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[Research on the correlation of brain function based on improved phase locking value].

Xin Li1, Mengdi Fan2, Xiaoqi Sun2

  • 1Institute of Biomedical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P.R.China;Measurement Technology and Instrumentation Key Lab of Hebei Province, Qinhuangdao, Hebei 066004, P.R.China.yddylixin@ysu.edu.cn.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|June 26, 2018
PubMed
Summary
This summary is machine-generated.

A new Amplitude Locking Value (ALV) method analyzes electroencephalogram (EEG) signals, revealing brain connectivity. This approach found that brain region coherence negatively correlates with cognitive activity, particularly in central and parietal areas.

Keywords:
amplitude locking valuebrain function correlationelectroencephalogram signalempirical mode decompositionphase locking value

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Area of Science:

  • Neuroscience
  • Signal Processing
  • Cognitive Science

Background:

  • Phase Locking Value (PLV) analyzes brain phase synchronization and functional connectivity using electroencephalogram (EEG) signals.
  • Traditional PLV methods are limited as they only analyze signal phase components, not other signal characteristics.

Purpose of the Study:

  • To introduce a novel Amplitude Locking Value (ALV) algorithm for analyzing EEG signal characteristics beyond phase synchronization.
  • To investigate the relationship between brain region coherence and cognitive activity using the new ALV method.

Main Methods:

  • Empirical Mode Decomposition (EMD) was used to obtain intrinsic mode functions from EEG signals.
  • Hilbert Transformation (HT) was applied to the intrinsic mode functions to calculate instantaneous amplitude.
  • Amplitude Locking Value (ALV) was computed to measure instantaneous amplitude between electrodes.

Main Results:

  • The ALV method successfully measured instantaneous amplitude of EEG signals between electrodes.
  • Analysis of 14 subjects performing cognitive tasks revealed a negative correlation between brain region coherence and cognitive activity.
  • The central and parietal brain areas demonstrated the highest sensitivity to changes in coherence during cognitive tasks.

Conclusions:

  • The developed ALV method provides a quantitative approach to analyze real biological information in EEG signals.
  • Correlation analysis using ALV offers a novel method for studying brain synchronism and cognitive processes.
  • This research lays a foundation for further exploration into the brain's thinking modes and functional connectivity.