Amber Maimon, PhD

Neuroscience & Human-Computer Interaction (HCI) researcher | Co-head NeuroHCI Research Group



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Amber Maimon, PhD

Research Associate, Co-Head NeuroHCI Research Group, Academic Lab Manager



Computational Psychiatry and Neurotechnology Lab | Human Computer Interaction Lab

Ben Gurion University | University of Haifa




Amber Maimon, PhD

Neuroscience & Human-Computer Interaction (HCI) researcher | Co-head NeuroHCI Research Group



Computational Psychiatry and Neurotechnology Lab | Human Computer Interaction Lab

Ben Gurion University | University of Haifa



Integrating mind and body: Investigating differential activation of nodes of the default mode network


Journal article


Inbal Linchevski, Amber Maimon, Y. Golland, Noa Zeharia, Amir Amedi, N. Levit-Binnun
Restorative Neurology and Neuroscience, 2023

Semantic Scholar DOI PubMedCentral PubMed
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APA   Click to copy
Linchevski, I., Maimon, A., Golland, Y., Zeharia, N., Amedi, A., & Levit-Binnun, N. (2023). Integrating mind and body: Investigating differential activation of nodes of the default mode network. Restorative Neurology and Neuroscience.


Chicago/Turabian   Click to copy
Linchevski, Inbal, Amber Maimon, Y. Golland, Noa Zeharia, Amir Amedi, and N. Levit-Binnun. “Integrating Mind and Body: Investigating Differential Activation of Nodes of the Default Mode Network.” Restorative Neurology and Neuroscience (2023).


MLA   Click to copy
Linchevski, Inbal, et al. “Integrating Mind and Body: Investigating Differential Activation of Nodes of the Default Mode Network.” Restorative Neurology and Neuroscience, 2023.


BibTeX   Click to copy

@article{inbal2023a,
  title = {Integrating mind and body: Investigating differential activation of nodes of the default mode network},
  year = {2023},
  journal = {Restorative Neurology and Neuroscience},
  author = {Linchevski, Inbal and Maimon, Amber and Golland, Y. and Zeharia, Noa and Amedi, Amir and Levit-Binnun, N.}
}

Abstract

Background: The default mode network (DMN) is a large-scale brain network tightly correlated with self and self-referential processing, activated by intrinsic tasks and deactivated by externally-directed tasks. Objective: In this study, we aim to investigate the novel approach of default mode activation during progressive muscle relaxation and examine whether differential activation patterns result from the movement of different body parts. Methods: We employed neuroimaging to investigate DMN activity during simple body movements, while performing progressive muscle relaxation. We focused on differentiating the neural response between facial movements and movements of other body parts. Results: Our results show that the movement of different body parts led to deactivation in several DMN nodes, namely the temporal poles, hippocampus, medial prefrontal cortex (mPFC), and posterior cingulate cortex. However, facial movement induced an inverted and selective positive BOLD pattern in some of these areas precisely. Moreover, areas in the temporal poles selective for face movement showed functional connectivity not only with the hippocampus and mPFC but also with the nucleus accumbens. Conclusions: Our findings suggest that both conceptual and embodied self-related processes, including body movements during progressive muscle relaxation, may be mapped onto shared brain networks. This could enhance our understanding of how practices like PMR influence DMN activity and potentially offer insights to inform therapeutic strategies that rely on mindful body movements.



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