How are our gut and brain connected, and how does this relationship influence the way we think, feel and behave? Within the HEREDITARY project, this question is at the heart of ongoing research in Work Package 2, where partners are exploring the complex interplay between microbiota, brain activity, and human behaviour.
The Deliverable 2.4: Linkage and feature extraction from gut-brain, intermediate evaluation, led by Radboud University Medical Center, marks an important step forward in this journey. Building on earlier work, it provides new evidence that combining multimodal data with advanced AI can reveal meaningful patterns linking the gut and the brain, bringing us closer to understanding this intricate biological system.
From data to discovery: integrating the gut and the brain
At the core of this research lies a simple but ambitious idea: to move beyond isolated measurements, and, instead, analyse the gut and brain as a connected system.
To achieve this, HEREDITARY researchers worked with data from the Healthy Brain Study (HBS), a large cohort of deeply characterised individuals. By combining brain imaging (resting-state fMRI), gut microbiota profiles, and behavioural and physiological data, the team applied a supervised multimodal data integration method (an advanced AI method) known as SuperBigFLICA, an extension of Linked Independent Component Analysis (LICA), designed to work with large-scale, heterogeneous datasets. This approach allows researchers to identify latent components (shared patterns across different types of data), which, in this context, correspond to hidden structures in the data that capture how microbiome composition, brain connectivity, and individual behavioural are interrelated.
One of the most relevant outcomes of this work is the identification of robust gut-brain components (multivariate patterns that simultaneously involve microbiome features and brain activity). In particular, one component revealed a strong interaction between gut microbial composition, brain networks linked to reward and emotion (such as limbic and default mode networks), and health and behavioural measures such as anxiety sensitivity, life stress, and Body Mass Index (BMI).
In an independant validation, this component was also able to predict food-related behaviour from an independent task. This task reflects how individuals value unhealthy vs. healthy food, and their likelihood of choosing unhealthy options. These findings validate the feasibility of supervised multimodal integration and identify promising biological targets for follow-up analyses. It shows that gut–brain interactions are not only measurable, but also meaningfully linked to real-life behaviour.
Advancing Use Cases 4 and 5
These findings directly contribute to HEREDITARY’s Use Case 4 and lay the groundwork for Use Case 5.
- Use Case 4 focuses on understanding gut–brain interactions in healthy populations. The intermediate results confirm that it is possible to identify stable and biologically meaningful gut–brain patterns at population scale.
- Use Case 5 will extend this approach to clinical data, exploring whether similar patterns can explain variations in mental health conditions and maladaptive behaviours, with broader applications in the prediction of other gut (.eg. Ulcerative Colitis) and brain related conditions (e.g. depressive episodes).
What comes next?
The work does not stop here. The HEREDITARY project will evaluate the robustness of the discovered components, apply them to broader clinical data, and extend analyses to metabolic markers and future hypotheses-driven studies on stress, diet, and hedonic eating. It will directly address disease relevance by examining whether the same multivariate gut–brain components explain variation in psychopathology and maladaptive eating in psychiatric populations.
The next phase of the research will deepen the analysis of how gut–brain interactions relate to behaviour. These analyses will continue to leverage multimodal datasets (including brain imaging, microbiome data, stress responses and behavioural tasks) to further explore how stress, anxiety and dietary factors influence food choices through gut–brain mechanisms, and how the interaction between the gut microbiome and reward-related brain connectivity contributes to stress-related eating patterns in daily life. In parallel, future work will focus on defining what constitutes a “healthy” gut–brain profile and ensuring robust clinical interpretation of results.
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