The default mode network: where the idiosyncratic self meets the shared social world
Open accessAbstract
The default mode network (DMN) is classically considered an ‘intrinsic’ system, specializing in internally oriented cognitive processes such as daydreaming, reminiscing and future planning. In this Perspective, we suggest that the DMN is an active and dynamic ‘sense-making’ network that integrates incoming extrinsic information with prior intrinsic information to form rich, context-dependent models of situations as they unfold over time. We review studies that relied on naturalistic stimuli, such as stories and movies, to demonstrate how an individual’s DMN neural responses are influenced both by external information accumulated as events unfold over time and by the individual’s idiosyncratic past memories and knowledge. The integration of extrinsic and intrinsic information over long timescales provides a space for negotiating a shared neural code, which is necessary for establishing shared meaning, shared communication tools, shared narratives and, above all, shared communities and social networks. The role of the default mode network (DMN) is unclear. In this Perspective, Yeshurun, Nguyen and Hasson review evidence that the DMN integrates extrinsic inputs with intrinsic information over long timescales, enabling it to represent meaning in a way that can be shared between individuals.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 76 cited sources checked · 0 supported · 0 flagged
- Interpretationreasoning
The default mode network should not be considered an intrinsic system that is active only during internally oriented or stimulus-independent processes.
“Therefore, the DMN should not be considered an intrinsic system active only during internally oriented or stimulus-independent processes.”
Quote in the paperSubstantial claim - Interpretationreasoning
The default mode network is sensitive to long-term memories.
“The DMN is sensitive to long-term memories.”
Quote in the paperNot a substantial claim - Interpretationreasoning
An individual's default mode network neural responses are shaped by external information that accumulates as events unfold over time.
“to demonstrate how an individual’s DMN neural responses are influenced both by external information accumulated as events unfold over time and by the individual’s idiosyncratic past memories and knowledge.”
Quote in the paperSubstantial claim - Interpretationreasoning
Integrating extrinsic and intrinsic information over long timescales creates a space for negotiating a shared neural code that is necessary for shared meaning, communication tools, narratives, and communities.
“The integration of extrinsic and intrinsic information over long timescales provides a space for negotiating a shared neural code, which is necessary for establishing shared meaning, shared communication tools, shared narratives and, above all, shared communities and social networks.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The default mode network should not be considered an extrinsic system that is sensitive only to incoming sensory information.
“Therefore, the DMN should not be considered an extrinsic system, sensitive only to incoming sensory information.”
Quote in the paperSubstantial claim
- Premisecitation
Greater similarity in the interpretation of an ambiguous shape animation is associated with greater similarity in neural response in default mode network regions across participants.
“Greater similarity in the interpretation of the ambiguous shape animation (as reported by each of the participants) was associated with greater similarity in neural response in DMN regions across participants.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [37] Nguyen, M., Vanderwal, T. & Hasson, U. Shared understanding of narratives is correlated with shared neural responses. NeuroImage 184, 161–170 (2019). source
Not checked in the free run.
- Premisecitation
Standard within-brain functional connectivity analysis cannot distinguish subtle task-related fluctuations in connectivity across conditions such as rest, scrambled words, and an intact story.
“This analysis, although effective in outlining the anatomical boundaries of the DMN, is unable to distinguish subtle task-related fluctuations in connectivity across various experimental conditions including, for example, lying at rest in a scanner, listening to a list of scrambled words and listening to an intact story several minutes long24–26”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [24] Honey, C. J. et al. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl Acad. Sci. USA 106, 2035–2040 (2009). source
Not checked in the free run.
- cites [25] Greicius, M. D., Supekar, K., Menon, V. & Dougherty, R. F. Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb. Cortex 19, 72–78 (2009). source
Not checked in the free run.
- cites [26] Simony, E. et al. Dynamic reconfiguration of the default mode network during narrative comprehension. Nat. Commun. 7, 12141 (2016). source
Not checked in the free run.
- Interpretationcitation
Attention alone cannot account for the default mode network results described in the paper.
“Crucially, although attention can modulate responses in the DMN, it cannot, in isolation, account for the results described above.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Chen, J. et al. Shared memories reveal shared structure in neural activity across individuals. Nat. Neurosci. 20, 115–125 (2016). source
Not checked in the free run.
- Interpretationcitation
Default mode network responses are modulated by prior beliefs.
“DMN responses are modulated by prior beliefs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Yeshurun, Y. et al. Same story, different story: the neural representation of interpretive frameworks. Psychological Sci. 28, 307–319 (2017). source
Not checked in the free run.
- Interpretationcitation
The default mode network is modulated by attention.
“Evidence suggests that the DMN is also modulated by attention.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [42] Schmälzle, R., Häcker, F. E. K., Honey, C. J. & Hasson, U. Engaged listeners: shared neural processing of powerful political speeches. Soc. Cognit. Affect. Neurosci. 10, 1137–1143 (2015). source
Not checked in the free run.
- cites [43] Cohen, S. S. & Parra, L. C. Memorable audiovisual narratives synchronize sensory and supramodal neural responses. eNeuro https://doi.org/10.1523/ENEURO.0203-16.2016 (2016). source
Not checked in the free run.
- cites [44] Ki, J. J., Kelly, S. P. & Parra, L. C. Attention strongly modulates reliability of neural responses to naturalistic narrative stimuli. J. Neurosci. 36, 3092–3101 (2016). source
Not checked in the free run.
- Premisecitation
A small change to a stimulus that changes its interpretation produces increasingly large differences in neural responses across the timescale hierarchy.
“a relatively small change to the stimulus can produce increasingly large differences in neural responses across the timescale hierarchy when it changes the interpretation of the stimulus.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Yeshurun, Y., Nguyen, M. & Hasson, U. Amplification of local changes along the timescale processing hierarchy. Proc. Natl Acad. Sci. USA 114, 9475–9480 (2017). source
Not checked in the free run.
- Premisecitation
The default mode network is involved in updating schemas when events violate expectations or are inconsistent with the established schema.
“Moreover, the DMN was found to be involved in updating schemas when events violated expectations or were inconsistent with the established schema65,66”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [65] Brandman, T., Malach, R. & Simony, E. The surprising role of the default mode network. Preprint at bioRxiv http://biorxiv.org/lookup/doi/10.1101/2020.05.18.101758 (2020). source
Not checked in the free run.
- cites [66] Dohmatob, E., Dumas, G. & Bzdok, D. Dark control: the default mode network as a reinforcement learning agent. Hum. Brain Mapp. 41, 3318–3341 (2020). source
Not checked in the free run.
- Interpretationnone given
Activity in the default mode network is modulated by incoming external information that is integrated over many seconds to many minutes.
“First, we propose that activity in the DMN is modulated by incoming external information (top arrow in Fig. 1a), which is integrated over many seconds to many minutes (horizontal arrow in Fig. 1a).”
Quote in the paperNot a substantial claim - Premisecitation
Temporal receptive windows are short in sensory areas and become gradually longer towards higher-order areas.
“TRWs are short in sensory areas and become gradually longer towards higher-order areas.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [20] Hasson, U., Yang, E., Vallines, I., Heeger, D. J. & Rubin, N. A hierarchy of temporal receptive windows in human cortex. J. Neurosci. 28, 2539–2550 (2008). source
Not checked in the free run.
- cites [21] Lerner, Y., Honey, C. J., Silbert, L. J. & Hasson, U. Topographic mapping of a hierarchy of temporal receptive windows using a narrated story. J. Neurosci. 31, 2906–2915 (2011). source
Not checked in the free run.
- Interpretationnone given
Default mode network activity is affected by an individual's long-term memories, schemas, and belief systems acquired over years.
“We next review research demonstrating how the activity in the DMN is affected not only by external events unfolding over many minutes but also by an individual’s long-term memories, schemas and belief systems acquired over the years (Fig. 1a).”
Quote in the paperNot a substantial claim - Interpretationreasoning
The interplay between extrinsic and intrinsic forces provides a mechanism for negotiating a shared neural code that facilitates learning and communication through shared common ground.
“This unique interplay between the extrinsic and intrinsic forces provides a mechanism for negotiating a shared neural code to facilitate learning and communication via shared common ground.”
Quote in the paperNot a substantial claim - Premisecitation
Studies using naturalistic stimuli have identified a topographical hierarchy of processing timescales that extends from early sensory cortex to higher-order areas including the default mode network.
“Studies using naturalistic stimuli have identified a topographical hierarchy of processing timescales extending from early sensory cortex to higher-order areas including the DMN7,20–23.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [7] Konishi, M., McLaren, D. G., Engen, H. & Smallwood, J. Shaped by the past: the default mode network supports cognition that is independent of immediate perceptual input. PLoS ONE 10, e0132209 (2015). source
Not checked in the free run.
- cites [20] Hasson, U., Yang, E., Vallines, I., Heeger, D. J. & Rubin, N. A hierarchy of temporal receptive windows in human cortex. J. Neurosci. 28, 2539–2550 (2008). source
Not checked in the free run.
- cites [21] Lerner, Y., Honey, C. J., Silbert, L. J. & Hasson, U. Topographic mapping of a hierarchy of temporal receptive windows using a narrated story. J. Neurosci. 31, 2906–2915 (2011). source
Not checked in the free run.
- cites [22] Hubel, D. H. Eye, Brain, and Vision (Scientific American Library, 1988).
Not checked in the free run.
- cites [23] Ames, D. L., Honey, C. J., Chow, M. A., Todorov, A. & Hasson, U. Contextual alignment of cognitive and neural dynamics. J. Cogn. Neurosci. 27, 655–664 (2014). source
Not checked in the free run.
- Interpretationreasoning
An individual's default mode network neural responses are shaped by that person's idiosyncratic past memories and knowledge.
“to demonstrate how an individual’s DMN neural responses are influenced both by external information accumulated as events unfold over time and by the individual’s idiosyncratic past memories and knowledge.”
Quote in the paperSubstantial claim - Interpretationreasoning
The default mode network functions as an active, dynamic sense-making system that combines incoming extrinsic information with prior intrinsic information across long timescales to construct context-dependent models of unfolding situations.
“we suggest that the DMN is an active and dynamic ‘sense-making’ network that integrates incoming extrinsic information with prior intrinsic information to form rich, context-dependent models of situations as they unfold over time.”
- Also stated in: § An active sense-making network · hedged
“we suggest that the DMN is an active and dynamic sense-making network that integrates incoming extrinsic social information with prior intrinsic information to form rich, context-dependent models of the situation as they unfold over time.”
Quote in the paperSubstantial claim - Also stated in: § An active sense-making network · hedged
- Premisecitation
At the apex of the processing hierarchy, the default mode network's neural response to each sentence is influenced by prior information accumulated over many minutes.
“At the apex of the processing hierarchy, the neural response of the DMN to each sentence is influenced by prior information accumulated over many minutes15,20,21,23.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [15] Hasson, U., Chen, J. & Honey, C. J. Hierarchical process memory: memory as an integral component of information processing. Trends Cogn. Sci. 19, 304–313 (2015). source
Not checked in the free run.
- cites [20] Hasson, U., Yang, E., Vallines, I., Heeger, D. J. & Rubin, N. A hierarchy of temporal receptive windows in human cortex. J. Neurosci. 28, 2539–2550 (2008). source
Not checked in the free run.
- cites [21] Lerner, Y., Honey, C. J., Silbert, L. J. & Hasson, U. Topographic mapping of a hierarchy of temporal receptive windows using a narrated story. J. Neurosci. 31, 2906–2915 (2011). source
Not checked in the free run.
- Premisecitation
Instantiation and reinstatement of schemas are mediated by interaction among default mode network regions: ventromedial prefrontal cortex, precuneus, bilateral temporoparietal junction, and hippocampus.
“Neuroimaging studies suggest that instantiation and reinstatement of schemas are mediated by the interaction among regions within the DMN — namely, the ventromedial prefrontal cortex, precuneus, bilateral temporoparietal junction and hippocampus63.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [63] Gilboa, A. & Marlatte, H. Neurobiology of schemas and schema-mediated memory. Trends Cogn. Sci. 21, 618–631 (2017). source
Not checked in the free run.
- Premisecitation
In a study where two groups were biased with different contextual information before hearing the same story, default mode network regions showed stronger alignment of neural responses within a group sharing an interpretation than between groups with differing interpretations.
“DMN regions showed stronger alignment of neural responses within a group that shared an interpretation than between groups with differing interpretations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Yeshurun, Y. et al. Same story, different story: the neural representation of interpretive frameworks. Psychological Sci. 28, 307–319 (2017). source
Not checked in the free run.
- Interpretationreasoning
When people perceive and act differently in the same situation, their DMN representations must differ.
“Thus, DMN representations must differ between people who perceive and act differently in a given situation.”
Quote in the paperSubstantial claim- Rests on an assumption: Across contexts, the same situation can carry very different meanings tied to different actions.
- Premisecitation
Classification analysis showed that similarities in default mode network responses between movie viewers, the speaker, and listeners were scene-specific and invariant to low-level sensory features, suggesting that these shared responses reflected the transmission of information.
“Classification analysis showed that similarities in the DMN responses between the movie viewers, the speaker and the listeners were scene-specific and invariant to low-level sensory features (such as differences between the audiovisual movie and its spoken description), suggesting that these shared responses reflected the transmission of information.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Zadbood, A., Chen, J., Leong, Y. C., Norman, K. A. & Hasson, U. How we transmit memories to other brains: constructing shared neural representations via communication. Cereb. Cortex 27, 4988–5000 (2017). source
Not checked in the free run.
- Interpretationreasoning
What we do, remember and tell also shapes the thoughts, feelings and actions of those connected to us.
“At the same time, our actions, memories and stories shape and influence the thoughts, feelings and actions of the people to whom we are connected.”
Quote in the paperSubstantial claim - Premisecitation
Groups completing complex, real-life tasks that require goal-directed coordination show increased neural alignment during periods of heightened coordination and communication.
“Other work has focused on groups of individuals completing complex, real-life tasks that require substantial goal-directed coordination among group members102–106, finding increased neural alignment — both spatial and temporal — during periods of the task that required heightened coordination and communication.”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [102] Astolfi, L. et al. Imaging the social brain by simultaneous hyperscanning during subject interaction. IEEE Intell. Syst. 26, 38–45 (2011). source
Not checked in the free run.
- cites [103] Stevens, R. H. & Galloway, T. L. Modeling the neurodynamic organizations and interactions of teams. Soc. Neurosci. 11, 123–139 (2016). source
Not checked in the free run.
- cites [104] Dodel, S. et al. in Foundations of Augmented Cognition. Directing the Future of Adaptive Systems (eds Schmorrow, D. D. & Fidopiastis, C. M.) 288–297 (Springer, 2011).
Not checked in the free run.
- cites [105] Fishburn, F. A. et al. Putting our heads together: interpersonal neural synchronization as a biological mechanism for shared intentionality. Soc. Cogn. Affect. Neurosci. 13, 841–849 (2018). source
Not checked in the free run.
- cites [106] Yang, J., Zhang, H., Ni, J., De Dreu, C. K. W. & Ma, Y. Within-group synchronization in the prefrontal cortex associates with intergroup conflict. Nat. Neurosci. 23, 754–760 (2020). source
Not checked in the free run.
- Interpretationown data
The tight alignment between a speaker and their audience may reveal the mechanism by which people share their idiosyncratic perspectives and memories with other brains that never directly experienced them.
“This tight alignment between the speaker and their audience may reveal the mechanism by which we share our idiosyncratic perspectives and memories with other brains who never directly experienced them.”
Quote in the paperSubstantial claim - Interpretationnone given
Throughout the day, default mode network neural responses are shaped by the actions and gestures of other social agents.
“Throughout the day, DMN neural responses are shaped by the actions and gestures of other social agents.”
Quote in the paperNot a substantial claim - Premisecitation
An electroencephalography study found elevated coupling in the default mode network between romantic dyads and unacquainted dyads during mutual gaze and smiling.
“Another electroencephalography study tested neural alignment between romantic dyads and unacquainted dyads, and found elevated coupling in the DMN during mutual gaze and smiling107.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [107] Kinreich, S., Djalovski, A., Kraus, L., Louzoun, Y. & Feldman, R. Brain-to-brain synchrony during naturalistic social interactions. Sci. Rep. 7, 17060 (2017). source
Not checked in the free run.
- Interpretationreasoning
The evidence reviewed suggests that default mode network activity is neither solely intrinsic nor solely extrinsic.
“The evidence reviewed in this Perspective suggests that activity in the DMN is neither solely intrinsic nor solely extrinsic.”
Quote in the paperSubstantial claim - Premisecitation
People who are socially closer show greater similarity in their neural responses to narratives compared with those who are less close.
“A striking recent study117,118 mapped the close-knit social network of a class of students at a business school and found that pairs of people who have closer social relationships have more similar neural responses to narratives than do pairs of people who are less close (Fig. 4d).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [117] Parkinson, C., Kleinbaum, A. M. & Wheatley, T. Similar neural responses predict friendship. Nat. Commun. 9, 1532 (2018). source
Not checked in the free run.
- cites [118] Hyon, R., Kleinbaum, A. M. & Parkinson, C. Social network proximity predicts similar trajectories of psychological states: evidence from multi-voxel spatiotemporal dynamics. NeuroImage 216, 116492 (2020). source
Not checked in the free run.
- Interpretationreasoning
Subtle differences in default mode network neural response patterns across participants correlate with subtle differences in their interpretation.
“At the same time, subtle differences in DMN neural response patterns across participants seem to correlate with subtle differences in their interpretation.”
Quote in the paperSubstantial claim - Interpretationreasoning
Through the interaction between the intrinsic self and the extrinsic world, the default mode network develops a shared neural code.
“Together, these studies suggest that, through the interaction between the intrinsic self and the extrinsic world, the DMN develops a shared neural code.”
Quote in the paperSubstantial claim - Interpretationreasoning
Common language, memories and schemas help us align and couple our DMN responses more effectively.
“Shared language, shared memories and shared schemas allow us to better align and couple our DMN responses.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Comprehension-based processes in a listener's brain are driven by, or shaped by, production-based processes in the speaker's brain.
“These findings demonstrate that comprehension-based processes in a listener’s brain are driven by, or shaped by, production-based processes in the speaker’s brain.”
Quote in the paperSubstantial claim - Interpretationreasoning
Participants who understand a situation in the same way will have similar neural patterns in default mode network nodes, irrespective of considerable differences in low-level stimulus properties.
“the results suggest that participants who understand the situation in the same way will have similar neural patterns in nodes of the DMN, irrespective of considerable differences in the low-level stimulus properties of the sensory input.”
Quote in the paperSubstantial claim - Premisecitation
Participants who had never seen a television episode showed spatio-temporally similar default mode network activity to the speaker both as the speaker recalled the episode and as the speaker watched the episode.
“Strikingly, participants who had never seen the episode before showed spatio-temporally similar DMN activity to the speaker both as the speaker recalled the episode and as the speaker watched the episode (Fig. 4b,c).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Zadbood, A., Chen, J., Leong, Y. C., Norman, K. A. & Hasson, U. How we transmit memories to other brains: constructing shared neural representations via communication. Cereb. Cortex 27, 4988–5000 (2017). source
Not checked in the free run.
- Premisecitation
Much communication is bidirectional and requires mutual adaptation and coupling between individuals who act simultaneously as senders and receivers.
“Although unidirectional communication through television, movies, social media and even online learning is increasingly common (Fig. 1b), much of communication is bidirectional and requires mutual adaptation and coupling between individuals who act simultaneously as senders and receivers84.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [84] Hasson, U. & Frith, C. D. Mirroring and beyond: coupled dynamics as a generalized framework for modelling social interactions. Philos. Trans. R. Soc. B Biol. Sci. 371, 20150366 (2016). source
Not checked in the free run.
- Premisecitation
After the consensus-building task, the rise in neural alignment remained for new clips taken from the same film.
“The increase in neural alignment following the consensus-building task persisted over novel clips sampled from the same movie.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [119] Sievers, B., Welker, C., Hasson, U., Kleinbaum, A. M. & Wheatley, T. How consensus-building conversation changes our minds and aligns our brains. Preprint at PsyArXiv https://doi.org/10.31234/osf.io/562z7 (2020). source
Not checked in the free run.
- Premisecitation
Speaker-listener coupling in early auditory regions reflected shared processing of low-level acoustic properties of the stimulus.
“Speaker–listener coupling in early auditory regions reflected shared processing of low-level acoustic properties of the stimulus, such as the audio amplitude envelope.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [86] Stephens, G. J., Silbert, L. J. & Hasson, U. Speaker–listener neural coupling underlies successful communication. Proc. Natl Acad. Sci. USA 107, 14425–14430 (2010). source
Not checked in the free run.
- Interpretationreasoning
Through reciprocal and dynamical social interaction, other people's brains can shape a person's brain responses and be shaped by that person's brain responses to generate a shared reality.
“In other words, through reciprocal and dynamical social interaction, other people’s brains can shape your brain responses and, at the same time, be shaped by your brain’s responses to generate a shared reality (Fig. 1b).”
Quote in the paperNot a substantial claim - Premisecitation
Listener comprehension was better predicted by the unique alignment between the listeners' and the speaker's response patterns as the speaker encoded the movie to memory, relative to alignment to other participants who watched the movie but did not share their experience with the listeners.
“Moreover, listener comprehension was better predicted by the unique alignment between the listeners’ and the speaker’s response patterns as the speaker encoded the movie to memory, relative to the alignment to the responses of other participants who watched the movie but did not share their experience with the listeners.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Zadbood, A., Chen, J., Leong, Y. C., Norman, K. A. & Hasson, U. How we transmit memories to other brains: constructing shared neural representations via communication. Cereb. Cortex 27, 4988–5000 (2017). source
Not checked in the free run.
- Interpretationnone given
Even when isolated, an individual's brain responses are shaped by the actions of others as conveyed by audiovisual movies, spoken words, or written text.
“Even when isolated at home or lying down in a dark fMRI scanner during experiments, an individual’s brain responses are still shaped by the actions of others, as conveyed by audiovisual movies, spoken words or written text.”
Quote in the paperNot a substantial claim - Premisecitation
A group conversation aimed at consensus altered participants' interpretations and aligned their later DMN responses when they rewatched the clip.
“Consensus-building conversation changed the minds of the participants and led to the alignment of their subsequent DMN neural responses as they watched the clip again.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [119] Sievers, B., Welker, C., Hasson, U., Kleinbaum, A. M. & Wheatley, T. How consensus-building conversation changes our minds and aligns our brains. Preprint at PsyArXiv https://doi.org/10.31234/osf.io/562z7 (2020). source
Not checked in the free run.
- Interpretationcitation
The people in our real and virtual social networks influence and shape how similarly our brains respond.
“Emerging neuroscientific research provides evidence that neural alignment across subjects is influenced and shaped by the people with whom we are connected in our real and virtual social networks.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [117] Parkinson, C., Kleinbaum, A. M. & Wheatley, T. Similar neural responses predict friendship. Nat. Commun. 9, 1532 (2018). source
Not checked in the free run.
- cites [118] Hyon, R., Kleinbaum, A. M. & Parkinson, C. Social network proximity predicts similar trajectories of psychological states: evidence from multi-voxel spatiotemporal dynamics. NeuroImage 216, 116492 (2020). source
Not checked in the free run.
- Interpretationreasoning
At the highest level of processing, the DMN, shared neural activity emerges naturally because social brains tend to align their thoughts and actions.
“Shared neural activity at the top of the processing hierarchy, in the DMN, naturally arises from the tendency of social brains to align thoughts and actions.”
Quote in the paperNot a substantial claim - Premisecitation
Speaker-listener neural coupling in higher-order areas, including the default mode network, reflected communication and shared understanding of the narrative.
“Furthermore, speaker–listener neural coupling in higher-order areas, including the DMN, reflected communication and shared understanding of the narrative.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [86] Stephens, G. J., Silbert, L. J. & Hasson, U. Speaker–listener neural coupling underlies successful communication. Proc. Natl Acad. Sci. USA 107, 14425–14430 (2010). source
Not checked in the free run.
- Interpretationreasoning
DMN representations must remain the same when low-level perceptual features change without any change in meaning or action.
“Thus, the DMN representation must be invariant to changes in low-level perceptual properties that are not associated with changes in meaning or action.”
Quote in the paperNot a substantial claim- Rests on an assumption: A given situation can be conveyed through speech, writing or abstract animated shapes.
- Premisecitation
Brain-brain coupling was first reported in a study that correlated the speaker's brain responses while telling a personal story with listeners' brain responses while listening to the story.
“Brain–brain coupling was first reported in a study that correlated the responses in the speaker’s brain recorded while telling a personal story in the fMRI scanner with the listeners’ brain responses while listening to the story86.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [86] Stephens, G. J., Silbert, L. J. & Hasson, U. Speaker–listener neural coupling underlies successful communication. Proc. Natl Acad. Sci. USA 107, 14425–14430 (2010). source
Not checked in the free run.
- Premisecitation
Teacher-student DMN coupling occurs during teaching and learning in real-life and simulated classrooms.
“Several recent studies have identified teacher–student DMN coupling during teaching and learning in both real-life classrooms110,111 and simulated classrooms88,112–116.”
Quote in the paperSubstantial claim0 of 8 sources checked- cites [110] Bevilacqua, D. et al. Brain-to-brain synchrony and learning outcomes vary by student–teacher dynamics: evidence from a real-world classroom electroencephalography study. J. Cognit. Neurosci. 31, 401–411 (2019). source
Not checked in the free run.
- cites [111] Dikker, S. et al. Brain-to-brain synchrony tracks real-world dynamic group interactions in the classroom. Curr. Biol. 27, 1375–1380 (2017). source
Not checked in the free run.
- cites [88] Nguyen, M. L., Chang, A., Micciche, E., Meshulam, M. & Nastase, S. A. Teacher–student neural coupling during teaching and learning. Preprint at bioRxiv https://doi.org/10.1101/2020.05.07.082958 (2020). source
Not checked in the free run.
- cites [112] Pan, Y. et al. Instructor–learner brain coupling discriminates between instructional approaches and predicts learning. NeuroImage 211, 116657 (2020). source
Not checked in the free run.
- cites [113] Davidesco, I. et al. Brain-to-brain synchrony between students and teachers predicts learning outcomes. Preprint at bioRxiv https://doi.org/10.1101/644047 (2019). source
Not checked in the free run.
- cites [114] Zheng, L. et al. Enhancement of teaching outcome through neural prediction of the students’ knowledge state. Hum. Brain. Mapp. 39, 3046–3057 (2018). source
Not checked in the free run.
- cites [115] Cohen, S. S. et al. Neural engagement with online educational videos predicts learning performance for individual students. Neurobiol. Learn. Mem. 155, 60–64 (2018). source
Not checked in the free run.
- cites [116] Meshulam, M. et al. Think like an expert: neural alignment predicts understanding in students taking an introduction to computer science course. Preprint at bioRxiv https://doi.org/10.1101/2020.05.05.079384 (2020). source
Not checked in the free run.
- Premisecitation
Speaker-listener coupling in the default mode network, but not early auditory regions, is disrupted when communication is disrupted by speaking nonsense words, telling a story in a language the listener does not understand, or temporally scrambling the stimulus.
“This study along with further studies revealed that speaker–listener coupling in the DMN, but not early auditory regions, is disrupted when communication is disrupted by either speaking nonsense words86,87, telling a story in a language that the listener does not understand86 or temporally scrambling the stimulus88.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [86] Stephens, G. J., Silbert, L. J. & Hasson, U. Speaker–listener neural coupling underlies successful communication. Proc. Natl Acad. Sci. USA 107, 14425–14430 (2010). source
Not checked in the free run.
- cites [87] Silbert, L. J., Honey, C. J., Simony, E., Poeppel, D. & Hasson, U. Coupled neural systems underlie the production and comprehension of naturalistic narrative speech. Proc. Natl Acad. Sci. USA 111, E4687–E4696 (2014). source
Not checked in the free run.
- cites [88] Nguyen, M. L., Chang, A., Micciche, E., Meshulam, M. & Nastase, S. A. Teacher–student neural coupling during teaching and learning. Preprint at bioRxiv https://doi.org/10.1101/2020.05.07.082958 (2020). source
Not checked in the free run.
- Interpretationreasoning
Other people's actions, memories and stories continually shape what we think, feel and do.
“Our thoughts, feelings and actions are constantly being shaped by the actions, memories and stories of others.”
Quote in the paperSubstantial claim - Premisecitation
The full circle of experience transmission from the speaker's brain to the listener's brain has been demonstrated.
“The full circle of experience transmission from the speaker’s brain to the listener’s brain has also been demonstrated33 (Fig. 4a).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Zadbood, A., Chen, J., Leong, Y. C., Norman, K. A. & Hasson, U. How we transmit memories to other brains: constructing shared neural representations via communication. Cereb. Cortex 27, 4988–5000 (2017). source
Not checked in the free run.
- Premisecitation
Individuals occupying central positions in their real-world social networks contributed disproportionately to aligning the group.
“Participants who were central in their real-world social networks played an outsized role in building group alignment.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [119] Sievers, B., Welker, C., Hasson, U., Kleinbaum, A. M. & Wheatley, T. How consensus-building conversation changes our minds and aligns our brains. Preprint at PsyArXiv https://doi.org/10.31234/osf.io/562z7 (2020). source
Not checked in the free run.
- Premisecitation
Teacher-student neural coupling predicts student learning outcomes.
“Notably, teacher–student neural coupling predicts student learning outcomes88,110,113,114,116.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [88] Nguyen, M. L., Chang, A., Micciche, E., Meshulam, M. & Nastase, S. A. Teacher–student neural coupling during teaching and learning. Preprint at bioRxiv https://doi.org/10.1101/2020.05.07.082958 (2020). source
Not checked in the free run.
- cites [110] Bevilacqua, D. et al. Brain-to-brain synchrony and learning outcomes vary by student–teacher dynamics: evidence from a real-world classroom electroencephalography study. J. Cognit. Neurosci. 31, 401–411 (2019). source
Not checked in the free run.
- cites [113] Davidesco, I. et al. Brain-to-brain synchrony between students and teachers predicts learning outcomes. Preprint at bioRxiv https://doi.org/10.1101/644047 (2019). source
Not checked in the free run.
- cites [114] Zheng, L. et al. Enhancement of teaching outcome through neural prediction of the students’ knowledge state. Hum. Brain. Mapp. 39, 3046–3057 (2018). source
Not checked in the free run.
- cites [116] Meshulam, M. et al. Think like an expert: neural alignment predicts understanding in students taking an introduction to computer science course. Preprint at bioRxiv https://doi.org/10.1101/2020.05.05.079384 (2020). source
Not checked in the free run.
- Interpretationreasoning
How the DMN integrates different perspectives depends mainly on the structure and character of our social interactions and connections.
“The synthesis of different perspectives in the DMN depends primarily on the structure and nature of our social interactions and social connections.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 11
- May combine two claims. 17
Classified as probably not a substantial claim.
InterpretationcitationIndividual differences in how people perceive the world can account for individual differences in default mode network responses.
“The finding that responses in the DMN are shaped by our long-term memories and beliefs raises the intriguing possibility that individual differences in the way we perceive the world can account for individual differences in DMN responses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenA person's knowledge, memories, and beliefs are shaped by the people they are connected to and by the world in which they are immersed.
“However, at the same time, our knowledge, memories and beliefs are shaped by the people we are connected to and the world in which we are immersed (Fig. 1b).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe ability to integrate information over days is necessary for building schemas.
“The ability to integrate information over days is necessary for building schemas, a mental codification of experience.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningBecause default mode network activity is shaped by a person's unique history, it is inherently idiosyncratic.
“As the activity in the DMN is shaped by our unique history, it is by nature idiosyncratic.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationDefault mode network responses can be shaped by information accumulated across many minutes during uninterrupted viewing and by information gathered over days, and conceivably years.
“This result suggests that the responses in the DMN can be shaped by information accumulated across many minutes during uninterrupted viewing (short-term context) as well as by information gathered over days (as in the long-term context group) — and, conceivably, even years.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [55] Chen, J. et al. Accessing real-life episodic information from minutes versus hours earlier modulates hippocampal and high-order cortical dynamics. Cereb. Cortex 26, 3428–3441 (2015). source
Not checked in the free run.
May combine two claims.
PremisecitationIn a study where participants watched an episode with long-term context, short-term context, or no context, inter-subject correlation in the default mode network was greater among participants with background knowledge than among those without, and responses were similar across short-term and long-term context groups.
“Inter-subject correlation in the DMN was greater among participants who had the background knowledge to interpret the clip than among participants who did not. Crucially, responses in the DMN were similar across the short-term context and the long-term context groups”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [55] Chen, J. et al. Accessing real-life episodic information from minutes versus hours earlier modulates hippocampal and high-order cortical dynamics. Cereb. Cortex 26, 3428–3441 (2015). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe default mode network comprises the posterior medial cortex, medial prefrontal cortex, and temporoparietal junction.
“The DMN, which includes the posterior medial cortex, medial prefrontal cortex and temporoparietal junction1–3”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [1] Buckner, R. L. & DiNicola, L. M. The brain’s default network: updated anatomy, physiology and evolving insights. Nat. Rev. Neurosci. 20, 593–608 (2019). source
Not checked in the free run.
- cites [2] Raichle, M. E. The brain’s default mode network. Annu. Rev. Neurosci. 38, 433–447 (2015). source
Not checked in the free run.
- cites [3] Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R. & Buckner, R. L. Functional-anatomic fractionation of the brain’s default network. Neuron 65, 550–562 (2010). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningActivity in the default mode network is sensitive to intrinsic information such as long-term memories, conditional responses, beliefs, and emotions, which influences how incoming external information is interpreted and processed.
“Second, we argue that activity in the DMN is nonetheless sensitive to intrinsic information (long-term memories, conditional responses, beliefs, emotions and so on), which influences and interacts with the interpretation and processing of incoming external information (bottom arrow in Fig. 1a).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationWithin-brain functional connectivity patterns are heavily influenced by direct and indirect anatomical wiring and are less sensitive for isolating spontaneous activity from stimulus-locked activity.
“within-brain functional connectivity patterns are heavily influenced by direct and indirect anatomical wiring, but are less sensitive for isolating spontaneous activity (for example, during rest) from stimulus-locked activity that propagates through the network as during processing of extrinsic information26,28.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [26] Simony, E. et al. Dynamic reconfiguration of the default mode network during narrative comprehension. Nat. Commun. 7, 12141 (2016). source
Not checked in the free run.
- cites [28] Nastase, S. A., Liu, Y.-F., Hillman, H., Norman, K. A. & Hasson, U. Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space. NeuroImage 15, 116865 (2020). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe default mode network provides a space in which social others can shape the self, which in turn enables the self to shape the memories and beliefs of others.
“we argue that the DMN provides a space for social ‘others’ (the extrinsic people we interact with) to shape the self (our set of intrinsic memories and beliefs), which in turn can enable us to shape the memories and beliefs of others.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIncreased alignment in neural response across subjects in the default mode network is correlated with similarity in interpretation of spoken narratives, emotional response over time, humour perception, socio-sexual desire, and moral decision-making.
“Similar studies have reported that increased alignment in neural response across subjects in the DMN is correlated with the similarity in interpretation of spoken narratives69, similarity in emotional response over time during spoken narratives70, similarity in humour perception over time71, similarity in socio-sexual desire while watching erotic movies72 and similarity in moral decision-making73,”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [69] Saalasti, S. et al. Inferior parietal lobule and early visual areas support elicitation of individualized meanings during narrative listening. Brain Behav. 9, e01288 (2019). source
Not checked in the free run.
- cites [70] Smirnov, D. et al. Emotions amplify speaker–listener neural alignment. Hum. Brain Mapp. 40, 4777–4788 (2019). source
Not checked in the free run.
- cites [71] Jääskeläinen, I. P. et al. Brain hemodynamic activity during viewing and re-viewing of comedy movies explained by experienced humor. Sci. Rep. 6, 27741 (2016). source
Not checked in the free run.
May combine two claims.
InterpretationcitationDefault mode network responses are locked to the content of stimuli over long timescales and are relatively invariant to low-level stimulus properties that do not change the interpretation of the stimuli.
“DMN responses are locked to the content of the stimuli over long timescales. At the same time, they are relatively invariant to even dramatic changes in low-level stimulus properties that do not change the interpretation (meaning) of the stimuli.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenMaking sense of the world is a dynamic process that requires integrating incoming information with prior knowledge about the situation over multiple timescales.
“Making sense of the world is a dynamic, ever-changing process requiring the integration of incoming information with prior knowledge about the situation over multiple timescales.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningThe shared representation in the default mode network arises from dynamical social interaction between the self and others.
“Here, we propose that the shared representation in the DMN arises from dynamical social interaction between the self and others.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn group discussions, conversational leaders emerge naturally, and the leader's neural activity more strongly predicts the followers' neural activity than vice versa.
“A later study using fNIRS identified conversational ‘leaders’ that emerge naturally in group discussions and used Granger causality analysis to show that the leader’s neural activity more strongly predicted the followers’ neural activity than vice versa101.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] Jiang, J. et al. Leader emergence through interpersonal neural synchronization. Proc. Natl Acad. Sci. USA 112, 4274–4279 (2015). source
Not checked in the free run.
May combine two claims.
PremisecitationFace-to-face communication elicits greater brain-brain coupling than back-to-back communication, suggesting a role of non-verbal signals in enhancing communication and neural alignment.
“this approach showed that face-to-face communication elicits greater brain–brain coupling than does back-to-back communication100, suggesting a role of non-verbal signals in enhancing communication and neural alignment.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [100] Jiang, J. et al. Neural synchronization during face-to-face communication. J. Neurosci. 32, 16064–16069 (2012). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningCaregiver-child default mode network coupling emerges early in development and likely plays a role in learning and language acquisition.
“Together, these findings suggest that that caregiver–child DMN coupling emerges early in development and likely plays a role in learning and language acquisition.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn language areas and the default mode network, listeners' brain responses lagged behind the speaker's brain responses, suggesting that the speaker's brain causally shaped the listeners' brains.
“By contrast, in language areas and the DMN, the responses in the listeners’ brains lagged behind the responses in the speaker’s brain, suggesting that responses in the speaker’s brain causally shaped the responses in the listeners’ brains.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [86] Stephens, G. J., Silbert, L. J. & Hasson, U. Speaker–listener neural coupling underlies successful communication. Proc. Natl Acad. Sci. USA 107, 14425–14430 (2010). source
Not checked in the free run.
May combine two claims.
PremisecitationWhen people process culturally relevant material, such as stories about protected collectivist values, neural response differences appear between cultures and may track how strongly individuals identify with their culture.
“Group-level differences in neural responses between cultures have also been observed during processing of culturally relevant stimuli, such as stories describing protected collectivist values, that may be related to the degree of identification with the culture120,121.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [120] Kaplan, J. T. et al. Processing narratives concerning protected values: a cross-cultural investigation of neural correlates. Cereb. Cortex 27, 1428–1438 (2017).
Not checked in the free run.
- cites [121] Levy, J. et al. Adolescents growing up amidst intractable conflict attenuate brain response to pain of outgroup. Proc. Natl Acad. Sci. USA 113, 13696–13701 (2016). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningOur mutual shaping with others partly depends on DMN activity, which can both influence other brains' responses and be influenced by their actions during social interaction.
“In this Perspective, we argue that we are able to shape and be shaped by others in part because activity in the DMN is capable of both shaping other brains’ responses and being shaped by the actions of other brains during social interaction.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningNeural patterns in the default mode network are shared across participants and aligned to the abstract structure and interpretation of external events.
“Perhaps one of the most intriguing findings across these studies is the discovery of neural patterns in the DMN that are shared across participants and aligned to the abstract structure and interpretation of the external events.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningThe DMN is 'default' because it centrally integrates external and internal information, enabling shared communication, meanings, narratives, communities and social networks.
“Rather, we suggest that the DMN is ‘default’ because it is central for integrating external and internal information, allowing for shared communication and alignment tools, shared meanings, shared narratives and, above all, shared communities and social networks.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningTelling stories together and forming collaborations strengthen this coupling even more.
“Sharing stories and building collaborations further enhance such coupling.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningBuilding shared ways to understand and act is a continuing communal process that blends our own idiosyncratic perspectives and actions with those of others.
“Developing shared ways to understand and act in the world is an evolving communal effort in which we synthesize our intrinsic idiosyncratic perspectives and actions with the extrinsic perspectives and actions of others.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningThe DMN is not 'default' because it is active during inward focus, nor because it is shaped by other people.
“In this Perspective, we argue that the DMN is ‘default’ not because it is engaged when we are looking inward, nor because it is shaped by others.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Naturalistic stimuli such as stories and movies engage the same default mode network processes that operate during real-world social interaction.
“These findings also highlight the importance of studying the brain’s dynamics under temporally extended, ecological conditions29.”
The paper relies on this without support.
Sensory areas produce shared neural activity because they tend to align with low-level perceptual features of external stimuli.
“Shared neural activity at the sensory level naturally arises from the tendency of these areas to align with the low-level perceptual properties of the external stimuli.”
The paper relies on this without support.
A given situation can be conveyed through speech, writing or abstract animated shapes.
“The same situation can be described using spoken words, written text or abstract animated shapes.”
The paper relies on this without support.
Across contexts, the same situation can carry very different meanings tied to different actions.
“Conversely, the same situation can have markedly different meanings associated with different actions across different contexts.”
The paper relies on this without support.
In formal education, new and sometimes technical information has to pass from an expert's brain to novices' brains.
“In such contexts, novel, sometimes jargonized, information must be transmitted from an expert’s brain to novices’ brains.”
The paper relies on this without support.
A central feature of formal teaching and learning is the growth of shared understanding of concepts.
“The development of shared understanding of concepts is also the hallmark of teaching and learning in formal education.”
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?
The journey of Anonymized-MOOC-Platform-CL members through stimulating disruptions, resolving conflicts, and creating new operational models reflects the core of Engeström's Activity Theory and the novel discovery of neuro-alignment among team members through social interaction.
“The journey of Anonymized-MOOC-Platform-CL members through stimulating disruptions, resolving conflicts, and creating new operational models indeed reflects the core of Engeström's Activity Theory and even the novel discovery of neuro-alignment among team members through social interaction (Yeshurun et al., 2021).”
From Transforming Online Teacher Training Through Expansive Learning: A Case Study Applying Cultural-Historical Activity Theory and the Change Laboratory Method (2025) · cites this paper as Yeshurun et al., 2021
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredOngoing DMN activity of two individuals becomes synchronized when they process shared narratives, with DMN synchronization being particularly sensitive to social communicative cues.
“An innovative research direction using naturalistic stimuli has demonstrated that ongoing DMN activity of two individuals becomes synchronized when they process shared narratives, with DMN synchronization being particularly sensitive to social communicative cues. 47”
From 20 years of the default mode network: A review and synthesis. (2023) · cites this paper as [47]
The DMN consistently responds to various aspects of social content and context, encompassing the consideration of mental states, making inferences about others' mental states, and establishing shared meaning and narratives about the self in the world.
“In summary, the DMN consistently responds to various aspects of social content and context, encompassing the consideration of mental states, making inferences about others' mental states, and establishing shared meaning and narratives about the self in the world. 47”
From 20 years of the default mode network: A review and synthesis. (2023) · cites this paper as [47]
Humans operate an online mechanism for accumulating information and integrating it into a broader contextual memory, which is changed and updated as the story unfolds.
“Rather, humans operate an online mechanism for accumulating information and integrating it into a broader contextual memory, which is changed and updated as the story unfolds17,18.”
From Incremental accumulation of linguistic context in artificial and biological neural networks (2025) · cites this paper as [17]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Infant-caregiver finding is cited to unrelated references
MinorThe claim about scans of infants aged 9-10 months cites references 1-3, but those entries concern the default mode network's anatomy and organization, not infant-caregiver scanning. The bibliography lists an infant-adult coupling study as reference 109.
“between caregivers and infants as young as 9–10 months old1–3.”
“1. Buckner RL & DiNicola LM The brain’s default network: updated anatomy, physiology and evolving insights. Nat. Rev. Neurosci 20, 593– 608 (2019).”
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
LOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS
Scoville, W. B., & Milner, B. (1957) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.20.1.11 · Cited by 7,322 · see citing works
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
The brain's default mode network
Raichle, M. E. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014030 · Cited by 3,904 · see citing works
Meeting of minds: the medial frontal cortex and social cognition
Amodio, D. M., & Frith, C. D. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1884 · Cited by 3,782 · see citing works
An Experimental Study of Apparent Behavior
Heider, F., & Simmel, M. (1944) · The American Journal of Psychology · doi:10.2307/1416950 · Cited by 3,340 · see citing works
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307 · see citing works
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.071043098 · Cited by 2,997 · see citing works
Self-referential processing in our brain—A meta-analysis of imaging studies on the self
Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., & Panksepp, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.002 · Cited by 2,792 · see citing works
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792 · see citing works
Functional-anatomic fractionation of the brain’s default network
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.005 · Cited by 2,767 · see citing works
Remembering the past to imagine the future: the prospective brain
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2213 · Cited by 2,394 · see citing works
Situating the default-mode network along a principal gradient of macroscale cortical organization
Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608282113 · Cited by 2,321 · see citing works
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · see citing works
Spreng, R. N., Mar, R. A., & Kim, A. S. N. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21029 · Cited by 2,143 · see citing works
Efficient generation of mouse models of human diseases via ABE- and BE-mediated base editing
Liu, Z., Lu, Z., Yang, G., Huang, S., Li, G., Feng, S., Liu, Y., Li, J., Yu, W., Zhang, Y., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04768-7 · Cited by 2,103 · see citing works
Social Cognitive Neuroscience: A Review of Core Processes
Lieberman, M. D. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085654 · Cited by 2,010 · see citing works
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890 · see citing works
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869 · see citing works
The Social Brain: Neural Basis of Social Knowledge
Adolphs, R. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163514 · Cited by 1,827 · see citing works
The Science of Mind Wandering: Empirically Navigating the Stream of Consciousness
Smallwood, J., & Schooler, J. W. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015331 · Cited by 1,685 · see citing works
Fractionating theory of mind: a meta-analysis of functional brain imaging studies
Schurz, M., Radua, J., Aichhorn, M., Richlan, F., & Perner, J. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.01.009 · Cited by 1,656 · see citing works
Brain-to-brain coupling: a mechanism for creating and sharing a social world
Hasson, U., Ghazanfar, A. A., Galantucci, B., Garrod, S., & Keysers, C. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.12.007 · Cited by 1,140 · see citing works
Self-citationA Parametric Manipulation of Factors Affecting Task-induced Deactivation in Functional Neuroimaging
McKiernan, K. A., Kaufman, J. N., Kucera-Thompson, J., & Binder, J. R. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321593117 · Cited by 1,080 · see citing works
The brain’s default network: updated anatomy, physiology and evolving insights
Buckner, R. L., & DiNicola, L. M. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0212-7 · Cited by 1,058 · see citing works
Speaker-listener neural coupling underlies successful communication
Stephens, G. J., Silbert, L. J., & Hasson, U. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008662107 · Cited by 970 · see citing works
Self-citationDiscovering Event Structure in Continuous Narrative Perception and Memory
Baldassano, C., Chen, J., Zadbood, A., Pillow, J. W., Hasson, U., & Norman, K. A. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.041 · Cited by 952 · see citing works
Self-citationHow is our self related to midline regions and the default-mode network?
Qin, P., & Northoff, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.028 · Cited by 909 · see citing works
A hierarchy of temporal receptive windows in human cortex
Hasson, U., Yang, E., Vallines, I., Heeger, D. J., & Rubin, N. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5487-07.2008 · Cited by 874 · see citing works
Self-citationBrain-to-brain synchrony tracks real-world dynamic group interactions in the classroom
Dikker, S., Wan, L., Davidesco, I., Kaggen, L., Oostrik, M., McClintock, J., Rowland, J., Michalareas, G., Van Bavel, J. J., Ding, M., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.04.002 · Cited by 871 · see citing works
<i>Episodic Simulation of Future Events</i>: <i>Concepts, Data, and Applications</i>
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.001 · Cited by 840 · see citing works
Topographic mapping of a hierarchy of temporal receptive windows using a narrated story
Lerner, Y., Honey, C. J., Silbert, L. J., & Hasson, U. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3684-10.2011 · Cited by 834 · see citing works
Self-citationHyperscanning: Simultaneous fMRI during Linked Social Interactions
Montague, P. (2002) · NeuroImage · doi:10.1006/nimg.2002.1150 · Cited by 833 · see citing works
It's the Thought That Counts: Specific Brain Regions for One Component of Theory of Mind
Saxe, R., & Powell, L. J. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01768.x · Cited by 815 · see citing works
On the relationship between the “default mode network” and the “social brain
Mars, R. B., Neubert, F.-X., Noonan, M. P., Sallet, J., Toni, I., & Rushworth, M. F. S. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00189 · Cited by 766 · see citing works
Hierarchical process memory: memory as an integral component of information processing
Hasson, U., Chen, J., & Honey, C. J. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.04.006 · Cited by 749 · see citing works
Self-citationNeurobiology of Schemas and Schema-Mediated Memory
Gilboa, A., & Marlatte, H. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.04.013 · Cited by 742 · see citing works
Functional neuroimaging of autobiographical memory
Cabeza, R., & St Jacques, P. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.02.005 · Cited by 736 · see citing works
Fox, K. C. R., Spreng, R. N., Ellamil, M., Andrews-Hanna, J. R., & Christoff, K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.039 · Cited by 690 · see citing works
Evidence for the Default Network's Role in Spontaneous Cognition
Andrews-Hanna, J. R., Reidler, J. S., Huang, C., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00830.2009 · Cited by 685 · see citing works
Functional anatomical studies of explicit and implicit memory retrieval tasks
Buckner, R. L., Petersen, S., Ojemann, J. G., Miezin, F. M., Squire, L., & Raichle, M. E. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00012.1995 · Cited by 678 · see citing works
Shared memories reveal shared structure in neural activity across individuals
Chen, J., Leong, Y. C., Honey, C. J., Yong, C. H., Norman, K. A., & Hasson, U. (2017) · Nature Neuroscience · doi:10.1038/nn.4450 · Cited by 645 · see citing works
Self-citationSchilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R., & Vogeley, K. (2008) · Consciousness and Cognition · doi:10.1016/j.concog.2008.03.013 · Cited by 615 · see citing works
Remembering the past: two facets of episodic memory explored with positron emission tomography
(1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.11.1576 · Cited by 593 · see citing works
Dynamic reconfiguration of the default mode network during narrative comprehension
Simony, E., Honey, C. J., Chen, J., Lositsky, O., Yeshurun, Y., Wiesel, A., & Hasson, U. (2016) · Nature Communications · doi:10.1038/ncomms12141 · Cited by 588 · see citing works
Self-citationBraga, R. M., & Buckner, R. L. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.038 · Cited by 588 · see citing works
Theory of Mind: A Neural Prediction Problem
Koster-Hale, J., & Saxe, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.020 · Cited by 513 · see citing works
Neuroimaging studies of autobiographical event memory
Maguire, E. A. (2001) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2001.0944 · Cited by 513 · see citing works
Neural Synchronization during Face-to-Face Communication
Jiang, J., Dai, B., Peng, D., Zhu, C., Liu, L., & Lu, C. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2926-12.2012 · Cited by 489 · see citing works
The restless brain: How intrinsic activity organizes brain function
Raichle, M. E. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0172 · Cited by 433 · see citing works
Measuring shared responses across subjects using intersubject correlation
Nastase, S. A., Gazzola, V., Hasson, U., & Keysers, C. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz037 · Cited by 419 · see citing works
Self-citationBrain-to-Brain Synchrony during Naturalistic Social Interactions
Kinreich, S., Djalovski, A., Kraus, L., Louzoun, Y., & Feldman, R. (2017) · Scientific Reports · doi:10.1038/s41598-017-17339-5 · Cited by 402 · see citing works
Convergence of spoken and written language processing in the superior temporal sulcus
Wilson, S. M., Bautista, A., & McCarron, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.068 · Cited by 399 · see citing works
A cancer vaccine-mediated postoperative immunotherapy for recurrent and metastatic tumors
Wang, T., Wang, D., Yu, H., Feng, B., Zhou, F., Zhang, H., Zhou, L., Jiao, S., & Li, Y. (2018) · Nature Communications · doi:10.1038/s41467-018-03915-4 · Cited by 394 · see citing works
Similar neural responses predict friendship
Parkinson, C., Kleinbaum, A. M., & Wheatley, T. (2018) · Nature Communications · doi:10.1038/s41467-017-02722-7 · Cited by 388 · see citing works
Mirroring and beyond: coupled dynamics as a generalized framework for modelling social interactions
Hasson, U., & Frith, C. D. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0366 · Cited by 371 · see citing works
Self-citationConsistency and functional specialization in the default mode brain network
Harrison, B. J., Pujol, J., López-Solà, M., Hernández-Ribas, R., Deus, J., Ortiz, H., Soriano-Mas, C., Yücel, M., Pantelis, C., & Cardoner, N. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0711791105 · Cited by 363 · see citing works
Learning-enhanced coupling between ripple oscillations in association cortices and hippocampus
Khodagholy, D., Gelinas, J. N., & Buzsáki, G. (2017) · Science · doi:10.1126/science.aan6203 · Cited by 357 · see citing works
Coupled neural systems underlie the production and comprehension of naturalistic narrative speech
Silbert, L. J., Honey, C. J., Simony, E., Poeppel, D., & Hasson, U. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323812111 · Cited by 352 · see citing works
Self-citationKeep it real: rethinking the primacy of experimental control in cognitive neuroscience
Nastase, S. A., Goldstein, A., & Hasson, U. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117254 · Cited by 349 · see citing works
Self-citationLeader emergence through interpersonal neural synchronization.
Jiang, J., Chen, C., Dai, B., Shi, G., Ding, G., Liu, L., & Lu, C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422930112 · Cited by 341 · see citing works
Golland, Y., Bentin, S., Gelbard, H., Benjamini, Y., Heller, R., Nir, Y., Hasson, U., & Malach, R. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhk030 · Cited by 337 · see citing works
Self-citationRepresentation of Real-World Event Schemas during Narrative Perception
Baldassano, C. A., Hasson, U., & Norman, K. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0251-18.2018 · Cited by 325 · see citing works
Self-citationMapping the information flow from one brain to another during gestural communication
Schippers, M. B., Roebroeck, A., Renken, R., Nanetti, L., & Keysers, C. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001791107 · Cited by 323 · see citing works
Aggleton, J. P. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.09.005 · Cited by 319 · see citing works
Andrews-Hanna, J. R., Saxe, R., & Yarkoni, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.032 · Cited by 313 · see citing works
Bevilacqua, 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
Concept representation reflects multimodal abstraction: A framework for embodied semantics
Fernandino, L., Binder, J. R., Desai, R. H., Pendl, S. L., Humphries, C. J., Gross, W. L., Conant, L. L., & Seidenberg, M. S. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv020 · Cited by 305 · see citing works
The serendipitous discovery of the brain's default network
Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.035 · Cited by 304 · see citing works
Shared understanding of narratives is correlated with shared neural responses
Nguyen, M., Vanderwal, T., & Hasson, U. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.010 · Cited by 304 · see citing works
Self-citationSame Story, Different Story: The Neural Representation of Interpretive Frameworks
Yeshurun, Y., Swanson, S., Simony, E., Chen, J., Lazaridi, C., Honey, C. J., & Hasson, U. (2017) · Psychological Science · doi:10.1177/0956797616682029 · Cited by 300 · see citing works
Self-citationContour Saliency in Primary Visual Cortex
Li, W., Piëch, V., & Gilbert, C. D. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.035 · Cited by 285 · see citing works
Zadbood, A., Chen, J., Leong, Y. C., Norman, K. A., & Hasson, U. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx202 · Cited by 281 · see citing works
Self-citationZadbood, A., Chen, J., Leong, Y. C., Norman, K. A., & Hasson, U. (2016) · doi:10.1101/081208 · Cited by 281 · see citing works
Self-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
Prose recall and amnesia: implications for the structure of working memory
Baddeley, A., & Wilson, B. A. (2002) · Neuropsychologia · doi:10.1016/s0028-3932(01)00146-4 · Cited by 270 · see citing works
Clan mentality: evidence that the medial prefrontal cortex responds to close others
Krienen, F. M., Tu, P.-C., & Buckner, R. L. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-10.2010 · Cited by 256 · 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
Selective and invariant neural responses to spoken and written narratives
Regev, M., Honey, C. J., Simony, E., & Hasson, U. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1580-13.2013 · Cited by 215 · see citing works
Self-citationDeniz, F., Nunez-Elizalde, A. O., Huth, A. G., & Gallant, J. L. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.0675-19.2019 · Cited by 214 · see citing works
Social psychology as a natural kind
Mitchell, J. P. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.03.008 · Cited by 209 · see citing works
Flow of affective information between communicating brains
Anders, S., Heinzle, J., Weiskopf, N., Ethofer, T., & Haynes, J.-D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.004 · Cited by 206 · see citing works
Infant and Adult Brains Are Coupled to the Dynamics of Natural Communication
Piazza, E. A., Hasenfratz, L., Hasson, U., & Lew‐Williams, C. (2019) · Psychological Science · doi:10.1177/0956797619878698 · Cited by 205 · see citing works
Self-citationSpatial Organization and Magnitude of Orientation Contrast Interactions in Primate V1
Jones, H. E., Wang, W., & Sillito, A. M. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00403.2001 · Cited by 195 · see citing works
Konishi, M., McLaren, D. G., Engen, H., & Smallwood, J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0132209 · Cited by 194 · see citing works
Not lost in translation: neural responses shared across languages
Honey, C. J., Thompson, C. R., Lerner, Y., & Hasson, U. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.1800-12.2012 · Cited by 192 · see citing works
Self-citationDelamillieure, P., Doucet, G., Mazoyer, B., Turbelin, M.-R., Delcroix, N., Mellet, E., Zago, L., Crivello, F., Petit, L., Tzourio-Mazoyer, N., et al. (2010) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2009.11.014 · Cited by 190 · see citing works
Pan, Y., Dikker, S., Goldstein, P., Zhu, Y., Yang, C., & Hu, Y. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116657 · Cited by 187 · see citing works
Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative
Finn, E. S., Corlett, P. R., Chen, G., Bandettini, P. A., & Constable, R. T. (2018) · Nature Communications · doi:10.1038/s41467-018-04387-2 · Cited by 185 · see citing works
The role of the default mode network in component processes underlying the wandering mind
Poerio, G. L., Sormaz, M., Wang, H.-T., Margulies, D. S., Jefferies, E., & Smallwood, J. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx041 · Cited by 184 · see citing works
The computational and neural substrates of moral strategies in social decision-making
van Baar, J. M., Chang, L. J., & Sanfey, A. G. (2019) · Nature Communications · doi:10.1038/s41467-019-09161-6 · Cited by 184 · see citing works
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
Enhancement of teaching outcome through neural prediction of the students' knowledge state
Zheng, L., Chen, C., Liu, W., Long, Y., Zhao, H., Bai, X., Zhang, Z., Han, Z., Liu, L., Guo, T., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24059 · Cited by 180 · see citing works
Measuring speaker–listener neural coupling with functional near infrared spectroscopy
Liu, Y., Piazza, E. A., Simony, E., Shewokis, P. A., Onaral, B., Hasson, U., & Ayaz, H. (2017) · Scientific Reports · doi:10.1038/srep43293 · Cited by 180 · see citing works
Self-citationComputing the Social Brain Connectome Across Systems and States
Alcalá-López, D., Smallwood, J., Jefferies, E., Overwalle, F. V., Vogeley, K. T., Mars, R. B., Turetsky, B. I., Laird, A. R., Fox, P. T., Eickhoff, S. B., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx121 · Cited by 177 · see citing works
Merged minds: Generalized shared reality in dyadic relationships.
Rossignac‐Milon, M., Bolger, N. P., Zee, K. S., Boothby, E. J., & Higgins, E. T. (2020) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000266 · Cited by 174 · see citing works
Dikker, S., Silbert, L. J., Hasson, U., & Zevin, J. D. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3796-13.2014 · Cited by 167 · see citing works
Self-citationInter-Brain Synchrony in Mother-Child Dyads During Cooperation: An fNIRS Hyperscanning Study
Miller, J. G., Vrtička, P., Cui, X., Shrestha, S., Hosseini, S. M. H., Baker, J. M., & Reiss, A. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.12.021 · Cited by 164 · see citing works
Within-group synchronization in the prefrontal cortex associates with intergroup conflict
Yang, J., Zhang, H., Ni, J., De Dreu, C. K. W., & Ma, Y. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0630-x · Cited by 161 · see citing works
Beyond the Language Given: The Neural Correlates of Inferring Speaker Meaning
Bašnáková, J., Weber, K., Petersson, K. M., Berkum, J. J. A. V., & Peter Hagoort, A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht112 · Cited by 153 · see citing works
Fishburn, F. A., Murty, V. P., Hlutkowsky, C. O., MacGillivray, C. E., Bemis, L. M., Murphy, M. E., Huppert, T. J., & Perlman, S. B. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy060 · Cited by 144 · see citing works
A place for time: The spatiotemporal structure of neural dynamics during natural audition
Stephens, G. J., Honey, C. J., & Hasson, U. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00268.2013 · Cited by 141 · see citing works
Self-citationMemorable Audiovisual Narratives Synchronize Sensory and Supramodal Neural Responses
Cohen, S. S., & Parra, L. C. (2016) · eneuro · doi:10.1523/eneuro.0203-16.2016 · Cited by 138 · see citing works
Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants
Kernbach, J. M., Yeo, B. T. T., Smallwood, J., Margulies, D. S., de Schotten, M. T., Walter, H., Sabuncu, M. R., Holmes, A. J., Gramfort, A., Varoquaux, G. P., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804876115 · Cited by 138 · see citing works
Engaged listeners: shared neural processing of powerful political speeches
Schmälzle, R., Häcker, F. E. K., Honey, C. J., & Hasson, U. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu168 · Cited by 135 · see citing works
Self-citationChen, J., Honey, C. J., Simony, E., Arcaro, M. J., Norman, K. A., & Hasson, U. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv155 · Cited by 135 · see citing works
Self-citationDark control: The default mode network as a reinforcement learning agent
Dohmatob, E., Dumas, G., & Bzdok, D. (2020) · Human Brain Mapping · doi:10.1002/hbm.25019 · Cited by 121 · see citing works
Sharing 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
Cohen, S. S., Madsen, J., Touchan, G., Robles, D., Lima, S. F. A., Henin, S., & Parra, L. C. (2018) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2018.06.011 · Cited by 116 · see citing works
A cross-brain neural mechanism for human-to-human verbal communication
Hirsch, J., Adam Noah, J., Zhang, X., Dravida, S., & Ono, Y. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy070 · Cited by 114 · see citing works
Generative models, linguistic communication and active inference
Friston, K. J., Parr, T., Yufik, Y. M., Sajid, N., Price, C. J., & Holmes, E. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.005 · Cited by 113 · see citing works
Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network
Kaplan, R., Adhikari, M. H., Hindriks, R., Mantini, D., Murayama, Y., Logothetis, N. K., & Deco, G. (2016) · Current Biology · doi:10.1016/j.cub.2016.01.017 · Cited by 111 · see citing works
Uchiyama, H. T., Saito, D. N., Tanabe, H. C., Harada, T., Seki, A., Ohno, K., Koeda, T., & Sadato, N. (2011) · Cortex · doi:10.1016/j.cortex.2011.01.004 · Cited by 110 · see citing works
Imaging the Social Brain by Simultaneous Hyperscanning during Subject Interaction
Astolfi, L., Toppi, J., De Vico Fallani, F., Vecchiato, G., Cincotti, F., Wilke, C., Yuan, H., Mattia, D., Salinari, S., He, B., et al. (2011) · IEEE Intelligent Systems · doi:10.1109/mis.2011.61 · Cited by 110 · see citing works
Adolescents growing up amidst intractable conflict attenuate brain response to pain of outgroup
Levy, J., Goldstein, A., Influs, M., Masalha, S., Zagoory-Sharon, O., & Feldman, R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612903113 · Cited by 108 · see citing works
Chen, 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
The Default Mode of Human Brain Function Primes the Intentional Stance
Spunt, R. P., Meyer, M. L., & Lieberman, M. D. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00785 · Cited by 98 · see citing works
Amplification of local changes along the timescale processing hierarchy
Yeshurun, Y., Nguyen, M., & Hasson, U. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701652114 · Cited by 94 · see citing works
Self-citationAbdulSabur, N. Y., Xu, Y., Liu, S., Chow, H. M., Baxter, M., Carson, J., & Braun, A. R. (2014) · Cortex · doi:10.1016/j.cortex.2014.01.017 · Cited by 92 · see citing works
The Surprising Role of the Default Mode Network
Brandman, T., Malach, R., & Simony., E. (2020) · doi:10.1101/2020.05.18.101758 · Cited by 88 · see citing works
The surprising role of the default mode network in naturalistic perception
Brandman, T., Malach, R., & Simony, E. (2021) · Communications Biology · doi:10.1038/s42003-020-01602-z · Cited by 88 · see citing works
Davidesco, I., Laurent, E., Valk, H., West, T. V., Milne, C. E., Poeppel, D., & Dikker, S. (2023) · Psychological Science · doi:10.1177/09567976231163872 · Cited by 88 · see citing works
Content-specific coordination of listeners' to speakers' EEG during communication
Kuhlen, A. K., Allefeld, C., & Haynes, J. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00266 · Cited by 87 · see citing works
Meshulam, M., Hasenfratz, L., Hillman, H., Liu, Y., Nguyen, M., Norman, K. A., & Hasson, U. (2021) · Nature Communications · doi:10.1038/s41467-021-22202-3 · Cited by 86 · see citing works
Self-citationMeshulam, M., Hasenfratz, L., Hillman, H., Liu, Y.-F., Nguyen, M., Norman, K. A., & Hasson, U. (2020) · doi:10.1101/2020.05.05.079384 · Cited by 85 · see citing works
Self-citationGruskin, D. C., Rosenberg, M. D., & Holmes, A. J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116217 · Cited by 82 · see citing works
Schippers, M. B., Gazzola, V., Goebel, R., & Keysers, C. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006801 · Cited by 77 · see citing works
Decoding the neural representation of story meanings across languages
Dehghani, M., Boghrati, R., Man, K., Hoover, J., Gimbel, S. I., Vaswani, A., Zevin, J. D., Immordino‐Yang, M. H., Gordon, A. S., Damásio, A. R., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23814 · Cited by 76 · see citing works
Contextual Alignment of Cognitive and Neural Dynamics
Ames, D. L., Honey, C. J., Chow, M. A., Todorov, A., & Hasson, U. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00728 · Cited by 74 · see citing works
Self-citationRegev, M., Simony, E., Lee, K. J., Tan, K. M., Chen, J., & Hasson, U. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy282 · Cited by 74 · see citing works
Self-citationWhat can narratives tell us about the neural bases of human memory?
Lee, H., Bellana, B., & Chen, J. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.02.007 · Cited by 73 · see citing works
Emotions 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
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
Teacher-student neural coupling during teaching and learning
Nguyen, M., Chang, A., Micciche, E., Meshulam, M., Nastase, S. A., & Hasson, U. (2020) · doi:10.1101/2020.05.07.082958 · Cited by 67 · see citing works
Self-citationTeacher–student neural coupling during teaching and learning
Nguyen, M., Chang, A. E., Micciche, E. T., Meshulam, M., Nastase, S. A., & Hasson, U. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab103 · Cited by 67 · see citing works
Self-citationKaplan, J., Gimbel, S. I., Dehghani, M., Immordino‐Yang, M. H., Sagae, K., Wong, J. D., Tipper, C. M., Damásio, H., Gordon, A. S., & Damásio, A. R. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv325 · Cited by 65 · see citing works
Stimulus-free thoughts induce differential activation in the human default network
Preminger, S., Harmelech, T., & Malach, R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.036 · Cited by 59 · see citing works
Social by Default: Characterizing the Social Functions of the Resting Brain
Meyer, M. L. (2019) · Current Directions in Psychological Science · doi:10.1177/0963721419857759 · Cited by 59 · see citing works
Jääskeläinen, I. P., Pajula, J., Tohka, J., Lee, H.-J., Kuo, W.-J., & Lin, F.-H. (2016) · Scientific Reports · doi:10.1038/srep27741 · Cited by 52 · see citing works
Chang, C. H. C., Lazaridi, C., Yeshurun, Y., Norman, K. A., & Hasson, U. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01707 · Cited by 52 · see citing works
Self-citationSaalasti, S., Alho, J., Bar, M., Glerean, E., Honkela, T., Kauppila, M., Sams, M., & Jääskeläinen, I. P. (2019) · Brain and Behavior · doi:10.1002/brb3.1288 · Cited by 50 · see citing works
Brain-to-brain synchrony between students and teachers predicts learning outcomes
Davidesco, I., Laurent, E., Valk, H., West, T., Dikker, S., Milne, C., & Poeppel, D. (2019) · doi:10.1101/644047 · Cited by 50 · see citing works
Hyon, R., Kleinbaum, A. M., & Parkinson, C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116492 · Cited by 49 · see citing works
Individualized psychiatric imaging based on inter-subject neural synchronization in movie watching
Yang, Z., Wu, J., Xu, L., Deng, Z.-Z., Tang, Y., Gao, J., Hu, Y., Zhang, Y., Qin, S., Li, C., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116227 · Cited by 44 · see citing works
Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space
Nastase, S. A., Liu, Y.-F., Hillman, H., Norman, K. A., & Hasson, U. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116865 · Cited by 42 · see citing works
Self-citationDai, R., Liu, R., Liu, T., Zong, Z., Xiao, X. N., Sun, P., Yu, X., Wang, D., & Zhu, C. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy090 · Cited by 41 · see citing works
A drama movie activates brains of holistic and analytical thinkers differentially
Bacha‐Trams, M., Alexandrov, Y. I., Broman, E., Glerean, E., Kauppila, M., Kauttonen, J., Ryyppö, E., Sams, M. E., & Jääskeläinen, I. P. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy099 · Cited by 37 · see citing works
Interpretation-mediated changes in neural activity during language comprehension
Cooper, E. A., Hasson, U., & Small, S. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.003 · Cited by 31 · see citing works
Self-citationNarrative comprehension beyond language: Common brain networks activated by a movie and its script
Tikka, P., Kauttonen, J., & Hlushchuk, Y. (2018) · PLoS ONE · doi:10.1371/journal.pone.0200134 · Cited by 30 · see citing works
Temporal integration of narrative information in a hippocampal amnesic patient
Zuo, X., Honey, C. J., Barense, M. D., Crombie, D., Norman, K. A., Hasson, U., & Chen, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116658 · Cited by 30 · see citing works
Self-citationModeling the neurodynamic organizations and interactions of teams
Stevens, R. H., & Galloway, T. L. (2016) · Social Neuroscience · doi:10.1080/17470919.2015.1056883 · Cited by 29 · see citing works
Differential inter-subject correlation of brain activity when kinship is a variable in moral dilemma
Bacha‐Trams, M., Glerean, E., Dunbar, R., Lahnakoski, J. M., Ryyppö, E., Sams, M. E., & Jääskeläinen, I. P. (2017) · Scientific Reports · doi:10.1038/s41598-017-14323-x · Cited by 28 · see citing works
Consensus-building conversation leads to neural alignment
Sievers, B., Welker, C., Hasson, U., Kleinbaum, A. M., & Wheatley, T. (2020) · doi:10.31234/osf.io/562z7 · Cited by 25 · see citing works
Self-citationTei, S., Kauppi, J., Fujino, J., Jankowski, K. F., Kawada, R., Murai, T., & Takahashi, H. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.07.006 · Cited by 22 · see citing works
Heidlmayr, K. D.-M., Weber, K., Takashima, A., & Peter Hagoort, A. (2020) · Cortex · doi:10.1016/j.cortex.2020.04.035 · Cited by 11 · see citing works
Chang, C. H. C., Lazaridi, C., Yeshurun, Y., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.16.908731 · Cited by 9 · see citing works
Self-citationMerged Minds: Generalized Shared Reality in Interpersonal Relationships
Rossignac‐Milon, M. (2019) · doi:10.7916/d8-0a39-k290 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Serre, T. in Encyclopedia of Computational Neuroscience (eds Jaeger, D. & Jung, R.) 1–12 (Springer, 2013).
- Dodel, S. et al. in Foundations of Augmented Cognition. Directing the Future of Adaptive Systems (eds Schmorrow, D. D. & Fidopiastis, C. M.) 288–297 (Springer, 2011).
Cited by
Sorted by citations
20 years of the default mode network: A review and synthesis.
Menon, V. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.023 · Cited by 934 · see citing works
“…98 with neural patterns that generalize across both internally and externally driven boundaries being most strongly observed in the PCC and RSC. 47,72,99 The mechanisms by which neural representations may be transmitted and integrated to create new global states in the human brain are not yet…”
BackgroundInfluentialA Synergistic Core for Human Brain Evolution and Cognition
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Holland, N., Fryer, T. D., O’Brien, J. T., Rowe, J. B., Menon, D. K., Bor, D., & Stamatakis, E. A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01070-0 · Cited by 314 · see citing works
Default Mode Network Modulation by Psychedelics: A Systematic Review
Gattuso, J. J., Perkins, D., Ruffell, S., Lawrence, A. J., Hoyer, D., Jacobson, L. H., Timmermann, C., Castle, D., Rossell, S. L., Downey, L. A., et al. (2023) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyac074 · Cited by 256 · see citing works
Intrinsic neural timescales: temporal integration and segregation
Wolff, A., Berberian, N., Golesorkhi, M., Gómez‐Pilar, J., Zilio, F., & Northoff, G. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.11.007 · Cited by 242 · see citing works
The brain and its time: intrinsic neural timescales are key for input processing
Golesorkhi, M., Gomez-Pilar, J., Zilio, F., Berberian, N., Wolff, A., Yagoub, M. C. E., & Northoff, G. (2021) · Communications Biology · doi:10.1038/s42003-021-02483-6 · Cited by 198 · see citing works
Menon, V., Palaniyappan, L. K., & Supekar, K. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.09.029 · Cited by 161 · see citing works
Cardiac sympathetic-vagal activity initiates a functional brain–body response to emotional arousal
Candia‐Rivera, D., Catrambone, V., Thayer, J. F., Gentili, C., & Valenza, G. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2119599119 · Cited by 163 · see citing works
Singleton, S. P., Luppi, A. I., Carhart-Harris, R. L., Cruzat, J., Roseman, L., Nutt, D., Deco, G., Kringelbach, M. L., Stamatakis, E. A., & Kuceyeski, A. F. (2022) · Nature Communications · doi:10.1038/s41467-022-33578-1 · Cited by 146 · see citing works
Northoff, G., & Zilio, F. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.113788 · Cited by 141 · see citing works
Arioli, M., Cattaneo, Z., Ricciardi, E., & Canessa, N. (2021) · Human Brain Mapping · doi:10.1002/hbm.25570 · Cited by 136 · see citing works
Interbrain synchrony: on wavy ground
Holroyd, C. B. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.02.002 · Cited by 132 · see citing works
Cheng, Y., Cai, H., Liu, S., Yang, Y., Pan, S.-S., Zhang, Y., Mo, F., Yu, Y., & Zhu, J. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.07.021 · Cited by 122 · see citing works
Kringelbach, M. L., Perl, Y. S., Tagliazucchi, E., & Deco, G. (2023) · Science Advances · doi:10.1126/sciadv.ade6049 · Cited by 105 · 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
The anterior thalamic nuclei: core components of a tripartite episodic memory system
Aggleton, J. P., & O’Mara, S. M. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00591-8 · Cited by 112 · see citing works
Predicting memory from the network structure of naturalistic events
Lee, H., & Chen, J. (2022) · Nature Communications · doi:10.1038/s41467-022-31965-2 · 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
Self-citationRocca, M. A., Schoonheim, M. M., Valsasina, P., Geurts, J. J. G., & Filippi, M. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103076 · Cited by 99 · see citing works
Decoding cognition from spontaneous neural activity
Liu, Y., Nour, M. M., Schuck, N. W., Behrens, T. E. J., & Dolan, R. J. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00570-z · Cited by 100 · see citing works
Schoonheim, M. M., Broeders, T. A. A., & Geurts, J. J. G. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103108 · Cited by 90 · see citing works
Functional neuroimaging in psychiatry and the case for failing better
Nour, M. M., Liu, Y., & Dolan, R. J. (2022) · Neuron · doi:10.1016/j.neuron.2022.07.005 · Cited by 88 · see citing works
Women’s neuroplasticity during gestation, childbirth and postpartum
Paternina-Die, M., Martínez‐Garcia, M., de Blas, D. M., Noguero-Soler, I., Servin-Barthet, C., Pretus, C., Soler, A., Montoya, G. L., Desco, M., & Carmona, S. (2024) · Nature Neuroscience · doi:10.1038/s41593-023-01513-2 · Cited by 96 · see citing works
In-degree centrality in a social network is linked to coordinated neural activity
Baek, E. C., Hyon, R., López, K., Finn, E. S., Porter, M. A., & Parkinson, C. M. (2022) · Nature Communications · doi:10.1038/s41467-022-28432-3 · Cited by 90 · see citing works
The self on its axis: a framework for understanding depression
Davey, C. G., & Harrison, B. J. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01790-8 · Cited by 85 · see citing works
Association between migraine and cognitive impairment
Gu, L., Wang, Y., & Shu, H. (2022) · The Journal of Headache and Pain · doi:10.1186/s10194-022-01462-4 · Cited by 75 · see citing works
Early detection of dementia with default-mode network effective connectivity
Ereira, S., Waters, S., Razi, A., & Marshall, C. R. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00259-5 · Cited by 73 · see citing works
Schilbach, L., & Redcay, E. (2025) · Annual Review of Psychology · doi:10.1146/annurev-psych-080123-101149 · Cited by 71 · see citing works
Paquola, C., Garber, M., Frässle, S., Royer, J., Zhou, Y., Tavakol, S., Rodríguez‐Cruces, R., Cabalo, D. G., Valk, S. L., Eickhoff, S. B., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-024-01868-0 · Cited by 95 · see citing works
Cognitive and Neural State Dynamics of Narrative Comprehension
Song, H., Park, B., Park, H., & Shim, W. M. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0037-21.2021 · Cited by 81 · see citing works
Activation network mapping for integration of heterogeneous fMRI findings
Peng, S., Xu, P., Jiang, Y., & Gong, G. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01371-1 · Cited by 68 · see citing works
A Distributed Network for Multimodal Experiential Representation of Concepts
Tong, J., Binder, J. R., Humphries, C., Mazurchuk, S., Conant, L. L., & Fernandino, L. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1243-21.2022 · Cited by 67 · see citing works
The Journey of the Default Mode Network: Development, Function, and Impact on Mental Health
Azarias, F. R., Almeida, G. H. D. R., de Melo, L. F., Rici, R. E. G., & Maria, D. A. (2025) · Biology · doi:10.3390/biology14040395 · Cited by 88 · see citing works
Teacher–student neural coupling during teaching and learning
Nguyen, M., Chang, A. E., Micciche, E. T., Meshulam, M., Nastase, S. A., & Hasson, U. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab103 · Cited by 67 · see citing works
Self-citationHahamy, A., Dubossarsky, H., & Behrens, T. E. J. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01331-6 · Cited by 66 · see citing works
Cluttered memory representations shape cognition in old age
Amer, T., Wynn, J. S., & Hasher, L. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.12.002 · Cited by 65 · see citing works
Perceptual coupling and decoupling of the default mode network during mind-wandering and reading
Zhang, M., Bernhardt, B. C., Wang, X., Varga, D., Krieger‐Redwood, K., Royer, J., Rodríguez‐Cruces, R., de Wael, R. V., Margulies, D. S., Smallwood, J., et al. (2022) · eLife · doi:10.7554/elife.74011 · Cited by 64 · see citing works
Menon, V., Cerri, D., Lee, B., Yuan, R., Lee, S.-H., & Shih, Y.-Y. I. (2023) · Nature Communications · doi:10.1038/s41467-023-36616-8 · Cited by 53 · see citing works
Song, H., Shim, W., & Rosenberg, M. (2022) · bioRxiv · doi:10.7554/elife.85487 · Cited by 62 · see citing works
How Does the “Default Mode” Network Contribute to Semantic Cognition?
Fernandino, L., & Binder, J. R. (2024) · Brain and Language · doi:10.1016/j.bandl.2024.105405 · Cited by 59 · see citing works
Dynamics of amygdala connectivity in bipolar disorders: a longitudinal study across mood states
Rey, G., Bolton, T. A. W., Gaviria, J., Piguet, C., Preti, M. G., Favre, S., Aubry, J., Ville, D. V. D., & Vuilleumier, P. O. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01038-x · Cited by 55 · see citing works
Ongoing Brain Activity and Its Role in Cognition: Dual versus Baseline Models
Northoff, G., Vatansever, D., Scalabrini, A., & Stamatakis, E. A. (2022) · The Neuroscientist · doi:10.1177/10738584221081752 · Cited by 56 · see citing works
Relational neuroscience: Insights from hyperscanning research
Felice, S. D., Chand, T., Croy, I., Engert, V., Goldstein, P., Holroyd, C. B., Kirsch, P., Krach, S., Ma, Y., Scheele, D., et al. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105979 · Cited by 64 · see citing works
Yuan, S., Wu, H., Wu, Y., Xu, H., Yu, J., Zhong, Y., Zhang, N., Li, J., Xu, Q., & Wang, C. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.853804 · Cited by 54 · see citing works
Wolman, A., Çatal, Y., Wolff, A., Wainio‐Theberge, S., Scalabrini, A., Ahmadi, A. E., & Northoff, G. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119896 · Cited by 53 · see citing works
Lonely Individuals Process the World in Idiosyncratic Ways
Baek, E. C., Hyon, R., López, K., Du, M., Porter, M. A., & Parkinson, C. M. (2023) · Psychological Science · doi:10.1177/09567976221145316 · Cited by 54 · see citing works
Neural patterns differentiate traumatic from sad autobiographical memories in PTSD
Perl, O., Duek, O. A., Kulkarni, K. R., Kelmendi, B., Amen, S. L., Gordon, C., Krystal, J. H., Levy, I., Harpaz‐Rotem, I., & Schiller, D. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01483-5 · Cited by 54 · see citing works
Learning consistent representations with temporal and causal enhancement for knowledge tracing
Huang, C., Wei, H.-W., Huang, Q., Jiang, F., Han, Z., & Huang, X. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.123128 · Cited by 57 · see citing works
Closing the mechanistic gap: the value of microarchitecture in understanding cognitive networks
Paquola, C., Amunts, K., Evans, A. C., Smallwood, J., & Bernhardt, B. C. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.07.001 · Cited by 51 · see citing works
The functions of sleep: A cognitive neuroscience perspective
Simon, K. C. N. S., Nadel, L., & Payne, J. D. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2201795119 · Cited by 57 · see citing works
Social Withdrawal, Loneliness, and Health in Schizophrenia: Psychological and Neural Mechanisms
Fulford, D., & Holt, D. J. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad099 · Cited by 53 · see citing works
Using mobile brain/body imaging to advance research in arts, health, and related therapeutics
King, J., & Parada, F. J. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.15313 · Cited by 52 · see citing works
Default mode network scaffolds immature frontoparietal network in cognitive development
Chen, M., He, Y., Lei, H. C., Xu, J., Tian, T., Peng, S., Zhao, G., Lu, J., Zhao, Y., Zhao, H., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac414 · Cited by 52 · see citing works
Neural synchrony predicts children's learning of novel words
Piazza, E. A., Cohen, A., Trach, J. E., & Lew‐Williams, C. (2021) · Cognition · doi:10.1016/j.cognition.2021.104752 · Cited by 51 · see citing works
The Hippocampal Horizon: Constructing and Segmenting Experience for Episodic Memory
Ross, T. W., & Easton, A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.038 · Cited by 49 · see citing works
Tasks activating the default mode network map multiple functional systems
Mancuso, L., Cavuoti-Cabanillas, S., Liloia, D., Manuello, J., Buzi, G., Duca, S., Cauda, F., & Costa, T. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02467-0 · Cited by 53 · see citing works
Neural representations of naturalistic events are updated as our understanding of the past changes
Zadbood, A., Nastase, S. A., Chen, J., Norman, K. A., & Hasson, U. (2022) · eLife · doi:10.7554/elife.79045 · Cited by 49 · see citing works
Self-citationA synergistic workspace for human consciousness revealed by Integrated Information Decomposition
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Allanson, J. E., Pickard, J. D., Carhart-Harris, R. L., Williams, G. B., Craig, M. M., Finoia, P., Owen, A. M., et al. (2023) · eLife · doi:10.7554/elife.88173 · Cited by 111 · see citing works
The Brain Is Adaptive Not Triune: How the Brain Responds to Threat, Challenge, and Change
Steffen, P. R., Hedges, D., & Matheson, R. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.802606 · Cited by 48 · see citing works
Dynamic subcortical modulators of human default mode network function
Harrison, B. J., Davey, C. G., Savage, H. S., Jamieson, A. J., Leonards, C. A., Moffat, B. A., Glarin, R. K., & Steward, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab487 · Cited by 43 · see citing works
Shared Festival Tourism Experiences: The Power and Purpose of Remembering Together
Wood, E. H., Kinnunen, M., Moss, J., & Li, Y. (2023) · Journal of Travel Research · doi:10.1177/00472875231158591 · Cited by 44 · see citing works
Social Isolation, Brain Food Cue Processing, Eating Behaviors, and Mental Health Symptoms
Zhang, X., Ravichandran, S., Gee, G. C., Dong, T. S., Beltrán‐Sánchez, H., Wang, M. C., Kilpatrick, L. A., Labus, J. S., Vaughan, A., & Gupta, A. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.4855 · Cited by 44 · see citing works
A synergistic workspace for human consciousness revealed by Integrated Information Decomposition
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Allanson, J. E., Pickard, J. D., Carhart-Harris, R. L., Williams, G. B., Craig, M. M., Finoia, P., Owen, A. M., et al. (2024) · eLife · doi:10.7554/elife.88173.4 · Cited by 41 · see citing works
A Synergistic Workspace for Human Consciousness Revealed by Integrated Information DecompositionPreprint
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Allanson, J. E., Pickard, J. D., Carhart-Harris, R. L., Williams, G. B., Craig, M. M., Finoia, P., Owen, A. M., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.25.398081 · Cited by 43 · see citing works
Functional networks in prolonged disorders of consciousness
Li, H., Zhang, X., Sun, X., Dong, L., Lu, H., Yue, S., & Zhang, H. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1113695 · Cited by 38 · see citing works
Cortical gradients during naturalistic processing are hierarchical and modality-specific
Samara, A., Eilbott, J. A., Margulies, D. S., Xu, T., & Vanderwal, T. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120023 · Cited by 37 · see citing works
Beyond task response—Pre-stimulus activity modulates contents of consciousness
Northoff, G., Zilio, F., & Zhang, J. (2024) · Physics of Life Reviews · doi:10.1016/j.plrev.2024.03.002 · Cited by 37 · see citing works
Li, Y., Yu, X., Ma, Y., Su, J., Li, Y., Zhu, S., Bai, T., Wei, Q., Becker, B., Ding, Z., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac311 · Cited by 36 · see citing works
Replay-triggered brain-wide activation in humans
Huang, Q., Xiao, Z., Yu, Q., Luo, Y., Xu, J., Qu, Y., Dolan, R. J., Behrens, T. E. J., & Liu, Y. (2024) · Nature Communications · doi:10.1038/s41467-024-51582-5 · Cited by 44 · see citing works
Dourron, H. M., Strauss, C. K., & Hendricks, P. S. (2022) · Pharmacological Reviews · doi:10.1124/pharmrev.121.000514 · Cited by 31 · see citing works
Early auditory processing dysfunction in schizophrenia: Mechanisms and implications
Dondé, C., Kantrowitz, J. T., Medalia, A. A., Saperstein, A. M., Balla, A., Sehatpour, P., Martı́nez, A., O’Connell, M. N., & Javitt, D. C. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105098 · Cited by 35 · see citing works
Individual differences in neural event segmentation of continuous experiences
Sava‐Segal, C., Richards, C., Leung, M., & Finn, E. S. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad106 · Cited by 34 · see citing works
Connecting brain and mind through temporo-spatial dynamics: Towards a theory of common currency
Northoff, G., Buccellato, A., & Zilio, F. (2024) · Physics of Life Reviews · doi:10.1016/j.plrev.2024.11.012 · Cited by 40 · see citing works
“Project for a Spatiotemporal Neuroscience” – Brain and Psyche Share Their Topography and Dynamic
Northoff, G., & Scalabrini, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.717402 · Cited by 33 · see citing works
Sun, X., Huang, W., Wang, J., Xu, R., Zhang, X., Zhou, J., Zhu, J., & Qian, Y. (2023) · Psychological Medicine · doi:10.1017/s0033291722003750 · Cited by 33 · see citing works
Spatiotemporal patterns of spontaneous brain activity: a mini-review
Meyer-Baese, L., Watters, H. N., & Keilholz, S. D. (2022) · Neurophotonics · doi:10.1117/1.nph.9.3.032209 · Cited by 34 · see citing works
Aberrant brain dynamics in major depressive disorder with suicidal ideation
Yang, J., Liu, Z., Tao, H., Cheng, Y., Fan, Z., Sun, F., Ouyang, X., & Yang, J. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.07.043 · Cited by 34 · see citing works
Baek, E. C., & Parkinson, C. M. (2022) · Social and Personality Psychology Compass · doi:10.1111/spc3.12710 · Cited by 33 · see citing works
Zhang, L., Wang, X., Alain, C., & Du, Y. (2023) · Science Advances · doi:10.1126/sciadv.adg7056 · Cited by 34 · see citing works
Intrinsic timescales and predictive allostatic interoception in brain health and disease
Ibanez, A., & Northoff, G. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105510 · Cited by 36 · see citing works
DiNicola, L. M., Ariyo, O., & Buckner, R. L. (2022) · Journal of Neurophysiology · doi:10.1152/jn.00211.2022 · Cited by 31 · see citing works
Luo, Q., & Shao, R. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad029 · Cited by 32 · see citing works
Chaotic neural dynamics facilitate probabilistic computations through sampling
Terada, Y., & Toyoizumi, T. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2312992121 · Cited by 34 · see citing works
Mohan, A., Luckey, A. M., Weisz, N., & Vanneste, S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118813 · Cited by 35 · see citing works
Cuesta, P., Ochoa‐Urrea, M., Funke, M. E., Hasan, O., Zhu, P., Marcos, A., López, M. E., Schulz, P. E., Lhatoo, S. D., Pantazis, D., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac012 · Cited by 34 · see citing works
Scale‐free dynamics of core‐periphery topography
Klar, P., Çatal, Y., Langner, R., Huang, Z., & Northoff, G. (2022) · Human Brain Mapping · doi:10.1002/hbm.26187 · Cited by 32 · see citing works
Northoff, G., Klar, P., Bein, M., & Safron, A. (2023) · Interface Focus · doi:10.1098/rsfs.2022.0076 · Cited by 32 · see citing works
Singleton, S. P., Luppi, A. I., Carhart-Harris, R. L., Cruzat, J., Roseman, L., Nutt, D. J., Deco, G., Kringelbach, M. L., Stamatakis, E. A., & Kuceyeski, A. F. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.14.444193 · Cited by 30 · see citing works
Shan, X., Uddin, L. Q., Ma, R., Xu, P., Xiao, J., Li, L., Huang, X., Yu, F., He, C., Chen, H., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.09.012 · Cited by 34 · see citing works
Lord, B., Sanguinetti, J. L., Ruiz, L., Miskovic, V., Segre, J., Young, S., Fini, M. E., & Allen, J. J. B. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1392199 · Cited by 31 · see citing works
Neural representation of the parent–child attachment from infancy to adulthood
Ulmer-Yaniv, A., Waidergoren, S., Shaked, A., Salomon, R., & Feldman, R. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab132 · Cited by 31 · see citing works
The ‘L-factor’: Language as a transdiagnostic dimension in psychopathology
Hinzen, W., & Palaniyappan, L. K. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.110952 · Cited by 29 · see citing works
Neurodynamics of Relational Aesthetic Engagement in Creative Arts Therapies
Vaisvaser, S., King, J. L., Orkibi, H., & Aleem, H. (2024) · Review of General Psychology · doi:10.1177/10892680241260840 · Cited by 30 · see citing works
Neural synchronization as a function of engagement with the narrative
Ohad, T., & Yeshurun, Y. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120215 · Cited by 32 · see citing works
Self-citationA role for the serotonin 2A receptor in the expansion and functioning of human transmodal cortex
Luppi, A. I., Girn, M., Rosas, F. E., Timmermann, C., Roseman, L., Erritzøe, D., Nutt, D., Stamatakis, E. A., Spreng, R. N., Xing, L., et al. (2023) · Brain · doi:10.1093/brain/awad311 · Cited by 30 · see citing works
Zhang, H., Yang, S., Qiao, Y., Ge, Q., Tang, Y., Northoff, G., & Zang, Y. (2022) · Human Brain Mapping · doi:10.1002/hbm.26024 · Cited by 27 · see citing works
Feng, C., Gu, R., Li, T., Wang, L., Zhang, Z., Luo, W., & Eickhoff, S. B. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.09.041 · Cited by 28 · see citing works
The dark side of creativity: Neural correlates of malevolent creative idea generation
Gao, Z., Cheng, L., Li, J., Chen, Q., & Hao, N. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2022.108164 · Cited by 27 · see citing works
Zhang, H., Chung, T. W., Wong, F. K.-C., Hung, I. F., & Mak, H. K. (2022) · Brain Sciences · doi:10.3390/brainsci12040511 · Cited by 27 · see citing works
Buccellato, A., Zang, D., Zilio, F., Gomez-Pilar, J., Wang, Z., Qi, Z., Zheng, R., Xu, Z., Wu, X., Bisiacchi, P., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2022.119802 · Cited by 24 · see citing works
Neural systems underlying RDoC social constructs: An activation likelihood estimation meta-analysis
Lobo, R. P., Bottenhorn, K. L., Riedel, M. C., Toma, A. I., Hare, M. M., Smith, D. D., Moor, A. C., Cowan, I., Valdes, J. A., Bartley, J. E., et al. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104971 · Cited by 26 · see citing works
- Authors
- Yeshurun, Y., Nguyen, M., & Hasson, U.
- Affiliations
- Tel Aviv University (IL)
- Corresponding author
- Yeshurun, Yaara
- Hasson, Uri
- Venue
- Nature Reviews Neuroscience
- Published
- 2021-01-22
- Volume
- 22
- Issue
- 3
- Pages
- 181-192
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC7959111
- OpenAlex
- W3124266865
- Semantic Scholar
- 8e557932685d74b99d485eb4e7caccac4dc1394a
- Cited by
- 682
- References
- 156
- Citations by year
- 2026: 94 · 2025: 141 · 2024: 148 · 2023: 125 · 2022: 127 · 2021: 44 · 2020: 2 · 2016: 1
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH112566)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (DP1HD091948)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- default mode network, extrinsic information, sensemaking, shared meaning, social cognition, memory integration, narrative comprehension, naturalistic stimuli, social networks
- MeSH terms
- Default Mode Network, Animals, Cognition, Communication, Ego, Humans, Nerve Net, Nervous System Physiological Phenomena, Neural Pathways
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 2026-10-05.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-05.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review