McLean Hospital, Schizophrenia and Bipolar Disorder Program, United States of America; Harvard Medical School, Department of Psychiatry, United States of America.
McLean Hospital, Schizophrenia and Bipolar Disorder Program, United States of America; Harvard Medical School, Department of Psychiatry, United States of America.
Schizophr Res. 2019 Feb;204:120-126. doi: 10.1016/j.schres.2018.08.013. Epub 2018 Aug 17.
Cognitive dysfunction is common in psychotic disorders, and may reflect underlying pathophysiology. However, substantial cognitive heterogeneity exists both within and between diagnostic categories, creating challenges for studying the neurobiology of cognitive dysfunction in patients. The aim of this study was to identify patients with psychosis with intact versus impaired cognitive profiles, and to examine resting state functional connectivity between patient groups and compared to healthy controls to determine the extent to which patterns of connectivity are overlapping or distinct.
Participants with affective or non-affective psychosis (n=120) and healthy controls (n=31) were administered the MATRICS Consensus Cognitive Battery, clinical and community functioning assessments, and an fMRI scan to measure resting state functional connectivity (RSFC). Cognitive composite scores were used to identify groups of patients with and without cognitive dysfunction. RSFC was compared between groups of patients and healthy controls, controlling for demographic and clinical variables.
Both cognitively intact and cognitively impaired patients showed decreased intrinsic connectivity compared to controls in frontoparietal control (FPN) and motor networks. Patients with cognitive impairment showed additional reductions in FPN connectivity compared to patients with intact cognition, particularly in subnetwork A.
We leveraged the heterogeneity in cognitive ability among patients with psychosis to disentangle the relative contributions of cognitive dysfunction and presence of an underlying psychotic illness using resting state functional connectivity. These findings suggest at least partially separable effects of presence of a psychotic disorder and neurocognitive impairment contributing to network dysconnectivity in psychosis.
认知功能障碍在精神疾病中很常见,可能反映了潜在的病理生理学机制。然而,在诊断类别内和类别之间都存在大量的认知异质性,这给研究精神障碍患者的认知功能障碍的神经生物学带来了挑战。本研究的目的是确定认知功能正常和受损的精神疾病患者,并比较患者组和健康对照组之间的静息状态功能连接,以确定连接模式的重叠或差异程度。
患有情感或非情感性精神病(n=120)和健康对照组(n=31)的参与者接受了 MATRICS 共识认知电池、临床和社区功能评估以及 fMRI 扫描,以测量静息状态功能连接(RSFC)。使用认知综合评分来识别有和没有认知功能障碍的患者组。在控制人口统计学和临床变量的情况下,比较了患者组和健康对照组之间的 RSFC。
认知正常和认知受损的患者与对照组相比,在额顶控制(FPN)和运动网络中表现出内在连接的降低。与认知正常的患者相比,认知受损的患者在 FPN 连接方面表现出额外的降低,尤其是在子网 A 中。
我们利用精神疾病患者认知能力的异质性,使用静息状态功能连接来区分认知功能障碍和潜在的精神疾病的相对贡献。这些发现表明,精神障碍和神经认知障碍的存在至少在一定程度上导致了精神分裂症网络连接的中断。