连接体
妄想
心理学
意识的神经相关物
楔前
静息状态功能磁共振成像
神经科学
默认模式网络
联想(心理学)
连接组学
任务正网络
认知心理学
中央前回
功能磁共振成像
精神科
功能连接
认知
医学
心理治疗师
磁共振成像
放射科
作者
Tae Young Lee,Wi Hoon Jung,Yoo Bin Kwak,Youngwoo Bryan Yoon,Junhee Lee,Minah Kim,Euitae Kim,Jun Soo Kwon
标识
DOI:10.1017/s0033291720000057
摘要
Abstract Background Obsession and delusion are theoretically distinct from each other in terms of reality testing. Despite such phenomenological distinction, no extant studies have examined the identification of common and distinct neural correlates of obsession and delusion by employing biologically grounded methods. Here, we investigated dimensional effects of obsession and delusion spanning across the traditional diagnostic boundaries reflected upon the resting-state functional connectivity (RSFC) using connectome-wide association studies (CWAS). Methods Our study sample comprised of 96 patients with obsessive–compulsive disorder, 75 patients with schizophrenia, and 65 healthy controls. A connectome-wide analysis was conducted to examine the relationship between obsession and delusion severity and RFSC using multivariate distance-based matrix regression. Results Obsession was associated with the supplementary motor area, precentral gyrus, and superior parietal lobule, while delusion was associated with the precuneus. Follow-up seed-based RSFC and modularity analyses revealed that obsession was related to aberrant inter-network connectivity strength. Additional inter-network analyses demonstrated the association between obsession severity and inter-network connectivity between the frontoparietal control network and the dorsal attention network. Conclusions Our CWAS study based on the Research Domain Criteria (RDoC) provides novel evidence for the circuit-level functional dysconnectivity associated with obsession and delusion severity across diagnostic boundaries. Further refinement and accumulation of biomarkers from studies embedded within the RDoC framework would provide useful information in treating individuals who have some obsession or delusion symptoms but cannot be identified by the category of clinical symptoms alone.
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