166 related articles for article (PubMed ID: 22633918)
1. Validation of head movement correction and spatiotemporal signal space separation in magnetoencephalography.
Nenonen J; Nurminen J; Kičić D; Bikmullina R; Lioumis P; Jousmäki V; Taulu S; Parkkonen L; Putaala M; Kähkönen S
Clin Neurophysiol; 2012 Nov; 123(11):2180-91. PubMed ID: 22633918
[TBL] [Abstract][Full Text] [Related]
2. Artifact and head movement compensation in MEG.
Medvedovsky M; Taulu S; Bikmullina R; Paetau R
Neurol Neurophysiol Neurosci; 2007 Oct; ():4. PubMed ID: 18066426
[TBL] [Abstract][Full Text] [Related]
3. MEG recordings of DC fields using the signal space separation method (SSS).
Taulu S; Simola J; Kajola M
Neurol Clin Neurophysiol; 2004 Nov; 2004():35. PubMed ID: 16012635
[TBL] [Abstract][Full Text] [Related]
4. Feasibility of clinical magnetoencephalography (MEG) functional mapping in the presence of dental artefacts.
Hillebrand A; Fazio P; de Munck JC; van Dijk BW
Clin Neurophysiol; 2013 Jan; 124(1):107-13. PubMed ID: 22832101
[TBL] [Abstract][Full Text] [Related]
5. Signal space separation algorithm and its application on suppressing artifacts caused by vagus nerve stimulation for magnetoencephalography recordings.
Song T; Cui L; Gaa K; Feffer L; Taulu S; Lee RR; Huang M
J Clin Neurophysiol; 2009 Dec; 26(6):392-400. PubMed ID: 19952563
[TBL] [Abstract][Full Text] [Related]
6. Magnetoencephalography is feasible for infant assessment of auditory discrimination.
Cheour M; Imada T; Taulu S; Ahonen A; Salonen J; Kuhl P
Exp Neurol; 2004 Nov; 190 Suppl 1():S44-51. PubMed ID: 15498541
[TBL] [Abstract][Full Text] [Related]
7. Fine tuning the correlation limit of spatio-temporal signal space separation for magnetoencephalography.
Medvedovsky M; Taulu S; Bikmullina R; Ahonen A; Paetau R
J Neurosci Methods; 2009 Feb; 177(1):203-11. PubMed ID: 18996412
[TBL] [Abstract][Full Text] [Related]
8. A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts.
Fujiwara Y; Yamashita O; Kawawaki D; Doya K; Kawato M; Toyama K; Sato MA
Neuroimage; 2009 Apr; 45(2):393-409. PubMed ID: 19150653
[TBL] [Abstract][Full Text] [Related]
9. Implanted medical devices or other strong sources of interference are not barriers to magnetoencephalographic recordings in epilepsy patients.
Jin K; Alexopoulos AV; Mosher JC; Burgess RC
Clin Neurophysiol; 2013 Jul; 124(7):1283-9. PubMed ID: 23664658
[TBL] [Abstract][Full Text] [Related]
10. Measurements of auditory and somatically evoked magnetic fields and localization of their dipole sources.
Kuriki S; Isobe Y; Mizutani Y
Front Med Biol Eng; 1989; 1(2):107-18. PubMed ID: 2486751
[TBL] [Abstract][Full Text] [Related]
11. Reliable recording and analysis of MEG-based corticokinematic coherence in the presence of strong magnetic artifacts.
Bourguignon M; Whitmarsh S; Piitulainen H; Hari R; Jousmäki V; Lundqvist D
Clin Neurophysiol; 2016 Feb; 127(2):1460-1469. PubMed ID: 26337839
[TBL] [Abstract][Full Text] [Related]
12. Removal of magnetoencephalographic artifacts with temporal signal-space separation: demonstration with single-trial auditory-evoked responses.
Taulu S; Hari R
Hum Brain Mapp; 2009 May; 30(5):1524-34. PubMed ID: 18661502
[TBL] [Abstract][Full Text] [Related]
13. Detecting and correcting for head movements in neuromagnetic measurements.
Uutela K; Taulu S; Hämäläinen M
Neuroimage; 2001 Dec; 14(6):1424-31. PubMed ID: 11707098
[TBL] [Abstract][Full Text] [Related]
14. Event-related beamforming: a robust method for presurgical functional mapping using MEG.
Cheyne D; Bostan AC; Gaetz W; Pang EW
Clin Neurophysiol; 2007 Aug; 118(8):1691-704. PubMed ID: 17587643
[TBL] [Abstract][Full Text] [Related]
15. Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study.
Haumann NT; Parkkonen L; Kliuchko M; Vuust P; Brattico E
Comput Intell Neurosci; 2016; 2016():7489108. PubMed ID: 27524998
[TBL] [Abstract][Full Text] [Related]
16. [The clinical study of somatosensory evoked magnetic fields in patients with acute cerebral infarction by magnetoencephalography].
Lü PY; Sun ZY; Sun JL; Li L; Zhao BH; Wu J; Cui WZ; Li SM; Wu YJ
Zhonghua Yi Xue Za Zhi; 2004 Feb; 84(4):282-5. PubMed ID: 15059508
[TBL] [Abstract][Full Text] [Related]
17. Online and offline tools for head movement compensation in MEG.
Stolk A; Todorovic A; Schoffelen JM; Oostenveld R
Neuroimage; 2013 Mar; 68():39-48. PubMed ID: 23246857
[TBL] [Abstract][Full Text] [Related]
18. Virtual MEG Helmet: Computer Simulation of an Approach to Neuromagnetic Field Sampling.
Medvedovsky M; Nenonen J; Koptelova A; Butorina A; Paetau R; Mäkelä JP; Ahonen A; Simola J; Gazit T; Taulu S
IEEE J Biomed Health Inform; 2016 Mar; 20(2):539-48. PubMed ID: 25616085
[TBL] [Abstract][Full Text] [Related]
19. Spatio-temporal analysis of mixed AEF and SEF using dynamic singular value decomposition.
Kim BS; Uchikawa Y
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():6220-3. PubMed ID: 18003442
[TBL] [Abstract][Full Text] [Related]
20. A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data.
Zumer JM; Attias HT; Sekihara K; Nagarajan SS
Neuroimage; 2007 Aug; 37(1):102-15. PubMed ID: 17574444
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]