open access publication

Preprint, 2024

Vividness of Visual Imagery Supported by Intrinsic Structural-Functional Brain Network Dynamics

bioRxiv, Page 2024.03.02.582470, 10.1101/2024.03.02.582470

Contributors

Kvamme, Timo Lehmann 0000-0002-3479-4297 (Corresponding author) [1] [2] Lumaca, Massimo 0000-0002-3432-3911 [1] Zana, Blanka 0009-0008-6483-2742 [1] Paunovic, Dunja 0000-0003-1427-0186 [3] Silvanto, Juha Tapani 0000-0001-6044-5296 [2] Sandberg, Kristian 0000-0001-6936-5487 [1]

Affiliations

  1. [1] Aarhus University
  2. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] University of Surrey
  4. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  5. [3] University of Belgrade
  6. [NORA names: Serbia; Europe, Non-EU]

Abstract

Abstract Vividness of visual imagery is subject to individual variability, a phenomenon with largely unexplored neurobiological underpinnings. By analyzing data from 273 participants we explored the link between the structural-functional organization of brain connectomes and the reported intensity of visual imagery (measured with VVIQ-2). Employing graph theory analyses we investigated both the structural (DTI) and functional (rs-fMRI) connectomes within a network of regions often implicated in visual imagery. Our results indicate a relationship between increased local efficiency and clustering coefficients in the structural connectome in individuals who experience more vivid visual imagery. Increased local efficiency and clustering coefficients were mirrored in the functional connectome with increases in left inferior temporal regions, a region frequently identified as a critical hub in the visual imagery literature. Furthermore, individuals with more vivid imagery were found to have lower levels of global efficiency in their functional connectome. We propose that the clarity and intensity of visual imagery are optimized by a network organization characterized by heightened localized information transfer and interconnectedness. Conversely, an excessively globally integrated network might dilute the specific neural activity crucial for generating vivid visual images, leading to less locally concentrated resource allocation in key regions involved in visual imagery vividness.

Keywords

Abstract, DTI, activity, allocation, analysis, brain connectome, brain network dynamics, clarity, clustering coefficient, clusters, coefficient, connectome, data, dynamics, efficiency, functional connectome, global efficiency, graph, graph theory analysis, hub, imagery, imagery literature, imagery vividness, images, increase, increased local efficiency, individual variability, individuals, inferior temporal regions, information transfer, intensity, interconnectedness, intrinsically, left inferior temporal regions, levels, literature, local efficiency, local information transfer, network, network dynamics, network of regions, network organization, neural activity, neurobiological underpinnings, organization, participants, phenomenon, region, relationship, resource allocation, resources, results, structural connectome, structural-functional organization, temporal regions, theory analysis, transfer, underpinnings, variables, visual imagery, visual imagery vividness, visual images, vivid visual imagery, vivid visual images, vividness, vividness of visual imagery

Funders

  • European Cooperation in Science and Technology
  • Carlsberg Foundation

Data Provider: Digital Science