Brain Imaging, Forward Inference, and Theories of Reasoning

This review focuses on the issue of how neuroimaging studies address theoretical accounts of reasoning, through the lens of the method of forward inference (Henson, 2005, 2006). After theories of deductive and inductive reasoning are briefly presented, the method of forward inference for distinguishing between psychological theories based on brain imaging evidence is critically reviewed. Brain imaging studies of reasoning, comparing deductive and inductive arguments, comparing meaningful versus non-meaningful material, investigating hemispheric localization, and comparing conditional and relational arguments, are assessed in light of the method of forward inference. Finally, conclusions are drawn with regard to future research opportunities.

[1]  Laure Zago,et al.  Access to Deductive Logic Depends on a Right Ventromedial Prefrontal Area Devoted to Emotion and Feeling: Evidence from a Training Paradigm , 2001, NeuroImage.

[2]  Daniel R. Little,et al.  Activation in the neural network responsible for categorization and recognition reflects parameter changes , 2011, Proceedings of the National Academy of Sciences.

[3]  Daniel N. Osherson,et al.  The boundaries of language and thought : neural basis of inference making , 2009 .

[4]  Evan Heit,et al.  Relations between inductive reasoning and deductive reasoning. , 2010, Journal of experimental psychology. Learning, memory, and cognition.

[5]  Mark D'Esposito,et al.  The salience network causally influences default mode network activity during moral reasoning. , 2013, Brain : a journal of neurology.

[6]  Vladimir M. Sloutsky,et al.  fMRI Evidence for a Three-Stage Model of Deductive Reasoning , 2006, Journal of Cognitive Neuroscience.

[7]  N. McGlynn Thinking fast and slow. , 2014, Australian veterinary journal.

[8]  Brett K. Hayes,et al.  Relations Between Memory and Reasoning , 2012 .

[9]  James R. Booth,et al.  The Brain Network for Deductive Reasoning: A Quantitative Meta-analysis of 28 Neuroimaging Studies , 2011, Journal of Cognitive Neuroscience.

[10]  Vinod Goel,et al.  Differential involvement of left prefrontal cortexin inductive and deductive reasoning , 2004, Cognition.

[11]  T. Harley Does Cognitive Neuropsychology have a future? , 2004, Cognitive neuropsychology.

[12]  Vinod Goel,et al.  The Neural Basis of Conditional Reasoning with Arbitrary Content , 2004, Cortex.

[13]  Evan Heit,et al.  The Neural Correlates of Belief Bias: Activation in Inferior Frontal Cortex Reflects Response Rate Differences , 2014, Front. Hum. Neurosci..

[14]  安藤 広志,et al.  20世紀の名著名論:David Marr:Vision:a Computational Investigation into the Human Representation and Processing of Visual Information , 2005 .

[15]  Vinod Goel,et al.  Anatomy of deductive reasoning , 2007, Trends in Cognitive Sciences.

[16]  L. Rips The Psychology of Proof: Deductive Reasoning in Human Thinking , 1994 .

[17]  P. Johnson-Laird Mental models and probabilistic thinking , 1994, Cognition.

[18]  Edward E. Smith,et al.  Category-Based Induction , 1990 .

[19]  D. Osherson,et al.  Distinct brain loci in deductive versus probabilistic reasoning , 1998, Neuropsychologia.

[20]  R. Dolan,et al.  Functional neuroanatomy of three-term relational reasoning , 2001, Neuropsychologia.

[21]  Evan Heit,et al.  Modeling the effects of argument length and validity on inductive and deductive reasoning. , 2009, Journal of experimental psychology. Learning, memory, and cognition.

[22]  D. Osherson,et al.  The boundaries of language and thought in deductive inference , 2009, Proceedings of the National Academy of Sciences.

[23]  S. Kapur,et al.  The seats of reason? An imaging study of deductive and inductive reasoning , 1997, Neuroreport.

[24]  Richard Henson,et al.  Forward inference using functional neuroimaging: dissociations versus associations , 2006, Trends in Cognitive Sciences.

[25]  Nikolai Axmacher,et al.  Using state-trace analysis to dissociate the functions of the human hippocampus and perirhinal cortex in recognition memory , 2013, Proceedings of the National Academy of Sciences.

[26]  Laure Zago,et al.  Shifting from the Perceptual Brain to the Logical Brain: The Neural Impact of Cognitive Inhibition Training , 2000, Journal of Cognitive Neuroscience.

[27]  R. Johnson,et al.  On the neural generators of the P300 component of the event-related potential. , 2007, Psychophysiology.

[28]  Mark W Greenlee,et al.  Spatial imagery in deductive reasoning: a functional MRI study. , 2002, Brain research. Cognitive brain research.

[29]  John R. Anderson Arguments concerning representations for mental imagery. , 1978 .

[30]  Guillermo Del Pinal,et al.  There and up again: On the uses and misuses of neuroimaging in psychology , 2013, Cognitive neuropsychology.

[31]  Gideon Keren,et al.  A Tale of Two Systems , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[32]  Daniel N. Osherson,et al.  Logic, language and the brain , 2012, Brain Research.

[33]  Vinod Goel,et al.  Neuroanatomical Correlates of Human Reasoning , 1998, Journal of Cognitive Neuroscience.

[34]  Sloutsky,et al.  The Neural Correlates of Logical Thinking: An Event-Related fMRI Study , 2005 .

[35]  R. Turner,et al.  Deficient approaches to human neuroimaging , 2014, Front. Hum. Neurosci..

[36]  Evan Heit,et al.  What Is Induction and Why Study It , 2007 .

[37]  Daniel N. Osherson,et al.  Functional neuroanatomy of deductive inference: A language-independent distributed network , 2007, NeuroImage.

[38]  N. Chater,et al.  Précis of Bayesian Rationality: The Probabilistic Approach to Human Reasoning , 2009, Behavioral and Brain Sciences.

[39]  J. Tenenbaum,et al.  Generalization, similarity, and Bayesian inference. , 2001, The Behavioral and brain sciences.

[40]  E. Heit,et al.  Inductive reasoning , 1992, Language Computations.

[41]  S. Sloman Feature-Based Induction , 1993, Cognitive Psychology.

[42]  Kenneth R. Paap,et al.  Functional Neuroimages Fail to Discover Pieces of Mind in the Parts of the Brain , 1997, Philosophy of Science.

[43]  Michael L. Mack,et al.  Decoding the Brain’s Algorithm for Categorization from Its Neural Implementation , 2013, Current Biology.

[44]  Peter B. Henderson,et al.  Inductive reasoning , 2003, SGCS.

[45]  R. Dolan,et al.  Dissociation of Mechanisms Underlying Syllogistic Reasoning , 2000, NeuroImage.

[46]  L M Parsons,et al.  New Evidence for Distinct Right and Left Brain Systems for Deductive versus Probabilistic Reasoning. , 2001, Cerebral cortex.

[47]  Jérôme Prado,et al.  Recomposing a fragmented literature: How conditional and relational arguments engage different neural systems for deductive reasoning , 2010, NeuroImage.

[48]  W. Uttal Mind and Brain: A Critical Appraisal of Cognitive Neuroscience , 2011 .

[49]  P. Johnson-Laird,et al.  Reasoning, Models, and Images: Behavioral Measures and Cortical Activity , 2003, Journal of Cognitive Neuroscience.

[50]  Vinod Goel,et al.  Explaining modulation of reasoning by belief , 2003, Cognition.

[51]  Evan Heit,et al.  A Bayesian Analysis of Some Forms of Inductive Reasoning , 1998 .

[52]  Samuel M. McClure,et al.  Time Discounting for Primary Rewards , 2007, The Journal of Neuroscience.

[53]  M. Coltheart What has Functional Neuroimaging told us about the Mind (so far)? (Position Paper Presented to the European Cognitive Neuropsychology Workshop, Bressanone, 2005) , 2006, Cortex.

[54]  R. Henson What can Functional Neuroimaging Tell the Experimental Psychologist? , 2005, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[55]  Jonathan Evans,et al.  Science Perspectives on Psychological , 2022 .

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