The morphospace of the brain-cognition organisation

Over the past three decades, functional neuroimaging has amassed abundant evidence of the intricate interplay between brain structure and function. However, the potential anatomical and experimental overlap, independence, granularity, and gaps between functions remain poorly understood. Here, we show the latent structure of the current brain-cognition knowledge and its organisation. Our approach utilises the most comprehensive meta-analytic fMRI database (Neurosynth) to compute a three-dimensional embedding space-morphospace capturing the relationship between brain functions as we currently understand them. The space structure enables us to statistically test the relationship between functions expressed as the degree to which the characteristics of each functional map can be anticipated based on its similarities with others-the predictability index. The morphospace can also predict the activation pattern of new, unseen functions and decode thoughts and inner states during movie watching. The framework defined by the morphospace will spur the investigation of novel functions and guide the exploration of the fabric of human cognition.

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Publication Details

Journal
Nature Communications
Published
2024-09-30
DOI
https://doi.org/10.1038/s41467-024-52186-9
Citations
3
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.03

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article

The morphospace of the brain-cognition organisation

Majd Abdallah, Stephanie J. Forkel, Michel Thiebaut de Schotten, Victor Nozais et al.
3 citations
Nature Communications
Functional Brain Connectivity Studies
1.03
article

The morphospace of the brain-cognition organisation

Majd Abdallah, Stephanie J. Forkel, Michel Thiebaut de Schotten, Victor Nozais, Valentina Pacella, Demián Wassermann, Lia Talozzi
article en
3 citations

Abstract

Over the past three decades, functional neuroimaging has amassed abundant evidence of the intricate interplay between brain structure and function. However, the potential anatomical and experimental overlap, independence, granularity, and gaps between functions remain poorly understood. Here, we show the latent structure of the current brain-cognition knowledge and its organisation. Our approach utilises the most comprehensive meta-analytic fMRI database (Neurosynth) to compute a three-dimensional embedding space-morphospace capturing the relationship between brain functions as we currently understand them. The space structure enables us to statistically test the relationship between functions expressed as the degree to which the characteristics of each functional map can be anticipated based on its similarities with others-the predictability index. The morphospace can also predict the activation pattern of new, unseen functions and decode thoughts and inner states during movie watching. The framework defined by the morphospace will spur the investigation of novel functions and guide the exploration of the fabric of human cognition.

Nature CommunicationsVol. 15(1)
Centre National de la Recherche Scientifique (FR), TE Connectivity (Switzerland) (CH), Radboud University Nijmegen (NL), Université de Bordeaux (FR), Wellcome Centre for Human Neuroimaging (GB), King's College London (GB), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Istituto Universitario di Studi Superiori di Pavia (IT), Institut des Maladies Neurodégénératives (FR), Max Planck Institute for Psycholinguistics (NL), TE Connectivity (France) (FR), Centre Inria de Saclay (FR), CEA Paris-Saclay (FR), Hôpital Saint-Michel (FR), Stanford University (US)
European Commission, Agence Nationale de la Recherche, Université de Bordeaux
Quality Education
Openalex Percentile: Top 24%
Functional Brain Connectivity Studies
1.03
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