Reconstructing Spatio-Temporal Trajectories of Visual Object Memories in the Human Brain

Abstract

How the human brain reconstructs, step-by-step, the core elements of past experiences is still unclear. Here, we map the spatiotemporal trajectories along which visual object memories are reconstructed during associative recall. Specifically, we inquire whether retrieval reinstates feature representations in a copy-like but reversed direction with respect to the initial perceptual experience, or alternatively, this reconstruction involves format transformations and regions beyond initial perception. Participants from two cohorts studied new associations between verbs and randomly paired object images, and subsequently recalled the objects when presented with the corresponding verb cue. We first analyze multivariate fMRI patterns to map where in the brain high- and low-level object features can be decoded during perception and retrieval, showing that retrieval is dominated by conceptual features, represented in comparatively late visual and parietal areas. A separately acquired EEG dataset is then used to track the temporal evolution of the reactivated patterns using similarity-based EEG-fMRI fusion. This fusion suggests that memory reconstruction proceeds from anterior frontotemporal to posterior occipital and parietal regions, in line with a conceptual-to-perceptual gradient but only partly following the same trajectories as during perception. Specifically, a linear regression statistically confirms that the sequential activation of ventral visual stream regions is reversed between image perception and retrieval. The fusion analysis also suggests an information relay to frontoparietal areas late during retrieval. Together, the results shed light onto the temporal dynamics of memory recall and the transformations that the information undergoes between the initial experience and its later reconstruction from memory.

Publication DOI: https://doi.org/10.1523/ENEURO.0091-24.2024
Divisions: College of Health & Life Sciences > School of Psychology
Aston University (General)
Funding Information: We thank Simrandeep Cheema, Dagmar Fraser, and Nina Salman for their help with data collection. We also thank Karen Mullinger for the useful analytical advice. This work was supported by a European Research Council (ERC) Starting Grant StG-2016-715714 awa
Additional Information: Copyright © 2024 Lifanov-Carr et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
Uncontrolled Keywords: EEG,fMRI,feature reconstruction,memory retrieval,multivariate fusion,General Neuroscience
Publication ISSN: 2373-2822
Last Modified: 23 Dec 2024 09:05
Date Deposited: 07 Oct 2024 08:00
Full Text Link:
Related URLs: https://www.ene ... RO.0091-24.2024 (Publisher URL)
PURE Output Type: Article
Published Date: 2024-09
Published Online Date: 2024-09-06
Accepted Date: 2024-08-09
Authors: Lifanov-Carr, Julia
Griffiths, Benjamin J.
Linde-Domingo, Juan
Ferreira, Catarina S.
Wilson, Martin
Mayhew, Stephen D. (ORCID Profile 0000-0003-1240-1488)
Charest, Ian
Wimber, Maria

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