Real-time decoding of brain responses to visuospatial attention using 7t fMRi

PLoS ONE

Volumn 6, Issue 11, 2011, Pages

  Andersson, Patrik ^a   Pluim, Josien P W ^a   Siero, Jeroen C W ^b   Klein, Stefan ^c   Viergever, Max A ^a   Ramsey, Nick F ^b  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^c ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ATTENTION; BRAIN COMPUTER INTERFACE; BRAIN FUNCTION; CONTROLLED STUDY; DEPTH PERCEPTION; ELECTROENCEPHALOGRAM; EYE FIXATION; EYE MOVEMENT; FEEDBACK SYSTEM; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GAZE; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; NEUROIMAGING; NORMAL HUMAN; SIGNAL NOISE RATIO; VISUAL STIMULATION; VISUAL SYSTEM FUNCTION; VISUAL SYSTEM PARAMETERS; BEHAVIOR; BRAIN; ELECTRODE; EPILEPSY; FEASIBILITY STUDY; MALE; NEUROSURGERY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; TIME; VISION; VISUAL CORTEX;

ADULT; ATTENTION; BRAIN; ELECTRODES, IMPLANTED; EPILEPSY; EYE MOVEMENTS; FEASIBILITY STUDIES; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NEUROSURGERY; SPATIAL BEHAVIOR; TIME FACTORS; VISUAL CORTEX; VISUAL PERCEPTION; YOUNG ADULT;

EID: 81055145773     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0027638     Document Type: Article

References (63)

1. Smith E, Delargy M, (2005) Locked-in syndrome. Br Med J 330: 406-409.
2. Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM, (2002) Brain-computer interfaces for communication and control. Clin Neurophysiol 113: 767-791.
3. Birbaumer N, Cohen LG, (2007) Brain-computer interfaces: communication and restoration of movement in paralysis. J Physiol 579: 621-36.
4. Serruya MD, Hatsopoulos NG, Paninski L, Fellows MR, Donoghue JP, (2002) Brain-machine interface: Instant neural control of a movement signal. Nature 416: 141-142.
5. Taylor DM, Tillery SIH, Schwartz AB, (2002) Direct cortical control of 3D neuroprosthetic devices. Science 296: 1829-1832.
6. Nicolelis MAL, (2003) Brain-machine interfaces to restore motor function and probe neural circuits. Nat Rev Neurosci 4: 417-422.
7. Velliste M, Perel S, Spalding MC, Whitford AS, Schwartz AB, (2008) Cortical control of a prosthetic arm for self-feeding. Nature 453: 1098-1101.
8. Graimann B, Huggins JE, Levine SP, Pfurtscheller G, (2004) Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis. IEEE Trans on Biomed Eng 51: 954-962.
9. Leuthardt EC, Schalk G, Wolpaw JR, Ojemann JG, Moran DW, (2004) A brain-computer interface using electrocorticographic signals in humans. J Neural Eng 1: 63-71.
10. Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, et al. (2006) Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442: 164-171.
11. Sanchez JC, Gunduz A, Carney PR, Principe JC, (2008) Extraction and localization of mesoscopic motor control signals for human ECoG neuroprosthetics. J Neurosci Meth 167: 63-81.
12. Shenoy P, Miller KJ, Ojemann JG, Rao RP, (2008) Generalized features for electrocorticographic BCIs. IEEE Trans Biomed Eng 55: 273-80.
13. Vansteensel MJ, Hermes D, Aarnoutse EJ, Bleichner MG, Schalk G, et al. (2010) Brain-computer interfacing based on cognitive control. Ann Neurol 67: 809-816.
14. Farwell LA, Donchin E, (1988) Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol 70: 510-523.
15. Sellers EW, Donchin E, (2006) A P300-based brain-computer interface: initial tests by ALS patients. Clin Neurophysiol 117: 538-48.
16. Hoffmann U, Vesin JM, Ebrahimi T, Diserens K, (2008) An efficient P300-based brain-computer interface for disabled subjects. J Neurosci Meth 167: 115-125.
17. Sutter E, (1992) The brain response interface: communication through visually-induced electrical brain responses. J Microcomput Appl 15: 31-45.
18. Kelly SP, Lalor EC, Finucane C, McDarby G, Reilly RB, (2005) Visual spatial attention control in an independent brain-computer interface. IEEE Trans on Biomed Eng 52: 1588-1596.
19. Lopez-Gordo MA, Prieto A, Pelayo F, Morillas C, (2011) Customized stimulation enhances performance of independent binary SSVEP-BCIs. Clin Neurophysiol 122: 128-133.
20. Kalcher J, Flotzinger D, Neuper C, Glly S, Pfurtscheller G, (1996) Graz brain-computer interface II: towards communication between humans and computers based on online classification of three different EEG patterns. Med Biol Eng Comput 34: 382-388.
21. Guger C, Edlinger G, Harkam W, Niedermayer I, Pfurtscheller G, (2003) How many people are able to operate an EEG-based brain-computer interface (BCI)? IEEE Trans Neural Syst Rehabil Eng 11: 145-147.
22. Guger C, Daban S, Sellers E, Holzner C, Krausz G, et al. (2009) How many people are able to control a P300-based brain-computer interface (BCI)? Neurosci Lett 462: 94-98.
23. Blankertz B, Sannelli C, Halder S, Hammer EM, Kübler A, et al. (2010) Neurophysiological predictor of SMR-based BCI performance. Neuroimage 51: 1303-1309.
24. Allison BZ, Neuper C, (2010) Could anyone use a BCI? In: Tan DS, Nijholt A, editors, Brain- Computer Interfaces, Springer London, volume 0 of Human-Computer Interaction Series. pp. 35- 54.
25. Allison B, Luth T, Valbuena D, Teymourian A, Volosyak I, et al. (2010) BCI demographics: How many (and what kinds of) people can use an SSVEP BCI? IEEE Trans Neural Syst Rehabil Eng 18: 107-116.
26. Kübler A, Birbaumer N, (2008) Braincomputer interfaces and communication in paralysis: Extinction of goal directed thinking in completely paralysed patients? Clin Neurophysiol 119: 2658-2666.
27. Knudsen EI, (2007) Fundamental components of attention. Annu Rev Neurosci 30: 57-78.
28. Posner MI, (1980) Orienting of attention. Q J Exp Psychol 32: 3-25.
29. Kastner S, De Weerd P, Desimone R, Ungerleider LG, (1998) Mechanisms of directed attention in the human extrastriate cortex as revealed by functional MRI. Science 282: 108.
30. Brefczynski JA, DeYoe EA, (1999) A physiological correlate of the 'spotlight' of visual attention. Nat Neurosci 2: 370-374.
31. Müller NG, Ebeling D, (2008) Attention-modulated activity in visual cortex- more than a simple 'spotlight'. Neuroimage 40: 818-827.
32. Datta R, DeYoe EA, (2009) I know where you are secretly attending! the topography of human visual attention revealed with fMRI. Vision Res 49: 1037-1044.
33. Brefczynski-Lewis JA, Datta R, Lewis JW, DeYoe EA, (2009) The topography of visuospatial attention as revealed by a novel visual field mapping technique. J Cognitive Neurosci 21: 1447- 1460.
34. van Gerven M, Bahramisharif A, Heskes T, Jensen O, (2009) Selecting features for BCI control based on a covert spatial attention paradigm. Neural Networks 22: 1271-1277.
35. Kelly SP, Lalor E, Reilly RB, Foxe JJ, (2005) Independent brain computer interface control using visual spatial attention-dependent modulations of parieto-occipital alpha. 2nd Int IEEE EMBS Conf on Neural Eng pp. 667-670.
36. Weiskopf N, Veit R, Erb M, Mathiak K, Grodd W, et al. (2003) Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data. Neuroimage 19: 577-86.
37. Yoo SS, Fairneny T, Chen NK, Choo SE, Panych LP, et al. (2004) Brain-computer interface using fMRI: spatial navigation by thoughts. Neuroreport 15: 1591-1595.
38. deCharms RC, Maeda F, Glover GH, Ludlow D, Pauly JM, et al. (2005) Control over brain activation and pain learned by using real-time functional mri. Proc Natl Acad Sci USA 102: 18626-31.
39. Moench T, Hollmann M, Grzeschik R, Mueller C, Luetzkendorf R, et al. (2008) Real-time classi- fication of activated brain areas for fMRI-based human-brain-interfaces. volume 6916 SPIE: 69161R-10.
40. Sitaram R, Weiskopf N, Caria A, Veit R, Erb M, et al. (2008) fMRI brain-computer interfaces. IEEE Signal Proc Mag 25: 95-106.
41. Lachaux JP, Fonlupt P, Kahane P, Minotti L, Hoffmann D, et al. (2007) Relationship between taskrelated gamma oscillations and BOLD signal: New insights from combined fMRI and intracranial EEG. Hum Brain Mapp 28: 1368-1375.
42. He BJ, Snyder AZ, Zempel JM, Smyth MD, Raichle ME, (2008) Electrophysiological correlates of the brain's intrinsic large-scale functional architecture. Proc Natl Acad Sci USA 105: 16039-16044.
43. Hermes D, Miller KJ, Vansteensel MJ, Aarnoutse EJ, Leijten FSS, et al. Neurophysiologic correlates of fMRI in human motor cortex. Hum Brain Map (In Press).
44. deCharms RC, (2008) Applications of real-time fMRI. Nat Rev Neurosci 9: 720-729.
45. van der Zwaag W, Francis S, Head K, Peters A, Gowland P, et al. (2009) fMRI at 1.5, 3 and 7 T: Characterising BOLD signal changes. Neuroimage 47: 1425-1434.
46. Klein S, Staring M, Pluim JPW, (2007) Evaluation of optimization methods for nonrigid medical image registration using mutual information and b-splines. IEEE Trans Image Process 16: 2879-2890.
47. Bagarinao E, Matsuo K, Nakai T, Sato S, (2003) Estimation of general linear model coefficients for real-time application. Neuroimage 19: 422-429.
48. Silver MA, Ress D, Heeger DJ, (2007) Neural correlates of sustained spatial attention in human early visual cortex. J Neurophysiol 97: 229-237.
49. Schwartz S, Vuilleumier P, Hutton C, Maravita A, Dolan RJ, et al. (2005) Attentional load and sensory competition in human vision: Modulation of fMRI responses by load at fixation during task-irrelevant stimulation in the peripheral visual field. Cerebral Cortex 15: 770-786.
50. Müller NG, Mollenhauer M, Rösler A, Kleinschmidt A, (2005) The attentional field has a mexican hat distribution. Vision Res 45: 1129-1137.
51. Smith AM, Lewis BK, Ruttimann UE, Ye FQ, Sinnwell TM, et al. (1999) Investigation of low frequency drift in fMRI signal. Neuroimage 9: 526-533.
52. Tarvainen MP, Ranta-aho PO, Karjalainen PA, (2002) An advanced detrending method with application to HRV analysis. IEEE Trans Biomed Eng 49: 172-175.
53. Ramsey NF, van de Heuvel MP, Kho KH, Leijten FSS, (2006) Towards human BCI applications based on cognitive brain systems: an investigation of neural signals recorded from the dorsolateral prefrontal cortex. IEEE Trans Neural Syst Rehabil Eng 14: 214-217.
54. Wolpaw JR, Ramoser H, McFarland DJ, Pfurtscheller G, (1998) EEG-based communication: improved accuracy by response verification. IEEE Trans Rehabil Eng 6: 326-333.
55. Somers DC, Dale AM, Seiffert AE, Tootell RBH, (1999) Functional MRI reveals spatially specific attentional modulation in human primary visual cortex. Proc Natl Acad Sci USA 96: 1663-1668.
56. Pessoa L, Kastner S, Ungerleider LG, (2003) Neuroimaging studies of attention: From modulation of sensory processing to top-down control. J Neurosci 23: 3990-3998.
57. Wandell BA, Dumoulin SO, Brewer AA, (2007) Visual field maps in human cortex. Neuron 56: 366-383.
58. Heinemann L, Kleinschmidt A, Müller NG, (2009) Exploring bold changes during spatial attention in non-stimulated visual cortex. PLoS ONE 4: e5560.
59. Dumoulin SO, Bittar RG, Kabani NJ, Baker CL, Le Goualher G, et al. (2000) A new anatomical landmark for reliable identification of human area V5/MT: a quantitative analysis of sulcal patterning. Cereb Cortex 10: 454-463.
60. Dougherty RF, Koch VM, Brewer AA, Fischer B, Modersitzki J, et al. (2003) Visual field representations and locations of visual areas V1/2/3 in human visual cortex. J Vis 3.
61. Lotte F, Congedo M, Lcuyer A, Lamarche F, Arnaldi B, (2007) A review of classification algorithms for EEG-based braincomputer interfaces. J Neural Eng 4: R1.
62. Allison BZ, Brunner C, Kaiser V, Müller-Putz GR, Neuper C, et al. (2010) Toward a hybrid braincomputer interface based on imagined movement and visual attention. J Neural Eng 7: 026007.
63. Popescu F, Blankertz B, Müller KR, (2008) Computational challenges for noninvasive brain computer interfaces. IEEE Intell Syst 23: 78-79.