TY - JOUR
T1 - Spatial complexity method for tracking brain development and degeneration using functional near-infrared spectroscopy
AU - Liang, Zhenhu
AU - Wang, Yuxi
AU - Tian, Hao
AU - Gu, Yue
AU - Arimitsu, Takeshi
AU - Takahashi, Takao
AU - Minagawa, Yasuyo
AU - Niu, Haijing
AU - Tong, Yunjie
N1 - Funding Information:
Funding. National Natural Science Foundation of China (62073280); Science Fund for Distinguished Young Scholars of Hebei Province (F2021203033); Hebei Province Science and Technology Support Program (21372001D).
Publisher Copyright:
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.
PY - 2022/3
Y1 - 2022/3
N2 - Brain complexity analysis using functional near-infrared spectroscopy (fNIRS) has attracted attention as a biomarker for evaluating brain development and degeneration processes. However, most methods have focused on the temporal scale without capturing the spatial complexity. In this study, we propose a spatial time-delay entropy (STDE) method as the spatial complexity measure based on the time-delay measure between two oxy-hemoglobin (∆[HbO]) or two deoxy-hemoglobin (∆[Hb]) oscillations within the 0.01-0.1 Hz frequency band. To do this, we analyze fNIRS signals recorded from infants in their sleeping state, children, adults, and healthy seniors in their resting states. We also evaluate the effects of various noise to STDE calculations and STDE’s performance in distinguishing various developmental age groups. Lastly, we compare the results with the normalized global spatial complexity (NGSC) and sample entropy (SampEn) measures. Among these measures, STDEHbO (STDE based on ∆[HbO] oscillations) performs best. The STDE value increases with age throughout childhood (p < 0.001), and then decreases in adults and healthy seniors in the 0.01-0.1 Hz frequency band. This trajectory correlates with cerebrovascular development and degeneration. These findings demonstrate that STDE can be used as a new tool for tracking cerebrovascular development and degeneration across a lifespan based on the fNIRS resting-state measurements.
AB - Brain complexity analysis using functional near-infrared spectroscopy (fNIRS) has attracted attention as a biomarker for evaluating brain development and degeneration processes. However, most methods have focused on the temporal scale without capturing the spatial complexity. In this study, we propose a spatial time-delay entropy (STDE) method as the spatial complexity measure based on the time-delay measure between two oxy-hemoglobin (∆[HbO]) or two deoxy-hemoglobin (∆[Hb]) oscillations within the 0.01-0.1 Hz frequency band. To do this, we analyze fNIRS signals recorded from infants in their sleeping state, children, adults, and healthy seniors in their resting states. We also evaluate the effects of various noise to STDE calculations and STDE’s performance in distinguishing various developmental age groups. Lastly, we compare the results with the normalized global spatial complexity (NGSC) and sample entropy (SampEn) measures. Among these measures, STDEHbO (STDE based on ∆[HbO] oscillations) performs best. The STDE value increases with age throughout childhood (p < 0.001), and then decreases in adults and healthy seniors in the 0.01-0.1 Hz frequency band. This trajectory correlates with cerebrovascular development and degeneration. These findings demonstrate that STDE can be used as a new tool for tracking cerebrovascular development and degeneration across a lifespan based on the fNIRS resting-state measurements.
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U2 - 10.1364/BOE.449341
DO - 10.1364/BOE.449341
M3 - Article
AN - SCOPUS:85125881416
SN - 2156-7085
VL - 13
SP - 1718
EP - 1736
JO - Biomedical Optics Express
JF - Biomedical Optics Express
IS - 3
ER -