Functional network connectivity impairments and core cognitive deficits in schizophrenia
Functional network connectivity impairments and core cognitive deficits in schizophrenia
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DOI：
10.1002/hbm.24723
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发表时间：
2019-07-16
影响因子：
4.8
通讯作者：
Kochunov, Peter
中科院分区：
文献类型：
--
作者：
Adhikari, Bhim M.;Hong, L. Elliot;Kochunov, Peter
认知缺陷会导致精神分裂症患者的功能障碍，并且可能与服务于认知的功能网络的改变有关。我们评估了主要功能网络的完整性，并评估了它们在支持精神分裂症影响的两种认知功能中的作用：处理速度（PS）和工作记忆（WM）。静息态功能磁共振成像 (rsfMRI) 数据（N = 261 名患者和 327 名对照）从三个独立队列中汇总，并使用 Enhancing NeuroImaging Genetics through Meta Analysis rsfMRI 分析流程进行评估。荟萃分析和大型分析用于评估患者对照在功能连接（FC）测量方面的差异。典型相关分析用于研究认知缺陷和 FC 测量之间的关联。三个队列中的患者表现出一致的认知和静息态 FC (rsFC) 缺陷模式。使用基于种子和双回归方法计算的 rsFC 的患者对照差异是一致的（Cohen's d：0.31 +/- 0.09 和 0.29 +/- 0.08，p < 10(-4)）。 RsFC 测量分别解释了完整样本以及患者和对照中 12-17% 的 PS 和 WM 个体差异，其中在显着性、听觉、体感和默认模式网络中发现最强的相关性。源自多个网络的 rsFC（网络内）与 PS（r = .45，p = .07）和 WM（r = .36，p = .16）以及 rsFC（网络间）与 PS（r = .52，p = 8.4 x 10(-3)）和 WM（r = .47，p = .02）之间的关联模式与患者对照差异的效应大小相关在功能网络中。未检测到 rsFC 与当前药物剂量或精神病评级之间存在关联。患者表现出多个 FC 网络显着减少，这可能部分是精神分裂症某些核心神经认知缺陷的基础。不同网络中连接认知关系的强度与网络对精神分裂症的脆弱性密切相关。
Cognitive deficits contribute to functional disability in patients with schizophrenia and may be related to altered functional networks that serve cognition. We evaluated the integrity of major functional networks and assessed their role in supporting two cognitive functions affected in schizophrenia: processing speed (PS) and working memory (WM). Resting-state functional magnetic resonance imaging (rsfMRI) data, N = 261 patients and 327 controls, were aggregated from three independent cohorts and evaluated using Enhancing NeuroImaging Genetics through Meta Analysis rsfMRI analysis pipeline. Meta- and mega-analyses were used to evaluate patient-control differences in functional connectivity (FC) measures. Canonical correlation analysis was used to study the association between cognitive deficits and FC measures. Patients showed consistent patterns of cognitive and resting-state FC (rsFC) deficits across three cohorts. Patient-control differences in rsFC calculated using seed-based and dual-regression approaches were consistent (Cohen's d: 0.31 +/- 0.09 and 0.29 +/- 0.08, p < 10(-4)). RsFC measures explained 12-17% of the individual variations in PS and WM in the full sample and in patients and controls separately, with the strongest correlations found in salience, auditory, somatosensory, and default-mode networks. The pattern of association between rsFC (within-network) and PS (r = .45, p = .07) and WM (r = .36, p = .16), and rsFC (between-network) and PS (r = .52, p = 8.4 x 10(-3)) and WM (r = .47, p = .02), derived from multiple networks was related to effect size of patient-control differences in the functional networks. No association was detected between rsFC and current medication dose or psychosis ratings. Patients demonstrated significant reduction in several FC networks that may partially underlie some of the core neurocognitive deficits in schizophrenia. The strength of connectivity-cognition relationships in different networks was strongly associated with network's vulnerability to schizophrenia.