Wasim Q. Malik

W. Q. Malik is with the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, and also with the Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA.

Associated articles

TBME, Featured Articles
Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem
Electroencephalography (EEG) and magnetoencephalography noninvasively record scalp electromagnetic fields generated by cerebral currents, revealing millisecond-level brain dynamics useful for neuroscience and clinical applications. Estimating the currents that generate these fields, i.e., source localization, is an ill-conditioned inverse problem. Solutions to... Read more
TBME,
Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem
Estimating the currents that underlie the field potentials captured by electroencephalography (EEG), i.e., EEG source localization, is an ill-conditioned inverse problem. Existing solutions consider spatial continuity constraints, dynamic modeling, or sparsity constraints. The computational cost of combining these approaches, however, poses a challenge for practical applications. We propose a new computationally efficient EEG source localization method that employs spatial covariance estimation, state-space modeling, and sparsity-enforcing priors. We validate the performance of our method using both simulated and experimentally recorded EEG data. Our approach provides substantial performance improvements over existing methods and thereby facilitates practical applications in both neuroscience and medicine... Read more