Presentation + Paper
21 February 2020 Using fNIRS to study the brain activation and networks associated with Chinese character recognition
Author Affiliations +
Proceedings Volume 11226, Neural Imaging and Sensing 2020; 112260C (2020) https://doi.org/10.1117/12.2542231
Event: SPIE BiOS, 2020, San Francisco, California, United States
Abstract
In this study, functional near-infrared spectroscopy (fNIRS) was used to examine the brain activation patterns in the occipitotemporal cortex (OTC) associated with Chinese character recognition (CCR). Eighteen healthy participants were recruited to perform a well-designed task involving three types of stimuli including real characters, pseudo characters and checkerboards. By inspecting the brain activation difference and its relationship with behavioral data, we discovered that the left hemisphere is responsible for the orthographical information processing. Meanwhile, we found that the bilateral superior temporal gyrus (STG), bilateral Brodmann's area (BA) 19 and left fusiform gyrus were involved in high-level lexical information processing such as semantic and phonological ones, indicating that the brain activities in these regions were associated with enhanced CCR performance. In addition, by examining functional brain networks, it was discovered that increased brain connectivity in the right BA 19 exhibited significant correlation with the performance of CCR. Consequently, the combination of fNIRS technique with functional network analysis paves a new avenue for an improved understanding the cognitive mechanism underlying CCR.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen Yuan and Zhishan Hu "Using fNIRS to study the brain activation and networks associated with Chinese character recognition", Proc. SPIE 11226, Neural Imaging and Sensing 2020, 112260C (21 February 2020); https://doi.org/10.1117/12.2542231
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KEYWORDS
Brain

Brain activation

Visualization

Data processing

Optical character recognition

Binary data

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