Michael Scherg
Overview
Explore the profile of Michael Scherg including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
42
Citations
1730
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization
Rusiniak M, Bornfleth H, Cho J, Wolak T, Ille N, Berg P, et al.
Front Neurosci
. 2022 Apr;
16:842420.
PMID: 35360180
For the analysis of simultaneous EEG-fMRI recordings, it is vital to use effective artifact removal tools. This applies in particular to the ballistocardiogram (BCG) artifact which is difficult to remove...
2.
Foged M, Scherg M, Fabricius M, Beniczky S
Epileptic Disord
. 2022 Jan;
24(2):229-248.
PMID: 35037627
Describing the location of EEG abnormalities, such as interictal epileptiform discharges, is an important step in the interpretation of EEG recordings and has clinical relevance, as it is expected to...
3.
Scherg M, Schulz R, Berg P, Cho J, Bornfleth H, Kural M, et al.
Clin Neurophysiol
. 2021 Nov;
133:9-19.
PMID: 34788717
Objective: To validate relative source power (RSP) imaging of extratemporal interictal epileptiform discharges (IEDs). Methods: The accuracy of RSP was validated in a cohort of patients with extratemporal focal epilepsy...
4.
Kural M, Duez L, Sejer Hansen V, Larsson P, Rampp S, Schulz R, et al.
Neurology
. 2020 Apr;
94(20):e2139-e2147.
PMID: 32321764
Objective: To define and validate criteria for accurate identification of EEG interictal epileptiform discharges (IEDs) using (1) the 6 sensor space criteria proposed by the International Federation of Clinical Neurophysiology...
5.
Scherg M, Berg P, Nakasato N, Beniczky S
Front Neurol
. 2019 Sep;
10:855.
PMID: 31481921
In contrast to many neuroimaging modalities, clinical interpretation of EEG does not take advantage of post-processing and digital signal analysis. In most centers, EEG is still interpreted at sensor level,...
6.
Iordanov T, Bornfleth H, Wolters C, Pasheva V, Venkov G, Lanfer B, et al.
Front Neurosci
. 2018 Nov;
12:746.
PMID: 30425613
Low resolution electromagnetic tomography (LORETA) is a well-known method for the solution of the l2-based minimization problem for EEG/MEG source reconstruction. LORETA with a volume-based source space is widely used...
7.
Beniczky S, Rosenzweig I, Scherg M, Jordanov T, Lanfer B, Lantz G, et al.
Seizure
. 2016 Oct;
43:1-5.
PMID: 27764709
Purpose: To determine the agreement between five different methods of ictal EEG source imaging, and to assess their accuracy in presurgical evaluation of patients with focal epilepsy. It was hypothesized...
8.
Maliia M, Meritam P, Scherg M, Fabricius M, Rubboli G, Mindruta I, et al.
Clin Neurophysiol
. 2016 Jan;
127(4):2127-33.
PMID: 26818882
Objective: To investigate how often discharge propagation occurs within the spikes recorded in patients evaluated for epilepsy surgery, and to assess its impact on the accuracy of source imaging. Methods:...
9.
Beniczky S, Duez L, Scherg M, Hansen P, Tankisi H, Sidenius P, et al.
Clin Neurophysiol
. 2015 Aug;
127(2):1067-1072.
PMID: 26238854
Objective: Reviewing magnetoencephalography (MEG) recordings is time-consuming: signals from the 306 MEG-sensors are typically reviewed divided into six arrays of 51 sensors each, thus browsing each recording six times in...
10.
Kovac S, Chaudhary U, Rodionov R, Mantoan L, Scott C, Lemieux L, et al.
J Clin Neurophysiol
. 2014 Feb;
31(1):10-20.
PMID: 24492441
Purpose: To investigate the utility of EEG source imaging to lateralize ictal patterns in frontal lobe epilepsy, which were nonlateralized by standard EEG analysis. Methods: Prospective analysis of 17 seizures...