注意缺陷多动障碍(ADHD)个体智力的脑结构相关性。

IF 1 Q4 NEUROSCIENCES
Farnaz Faridi, Ashkan Alvand, Reza Khosrowabadi
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引用次数: 1

摘要

神经影像学证据表明,在正常人中,智力与大脑的一些结构特性有关。然而,这与注意缺陷多动障碍(ADHD)的关系需要进一步研究。方法:采用磁共振成像(MRI)扫描56例ADHD患者,其中合并组30例(平均±SD年龄:10.44±2.41,智商[IQ]=112.13±13.15,男性,右手24),注意力不集中组26例(平均年龄=11.39±2.1,智商=107.44±13.98,男性,右手28),对照组30例(平均年龄=11.08±2.15,智商=115±13.56,男性,右手23),对脑灰质(GM)密度进行估测。结果:本研究采用两种统计方法。在第一种方法中,计算和比较了基于区域的全面智商和GM之间的整体关联模式。第二种方法是在不考虑智商的情况下检查三组基因密度的差异模式。结论:ADHD组与对照组有显著性差异。这一发现可能表明,智力并不完全取决于大脑某些区域的基因密度;这是一种动态现象,能极大地改变神经发育障碍。重点:与健康对照组相比,多动症患者右半球基因与智商的关系降低;与健康对照组相比,多动症患者左半球基因与智商的关系增加;对照组与智商匹配的多动症患者之间观察到的关系差异表明多动症患者存在一种代偿机制,以维持足够的认知表现;基因不是智力的唯一决定因素。智商得分可能受大脑神经动力学的影响;因此,结构协变量可以更好地替代GM密度。摘要:在本研究中,我们估计了2种ADHD亚型(合并型和不注意型)中GM密度与智商得分的关系,以及智商匹配的健康对照组。我们比较了两组之间的关联,发现adhd患者的关联模式与对照组不同。换句话说,多动症患者右半球联系减少,被左半球联系增加所补偿,以维持足够的表现。我们的结论是,大脑结构不是智力的唯一决定因素,智力可能是由大脑的神经动力学支撑的。因此,结构协变量可能是一个更好的替代GM密度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Brain Structural Correlates of Intelligence in Attention Deficit Hyperactivity Disorder (ADHD) Individuals.

Brain Structural Correlates of Intelligence in Attention Deficit Hyperactivity Disorder (ADHD) Individuals.

Brain Structural Correlates of Intelligence in Attention Deficit Hyperactivity Disorder (ADHD) Individuals.

Brain Structural Correlates of Intelligence in Attention Deficit Hyperactivity Disorder (ADHD) Individuals.

Introduction: Neuroimaging evidence has shown the relationship of intelligence with several structural brain properties in normal individuals. However, this relationship with attention deficit hyperactivity disorder (ADHD) needs to be investigated.

Methods: We estimated grey matter (GM) density of the brain using magnetic resonance imaging (MRI) scan on 56 ADHD individuals, including 30 combined individuals (Mean±SD age: 10.44±2.41, intelligence quotient: [IQ]=112.13±13.15, male, 24 right hands) and 26 inattentive individuals (mean age =11.39±2.1, IQ=107.44±13.98, male, 28 right hands) as well as 30 IQ matched healthy control group (mean age=11.08±2.15, IQ=115±13.56, male, 23 right hands).

Results: In this study, two statistical approaches were used. In the first approach, region-based as well as the whole association patterns between full-scale IQ and GM were computed and compared between groups. The second approach was to examine the differential pattern of GM density without considering IQ in three groups.

Conclusion: Results showed significant differences between the ADHD group and the control. This finding could indicate that intelligence is not purely based on the density of GM in certain brain regions; it is a dynamic phenomenon and drastically changes neurodevelopmental disorders.

Highlights: In ADHDs as compared to healthy controls the relation between GM and IQ was decreased at right hemisphere;In ADHDs as compared to healthy controls the relation between GM and IQ was increased at left hemisphere;Differenceses of the observed relation between control group and IQ matched ADHDs suggest a compensatory mechanism in ADHDs to maintaine an adequate cognitive performance;GM is not the only determiner of intelligence. IQ score may be affected by neural dynamic of the brain; therefore, the structural covariate could be a better alternative for GM density.

Plain language summary: In this study, we estimated the relation between GM density and IQ score in 2 subtypes of ADHD (combined and inattentive) and IQ matched healthy control group. We compared the association between groups and found that the pattern of association in ADHDs were different from controls. In the other words, the decreased association at right hemisphere, were compensated by increased association at left hemisphere in ADHDs to maintaine adequate performance. We conclude that, the brain structure is not the single determiner of intelligence, rather intelligence may underpine by neural dynamics of the brain. Therefore, the structural covariate may be a better alternative for GM density.

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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
64
审稿时长
4 weeks
期刊介绍: BCN is an international multidisciplinary journal that publishes editorials, original full-length research articles, short communications, reviews, methodological papers, commentaries, perspectives and “news and reports” in the broad fields of developmental, molecular, cellular, system, computational, behavioral, cognitive, and clinical neuroscience. No area in the neural related sciences is excluded from consideration, although priority is given to studies that provide applied insights into the functioning of the nervous system. BCN aims to advance our understanding of organization and function of the nervous system in health and disease, thereby improving the diagnosis and treatment of neural-related disorders. Manuscripts submitted to BCN should describe novel results generated by experiments that were guided by clearly defined aims or hypotheses. BCN aims to provide serious ties in interdisciplinary communication, accessibility to a broad readership inside Iran and the region and also in all other international academic sites, effective peer review process, and independence from all possible non-scientific interests. BCN also tries to empower national, regional and international collaborative networks in the field of neuroscience in Iran, Middle East, Central Asia and North Africa and to be the voice of the Iranian and regional neuroscience community in the world of neuroscientists. In this way, the journal encourages submission of editorials, review papers, commentaries, methodological notes and perspectives that address this scope.
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