HRF estimation improves sensitivity of fMRI encoding and decoding models

Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013

Volumn , Issue , 2013, Pages 165-169

  Pedregosa, Fabian ^a,b,c   Eickenberg, Michael ^a,b   Thirion, Bertrand ^a,b   Gramfort, Alexandre ^c,d  

^a INRIA SACLAY   (France)

^b DIF   (France)

^c INRIA ROCQUENCOURT   (France)

^d INSTITUT TELECOM   (France)

Author keywords

BOLD; decoding; encoding; fMRI; GLM; hemodynamic; HRF

Indexed keywords

BLOOD OXYGEN LEVEL DEPENDENTS; BOLD; FMRI; FUNCTIONAL MAGNETIC RESONANCE IMAGES (FMRI); GLM; HEMODYNAMIC RESPONSE FUNCTIONS; HRF; LOW-RANK REPRESENTATIONS;

BRAIN; DECODING; ENCODING (SYMBOLS); HEMODYNAMICS; MAGNETIC RESONANCE IMAGING; NEUROIMAGING; PATTERN RECOGNITION; PRASEODYMIUM ALLOYS;

ESTIMATION;

EID: 84885232325     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PRNI.2013.50     Document Type: Conference Paper

References (11)

1. J.-D. Haynes and G. Rees, "Decoding mental states from brain activity in humans," Nature Reviews Neuroscience, vol. 7, no. 7, pp. 523-534, 2006
2. T. Naselaris, K. N. Kay, S. Nishimoto, and J. L. Gallant, "Encoding and decoding in fMRI," Neuroimage, vol. 56, no. 2, pp. 400-410, 2011
3. K. J. Friston, A. P. Holmes, K. J. Worsley, J.-P. Poline, C. D. Frith, and R. S. Frackowiak, "Statistical parametric maps in functional imaging: a general linear approach," Human brain mapping, vol. 2, no. 4, pp. 189-210, 1994
4. D. A. Handwerker, J. M. Ollinger, M. D'Esposito et al., "Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses," Neuroimage, vol. 21, no. 4, pp. 1639-1651, 2004
5. S. Donnet, M. Lavielle, and J.-B. Poline, "Are fmri eventrelated response constant in time? a model selection answer," Neuroimage, vol. 31, no. 3, pp. 1169-1176, 2006
6. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline, "Joint detectionestimation of brain activity in functional mri: a multichannel deconvolution solution," Signal Processing, IEEE Transactions on, vol. 53, no. 9, pp. 3488-3502, 2005
7. B. O. Turner, J. A. Mumford, R. A. Poldrack, and F. G. Ashby, "Spatiotemporal activity estimation for multivoxel pattern analysis with rapid event-related designs," NeuroImage, 2012
8. G. H. Glover, "Deconvolution of impulse response in eventrelated BOLD fMRI," Neuroimage, vol. 9, no. 4, pp. 416-429, 1999
9. D. C. Liu and J. Nocedal, "On the limited memory method for large scale optimization," Mathematical Programming B, vol. 45, no. 3, pp. 503-528, 1989
10. K. N. Kay, T. Naselaris, R. J. Prenger, and J. L. Gallant, "Identifying natural images from human brain activity," Nature, vol. 452, no. 7185, pp. 352-355, 2008
11. A. Gramfort, C. Pallier, G. Varoquaux, and B. Thirion, "Decoding visual percepts induced by word reading with fMRI," in Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, Londres, Royaume-Uni, Jul 2012, pp. 13-16.