Emotions promote social interaction by synchronizing brain activity across individuals
Open accessAbstract
Sharing others’ emotional states may facilitate understanding their intentions and actions. Here we show that networks of brain areas “tick together” in participants who are viewing similar emotional events in a movie. Participants’ brain activity was measured with functional MRI while they watched movies depicting unpleasant, neutral, and pleasant emotions. After scanning, participants watched the movies again and continuously rated their experience of pleasantness–unpleasantness (i.e., valence) and of arousal–calmness. Pearson’s correlation coefficient was used to derive multisubject voxelwise similarity measures [intersubject correlations (ISCs)] of functional MRI data. Valence and arousal time series were used to predict the moment-to-moment ISCs computed using a 17-s moving average. During movie viewing, participants' brain activity was synchronized in lower- and higher-order sensory areas and in corticolimbic emotion circuits. Negative valence was associated with increased ISC in the emotion-processing network (thalamus, ventral striatum, insula) and in the default-mode network (precuneus, temporoparietal junction, medial prefrontal cortex, posterior superior temporal sulcus). High arousal was associated with increased ISC in the somatosensory cortices and visual and dorsal attention networks comprising the visual cortex, bilateral intraparietal sulci, and frontal eye fields. Seed-voxel–based correlation analysis confirmed that these sets of regions constitute dissociable, functional networks. We propose that negative valence synchronizes individuals’ brain areas supporting emotional sensations and understanding of another’s actions, whereas high arousal directs individuals’ attention to similar features of the environment. By enhancing the synchrony of brain activity across individuals, emotions may promote social interaction and facilitate interpersonal understanding.
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- Findingown data§ Emotions promote social interaction by synchronizing brain activity across individuals
Seed-voxel-based correlation analysis confirmed that these sets of regions constitute dissociable functional networks.
“Seed-voxel-based correlation analysis confirmed that these sets of regions constitute dissociable, functional networks.”
Quote in the paperNot a substantial claim - Findingown data
Statistically significant ISCs were observed in limbic regions implicated in affective processing, such as amygdala, anterior insula, thalamus, and somatosensory cortices.
“However, statistically significant ISCs also were observed in numerous limbic regions implicated in affective processing, such as the amygdala, anterior insula, and thalamus, as well as in somatosensory cortices.”
Quote in the paperSubstantial claim - Findingown data§ Emotions promote social interaction by synchronizing brain activity across individuals
During movie viewing, participants' brain activity was synchronized across subjects in lower- and higher-order sensory areas and in corticolimbic emotion circuits.
“During movie viewing, participants' brain activity was synchronized in lower-and higher-order sensory areas and in corticolimbic emotion circuits.”
- Also stated in: § Results · boosted
“During movie viewing, the brain activity was highly time-locked across subjects in several brain regions”
- Also stated in: § Results · plain
“statistically significant ISCs also were observed in numerous limbic regions implicated in affective processing, such as the amygdala, anterior insula, and thalamus, as well as in somatosensory cortices.”
Quote in the paperSubstantial claim - Also stated in: § Results · boosted
- Findingown data
Behavioral ratings confirmed movie stimuli elicited strong and time-variable emotional reactions, with mean valence 1.3-8.3 and mean arousal 2.6-8.0.
“Behavioral ratings (Fig. S1) confirmed that the movie stimuli elicited strong and time-variable emotional reactions, with mean valence ranging from 1.3 to 8.3 and mean arousal ranging from 2.6 to 8.0.”
Quote in the paperNot a substantial claim - Findingown data
For arousal, the corresponding effect was much smaller and restricted to temporal/hippocampal regions.
“For arousal, the corresponding effect was much smaller and was restricted to temporal/hippocampal regions.”
Quote in the paperNot a substantial claim
- Findingown data§ Emotions promote social interaction by synchronizing brain activity across individuals
Negative valence was associated with increased ISC in emotion-processing network (thalamus, ventral striatum, insula) and default-mode network (precuneus, TPJ, mPFC, posterior STS).
“Negative valence was associated with increased ISC in the emotion-processing network (thalamus, ventral striatum, insula) and in the default-mode network (precuneus, temporoparietal junction, medial prefrontal cortex, posterior superior temporal sulcus).”
- Also stated in: § Results · plain
“As valence decreased from positive to negative, ISC increased in regions involved in emotional processing (thalamus, ventral striatum, and medial prefrontal and anterior cingulate cortex) as well as in default-mode function [temporoparietal junction (TPJ), precuneus, and ventromedial prefrontal cortex (VMPFC)]”
- Also stated in: § Discussion · plain
“valence was negatively associated with ISC in regions involved in emotional processing, such as midbrain, thalamus, ventral striatum, insula, and anterior cingulate cortex (22,23) and also in the defaultmode network constituting of the TPJ, precuneus, superior temporal sulcus (STS), and VMPFC (29,30).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data§ Emotions promote social interaction by synchronizing brain activity across individuals
High arousal was associated with increased ISC in somatosensory cortices and visual and dorsal attention networks (visual cortex, bilateral IPS, frontal eye fields).
“High arousal was associated with increased ISC in the somatosensory cortices and visual and dorsal attention networks comprising the visual cortex, bilateral intraparietal sulci, and frontal eye fields.”
- Also stated in: § Results · plain
“the level of emotional arousal was associated positively with ISC in visual and somatosensory cortices and in regions involved in top-down attention control [bilateral intraparietal sulcus (IPS) and frontal eye field].”
- Also stated in: § Discussion · plain
“Whereas arousal was most prominently positively associated with ISC in the visual and dorsal attention networks (28)”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Correlations between ISC and valence versus ISC and arousal were statistically significantly different in all aforementioned regions (Z > 5.38, P < 0.001, Fisher's test).
“Correlations between ISC and valence versus ISC and arousal were statistically significantly different in all the aforementioned regions (Z > 5.38, P < 0.001, Fisher's test).”
Quote in the paperSubstantial claim - Findingown data
Similar results were observed when partial correlations were used to control for effects of valence on ISC by arousal or vice versa.
“Similar results were observed when partial correlations were used to control for effects of valence on ISC by arousal or vice versa (Table S2).”
Quote in the paperNot a substantial claim - Findingown data
RSA revealed pairwise similarity in valence ratings predicted similarity in brain activation time series, most notably in frontal components of emotion circuit (orbital and medial frontal cortex and anterior cingulum).
“Representational similarity analysis (RSA) revealed that pairwise similarity in valence ratings predicted similarity in brain activation time series, most notably in frontal components of the emotion circuit, namely, in the orbital and medial frontal cortex and anterior cingulum (Fig. S2 and Table S3).”
Quote in the paperSubstantial claim - Findingown data
ISC in posterior middle temporal gyrus region (MNI x=50, y=-48, z=-4; t=5.10) was positively associated with emotional empathy scores (P<0.05, FDR corrected).
“We found that ISC in the posterior middle temporal gyrus region (MNI coordinates x = 50, y = -48, z = -4; t = 5.10) was positively associated with emotional empathy scores [P < 0.05, false discovery rate (FDR) corrected] (Fig. S3)”
Quote in the paperNot a substantial claim - Findingown data
Largest ISCs were observed in occipito-parietal visual cortices and inferior and superior temporal and frontal lobes.
“Largest ISCs were observed in the occipito-parietal visual cortices and in the inferior and superior temporal and frontal lobes.”
Quote in the paperNot a substantial claim - Findingown data
ISCs in sensorimotor, auditory, and executive control networks did not correlate significantly with valence or arousal (P > 0.05).
“ISCs in the sensorimotor, auditory, and executive control networks did not correlate significantly with valence or arousal (P > 0.05).”
Quote in the paperNot a substantial claim - Findingown data
Cerebral regions showed statistically significant correlations between ISC and self-reported valence and arousal scores during viewing of film clips (P < 0.05, FDR corrected).
“Cerebral regions where ISC was statistically significantly correlated with self-reported valence (blue to turquoise) and arousal (orange to yellow) scores during viewing of film clips (P < 0.05, FDR corrected).”
- Also stated in: § RSA of Emotional Feelings and ISC. · plain
“Brain regions where ISC was statistically significantly correlated with selfreported valence (blue to turquoise) and arousal (red to yellow) scores during viewing of film clips (P < 0.05, FDR corrected).”
Quote in the paperSubstantial claim - Also stated in: § RSA of Emotional Feelings and ISC. · plain
- Findingown data
Overlap of valence- and arousal-contingent ISC was maximal around posterior MTG/STS region.
“The overlap of the valence-and arousal-contingent ISC was maximal around the posterior middle temporal gyrus (MTG)/STS region”
Quote in the paperSubstantial claim - Findingown data
Brain regions showed statistically significant (P < 0.05, FDR corrected) group-level ISCs during viewing of film clips.
“Brain regions showing statistically significant (P < 0.05, FDR corrected) group-level ISCs during viewing of film clips.”
Quote in the paperSubstantial claim - Premisecitation
Such intersubject synchronization of behavior facilitates social interaction.
“Such intersubject synchronization of behavior facilitates social interaction.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [26] 26. Lakin JL, Jefferis VE, Cheng CM, Chartrand TL (2003) The chameleon effect as social glue: Evidence for the evolutionary significance of nonconscious mimicry. J Nonverbal Behav 27:145-162. source
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- cites [27] 27. Lakin JL, Chartrand TL (2003) Using nonconscious behavioral mimicry to create affil- iation and rapport. Psychol Sci 14:334-339. source
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- Interpretationown data
This finding corroborates recent suggestions that default-mode network actually may be involved in evaluation of potentially survival-relevant information from body and environment as well as in self-referential and social processing and perspective taking.
“This finding corroborates recent suggestions that the default-mode network actually may be involved in the evaluation of potentially survivalrelevant information from the body and the environment as well as in self-referential and social processing and perspective taking (29,38).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [29] 29. Raichle ME, et al. (2001) A default mode of brain function. Proc Natl Acad Sci USA 98: 676-682. source
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- cites [38] 38. Schilbach L, Eickhoff SB, Rotarska-Jagiela A, Fink GR, Vogeley K (2008) Minds at rest? Social cognition as the default mode of cognizing and its putative relationship to the "default system" of the brain. Conscious Cogn 17:457-467. source
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- Interpretationown data
Catching emotions that other humans express in dynamic scenes resembling everyday life is associated with intersubject synchronization of brain circuitries related to emotional, attentional, and mentalizing processes.
“Catching emotions that other humans express-here in dynamic scenes resembling everyday life-is associated with intersubject synchronization of brain circuitries related to emotional, attentional, and mentalizing processes.”
Quote in the paperSubstantial claim- Rests on an assumption: The emotional events in the movie clips resemble real-life social interactions closely enough that findings generalize to social interaction.
- Premisecitation
Contribution of enhanced arousal to synchronization of attention networks is corroborated by studies showing both pleasant and unpleasant highly arousing events engage brain's attention circuitry, thus making individuals focus on similar locations occupied by emotional content.
“The contribution of enhanced arousal to synchronization of the attention networks is corroborated by studies showing that both pleasant and unpleasant highly arousing events engage the brain' attention circuitry, thus making individuals focus on similar locations occupied by emotional content (23,33).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [23] 23. Vuilleumier P (2005) How brains beware: Neural mechanisms of emotional attention. Trends Cogn Sci 9:585-594. source
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- cites [33] 33. Yiend J (2010) The effects of emotion on attention: A review of attentional pro- cessing of emotional information. Cogn Emotion 24:3-47. source
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- Interpretationown data
Activity within this region was most similar in participants who considered themselves highly empathetic.
“suggesting that activity within this region was most similar in participants who considered themselves as highly empathetic.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Higher-order evaluative processes, such as emotional assessment, also seem to occur at similar temporal scales across individuals.
“Thus, higher-order evaluative processes, such as emotional assessment, also seem to occur at similar temporal scales across individuals.”
Quote in the paperSubstantial claim - Premisecitation
Somatosensory cortices are activated when participants actively simulate others' emotional states.
“the somatosensory cortices are activated when participants actively simulate others' emotional states (37).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [37] 37. Nummenmaa L, Hirvonen J, Parkkola R, Hietanen JK (2008) Is emotional contagion special? An fMRI study on neural systems for affective and cognitive empathy. Neu- roimage 43:571-580. source
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- Premisecitation
When viewing complex dynamic scenes, brain activity in sensory and attention-controlling systems becomes synchronized across individuals.
“When viewing complex dynamic scenes, brain activity in sensory and attention-controlling systems becomes synchronized across individuals (12-16)”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [12] 12. Malinen S, Hlushchuk Y, Hari R (2007) Towards natural stimulation in fMRI-issues of data analysis. Neuroimage 35:131-139. source
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- cites [13] 13. Kauppi J-P, Jääskeläinen IP, Sams M, Tohka J (2010) Inter-subject correlation of brain hemodynamic responses during watching a movie: Localization in space and fre- quency. Front Neuroinform 4:5.
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- cites [14] 14. Hasson U, Nir Y, Levy I, Fuhrmann G, Malach R (2004) Intersubject synchronization of cortical activity during natural vision. Science 303:1634-1640. source
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- cites [15] 15. Jääskeläinen IP, et al. (2008) Inter-subject synchronization of prefrontal cortex he- modynamic activity during natural viewing. Open Neuroimaging J 2:14-19. source
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- cites [16] 16. Wilson SM, Molnar-Szakacs I, Iacoboni M (2008) Beyond superior temporal cortex: Intersubject correlations in narrative speech comprehension. Cereb Cortex 18: 230-242. source
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- Interpretationown data
Both valence and arousal had regionally specific rather than global effects on time-locking of brain activation across individuals.
“suggesting that both valence and arousal had regionally specific rather than global effects on time-locking of brain activation across individuals.”
Quote in the paperSubstantial claim - Premisecitation
Somatosensory cortices are involved in representation and encoding of bodily states caused by emotions.
“Emotional arousal also was associated with enhanced ISC in the somatosensory cortices which, in addition to their role in sensory and proprioceptive mapping of the body, are involved in the representation and encoding of the bodily states caused by emotions.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [36] 36. Johnsen EL, Tranel D, Lutgendorf S, Adolphs R (2009) A neuroanatomical dissociation for emotion induced by music. Int J Psychophysiol 72:24-33. source
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- cites [37] 37. Nummenmaa L, Hirvonen J, Parkkola R, Hietanen JK (2008) Is emotional contagion special? An fMRI study on neural systems for affective and cognitive empathy. Neu- roimage 43:571-580. source
Not checked in the free run.
- Interpretationown data
The degree of moment-to-moment synchronization of individuals' brain activity depended linearly on intensity of participants' emotional states as measured by valence and arousal dimensions.
“This degree of the moment-to-moment synchronization of individuals' brain activity depended linearly on the intensity of the participants' emotional states as measured by valence and arousal dimensions.”
Quote in the paperSubstantial claim- Rests on an assumption: The post-scan valence and arousal ratings reflect participants' moment-to-moment emotional states during the initial fMRI viewing.
- Premisecitation
Humans have a tendency to synchronize with each others' actions as well as physiological and mental states during social encounters.
“Humans have a tendency to synchronize with each others' actions as well as physiological and mental states during social encounters (1-3, 24, 25).”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [1] 1. Dimberg U, Thunberg M (1998) Rapid facial reactions to emotional facial expressions. Scand J Psychol 39:39-45. source
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- cites [2] 2. Hietanen JK, Surakka V, Linnankoski I (1998) Facial electromyographic responses to vocal affect expressions. Psychophysiology 35:530-536. source
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- cites [3] 3. Wild B, Erb M, Bartels M (2001) Are emotions contagious? Evoked emotions while viewing emotionally expressive faces: Quality, quantity, time course and gender dif- ferences. Psychiatry Res 102:109-124. source
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- cites [24] 24. Hari R, Kujala MV (2009) Brain basis of human social interaction: From concepts to brain imaging. Physiol Rev 89:453-479. source
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- cites [25] 25. Konvalinka I, et al. (2011) Synchronized arousal between performers and related spectators in a fire-walking ritual. Proc Natl Acad Sci USA 108:8514-8519. source
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- Interpretationreasoning
MTG/STS region thus may function as a hub that underlies encoding of others' behavioral and emotional intentions.
“The MTG/STS region thus may function as a hub that underlies the encoding of others' behavioral and emotional intentions.”
Quote in the paperSubstantial claim - Interpretationown data
The paper's findings indicate that synchronization of emotions between individuals offers an attentional and affective framework for interpreting others' actions.
“Our findings suggest that such synchronization of emotions across individuals provides an attentional and affective framework for interpreting others' actions.”
Quote in the paperSubstantial claim - Premisecitation
One recent study demonstrated that when two individuals are receiving and transmitting nonverbal information between one other (and thus require sharing of mental states between communicators), activity in their frontal cortices becomes synchronized.
“For example, one recent study demonstrated that when two individuals are receiving and transmitting nonverbal information between one other (and thus require the sharing of mental states between the communicators), the activity in their frontal cortices becomes synchronized (19).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] 19. Schippers MB, Roebroeck A, Renken R, Nanetti L, Keysers C (2010) Mapping the in- formation flow from one brain to another during gestural communication. Proc Natl Acad Sci USA 107:9388-9393. source
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- Interpretationreasoning
Through these mechanisms, emotions could promote social interaction by increasing synchrony between brain activity and behavior across different individuals.
“Through these mechanisms emotions could promote social interaction by enhancing the synchrony between brain activity and behavior across different individuals.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 27
- May combine two claims. 22
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataValence and arousal were negatively correlated (r = -0.22, P < 0.001).
“Valence and arousal were negatively correlated (r = -0.22,P < 0.001).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither valence nor arousal correlated significantly with whole-volume average ISC (P > 0.05).
“Neither valence nor arousal correlated significantly with the whole-volume average ISC (P > 0.05)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhen mean ISC time courses of all statistically significant voxels in each of six intrinsic networks were correlated with valence and arousal time series, arousal but not valence correlated positively with mean ISC in visual and dorsal attention network, whereas valence but not arousal correlated negatively with ISC in default-mode network.
“When the mean ISC time courses of all statistically significant voxels in each of the six intrinsic networks were correlated with valence and arousal time series, a similar pattern of results emerged: Arousal, but not valence, correlated positively with mean ISC in the visual and dorsal attention network, whereas valence, but not arousal, correlated negatively with ISC in the default-mode network.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataValence modulates ISC in the default-mode network, while arousal modulates ISC in the visual network and dorsal attention network.
“Valence modulates ISC in the default-mode network (yellow) and arousal in the visual network (violet) and dorsal attention network (green).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDuring movie viewing a nonselective ISC component (spanning to insular cortex) is associated with emotional events in movies.
“during movie viewing a nonselective ISC component (spanning to the insular cortex) is associated with emotional events in the movies (14).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] 14. Hasson U, Nir Y, Levy I, Fuhrmann G, Malach R (2004) Intersubject synchronization of cortical activity during natural vision. Science 303:1634-1640. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLesions of somatosensory cortices dampen subjective emotional feelings.
“Lesions of the somatosensory cortices dampen subjective emotional feelings (36)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] 36. Johnsen EL, Tranel D, Lutgendorf S, Adolphs R (2009) A neuroanatomical dissociation for emotion induced by music. Int J Psychophysiol 72:24-33. source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNumerous independent studies have established that highly arousing events catch both covert and overt attention.
“However, numerous independent studies have established that highly arousing events catch both the covert and overt attention (34,35).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [34] 34. Nummenmaa L, Hyönä J, Calvo MG (2006) Eye movement assessment of selective attentional capture by emotional pictures. Emotion 6:257-268. source
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- cites [35] 35. Brosch T, Sander D, Scherer KR (2007) That baby caught my eye. . . attention capture by infant faces. Emotion 7:685-689. source
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May combine two claims.
InterpretationreasoningDuring moments of high arousal, different individuals would focus their attention on similar emotional features in environment, and this focus would be reflected in enhanced time-locking of brain activity in dorsal attention network.
“Accordingly, during moments of high arousal, different individuals would focus their attention on similar emotional features in the environment, and this focus would be reflected in the enhanced timelocking of brain activity in the dorsal attention network.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationRecent models have proposed that somatosensory cortices might have a more general (non-emotion-specific) role in understanding actions.
“Recent models have proposed further that the somatosensory cortices might have a more general (i.e., non-emotion-specific) role in understanding actions (11).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] 11. Keysers C, Kaas JH, Gazzola V (2010) Somatosensation in social perception. Nat Rev Neurosci 11:417-428. source
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May combine two claims.
Interpretationown dataOur data suggest that attention-related mechanism is arousal-contingent, whereas mapping mechanism is valence-contingent.
“Our data suggest that the attention-related mechanism is arousal-contingent, whereas the mapping mechanism is valence-contingent.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataOur findings suggest that temporally synchronized somatosensory codes across individuals might be a critical mechanism supporting mutual understanding of actions and that highly arousing events would be particularly effective in triggering this kind of somatosensory resonance across individuals.
“Our findings suggest that temporally synchronized somatosensory codes across individuals might be a critical mechanism supporting mutual understanding of actions and that highly arousing events would be particularly effective in triggering this kind of somatosensory resonance across individuals.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationActivity of default-mode network typically is suppressed during external stimulation.
“The activity of the default-mode network typically is suppressed during external stimulation (29)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] 29. Raichle ME, et al. (2001) A default mode of brain function. Proc Natl Acad Sci USA 98: 676-682. source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationRecruitment of attention-controlling systems upon perception of emotional events allows rapid adaptation to potential dangers or beneficial events in environment.
“Recruitment of the attention-controlling systems upon perception of emotional events allows rapid adaptation to potential dangers or beneficial events in the environment (23).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] 23. Vuilleumier P (2005) How brains beware: Neural mechanisms of emotional attention. Trends Cogn Sci 9:585-594. source
Not checked in the free run.
May combine two claims.
Interpretationnone givenThis synchronization of neural time courses across brains may be the critical mechanism that enables mental simulation of other's emotional states and, ultimately, prediction of their intentions and actions.
“this synchronization of neural time courses across brains may be the critical mechanism that enables mental simulation of other's emotional states and, ultimately, prediction of their intentions and actions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningSuch processes might be suppressed during free exploration of environment but may be engaged rapidly in similar manner across individuals when highly relevant social or emotional events are detected.
“Such processes might be suppressed during free exploration of the environment but may be engaged rapidly in a similar manner across individuals when highly relevant social or emotional events are detected.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationKey mechanisms that may support similar emotional processing across individuals are automatic and spatially similar focusing of attention toward emotion-laden stimuli and subsequent mapping of others' emotional states in body and brain.
“The key mechanisms that may support similar emotional processing across individuals are automatic and spatially similar focusing of attention toward emotion-laden stimuli (23) and the subsequent mapping of others' emotional states in the body and brain (9).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [23] 23. Vuilleumier P (2005) How brains beware: Neural mechanisms of emotional attention. Trends Cogn Sci 9:585-594. source
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- cites [9] 9. Hatfield E, Cacioppo J, Rapson RL (1994) Emotional Contagion (Cambridge Univ Press, New York).
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May combine two claims.
InterpretationcitationThese opposite effects on ISC fit with proposed distinction between valence and arousal representations in brain and highlight neurobehavioral functions that emotional arousal and valence may have in human social interaction.
“These opposite effects on ISC fit with the proposed distinction between valence and arousal representations in the brain (31,32) and they also highlight the neurobehavioral functions that emotional arousal and valence may have in human social interaction.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [31] 31. Anderson AK, et al. (2003) Dissociated neural representations of intensity and valence in human olfaction. Nat Neurosci 6:196-202. source
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- cites [32] 32. Posner J, Russell JA, Peterson BS (2005) The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev Psychopathol 17:715-734. source
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May combine two claims.
Interpretationown dataOur results demonstrate that valence and arousal have distinct roles in synchronizing brain activity-and possibly also behavior-across individuals.
“Our results thus demonstrate that valence and arousal have distinct roles in synchronizing brain activity-and possibly also behavior-across individuals.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCatching emotions someone expresses is thought to involve replication of observed emotions in one's own mind and body.
“although catching the emotions someone (here the movie character) expresses is thought to involve replication of observed emotions in one's own mind and body (9)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] 9. Hatfield E, Cacioppo J, Rapson RL (1994) Emotional Contagion (Cambridge Univ Press, New York).
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May combine two claims.
InterpretationreasoningIt is likely that frontocortical synchronization may be triggered both by external events (such as emotions) eliciting prototypical neural and behavioral patterns across individuals and by similarity of endogenously maintained, shared cognitive task sets across individuals.
“However, it is likely that frontocortical synchronization may be triggered both by external events (such as emotions) eliciting prototypical neural and behavioral patterns across individuals and by the similarity of endogenously maintained, shared cognitive task sets across individuals.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningWhen positive emotions are triggered, frontal cortex may not synchronize across individuals, because positive emotions trigger planning of novel, exploratory thoughts and actions that are bound to vary significantly across individuals.
“When positive emotions are triggered, frontal cortex may not synchronize across individuals, because the positive emotions trigger planning of novel, exploratory thoughts and actions that are bound to vary significantly across individuals.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe paper's hypothesis agrees with prior proposals that perceived emotional states in others are continuously mapped into matching somatic and sensory representations in the observer's brain.
“This hypothesis accords with the proposals that perceived emotional states in others are constantly mapped into corresponding somatic and sensory representations in the observers' brain (10,11).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationreasoningVia mind-simulation, people may estimate others' goals and needs more accurately and adjust their own behavior, thereby supporting social interaction and coherence.
“Through this kind of mind-simulation, we may estimate others' goals and needs more accurately and tune our own behavior accordingly, thus supporting social interaction and coherence.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningGaussian filtering accounts for both the HRF delay and autocorrelation of the ISC time series without assuming a particular filter shape.
“Gaussian filtering, on the contrary, accounts for both the HRF delay and autocorrelation of the ISC time series without making any assumptions about the shape of the filter.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataOur data show that restricted processing brought about by negative emotions is reflected in intersubject similarity in time courses of brain activity: The more negative emotions individuals feel, the more similar is their brain activation in emotion circuit as well as in default-mode network, whereas when subjects experience positive emotions promoting free exploration, their brains process thesS
“Our data show that the restricted processing brought about by negative emotions is reflected in the intersubject similarity in time courses of brain activity: The more negative emotions individuals feel, the more similar is their brain activation in the emotion circuit as well as in the default-mode network, whereas when the subjects experience positive emotions promoting free exploration, their b”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationThe data were analyzed using an ISC toolbox developed by Kauppi et al.
“The data were analyzed using an ISC toolbox developed by Kauppi et al. (13).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] 13. Kauppi J-P, Jääskeläinen IP, Sams M, Tohka J (2010) Inter-subject correlation of brain hemodynamic responses during watching a movie: Localization in space and fre- quency. Front Neuroinform 4:5.
Not checked in the free run.
May combine two claims.
Interpretationown dataThe authors propose that high arousal directs individuals' attention similarly to environmental features, while negative valence synchronizes brain circuitries, supporting shared emotional sensations.
“We propose that high arousal serves to direct individuals' attention similarly to features of the environment, whereas negative valence synchronizes brain circuitries, supporting emotional sensations across individuals.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningNegative emotions may trigger specific biologically determined fight-or-flight responses for immediate survival, and this narrowing of behavioral repertoires would result in more similar frontal time courses across individuals.
“On the contrary, negative emotions may trigger specific biologically determined fight-or-flight responses for immediate survival, and this narrowing of behavioral repertoires would result in more similar frontal time courses across individuals.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIt is possible that empathy-contingent ISC in MTG/STS region might reflect this kind of simulation and prediction without feeling.
“Accordingly, it is possible that the empathy-contingent ISC in the MTG/STS region might reflect this kind of simulation and prediction without feeling.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningTo reduce potential confounds from English speech in the movies, the movie clips were presented without sound.
“All participants were native Finnish speakers, and to reduce the potential confounds associated with the English speech in the movies, the movie clips were presented without sound.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductcitationThe video stimuli were chosen based on a validation study of the emotional qualities of silent clips edited from several feature films.
“Most stimuli were selected on the basis of a validation study for the emotional qualities of silent clips edited from several feature films (47).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] 47. Hewig J, et al. (2005) A revised film set for the induction of basic emotions. Cogn Emotion 19:1095-1109.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEmpathy also might be related to mental simulation and prediction of others' feelings without actually sharing them in one's own mind and body.
“empathy also might be related to mental simulation and prediction of others' feelings without actually sharing them in one's own mind and body (46).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] 46. Preston SD, de Waal FBM (2002) Empathy: Its ultimate and proximate bases. Behav Brain Sci, 25:1-20, discussion 20-71. source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductcitationA fully nonparametric voxelwise permutation test for the r statistic was performed to test the statistical significance of the ISC maps.
“To test the statistical significance of the ISC maps, we performed a fully nonparametric voxelwise permutation test for the r statistic (13).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] 13. Kauppi J-P, Jääskeläinen IP, Sams M, Tohka J (2010) Inter-subject correlation of brain hemodynamic responses during watching a movie: Localization in space and fre- quency. Front Neuroinform 4:5.
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationPosterior MTG/STS region has been proposed to encode intentions of an agent's actions and to be associated more broadly with empathy, mentalizing, and theory of mind.
“that has been proposed to encode the intentions of an agent's actions (42,43) and also to be associated more broadly with empathy, mentalizing, and theory of mind (44,45).”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [42] 42. Nummenmaa L, Calder AJ (2009) Neural mechanisms of social attention. Trends Cogn Sci 13:135-143. source
Not checked in the free run.
- cites [43] 43. Pelphrey KA, Viola RJ, McCarthy G (2004) When strangers pass: Processing of mutual and averted social gaze in the superior temporal sulcus. Psychol Sci 15:598-603. source
Not checked in the free run.
- cites [44] 44. Gallagher HL, Frith CD (2003) Functional imaging of 'theory of mind'. Trends Cogn Sci 7:77-83. source
Not checked in the free run.
- cites [45] 45. Frith U, Frith CD (2003) Development and neurophysiology of mentalizing. Philos Trans R Soc Lond B Biol Sci 358:459-473. source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningThis information could be forwarded to attention circuits to modulate sensory sampling of environment as well as to emotion circuits to support transforming observed agent's actions and intentions into corresponding somatosensory and behavioral code in observer.
“This information could be forwarded to the attention circuits to modulate sensory sampling of the environment as well as to emotion circuits to support transforming the observed agent's actions and intentions into a corresponding somatosensory and behavioral code in the observer.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationRatings were collected separately rather than during scanning because a reporting task influences neural responses to visual emotional stimulation.
“Ratings were conducted separately rather than during scanning, because a reporting task influences neural responses to visual emotional stimulation (48,49), but repeated viewing of emotional stimuli has only a negligible effect on self-reported emotional feelings.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [48] 48. Hutcherson CA, et al. (2005) Attention and emotion: Does rating emotion alter neural responses to amusing and sad films? Neuroimage 27:656-668. source
Not checked in the free run.
- cites [49] 49. Lieberman MD, et al. (2007) Putting feelings into words: Affect labeling disrupts amygdala activity in response to affective stimuli. Psychol Sci 18:421-428. source
Not checked in the free run.
- Rests on an assumption: Seeing emotional stimuli again has only a minimal impact on people's reported emotional experiences.
Classified as probably not a substantial claim.
Study design and conductreasoningThis approach accounted for temporal autocorrelations present in the BOLD data.
“This way we could account for temporal autocorrelations present in the BOLD data.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataPermutation testing with circular sampling on the surrogate ratings was conducted to determine the statistical significance level at P < 0.01 (FDR corrected).
“Finally, we conducted permutation testing with circular sampling on the surrogate ratings to determine the statistical significance level at P < 0.01 (FDR corrected).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The FDR-based multiple comparisons correction relies on the P values being independent or positively dependent.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationParticipants' disposition for catching emotions from others was measured with the Measure of Emotional Empathy questionnaire.
“A participant's disposition for catching emotions from others was assessed by the Measure of Emotional Empathy questionnaire (50).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] 50. Mehrabian A, Epstein N (1972) A measure of emotional empathy. J Pers 40:525-543. source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationPrior studies have provided contradicting evidence on whether activity in frontal regions synchronizes across individuals during prolonged natural stimulation.
“Prior studies have provided contradicting evidence on whether the activity in the frontal regions synchronizes across individuals during prolonged natural stimulation (14,15).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [14] 14. Hasson U, Nir Y, Levy I, Fuhrmann G, Malach R (2004) Intersubject synchronization of cortical activity during natural vision. Science 303:1634-1640. source
Not checked in the free run.
- cites [15] 15. Jääskeläinen IP, et al. (2008) Inter-subject synchronization of prefrontal cortex he- modynamic activity during natural viewing. Open Neuroimaging J 2:14-19. source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe authors argue that emotions increase intersubject synchronization of brain activity and thereby tune specific brain networks across people to support similar perception, experience, and prediction of the world.
“We argue that emotions enhance intersubject synchronization of brain activity and thus tune-in specific brain networks across individuals to support similar perception, experiencing, and prediction of the world.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenA fully nonparametric voxelwise permutation test was applied to determine the final population-level statistical threshold (P < 0.01, FDR corrected) for the maps.
“A fully nonparametric voxelwise permutation test was applied to determine the final population-level statistical threshold (P < 0.01, FDR corrected) for the maps.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The FDR-based multiple comparisons correction relies on the P values being independent or positively dependent.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningA Gaussian filter, rather than an ideal hemodynamic response function, was used for alignment because the ISC time series have a complex nonlinear relationship with the BOLD signal, making the canonical HRF inappropriate.
“A Gaussian filter rather than an ideal hemodynamic response function (HRF) was used for alignment, because the ISC time series have a complex nonlinear relationship with the BOLD signal, rendering the canonical HRF inappropriate.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe resulting P values were corrected using FDR-based multiple comparisons correction.
“We corrected the resulting P values using FDR-based multiple comparisons correction with the assumption of independence (or positive dependence).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The FDR-based multiple comparisons correction relies on the P values being independent or positively dependent.
The paper relies on this without support.
The post-scan valence and arousal ratings reflect participants' moment-to-moment emotional states during the initial fMRI viewing.
“After scanning, the participants viewed the movies again and evaluated online their subjective experiences of valence (pleasantnessunpleasantness) and arousal (calmness-activation).”
“These valence and arousal time series then were used in the general linear model (GLM) to predict moment-to-moment ISC of brain activity during movie viewing.”
The paper relies on this without support.
The emotional events in the movie clips resemble real-life social interactions closely enough that findings generalize to social interaction.
“Catching emotions that other humans express-here in dynamic scenes resembling everyday life-is associated with intersubject synchronization of brain circuitries related to emotional, attentional, and mentalizing processes.”
“By enhancing the synchrony of brain activity across individuals, emotions may promote social interaction and facilitate interpersonal understanding.”
The paper relies on this without support.
Seeing emotional stimuli again has only a minimal impact on people's reported emotional experiences.
“repeated viewing of emotional stimuli has only a negligible effect on self-reported emotional feelings.”
The authors state this as an assumption.
The FDR-based multiple comparisons correction relies on the P values being independent or positively dependent.
“with the assumption of independence (or positive dependence).”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Functional brain imaging has established that the primary somatosensory cortices are engaged during emotional perception and emotional contagion.
“Functional brain imaging has established that the primary somatosensory cortices are engaged during emotional perception and emotional contagion (25,26)”
From Bodily maps of emotions (2014) · cites this paper as [25]
The Results and discussion (page unavailable) report that emotional arousal was associated with synchronized activity in the somatosensory cortices during viewing of emotional films. The paper also discusses their activation when people simulate others’ emotions, but it does not identify the affected regions specifically as primary somatosensory cortex or establish their engagement during emotional contagion itself. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThese results support models assuming that somatosensation and embodiment play critical roles in emotional processing.
“These results thus support models assuming that somatosensation (25,27) and embodiment (13,14) play critical roles in emotional processing.”
From Bodily maps of emotions (2014) · cites this paper as [25]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentz > 5.38reported p < .001 · recomputed p < .001
“(Z > 5.38, p < .001”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Self-check results appear here once an independent check has confirmed them.
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Flagged first, then by citations
1 of the 57 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
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“These results thus support models assuming that somatosensation (25, 27) and embodiment (13, 14) play critical roles in emotional processing.”
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“…EEG (Dmochowski et al., 2012, 2014), wavelet transform coherence for fNIRS (Cui et al., 2012; Dommer et al., 2012; Holper et al., 2012; Jiang et al., 2012, 2015; Nozawa et al., 2016; Hu et al., 2017) and adaptationsof phase synchronyfor fMRI (Glerean et al., 2012; Nummenmaa et al., 2014a, 2014b).”
BackgroundMethodInfluentialSimilar neural responses predict friendship
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Centrality of social interaction in human brain function.
Hari, R., Henriksson, L., Malinen, S., & Parkkonen, L. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.022 · Cited by 370 · see citing works
Self-citationBevilacqua, D., Davidesco, I., Wan, L., Chaloner, K., Rowland, J., Ding, M., Poeppel, D., & Dikker, S. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01274 · Cited by 312 · see citing works
“, natural movies) elicit similar brain activity among viewers and emotional responses and, crucially, vary as a function of participants’ attentional engagement (Ki, Kelly, & Parra, 2016; Chang et al., 2015; Nummenmaa et al., 2012; Jääskeläinen et al., 2008; Hasson, Nir, Levy, Fuhrmann, & Malach, 2004).”
InfluentialAudience preferences are predicted by temporal reliability of neural processing
Dmochowski, J., Bezdek, M. A., Abelson, B. P., Johnson, J. S., Schumacher, E. H., & Parra, L. C. (2014) · Nature Communications · doi:10.1038/ncomms5567 · Cited by 301 · see citing works
Prosocial Consequences of Interpersonal Synchrony
Rennung, M., & Göritz, A. S. (2016) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000252 · Cited by 298 · see citing works
“Specifically, synchronization leads to an alignment of one’s own and the interaction partner’s neural representations, thus facilitating communication (Nummenmaa et al., 2012).”
BackgroundPerceptual and affective mechanisms in facial expression recognition: An integrative review
Calvo, M. G., & Nummenmaa, L. (2015) · Cognition & Emotion · doi:10.1080/02699931.2015.1049124 · Cited by 294 · see citing works
“Recent developments in brain signal analysis (Huth, Nishimoto, Vu, & Gallant, 2012; Lahnakoski et al., 2012; Nummenmaa et al., 2012) have enabled quantification of stimulus-specific respon‐ ses even from complex, dynamic and multisensory streams.”
BackgroundSelf-citationIdiosynchrony: From shared responses to individual differences during naturalistic neuroimaging
Finn, E. S., Glerean, E., Khojandi, A., Nielson, D. M., Molfese, P. J., Handwerker, D. A., & Bandettini, P. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116828 · Cited by 277 · see citing works
“Can we use dynamic analyses (Glerean et al., 2012; Simony et al., 2016) to reveal particular time windows where the brain-behavior signal is strongest?”
Self-citationSight over sound in the judgment of music performance
Tsay, C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221454110 · Cited by 261 · see citing works
“Experts were significantly better with video-only stimuli than with sound-only stimuli, t1(61) = 4.”
BackgroundAre We Ready for Real-world Neuroscience?
Matusz, P. J., Dikker, S., Huth, A. G., & Perrodin, C. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_e_01276 · Cited by 220 · see citing works
Attention Strongly Modulates Reliability of Neural Responses to Naturalistic Narrative Stimuli
Ki, J. J., Kelly, S. P., & Parra, L. C. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.2942-15.2016 · Cited by 221 · see citing works
“Inter-subject reliability of neural responses using fMRI has been associated with a variety of higherlevel processes such as memory encoding, emotional valence, language comprehension, temporal integration, level of consciousness, psychological state, or stimulus preference (Furman et al., 2007; Hasson et al., 2008a;…”
BackgroundInteractional synchrony: signals, mechanisms and benefits
Hoehl, S., Fairhurst, M., & Schirmer, A. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa024 · Cited by 231 · see citing works
“Thus, we entertain the possibility that emotions, especially when they are positive, prepare individuals for and facilitate the representation of another’s thoughts, feelings and behaviors including their temporal organization (Keysers et al., 2010; Nummenmaa et al., 2012).”
BackgroundPan, Y., Novembre, G., Song, B., Li, X., & Hu, Y. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.005 · Cited by 201 · see citing works
“similarities reflected in the brain signals of two motorically or perceptually synchronized people, regardless their interactivity (Abrams et al., 2013; Hasson et al., 2008; Nummenmaa et al., 2012).”
Synchronous brain activity across individuals underlies shared psychological perspectives
Lahnakoski, J. M., Glerean, E., Jääskeläinen, I. P., Hyönä, J., Hari, R., Sams, M., & Nummenmaa, L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.022 · Cited by 180 · see citing works
Self-citationMovies and narratives as naturalistic stimuli in neuroimaging
Jääskeläinen, I. P., Sams, M. E., Glerean, E., & Ahveninen, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117445 · Cited by 189 · see citing works
Self-citationInterpersonal Neural Entrainment during Early Social Interaction
Wass, S. V., Whitehorn, M., Haresign, I. M., Phillips, E., & Leong, V. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.01.006 · Cited by 175 · see citing works
Experiential Gifts Foster Stronger Social Relationships Than Material Gifts
Chan, C., & Mogilner, C. (2016) · Journal of Consumer Research · doi:10.1093/jcr/ucw067 · Cited by 182 · see citing works
“…from has highlighted the importance of emotion in close relationships (Aron et al. 2000; Bazzini et al. 2007; Clark and Finkel 2004; Laurenceau et al. 1998; Nummenmaa et al. 2012; Peters and Kashima 2007; Raghunathan and Corfman 2006; Ramanathan and McGill 2007; Slatcher and Pennebaker 2006).”
Toward a general psychological model of tension and suspense
Lehne, M., & Koelsch, S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00079 · Cited by 173 · see citing works
“Similarly, Nummenmaa et al. (2012) have shown that emotional movie scenes are associated with increased intersubject correlations of brain activity.”
BackgroundChang, L. J., Jolly, E., Cheong, J. H., Rapuano, K. M., Greenstein, N., Chen, P.-H. A., & Manning, J. R. (2021) · Science Advances · doi:10.1126/sciadv.abf7129 · Cited by 174 · see citing works
“In this study, we find the highest level of synchronization of vmPFC states at the most emotionally evocative narrative events, which is consistent with work using pupillometry (76) and fMRI (80, 81), indicating that people temporally synchronize mental states at affectively arousing events.”
ResultInter-brain synchrony and cooperation context in interactive decision making
Hu, Y., Pan, Y., Shi, X., Cai, Q., Li, X., & Cheng, X. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.12.005 · Cited by 167 · see citing works
Resistance to treatment and change in anorexia nervosa: a clinical overview
Daga, G. A., Amianto, F., Delsedime, N., Bacco, C. D., & Fassino, S. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-294 · Cited by 178 · see citing works
“Initial findings showed that shared emotions can synchronize brain activity [152]: from a metaanalytic studies of dynamic psychotherapies we now know that they are effective in several mental disorders [153] and that the more they consider affective and emotional aspects the more effective they are [154].”
BackgroundThe Reciprocity of Prosocial Behavior and Positive Affect in Daily Life
Snippe, E., Jeronimus, B. F., Rot, M. A. H., Bos, E. H., de Jonge, P., & Wichers, M. (2017) · Journal of Personality · doi:10.1111/jopy.12299 · Cited by 165 · see citing works
“Prosocial behaviors are typical for mammals, who have brains designed to blur the line between the self and the other, leading to an emotional sensitivity that triggers seemingly altruistic impulses (Nummenmaa et al., 2012).”
BackgroundDikker, S., Michalareas, G., Oostrik, M., Serafimaki, A., Kahraman, H. M., Struiksma, M. E., & Poeppel, D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117436 · Cited by 153 · see citing works
Golland, Y., Arzouan, Y., & Levit-Binnun, N. (2015) · PLOS ONE · doi:10.1371/journal.pone.0125804 · Cited by 152 · see citing works
“Similar results were demonstrated in previous studies, showing that naturalistic movies elicit consistent response patterns in autonomic and brain signals, which become synchronized across individuals [42,49].”
ResultThe brains of high functioning autistic individuals do not synchronize with those of others
Salmi, J., Roine, U., Glerean, E., Lahnakoski, J. M., Wendt, T. N., Tani, P., Leppämäki, S., Nummenmaa, L., Jääskeläinen, I. P., Carlson, S., et al. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.10.011 · Cited by 140 · see citing works
“In future studies, it would be useful to collect for instance dynamic ratings of emotional arousal and valence (Nummenmaa et al., 2012a) and use such information in modeling the brain imaging data collected dur-ingnaturalviewing.”
InfluentialSelf-citationCorrelated Neural Activity across the Brains of Socially Interacting Bats
Zhang, W., & Yartsev, M. M. (2019) · Cell · doi:10.1016/j.cell.2019.05.023 · Cited by 138 · see citing works
“This experiment is analogous to previous studies that found correlated neural activity across the brains of humans watching the same movie (Hasson et al., 2004; Nummenmaa et al., 2012; Nguyen et al., 2019) or listening to the same speech (Schmälzle et al.”
A Guide to Representational Similarity Analysis for Social Neuroscience
Popal, H. S., Wang, Y., & Olson, I. R. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz099 · Cited by 150 · see citing works
“RSAhasalsobeenusedinaffectiveneurosciencetobetterunder-stand the neural representation of emotions and valence (Chika-zoe et al., 2014; Costa et al., 2014; Nummenmaa et al., 2012).”
BackgroundNaturalistic Stimuli in Affective Neuroimaging: A Review
Saarimäki, H. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.675068 · Cited by 133 · see citing works
Coalitions in theory and reality: a review of pertinent variables and processes
Bissonnette, A., Perry, S., Barrett, L., Mitani, J. C., Flinn, M. V., Sergey Gavrilets, B., & de Waal, F. Β. Μ. (2014) · Behaviour · doi:10.1163/1568539x-00003241 · Cited by 146 · see citing works
Emotional speech synchronizes brains across listeners and engages large-scale dynamic brain networks
Nummenmaa, L., Saarimäki, H., Glerean, E., Gotsopoulos, A., Jääskeläinen, I. P., Hari, R., & Sams, M. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.063 · Cited by 129 · see citing works
“It is indeed likely that the prior observations on high arousal synchronizing brain's visual and dorsal attention circuits (Nummenmaa et al., 2012) would reflect emotional visual stimuli that capture visual attention similarly in all individuals (Nummenmaa et al.”
BackgroundMethodResultInfluentialSelf-citationDance on the Brain: Enhancing Intra- and Inter-Brain Synchrony
Basso, J. C., Satyal, M. K., & Rugh, R. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.584312 · Cited by 162 · see citing works
Distributed affective space represents multiple emotion categories across the human brain
Saarimäki, H., Ejtehadian, L. F., Glerean, E., Jääskeläinen, I. P., Vuilleumier, P., Sams, M., & Nummenmaa, L. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy018 · Cited by 146 · see citing works
“, 2004) and emotion-related modulation of this activity (Holmes and Mathews, 2005; Nummenmaa et al., 2012; Kassam et al., 2013).”
BackgroundSelf-citationAbramson, L., Uzefovsky, F., Toccaceli, V., & Knafo‐Noam, A. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.03.023 · Cited by 143 · see citing works
Davies, H. A., Wolz, I., Leppänen, J., Fernández‐Aranda, F., Schmidt, U. H., & Tchanturia, K. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.02.015 · Cited by 142 · see citing works
“…is the visible or non-visible use of facial musculature by an observer to match the facial gestures in another person’s expression (Hess and Bourgeois, 2010), often occurs at an unconscious level and seems to be related to enhancing levels of empathy between recipients (Nummenmaa et al., 2012).”
Reorganization of functionally connected brain subnetworks in high‐functioning autism
Glerean, E., Pan, R. K., Salmi, J., Kujala, R., Lahnakoski, J. M., Roine, U., Nummenmaa, L., Leppämäki, S., Wendt, T. N., Tani, P., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.23084 · Cited by 122 · see citing works
“As some of the areas of DM have been reported to be involved in social cognition, experienced emotions, and self-referential processing in healthy subjects [Gusnard et al., 2001; Mars et al., 2012; Nummenmaa et al., 2012] and in individuals with ASD [Gotts et al.”
Self-citationEEG Correlates of Ten Positive Emotions
Hu, X., Yu, J., Song, M., Yu, C., Wang, F., Sun, P., Wang, D., & Zhang, D. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00026 · Cited by 132 · see citing works
The emergence of empathy: A developmental neuroscience perspective
Jean Decety, A., & Holvoet, C. (2021) · Developmental Review · doi:10.1016/j.dr.2021.100999 · Cited by 134 · see citing works
Neural signatures of attentional engagement during narratives and its consequences for event memory
Song, H., Finn, E. S., & Rosenberg, M. D. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2021905118 · Cited by 122 · see citing works
Brain and motor synchrony in children and adolescents with ASD—a fNIRS hyperscanning study
Kruppa, J. A., Reindl, V., Gerloff, C., Weiß, E. O., Prinz, J., Herpertz‐Dahlmann, B., Konrad, K., & Schulte‐Rüther, M. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa092 · Cited by 120 · see citing works
“, 2014) or watching the same movie clip (Nummenmaa et al., 2012).”
BackgroundSharing the social world via intersubject neural synchronisation
Nummenmaa, L., Lahnakoski, J. M., & Glerean, E. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.02.021 · Cited by 119 · see citing works
Self-citationEmotional valence modulates the topology of the parent-infant inter-brain network
Santamaria, L., Noreika, V., Georgieva, S., Clackson, K., Wass, S. V., & Leong, V. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116341 · Cited by 127 · see citing works
Cognitive, affective, and conative theory of mind (ToM) in children with traumatic brain injury
Dennis, M., Simić, N., Bigler, E. D., Abildskov, T. J., Agostino, A., Taylor, H. G., Rubin, K. H., Vannatta, K. A., Gerhardt, C. A., Stancin, T., et al. (2012) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2012.11.006 · Cited by 127 · see citing works
Movement-based embodied contemplative practices: definitions and paradigms
Schmalzl, L., Crane-Godreau, M. A., & Payne, P. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00205 · Cited by 124 · see citing works
Intersubject consistency of cortical MEG signals during movie viewing
Lankinen, K., Saari, J., Hari, R., & Koskinen, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.004 · Cited by 107 · see citing works
“03–1 Hz band included activity in PFC that could reflect emotional engagement to the movie (Jääskeläinen et al., 2008; Kauppi et al., 2010; Nummenmaa et al., 2012; Pamilo et al., 2012).”
InfluentialSelf-citationKoelsch, S., & Skouras, S. (2013) · Human Brain Mapping · doi:10.1002/hbm.22416 · Cited by 114 · see citing works
“Other functional neuroimaging studies using films [Goldin et al., 2005; Hasson et al., 2004; Nummenmaa et al., 2012], music [Lehne et al., in press], or a story [Wallentin et al., 2011] have used even longer stimuli (up to 30 min, [Hasson et al., 2004]), but to achieve a sufficient statistical…”
BackgroundMethodInfluentialChen, P.-H. A., Jolly, E., Cheong, J. H., & Chang, L. J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116851 · Cited by 106 · see citing works
Social cognition in context: A naturalistic imaging approach
Redcay, E., & Moraczewski, D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116392 · Cited by 99 · see citing works
“Naturalistic approaches are critical to understanding empathic processes because emotions unfold over time and demonstrate moment-tomoment changes (Cunningham et al., 2013; McMenamin et al., 2014; Nummenmaa et al., 2012; Zaki and Ochsner, 2009; Zaki et al., 2009).”
BackgroundHow Many Is Enough? Effect of Sample Size in Inter-Subject Correlation Analysis of fMRI
Pajula, J., & Tohka, J. (2016) · Computational Intelligence and Neuroscience · doi:10.1155/2016/2094601 · Cited by 93 · see citing works
“Due to high computational demands of the analysis, we chose to only consider fMRI time series of certain length albeit the minimal length of the time series is an important consideration especially to the so-called time-window ISC analysis [2, 35].”
BackgroundSynchrony of brains and bodies during implicit interpersonal interaction
Hari, R., Himberg, T., Nummenmaa, L., Hämäläinen, M., & Parkkonen, L. T. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.01.003 · Cited by 105 · see citing works
“3 Nummenmaa, L. et al. (2012) Emotions promote social interaction by synchronizing brain activity across individuals.”
BackgroundSelf-citationTen challenges for EEG-based affective computing
Hu, X., Chen, J., Wang, F., & Zhang, D. (2019) · Brain Science Advances · doi:10.1177/2096595819896200 · Cited by 124 · see citing works
“However, obtaining such dynamic labels by subjective reports could be labor-intensive and time consuming [74, 84] and automatic tagging using internet-based crowdsourcing methods [85–87] or information from other modalities (e.”
BackgroundTemporal dynamics of musical emotions examined through intersubject synchrony of brain activity
Trost, W. J., Frühholz, S., Cochrane, T., Cojan, Y., & Vuilleumier, P. O. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv060 · Cited by 109 · see citing works
“Future studies correlating brain activity with the time-course of these features may provide additional information on the latter question (Chapin et al., 2010; Alluri et al., 2011; Nummenmaa et al., 2012).”
BackgroundData-driven approaches in the investigation of social perception
Adolphs, R., Nummenmaa, L., Todorov, A. T., & Haxby, J. V. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0367 · Cited by 94 · see citing works
Self-citationChen, G., Shin, Y., Taylor, P. A., Glen, D., Reynolds, R. C., Israel, R. B., & Cox, R. W. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.023 · Cited by 92 · see citing works
Founder passion, neural engagement and informal investor interest in startup pitches: An fMRI study
Shane, S. A., Drover, W., Clingingsmith, D. L., & Cerf, M. (2019) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2019.105949 · Cited by 108 · see citing works
The brain timewise: how timing shapes and supports brain function
Hari, R., & Parkkonen, L. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0170 · Cited by 98 · see citing works
Self-citationA Future of Words: Language and the Challenge of Abstract Concepts
Borghi, A. M. (2020) · Journal of Cognition · doi:10.5334/joc.134 · Cited by 99 · see citing works
Emotionotopy in the human right temporo-parietal cortex
Lettieri, G., Handjaras, G., Ricciardi, E., Leo, A., Papale, P., Betta, M., Pietrini, P., & Cecchetti, L. (2019) · Nature Communications · doi:10.1038/s41467-019-13599-z · Cited by 96 · see citing works
Sharing pain and relief: neural correlates of physicians during treatment of patients
Jensen, K. B., Petrović, P., Kerr, C. E., Kirsch, I., Raicek, J., Cheetham, A., Spaeth, R. B., Cook, A., Gollub, R. L., Kong, J., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.195 · Cited by 101 · see citing works
Information flow across the cortical timescale hierarchy during narrative construction
Chang, C. H. C., Nastase, S. A., & Hasson, U. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2209307119 · Cited by 92 · see citing works
“Story length, the number of participants, their level of engagement (48, 49), and, as our simulation indicates, the temporal structure of the story—including the length of interparagraph pauses, speech rate, and the mean and variance of linguistic/narrative unit lengths (SI Appendix, Fig.”
BackgroundThe co-creation of meaningful action: bridging enaction and interactional sociology
Jaegher, H. D., Peräkylä, A., & Stevanovic, M. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0378 · Cited by 98 · see citing works
Studying the dynamics of autonomic activity during emotional experience
Golland, Y., Keissar, K., & Levit‐Binnun, N. (2014) · Psychophysiology · doi:10.1111/psyp.12261 · Cited by 92 · see citing works
“These results are in line with a recent brain imaging study, which showed that emotional arousal enhanced the across-individual synchronization of widespread brain activity (Nummenmaa et al., 2012).”
BackgroundMethodResultThe causal role of the somatosensory cortex in prosocial behaviour
Gallo, S., Paracampo, R., Müller‐Pinzler, L., Severo, M. C., Blömer, L. A., Fernandes-Henriques, C., Henschel, A., Lammes, B. K., Maskaljunas, T., Suttrup, J., et al. (2018) · eLife · doi:10.7554/elife.32740 · Cited by 82 · see citing works
“…the somatosensory cortices (SI and SII) are also recruited (Bufalari et al., 2007; Cheng et al., 2008; Keysers and Gazzola, 2009; Lamm et al., 2011; Nummenmaa et al., 2012; Morrison et al., 2013; Ashar et al., 2017; Christov-Moore and Iaco- boni, 2016) and consequently included in the network of…”
BackgroundJerath, R., & Beveridge, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01980 · Cited by 98 · see citing works
Nguyen, V. T., Breakspear, M. J., Hu, X., & Guo, C. C. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.078 · Cited by 90 · see citing works
“In our findings, the selective tuning of the insula to the emotional prosody of the film, and of the PPA to narration provides a firm validation, highlighting the benefit of a naturalistic experiment paradigm to study emotion in an ecological setting environment (Hasson et al., 2004; Nummenmaa et al., 2012).”
BackgroundGruskin, D. C., Rosenberg, M. D., & Holmes, A. J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116217 · Cited by 82 · see citing works
Emotional Transfer in Human–Horse Interaction: New Perspectives on Equine Assisted Interventions
Scopa, C., Contalbrigo, L., Greco, A., Lanatà, A., Scilingo, E. P., & Baragli, P. (2019) · Animals · doi:10.3390/ani9121030 · Cited by 90 · see citing works
“From the body-to-body contact (the most immediate aspect of interaction) up to the emotional transfer (the sophisticated process of connecting individuals through emotions), horses and humans became able to coordinate physiological activities through bonding, which subsequently increased the similarity in the way both…”
BackgroundFrom Vivaldi to Beatles and back: Predicting lateralized brain responses to music
Alluri, V., Toiviainen, P., Lund, T. E., Wallentin, M., Vuust, P., Nandi, A. K., Ristaniemi, T., & Brattico, E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.064 · Cited by 84 · see citing works
“Previous studies including movie watching (Hasson et al., 2004; Nummenmaa et al., 2012) suggest that higher inter-subject correlation might be a prerequisite for mutual understanding between individuals in social situation.”
Two social brains: neural mechanisms of intersubjectivity
Vogeley, K. T. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0245 · Cited by 85 · see citing works
Sympathetic Nervous System Synchrony in Couple Therapy
Tourunen, A., Kykyri, V., Kaartinen, J., Penttonen, M., & Seikkula, J. (2016) · Journal of Marital and Family Therapy · doi:10.1111/jmft.12152 · Cited by 87 · see citing works
“It has been shown that even brain area networks synchronize with people who are watching similar emotional events (Nummenmaa et al., 2012).”
BackgroundDecoding Music-Evoked Emotions in the Auditory and Motor Cortex
Putkinen, V., Nazari‐Farsani, S., Seppälä, K., Karjalainen, T., Sun, L., Karlsson, H. K., Hudson, M., Heikkilä, T., Hirvonen, J., & Nummenmaa, L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa373 · Cited by 87 · see citing works
Self-citationA Multimodal Theory of Affect Diffusion.
Peters, K., & Kashima, Y. (2015) · Psychological bulletin · doi:10.1037/bul0000020 · Cited by 63 · see citing works
Associations between glucocorticoids and sociality across a continuum of vertebrate social behavior
Raulo, A., & Dantzer, B. (2018) · Ecology and Evolution · doi:10.1002/ece3.4059 · Cited by 78 · see citing works
“For example, human stress responses in emergency situations may be highly contagious (Buchanan & Preston, 2014) and excitement may synchronize human brain activity (Nummenmaa et al., 2012).”
BackgroundA versatile software package for inter-subject correlation based analyses of fMRI
Kauppi, J.-P., Pajula, J., & Tohka, J. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00002 · Cited by 70 · see citing works
“Nummenmaa et al. (2012) used the time window ISC (which they call moment-to-moment ISC) to analyze how ISC is associated with events that elicit emotions in movies.”
BackgroundMethodInfluentialWords have a weight: language as a source of inner grounding and flexibility in abstract concepts
Dove, G., Barca, L., Tummolini, L., & Borghi, A. M. (2022) · Psychological Research · doi:10.1007/s00426-020-01438-6 · Cited by 80 · see citing works
“For example, studies adopting these approaches directly investigate emotions in interactive contexts (Nummenmaa et al., 2012)”
BackgroundMeasuring shared responses across subjects using intersubject correlationPreprint
Nastase, S. A., Gazzola, V., Hasson, U., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/600114 · Cited by 81 · see citing works
Multiple-Brain Connectivity During Third Party Punishment: an EEG Hyperscanning Study
Ciaramidaro, A., Toppi, J., Casper, C., Freitag, C. M., Siniatchkin, M., & Laura Astolfi, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-24416-w · Cited by 69 · see citing works
Guo, C. C., Nguyen, V. T., Hyett, M. P., Parker, G. B., & Breakspear, M. J. (2015) · Scientific Reports · doi:10.1038/srep11605 · Cited by 70 · see citing works
Kätsyri, J., Hari, R., Ravaja, N., & Nummenmaa, L. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00278 · Cited by 77 · see citing works
Self-citationEmotions amplify speaker–listener neural alignment
Smirnov, D., Saarimäki, H., Glerean, E., Hari, R., Sams, M., & Nummenmaa, L. (2019) · Human Brain Mapping · doi:10.1002/hbm.24736 · Cited by 71 · see citing works
Self-citationMusic Performance As an Experimental Approach to Hyperscanning Studies
Acquadro, M., Congedo, M., & Riddeer, D. D. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00242 · Cited by 71 · see citing works
Ding, Y., Hu, X., Xia, Z., Liu, Y.-J., & Zhang, D. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2849758 · Cited by 66 · see citing works
“…a group of participants, rather than individual’s response magnitude. fMRI studies have found that ISCs over sensory and higher-order cortices were significantly correlated with auditory and visual perception, speech engagement, as well as emotional dimensions of arousal and valence [33], [34].”
BackgroundMethodInfluentialThe Embodied-Enactive-Interactive Brain: Bridging Neuroscience and Creative Arts Therapies
Vaisvaser, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.634079 · Cited by 76 · see citing works
Dynamic intersubject neural synchronization reflects affective responses to sad music
Sachs, M. E., Habibi, A., Damásio, A. R., & Kaplan, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116512 · Cited by 71 · see citing works
Synchronized affect in shared experiences strengthens social connection
Cheong, J. H., Molani, Z., Sadhukha, S., & Chang, L. J. (2023) · Communications Biology · doi:10.1038/s42003-023-05461-2 · Cited by 75 · see citing works
“This is congruent with growing evidence that synchronization of neural response patterns can provide direct evidence of shared interpretations 77,78 , memories 79 , and segmentations 80 of narrative events with respect to varying goals 81 and feelings 9,15,16,82 .”
Pupillometry reveals reduced unconscious emotional reactivity in autism
Nuske, H. J., Vivanti, G., Hudry, K., & Dissanayake, C. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.07.003 · Cited by 72 · see citing works
“It is through the transfer of emotions and emotional arousal between people that relationships are built (Malloch & Trevarthen, 2009; Nummenmaa et al., 2012; Stern, 2010; Tomasello, Carpenter, Call, Behne, & Moll, 2005).”
BackgroundSchilbach, L., & Redcay, E. (2025) · Annual Review of Psychology · doi:10.1146/annurev-psych-080123-101149 · Cited by 71 · see citing works
When do we fall in neural synchrony with others?
Lu, K., & Hao, N. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz012 · Cited by 65 · see citing works
Neural Profiling of Brands: Mapping Brand Image in Consumers’ Brains with Visual Templates
Chan, H., Boksem, M. A. S., & Smidts, A. (2018) · Journal of Marketing Research · doi:10.1509/jmr.17.0019 · Cited by 64 · see citing works
“2015), movies (Hasson, Malach, and Heeger 2010), and video clips (Nummenmaa et al. 2012).”
BackgroundCortical response to naturalistic stimuli is largely predictable with deep neural networks
Khosla, M., Ngo, G. H., Jamison, K. W., Kuceyeski, A. F., & Sabuncu, M. R. (2021) · Science Advances · doi:10.1126/sciadv.abe7547 · Cited by 58 · see citing works
Independent and Collaborative Contributions of the Cerebral Hemispheres to Emotional Processing
Shobe, E. R. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00230 · Cited by 63 · see citing works
Consistency and similarity of MEG- and fMRI-signal time courses during movie viewing
Lankinen, K., Saari, J., Hlushchuk, Y., Tikka, P., Parkkonen, L. T., Hari, R., & Koskinen, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.045 · Cited by 58 · see citing works
“, 2004) that has been used for assessing the reliability and consistency of voxel-wise fMRI time courses during movie viewing (see e.g. J€a€askel€ainen et al., 2008; Golland et al., 2007; Kauppi et al., 2010, 2017; Nummenmaa et al., 2012; Lahnakoski et al., 2012).”
MethodResultSelf-citationEffects of spatial smoothing on inter-subject correlation based analysis of FMRI
Pajula, J., & Tohka, J. (2014) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2014.06.001 · Cited by 51 · see citing works
“[39] 1115 J.”
Zheng, J., Sun, X., Hu, J., Wang, S., Yao, Z., Deng, S., Pan, X., Pan, Z., & Wang, J. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c13236 · Cited by 63 · see citing works
- Authors
- Nummenmaa, L., Glerean, E., Viinikainen, M., Jääskeläinen, I. P., Hari, R., & Sams, M.
- Affiliations
- Turku PET Centre (FI)
- Aalto University (FI)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2012-05-23
- Volume
- 109
- Issue
- 24
- Pages
- 9599-9604
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3386135
- OpenAlex
- W2114016387
- Cited by
- 538
- References
- 57
- Citations by year
- 2026: 39 · 2025: 46 · 2024: 45 · 2023: 54 · 2022: 30 · 2021: 48 · 2020: 52 · 2019: 59 · 2018: 29 · 2017: 31 · 2016: 30 · 2015: 29 · 2014: 25 · 2013: 19 · 2012: 2
- FWCI
- 36.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Aalto-Yliopisto (138145, 131483)
- FP7 Ideas: European Research Council (232946)
- Topics
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- inter-subject correlation, neuronal synchronization, emotion perception, emotional valence, emotional arousal, social interaction, default mode network, attentional networks, corticolimbic circuits, interpersonal understanding, shared emotions
- MeSH terms
- Brain, Emotions, Humans, Interpersonal Relations, Magnetic Resonance Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-09-30.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-30.
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