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The Relationship Between White Matter Microstructure and General Cognitive Ability in Patients With Schizophrenia and Healthy Participants in the ENIGMA Consortium.
American Journal of Psychiatry ( IF 15.1 ) Pub Date : 2020-03-26 , DOI: 10.1176/appi.ajp.2019.19030225
Laurena Holleran 1 , Sinead Kelly 1 , Clara Alloza 1 , Ingrid Agartz 1 , Ole A Andreassen 1 , Celso Arango 1 , Nerisa Banaj 1 , Vince Calhoun 1 , Dara Cannon 1 , Vaughan Carr 1 , Aiden Corvin 1 , David C Glahn 1 , Ruben Gur 1 , Elliot Hong 1 , Cyril Hoschl 1 , Fleur M Howells 1 , Anthony James 1 , Joost Janssen 1 , Peter Kochunov 1 , Stephen M Lawrie 1 , Jingyu Liu 1 , Covadonga Martinez 1 , Colm McDonald 1 , Derek Morris 1 , David Mothersill 1 , Christos Pantelis 1 , Fabrizio Piras 1 , Steven Potkin 1 , Paul E Rasser 1 , David Roalf 1 , Laura Rowland 1 , Theodore Satterthwaite 1 , Ulrich Schall 1 , Gianfranco Spalletta 1 , Filip Spaniel 1 , Dan J Stein 1 , Anne Uhlmann 1 , Aristotle Voineskos 1 , Andrew Zalesky 1 , Theo G M van Erp 1 , Jessica A Turner 1 , Ian J Deary 1 , Paul M Thompson 1 , Neda Jahanshad 1 , Gary Donohoe 1
Affiliation  

Objective:

Schizophrenia has recently been associated with widespread white matter microstructural abnormalities, but the functional effects of these abnormalities remain unclear. Widespread heterogeneity of results from studies published to date preclude any definitive characterization of the relationship between white matter and cognitive performance in schizophrenia. Given the relevance of deficits in cognitive function to predicting social and functional outcomes in schizophrenia, the authors carried out a meta-analysis of available data through the ENIGMA Consortium, using a common analysis pipeline, to elucidate the relationship between white matter microstructure and a measure of general cognitive performance, IQ, in patients with schizophrenia and healthy participants.

Methods:

The meta-analysis included 760 patients with schizophrenia and 957 healthy participants from 11 participating ENIGMA Consortium sites. For each site, principal component analysis was used to calculate both a global fractional anisotropy component (gFA) and a fractional anisotropy component for six long association tracts (LA-gFA) previously associated with cognition.

Results:

Meta-analyses of regression results indicated that gFA accounted for a significant amount of variation in cognition in the full sample (effect size [Hedges’ g]=0.27, CI=0.17–0.36), with similar effects sizes observed for both the patient (effect size=0.20, CI=0.05–0.35) and healthy participant groups (effect size=0.32, CI=0.18–0.45). Comparable patterns of association were also observed between LA-gFA and cognition for the full sample (effect size=0.28, CI=0.18–0.37), the patient group (effect size=0.23, CI=0.09–0.38), and the healthy participant group (effect size=0.31, CI=0.18–0.44).

Conclusions:

This study provides robust evidence that cognitive ability is associated with global structural connectivity, with higher fractional anisotropy associated with higher IQ. This association was independent of diagnosis; while schizophrenia patients tended to have lower fractional anisotropy and lower IQ than healthy participants, the comparable size of effect in each group suggested a more general, rather than disease-specific, pattern of association.



中文翻译:

ENIGMA 联盟中精神分裂症患者和健康参与者的白质微结构与一般认知能力之间的关系。

客观的:

精神分裂症最近与广泛的白质微结构异常有关,但这些异常的功能影响仍不清楚。迄今为止发表的研究结果的广泛异质性排除了对精神分裂症白质与认知表现之间关系的任何明确表征。鉴于认知功能缺陷与预测精神分裂症的社会和功能结果的相关性,作者通过 ENIGMA 联盟使用通用分析管道对可用数据进行了荟萃分析,以阐明白质微观结构与测量之间的关系精神分裂症患者和健康参与者的一般认知表现,智商。

方法:

荟萃分析包括来自 11 个参与 ENIGMA 联盟站点的 760 名精神分裂症患者和 957 名健康参与者。对于每个站点,主成分分析用于计算先前与认知相关的六个长关联束 (LA-gFA) 的全局分数各向异性分量 (gFA) 和分数各向异性分量。

结果:

回归结果的荟萃分析表明,gFA 占整个样本中认知的显着变化(效应大小 [Hedges' g] = 0.27,CI = 0.17-0.36),对于两个患者都观察到相似的效应大小(影响大小=0.20,CI=0.05-0.35)和健康参与者组(影响大小=0.32,CI=0.18-0.45)。在 LA-gFA 和认知之间也观察到可比较的关联模式,对于完整样本(效应大小 = 0.28,CI = 0.18-0.37)、患者组(效应大小 = 0.23,CI = 0.09-0.38)和健康参与者组(效应大小=0.31,CI=0.18–0.44)。

结论:

这项研究提供了强有力的证据,证明认知能力与整体结构连通性相关,更高的分数各向异性与更高的智商相关。这种关联与诊断无关;虽然与健康参与者相比,精神分裂症患者的分数各向异性和智商往往较低,但每组中可比较的影响大小表明了更普遍的关联模式,而不是特定于疾病的关联模式。

更新日期:2020-03-26
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