论文信息 - Temporal dynamics of fNIRS-recorded signals revealed via visibility graph - 字舞流文

Temporal dynamics of fNIRS-recorded signals revealed via visibility graph

Temporal dynamics of fNIRS signals recorded at resting-state and during task are examined using visibility graph (VG). Results show the power of scale-freeness of the VG can be used to differentiate the brain states.

Laleh Najafizadeh | L. Najafizadeh | Li Zhu | Li Zhu

[1] Laleh Najafizadeh,et al. Capturing dynamic patterns of task-based functional connectivity with EEG , 2013, NeuroImage.

[2] J. Pekar,et al. Meta-analysis of Go/No-go tasks demonstrating that fMRI activation associated with response inhibition is task-dependent , 2008, Neuropsychologia.

[3] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[4] Jonathan F. Donges,et al. Visibility graph analysis of geophysical time series: Potentials and possible pitfalls , 2012, Acta Geophysica.

[5] Lucas Lacasa,et al. From time series to complex networks: The visibility graph , 2008, Proceedings of the National Academy of Sciences.

[6] Alejandro Ramírez-Rojas,et al. Investigating the time dynamics of seismicity by using the visibility graph approach: Application to seismicity of Mexican subduction zone , 2013 .

[7] Laleh Najafizadeh,et al. Normative database of judgment of complexity task with functional near infrared spectroscopy—Application for TBI , 2012, NeuroImage.