A quantitative approach to neuropsychiatry: The why and the how.
Alzheimer’s Disease
Attention
Behaviour
Cross-disorder
Drug discovery
EEG
Genetics
Human
Major Depression
Mouse
Neuro-imaging
Quantitative biology
Schizophrenia
Sensory processing
Smartphone technology
Social withdrawal
Transdiagnostic
Translational research
Working memory
Journal
Neuroscience and biobehavioral reviews
ISSN: 1873-7528
Titre abrégé: Neurosci Biobehav Rev
Pays: United States
ID NLM: 7806090
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
received:
30
07
2017
revised:
08
12
2017
accepted:
11
12
2017
pubmed:
17
12
2017
medline:
30
6
2019
entrez:
17
12
2017
Statut:
ppublish
Résumé
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 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.
Identifiants
pubmed: 29246661
pii: S0149-7634(17)30534-1
doi: 10.1016/j.neubiorev.2017.12.008
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
3-9Informations de copyright
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.