Decoding Spontaneous Emotional States in the Human Brain

PLoS Biology

Volumn 14, Issue 9, 2016, Pages

  Kragel, Philip A ^a   Knodt, Annchen R ^a   Hariri, Ahmad R ^a   LaBar, Kevin S ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN FUNCTION; HUMAN; HUMAN EXPERIMENT; MODEL; MOOD; PERSONALITY; PREDICTIVE VALIDITY; REST; AFFECT; BRAIN; BRAIN MAPPING; EMOTION; FEMALE; MALE; PHYSIOLOGY; YOUNG ADULT;

AFFECT; BRAIN; BRAIN MAPPING; EMOTIONS; FEMALE; HUMANS; MALE; PERSONALITY; REST; YOUNG ADULT;

EID: 84991821862     PISSN: 15449173     EISSN: 15457885     Source Type: Journal    
DOI: 10.1371/journal.pbio.2000106     Document Type: Article

References (59)

1. Norman KA, Polyn SM, Detre GJ, Haxby JV, Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends Cogn Sci. 2006;10(9):424–30. doi: 10.1016/j.tics.2006.07.00516899397.
2. O'Toole AJ, Jiang F, Abdi H, Penard N, Dunlop JP, Parent MA, Theoretical, statistical, and practical perspectives on pattern-based classification approaches to the analysis of functional neuroimaging data. J Cogn Neurosci. 2007;19(11):1735–52. doi: 10.1162/jocn.2007.19.11.173517958478.
3. Haxby JV, Gobbini MI, Furey ML, Ishai A, Schouten JL, Pietrini P, Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science. 2001;293(5539):2425–30. doi: 10.1126/science.106373611577229.
4. Kamitani Y, Tong F, Decoding the visual and subjective contents of the human brain. Nat Neurosci. 2005;8(5):679–85. doi: 10.1038/nn144415852014; PubMed Central PMCID: PMC1808230.
5. Tong F, Pratte MS, Decoding patterns of human brain activity. Annu Rev Psychol. 2012;63:483–509. doi: 10.1146/annurev-psych-120710-10041221943172.
6. Harrison SA, Tong F, Decoding reveals the contents of visual working memory in early visual areas. Nature. 2009;458(7238):632–5. doi: 10.1038/nature0783219225460; PubMed Central PMCID: PMC2709809.
7. Serences JT, Ester EF, Vogel EK, Awh E, Stimulus-specific delay activity in human primary visual cortex. Psychol Sci. 2009;20(2):207–14. doi: 10.1111/j.1467-9280.2009.02276.x19170936; PubMed Central PMCID: PMC2875116.
8. Lewis-Peacock JA, Postle BR, Temporary activation of long-term memory supports working memory. J Neurosci. 2008;28(35):8765–71. doi: 10.1523/JNEUROSCI.1953-08.200818753378; PubMed Central PMCID: PMC2699183.
9. Stokes M, Thompson R, Cusack R, Duncan J, Top-down activation of shape-specific population codes in visual cortex during mental imagery. J Neurosci. 2009;29(5):1565–72. doi: 10.1523/JNEUROSCI.4657-08.200919193903.
10. Reddy L, Tsuchiya N, Serre T, Reading the mind's eye: decoding category information during mental imagery. Neuroimage. 2010;50(2):818–25. doi: 10.1016/j.neuroimage.2009.11.08420004247; PubMed Central PMCID: PMC2823980.
11. Horikawa T, Tamaki M, Miyawaki Y, Kamitani Y, Neural decoding of visual imagery during sleep. Science. 2013;340(6132):639–42. doi: 10.1126/science.123433023558170.
12. Poldrack RA, Halchenko YO, Hanson SJ, Decoding the large-scale structure of brain function by classifying mental States across individuals. Psychol Sci. 2009;20(11):1364–72. doi: 10.1111/j.1467-9280.2009.02460.x19883493; PubMed Central PMCID: PMC2935493.
13. Kragel PA, LaBar KS, Multivariate neural biomarkers of emotional states are categorically distinct. Soc Cogn Affect Neurosci. 2015;10(11):1437–48. doi: 10.1093/scan/nsv03225813790; PubMed Central PMCID: PMC4631142.
14. Saarimaki H, Gotsopoulos A, Jaaskelainen IP, Lampinen J, Vuilleumier P, Hari R, et al. Discrete Neural Signatures of Basic Emotions. Cereb Cortex. 2016Jun;26(6):2563–73. bhv086 [pii] doi: 10.1093/cercor/bhv08625924952.
15. Fox MD, Raichle ME, Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci. 2007;8(9):700–11. Epub 2007/08/21. doi: 10.1038/nrn220117704812.
16. Vincent JL, Patel GH, Fox MD, Snyder AZ, Baker JT, Van Essen DC, et al. Intrinsic functional architecture in the anaesthetized monkey brain. Nature. 2007;447(7140):83–U4. doi: 10.1038/Nature05758. ISI:000246149300048. 17476267
17. Kenet T, Bibitchkov D, Tsodyks M, Grinvald A, Arieli A, Spontaneously emerging cortical representations of visual attributes. Nature. 2003;425(6961):954–6. Epub 2003/10/31. doi: 10.1038/nature0207814586468.
18. Russell JA, A Circumplex Model of Affect. J Pers Soc Psychol. 1980;39(6):1161–78. doi: 10.1037/H0077714. WOS:A1980KX30300015.
19. DeNeve KM, Cooper H, The happy personality: a meta-analysis of 137 personality traits and subjective well-being. Psychol Bull. 1998;124(2):197–229. 9747186.
20. Costa PT, Jr.McCrae RR, Influence of extraversion and neuroticism on subjective well-being: happy and unhappy people. J Pers Soc Psychol. 1980;38(4):668–78. 7381680.
21. Lahey BB, Public health significance of neuroticism. Am Psychol. 2009;64(4):241–56. doi: 10.1037/a001530919449983; PubMed Central PMCID: PMC2792076.
22. Chapman HA, Bernier D, Rusak B, MRI-related anxiety levels change within and between repeated scanning sessions. Psychiat Res-Neuroim. 2010;182(2):160–4. doi: 10.1016/j.pscychresns.2010.01.005. ISI:000278701500012.
23. van Minde D, Klaming L, Weda H, Pinpointing Moments of High Anxiety During an MRI Examination. Int J Behav Med. 2014;21(3):487–95. doi: 10.1007/s12529-013-9339-5. ISI:000335770800010. 24043600
24. Muehlhan M, Lueken U, Wittchen HU, Kirschbaum C, The scanner as a stressor: Evidence from subjective and neuroendocrine stress parameters in the time course of a functional magnetic resonance imaging session. Int J Psychophysiol. 2011;79(2):118–26. doi: 10.1016/j.ijpsycho.2010.09.009. ISI:000288294700005. 20875462
25. Reinsch CH, Smoothing by spline functions. Numerische mathematik. 1967;10(3):177–83.
26. Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106(3):1125–65. doi: 10.1152/jn.00338.201121653723; PubMed Central PMCID: PMC3174820.
27. Radloff LS, The CES-D Scale: A Self-Report Depression Scale for Research in the General Population. Applied Psychological Measurement. 1977;1(3):385–401. doi: 10.1177/014662167700100306
28. Spielberger CD, Gorsuch RL, Lushene RE. Manual for the state-trait anxiety inventory. 1970.
29. Costa PT, McCrae RR, The revised NEO personality inventory (NEO-PI-R). The SAGE Handbook of Personality Theory and Assessment. 2008;2:179–98.
30. Costa PT, McCrae RR, Domains and Facets—Hierarchical Personality-Assessment Using the Revised NEO Personality-Inventory. J Pers Assess. 1995;64(1):21–50. doi: 10.1207/s15327752jpa6401_2. ISI:A1995QE82600002. 16367732
31. Jang KL, Livesley WJ, Vernon PA, Heritability of the big five personality dimensions and their facets: A twin study. J Pers. 1996;64(3):577–91. doi: 10.1111/j.1467-6494.1996.tb00522.x. ISI:A1996VD76400002. 8776880
32. McCrae RR, Costa PT, Personality trait structure as a human universal. Am Psychol. 1997;52(5):509–16. doi: 10.1037/0003-066x.52.5.509. ISI:A1997WW85400001. 9145021
33. Polyn SM, Natu VS, Cohen JD, Norman KA, Category-specific cortical activity precedes retrieval during memory search. Science. 2005;310(5756):1963–6. doi: 10.1126/science.111764516373577.
34. Oatley K, Johnson-Laird PN, Towards a cognitive theory of emotions. Cognition and emotion. 1987;1(1):29–50.
35. Ekman P, Cordaro D, What is Meant by Calling Emotions Basic. Emot Rev. 2011;3(4):364–70. doi: 10.1177/1754073911410740. WOS:000306274900002.
36. Pessoa L, On the relationship between emotion and cognition. Nat Rev Neurosci. 2008;9(2):148–58. WOS:000252503300016. doi: 10.1038/nrn231718209732
37. Lindquist KA, Wager TD, Kober H, Bliss-Moreau E, Barrett LF, The brain basis of emotion: a meta-analytic review. Behav Brain Sci. 2012;35(3):121–43. Epub 2012/05/24. doi: 10.1017/S0140525X1100044622617651; PubMed Central PMCID: PMC4329228.
38. Scherer KR, Emotions are emergent processes: they require a dynamic computational architecture. Philos T R Soc B. 2009;364(1535):3459–74. WOS:000271333900004.
39. Eryilmaz H, De Ville DV, Schwartz S, Vuilleumier P, Lasting Impact of Regret and Gratification on Resting Brain Activity and Its Relation to Depressive Traits. Journal of Neuroscience. 2014;34(23):7825–35. WOS:000337630700011. doi: 10.1523/JNEUROSCI.0065-14.201424899706
40. Eryilmaz H, Van De Ville D, Schwartz S, Vuilleumier P, Impact of transient emotions on functional connectivity during subsequent resting state: A wavelet correlation approach. Neuroimage. 2011;54(3):2481–91. WOS:000286302000070. doi: 10.1016/j.neuroimage.2010.10.02120955802
41. Kragel PA, LaBar KS, Decoding the Nature of Emotion in the Brain. Trends Cogn Sci. 2016. doi: 10.1016/j.tics.2016.03.01127133227.
42. Touroutoglou A, Lindquist KA, Dickerson BC, Barrett LF, Intrinsic connectivity in the human brain does not reveal networks for ‘basic’ emotions. Social Cognitive and Affective Neuroscience. 2015;10(9):1257–65. doi: 10.1093/scan/nsv01325680990
43. Vytal K, Hamann S, Neuroimaging support for discrete neural correlates of basic emotions: a voxel-based meta-analysis. J Cogn Neurosci. 2010;22(12):2864–85. Epub 2009/11/26. doi: 10.1162/jocn.2009.2136619929758.
44. Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci. 2007;27(9):2349–56. doi: 10.1523/JNEUROSCI.5587-06.200717329432; PubMed Central PMCID: PMC2680293.
45. Kriegeskorte N, Cusack R, Bandettini P, How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex spatiotemporal filter?Neuroimage. 2010;49(3):1965–76. WOS:000273626400005. doi: 10.1016/j.neuroimage.2009.09.05919800408
46. Woo CW, Koban L, Kross E, Lindquist MA, Banich MT, Ruzic L, et al. Separate neural representations for physical pain and social rejection. Nature communications. 2014;5:5380. doi: 10.1038/ncomms638025400102; PubMed Central PMCID: PMC4285151.
47. Baumeister RF, A Self-Presentational View of Social Phenomena. Psychological Bulletin. 1982;91(1):3–26. WOS:A1982NF12700001.
48. Kassam KS, Mendes WB, The effects of measuring emotion: physiological reactions to emotional situations depend on whether someone is asking. PLoS ONE. 2013;8(7):e64959. doi: 10.1371/journal.pone.006495923785407; PubMed Central PMCID: PMC3680163.
49. Salzman CD, Fusi S, Emotion, cognition, and mental state representation in amygdala and prefrontal cortex. Annu Rev Neurosci. 2010;33:173–202. doi: 10.1146/annurev.neuro.051508.13525620331363; PubMed Central PMCID: PMC3108339.
50. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, et al. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. The Journal of clinical psychiatry. 1998;59Suppl 20:22–33;quiz 4–57. 9881538.
51. M B, FirstSpitzer, Robert L, Gibbon Miriam, Williams, Janet B.W, Structured Clinical Interview for DSM-IV Axis I Disorders, Clinician Version (SCID-CV). Washington, D.C.: American Psychiatric Press, Inc.; 1996.
52. Chikazoe J, Lee DH, Kriegeskorte N, Anderson AK, Population coding of affect across stimuli, modalities and individuals. Nat Neurosci. 2014;17(8):1114–22. Epub 2014/06/24. doi: 10.1038/nn.374924952643; PubMed Central PMCID: PMC4317366.
53. Tusche A, Smallwood J, Bernhardt BC, Singer T, Classifying the wandering mind: revealing the affective content of thoughts during task-free rest periods. Neuroimage. 2014;97:107–16. Epub 2014/04/08. doi: 10.1016/j.neuroimage.2014.03.07624705200.
54. Scherer KR, What are emotions? And how can they be measured?Social Science Information. 2005;44(4):695–729. doi: 10.1177/0539018405058216. ISI:000233359100005.
55. Wold S, Sjostrom M, Eriksson L, PLS-regression: a basic tool of chemometrics. Chemometr Intell Lab. 2001;58(2):109–30. doi: 10.1016/S0169-7439(01)00155-1. ISI:000172360800006.
56. Bullmore E, Long C, Suckling J, Fadili J, Calvert G, Zelaya F, et al. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains. Hum Brain Mapp. 2001;12(2):61–78. 11169871.
57. Benjamini Y, Hochberg Y, Controlling the False Discovery Rate—a Practical and Powerful Approach to Multiple Testing. J Roy Stat Soc B Met. 1995;57(1):289–300. ISI:A1995QE45300017.
58. Yekutieli D, Benjamini Y, Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics. J Stat Plan Infer. 1999;82(1–2):171–96. WOS:000083580500015.
59. Landis JR, Koch GG, The Measurement of Observer Agreement for Categorical Data. Biometrics. 1977;33(1):159–74. doi: 10.2307/2529310843571