Objective
The current nosology of neuropsychiatric disorders allows for a pragmatic approach to treatment choice, regulation and clinical research. However, without a biological rationale for these disorders, drug development has dramatically stagnated in the past decades. In a coordinated effort encompassing academic experts, SMEs, patient and family organizations, regulators, ECNP and EFPIA partners, this project aims to develop a quantitative biological approach to the understanding and classification of neuropsychiatric diseases to accelerate the discovery and development of better treatments for patients. This project will concentrate on Schizophrenia (SZ), Alzheimer’s disease (AD), and Major Depression (MD), as these disorders share part of their symptomatology, in particular social withdrawal and certain cognitive deficits, such as deficits in attention, working memory and sensory processing. By applying innovative technologies (e.g. EEG, cognitive tasks, (f)MRI,
smartphone monitoring, and (epi-)genetics) to deep phenotype a clinical cohort of SZ and AD patients combined with a wider analysis of existing clinical data sets from major European and global disease cohorts that also include MD, we will define a set of quantifiable biological parameters best able to cluster and differentiate SZ, AD, and MD patients that do, or do not, exhibit social withdrawal. First, by mining large European SZ, AD and MD cohort datasets with already available social and cognitive proxy measures, and, second, by obtaining objective measures of social exploration levels (using a novel smartphone application), phenotypic relationships with social and cognitive measures will be further tested. For instance we might predict that socially withdrawn individuals may have lower cognitive functioning and poorer clinical course compared to those who are more socially engaged.
Fields of science
- medical and health sciencesbasic medicinepharmacology and pharmacydrug discovery
- medical and health sciencesbasic medicineneurologydementiaalzheimer
- medical and health sciencesclinical medicineendocrinologydiabetes
- engineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imaging
- medical and health sciencesclinical medicinepsychiatryschizophrenia
Programme(s)
Funding Scheme
IMI2-RIA - Research and Innovation actionCoordinator
9712CP Groningen
Netherlands
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Participants (23)
OX10 8BA Wallingford
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
OX10 8BA Wallingford
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6525 XZ Nijmegen
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28029 Madrid
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40126 Bologna
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1081 HV Amsterdam
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35042 Rennes
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6525 EC Nijmegen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
EX4 4QJ Exeter
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OX9 3WT Thame
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
82256 FURSTENFELDBRUCK
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2333 ZA Leiden
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3015 GD Rotterdam
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3584 BK Utrecht
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3000 Leuven
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55218 Ingelheim
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4056 Basel
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Participation ended
CT13 9NJ Sandwich
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4070 Basel
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WC2B 4AE London
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RG21 4FA Basingstoke
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2340 Beerse
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3584 CX Utrecht
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