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Physiological Signal Variability in hMT+ Reflects Performance on a Direction Discrimination Task.

Magdalena G Wutte¹, Michael T Smith, Virginia L Flanagin

¹Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University Munich, Germany.

Frontiers in Psychology

|August 20, 2011

Summary

Individual differences in visual motion perception are linked to variability in the human motion complex (hMT+). Higher fMRI signal variability in hMT+ correlates with better direction discrimination, suggesting noise enhances sensitivity.

Keywords:

BOLD signal variability direction sensitivity fMRI hMT+/V5 inter-individual differences motion perception multi-voxel pattern classification

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Area of Science:

Neuroscience
Visual Perception
Cognitive Science

Background:

The human motion complex (hMT+) is crucial for visual motion perception.
While neuronal coding in monkey hMT+ is understood, human inter-individual differences in perception remain unclear.

Purpose of the Study:

Investigate the physiological basis of inter-individual differences in human visual motion perception.
Relate psychophysical performance to functional magnetic resonance imaging (fMRI) measures in hMT+.

Main Methods:

fMRI was used to measure brain activity in hMT+ while participants viewed visual motion.
Pattern classification (PC) decoded motion directions from hMT+.
A generative model characterized fMRI signal variability during rest and stimulation.
Psychophysics measured individual direction discrimination thresholds.

Main Results:

Individual direction discrimination thresholds correlated significantly with fMRI signal variability in hMT+.
Pattern classification accuracies did not correlate with perceptual performance and were affected by non-physiological noise.
Higher fMRI signal variability in hMT+ compared to rest predicted lower discrimination thresholds.

Conclusions:

fMRI signal variability analysis in hMT+ is a robust method for studying inter-individual perceptual differences.
Increased fMRI signal variability in hMT+ may enhance neuronal sensitivity to motion stimuli, aligning with stochastic resonance theory.