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The Other End of the Leash: An Experimental Test to Analyze How Owners Interact with Their Pet Dogs
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Phase locking value revisited: teaching new tricks to an old dog
Ricardo Bruña1, Fernando Maestú, Ernesto Pereda
1Laboratory for Cognitive and Computational Neuroscience, Canter for Biomedical Technology, Technical University of Madrid, Pozuelo de Alarcón, Madrid, Spain. Departamento de Psicologia Experimental, Procesos Psicologicos y Logopedia, Faculty of Psychology, Complutense University of Madrid, Pozuelo de Alarcón, Madrid, Spain.
Journal of Neural Engineering
|June 29, 2018
Summary
We present a faster method for calculating brain connectivity using phase locking value (PLV). This enhanced algorithm significantly speeds up whole-brain analysis and introduces new metrics robust to signal interference.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Signal Processing
Background:
- Estimating brain connectivity is computationally intensive, hindering large-scale analyses.
- Current algorithms for brain connectivity scale poorly with the number of signals.
Purpose of the Study:
- To re-formulate the phase locking value (PLV) algorithm for computational efficiency.
- To introduce new metrics for brain connectivity analysis robust to common artifacts.
Main Methods:
- Re-formulated the phase locking value (PLV) algorithm for improved computational performance.
- Developed new metrics: imaginary part of PLV (iPLV) and corrected iPLV (ciPLV).
- Evaluated robustness against volume conduction and zero-lag synchronization.
Main Results:
- Achieved a 100-fold speedup in PLV calculation compared to the original algorithm.
- The new metrics (iPLV, ciPLV) demonstrated high robustness against volume conduction.
- ciPLV effectively ignored zero-lag synchronization while accurately measuring non-zero-lag connectivity.
Conclusions:
- The optimized PLV implementation enables rapid whole-brain connectivity estimation.
- ciPLV is a robust metric for brain synchronization, particularly in the presence of volume conduction and source leakage.
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