Similarity representation of pattern-information fMRI

Chinese Science Bulletin

Volumn 58, Issue 11, 2013, Pages 1236-1242

  Xue, ShaoWei ^a   Weng, XuChu ^a   He, Sheng ^a,b,c   Li, DianWen ^a,b  

^a HANGZHOU NORMAL UNIVERSITY   (China)

^b Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments   (China)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

condition rich experiments; decode; pattern information; representational similarity analysis

Indexed keywords

HAPLORHINI;

EID: 84877802933     PISSN: 10016538     EISSN: 18619541     Source Type: Journal    
DOI: 10.1007/s11434-013-5743-0     Document Type: Review

References (59)

1. Decharms R C, Zador A. Neural representation and the cortical code. Annu Rev Neurosci, 2000, 23: 613-647.
2. Edelman S. Representation is representation of similarities. Behav Brain Sci, 1998, 21: 449-467.
3. Tong F, Pratte M. Decoding patterns of human brain activity. Annu Rev Psychol, 2011, 63: 483-509.
4. Logothetis N K. What we can do and what we cannot do with fMRI. Nature, 2008, 453: 869-878.
5. Carlson T A, Schrater P, He S. Patterns of activity in the categorical representations of objects. J Cogn Neurosci, 2003, 15: 704-717.
6. Formisano E, De Martino F, Bonte M, et al. "Who" is saying"what"? brain-based decoding of human voice and speech. Science, 2008, 322: 970-973.
7. Poldrack R A. Inferring mental states from neuroimaging data: From reverse inference to large-scale decoding. Neuron, 2011, 72: 692-697.
8. Kamitani Y, Tong F. Decoding the visual and subjective contents of the human brain. Nat Neurosci, 2005, 8: 679-685.
9. Haynes J D, Rees G. Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nat Neurosci, 2005, 8: 686-691.
10. Friston K J. Modalities, modes, and models in functional neuro-imaging. Science, 2009, 326: 399-403.
11. Haxby J V. Multivariate pattern analysis of fMRI: The early begin-nings. NeuroImage, 2012, 62: 852-855.
12. Raizada R D S, Kriegeskorte N. Pattern-information fMRI: New questions which it opens up and challenges which face it. Int J Imag Syst Tech, 2010, 20: 31-41.
13. Mur M, Bandettini P A, Kriegeskorte N. Revealing representational content with pattern-information fMRI-an introductory guide. Soc Cogn Affect Neur, 2009, 4: 101-109.
14. Yang Z, Fang F, Weng X. Recent developments in multivariate pattern analysis for functional MRI. Neurosci Bull, 2012, 28: 399-408.
15. Li S. Multivariate pattern analysis in functional brain imaging. Acta Physiol Sin, 2011, 63: 472-476.
16. Norman K A, Polyn S M, Detre G J, et al. Beyond mind-reading: Multi-voxel pattern analysis of fMRI data. Trends Cogn Sci, 2006, 10: 424-430.
17. Kriegeskorte N, Simmons W K, Bellgowan P S F, et al. Circular analysis in systems neuroscience: The dangers of double dipping. Nat Neurosci, 2009, 12: 535-540.
18. Kriegeskorte N. Relating population-code representations between man, monkey, and computational models. Front Neurosci, 2009, 3: 363-373.
19. Kriegeskorte N, Mur M, Bandettini P. Representational similarity analysis-connecting the branches of systems neuroscience. Front Syst Neurosci, 2008, 2: 1-28.
20. Hatfield G. Representation and constraints: The inverse problem and the structure of visual space. Acta Psychol, 2003, 114: 355-378.
21. Kiani R, Esteky H, Mirpour K, et al. Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. J Neurophysiol, 2007, 97: 4296-4309.
22. Kriegeskorte N, Mur M, Ruff D A, et al. Matching categorical object representations in inferior temporal cortex of man and monkey. Neuron, 2008, 60: 1126-1141.
23. Kravitz D J, Peng C S, Baker C I. Real-world scene representations in high-level visual cortex: It's the spaces more than the places. J Neurosci, 2011, 31: 7322-7333.
24. Borg I, Groenen P J F. Modern Multidimensional Scaling: Theory and Applications. 2nd ed. New York: Springer-Verlag, 2005.
25. Von Luxburg U. A tutorial on spectral clustering. Stat Comput, 2007, 17: 395-416.
26. Lemay M A, Grill W M. Modularity of motor output evoked by intraspinal microstimulation in cats. J Neurophysiol, 2004, 91: 502-514.
27. Hanson S J, Matsuka T, Haxby J V. Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: Is there a "face" area? NeuroImage, 2004, 23: 156-166.
28. Otoole A J, Jiang F, Abdi H, et al. Partially distributed represen-tations of objects and faces in ventral temporal cortex. J Cogn Neurosci, 2005, 17: 580-590.
29. Kay K N, Naselaris T, Prenger R J, et al. Identifying natural images from human brain activity. Nature, 2008, 452: 352-355.
30. Walther D B, Caddigan E, Li F, et al. Natural scene categories revealed in distributed patterns of activity in the human brain. J Neurosci, 2009, 29: 10573-10581.
31. Shepard R N, Chipman S. Second-order isomorphism of internal representations: Shapes of states. Cogn Psychol, 1970, 1: 1-17.
32. Friston K J. Functional and effective connectivity in neuroimaging: A synthesis. Hum Brain Mapp, 1994, 2: 56-78.
33. Kriegeskorte N, Goebel R, Bandettini P. Information-based functional brain mapping. Proc Natl Acad Sci USA, 2006, 103: 3863-3868.
34. Liang X, Wang J, He Y. Human connectome: Structural and functional brain networks (in Chinese). Chin Sci Bull (Chin Ver), 2010, 55: 1565-1583.
35. Connolly A C, Guntupalli J S, Gors J, et al. The representation of biological classes in the human brain. J Neurosci, 2012, 32: 2608-2618.
36. Mur M, Ruff D A, Bodurka J, et al. Categorical, yet graded-single-image activation profiles of human category-selective cortical regions. J Neurosci, 2012, 32: 8649-8662.
37. Aqil M, Hong K S, Jeong M Y, et al. Detection of event-related hemodynamic response to neuroactivation by dynamic modeling of brain activity. NeuroImage, 2012, 63: 553-568.
38. Pearl J. Causality: Models, Reasoning, and Inference. Cambridge: Cambridge University Press, 2000.
39. Stigler S M. Francis Galton's account of the invention of correlation. Stat Sci, 1989, 4: 73-79.
40. Wells III W M, Viola P, Atsumi H, et al. Multi-modal volume registration by maximization of mutual information. Med Image Anal, 1996, 1: 35-51.
41. Granger C W J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 1969, 37: 424-438.
42. Raizada R D S, Connolly A C. What makes different people's representations alike: Neural similarity space solves the problem of across-subject fMRI decoding. J Cogn Neurosci, 2012, 24: 868-877.
43. Haxby J V, Gobbini M I, Furey M L, et al. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 2001, 293: 2425-2430.
44. Polk T A, Park J, Smith M R, et al. Nature versus nurture in ventral visual cortex: A functional magnetic resonance imaging study of twins. J Neurosci, 2007, 27: 13921-13925.
45. Mahon B Z, Caramazza A. What drives the organization of object knowledge in the brain? Trends Cogn Sci, 2011, 15: 97-103.
46. Raizada R D S, Tsao F M, Liu H M, et al. Linking brain-wide multivoxel activation patterns to behaviour: Examples from language and math. NeuroImage, 2010, 51: 462-471.
47. Zou Q, Wang Z, Luo S W, et al. A computational coding model for saliency detection in primary visual cortex. Chin Sci Bull, 2012, 57: 3943-3952.
48. Mitchell T M, Shinkareva S V, Carlson A, et al. Predicting human brain activity associated with the meanings of nouns. Science, 2008, 320: 1191-1195.
49. Kriegeskorte N. Pattern-information analysis: From stimulus decoding to computational-model testing. NeuroImage, 2011, 56: 411-421.
50. Naselaris T, Prenger R J, Kay K N, et al. Bayesian reconstruction of natural images from human brain activity. Neuron, 2009, 63: 902-915.
51. Giordano B L, McAdams S, Zatorre R J, et al. Abstract encoding of auditory objects in cortical activity patterns. Cereb Cortex, 2012, doi: 10. 1093/cercor/bhs162.
52. Jenkins L J, Ranganath C. Prefrontal and medial temporal lobe activity at encoding predicts temporal context memory. J Neurosci, 2010, 30: 15558-15565.
53. Lee Y S, Turkeltaub P, Granger R, et al. Categorical speech processing in Broca's area: An fMRI study using multivariate pattern-based analysis. J Neurosci, 2012, 32: 3942-3948.
54. Peelen M V, Atkinson A P, Vuilleumier P. Supramodal represen-tations of perceived emotions in the human brain. J Neurosci, 2010, 30: 10127-10134.
55. Blair K P, Rosenberg-Lee M, Tsang J M, et al. Beyond natural numbers: Negative number representation in parietal cortex. Front Syst Neurosci, 2012, 6: 1-17.
56. Howard J D, Plailly J, Grueschow M, et al. Odor quality coding and categorization in human posterior piriform cortex. Nat Neurosci, 2009, 12: 932-938.
57. Xue G, Dong Q, Chen C, et al. Greater neural pattern similarity across repetitions is associated with better memory. Science, 2010, 330: 97-101.
58. Gilbert S J, Armbruster D J N, Panagiotidi M. Similarity between brain activity at encoding and retrieval predicts successful realization of delayed intentions. J Cogn Neurosci, 2012, 24: 93-105.
59. Crinion J, Price C J. Right anterior superior temporal activation predicts auditory sentence comprehension following aphasic stroke. Brain, 2005, 128: 2858-2871.