Resting-state EEG topographies: Reliable and sensitive signatures of unilateral spatial neglect
Pirondini, ElviraInstitute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland - Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
Goldshuv-Ezra, NuritDepartment of Neurological Rehabilitation, Loewenstein Rehabilitation Hospital, Raanana, Israel - Evoked Potentials Laboratory, Technion – Israel Institute of Technology, Haifa, Israel
Zinger, NofyaDepartment of Psychology and Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Israel
Britz, JulianeDepartment of Psychology and Neurology Unit, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Fribourg 1700, Switzerland
Soroker, NachumDepartment of Neurological Rehabilitation, Loewenstein Rehabilitation Hospital, Raanana, Israel - Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
Deouell, Leon Y.Department of Psychology and Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Israel
Van De Ville, DimitriInstitute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland - Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
English
Theoretical advances in the neurosciences are leading to the development of an increasing number of proposed interventions for the enhancement of functional recovery after brain damage. Integration of these novel approaches in clinical practice depends on the availability of reliable, simple, and sensitive biomarkers of impairment level and extent of recovery, to enable an informed clinical-decision process. However, the neuropsychological tests currently in use do not tap into the complex neural re-organization process that occurs after brain insult and its modulation by treatment. Here we show that topographical analysis of resting-state electroencephalography (rsEEG) patterns using singular value decomposition (SVD) could be used to capture these processes. In two groups of subacute stroke patients, we show reliable detection of deviant neurophysiological patterns over repeated measurement sessions on separate days. These patterns generalized across patients groups. Additionally, they maintained a significant association with ipsilesional attention bias, discriminating patients with spatial neglect of different severity levels. The sensitivity and reliability of these rsEEG topographical analyses support their use as a tool for monitoring natural and treatment-induced recovery in the rehabilitation process.