Abstract:
We present a novel algorithm for non-invasive localization of regions of "silence" in the brain. "Silences" are sources in the brain without any electrical activity due t...Show MoreMetadata
Abstract:
We present a novel algorithm for non-invasive localization of regions of "silence" in the brain. "Silences" are sources in the brain without any electrical activity due to the ischemic conditions or lesions in stroke, traumatic brain injuries (TBIs) and hemorrhages. We aim to turn the widely used electroencephalography (EEG) systems into silence detectors. Our algorithm, in a nutshell, estimates the silence region by determining the contribution of each source (dipole) in the recorded signals and detects the sources with a reduced contribution as silences in the brain. In simulations on real-head MRI models, our algorithm detects different sizes of silent regions, ranging from the smallest ones (single-source silence) to the large ones, and it reduces bias by a factor of ~4 over classical source localization algorithms such as multiple signal classification approach (MUSIC) and minimum norm estimation (MNE), appropriately modified for recovering silences.
Date of Conference: 20-23 March 2019
Date Added to IEEE Xplore: 20 May 2019
ISBN Information: