Prediction of individual season of birth using MRI.
Prediction of individual season of birth using MRI.
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DOI：
10.1016/j.neuroimage.2013.11.011
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发表时间：
2014-03
期刊：
影响因子：
5.7
通讯作者：
Pantazatos SP
中科院分区：
文献类型：
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作者：
Pantazatos SP
先前的研究表明，出生季节（ESTA）与神经行为障碍（如精神分裂症和双相情感障碍），人格特质和自杀行为的患病率之间存在统计学关联。这些影响被认为是由围产期光周期的季节性差异介导的，最近显示出啮齿动物的昼夜节律钟神经元和行为。然而，目前尚不清楚是否有任何可测量的差异，在正常成人大脑中，以及是否可以推断出个人的ESTA表型的基础上。在这里，我表明，MRI预测区域灰质体积的神经解剖学差异，MRI扫描携带空间分布的信息，允许显着以上的机会预测一个人的MRI。使用超过550个结构性脑扫描的开源数据库，基于体素的形态测量（VBM）分析显示，男性左侧上级颞回（STG）中存在显著的脑功能障碍效应（p=0.009，FWE全脑校正），秋季和冬季出生的灰质体积更大。余弦分析显示左侧STG灰质体积具有显著的年周期性（零振幅检验：p<5×10-7），峰值在12月底，最低值在6月底，表明围产期光周期解释了这种光效应。全脑VBM图被用作基于多变量机器学习的分析的输入特征，以分类神经元。在女性中实现了显著高于机会预测（总体准确度35%，p<0.001），但在男性中没有实现（总体准确度26%，p=0.45）。女性的成对二元分类显示，冬季与夏季分类相比获得了最高的区分度（ROC曲线下的峰面积=0.71，p<0.0005）。辨别区域包括梭状回和颞中回、顶叶下叶和上级叶、小脑、背外侧和背内侧前额叶皮层。研究结果表明，MRI可检测到癫痫，这意味着癫痫对发育中的人类大脑产生影响，并持续到成年期，并表明神经影像学可能是一个有价值的中间表型，在弥合癫痫与人格和神经行为障碍之间的差距。
Previous research suggests statistical associations between season of birth (SOB) with prevalence of neurobehavioral disorders such as schizophrenia and bipolar disorder, personality traits, and suicidal behavior. These effects are thought to be mediated by seasonal differences in perinatal photoperiod, which was recently shown to imprint circadian clock neurons and behavior in rodents. However, it is unknown whether SOB is associated with any measurable differences in the normal human adult brain, and whether individual SOB can be deduced based on phenotype. Here I show that SOB predicts neuroanatomical differences in regional grey matter volume, and that MRI scans carry spatially distributed information allowing significantly above chance prediction of an individual’s SOB. Using an open source database of over 550 structural brain scans, Voxel-Based Morphometry (VBM) analysis showed a significant SOB effect in left superior temporal gyrus (STG) in males (p=0.009, FWE whole-brain corrected), with greater grey matter volumes in fall and winter births. A cosinor analysis revealed a significant annual periodicity in left STG grey matter volume (Zero Amplitude Test: p<5×10-7), with a peak towards the end of December and a nadir towards the end of June, suggesting that perinatal photoperiod accounts for this SOB effect. Whole-brain VBM maps were used as input features to multivariate machine-learning based analyses to classify SOB. Significantly greater than chance prediction was achieved in females (overall accuracy 35%, p<0.001), but not in males (overall accuracy 26%, p=0.45). Pair-wise binary classification in females revealed the highest discrimination was obtained for winter vs. summer classification (peak area under the ROC curve=0.71, p<0.0005). Discriminating regions included fusiform and middle temporal gyrus, inferior and superior parietal lobe, cerebellum, and dorsolateral and dorsomedial prefrontal cortex. Results indicate SOB is detectable with MRI, imply SOB exerts effects on the developing human brain that persist through adulthood, and suggest neuroimaging may be a valuable intermediate phenotype in bridging the gap between SOB and personality and neurobehavioral disorders.