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Journal ArticleDOI

Establishing propositional truth-value in counterfactual and real-world contexts during sentence comprehension: differential sensitivity of the left and right inferior frontal gyri.

15 Feb 2012-NeuroImage (Academic Press)-Vol. 59, Iss: 4, pp 3433-3440
TL;DR: The fMRI study investigated the neural circuits that are sensitive to the propositional truth-value of sentences about counterfactual worlds, aiming to reveal differential hemispheric sensitivity of the inferior prefrontal gyri tocounterfactual truth- Value and real-world truth- value.
About: This article is published in NeuroImage.The article was published on 2012-02-15 and is currently open access. It has received 32 citations till now. The article focuses on the topics: Counterfactual conditional & Counterfactual thinking.

Summary (3 min read)

Introduction

  • Language is a computationally remarkable, uniquely human system, not to mention their principal and most efficient means of communication.
  • These findings testify to the fact that an extended network of brain regions is sensitive to sentence truth-value, even if participants are not explicitly instructed to establish truth-value.

Participants

  • Twenty-eight right-handed students (14 males, mean age=22.9 - years) participated in this study for monetary compensation.
  • All participants were native Spanish speakers, had normal or corrected-to- normal vision, and gave written informed consent.
  • Participants had no neurological or psychiatric disorders, nor had they seen the materials before in an earlier experiment.
  • Four participants were excluded from the final analysis due to excessive movement during the experiment.

Development and pretest of materials

  • Materials were identical to those used by Nieuwland and Martin (2012), and were selected from 133 Spanish sentence quadruplets with two counterfactual and two real-world sentences (see Table 1).
  • Counterfactual sentences described hypothetical consequences of common-knowledge historical events not having taken place, whereas real-world sentences described actual consequences of these events.
  • The authors first established the expectedness of critical words.
  • Twenty students of the University of the Basque Country completed one of two lists with one version of each item truncated before the critical word.
  • Twentyfour different students evaluated one of four counterbalanced sentence lists containing only one condition per quadruplet, and decided whether the sentences were true (1=False, 7=True), skipping any they could not evaluate.

Experimental procedure

  • While inside the scanner, participants read sentences presented via back-projection onto the middle of the screen, and would view the stimuli via a mirror attached to the head coil.
  • Moreover, while Tesink et al. reported effects of truth-value of single sentences, the Menenti et al. study involved multi-sentence stories rather than single sentences, and the reported coordinates in that study might thus not be optimal for the comparisons in the current study.
  • FMRI data acquisition, preprocessing and analysis Imaging took place on a 3-T MR scanner (Siemens TrioTim) with echoplanar imaging capability.
  • Each subject then viewed one of the four counterbalanced sentence lists with the sentence trials and fixation trials, across six functional runs.
  • The explanatory variables were modeled as a fixed response (box-car) waveform temporally convolved with the canonical HRF along with its temporal derivative (Friston et al., 1998), while controlling for serial correlations.

Region-of-interest analysis

  • Given the a priori hypothesis about the role of the IFG, a region-ofinterest (ROI) analysis was performed using the Marsbar toolbox (Brett et al., 2002) by extracting average parameter estimates per condition and per subject for 2 LIFG ROIs and their right hemisphere counterparts.
  • These ROIs were based on the results of a related study that reported activations within different subregions of the left and right IFG (pars orbitalis/triangularis; BA 45/47) for world knowledge violations in healthy adults during sentence processing (Tesink et al., 2011; see also Tesink et al., 2009, for similar results).
  • A 2(Context: counterfactual, real-world) by 2(Propositional truth-value: true, false) by 2(hemisphere: left, right) repeated measures analysis of variance was performed on the extracted parameter estimates per ROI.

Whole-brain analysis

  • The whole-brain analysis did not reveal any significant clusters for the interaction between Context and Propositional truth-value.
  • Consistent with the absence of a significant Context by Propositional truth-value interaction effect, the false minus true contrast elicited similar activation increases for counterfactual and real-world sentences (see Table 3 and Fig. 2).
  • These clusters were located in left and right inferior frontal gyrus (LIFG and RIFG, BA 45 and BA 47) extending into the middle frontal gyrus (MFG, BA 8/9), left middle temporal gyrus (MTG, BA 21), medial parts of the superior frontal gyrus (SFG, BA 6/8), and the left inferior parietal lobule (IPL, BA 40).
  • Consistent with the main effect of context, the contrast (Counterfactual False>Real-world False) elicited a significant cluster in LMTG (k=440, peak voxel coordinates [−48 −32 4]), as did the contrast (Counterfactual True>Real-world True) (k=1421, peak voxel coordinates [−50 −24 −14]).

ROI analysis

  • Differences in parameter estimates corresponding to the effect of truth-value (false minus true sentences) per sentence type and ROI are plotted in Fig. 1b.
  • This differential effect of truth-value in the right BA 47 ROI for the two sentence types was of a quantitative nature rather than a qualitative: the effect of truth-value was statistically significant for each sentence type, but it was stronger in counterfactual sentences (F(1,23)=6.83, pb .001) than in real-world sentences (F(1,23)=2.21, p=.037).
  • This difference was driven mainly by a large response to counterfactual false sentences, which was larger than the response to real-world false sentences (F(1,23)=3.59, p=.002), while the responses to counterfactual true and real-world true sentences did not differ (F(1,23)= 1.06, p=.31).

Discussion

  • This fMRI study investigated the neural circuits that are sensitive to the propositional truth-value of sentences about counterfactual worlds or about the real world, and aimed to reveal hemispheric differences between the inferior prefrontal gyri in processing counterfactual truth-value and real-world truth-value.
  • No such pattern was found for the left and right BA 45 ROIs.
  • The current larger sensitivity of the RIFG to counterfactual truth-value than to real-world truth-value may thus reflect increased semantic processing due to the semantic complexity of the counterfactual false sentences.
  • The larger effect in the RIFG for counterfactual truth-value is consistent with right hemisphere activations associated with comprehending contextual and figurative meaning and with complex sentences and discourse level processing (e.g., Kuperberg et al., 2006; Stringaris et al., 2006; Xu et al., 2005 see Jung-Beeman, 2005; Mason and Just, 2006).
  • First of all, these differences occurred before the critical words, and their effects were accounted for by separate.

MFG

  • Contexts may have been the use of historical counterfactual conditionals.
  • Whereas Menenti et al. created novel and unfamiliar fictional stories, alternative endings to known historical events may be more easily computed, for example because relevant information is also part of their real-world knowledge (e.g., the fact that the Soviets were also making substantial progress in landing somebody on the moon at the time that the USA managed to do so).
  • In the current study, counterfactual and real-world sentences elicited similar effects of truth-value in the left middle temporal gyrus.
  • These results may reflect increased semantic retrieval of relevant information in long-term memory (e.g., of the correct information) from medial temporal lobe, governed by the inferior prefrontal gyri (e.g., Bookheimer, 2002; Hagoort et al., 2009; Lau et al., 2008).
  • Interestingly, activity increases in this region have been reported for syntactic errors but not for semantic anomalies (they may even result in relative deactivations; e.g., Hagoort et al., 2004; Nieuwland et al., 2007, 2011; Tesink et al., 2009).

Acknowledgments

  • This research was supported by a Plan Nacional research grant from the Spanish Ministry of Science and Innovation (grant number PSI2010-18087) to MSN.
  • Many thanks to Javi Miqueleiz for help with stimulus construction, to Natalia Barrios and Larraitz Lopez for help with data collection, and to two anonymous reviewers and Andrea Eyleen Martin for comments on an earlier version of this manuscript.

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Citations
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Journal ArticleDOI
TL;DR: It is proposed that counterfactual thinking depends on an integrative network of systems for affective processing, mental simulation, and cognitive control that together enable adaptive behavior and goal-directed decision making and make recommendations for the study ofcounterfactual inference in health, aging, and disease.
Abstract: Counterfactual reasoning is a hallmark of human thought, enabling the capacity to shift from perceiving the immediate environment to an alternative, imagined perspective. Mental representations of counterfactual possibilities (e.g., imagined past events or future outcomes not yet at hand) provide the basis for learning from past experience, enable planning and prediction, support creativity and insight, and give rise to emotions and social attributions (e.g., regret and blame). Yet remarkably little is known about the psychological and neural foundations of counterfactual reasoning. In this review, we survey recent findings from psychology and neuroscience indicating that counterfactual thought depends on an integrative network of systems for affective processing, mental simulation, and cognitive control. We review evidence to elucidate how these mechanisms are systematically altered through psychiatric illness and neurological disease. We propose that counterfactual thinking depends on the coordination of multiple information processing systems that together enable adaptive behavior and goal-directed decision making and make recommendations for the study of counterfactual inference in health, aging, and disease.

65 citations


Cites background from "Establishing propositional truth-va..."

  • ...That counterfactual reasoning is strongly constraint by prior knowledge explains the increased engagement of the lateral temporal lobe (Nieuwland, 2012; Urrutia et al., 2012; Van Hoeck et al., 2013, 2014)....

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  • ...…that supports core processes for mentally undoing the present state of affairs and imagining alternative realities ‘‘if only’’ different decisions were made or actions taken (e.g., Nieuwland, 2012; Urrutia et al., 2012; De Brigard et al., 2013; Kulakova et al., 2013; Van Hoeck et al., 2013, 2014)....

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  • ...We suggest that the hippocampus is more likely to be engaged during counterfactual thinking in situations requiring extensive arbitrary relational binding (Nieuwland, 2012; Urrutia et al., 2012; De Brigard et al., 2013; Kulakova et al., 2013; Van Hoeck et al., 2013, 2014)....

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  • ...…processing counterfactual information (e.g., Coricelli et al., 2005, 2007; Chua et al., 2009; Fujiwara et al., 2009; Van Hoeck et al., 2010, 2014; Nieuwland, 2012; Xue et al., 2012; De Brigard et al., 2013), but this representational role seems to be in service of executive, goal-directed…...

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Journal ArticleDOI
TL;DR: The results suggest that different brain mechanisms are involved in the simulation of personal and impersonal counterfactual thoughts, and that the extent to which regions associated with autobiographical memory are recruited during the Simulation of Counterfactuals involving others depends on the perceived similarity and familiarity with the simulated individuals.

51 citations


Cites background or result from "Establishing propositional truth-va..."

  • ...…of semantic evaluation of non-autobiographical hypothetical and counterfactual statements show relatively little involvement of DN regions (Nieuwland, 2012; Kulakova et al., 2013), further suggesting that object-based counterfactual simulations may primarily recruit processes outside the…...

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  • ...…simulation is sufficient to engage the DN. Reduced activation of DN regions during object- versus personbased counterfactual simulations is consistent with findings in sentence-comprehension tasks involving counterfactual statements, which tend to recruit processes outside of DN (Nieuwland, 2012)....

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Journal ArticleDOI
TL;DR: It is suggested that the left inferior frontal gyrus (lIFG) plays a major role in the interplay between the evaluation and generation networks and that inhibiting this region’s activity may have an effect on “releasing” the generation neural network, resulting in greater originality.
Abstract: Human creative cognition is commonly described as a twofold cyclic process that involves an idea generation phase and an idea evaluation phase. Although the evaluation phase makes a crucial contribution to originality, its underlying mechanisms have not received sufficient research attention. Here, we suggest that the left inferior frontal gyrus (lIFG) plays a major role in the interplay between the evaluation and generation networks and that inhibiting this region's activity may have an effect on "releasing" the generation neural network, resulting in greater originality. To examine the neural networks that mediate the generation and evaluation of ideas, we conducted an fMRI experiment on a group of healthy human participants (Study 1), in which we compared an idea generation task to an idea evaluation task. We found that evaluating the originality of ideas is indeed associated with a relative increase in lIFG activation, as opposed to generating original ideas. We further showed that temporarily inhibiting the lIFG using continuous theta-burst stimulation (Study 2) results in less strict evaluation on the one hand and increased originality scores on the other. Our findings provide converging evidence from multiple methods to show that the lIFG participates in evaluating the originality of ideas.

48 citations


Cites background from "Establishing propositional truth-va..."

  • ...For example, the lIFG was found to be sensitive to false sentences (Nieuwland 2012), judgment of congruent vs....

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  • ...For example, the lIFG was found to be sensitive to false sentences (Nieuwland 2012), judgment of congruent vs. incongruent reasoning (Tsujii et al. 2011), planning novel articulations (McGettigan et al. 2013), semantic unification (Zhu et al. 2012), and ambiguous words (Hargreaves et al. 2011)....

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TL;DR: This study provides novel evidence concerning how the language and theory‐of‐mind networks interact for pragmatic inference and how the processing of CI is modulated by level of contextual relevance.

39 citations


Cites background from "Establishing propositional truth-va..."

  • ...As opposed to left hemisphere, right hemisphere is more sensitive to discourse modulation, such as textual coherence and discourse anomalies (Kuperberg et al., 2006; Menenti et al., 2009; Nieuwland, 2012)....

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  • ...…2004, 2007; Rapp, Mutschler, & Erb, 2012); in particular, right hemisphere is predominantly sensitive to coherence between the utterance and its context in discourse processing (Kuperberg, Lakshmanan, Caplan, & Holcomb, 2006; Menenti, Petersson, Scheeringa, & Hagoort, 2009; Nieuwland, 2012)....

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  • ...According to cognitive theories of text comprehension (e.g., Gernsbacher, 1997; Kintsch, 1988; Myers and O'Brien, 1998), comprehension of counterfactual language requires the suppression or inhibition of automatically activated world knowledge....

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Q1. What are the contributions in "Establishing propositional truth-value in counterfactual and real-world contexts during sentence comprehension: differential sensitivity of the left and right inferior frontal gyri" ?

This paper investigated the role of the left inferior frontal gyrus for counterfactual reasoning about what is in fact false as if it were true.