Subcortical Neural Synchronization predicts biological Mother-Child relationship
Poster No:
1889
Submission Type:
Abstract Submission
Authors:
Jihyun Bae1, Yong Jeon Cheong1, Seonkyoung Lee1, Jihyeong Ro2, Minyoung Jung1
Institutions:
1Korea Brain Research Institute, Daegu, Korea, Republic of, 2Kyungpook National University, Daegu, Korea, Republic of
First Author:
Co-Author(s):
Introduction:
Interpersonal neural synchronization (INS) has been considered as an indicator of relationship closeness and cooperative interactions. [1-2] Considering that mother-child is the closest social relation, it raises a series of questions: does a mother exhibit greater INS with her own child compared to other child? If so, are there any key brain regions or neural networks characterizing biological relationships? Exploring INS across brain regions and large-scale functional networks, this study aims to address these questions.
Methods:
This study included 122 biological mother-child pairs (mean age [SD] = 40.87 [2.91] years for mothers; 68 boys, mean age [SD] = 9.3 [1.63] years for children). Resting-state functional magnetic resonance imaging (rs-fMRI) and T1-weighted imaging were performed using a 3T scanner. Neuroimaging data were preprocessed using the CONN toolbox. We assessed INS of 90 parcellated regions of interest (ROIs) based on phase values [3] using the Funpsy toolbox implemented in MATLAB. [4-5] We computed phase locking values (PLVs) of the corresponding ROIs across biological and non-biological mothers and children within the Automated Anatomical Labeling (AAL) atlas, excluding the cerebellum. A linear mixed effects model (LMEM) was applied to predict biological pairs from pairwise PLVs, controlling for age and gender. [6] We are currently investigating how INS of large-scale brain networks predict biological relationships. We explored eight networks, seven canonical functional networks defined by Yeo et al. [7] and an additional one comprising 10 ROIs that we identified in regions-wise analysis.
·Overview of processing
Results:
Significant INSs to predict biological relationships were found in the bilateral olfactory gyrus (p=1.9E-06 (β=-0.0069) for left;, p=1.5E-04 (β=-0.0059) right hemispheres , bilateral thalamus (p=8.4E-05 (β=-0.006) for left;, p=1.67E-3 (β=-0.0053) for right), bilateral putamen (p=1.5E-04 (β=-0.006) for left ; p=3.3E-04 (β=-0.006) for right), left amygdala (p=0.0007, β=-0.0055), right heschl gyrus (p=0.0068, β=-0.0049), and left parahippocampal gyrus (p=0.0082, β=-0.0048).
Conclusions:
Biological mother and child relationship is characterized by significantly higher neural synchronization, compared to non-biological pairs. It is interesting that the bilateral olfactory gyrus is the key brain regions for prediction of biological kinship. This is in line with the reporting significant role of the olfactory gyrus in maternal bonding via the processing of olfactory information and emotional cues. [8-9] Regarding our findings of significance of INS of limbic system including the basal ganglia in biological relationship, the systems are known for its role in emotional attunement. [10] Compared to previous INS studies using goal directed tasks (i.e., joint action, video watching, etc.), our study used rs-fMRI. It implies not only that biological kinship may differ from other social relationships but also that tasks may not be mandatory for prediction of close relationships.
Emotion, Motivation and Social Neuroscience:
Social Neuroscience Other
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling 2
Multivariate Approaches
Novel Imaging Acquisition Methods:
BOLD fMRI 1
Physiology, Metabolism and Neurotransmission:
Neurophysiology of Imaging Signals
Keywords:
Computational Neuroscience
Congenital
Data analysis
FUNCTIONAL MRI
Limbic Systems
MRI
NORMAL HUMAN
Statistical Methods
Other - Linear mixed effects model (LMEM), phase locking value (PLV)
1|2Indicates the priority used for review
Abstract Information
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Was this research conducted in the United States?
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.
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3. Zhao, Q., Gao, Y., Zhang, Z., Liu, J., & He, C. (2024). Interpersonal neural synchronization during social interactions in close relationships: A systematic review and meta-analysis of fNIRS hyperscanning studies. Neuroscience & Biobehavioral Reviews, 158, 105659. https://doi.org/10.1016/j.neubiorev.2024.105659
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