nach oben

Brain Topography

Erschienen in:

27.04.2018 | Original Paper

Spatio-temporal Reconstruction of Neural Sources Using Indirect Dominant Mode Rejection

verfasst von: Alireza Talesh Jafadideh, Babak Mohammadzadeh Asl

Erschienen in: Brain Topography | Ausgabe 4/2018

Einloggen, um Zugang zu erhalten

Abstract

Adaptive minimum variance based beamformers (MVB) have been successfully applied to magnetoencephalogram (MEG) and electroencephalogram (EEG) data to localize brain activities. However, the performance of these beamformers falls down in situations where correlated or interference sources exist. To overcome this problem, we propose indirect dominant mode rejection (iDMR) beamformer application in brain source localization. This method by modifying measurement covariance matrix makes MVB applicable in source localization in the presence of correlated and interference sources. Numerical results on both EEG and MEG data demonstrate that presented approach accurately reconstructs time courses of active sources and localizes those sources with high spatial resolution. In addition, the results of real AEF data show the good performance of iDMR in empirical situations. Hence, iDMR can be reliably used for brain source localization especially when there are correlated and interference sources.

BrainStorm, Matlab Toolbox. http://neuroimage.usc.edu/brainstorm/2017.

A point of the posterior root of the zygomatic arch lying immediately in front of the upper end of the tragus.

Baillet S, Mosher JC, Leahy RM (2001) Electromagnetic brain mapping. IEEE Signal Process Mag 18(6):14–30CrossRef

Berg P, Scherg M (1994) A fast method for forward computation of multiple-shell spherical head models. Electroencephalogr Clin Neurophysiol 90(1):58–64CrossRefPubMed

Brookes M, Stevenson C, Barnes G, Hillebrand A, Simpson M, Francis S, Morrisa P (2007) Beamformer reconstruction of correlated sources using a modified source model. Neuroimage 34(4):1454–1465CrossRefPubMed

Brookes MJ, Vrba J, Robinson SE, Stevenson CM, Peters AP, Barnes GR, Hillebrand A, Morris PG (2008) Optimising experimental design for MEG beamformer imaging. Neuroimage 39(4):1788–1802CrossRefPubMed

Chen YS, Cheng CY, Hsieh JC, Chen LF (2006) Maximum contrast beamformer for electromagnetic mapping of brain activity. IEEE Trans Biomed Eng 53(9):1765–1774CrossRefPubMed

Chowdhury RA, Younes Z, Tanguy H, Marcel H, Eliane K, Jean-Marc L, Christophe. G (2015) MEG–EEG information fusion and electromagnetic source imaging: from theory to clinical application in epilepsy. Brain Topogr 18(6):785–812CrossRef

Dai Y, Zhang W, Dickens DL, He B (2012) Source connectivity analysis from MEG and its application to epilepsy source localization. Brain Topogr 25(2):157–166CrossRefPubMed

Dalal S, Sekihara K, Nagarajan S (2006) Modified beamformers for coherent source region suppression. IEEE Trans Biomed Eng 53(7):1357–1363CrossRefPubMedPubMedCentral

Dinh C, Strohmeier D, Luessi M, Güllmar DG, Baumgarten D, Haueisen J, Hamalainen MS (2015) Real-time MEG source localization using regional clustering. Brain Topogr 28(6):771–784CrossRefPubMedPubMedCentral

Gorodnitsky J, George, Rao B (1995) Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm. Electroencephalogr Clin Neurophysiol 95(4)231–251CrossRefPubMed

Greenblatt RE, Ossadtchi A, Pflieger ME (2005) Local linear estimators for the bioelectromagnetic inverse problem. IEEE Trans Signal Process 53(9):3403–3412CrossRef

Haufe S, Arne E (2016) A simulation framework for benchmarking EEG-based brain connectivity estimation methodologies. Brain Topogr. https://doi.org/10.1007/s10548-016-0498-y PubMedCrossRef

Huang M-X, Shih JJ, Lee RR, Harrington DL, Thoma RJ, Weisend MP, Hanlon F, Paulson KM, Li T, Martin K, Miller GA, Canive JM (2004) Commonalities and differences among vectorized beamformers in electromagnetic source imaging. Brain Topogr 16(3):139–158CrossRefPubMed

Hui HB, Pantazis D, Bressler SL, Leahy RM (2010) Identifying true cortical interactions in MEG using the nulling beamformer. Neuroimage 49(4):3161–3174CrossRefPubMed

Hyvärinen A, Karhunen J, Oja E (2004) Independent component analysis, vol 46. Wiley, New York

Jonmohamadi Y, Poudel G, Innes C, Weiss D, Krueger R, Jones R (2014) Comparison of beamformers for EEG source signal reconstruction. Biomed Signal Process Control 14:175–188CrossRef

Kimura T, Kako M, Kamiyama H, Ishiyama A, Kasai N, Watanabe Y (2007) Inverse solution for time-correlated multiple sources using Beamformer method, vol 1300. International Congress Series, pp 417–420

Mills T, Marc L, Sandra NM, Margot JT, Maher AQ (2012) Techniques for detection and localization of weak hippocampal and medial frontal sources using beamformers in MEG. Brain Topogr 25(3):248–263CrossRefPubMed

Moiseev A, Herdman AT (2013) Multi-core beamformers: derivation, limitations and improvements. Neuroimage 71:135–146CrossRefPubMed

Moiseev A, Gaspar JM, Schneider JA, Herdman AT (2011) Application of multi-source minimum variance beamformers for reconstruction of correlated neural activity. NeuroImage 58(2):481–496CrossRefPubMed

Mosher JC, Leahy RM (1992) Multiple dipole modeling and localization from spatiotemporal MEG data. IEEE Trans Biomed Eng 39(6):541–557CrossRefPubMed

Mosher JC, Leahy RM (1998) Recursive MUSIC: a framework for EEG and MEG source localization. IEEE Trans Biomed Eng 45(11):1342–1354CrossRefPubMed

Mosher JC, Leahy RM (1999) Source localization using recursively applied and projected (RAP) MUSIC. IEEE Trans Signal Process 47(2):332–340CrossRef

Pascual-Marqui RD (2002) Standardized low resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol 24:5–12PubMed

Popescu M, Popescu E, Chan T, Blunt S, Lewine J (2008) Spatial-temporal reconstruction of bilateral auditory steady state responses using MEG beamformers. IEEE Trans Biomed Eng 55(3):1092–1102CrossRefPubMed

Quraan M, Cheyne D (2010) Reconstruction of correlated brain activity with adaptive spatialfilters in MEG. NeuroImage 49(3):2387–2400CrossRefPubMed

Santos EL, Zoltowski MD, Rangaswamy M (2007) Indirect dominant mode rejection: a solution to low sample support beamforming. IEEE Trans Signal Process 55(7):3283–3293CrossRef

Sekihara K, Nagarajan SS (2008) Adaptive spatial filters for electromagnetic brain imaging. Springer, Berlin

Sekihara K, Nagarajan S, Poeppel D, Marantz A, Miyashita Y (2001) Reconstructing spatio-temporal activities of neural sources using an MEG Vector beamformer technique. IEEE Trans Biomed Eng 48(7):760–771CrossRefPubMed

Sekihara K, Nagarajan S, Poeppel D, Marantz A (2004) Asymptotic SNR of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction. IEEE Trans Biomed Eng 51(10):1726–1734CrossRefPubMedPubMedCentral

Shahbazi F, Ewald A, Nolte G (2015) Self-consistent MUSIC: an approach to the localization of true brain interactions from EEG/MEG data. Neuroimage 112(6):299–309CrossRefPubMed

Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM (2011) Brainstorm: a user-friendly application for MEG/EEG analysis. Comput Intell Neurosci. https://doi.org/10.1155/2011/879716 PubMedPubMedCentralCrossRef

Tikhonov AN, Arsenin VY (1997) Solutions of Ill-posed problems. Wiley, New York, NY

Uutela K, Hamalainen M, Somersalo E (1999) Visualization of magnetoencephalographic data using minimum current estimates. Neuroimage 10(2):173–180CrossRefPubMed

Van Veen B, van Drongelen W, Yuchtman M, Suzuki A (1997) Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans Biomed Eng 44(9):867–880CrossRefPubMed

Xiang Y, Peng D, Yang Z (2015) Blind source separation: dependent component analysis. Springer, New YorkCrossRef

Xu XL, Xu B, He B (2004) An alternative subspace approach to EEG dipole source localization. Phys Med Biol 49:327–343CrossRefPubMed

Yeung N, Bogacz R, Holroyd CB, Cohen JD (2004) Detection of synchronized oscillations in the electroencephalogram: an evaluation of methods. Psychophysiology 41(6)822–832CrossRefPubMed

Titel: Spatio-temporal Reconstruction of Neural Sources Using Indirect Dominant Mode Rejection
verfasst von: Alireza Talesh Jafadideh
Babak Mohammadzadeh Asl
Publikationsdatum: 27.04.2018
Verlag: Springer US
Erschienen in: Brain Topography / Ausgabe 4/2018
Print ISSN: 0896-0267
Elektronische ISSN: 1573-6792
DOI: https://doi.org/10.1007/s10548-018-0645-8

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Neurologie

23.04.2024 | Demenz | Nachrichten

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Spatio-temporal Reconstruction of Neural Sources Using Indirect Dominant Mode Rejection

Abstract

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Hustenstiller lindert Agitation bei Alzheimer

Update Neurologie

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 4/2018

Movement-Related Somatosensory Activity Is Altered in Patients with Multiple Sclerosis

MRI Verification of a 10–20 Targeting Protocol Used During Transcranial Magnetic Stimulation Sessions for Tinnitus

Alterations in Normal Aging Revealed by Cortical Brain Network Constructed Using IBASPM

An Eye Fixation-Related Potential Study in Two Reading Tasks: Reading to Memorize and Reading to Make a Decision

Visualizing the Human Subcortex Using Ultra-high Field Magnetic Resonance Imaging

Movement Kinematics Dynamically Modulates the Rolandic ~ 20-Hz Rhythm During Goal-Directed Executed and Observed Hand Actions

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Hustenstiller lindert Agitation bei Alzheimer

Update Neurologie