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Spatial complexity method for tracking brain development and degeneration using functional near-infrared

Zhenhu Liang1,2, Yuxi Wang1,2, Hao Tian1,2

  • 1Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.

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|April 13, 2022
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Summary

A new spatial time-delay entropy (STDE) method analyzes brain complexity using functional near-infrared spectroscopy (fNIRS). STDE effectively tracks brain development and degeneration across the lifespan.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Functional near-infrared spectroscopy (fNIRS) is used for brain development and degeneration analysis.
  • Existing fNIRS methods primarily focus on temporal, not spatial, brain complexity.
  • Spatial complexity is crucial for a comprehensive understanding of brain function.

Purpose of the Study:

  • To introduce a novel spatial time-delay entropy (STDE) method for quantifying spatial brain complexity.
  • To assess STDE's efficacy in evaluating brain development and degeneration across different age groups.
  • To compare STDE with existing complexity measures like NGSC and SampEn.

Main Methods:

  • Developed the spatial time-delay entropy (STDE) method using time-delay measures of oxy-hemoglobin (Δ[HbO]) and deoxy-hemoglobin (Δ[Hb]) oscillations.
  • Analyzed fNIRS data from infants, children, adults, and healthy seniors during resting states.
  • Evaluated the impact of noise on STDE calculations and its performance in differentiating age groups.

Main Results:

  • STDE, particularly STDE based on Δ[HbO] oscillations (STDEHbO), outperformed other measures.
  • STDE values showed a significant increase with age during childhood (p < 0.001).
  • A decrease in STDE was observed in adults and healthy seniors, correlating with cerebrovascular changes.

Conclusions:

  • STDE is a robust new tool for measuring spatial brain complexity from fNIRS data.
  • The STDE trajectory across the lifespan reflects cerebrovascular development and degeneration.
  • This method offers a novel approach for lifespan brain health monitoring using resting-state fNIRS.