Optimising beamformer regions of interest analysis

NeuroImage

Volumn 102, Issue P2, 2014, Pages 945-

  Oswal, Ashwini ^a,b   Litvak, Vladimir ^a   Brown, Peter ^b   Woolrich, Mark ^a,b,c   Barnes, Gareth ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b JOHN RADCLIFFE HOSPITAL   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Bayesian PCA; Beamforming; Regions of interest

Indexed keywords

ANATOMICAL VARIATION; ARTICLE; BAYES THEOREM; BEAMFORMING; BRAIN REGION; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MEDICAL PARAMETERS; NEUROANATOMY; NEUROIMAGING; PRINCIPAL COMPONENT ANALYSIS; PROCESS MODEL; PROCESS OPTIMIZATION; REGION OF INTEREST; ELECTROENCEPHALOGRAPHY; IMAGE PROCESSING; MAGNETOENCEPHALOGRAPHY; SIGNAL PROCESSING;

ELECTROENCEPHALOGRAPHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETOENCEPHALOGRAPHY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84908395299     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.08.019     Document Type: Article

References (28)

1. Baker A.P., Brookes M.J., Rezek I.A., Smith S.M., Behrens T., Probert Smith P.J., Woolrich M. Fast transient networks in spontaneous human brain activity. Elife 2014, 3:e01867.
2. Barnes G.R., Hillebrand A., Fawcett I.P., Singh K.D. Realistic spatial sampling for MEG beamformer images. Hum. Brain Mapp. 2004, 23:120-127.
3. Bishop C. Variational principal components. Artif Neural Networks 1999.
4. Brookes M.J., Vrba J., Robinson S.E., Stevenson C.M., Peters A.M., Barnes G.R., Hillebrand A., Morris P.G. Optimising experimental design for MEG beamformer imaging. NeuroImage 2008, 39:1788-1802.
5. Brookes M.J., O'Neill G.C., Hall E.L., Woolrich M.W., Baker A., Palazzo-Corner S., Robson S.E., Morris P.G., Barnes G.R. Measuring temporal, spectral and spatial changes in electrophysiological brain network connectivity. NeuroImage 2014, 91C:282-299.
6. Friston K., Harrison L., Daunizeau J., Kiebel S., Phillips C., Trujillo-Barreto N., Henson R., Flandin G., Mattout J. Multiple sparse priors for the M/EEG inverse problem. NeuroImage 2008, 39:1104-1120.
7. Gross J., Kujala J., Hamalainen M., Timmermann L., Schnitzler A., Salmelin R. Dynamic imaging of coherent sources: studying neural interactions in the human brain. Proc. Natl. Acad. Sci. U. S. A. 2001, 98:694-699.
8. Hillebrand A., Singh K.D., Holliday I.E., Furlong P.L., Barnes G.R. A new approach to neuroimaging with magnetoencephalography. Hum. Brain Mapp. 2005, 25:199-211.
9. Hirschmann J., Özkurt T.E., Butz M., Homburger M., Elben S., Hartmann C.J., Vesper J., Wojtecki L., Schnitzler A. Distinct oscillatory STN-cortical loops revealed by simultaneous MEG and local field potential recordings in patients with Parkinson's disease. NeuroImage 2011, 55:1159-1168.
10. Litvak V., Eusebio A., Jha A., Oostenveld R., Barnes G.R., Penny W.D., Zrinzo L., Hariz M.I., Limousin P., Friston K.J., Brown P. Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients. NeuroImage 2010, 50:1578-1588.
11. Litvak V., Jha A., Eusebio A., Oostenveld R., Foltynie T., Limousin P., Zrinzo L., Hariz M.I., Friston K., Brown P. Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson's disease. Brain 2011, 134:359-374.
12. Litvak V., Mattout J., Kiebel S., Phillips C., Henson R., Kilner J., Barnes G., Oostenveld R., Daunizeau J., Flandin G., Penny W., Friston K. EEG and MEG data analysis in SPM8. Comput. Intell. Neurosci. 2011, 2011:852961.
13. Litvak V., Eusebio A., Jha A., Oostenveld R., Barnes G., Foltynie T., Limousin P., Zrinzo L., Hariz M.I., Friston K., Brown P. Movement-related changes in local and long-range synchronization in Parkinson's disease revealed by simultaneous magnetoencephalography and intracranial recordings. J. Neurosci. 2012, 32:10541-10553.
14. Maris E. Statistical testing in electrophysiological studies. Psychophysiology 2012, 49:549-565.
15. Mattout J., Henson R.N., Friston K.J. Canonical source reconstruction for MEG. Comput. Intell. Neurosci. 2007, 67613.
16. Minka T. Automatic selection of dimensionality for PCA. MIT Media Lab Percept Comput Sect Tech Rep No 514 2008.
17. Mohseni H.R., Kringelbach M.L., Woolrich M.W., Baker A., Aziz T.Z., Probert-Smith P. Non-Gaussian probabilistic MEG source localisation based on kernel density estimation. NeuroImage 2013, 87:444-464.
18. Nolte G., Bai O., Wheaton L., Mari Z., Vorbach S., Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin. Neurophysiol. 2004, 115:2292-2307.
19. Oostenveld R., Fries P., Maris E., Schoffelen J.-M. FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci. 2011, 2011:156869.
20. Oswal A., Brown P., Litvak V. Movement related dynamics of subthalamo-cortical alpha connectivity in Parkinson's disease. NeuroImage 2013, 70:132-142.
21. Oswal A., Brown P., Litvak V. Synchronized neural oscillations and the pathophysiology of Parkinson's disease. Curr. Opin. Neurol. 2013, 26:662-670.
22. Ozkurt T.E., Sun M., Sclabassi R.J. Beamspace magnetoencephalographic signal decomposition in spherical harmonics domain. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2006, 1:5743-5746.
23. Pfurtscheller G., Lopes da Silva F.H. Event-related EEG/MEG synchronisation and desynchronisation: basic principles. Clin. Neurophysiol. 1999, 110:1842-1857.
24. Rodríguez-Rivera A., Baryshnikov B.V., Van Veen B.D., Wakai R.T. MEG and EEG source localization in beamspace. IEEE Trans. Biomed. Eng. 2006, 53:430-441.
25. Taulu S., Kajola M., Simola J. Suppression of interference and artifacts by the signal space separation method. Brain Topogr. 2004, 16:269-275.
26. Van Veen B.D., van Drongelen W., Yuchtman M., Suzuki A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans. Biomed. Eng. 1997, 44:867-880.
27. Woolrich M., Hunt L., Groves A., Barnes G. MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization. NeuroImage 2011, 57:1466-1479.
28. Woolrich M.W., Baker A., Luckhoo H., Mohseni H., Barnes G., Brookes M., Rezek I. Dynamic state allocation for MEG source reconstruction. NeuroImage 2013, 77:77-92.