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Updated: Sep 25, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

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Published on: October 13, 2023

Whole-Brain Modelling: Past, Present, and Future.

John D Griffiths^1,2, Sorenza P Bastiaens^3,4, Neda Kaboodvand⁵

¹Department of Psychiatry and Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada. john.griffiths@utoronto.ca.

Advances in Experimental Medicine and Biology

|April 26, 2022

Summary

Whole-brain modeling, a field with roots in the 1940s, emerged in its current form in the late 2000s alongside macro-connectomics. This review covers its history, successes, challenges, and future opportunities in neuroscience.

Keywords:

Connectome Mean-field Neural field Neural mass Neuroimaging

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Published on: July 21, 2021

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Whole-brain modelling (WBM) integrates diverse scientific roots dating back to the 1940s.
The field coalesced into its current paradigm in the late 2000s, closely linked with macro-connectomics.
Seminal papers from theoretical and cognitive neuroscientists have shaped the WBM landscape.

Purpose of the Study:

To provide a comprehensive overview of Whole-Brain Modelling.
To outline the historical trajectory, current status, and future prospects of WBM.
To identify key successes, challenges, and opportunities within the field.

Main Methods:

Historical review of Whole-Brain Modelling.
Analysis of seminal contributions and conceptual ingredients.
Exploration of methodological, theoretical, and clinical advancements.

Main Results:

WBM has a rich history with significant recent development.
The field has expanded into numerous new directions over the past decade.
Key successes, challenges, and opportunities have been identified.

Conclusions:

Whole-brain modelling is a rapidly evolving field with substantial potential.
Continued interdisciplinary collaboration is crucial for advancing WBM.
Future research directions promise exciting breakthroughs in understanding the brain.