Whole-brain modelling cartography of the dynamics of mind Gustavo Deco and Morten L. Kringelbach

Format:

Book

Author/Creator:

Deco, Gustavo, author.

Kringelbach, Morten L., author.

Language:

English

Subjects (All):

Brain--Models.

Brain.

Computational neuroscience.

Physical Description:

1 online resource

Edition:

1st ed.

Place of Publication:

Oxford Oxford University Press [2025]

Summary:

Whole-brain modelling provides a comprehensive overview of sophisticated whole-brain models able to capture the underlying mechanisms of brain dynamics, which are fundamental to gain a full understanding of the cartography of the dynamics of mind. The book is written for an audience of students and scholars coming from fields such as neuroscience, psychology, biology, physics, mathematics, engineering and medical science. Importantly, the book is written such that the necessary advanced maths and physics are easily accessible. Deco and Kringelbach provide all the key elements for understanding how these powerful computer models can accurately reproduce human brain activity in silico as measured through a combination of many different neuroimaging techniques

Contents:

Cover

Title page

Copyright page

Dedication page

Preface

Contents

Introduction

Rationale

The new science of whole-brain modelling

Outline of the book

Whole-brain dynamics

Multimodal measurements of whole-brain data

Brain activity and structure measured with MRI

Brain activity measured with EEG and MEG

Neurotransmitters measured with PET

Anatomical connectivity measured with dMRI

Pipelines for pre-processing and cleaning data

Pre-processing functional data from fMRI and MEG

Anatomical connectivity from dMRI

Pipelines for extracting information and reducing complexity

Parcellations

Resting state

Grand average FC, GBC and FCD matrices

Metastability

Brain dynamics using PMS framework with LEiDA

Intrinsic ignition

Edge-centric connectivity

Harmonics

NDTE framework: Causal interactions between brain regions

Perspective

Principles

Background

Principles of brain states revealed by whole-brain modelling

Specific whole-brain models

Dynamic Mean Field whole-brain model

Hopf model

Linearised Hopf model

Models using generative effective connectivity (GEC)

Conclusion and perspectives

Brain states and hierarchy

Towards the characterisation of brain states

Towards a quantification of brain hierarchy

Discovering the orchestration of hierarchical organisation

Characterising the functional hierarchical brain organisation

Defining the Functional Rich Club (FRIC)

Using NDTE to identify the functional hierarchical organisation

Quantifying the Functional Rich Club in tasks and resting state

Quantifying the GNW

Establishing mechanistic significance of FRIC by lesioning model

The orchestration by the regions in GNW

Beyond the GNW: Role of the prefrontal cortex

Neuromodulation

Background.

Whole-brain modelling with neuromodulation

Explaining the influence of neuromodulation

Fitting the whole-brain neuromodulation model to LSD data

Dynamic coupling neuronal and neurotransmitter systems

Brain heterogeneity

Introducing regional heterogeneity in whole-brain models

Fitting the Homogeneous Model

Implementation of regional heterogeneity

Mapping effects of heterogeneity on brain dynamics

Ignition capacity

Implications of heterogeneity for brain dynamics

Transitions and awakenings

Awakening the brain

Brain transitioning in sleep

Optimal spatiotemporal fit of whole-brain model to PMS space

Optimising the whole-brain model by using effective connectivity

Awakening: Forcing a brain state-transition

Towards other awakenings

The thermodynamics of hierarchy

Model-based: Identifying the generative hierarchical mechanisms

Future avenues for research

Thermodynamics of mind

Turbulence in the brain

A brief history of turbulence

Turbulent power laws in fluid and brain dynamics

Turbulence generated by coupled oscillators

Model-free turbulence in empirical fMRI data

Turbulence fingerprint of different brain states

Discovering the role of exceptional long-range connections

Turbulence in fast brain dynamics

Whole-brain modelling of awakening in depression

Different hierarchical reconfigurations for depression

Modelling pipeline of interventions

Quantifying hierarchy in brain states

Thermodynamic framework for generative effective connectivity

Hierarchical analysis using trophic levels.

Support vector machine for pattern separation and classification

Different hierarchical reconfigurations for different medications

Significant hierarchies in responders and non-responders

Treatment response can be differentiated and predicted hierarchy

Implications for neuropsychiatric disorders

Neuropsychiatry

Hierarchical analysis using trophic levels

Support vector machine for pattern separation and classification

Future perspectives

Slow and fast time in brain dynamics

Manifold reduction: Lower dimensionality of relevant dynamics

Computation in whole-brain models

What makes us human

Appendix

Functional datasets

HCP neuroimaging data

Sleep neuroimaging data

Monash resting state

Structural datasets

HCP SC

Oxford SC

Monash SC

AAL

Brainnetome

Desikan

Mindboggle

DK80

Glasser

Schaefer

Yeo

Index.

Notes:

Includes index

Online resource and publisher information; title from PDF title page (viewed on January 22, 2026)

Other Format:

Print version:

ISBN:

9780198991267

0198991266

OCLC:

1569788096

Publisher Number:

CIPO000342071

Access Restriction:

Restricted for use by site license