Dissecting the brain-cognition relationship in schizophrenia and adult attention deficit hyperactivity disorder

剖析精神分裂症和成人注意力缺陷多动障碍的大脑与认知关系

• 批准号: 537435156
• 负责人: Professor Dr. Axel Krug
• 金额: --
• 依托单位: Klinik und Poliklinik für Psychiatrie und Psychotherapie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/537435156?language=en
• 关键词: Dissecting; brain; cognition; relationship; schizophrenia

Studies of the last years have suggested an overlap of psychopathological symptoms, cognitive impairments, brain morphometric changes, course of disorder as well as genetic and environmental risk factors in psychiatric disorders. These insights strongly suggest the necessity to study psychiatric disorders in a translational manner to disentangle commonalities as well as still existing differences in these entities. The aim of the current proposal is to study these differences and commonalities in schizophrenia and adult attention-deficit-hyperactivity disorder. To this end, a cohort of patients and healthy controls will be deeply phenotyped on a variety of levels: It is proposed to study cognition, personality as well as factors of risk and resilience. The main focus of the study will be an in-depths brain morphometric MRI investigation of all subjects. Within this focus, well-established markers such as fiber-tract integrity and grey matter morphometry will be investigated. For these markers, large cohorts for replication and augmentation are available. A uniquely new element of this proposal is the additional use of new MRI methods not widely used in psychiatric research so far, Quantitative T1-Mapping and Quantitative Susceptibility Mapping. These brain morphometric markers will be associated with the additionally assessed phenotypes to investigate brain-behavior-relationships within and between patients and controls. In addition to standard uni- and multivariate analyses, hypothesis-free machine learning techniques will be employed to generate new insights into differences and commonalities of brain-behavior relationships in these disorders. Data will be analyzed in Bonn but will be available to national and international consortia such as ENIGMA.

过去几年的研究表明，精神疾病的精神病理症状、认知障碍、脑形态计量学变化、疾病过程以及遗传和环境风险因素存在重叠。这些见解强烈地表明，有必要以翻译的方式研究精神障碍，以理清这些实体之间的共同点和仍然存在的差异。目前这项提议的目的是研究精神分裂症和成人注意力缺陷多动障碍的这些区别和共同点。为此，将在多个层面上对一组患者和健康对照进行深入的表型分析：建议研究认知、个性以及风险和弹性因素。这项研究的主要焦点将是对所有受试者进行深入的脑形态计量学MRI调查。在这一焦点中，将研究诸如纤维束完整性和灰质形态计量学等公认的标记。对于这些标记，可以获得用于复制和扩增的大队列。这项建议的一个独特的新元素是额外使用到目前为止在精神病学研究中尚未广泛使用的新的MRI方法，定量T1图谱和定量易感性图谱。这些脑形态测量标记物将与额外评估的表型相关联，以调查患者和对照组内部和之间的大脑行为关系。除了标准的单变量和多变量分析外，还将使用无假设的机器学习技术来产生对这些疾病中大脑行为关系的差异和共性的新见解。数据将在波恩进行分析，但将向Enigma等国家和国际财团提供。