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Topographical Estimation of Visual Population Receptive Fields by fMRI
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A meta-analysis of fMRI decoding: Quantifying influences on human visual population codes.

Marc N Coutanche1, Sarah H Solomon2, Sharon L Thompson-Schill2

  • 1Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.

Neuropsychologia
|January 24, 2016
PubMed
Summary

This study reveals organizational principles of the human visual ventral stream using functional magnetic resonance imaging (fMRI) meta-analysis. Methodological choices significantly impact decoding strength, guiding future fMRI research.

Keywords:
DecodingMVPAMeta-analysisObjectsPatternsVision

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuroimaging

Background:

  • Neural activity patterns in the human visual system are captured by functional magnetic resonance imaging (fMRI).
  • Decoding perceptual features and objects from fMRI data has advanced over the past 15 years.

Purpose of the Study:

  • To analyze and model relationships between decoding strength in the visual ventral stream and various stimulus/methodological variables across studies.
  • To identify organizational principles of the ventral stream and the impact of methodological choices on decoding accuracy.

Main Methods:

  • A novel multi-study meta-analysis was conducted on fMRI data.
  • Relationships between decoding strength, stimulus, and methodological variables were modeled.

Main Results:

  • Identified organizational principles of the ventral stream, including a gradient of pattern granulation and increasing representational abstraction anteriorly.
  • Demonstrated that methodological choices significantly influence decoding strength in fMRI studies.
  • Found a correlation between stronger decoding performance, higher-impact journals, and authors with higher h-indices.

Conclusions:

  • The findings elucidate regional processing principles within the ventral stream.
  • The study provides an empirical approach to optimize future fMRI decoding study designs and analysis strategies.