Study on the option of the optimal time length of measurement in resting-state fNIRS brain imaging

Chia Cheng Wang, Guan Cheng Dong, Jung-Chih Chen, Chia Yen Lee, Ching-Cheng Chuang

Research output: Contribution to journalConference articlepeer-review

Abstract

Resting-state functional near-infrared spectroscopy (rs-fNIRS) has become a powerful tool for evaluating the functional connectivity (FC) and networks of the brain. However, how short period of the rs-fNIRS scanning time can adequately present the stable resting-state functional network features of the brain is still unclear, especially in the prefrontal cortex (PFC) which play an important role in complex brain functions. In this study, the 10-min duration of the rs-fNIRS signal of PFC was measured from 38 participants and then the time series was divided into 10 parts from 1 to 10 min with a 60-sec increment. The optimal time length in rs-fNIRS measurement was investigated by analyzing the correlation, significant difference and connectome between different durations of rs-fNIRS scanning time. The results show that FC maps exhibited high similarity achieved after 2.0 min fNIRS data acquisition duration. Our findings suggest that the rs-fNIRS provide high potential to apply to clinical neuroscience.

Original languageEnglish
Article number1114001-209
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume11140
StatePublished - 1 Jan 2019
EventBiomedical Imaging and Sensing Conference 2019, BISC 2019 - Yokohama, Japan
Duration: 22 Apr 201926 Apr 2019

Keywords

  • Functional connectivity
  • Prefrontal cortex
  • Resting-state functional near-infrared spectroscopy

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