Translational Neuroscience, Eli Lilly & Co. Ltd., Erl Wood Manor, Sunninghill Road, Windlesham, Surrey, GU20 6PH, UK.
Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Neurosci Biobehav Rev. 2019 Feb;97:47-69. doi: 10.1016/j.neubiorev.2018.09.025. Epub 2018 Nov 3.
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.
目前,中枢神经系统疾病并不是基于对其症状背后的生物学机制的了解来诊断的。通过对传统疾病类别采取不可知论的方法,可以提供更多的了解,即更多地了解不同情况下共同的生物学机制,这可能会重新分类亚组患者,从而实现更有效的治疗。这篇综述代表了协作小组“PRISM”的成果,该小组负责考虑在表现出社会回避症状谱的阿尔茨海默病和精神分裂症患者的跨诊断队列中评估注意力和工作记忆的检测选择。这种多维分析以前从未尝试过。提名的检测方法(连续作业测试 III、注意网络测试、数字符号替代、N 回、复杂跨度、虚拟环境中的空间导航)反映了在需要广泛评估所涉及的神经心理学结构与几个实际标准之间的必要折衷:患者负担、与神经生理测量的兼容性以及临床前同源物的可用性。