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REVIEW article

Front. Cell. Neurosci.
Sec. Cellular Neurophysiology
Volume 19 - 2025 | doi: 10.3389/fncel.2025.1537462
This article is part of the Research Topic Multiscale Brain Modelling View all articles

Multiscale Brain Modelling: Bridging Microscopic and Macroscopic Brain Dynamics for Clinical and Technological Applications

Provisionally accepted
  • 1 University of Hradec Králové, Hradec Králové, Hradec Králové, Czechia
  • 2 Monash University Malaysia, Subang Jaya, Malaysia

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

    The brain's complex organization spans from molecular-level processes within neurons to large-scale networks, making it essential to understand this multiscale structure to uncover brain functions and address neurological disorders. Multiscale brain modeling has emerged as a transformative approach, integrating computational models, advanced imaging, and big data to bridge these levels of organization. This review explores the challenges and opportunities in linking microscopic phenomena to macroscopic brain functions, emphasizing the methodologies driving progress in the field. It also highlights the clinical potential of multiscale models, including their role in advancing artificial intelligence (AI) applications and improving healthcare technologies. By examining current research and proposing future directions for interdisciplinary collaboration, this work demonstrates how multiscale brain modeling can revolutionize both scientific understanding and clinical practice.

    Keywords: multiscale brain modeling, computational neuroscience, big data, AI, Neuroimaging, clinical applications, brain function, multi-disciplinary research 1. Introduction

    Received: 30 Nov 2024; Accepted: 04 Feb 2025.

    Copyright: © 2025 Krejcar and Namazi. 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: Hamidreza Namazi, Monash University Malaysia, Subang Jaya, Malaysia

    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.