A quantitative approach to neuropsychiatry : The why and the how
Kas, Martien J; Penninx, Brenda Wjh; Sommer, Bernd; Serretti, Alessandro; Arango, Celso; Marston, Hugh
(2019) Neuroscience & Biobehavioral Reviews, volume 97, pp. 3 - 9
(Article)
Abstract
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 stagnated. The recently EU-funded PRISM project aims to develop a quantitative biological approach to the understanding and classification of neuropsychiatric diseases
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to accelerate the discovery and development of better treatments. By combining clinical data sets from major worldwide disease cohorts and by applying innovative technologies to deeply phenotype stratified patient groups, we will define a set of quantifiable biological parameters for social withdrawal and cognitive deficits common to Schizophrenia (SZ), Major Depression (MD), and Alzheimer's Disease (AD). These studies aim to provide new classification and assessment tools for social and cognitive performance across neuropsychiatric disorders, clinically relevant substrates for treatment development, and predictive, preclinical animal systems. With patients and regulatory agencies, we seek to provide clear routes for the future translation and regulatory approval for new treatments and provide solutions to the growing public health challenges of psychiatry and neurology.
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Keywords: Review, Human, Behaviour, EEG, Attention, Major Depression, Schizophrenia, Quantitative biology, Cross-disorder, Translational research, Mouse, Alzheimer's Disease, Neuro-imaging, Social withdrawal, Genetics, Transdiagnostic, Smartphone technology, Drug discovery, Working memory, Sensory processing, Humans, Disease Models, Animal, Neuropsychiatry/methods, Mental Disorders/diagnosis, Computational Biology, Drug Discovery, Brain/physiopathology, Animals, Models, Neurological, Research Design, Neuropsychology and Physiological Psychology, Cognitive Neuroscience, Behavioral Neuroscience, Review, Research Support, Non-U.S. Gov't, Journal Article
ISSN: 0149-7634
Publisher: Elsevier Limited
Note: Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.
(Peer reviewed)