Fusion of EEG and fMRI by Parallel Group ICA

Simultaneous EEG and fMRI : Recording, Analysis, and Application

Volumn 9780195372731, Issue , 2010, Pages

  Calhoun, Vince D ^a   Eichele, Tom ^b,c  

^a UNIVERSITY OF NEW MEXICO   (United States)

^b UNIVERSITY OF BERGEN   (Norway)

^c MIND RESEARCH NETWORK   (United States)

Author keywords

Electroencephalography; fMRI; Functional magnetic resonance; Independent component analysis

Indexed keywords

BRAIN MAPPING; DATA FUSION; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; MAGNETIC RESONANCE IMAGING;

BRAIN-IMAGING DATA; FMRI; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSES (ICA); SPATIO-TEMPORAL STRUCTURES;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84920752256     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/acprof:oso/9780195372731.003.0011     Document Type: Chapter

References (63)

1. Adali T, Novey M, Cardoso JF (2008) Complex ICA using nonlinear functions. IEEE Trans Signal Processing 56:4536-4544.
2. Akaike H (1974) A new look at statistical model identification. IEEE Transon Automatic Control 19:716-723.
3. Arndt C, Loffeld, O (1996) Information gained by data fusion. Proc. SPIE 2784:32-40.
4. Bach F, Jordan M (2002) Kernel independent component analysis. J Mach Learn Res 3:1-48.
5. Beckmann CF, Smith SM (2004) Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE T Med Imaging 23:137-152.
6. Beckmann CF, Smith SM (2005) Tensorial extensions of independent component analysis for multisubject FMRI analysis. NeuroImage 25:294-311.
7. Bell AJ, Sejnowski TJ (1995) An information maximisation approach to blind separation and blind deconvolution. Neural Comput 7:1129-1159.
8. Boscolo RH, Pan H, Roychowdhury VP (2001) Non-parametric ICA. In: Proceedings of the Third International Symposium on Independent Component Analysis and Blind Signal Separation. San Diego, CA.
9. Calhoun VD, Adali T (2006) "Unmixing" functional magnetic resonance imaging with independent component analysis. IEEE Eng Med Biol 25:79-90.
10. Calhoun VD, Adali T, Pearlson GD, Pekar JJ (2001a) Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. HumBrain Map 13:43-53.
11. Calhoun VD, Adali T, Pearlson GD, Pekar JJ (2001b) A method for making group inferences from functional MRI data using independent component analysis. HumBrain Map 14:140-151.
12. Calhoun VD, Adali T, McGinty V, Pekar JJ, Watson T, Pearlson GD (2001c) fMRI activation in a visual-perception task: network of areas detected using the general linear model and independent component analysis. NeuroImage 14:1080-1088.
13. Calhoun VD, Pekar JJ, McGinty VB, Adali T, Watson TD, Pearlson GD (2002) Different activation dynamics in multiple neural systems during simulated driving. HumBrain Map 16:158-167.
14. Calhoun VD, Adali T, Pekar JJ (2004a) A method for testing conjunctive and subtractive hypotheses on group fMRI data using independent component analysis. MagResImag 22:1181-1191.
15. Calhoun VD, Pekar JJ, Pearlson GD (2004b) Alcohol intoxication effects on simulated driving: exploring alcohol-dose effects on brain activation using functional MRI. Neuropsychopharmacology 29:2097-2107.
16. Calhoun VD, Carvalho K, Astur RS, Pearlson GD (2005) Using virtual reality to study alcohol intoxication effects on the neural correlates of simulated driving. Appl Psychophys Biof 30:285-306.
17. Calhoun VD, Pearlson GD, Kiehl KA (2006a) Neuronal chronometry of target detection: fusion of hemodynamic and event-related potential data. NeuroImage 30:544-553.
18. Calhoun VD, Adali T, Kiehl KA, Astur RS, Pekar JJ, Pearlson GD (2006b) A method for multi-task fMRI data fusion applied to schizophrenia. Hum Brain Mapp 27:598-610.
19. Calhoun VD, Adali T, Giuliani N, Pekar JJ, Pearlson GD, Kiehl KA (2006c) A method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data. Hum Brain Mapp 27:47-62.
20. Calhoun VD, Kiehl KA, Pearlson GD (2008a) Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks. Hum Brain Mapp 29:828-838.
21. Calhoun VD, Pearlson GD, Maciejewski P, Kiehl KA (2008b) Temporal lobe and "default" hemodynamic brain modes discriminate between schizophrenia and bipolar disorder. Hum Brain Mapp 29:1265-1275.
22. Cardoso JF (1989) Source separation using higher order moments. In:Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol 4, pp 2109-2112. Glasgow, Scotland.
23. Cardoso JF, Souloumiac A (1993) Blind beamforming for non gaussian signals. IEE-Proceeding-F 140:362-370.
24. Celone KA, Calhoun VD, Dickerson BC, Atri A, Chua EF, Miller S, DePeau K, Rentz DM, Selkoe D, Albert MS, Sperling RA (2006) Alterations in memory networks in mild cognitive impairment and Alzheimer's disease: an independent component analysis. J Neurosci 26:10222-10231.
25. Choi S, Cichocki A, Amari SI (2000) Flexible independent component analysis. J VLSI Signal Proc 26:25-38.
26. Correa N, Adali T, Li Y, Calhoun VD (2008) Examining associations between fMRI and EEG data using canonical correlation analysis. In: Proc ISBI, pp 1251-1254.
27. Dawy A, Sarkis M, Hagenauer J, Mueller J (2005) A novel gene mapping algorithm based on independent component analysis. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp 381-384. Philadelphia, PA.
28. Eichele T, Specht K, Moosmann M, Jongsma ML, Quiroga RQ, Nordby H, Hugdahl K (2005) Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional MRI. Proc Natl Acad Sci U S A 102:17798-17803.
29. Eichele T, Debener S, Calhoun VD, Specht K, Engel AK, Hugdahl K, von Cramon DY, Ullsperger M (2008a) Prediction of human errors by maladaptive changes in event-related brain networks. Proc Natl Acad Sci U S A 105:6173-6178.
30. Eichele T, Calhoun VD, Moosmann M, Specht K, Jongsma M, Quiroga R, Nordby H, Hugdahl K (2008b) Unmixing concurrent EEG-fMRI with parallel independent component analysis. Int J Psych 67:222-234.
31. Esposito F, Scarabino T, Hyvarinen A, Himberg J, Formisano E, Comani S, Tedeschi G, Goebel R, Seifritz E, Di SF (2005) Independent component analysis of fMRI group studies by self-organizing clustering. Neuroimage 25:193-205.
32. Friston K, Poline JP, Strother S, Holmes A, Frith CD, Frackowiak RS (1996) A Multivariate analysis of PET activation studies. Hum Brain Mapp 4:140-151.
33. Garrity A, Pearlson GD, McKiernan K, Lloyd D, Kiehl KA, Calhoun VD (2007) Aberrant "default mode" functional connectivity in schizophrenia. Am J Psych 164:450-457.
34. Guo Y, Giuseppe P (2008) A unified framework for group independent component analysis for multi-subject fMRI data. NeuroImage 42:1078-1093.
35. Hong B, Pearlson GD, Calhoun VD (2005) Source-Density driven independent component analysis approach for fMRI data. Hum Brain Mapp 25:297-307.
36. Horwitz B, Poeppel D (2002) How can EEG/MEG and fMRI/PET data be combined? Hum Brain Mapp 17:1-3.
37. Husain FT, Nandipati G, Braun AR, Cohen LG, Tagamets MA, Horwitz B (2002) Simulating transcranial magnetic stimulation during PET with a largescale neural network model of the prefrontal cortex and the visual system. NeuroImage 15:58-73.
38. Hyvarinen A, Oja E (1997) A fast fixed-point algorithm for independent component analysis. Neural Comput 9:1483-1492.
39. Jafri MJ, Pearlson GD, Stevens M, Calhoun VD (2008) A method for functional network connectivity among spatially independent resting-state components in schizophrenia. Neuroimage 39:1666-1681.
40. Jung A (2001) An introduction to a new data analysis tool: Independent Component Analysis. In: Proceedings of Workshop GK "Nonlinearity." Regensburg, Germany.
41. Lee SI, Batzoglou S (2003) Application of independent component analysis to microarrays. Genome Biol 4:R76.
42. Lee TW, Girolami M, Sejnowski TJ (1999) Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural Comput 11:417-441.
43. Li Y, Adali T, Calhoun VD (2007) Estimating the number of independent components for fMRI data. Hum Brain Mapp 28:1251-1266.
44. Liu J, Calhoun VD (2006) A novel approach to analyzing fMRI and SNP data via parallel independent component analysis. In: Proc SPIE 6511:1301-1311.
45. Liu J, Calhoun VD (2007) Parallel independent component analysis for multimodal analysis: Application to fMRI and EEG Data. In: Proc ISBI, pp 1028-1031.
46. Liu J, Pearlson GD, Windemuth A, Ruano G, Perrone-Bizzozero NI, Calhoun VD (2009) Combining fMRI and SNP data to investigate connections between brain function and genetics using parallel ICA. Hum Brain Mapp 30:241-255.
47. Lukic AS, Wernick MN, Hansen LK, Strother SC (2002) An ICA algorithm for analyzing multiple data sets. In: Proceedings of International Conference on Image Processing (ICIP), pp 821-824. Rochester, NY.
48. McIntosh AR, Bookstein FL, Haxby JV, Grady CL (1996) Spatial pattern analysis of functional brain images using partial least squares. NeuroImage 3:143-157.
49. McKeown MJ, Makeig S, Brown GG, Jung TP, Kindermann SS, Bell AJ, Sejnowski TJ (1998) Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp 6:160-188.
50. McKeown MJ, Hansen LK, Sejnowsk TJ (2003) Independent component analysis of functional MRI: what is signal and what is noise? Curr Opin Neurobiol 13:620-629.
51. Meda S, Calhoun VD, Astur R, Turner B, Ruopp K, Pearlson GD (2009) Alcohol dose effects on brain circuits during simulated driving: An fMRI study. Hum Brain Mapp 30:1257-1270.
52. Moosmann M, Eichele T, Nordby H, Hugdahl K, Calhoun VD (2008) Joint independent component analysis for simultaneous EEG-fMRI: principle and simulation. Int J Psych 67:212-221.
53. Petersen KS, Hansen LK, Kolenda T, Rostrup E, Strother SC (2000) On the independent components of functional neuroimages. In: Proceedings of the Third International Conference on Independent Component Analysis and Blind Source Separation, pp 615-620. Helsinki, Finland.
54. Rissanen J (1983) A universal prior for integers and estimation by minimum description length. Ann Stat 11:416-431.
55. Savopol F, Armenakis C (2002) Mergine of heterogeneous data for emergency mapping: data integration or data fusion? In: Proceedings of ISPRS, pp 615-620. Buenos Aires, Argentina.
56. Schmithorst VJ, Holland SK (2004) Comparison of three methods for generating group statistical inferences from independent component analysis of functional magnetic resonance imaging data. JMRI-J Magn Reson Im 19:365-368.
57. Seifritz E, Esposito F, Hennel F, Mustovic H, Neuhoff Jg, Bilecen D, Tedeschi G, Scheffler K, Salle FD (2002) Spatiotemporal pattern of neural processing in the human auditory cortex. Science 297 1706-1708.
58. Sorg C, Riedl V, Muhlau M, Calhoun VD, Eichele T, Laer L, Drzezga A, Forstl H, Kurz A, Zimmer C, Wohlschlager AM (2007) Selective changes of restingstate networks in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci U S A 104:18760-18765.
59. Stevens M, Kiehl KA, Pearlson GD, Calhoun VD (2007) Functional neural circuits for mental timekeeping. Hum Brain Mapp 28:394-408.
60. Stone JV, Porrill J, Buchel C, Friston K (1999) Spatial, temporal, and spatiotemporal independent component analysis of fMRI data. In:Proceedings of Leeds Statistical Research Workshop, pp 1-4. Leed, UK.
61. Svensen M, Kruggel F, Benali H (2002) ICA of fMRI group study data. NeuroImage 16:551-563.
62. Tichavsky P, Koldovski Z, Oja E (2006) Efficient variant of algorithm FastICA for independent component analysis attaining the Cramer-Rao lower bound. IEEE Trans Neural Netw 17:1265-1277.
63. Vlassis N, Motomura Y (2001) Efficient source adaptivity in independent in independent component analysis. IEEE Trans Neural Netw 12:559-566.