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ORIGINAL RESEARCH article

Front. Cognit.
Sec. Neural Networks and Cognition
Volume 3 - 2024 | doi: 10.3389/fcogn.2024.1433234
This article is part of the Research Topic The Effects of Naturalistic Stimuli on Neural Network Activity View all articles

Multiscale Functional Connectivity analysis of episodic memory reconstruction

Provisionally accepted
Manuel Morante Manuel Morante 1*Kristian Frølich Kristian Frølich 1*Muhammad Shahzaib Muhammad Shahzaib 2Sadia Shakil Sadia Shakil 3Naveed Ur Rehman Naveed Ur Rehman 1
  • 1 Aarhus University, Aarhus, Denmark
  • 2 Institute of Space Technology, Islamabad, Islamabad, Pakistan
  • 3 The Chinese University of Hong Kong, Shenzhen, Shenzhen, China

The final, formatted version of the article will be published soon.

    Our ability to share memories constitutes a social foundation of our world. When exposed to another person's memory, individuals can mentally reconstruct the events described, even if they were not present during the related events. However, the extent to which the neuronal connectivity patterns elicited by the mental reconstruction of an event mirror those present in the brains of individuals who experienced the original event remains unclear. Through two independent fMRI experiments, we explore the Functional Connectivity (FC) patterns at different timescales associated with these cognitive processes using the innovative Multiscale Functional Connectivity (MFC) technique. This study aims to shed light on how our brains construct mental representations of scenes in a movie compared to the verbal transmission of the same scenes. Our results demonstrated that the Default Mode Network (DMN) plays a crucial role in these experiments and exhibits unique FC patterns across different timescales, yet remarkably consistent among participants. In addition, we found significant connectivity patterns within the temporal cortex, including significant contributions of the temporal pole and the fusiform gyrus, which exhibited a pivotal role in cooperation with the DMN in both experiments.

    Keywords: multivariate variational mode decomposition (MVMD), fMRI, default mode network (DMN), temporal pole, episodic memory (EM)

    Received: 15 May 2024; Accepted: 05 Jul 2024.

    Copyright: © 2024 Morante, Frølich, Shahzaib, Shakil and Ur Rehman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Manuel Morante, Aarhus University, Aarhus, Denmark
    Kristian Frølich, Aarhus University, Aarhus, Denmark

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.