Relationship between intelligence quotient measures and computerized neurocognitive performance in 22q11.2 deletion syndrome.
Relationship between intelligence quotient measures and computerized neurocognitive performance in 22q11.2 deletion syndrome.
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22Q11.2缺失综合征中的智能措施与计算机化神经认知性能之间的关系。
DOI：
10.1002/brb3.2221
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发表时间：
2021-08
影响因子：
3.1
通讯作者：
Gur RE
中科院分区：
文献类型：
--
作者：
Gur RC;Moore TM;Weinberger R;Mekori-Domachevsky E;Gross R;Emanuel BS;Zackai EH;Moss E;Gallagher RS;McGinn DE;Crowley TB;McDonald-McGinn D;Gothelf D;Gur RE
智商(IQ)测试是评估基因组研究中认知能力的标准，但需要管理和解释方面的专业知识，而且IQ分数不能转化为对可能将基因与行为联系起来的大脑系统的洞察。患有22q11.2缺失综合症(22q11.2DS)的患者经常接受智商测试，以满足特殊需求，但在资源有限的情况下进行测试是具有挑战性的。宾夕法尼亚大学计算机化神经认知电池(CNB)提供了与大脑系统相关的认知能力的测量，并可以筛查认知功能障碍。为了检验CNB测量和智商之间的关系，我们用来自费城和特拉维夫的22q11.2DS(N=1117；52名女性；平均年龄18.8岁)对参与者进行了评估，这些参与者在两次给药之间进行了智商测试和CNB测试，最长时间为5年，另一组样本(n=424)在两个时间点同时进行了智商和CNB评估。我们使用探索性因素分析(包括总体得分的双因素)来估计领域水平的CNB得分，并将这些得分(组内相关性(ICCs))与智商得分相关联。我们发现，时间1和时间2的总体CNB准确度得分与IQ显示出相似的相关性(IQ为0.775，CNB准确度为0.721)，与智商得分有很好的相关性(时间1和时间2的ICC值分别为0.565和0.593)，与适应功能的相关性相似(IQ和CNB分别为0.165和0.172)。我们在标准化的CNB和IQ分数之间提供了一个人行横道(从线性等值)。结果表明，在未来的基因研究中，人们可以用CNB代替智商测试，旨在探索智商以外的大脑-行为关系的特定领域。智商测试是基因组研究中评估认知能力的标准，22q11.2缺失综合征患者经常接受智商测试，但在资源有限的情况下进行测试是具有挑战性的。宾夕法尼亚大学计算机化神经认知电池(CNB)提供了与大脑系统相关的认知能力的测量，并可以筛查认知功能障碍。我们用来自费城和特拉维夫的22q11.2DS对参与者进行评估，并将CNB分数与智商分数相关联。我们发现，总体CNB准确度分数在时间1和时间2之间表现出与IQ相似的相关性，并且与IQ分数有很好的相关性，并且在CNB和IQ分数之间提供了一个十字路口。结果表明，在未来的基因研究中，人们可以用CNB代替智商测试，旨在探索智商以外的大脑-行为关系的特定领域。
Intelligence quotient (IQ) testing is standard for evaluating cognitive abilities in genomic studies but requires professional expertise in administration and interpretation, and IQ scores do not translate into insights on implicated brain systems that can link genes to behavior. Individuals with 22q11.2 deletion syndrome (22q11.2DS) often undergo IQ testing to address special needs, but access to testing in resource‐limited settings is challenging. The brief Penn Computerized Neurocognitive Battery (CNB) provides measures of cognitive abilities related to brain systems and can screen for cognitive dysfunction. To examine the relation between CNB measures and IQ, we evaluated participants with the 22q11.2DS from Philadelphia and Tel Aviv (N = 117; 52 females; mean age 18.8) who performed both an IQ test and the CNB with a maximum of 5 years between administrations and a subsample (n = 24) who had both IQ and CNB assessments at two time points. We estimated domain‐level CNB scores using exploratory factor analysis (including bifactor for overall scores) and related those scores (intraclass correlations (ICCs)) to the IQ scores. We found that the overall CNB accuracy score showed similar correlations between time 1 and time 2 as IQ (0.775 for IQ and 0.721 for CNB accuracy), correlated well with the IQ scores (ICC = 0.565 and 0.593 for time 1 and time 2, respectively), and correlated similarly with adaptive functioning (0.165 and 0.172 for IQ and CNB, respectively). We provide a crosswalk (from linear equating) between standardized CNB and IQ scores. Results suggest that one can substitute the CNB for IQ testing in future genetic studies that aim to probe specific domains of brain‐behavior relations beyond IQ. IQ testing is standard for evaluating cognitive abilities in genomic studies and individuals with 22q11.2 deletion syndrome often undergo IQ testing, but access to testing in resource limited settings is challenging. The brief Penn Computerized Neurocognitive Battery (CNB) provides measures of cognitive abilities related to brain systems and can screen for cognitive dysfunction. We evaluated participants with the 22q11.2DS from Philadelphia and Tel‐Aviv and related CNB scores to IQ scores. We found that the overall CNB accuracy score showed similar correlations between Time 1 and Time 2 as IQ and correlated well with the IQ scores and provide a crosswalk between CNB and IQ scores. Results suggest that one can substitute the CNB for IQ testing in future genetic studies that aim to probe specific domains of brain‐behavior relations beyond IQ.
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影响因子：
11
作者：
Davies G;Marioni RE;Liewald DC;Hill WD;Hagenaars SP;Harris SE;Ritchie SJ;Luciano M;Fawns-Ritchie C;Lyall D;Cullen B;Cox SR;Hayward C;Porteous DJ;Evans J;McIntosh AM;Gallacher J;Craddock N;Pell JP;Smith DJ;Gale CR;Deary IJ
通讯作者：
Deary IJ
DOI：
10.1080/13803395.2015.1037253
发表时间：
2015-05-28
影响因子：
2.2
作者：
Ibrahim, Ibtihal;Tobar, Salwa;Nimgaonkar, Vishwajit
通讯作者：
Nimgaonkar, Vishwajit
影响因子：
2.7
作者：
Reise, Steven;Moore, Tyler;Maydeu-Olivares, Alberto
通讯作者：
Maydeu-Olivares, Alberto
影响因子：
4.5
作者：
Mekori-Domachevsky E;Guri Y;Yi J;Weisman O;Calkins ME;Tang SX;Gross R;McDonald-McGinn DM;Emanuel BS;Zackai EH;Zalsman G;Weizman A;Gur RC;Gur RE;Gothelf D
通讯作者：
Gothelf D
影响因子：
10.6
作者：
Kendall, Kimberley M.;Rees, Elliott;Kirov, George
通讯作者：
Kirov, George