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Charting the velocity of brain growth and development

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Bayer, Johanna M. M., de Boer, Augustijn A. A., Rehak-Bucova, Barbora, Fraza, Charlotte J., Banaschewski, Tobias, Barker, Gareth J., Bokde, Arun L. W., Bruehl, Ruediger, Desrivieres, Sylvane, Flor, Herta, Garavan, Hugh, Gowland, Penny, Grigis, Antoine, Heinz, Andreas, Lemaitre, Herve, Martinot, Jean-Luc, Martinot, Marie-Laure Paillere, Artigues, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomas, Poustka, Luise, Smolka, Michael N., Holz, Nathalie, Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Wirsching, Paul, Schumann, Gunter, Initiative, Alzheimers Disease Neuroimaging, Kraguljac, Nina, Beckmann, Christian F., Marquand, Andre F.
Format:	Preprint
Publié:	2026
Sujets:	Neurons and Cognition Quantitative Methods
Accès en ligne:	Acceder al recurso
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author	Bayer, Johanna M. M. de Boer, Augustijn A. A. Rehak-Bucova, Barbora Fraza, Charlotte J. Banaschewski, Tobias Barker, Gareth J. Bokde, Arun L. W. Bruehl, Ruediger Desrivieres, Sylvane Flor, Herta Garavan, Hugh Gowland, Penny Grigis, Antoine Heinz, Andreas Lemaitre, Herve Martinot, Jean-Luc Martinot, Marie-Laure Paillere Artigues, Eric Nees, Frauke Orfanos, Dimitri Papadopoulos Paus, Tomas Poustka, Luise Smolka, Michael N. Holz, Nathalie Vaidya, Nilakshi Walter, Henrik Whelan, Robert Wirsching, Paul Schumann, Gunter Initiative, Alzheimers Disease Neuroimaging Kraguljac, Nina Beckmann, Christian F. Marquand, Andre F.
author_facet	Bayer, Johanna M. M. de Boer, Augustijn A. A. Rehak-Bucova, Barbora Fraza, Charlotte J. Banaschewski, Tobias Barker, Gareth J. Bokde, Arun L. W. Bruehl, Ruediger Desrivieres, Sylvane Flor, Herta Garavan, Hugh Gowland, Penny Grigis, Antoine Heinz, Andreas Lemaitre, Herve Martinot, Jean-Luc Martinot, Marie-Laure Paillere Artigues, Eric Nees, Frauke Orfanos, Dimitri Papadopoulos Paus, Tomas Poustka, Luise Smolka, Michael N. Holz, Nathalie Vaidya, Nilakshi Walter, Henrik Whelan, Robert Wirsching, Paul Schumann, Gunter Initiative, Alzheimers Disease Neuroimaging Kraguljac, Nina Beckmann, Christian F. Marquand, Andre F.
contents	Brain charts have emerged as a highly useful approach for understanding brain development and aging on the basis of brain imaging and have shown substantial utility in describing typical and atypical brain development with respect to a given reference model. However, all existing models are fundamentally cross-sectional and cannot capture change over time at the individual level. We address this using velocity centiles, which directly map change over time and can be overlaid onto cross-sectionally derived population centiles. We demonstrate this by modelling rates of change for 24062 scans from 10795 healthy individuals with up to 8 longitudinal measurements across the lifespan. We provide a method to detect individual deviations from a stable trajectory, generalising the notion of thrive lines, which are used in pediatric medicine to declare failure to thrive. Using this approach, we predict transition from mild cognitive impairment to dementia more accurately than by using either time point alone, replicated across two datasets. Last, by taking into account multiple time points, we improve the sensitivity of velocity models for predicting the future trajectory of brain change. This highlights the value of predicting change over time and makes a fundamental step towards precision medicine.
format	Preprint
id	arxiv_https___arxiv_org_abs_2601_07591
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	Charting the velocity of brain growth and development Bayer, Johanna M. M. de Boer, Augustijn A. A. Rehak-Bucova, Barbora Fraza, Charlotte J. Banaschewski, Tobias Barker, Gareth J. Bokde, Arun L. W. Bruehl, Ruediger Desrivieres, Sylvane Flor, Herta Garavan, Hugh Gowland, Penny Grigis, Antoine Heinz, Andreas Lemaitre, Herve Martinot, Jean-Luc Martinot, Marie-Laure Paillere Artigues, Eric Nees, Frauke Orfanos, Dimitri Papadopoulos Paus, Tomas Poustka, Luise Smolka, Michael N. Holz, Nathalie Vaidya, Nilakshi Walter, Henrik Whelan, Robert Wirsching, Paul Schumann, Gunter Initiative, Alzheimers Disease Neuroimaging Kraguljac, Nina Beckmann, Christian F. Marquand, Andre F. Neurons and Cognition Quantitative Methods Brain charts have emerged as a highly useful approach for understanding brain development and aging on the basis of brain imaging and have shown substantial utility in describing typical and atypical brain development with respect to a given reference model. However, all existing models are fundamentally cross-sectional and cannot capture change over time at the individual level. We address this using velocity centiles, which directly map change over time and can be overlaid onto cross-sectionally derived population centiles. We demonstrate this by modelling rates of change for 24062 scans from 10795 healthy individuals with up to 8 longitudinal measurements across the lifespan. We provide a method to detect individual deviations from a stable trajectory, generalising the notion of thrive lines, which are used in pediatric medicine to declare failure to thrive. Using this approach, we predict transition from mild cognitive impairment to dementia more accurately than by using either time point alone, replicated across two datasets. Last, by taking into account multiple time points, we improve the sensitivity of velocity models for predicting the future trajectory of brain change. This highlights the value of predicting change over time and makes a fundamental step towards precision medicine.
title	Charting the velocity of brain growth and development
topic	Neurons and Cognition Quantitative Methods
url	https://arxiv.org/abs/2601.07591