Assessment of Subcortical Source Localization Using Deep Brain Activity Imaging Model with Minimum Norm Operators: A MEG Study

PLoS ONE

Volumn 8, Issue 3, 2013, Pages

  Attal, Yohan ^a,b   Schwartz, Denis ^a,b,c  

^a INSTITUT DU CERVEAU ET DE LA MOELLE ÉPINIÈRE   (France)

^b INSERM   (France)

^c Centre de NeuroImagerie de Recherche CENIR   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; AMPLITUDE MODULATION; AMYGDALOID NUCLEUS; ANATOMIC MODEL; ARTICLE; BRAIN CORTEX; BRAIN ELECTROPHYSIOLOGY; BRAIN FUNCTION; FEMALE; GENERATOR; HIPPOCAMPUS; HUMAN; HUMAN EXPERIMENT; MAGNETOENCEPHALOGRAPHY; MALE; MONTE CARLO METHOD; NEOCORTEX; NORMAL HUMAN; SUBCORTEX; THALAMUS;

ADULT; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGICAL PROCESSES; FEMALE; HIPPOCAMPUS; HUMANS; MAGNETOENCEPHALOGRAPHY; MALE; MODELS, NEUROLOGICAL; MONTE CARLO METHOD; SENSITIVITY AND SPECIFICITY;

EID: 84875142916     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0059856     Document Type: Article

References (63)

1. Baillet S, Mosher JC, Leahy RM, (2001) Electromagnetic brain mapping. Signal Processing Magazine, IEEE 18: 14-30.
2. Hillebrand A, Barnes GR, (2002) A quantitative assessment of the sensitivity of whole-head MEG to activity in the adult human cortex. NeuroImage 16: 638-650.
3. Guy C, Walker S, Alarcon G, Binnie C, Chesterman P, et al. (1993) MEG and EEG in epilepsy: is there a difference? Physiol Meas 14(Suppl. 4A): A99-A102.
4. Tesche C, (1996) Non-invasive imaging of neuronal population dynamics in human thalamus. Brain research 729: 253-258.
5. Mikuni N, Nagamine T, Ikeda A, Terada K, Taki W, et al. (1997) Simultaneous Recording of Epileptiform Discharges by MEG and Subdural Electrodes in Temporal Lobe Epilepsy. NeuroImage 5: 298-306.
6. Stephen JM, Ranken DM, Aine CJ, Weisend MP, Shih JJ, (2005) Differentiability of simulated MEG hippocampal, medial temporal and neocortical temporal epileptic spike activity. Journal of clinical neurophysiology 22: 388-401.
7. Riggs L, Moses SN, Bardouille T, Herdman AT, Ross B, et al. (2009) A complementary analytic approach to examining medial temporal lobe sources using magnetoencephalography. NeuroImage 45: 627-642.
8. Gross J, Timmermann L, Kujala J, Dirks M, Schmitz F, et al. (2002) The neural basis of intermittent motor control in humans. Proceedings of the National Academy of Sciences of the United States of America 99: 2299.
9. Jerbi K, Lachaux JP, (2007) others (2007) Coherent neural representation of hand speed in humans revealed by MEG imaging. Proceedings of the National Academy of Sciences 104: 7676.
10. Moses SN, Houck JM, Martin T, Hanlon FM, Ryan JD, et al. (2007) Dynamic neural activity recorded from human amygdala during fear conditioning using magnetoencephalography. Brain research bulletin 71: 452-460.
11. Dumas T, Attal Y, Dubal S, Jouvent R, George N, (2011) Detection of activity from the amygdala with magnetoencephalography. IRBM 32: 42-47.
12. Litvak V, Jha A, Eusebio A, Oostenveld R, Foltynie T, et al. (2011) Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson's disease. Brain 134: 359-374.
13. Attal Y, Maess B, Friederici A, (2012) Head models and dynamic causal modeling of subcortical activity using magnetoencephalographic/electroencephalographic data. Reviews in the Neurosciences 23(1): 85-95.
14. Mills T, Lalancette M, Moses SN, Taylor MJ, Quraan MA (2012) Techniques for Detection and Localization of Weak Hippocampal and Medial Frontal Sources Using Beamformers in MEG. Brain Topography.
15. Quraan MA, Moses SN, Hung Y, Mills T, Taylor MJ, (2011) Detection and localization of hippocampal activity using beamformers with MEG: A detailed investigation using simulations and empirical data. Human brain mapping 32: 812-827.
16. Attal Y, Bhattacharjee M, Yelnik J, Cottereau B, Lefèvre J, et al. (2009) Modelling and detecting deep brain activity with MEG and EEG. IRBM 30: 133-138.
17. Hämäläinen MS, Ilmoniemi RJ (1984) Interpreting measured magnetic fields of the brain: estimates of current distributions. Helsinki University of Technology.
18. Fuchs M, Wagner M, Köhler T, Wischmann H-A, (1999) Linear and Nonlinear Current Density Reconstructions. Journal of clinical neurophysiology 16: 267-295.
19. Lin F-H, Witzel T, Ahlfors SP, Stufflebeam SM, Belliveau JW, et al. (2006) Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates. NeuroImage 31: 160-171.
20. Dale AM, Liu AK, Fischl BR, Buckner RL, Belliveau JW, et al. (2000) Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity. Neuron 26: 55-67.
21. Pascual-Marqui R, (2002) Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol 24: 5-12.
22. Hauk O, Wakeman DG, Henson R, (2011) Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics. NeuroImage 54: 1966-1974.
23. Molins A, Stufflebeam SM, Brown EN, Hämäläinen MS, (2008) Quantification of the benefit from integrating MEG and EEG data in minimum ℓ2-norm estimation. NeuroImage 42: 1069-1077.
24. Menke W (1989) Geophysical Data Analysis: Discrete Inverse Theory- William Menke. Academic Press, Inc., San Diego.
25. Grave de Peralta Menendez R, Hauk O, Gonzalez Andino S, Vogt H, Michel C, (1997) Linear inverse solutions with optimal resolution kernels applied to electromagnetic tomography. Human brain mapping 5: 454-467.
26. Liu AK, Belliveau JW, Dale AM, (1998) Spatiotemporal imaging of human brain activity using functional MRI constrained magnetoencephalography data: Monte Carlo simulations. Proceedings of the National Academy of Sciences of the United States of America 95: 8945.
27. Liu AK, Dale AM, Belliveau JW, (2002) Monte Carlo simulation studies of EEG and MEG localization accuracy. Human brain mapping 16: 47-62.
28. Jerbi K, Baillet S, Mosher JC, Nolte G, Garnero L, et al. (2004) Localization of realistic cortical activity in MEG using current multipoles. NeuroImage 22: 779-793.
29. Chupin M, Mukuna-Bantumbakulu AR, Hasboun D, Bardinet E, Baillet S, et al. (2007) Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer's disease. NeuroImage 34: 996-1019.
30. Yelnik J, Bardinet E, Dormont D, Malandain G, Ourselin S, et al. (2007) A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data. NeuroImage 34: 618-638.
31. Rivière D, Geffroy D, Denghien I, Souedet N, Cointepas Y, (2009) BrainVISA: an extensible software environment for sharing multimodal neuroimaging data and processing tools. NeuroImage 47: S163.
32. De Nó L, (1947) Action potential of the motoneurons of the hypoglossus nucleus. Journal of Cellular and Comparative Physiology 29: 207-287.
33. Murakami S, Okada Y, (2006) Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals. The Journal of physiology 575: 925.
34. Yelnik J, Percheron G, Franccois C, (1984) A Golgi analysis of the primate globus pallidus. II. Quantitative morphology and spatial orientation of dendritic arborizations. The Journal of Comparative Neurology 227: 200-213.
35. Yelnik J, (2006) Anatomie structurale et fonctionnelle des ganglions de la base. Encephale 32: 3-9.
36. Yelnik J, Francis C, Percheron G, Tandéa D, (1991) Morphological taxonomy of the neurons of the primate striatum. The Journal of Comparative Neurology 313: 273-294.
37. LeDoux J, (2007) The amygdala. Current Biology 17: R868-R874.
38. Whalen PJ, Phelps EA (2009) The human amygdala. The Guilford Press.
39. Duvernoy HM (2005) The human hippocampus: functional anatomy, vascularization, and serial sections with MRI. Springer Verlag.
40. Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM, (2011) Brainstorm: A User-Friendly Application for MEG/EEG Analysis. Computational Intelligence and Neuroscience 2011: 1-13.
41. Huang M, Mosher JC, Leahy R, (1999) A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG. Physics in Medicine and Biology 44: 423.
42. Ramírez RR, Wipf D, Baillet S (2010) Neuroelectromagnetic Source Imaging of Brain Dynamics. Chaovalitwongse W, Pardalos PM, Xanthopoulos P, editors Computational Neuroscience. Springer New York. 1432 p.
43. Berger H, (1929) Über das Elektrenkephalogramm des Menschen. Archiv f Psychiatrie 87: 527-570.
44. Shaw J (2003) The Brain's Alpha Rhythms and the Mind SHAW J.C.: Librairie Lavoisier. Clinical Neurophysiology.
45. Fisch B (2003) Fisch and Spehlmann's EEG primer: Basic Principles of Digital and Analog EEG.
46. Barry R, Clarke A, Johnstone S, (2007) EEG differences between eyes-closed and eyes-open resting conditions. Clin Neurophysiol 118: 2765-2773.
47. da Silva FH, van Lierop TH, Schrijer CF, van Leeuwen WS, (1973) Organization of thalamic and cortical alpha rhythms: spectra and coherences. Electroencephalography and clinical neurophysiology 35: 627-639.
48. Mantini D, Perrucci MG, Del Gratta C, Romani GL, Corbetta M, (2007) Electrophysiological signatures of resting state networks in the human brain. Proceedings of the National Academy of Sciences 104: 13170-13175.
49. Ribary U, Ioannides A, Singh K, Hasson R, Bolton J, et al. (1991) Magnetic field tomography of coherent thalamocortical 40-Hz oscillations in humans. Proceedings of the National Academy of Sciences of the United States of America 88: 11037.
50. Papadelis C, Leonardelli E, Staudt M, Braun C, (2012) Can magnetoencephalography track the afferent information flow along white matter thalamo-cortical fibers? NeuroImage 60: 1092-1105.
51. Benjamini Y, Yekutieli D (2001) The control of the false discovery rate in multiple testing under dependency. Annals of statistics: 1165-1188.
52. Genovese CR, Lazar NA, Nichols T, (2002) Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate{star, open}. NeuroImage 15: 870-878.
53. David O, Maess B, Eckstein K, Friederici AD, (2011) Dynamic causal modeling of subcortical connectivity of language. Journal of Neuroscience 31: 2712-2717.
54. Parkkonen L, Fujiki N, Mäkelä JP, (2009) Sources of auditory brainstem responses revisited: Contribution by magnetoencephalography. Human brain mapping 30: 1772-1782.
55. Van Leemput K, Bakkour A, Benner T, Wiggins G, Wald LL, et al. (2009) Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI. Hippocampus 19: 549-557.
56. Yushkevich PA, Avants BB, Pluta J, Das S, Minkoff D, et al. (2009) A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T. NeuroImage. 44: 385-398.
57. Chupin M, Baillet S, Okada C, Hasboun D, Garnero L (2002) On the detection of hippocampus activity with MEG.
58. Okada Y, Papuashvili N, Xu C (1996) Maximum current dipole moment density as an important physiological constraint in MEG inverse solutions. International Conferance of Biomagnetism.
59. Okada YC, Wu J, Kyuhou S, (1997) Genesis of MEG signals in a mammalian CNS structure. Electroencephalography and clinical neurophysiology 103: 474-485.
60. Grova C, Daunizeau J, Lina JM, Bénar CG, Benali H, et al. (2006) Evaluation of EEG localization methods using realistic simulations of interictal spikes. NeuroImage 29: 734-753.
61. Baillet S, Mosher JC, Jerbi K, Leahy RM (2000) Hybrid MEG source characterization by cortical remapping and imaging of parametric source models: 709-712.
62. David O, Garnero L, (2002) Time-Coherent Expansion of MEG/EEG Cortical Sources. NeuroImage 17: 1277-1289.
63. Cottereau B, Jerbi K, Baillet S, (2007) Multiresolution imaging of MEG cortical sources using an explicit piecewise model. NeuroImage 38: 439-451.