A dual-fMRI investigation of interpersonal emotion regulation: Predicting strategy selection and implementation success from effective brain connectivity.
Paper
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The authors' code
MATLAB · 173 lines · 6.9 KB · no license
Experiment_020318_Analysis.m, no license · at the source
Overview
- Cajal Neuroscience Centre, Consejo Superior de Investigaciones Científicas, Madrid, Spain
- Institute of Psychology, Czech Academy of Sciences, Brno, Czechia
- Behavioural and Social Neuroscience Research Group, Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czechia
- Multi-modal and Functional Neuroimaging Research Group, Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czechia
- School of Psychology, University College Dublin, Dublin, Ireland
- School of Psychological Science, University of Haifa, Haifa, Israel
- School of Psychology, Aston University, Birmingham, United Kingdom
Abstract
Inter-personal emotion regulation (ER) is the social process whereby one individual (a “Regulator”) assists another (the “Target”) in regulating their emotional state. Despite the importance of inter-personal ER for maintaining well-being, very little is known about the neurocognitive mechanisms that support this process. In the present study, we performed functional magnetic resonance imaging on 23 pairs of Regulators and Targets whilst they engaged in a novel task designed to capture the two stages of inter-personal ER: the Regulator’s selection of an ER strategy to recommend and its subsequent implementation by an affiliate Target. This paradigm allowed us to investigate the brain systems supporting both stages of the inter-personal process and identify personality characteristics that might influence the inter-personal dynamic through these neurocognitive mechanisms. Results revealed largely overlapping patterns of brain response during Regulators’ selections and Targets’ implementation of ER strategies, encompassing medial and lateral prefrontal and temporo-parietal cortices. Moreover, by applying behavioural Dynamic Causal Modelling to the behavioural and brain data acquired during the task, we identified patterns of effective connectivity among these brain regions from which we could accurately estimate Regulators’ selections and their effectiveness in down-regulating Targets’ emotional responses. Lastly, certain network connections and the effectiveness of Regulators’ selections in down-regulating Targets’ emotion states were associated with two dissociable styles of self-directed (intra-personal) ER: failure- and decision-related action control.
Reproduced under the paper's license (CC BY), from the paper cited above.
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- 26 September 2026: the link answers (HTTP 200)
4 files, to read at the source
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- Analysis Scripts/
Experiment_020318_Analys — MATLAB, 173 lines, not shown hereis.m - Analysis Scripts/
Experiment_250218_Timing — MATLAB, 227 lines, not shown heres.m - Analysis Scripts/
LMM_Model_Comparisons_bD — R, 170 lines, not shown hereCM_Manuscript.R - Experimental Protocol/
Experiment_020817_Protoc — MATLAB, 414 lines, not shown hereol.m
The paper's code and data availability statement is in the Data section.
Tracing map
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Data
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Data and Code Availability
All experimental materials (e.g., stimulus list), procedure and analysis codes, and behavioural and brain imaging data are available publicly at https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 7 authors, 6 keywords, 12 MeSH terms, 3 funders, 85 references.
Cite
This paper
Ngombe, N., Czekóová, K., Gajdoš, M., Kessler, K., Brázdil, M., Shamay-Tsoory, S., & Shaw, D. J. (2026). A dual-fMRI investigation of interpersonal emotion regulation: Predicting strategy selection and implementation success from effective brain connectivity. Imaging neuroscience (Cambridge, Mass.), 4, IMAG.a.1360. https://
BibTeX
@article{ngombe2026dual,
author = {Ngombe, Nicola and Czekóová, Kristína and Gajdoš, Martin and Kessler, Klaus and Brázdil, Milan and Shamay-Tsoory, Simone and Shaw, Daniel Joel},
title = {{A dual-fMRI investigation of interpersonal emotion regulation: Predicting strategy selection and implementation success from effective brain connectivity}},
journal = {Imaging neuroscience (Cambridge, Mass.)},
year = {2026},
month = sep,
volume = {4},
pages = {IMAG.a.1360},
publisher = {MIT Press},
issn = {2837-6056},
doi = {10.1162/
url = {https://
pmid = {42746564},
pmcid = {PMC13576947}
}
RIS
TY - JOUR
AU - Ngombe, Nicola
AU - Czekóová, Kristína
AU - Gajdoš, Martin
AU - Kessler, Klaus
AU - Brázdil, Milan
AU - Shamay-Tsoory, Simone
AU - Shaw, Daniel Joel
TI - A dual-fMRI investigation of interpersonal emotion regulation: Predicting strategy selection and implementation success from effective brain connectivity
T2 - Imaging neuroscience (Cambridge, Mass.)
J2 - Imaging Neurosci (Camb)
PY - 2026
DA - 2026/
VL - 4
SP - IMAG.a.1360
SN - 2837-6056
PB - MIT Press
DO - 10.1162/
UR - https://
LA - en
ER -
CSL-JSON
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