Forward inference using functional neuroimaging: dissociations versus associations

@article{Henson2006ForwardIU,
  title={Forward inference using functional neuroimaging: dissociations versus associations},
  author={Richard N. A. Henson},
  journal={Trends in Cognitive Sciences},
  year={2006},
  volume={10},
  pages={64-69}
}
  • R. Henson
  • Published 1 February 2006
  • Psychology, Medicine
  • Trends in Cognitive Sciences
Many people are excited by functional neuroimaging as a new tool for cognitive science; many others are sceptical. In this opinion article, I describe a 'forward inference' that one can make from patterns of brain activity to distinguish between cognitive theories. I give an example of forward inferences in research on recognition memory, and outline some statistical criteria for a 'qualitative difference' in brain activity. Forward inferences resemble the dissociation logic long-used in… 
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  • Medicine, Psychology
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  • 2006
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It is argued that cognitive neuroscientists should be circumspect in the use of reverse inference, particularly when selectivity of the region in question cannot be established or is known to be weak.
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This dissertation advances a novel philosophical account of the relationship between brain mapping and cognitive theorizing in functional magnetic resonance imaging (fMRI) research. I argue that
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  • Medicine, Psychology
    Current Opinion in Neurobiology
  • 2008
TLDR
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  • D. Caplan
  • Psychology, Medicine
    Human brain mapping
  • 2009
This article discusses how the relation between experimental and baseline conditions in functional neuroimaging studies affects the conclusions that can be drawn from a study about the neural
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Brain Imaging, Forward Inference, and Theories of Reasoning
  • E. Heit
  • Computer Science, Medicine
    Front. Hum. Neurosci.
  • 2015
TLDR
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.
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Functional neuroimaging (NI) technologies like Positron Emission Tomography and functional Magnetic Resonance Imaging (fMRI) have revolutionized neuroscience, and provide crucial tools to link
Functional MRI: Approaches to Cognitive Neuroscience Applications
Neuroimaging has, in many respects, revolutionized the study of cognitive neuroscience, the discipline that attempts to determine the neural mechanisms underlying cognitive processes. Early studies
Functional Neuroimaging and Psychology: What Have You Done for Me Lately?
TLDR
Three trends are described that increase precisely this relevance of brain mapping, isolating neural markers of information processing steps to better understand complex tasks and psychological phenomena through probabilistic reverse inference, and using brain activity to predict subsequent behavior.
Mixtures and Psychological Inference with Resting State fMRI
In this essay, we examine the use of resting state fMRI data for psychological inferences. We argue that resting state studies hold the paired promises of discovering novel functional brain networks,
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Can cognitive processes be inferred from neuroimaging data?
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TLDR
It is argued that cognitive neuroscientists should be circumspect in the use of reverse inference, particularly when selectivity of the region in question cannot be established or is known to be weak.
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I argue here that functional neuroimaging data—which I restrict to the haemodynamic techniques of fMRI and PET—can inform psychological theorizing, provided one assumes a “systematic”
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