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Perspective taking modulates inter-subject correlated hemodynamic brain responses in movie watching
Yu Ching Lam1, Kuan-yi Lu1, Shu-Yu Huang1, and Fa-hsuan Lin1

1National Taiwan University, Taipei, Taiwan

Synopsis

We used function Magnetic Resonance Imaging (fMRI) to obtain the hemodynamic brain responses during perspective modulated naturalistic movie presentations to find the influence of perception to individual’s cognitive and affective reactions. Inter-subject correlation (ISC) was used as the analysis tool and Interpersonal Reactivity Index (IRI) was used as the behavioral measurement tool. The study applied selected group ISC analysis to distinguish neural substrates related to physical, cognitive, and affective perspective-taking using naturalistic perspective modulated movie presentation. The finding helps understanding the neural mechanism of perspective taking and would be a useful for future social cognition studies.

INTRODUCTION

Perspective taking (PT) is a skill of putting oneself into other's viewpoint. It is an important cognitive developmental component under the rubric of Theory of Mind (ToM) 1. The spectrum of perspective-taking included physical (or perceptual) perspective-taking (PP) 2, cognitive (or conceptual) perspective-taking (PT) 3, and emotional (or affective) perspective-taking (EC) 4,5. In this research, We used fMRI to obtain the hemodynamic brain responses during perspective modulated movie presentations. Inter-subject correlation (ISC) was used to analyze the synchronized brain activity during movie watching 6,7. While ISC is primarily applied to identify brain regions that are highly synchronized across subjects, we looked for regions that are not synchronized across all subjects but are highly synchronized across a selected group of participants. Interpersonal Reactivity Index (IRI) 8, a measurement categorizing individual’s reactions to stimuli into four subscales: perspective taking (PT) scale, empathic concern scale (EC), personal distress scale (PD) and fantasy scale (FS), was used as the behavioral measurement to contrast between subject group in the ISC analysis. We hypothesized that different sub-groups suggested by IRI exhibit different ISC. These sub-group specific synchronized brain regions suggest the neural correlates for the IRI categorization.

METHODS

Nineteen subjects (9 females; age between 20 to 30) were recruited to the fMRI experiment. Four separate movie clips were presented to the subjects during the fMRI scan. Movies clips consisted of two themes and were taken from two perspectives. Movie themes were “junk food consumption” (F) and “pet abandonment” (P). Two themes with the same story line were separately filmed with the first-person perspective (F1, P1) and third-person perspective (F3, P3). IRI written questionnaires were completed by the subjects right after the fMRI experiment.

The fMRI data were preprocessed by SPM and preprocessing including motion correction, slice timing correction, spatial smoothing, and normalization were performed separately for each subject and each session. The voxel-wise contrast of ISC between first (F1-P1) and third (F3-P3) person perspective was computed by a two-sample t-test on the pairwise correlation values of sessions. Contrast of ISC was also done to the selected groups of high versus low PT, EC, PD and FS scales with the same analysis.

RESULTS

The neural correlation contrast results were overlaid on the result of ISC of the combined BOLD time series [Figure1] to identify the brain regions that are selectively related to PP, PT, EC, PD and FS [Figure2]. PP modulation resulted in significant contrasts in the left superior parietal gyrus junction Precuneus and the right middle occipital gyrus junction angular gyrus. PT modulation resulted in significant contrasts in both sides of superior temporal gyrus. EC modulation resulted in significant contrasts in both sides of Calcarine, Precuneus and cuneus, Rolandic operculum, Heschl’s gyrus. PD modulation resulted in significant contrasts in the right supplementary motor area and superior temporal gyrus.

DISCUSSION

The purpose of the present work was to find the influence of perception to an individual’s cognitive and affective reactions. ISC was used to identify neural substrates that are common and distinct between types of stimulus and within chosen groups of subjects. Types of stimulus was modulated by naturalistic movie presentation in first and third person perspective (PP). Subject groupings were divided by their similarity in PT, EC, PD and FS, using IRI. The neural correlation contrast result of physical, cognitive, and affective perspective-taking were found around the temporal-parietal junction (TPJ) but in separable location, which aligns with most of the perspective-taking and empathy studies 2,5,9-14. The neural correlation contrast of PP appeared at regions that previously found to be visual-spatial information processing 15-17, egocentric and allocentric spatial control 18-21, self-reflection and self-judgement 22,23 areas. Further, modulating subject groupings in PT and EC yield a neural correlation contrast around to superior temporal gyrus and superior parietal gyrus and regions of different cognitive and emotional processing areas 5,24. The synchronization found in TPJ and the network of cognitive and emotional processing areas suggest that the perspective-taking spectrum expended, from the visual-spatial processing areas (PP), to TPJ and then spread to temporal cognitive (PT) and emotional (EC) processing areas. To reveal more about the relationships of PP, PT and EC, further studies is required on the connectivity and BOLD activity on these regions.

CONCLUSION

The study successfully applied selected group ISC analysis and IRI measurement tool to distinguish neural substrates related to physical, cognitive, and affective perspective-taking using naturalistic movie presentation with the modulation of perspectives. Besides understanding perspective taking more in depth, the neural correlation result would be a useful reference for future researches on cognitive and affective reactions in social cognition studies.

Acknowledgements

This work was partially supported by Ministry of Science and Technology, Taiwan (103-2628-B-002-002-MY3, 105-2221-E-002-104), and the Academy of Finland (No. 298131).

References

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Figures

ISC of the combined fMRI time series. Obtained from a 3T MRI scanner using an echo-planar imaging (EPI) sequence (TR / TE / flip angle = 2400ms / 30ms / 90°, FOV = 216 × 216 mm, slice thickness = 3.0mm, matrix = 64 x 64 x 42, voxel size = 3 × 3 × 3 mm). The anatomical images were acquired with the MPRAGE sequence (TR / TI / TE / flip = 2530ms /1100ms / 3.03ms / 7°, FOV = 22.4cm × 22.4cm, partition thickness = 1.0 mm, matrix = 256 × 256 x 192).

Neural correlation contrast results of PP (a), PT (b), EC (c), PD (d), and FS (e) overlaid on the ISC of the combined fMRI time series. Significant contrast (p < 0.001).

Proc. Intl. Soc. Mag. Reson. Med. 26 (2018)
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