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Studying hemispheric lateralization during a Stroop task through near-infrared spectroscopy-based connectivity.

Lei Zhang1, Jinyan Sun1, Bailei Sun1

  • 1Huazhong University of Science and Technology-Wuhan National Laboratory for Optoelectronics, Britton Chance Center for Biomedical Photonics, Wuhan 430074, ChinabHuazhong University of Science and Technology, Department of Biomedical Engineering, MoE Key L.

Journal of Biomedical Optics
|May 28, 2014
PubMed
Summary

Near-infrared spectroscopy (NIRS) brain imaging reveals left prefrontal cortex dominance during a Stroop task. NIRS-based connectivity analysis offers a more sensitive method for understanding brain function than traditional activation methods.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Biomedical Engineering

Background:

  • Near-infrared spectroscopy (NIRS) is an emerging functional brain imaging technique.
  • Effective data analysis is crucial for NIRS technology adoption.
  • Understanding prefrontal cortex (PFC) activity during cognitive tasks is essential.

Purpose of the Study:

  • To investigate prefrontal cortex (PFC) hemodynamic activity during a Stroop task using NIRS.
  • To compare traditional activation analysis with novel NIRS-based connectivity analyses for assessing hemispheric lateralization.
  • To explore the relationship between behavioral performance and brain activation/connectivity.

Main Methods:

  • NIRS was used to measure PFC hemodynamic activity during a color-word matching Stroop task.
  • Wavelet transform coherence assessed intrahemispheric functional connectivity.
  • Granger causality evaluated interhemispheric effective connectivity.

Main Results:

  • Both activation and functional connectivity analyses indicated leftward lateralization for the Stroop effect.
  • Functional connectivity analysis demonstrated higher sensitivity in detecting hemispheric lateralization compared to activation analysis.
  • Increased information flow from the left to the right PFC was observed for incongruent vs. neutral tasks, suggesting a left PFC leading role.

Conclusions:

  • NIRS-based functional connectivity analysis provides a more comprehensive understanding of brain functional architecture than traditional activation methods.
  • Connectivity analysis enhances the utility of NIRS for studying cognitive processes and hemispheric specialization.
  • This study highlights the potential of NIRS connectivity for advancing brain imaging research.