. Hum. Brain Mapp.28, 1194–1205 (2007). Article Google Scholar
Nielsen, F.A., Hansen, L.K. & Balslev, D. Mining for associations between text and brain activation in a functional neuroimaging database. Neuroinformatics2, 369–380 (2004). Article Google Scholar
Kanwisher, N., McDermott, J. & Chun, M.M. The fusiform face area: a module in human extrastriate cortex specialized for face perception. J. Neurosci.17, 4302–4311 (1997). ArticleCAS Google Scholar
McCandliss, B.D., Cohen, L. & Dehaene, S. The visual word form area: expertise for reading in the fusiform gyrus. Trends Cogn. Sci.7, 293–299 (2003). Article Google Scholar
Atlas, L.Y., Bolger, N., Lindquist, M.A. & Wager, T.D. Brain mediators of predictive cue effects on perceived pain. J. Neurosci.30, 12964–12977 (2010). ArticleCAS Google Scholar
Wager, T.D., Lindquist, M.A., Nichols, T.E., Kober, H. & Van Snellenberg, J.X. Evaluating the consistency and specificity of neuroimaging data using meta-analysis. Neuroimage45, 210–221 (2009). Article Google Scholar
Kober, H. et al. Functional grouping and cortical-subcortical interactions in emotion: a meta-analysis of neuroimaging studies. Neuroimage42, 998–1031 (2008). Article Google Scholar
Poldrack, R.A. Can cognitive processes be inferred from neuroimaging data? Trends Cogn. Sci.10, 59–63 (2006). Article Google Scholar
Zald, D.H. The human amygdala and the emotional evaluation of sensory stimuli. Brain Res. Brain Res. Rev.41, 88–123 (2003). Article Google Scholar
Shackman, A.J. et al. The integration of negative affect, pain and cognitive control in the cingulate cortex. Nat. Rev. Neurosci.12, 154–167 (2011). ArticleCAS Google Scholar
Owen, A.M., McMillan, K.M., Laird, A.R. & Bullmore, E. N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies. Hum. Brain Mapp.25, 46–59 (2005). Article Google Scholar
Dosenbach, N.U. et al. A core system for the implementation of task sets. Neuron50, 799–812 (2006). ArticleCAS Google Scholar
Duncan, J. The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour. Trends Cogn. Sci.14, 172–179 (2010). Article Google Scholar
Yarkoni, T., Barch, D.M., Gray, J.R., Conturo, T.E. & Braver, T.S. BOLD correlates of trial-by-trial reaction time variability in gray and white matter: a multi-study fMRI analysis. PLoS ONE4, e4257 (2009). Article Google Scholar
Craig, A.D. How do you feel? Interoception: the sense of the physiological condition of the body. Nat. Rev. Neurosci.3, 655–666 (2002). ArticleCAS Google Scholar
Legrain, V., Iannetti, G.D., Plaghki, L. & Mouraux, A. The pain matrix reloaded: a salience detection system for the body. Prog. Neurobiol.93, 111–124 (2011). Article Google Scholar
Mitchell, T.M. et al. Predicting human brain activity associated with the meanings of nouns. Science320, 1191–1195 (2008). ArticleCAS Google Scholar
Poldrack, R.A., Halchenko, Y.O. & Hanson, S.J. Decoding the large-scale structure of brain function by classifying mental states across individuals. Psychol. Sci.20, 1364–1372 (2009). Article Google Scholar
Lewis, D. Naive (Bayes) at forty: The independence assumption in information retrieval. Mach. Learn.ECML-98, 4–15 (1998). Google Scholar
Lang, P.J., Bradley, M.M. & Cuthbert, B.N. International Affective Picture System (IAPS): Instruction Manual and Affective Ratings (Center for Research in Psychophysiology, University of Florida, Gainesville, Florida, USA, 1999).
Van Essen, D.C. & Dierker, D.L. Surface-based and probabilistic atlases of primate cerebral cortex. Neuron56, 209–225 (2007). ArticleCAS Google Scholar
Laird, A.R. et al. Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: validation of the Lancaster transform. Neuroimage51, 677–683 (2010). Article Google Scholar
Nigam, K., McCallum, A.K., Thrun, S. & Mitchell, T. Text classification from labeled and unlabeled documents using EM. Mach. Learn.39, 103–134 (2000). Article Google Scholar
Van Essen, D.C.A. Population-average, landmark- and surface-based (PALS) atlas of human cerebral cortex. Neuroimage28, 635–662 (2005). Article Google Scholar
Langley, P., Iba, W. & Thompson, K. An analysis of Bayesian classifiers. Proceedings of the Tenth National Conference on Artificial Intelligence 223–228 (AAAI Press, Menlo Park, California, USA, 1992).
Mitchell, T.M. et al. Learning to decode cognitive states from brain images. Mach. Learn.57, 145–175 (2004). Article Google Scholar
Cox, D.D. & Savoy, R.L. Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex. Neuroimage19, 261–270 (2003). Article Google Scholar
DeYoung, C.G., Shamosh, N.A., Green, A.E., Braver, T.S. & Gray, J.R. Intellect as distinct from openness: differences revealed by fMRI of working memory. J. Pers. Soc. Psychol.97, 883–892 (2009). Article Google Scholar
Shamosh, N.A. et al. Individual differences in delay discounting. Psychol. Sci.19, 904–911 (2008). Article Google Scholar
McRae, K. et al. The neural bases of distraction and reappraisal. J. Cogn. Neurosci.22, 248–262 (2010). Article Google Scholar
Ochsner, K.N. et al. For better or for worse: neural systems supporting the cognitive down- and up-regulation of negative emotion. Neuroimage23, 483–499 (2004). Article Google Scholar
Ochsner, K.N., Bunge, S.A., Gross, J.J. & Gabrieli, J.D. Rethinking feelings: an FMRI study of the cognitive regulation of emotion. J. Cogn. Neurosci.14, 1215–1229 (2002). Article Google Scholar
McRae, K., Ochsner, K.N., Mauss, I.B., Gabrieli, J.J.D. & Gross, J.J. Gender differences in emotion regulation: an fMRI study of cognitive reappraisal. Group Process. Intergroup Relat.11, 143–162 (2008). Article Google Scholar
Kross, E., Berman, M.G., Mischel, W., Smith, E.E. & Wager, T.D. Social rejection shares somatosensory representations with physical pain. Proc. Natl. Acad. Sci. USA108, 6270–6275 (2011). ArticleCAS Google Scholar