Visual representations are dominated by intrinsic fluctuations correlated between areas

NeuroImage

Volumn 114, Issue , 2015, Pages 275-286

  Henriksson, Linda ^a,b   Khaligh Razavi, Seyed Mahdi ^a,c   Kay, Kendrick ^d   Kriegeskorte, Nikolaus ^a  

^a MRC COGNITION AND BRAIN SCIENCES UNIT   (United Kingdom)

^b AALTO UNIVERSITY   (Finland)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d WASHINGTON UNIVERSITY   (United States)

Author keywords

Functional MRI; Intrinsic dynamics; Natural images; Pattern information; Representational similarity; Visual cortex

Indexed keywords

ARTICLE; BOLD SIGNAL; BRAIN FUNCTION; BRAIN REGION; BRAIN SIZE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUSIFORM FACE AREA; GEOMETRY; IMAGE ANALYSIS; NONHUMAN; OCCIPITAL CORTEX; PRIORITY JOURNAL; RECEPTIVE FIELD; SENSORY FEEDBACK; STIMULUS RESPONSE; VISION; VISUAL CORTEX; VISUAL STIMULATION; WAVELET ANALYSIS; BRAIN MAPPING; HUMAN; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHOTOSTIMULATION; PHYSIOLOGY; PROCEDURES;

BRAIN MAPPING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PHOTIC STIMULATION; VISUAL CORTEX; VISUAL PERCEPTION;

EID: 84929703630     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.04.026     Document Type: Article

References (35)

1. Arieli A., Sterkin A., Grinvald A., Aertsen A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science 1996, 273:1868-1871.
2. Becker R., Reinacher M., Freyer F., Villringer A., Ritter P. How ongoing neuronal oscillations account for evoked fMRI variability. J. Neurosci. 2011, 31:11016-11027.
3. Benucci A., Saleem A.B., Carandini M. Adaptation maintains population homeostasis in primary visual cortex. Nat. Neurosci. 2013, 16:724-729.
4. Carandini M., Demb J.B., Mante V., Tolhurst D.J., Dan Y., Olshausen B.A., Gallant J.L., Rust N.C. Do we know what the early visual system does?. J. Neurosci. 2005, 25:10577-10597.
5. Cavanaugh J.R., Bair W., Movshon J.A. Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons. J. Neurophysiol. 2002, 88:2530-2546.
6. Connolly A.C., Guntupalli J.S., Gors J., Hanke M., Halchenko Y.O., Wu Y.C., Abdi H., Haxby J.V. The representation of biological classes in the human brain. J. Neurosci. 2012, 32:2608-2618.
7. Duncan R.O., Boynton G.M. Cortical magnification within human primary visual cortex correlates with acuity thresholds. Neuron 2003, 38:659-671.
8. Fiser J., Chiu C., Weliky M. Small modulation of ongoing cortical dynamics by sensory input during natural vision. Nature 2004, 431:573-578.
9. Fox M.D., Raichle M.E. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat. Rev. Neurosci. 2007, 8:700-711.
10. Fox M.D., Snyder A.Z., Zacks J.M., Raichle M.E. Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nat. Neurosci. 2006, 9:23-25.
11. Freeman J., Ziemba C.M., Heeger D.J., Simoncelli E.P., Movshon J.A. A functional and perceptual signature of the second visual area in primates. Nat. Neurosci. 2013, 16:974-981.
12. Kay K.N., Naselaris T., Prenger R.J., Gallant J.L. Identifying natural images from human brain activity. Nature 2008, 452:352-355.
13. Kay K.N., Rokem A., Winawer J., Dougherty R.F., Wandell B.A. GLMdenoise: a fast, automated technique for denoising task-based fMRI data. Front. Neurosci. 2013, 7:247.
14. Kay K.N., Winawer J., Rokem A., Mezer A., Wandell B.A. A two-stage cascade model of BOLD responses in human visual cortex. PLoS Comput. Biol. 2013, 9:e1003079.
15. Khaligh-Razavi S.M., Kriegeskorte N. Deep supervised, but not unsupervised, models may explain IT cortical representation. PLoS Comput. Biol. 2014, 10:e1003915.
16. Kiani R., Esteky H., Mirpour K., Tanaka K. Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. J. Neurophysiol. 2007, 97:4296-4309.
17. Kriegeskorte N. Relating population-code representations between man, monkey, and computational models. Front. Neurosci. 2009, 3:363-373.
18. Kriegeskorte N., Kievit R.A. Representational geometry: integrating cognition, computation, and the brain. Trends Cogn. Sci. 2013, 17:401-412.
19. Kriegeskorte N., Kreiman G. Visual Population Codes - Toward a Common Multivariate Framework for Cell Recording and Functional Imaging 2011, MIT Press, Cambridge.
20. Kriegeskorte N., Goebel R., Bandettini P. Information-based functional brain mapping. Proc. Natl. Acad. Sci. U. S. A. 2006, 103:3863-3868.
21. Kriegeskorte N., Mur M., Bandettini P. Representational similarity analysis - connecting the branches of systems neuroscience. Front. Syst. Neurosci. 2008, 2:4.
22. Kriegeskorte N., Mur M., Ruff D.A., Kiani R., Bodurka J., Esteky H., Tanaka K., Bandettini P.A. Matching categorical object representations in inferior temporal cortex of man and monkey. Neuron 2008, 60:1126-1141.
23. Muller J.R., Metha A.B., Krauskopf J., Lennie P. Rapid adaptation in visual cortex to the structure of images. Science 1999, 285:1405-1408.
24. Naselaris T., Prenger R.J., Kay K.N., Oliver M., Gallant J.L. Bayesian reconstruction of natural images from human brain activity. Neuron 2009, 63:902-915.
25. Naselaris T., Stansbury D.E., Gallant J.L. Cortical representation of animate and inanimate objects in complex natural scenes. J. Physiol. Paris 2012, 106:239-249.
26. Nili H., Wingfield C., Walther A., Su L., Marslen-Wilson W., Kriegeskorte N. A toolbox for representational similarity analysis. PLoS Comput. Biol. 2014, 10:e1003553.
27. Nir Y., Hasson U., Levy I., Yeshurun Y., Malach R. Widespread functional connectivity and fMRI fluctuations in human visual cortex in the absence of visual stimulation. NeuroImage 2006, 30:1313-1324.
28. Nir Y., Mukamel R., Dinstein I., Privman E., Harel M., Fisch L., Gelbard-Sagiv H., Kipervasser S., Andelman F., Neufeld M.Y., Kramer U., Arieli A., Fried I., Malach R. Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex. Nat. Neurosci. 2008, 11:1100-1108.
29. Oliva A., Torralba A. Modeling the shape of the scene: a holistic representation of the spatial envelope. Int. J. Comput. Vis. 2001, 42:145-175.
30. Ress D., Backus B.T., Heeger D.J. Activity in primary visual cortex predicts performance in a visual detection task. Nat. Neurosci. 2000, 3:940-945.
31. Ritchey M., Yonelinas A.P., Ranganath C. Functional connectivity relationships predict similarities in task activation and pattern information during associative memory encoding. J. Cogn. Neurosci. 2014, 26:1085-1099.
32. Schurger A., Pereira F., Treisman A., Cohen J.D. Reproducibility distinguishes conscious from nonconscious neural representations. Science 2010, 327:97-99.
33. Shmuel A., Leopold D.A. Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: implications for functional connectivity at rest. Hum. Brain Mapp. 2008, 29:751-761.
34. Weliky M., Fiser J., Hunt R.H., Wagner D.N. Coding of natural scenes in primary visual cortex. Neuron 2003, 37:703-718.
35. Xue G., Dong Q., Chen C., Lu Z., Mumford J.A., Poldrack R.A. Greater neural pattern similarity across repetitions is associated with better memory. Science 2010, 330:97-101.