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.
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|State||Published - 1 Jan 2019|
|Event||Biomedical Imaging and Sensing Conference 2019, BISC 2019 - Yokohama, Japan|
Duration: 22 Apr 2019 → 26 Apr 2019
- Functional connectivity
- Prefrontal cortex
- Resting-state functional near-infrared spectroscopy