All Outputs (3)

Oscillatory neuronal dynamics associated with manual acupuncture: A magnetoencephalography study using beamforming analysis (2012)
Journal Article
Asghar, A., Johnson, R., Woods, W., Green, G. G., Lewith, G., & Macpherson, H. (2012). Oscillatory neuronal dynamics associated with manual acupuncture: A magnetoencephalography study using beamforming analysis. Frontiers in human neuroscience, 6(OCTOBER 2012), Article 303. https://doi.org/10.3389/fnhum.2012.00303

Magnetoencephalography (MEG) enables non-invasive recording of neuronal activity, with reconstruction methods providing estimates of underlying brain source locations and oscillatory dynamics from externally recorded neuromagnetic fields. The aim of... Read More about Oscillatory neuronal dynamics associated with manual acupuncture: A magnetoencephalography study using beamforming analysis.

Response of face-selective brain regions to trustworthiness and gender of faces (2012)
Journal Article
Mattavelli, G., Andrews, T. J., Asghar, A. U., Towler, J. R., & Young, A. W. (2012). Response of face-selective brain regions to trustworthiness and gender of faces. Neuropsychologia, 50(9), 2205-2211. https://doi.org/10.1016/j.neuropsychologia.2012.05.024

Neuropsychological and neuroimaging studies have demonstrated a role for the amygdala in processing the perceived trustworthiness of faces, but it remains uncertain whether its responses are linear (with the greatest response to the least trustworthy... Read More about Response of face-selective brain regions to trustworthiness and gender of faces.

Volume conduction effects in brain network inference from electroencephalographic recordings using phase lag index (2012)
Journal Article
Peraza, L. R., Asghar, A., Green, G., & Halliday, D. M. (2012). Volume conduction effects in brain network inference from electroencephalographic recordings using phase lag index. Journal of neuroscience methods, 207(2), 189-199. https://doi.org/10.1016/j.jneumeth.2012.04.007

In this paper, we test the performance of a synchronicity estimator widely applied in Neuroscience, phase lag index (PLI), for brain network inference in EEG. We implement the four sphere head model to simulate the volume conduction problem present i... Read More about Volume conduction effects in brain network inference from electroencephalographic recordings using phase lag index.