Brain Imaging in Communication Research: A Practical Guide to Understanding and Evaluating fMRI Studies

Core communication research questions are increasingly being investigated using brain imaging techniques. A majority of these studies apply a functional magnetic resonance imaging (fMRI) approach. This trend raises two important questions that we address in this article. First, under what conditions can fMRI methodology increase knowledge and refine communication theory? Second, how can editors, reviewers, and readers of communication journals discriminate sound and relevant fMRI research from unsound or irrelevant fMRI research? To address these questions, we first discuss what can and cannot be accomplished with fMRI. Subsequently, we provide a pragmatic introduction to fMRI data collection and analysis for social-science-oriented communication scholars. We include practical guidelines and a checklist for reporting and evaluating fMRI studies.

[1]  John T Cacioppo,et al.  Great expectations: what can fMRI research tell us about psychological phenomena? , 2009, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[2]  M. Brass,et al.  Unconscious determinants of free decisions in the human brain , 2008, Nature Neuroscience.

[3]  K. Mathiak,et al.  Toward brain correlates of natural behavior: fMRI during violent video games , 2006, Human brain mapping.

[4]  D. Ariely,et al.  Neuromarketing: the hope and hype of neuroimaging in business , 2010, Nature Reviews Neuroscience.

[5]  Ryan J. Prenger,et al.  Bayesian Reconstruction of Natural Images from Human Brain Activity , 2009, Neuron.

[6]  A. Dale,et al.  Late Onset of Anterior Prefrontal Activity during True and False Recognition: An Event-Related fMRI Study , 1997, NeuroImage.

[7]  P. Ludlow,et al.  The Philosophy of Mind: Classical Problems/Contemporary Issues , 2006 .

[8]  A M Dale,et al.  Optimal experimental design for event‐related fMRI , 1999, Human brain mapping.

[9]  S.C. Strother,et al.  Evaluating fMRI preprocessing pipelines , 2006, IEEE Engineering in Medicine and Biology Magazine.

[10]  K. Mathiak,et al.  Does Playing Violent Video Games Induce Aggression? Empirical Evidence of a Functional Magnetic Resonance Imaging Study , 2006 .

[11]  J. Haynes,et al.  Decoding Successive Computational Stages of Saliency Processing , 2011, Current Biology.

[12]  Elliot T. Berkman,et al.  Beyond Brain Mapping , 2013, Current directions in psychological science.

[13]  E. DeYoe,et al.  Functional magnetic resonance imaging (FMRI) of the human brain , 1994, Journal of Neuroscience Methods.

[14]  S. Schneider,et al.  The Blackwell Companion to Consciousness , 2007, Consciousness and Experience.

[15]  Max Coltheart,et al.  How Can Functional Neuroimaging Inform Cognitive Theories? , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[16]  Angus W. MacDonald,et al.  Affective and Executive Network Processing Associated with Persuasive Antidrug Messages , 2013, Journal of Cognitive Neuroscience.

[17]  Bruce Fischl,et al.  Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.

[18]  Emily B. Falk,et al.  Predicting Persuasion-Induced Behavior Change from the Brain , 2010, The Journal of Neuroscience.

[19]  Gary F. Egan,et al.  Simulation of the Effects of Global Normalization Procedures in Functional MRI , 2002, NeuroImage.

[20]  R. Malach,et al.  Intersubject Synchronization of Cortical Activity During Natural Vision , 2004, Science.

[21]  Thomas T. Liu,et al.  Part II: design of experiments , 2022 .

[22]  Edward Vul,et al.  Reply to Comments on “Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition” , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[23]  M. Mintun,et al.  Brain work and brain imaging. , 2006, Annual review of neuroscience.

[24]  D. Tank,et al.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Michael B. Miller,et al.  of Serendipitous and Unexpected Results Neural Correlates of Interspecies Perspective Taking in the Post-Mortem Atlantic Salmon : An Argument For Proper Multiple Comparisons Correction , 2010 .

[26]  Alexa M. Morcom,et al.  Does the brain have a baseline? Why we should be resisting a rest , 2007, NeuroImage.

[27]  Nikos K Logothetis,et al.  On the nature of the BOLD fMRI contrast mechanism. , 2004, Magnetic resonance imaging.

[28]  S. Garrod,et al.  Brain-to-brain coupling: a mechanism for creating and sharing a social world , 2012, Trends in Cognitive Sciences.

[29]  René Weber Brain, Mind and Media Neuroscience Meets Media Psychology , 2013 .

[30]  Soon Chun Siong,et al.  Comparison of block and event‐related fMRI designs in evaluating the word‐frequency effect , 2003, Human brain mapping.

[31]  Mark W. Woolrich,et al.  Multilevel linear modelling for FMRI group analysis using Bayesian inference , 2004, NeuroImage.

[32]  H. Pashler,et al.  Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition 1 , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[33]  U. Hasson,et al.  Speaker–listener neural coupling underlies successful communication , 2010, Proceedings of the National Academy of Sciences.

[34]  John D. Van Horn,et al.  Unique and persistent individual patterns of brain activity across different memory retrieval tasks , 2009, NeuroImage.

[35]  Stephen M. Smith,et al.  Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.

[36]  Alan D. Castel,et al.  Seeing is believing: The effect of brain images on judgments of scientific reasoning , 2008, Cognition.

[37]  Elliot T. Berkman,et al.  Correlations in Social Neuroscience Aren't Voodoo , 2009 .

[38]  Joseph J. Paton,et al.  Big behavioral data: psychology, ethology and the foundations of neuroscience , 2014, Nature Neuroscience.

[39]  Kevin Murphy,et al.  The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.

[40]  Mark W. Woolrich,et al.  Robust group analysis using outlier inference , 2008, NeuroImage.

[41]  Jukka-Pekka Kauppi,et al.  Inter-Subject Correlation in fMRI: Method Validation against Stimulus-Model Based Analysis , 2012, PloS one.

[42]  Stephen M. Smith,et al.  Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.

[43]  Karl J. Friston Functional and effective connectivity in neuroimaging: A synthesis , 1994 .

[44]  A. Greenwald PSS 7210 . 1177 / 1745691611434210 GreenwaldMethod – Theory Synergy There Is Nothing So Theoretical as a Good Method , 2012 .

[45]  René Weber,et al.  Biology and Brains — Methodological Innovations in Communication Science: Introduction to the Special Issue , 2015 .

[46]  Nicole M. Petrovich,et al.  Cortical Activation While Watching Video Montage: An fMRI Study , 2006 .

[47]  Richard E. Mayer,et al.  Individual differences in cognitive style and strategy predict similarities in the patterns of brain activity between individuals , 2012, NeuroImage.

[48]  Mukesh Dhamala,et al.  Hyperscanning : Simultaneous fMRI during Linked Social Interactions , 2001 .

[49]  Deena Skolnick Weisberg,et al.  The Seductive Allure of Neuroscience Explanations , 2008, Journal of Cognitive Neuroscience.

[50]  R. Poldrack Can cognitive processes be inferred from neuroimaging data? , 2006, Trends in Cognitive Sciences.

[51]  Kerri Smith,et al.  Brain imaging: fMRI 2.0 , 2012, Nature.

[52]  Karl J. Friston,et al.  Slice-timing effects and their correction in functional MRI , 2011, NeuroImage.

[53]  D. Heeger,et al.  Neurocinematics: The Neuroscience of Film , 2008 .

[54]  Allison Eden,et al.  Seeing Bad People Punished Makes Us Think Alike: Social Norm Violations in Television Drama Elicit Cortical Synchronization in Viewers , 2011 .

[55]  Elliot T. Berkman,et al.  Correlations in Social Neuroscience Aren't Voodoo: Commentary on Vul et al. (2009) , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[56]  Jack L. Gallant,et al.  A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain , 2012, Neuron.

[57]  M. D’Esposito,et al.  The variability of human BOLD hemodynamic responses , 1998, NeuroImage.

[58]  Russell A Poldrack,et al.  Using fMRI to Constrain Theories of Cognition , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[59]  Daniel Hershey,et al.  Blood Oxygenation , 1970, Springer US.

[60]  Sophie Achard The Statistical Analysis of Functional MRI Data , 2008 .

[61]  Colin Klein,et al.  Confirmation, Refutation, and the Evidence of fMRI , 2010 .

[62]  J. Gallant,et al.  Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies , 2011, Current Biology.

[63]  Stephen M. Smith,et al.  Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data , 2001, NeuroImage.

[64]  Emily B. Falk,et al.  Can Neuroscience Advance Our Understanding of Core Questions in Communication Studies? An Overview of Communication Neuroscience , 2012 .

[65]  Yong He,et al.  BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.

[66]  M. Lindquist The Statistical Analysis of fMRI Data. , 2008, 0906.3662.

[67]  Sean M. Polyn,et al.  Beyond mind-reading: multi-voxel pattern analysis of fMRI data , 2006, Trends in Cognitive Sciences.

[68]  O. Churches,et al.  Emoticons in mind: An event-related potential study , 2014, Social neuroscience.

[69]  C. S. Green,et al.  Brains on video games , 2011, Nature Reviews Neuroscience.

[70]  Cayce J. Hook,et al.  The Seductive Allure of “Seductive Allure” , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[71]  Jack L. Gallant,et al.  Encoding and decoding in fMRI , 2011, NeuroImage.

[72]  Elliot T. Berkman,et al.  Neural activity during health messaging predicts reductions in smoking above and beyond self-report. , 2011, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[73]  J. Duyn,et al.  Investigation of Low Frequency Drift in fMRI Signal , 1999, NeuroImage.

[74]  Thomas E. Nichols,et al.  Handbook of Functional MRI Data Analysis: Index , 2011 .

[75]  T. Yarkoni Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power—Commentary on Vul et al. (2009) , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[76]  Russell A. Poldrack,et al.  Guidelines for reporting an fMRI study , 2008, NeuroImage.

[77]  Emily B. Falk,et al.  Neural Prediction of Communication-Relevant Outcomes , 2015 .

[78]  Nancy Kanwisher,et al.  How fMRI Can Inform Cognitive Theories , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[79]  Russell A. Poldrack,et al.  Handbook of Functional MRI Data Analysis: Visualizing, localizing, and reporting fMRI data , 2011 .

[80]  Catherine J. Norris,et al.  Just because you're imaging the brain doesn't mean you can stop using your head: a primer and set of first principles. , 2003, Journal of personality and social psychology.

[81]  P. Fox,et al.  Children's Brain Activations While Viewing Televised Violence Revealed by fMRI , 2006 .

[82]  Annie Lang,et al.  Discipline in crisis? The shifting paradigm of mass communication research , 2013 .

[83]  R. Turner,et al.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[84]  Jennings Bryant,et al.  Brain Imaging-An Introduction to a New Approach to Studying Media Processes and Effects , 2006 .

[85]  Arno Klein,et al.  Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration , 2009, NeuroImage.

[86]  René Weber,et al.  Neural Predictors of Message Effectiveness during Counterarguing in Antidrug Campaigns , 2015 .

[87]  CM Bennett,et al.  Neural correlates of interspecies perspective taking in the post-mortem Atlantic Salmon: an argument for multiple comparisons correction , 2009, NeuroImage.

[88]  M. Page,et al.  What Can't Functional Neuroimaging Tell the Cognitive Psychologist? , 2006, Cortex.

[89]  R. C. Gur,et al.  Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study , 2002, NeuroImage.

[90]  Jeffrey M. Zacks,et al.  Searchlight analysis: Promise, pitfalls, and potential , 2013, NeuroImage.

[91]  Yul-Wan Sung,et al.  Functional magnetic resonance imaging , 2004, Scholarpedia.

[92]  Lloyd T. Elliott,et al.  Cortical surface-based searchlight decoding , 2011, NeuroImage.

[93]  R. Passingham,et al.  Reading Hidden Intentions in the Human Brain , 2007, Current Biology.

[94]  G. Rees The new phrenology: the limits of localizing cognitive processes in the brain , 2002 .

[95]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.