environMENTAL

Reducing the impact of major environmental challenges on mental health

environMENTAL is an EU-funded project, studying the impact of climate, pollution, urbanicity, regional socioeconomic conditions, as well as the Covid19 pandemic on brain health, and characterize its underlying biological mechanisms. We will analyse data from more than one million European citizens and patients to uncover brain mechanisms linked to environmental adversity and leading to
symptoms of depression, anxiety, stress and substance abuse.

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Digital prevention and early intervention are important targets in non-pharmacological treatment. environMENTAL will pursue two parallel approaches, developing a mental health app and virtual reality interventions to reduce the impact of significant environmental challenges on human well-being.

StreetMind
Environment and the brain

StreetMind

Contribute to a better understanding of how the environment influences mental health

Consensus Conference

Your opportunity to shape the course of research

Seminars

The environMENTAL seminar series was established to inform our stakeholders about the environMENTAL project targets and to create a platform of active discussion and knowledge exchange.  

Challenges and opportunities for drug discovery in mental disorders

There is an undisputed need for better therapies addressing mental illnesses. However, despite major advances in the understanding of the molecular basis of disorders such as depression, anxiety schizo­phrenia and autism in the past decades, efforts to discover and develop new drugs for neuropsychiatric disorders have remained relatively unsuccessful. The disappointments can be traced to failures in the target identification and target validation effort, as reflected by the poor ability of current cellular and animal models to predict efficacy and side-effects. Here will I discuss how patient-based disease mod­elling can be implemented in the early drug discovery process as a crucial component in addressing current problems.

Implementation of a patient-derived disease model of Phelan McDermid Syndrome for the identification of SHANK3-specific chemical modifiers

Autism Spectrum Disorders (ASD) are a heterogeneous group of neurodevelopmental disorders which complicates the identification of an effective therapeutic solution. More than 75 % of people suffering from Phelan McDermid Syndrome (PMS) exhibits ASD symptoms. This rare disease is due to a dele­tion/alteration in chromosome chromosome 22 (22q13) leading to a haploinsufficiency of SHANK3 expression. SHANK3 encodes a scaffolding protein in the postsynaptic density of excitatory synapses. A reduced expression of SHANK3 leads to an alteration in neuron morphology and synapse connectivity via unknown mechanism.
After the identification of a developmental hyperdifferentiation phenotype in patient-derived iPS cells during the first 6-14 days of differentiation into glutamatergic neurons, a fully automated process was developed allowing us to perform a >7000 molecules screening to reverse hyperdifferentiation. Valida­tion of identified hit compounds was performed in a synaptic imaging assay after 28 days of differentia­tion. In summary, we performed phenotypic screening using specific pathological hallmarks of a neuro­developmental disease in patient-derived of cells.

EBRAINS user engagement

Our twin goals:

  • the scientific work of the Human Brain Project(HBP)
  • the ongoing development of the state-of-the art Research Infrastructure for brain studie: France Nivelle, Chief Communications and Content Officer, EBRAINS

environMENTAL Methodological approaches for MRI data integration biomarker discovery and validation within the environmental project

In this talk, I will give an overview of the analytical strategy we will employ for biomarker discovery in the environMENTAL project. To find generalisable biomarkers to predict and stratify mental disorders, we will need to solve many methodological challenges including how to meaningfully aligning data from heterogeneous cohorts spanning the whole lifespan, fusing data from modalities with very different characteristics, accounting for complex patterns of missing data and extracting generalisable and interpretable low dimensional representations from complex datasets.
Moreover, many of these analyses need to be performed in a decentralised and distributed manner. I will give an overview of some of the analytical techniques that we will employ to solve these challenges, including federated machine learning techniques, normative modelling, deep learning, transfer learning and classical penalised multivariate regression techniques. I will illustrate by discussing in detail how such techniques can be applied to neuroimaging data but it should be remembered that they are all more widely applicable.

environMENTAL Making the MOSTest of genetics multivariate approaches to variant discovery and disorder prediction

Brain and behavioural measures related to mental illness have complex genetic architectures, involving many common polymorphisms with small individual effects, challenging psychiatric genetic research. Given the distributed nature of genetic signal across brain regions, and high levels of pleiotropy across mental disorders, joint analysis of sets of neuroimaging or mental health measures in a multivariate statistical framework provides a way to substantially enhance discovery of genetic markers with cur­rent sample sizes.
In this presentation, I will introduce the Multivariate Omnibus Statistical Test (MOSTest), with an efficient computational design enabling rapid and reliable permutation-based inference. I will provide an overview of findings from a series of studies applying MOSTest to data from tens of thousands of individuals from large population cohorts, enabling the discovery of thousands of genetic markers associated with a range of traits. I will further illustrate how the enhanced statistical power achieved through joint analysis of brain and behavioural measures can be leveraged to improve genetics-based prediction of mental disorders in clinical cohorts. As such, these multivariate approaches can signifi­cantly contribute to achieving the goals of environMENTAL.

The environMENTAL Team

an interdisciplinary team of excellence

Driving a highly innovative and interdisciplinary approach, the project teams the ideas and expertise of neuroscientists, psychiatrists, geo-scientists, climatologists, psychologists, epidemiologists, anthropologists, computer scientists, experts in digital interventions as well as non-academic stakeholders such as patient associations.
The consortium will be supported by a Stakeholder Board, which will advise on ethical and societal questions to ensure a responsible research and innovation programme.

The environMENTAL Team

environMENTAL latest news

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News

PRESS RELEASE – Springer Nature Group and EU-funded environMENTAL project launch and inform about the new “Earth, Brain, Health Commission”

We are delighted to share our latest press release, announcing the launch of the new "Earth, Brain, Health Commission" by the Springer Nature Group (Nature Mental Health) in collaboration with the EU-funded environMENTAL project.We believe this commission will...

Join us for the Summer School on environment, brain and mental health

Are you a student or early career researcher interested in gaining a greater understanding on how environmental challenges affect mental health? Then join us for the Summer School on environment, brain and mental health, jointly organised by the Nature ‘Earth Brain...
Reports

Outcomes of the environMENTAL Consensus Conference

The environMENTAL project is thrilled to share the key outcomes from the recently concluded environMENTAL Consensus Conference (CC). This milestone event has provided invaluable insights and guidance that will shape our ongoing and future research on the intricate...
Reports

Replace, Reduce, Refine!

The European Medicines Agency (EMA) supports the implementation of the 3Rs principle  - replace, reduce and refine - for the ethical use of animals in medicine testing across the European Union (EU) (Ethical use of animals in medicine testing | European Medicines...

Climate Change 2022: Impacts, Adaptation, and Vulnerability

Climate change, although increasingly evident, often feels abstract and distant to Western populations. Yet, rising temperatures, extreme weather, and sea level rises are already causing significant damage and loss of life globally. The World Economic Forum recognizes...

WP3 Update on StreetMind Blog

We are happy to announce that the StreetMind Blog and our review article was accepted in Current Opinion in Psychiatry and is published now. Click here to find out more about the loop between environment, brain and mental health.

Join us for the Artificial Intelligence in Mental Health Summit, 1st – 2nd July in Berlin

Join us for a two-day free event examining the role played by artificial intelligence and digital tools in understanding and supporting mental health. Hosted by the environMENTAL Consortium, German Centre for Mental Health (DZPG), EBRAINS and Fudan University this...
Reports

Press Release: Invitation to the Artificial Intelligence (AI) in Mental Health Summit, 1st and 2nd July 2024

The environMENTAL project, a pioneering initiative led by esteemed scientists from Charité Berlin and founded by the European Union, is hosting a two-day event on 1st and 2nd July 2024, exploring how artificial intelligence and digital tools can support mental health....
Reports

WP5 Newsletter: Investigating the Impact of Environmental Factors on Mental Health Using Omics

Unveiling the Link Between DNA Methylation and Mental Health Xinyang, a third-year PhD student at King’s College London, is exploring how DNA methylation impacts cortical structures. Her research delves into identifying specific DNA methylation markers that correlate...

First amendment accepted by the EU! The environMENTAL consortium welcomes new partners!

The University of Nottingham (UoN), concentris, NAKO e.V. and Norwegian Institute of Public Health (NIPH) will support the environMENTAL consortium with achieving their goals.Prof. Bernd Stahl and Dr. George Ogoh moved from De Montfort University (DMU) to The...