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Altered Integrity of the Right Arcuate Fasciculus as a Trait Marker of Schizophrenia: A Sibling Study Using Tractography-Based Analysis of the Whole Brain

机译:右弓形筋膜改变的完整性作为精神分裂症的一个特征标记:一项基于基于运动学的全脑分析的兄弟研究

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Trait markers of schizophrenia aid the dissection of the heterogeneous phenotypes into distinct subtypes and facilitate the genetic underpinning of the disease. The microstructural integrity of the white matter tracts could serve as a trait marker of schizophrenia, and tractography-based analysis (TBA) is the current method of choice. Manual tractography is time-consuming and limits the analysis to preselected fiber tracts. Here, we sought to identify a trait marker of schizophrenia from among 74 fiber tracts across the whole brain using a novel automatic TBA method. Thirty-one patients with schizophrenia, 31 unaffected siblings and 31 healthy controls were recruited to undergo diffusion spectrum magnetic resonance imaging at 3T. Generalized fractional anisotropy (GFA), an index reflecting tract integrity, was computed for each tract and compared among the three groups. Ten tracts were found to exhibit significant differences between the groups with a linear, stepwise order from controls to siblings to patients; they included the right arcuate fasciculus, bilateral fornices, bilateral auditory tracts, left optic radiation, the genu of the corpus callosum, and the corpus callosum to the bilateral dorsolateral prefrontal cortices, bilateral temporal poles, and bilateral hippocampi. Posthoc between-group analyses revealed that the GFA of the right arcuate fasciculus was significantly decreased in both the patients and unaffected siblings compared to the controls. Furthermore, the GFA of the right arcuate fasciculus exhibited a trend toward positive symptom scores. In conclusion, the right arcuate fasciculus may be a candidate trait marker and deserves further study to verify any genetic association. Hum Brain Mapp 36:1065-1076, 2015.(c) 2014 Wiley Periodicals, Inc.
机译:精神分裂症的特征标记有助于将异质表型分解为不同的亚型,并促进疾病的遗传基础。白质束的微结构完整性可以作为精神分裂症的特征标记,而基于束层摄影的分析(TBA)是当前的选择方法。手动体层照相术很费时,并且只能将分析限制在预选的纤维束中。在这里,我们试图使用新颖的自动TBA方法从整个大脑的74条纤维束中识别出精神分裂症的特征标记。招募了31例精神分裂症患者,31名未受影响的兄弟姐妹和31名健康对照者,以3T进行扩散光谱磁共振成像。计算每个区域的广义分数各向异性(GFA)(反映区域完整性的指标),并在三组之间进行比较。从对照组到兄弟姐妹再到患者,发现十个管道在各组之间表现出明显的线性差异。它们包括右弓形束,双侧前突,双侧听觉道,左视辐射,call体的属以及双侧背外侧前额叶皮层,双侧颞极和双侧海马体的call体。事后组间分析表明,与对照组相比,患者和未患病兄弟姐妹的右弓形筋膜的GFA均显着降低。此外,右弓形筋膜的GFA表现出朝向阳性症状评分的趋势。总之,右弓形束可能是候选的性状标记,值得进一步研究以验证任何遗传关联。嗡嗡声大脑Mapp 36:1065-1076,2015.(c)2014威利期刊公司

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