| Literature DB >> 30399355 |
Gary Gilmour1, Stefano Porcelli2, Valérie Bertaina-Anglade3, Estibaliz Arce4, Juergen Dukart5, Anja Hayen6, Antonio Lobo7, Raul Lopez-Anton8, Emilio Merlo Pich9, Darrel J Pemberton10, Martha N Havenith11, Jeffrey C Glennon11, Brian T Harel4, Gerard Dawson6, Hugh Marston12, Rouba Kozak4, Alessandro Serretti2.
Abstract
Central nervous system diseases are not currently diagnosed based on knowledge of biological mechanisms underlying their symptoms. Greater understanding may be offered through an agnostic approach to traditional disease categories, where learning more about shared biological mechanisms across conditions could potentially reclassify sub-groups of patients to allow realisation of more effective treatments. This review represents the output of the collaborative group "PRISM", tasked with considering assay choices for assessment of attention and working memory in a transdiagnostic cohort of Alzheimer's disease and schizophrenia patients exhibiting symptomatic spectra of social withdrawal. A multidimensional analysis of this nature has not been previously attempted. Nominated assays (continuous performance test III, attention network test, digit symbol substitution, N-back, complex span, spatial navigation in a virtual environment) reflected a necessary compromise between the need for broad assessment of the neuropsychological constructs in question with several pragmatic criteria: patient burden, compatibility with neurophysiologic measures and availability of preclinical homologues.Entities:
Keywords: Alzheimer’s Disease; IMI; PRISM; schizophrenia; social withdrawal; translation; working memory
Mesh:
Year: 2018 PMID: 30399355 DOI: 10.1016/j.neubiorev.2018.09.025
Source DB: PubMed Journal: Neurosci Biobehav Rev ISSN: 0149-7634 Impact factor: 8.989