AUTHOR=Alikhanian Hooman , Crawford J. Douglas , DeSouza Joseph F., Cheyne Douglas , Blohm Gunnar TITLE=Adaptive cluster analysis approach for functional localization using magnetoencephalography JOURNAL=Frontiers in Neuroscience VOLUME=7 YEAR=2013 URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2013.00073 DOI=10.3389/fnins.2013.00073 ISSN=1662-453X ABSTRACT=

In this paper we propose an agglomerative hierarchical clustering Ward's algorithm in tandem with the Affinity Propagation algorithm to reliably localize active brain regions from magnetoencephalography (MEG) brain signals. Reliable localization of brain areas with MEG has been difficult due to variations in signal strength, and the spatial extent of the reconstructed activity. The proposed approach to resolve this difficulty is based on adaptive clustering on reconstructed beamformer images to find locations that are consistently active across different participants and experimental conditions with high spatial resolution. Using data from a human reaching task, we show that the method allows more accurate and reliable localization from MEG data alone without using functional magnetic resonance imaging (fMRI) or any other imaging techniques.