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Related Experiment Video

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Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

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Published on: June 20, 2012

Tangram solved? Prefrontal cortex activation analysis during geometric problem solving.

Hasan Ayaz1, Patricia A Shewokis, Meltem Izzetoğlu

  • 1School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA. ayaz@drexel.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary

This study used functional near-infrared spectroscopy (fNIR) to monitor brain activity during geometric problem-solving. Increased brain activity in the right hemisphere was observed, particularly during difficult or failed tangram tasks.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Educational Technology

Background:

  • Neuroimaging studies link prefrontal and parietal cortices to mathematical problem solving.
  • Mental arithmetic tasks are common for studying mathematical reasoning, but can involve linguistic interference.

Purpose of the Study:

  • To investigate neural correlates of geometric problem solving using tangram tasks.
  • To assess the utility of functional near-infrared spectroscopy (fNIR) for monitoring brain activity during visuospatial reasoning.
  • To explore differences in brain activation between successful and failed problem-solving attempts.

Main Methods:

  • Utilized portable functional near-infrared spectroscopy (fNIR) to measure hemodynamic changes.
  • Monitored anterior prefrontal cortex activity in 12 healthy subjects.
  • Employed computerized tangram tasks and control tasks involving geometric shape manipulation without problem-solving.

Main Results:

  • Significant increases in total hemoglobin (HbT) concentration were observed in the right hemisphere during tangram problem solving.
  • HbT changes were significantly higher in failed trials compared to successful trials.
  • fNIR successfully detected cortical activation changes related to geometric problem solving.

Conclusions:

  • fNIR is a viable tool for assessing brain activity during geometric problem solving.
  • Increased activation during failed trials suggests greater cognitive effort or executive demand.
  • The safety and portability of fNIR make it suitable for educational settings to optimize learning.