Imaging genetics for mental disorders

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Project Title: Imaging genetics for mental disorders
Project Number: CORDIS-109465
Project web address: Follow on CORDIS
Organization: Zentralinstitut Für Seelische Gesundheit (Central Institute Of Mental Health), Germany, Mannheim
Collaborators: University Of Edinburgh, GB
Queensland Institute Of Medical Research, AU
King'S College London, GB
Stichting Katholieke Universiteit, NL
Icahn School Of Medicine At Mount Sinai, US
Universitetet I Oslo, NO
Rheinische Friedrich-Wilhelms-Universitat Bonn, DE
Life And Brain Gmbh, DE
Universita Degli Studi Di Bari Aldo Moro, IT
Brain Innovation Bv, NL
Islensk Erfdagreining Ehf, IS
Concentris Research Management Gmbh, DE
Principal Investigators (PI): Paul Labbett, GB
Angela Noble, GB
Daniela Hasenpusch, DE
Claudia Goebel, NL
Jonsson Frosti, IS
Andreas Papassotiropoulos, CH
Ameli Schwalber, DE
Hans Mossin, NO
Delfina Maria Misuraca, IT
Lee Casey, AU
Marten Van Langen, NL
Allison Gottlieb, US
Markus Noethen, DE
Andreas Meyer-Lindenberg, DE
 
Project Description:
Mental disorders are leading causes of disability, absence from work and premature retirement in Europe. While magnetic resonance imaging (MRI) facilities are broadly available and a vast research literature exists, few neuroimaging applications have reached clinical practice in psychiatry. A major problem is that mental illnesses are currently diagnosed as discrete entities defined clinically. Instead, recent results show that mental disorders are best understood as quantitative alterations in neural systems relevant across traditional diagnostic boundaries that reflect individual, genetic and environmental risk factors. In the IMAGEMEND consortium, we aim to discover these systems to identify the patient characteristics most relevant for treatment, derive biomarkers and decision rules from this systems-level dimensional account, and systematically validate biomarker panels in patient, high-risk and epidemiological samples to produce automated imaging-based diagnostic and predictive tests tailored for wide distribution throughout Europe in standard clinical settings. Focusing on schizophrenia, bipolar disorder and attention deficit-hyperactivity disorder, we have assembled Europe’s largest dataset combining neuroimaging, genetic, environmental, cognitive and clinical information on approximately 13000 participants, and have recruited international replication datasets of more than 30000 people. This unique resource will be processed using a new generation of multivariate statistical analysis to optimize existing imaging technology for the benefit of patients. We will also develop new imaging technology to enable the direct imaging-based therapeutic modification of neural circuits through rapid real-time MRI. Our deliverables will promote personalized treatment through more accurate patient stratification, allow diagnoses at the pre-symptomatic stage for early intervention and prevention, and improve prediction of treatment response and disease progression.
 
Project Terms:
life sciences
Project Title: Imaging genetics for mental disorders
Project Number: CORDIS-109465
Project web address: Follow on CORDIS
Organization: Zentralinstitut Für Seelische Gesundheit (Central Institute Of Mental Health), Germany, Mannheim
Collaborators: University Of Edinburgh, GB
Queensland Institute Of Medical Research, AU
King'S College London, GB
Stichting Katholieke Universiteit, NL
Icahn School Of Medicine At Mount Sinai, US
Universitetet I Oslo, NO
Rheinische Friedrich-Wilhelms-Universitat Bonn, DE
Life And Brain Gmbh, DE
Universita Degli Studi Di Bari Aldo Moro, IT
Brain Innovation Bv, NL
Islensk Erfdagreining Ehf, IS
Concentris Research Management Gmbh, DE
Principal Investigators (PI): Paul Labbett, GB
Angela Noble, GB
Daniela Hasenpusch, DE
Claudia Goebel, NL
Jonsson Frosti, IS
Andreas Papassotiropoulos, CH
Ameli Schwalber, DE
Hans Mossin, NO
Delfina Maria Misuraca, IT
Lee Casey, AU
Marten Van Langen, NL
Allison Gottlieb, US
Markus Noethen, DE
Andreas Meyer-Lindenberg, DE
 
Project Categories:
Natural Sciences > Experimental techniques, Aging Diseases and Pathology > in vivo methods, Neurodegenerative diseases > Combined methods, Non-demention CNS disorders: sleep disorders, depressions etc. > Magnetic Resonance Imaging (MRI)
 
Other Information:
Fiscal Year: 2013
Project Start Date: 1 October 2013
Project End Date: 30 September 2017
Project program: FP7-HEALTH
 
Project Funding Information:
Funding Mechanism: CP-FP - Small or medium-scale focused research project
Year Funding Organization Total Funding, $
2013 European Research Council $8,947,702