Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis.

Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis.
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DOI:
10.7717/peerj.10052
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发表时间:
2020
期刊:
影响因子:
2.7
通讯作者:
Zhang J
Zhang J
中科院分区:
生物学3区
文献类型:
--
作者:
Ma X;Lu F;Chen H;Hu C;Wang J;Zhang S;Zhang S;Yang G;Zhang J

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肌萎缩侧索硬化症(ALS)患者局部脑活动的静态变化进行了研究。然而,局部脑活动的动态特征知之甚少。动态变化是否可以区分ALS患者和健康对照(HC)尚不清楚。共有54例ALS患者(平均年龄= 48.71岁,男/女= 36/18)和54例HC患者(平均年龄= 48.30岁,男/女= 36/18)接受了磁共振成像扫描。为了描述皮质活动的静态变化,计算了测量区域活动总功率的低频波动幅度(ALFF)。采用滑动窗口法计算所有受试者的动态ALFF(d-ALFF)。以两组间ALFF和d-ALFF的统计学差异为特征,探讨其是否能通过支持向量机方法区分ALS和HC。与HC相比,ALS患者右侧颞下回和双侧额回的ALFF增加,左侧枕中回和左侧中央前回的ALFF减少。此外,与HC相比,ALS患者在广泛区域表现出较低的d-ALFF,包括右侧舌回、左侧上级颞回、双侧中央前回和左侧中央旁小叶。此外,左侧上级眶额回的ALFF与ALSFRS-R评分及疾病进展率有相关趋势。ALFF和d-ALFF两种特征在区分ALS方面的分类性能高于单一方法。在ALS组中发现中央前回、中央旁回、舌回和颞区的动态脑活动减少。联合应用ALFF和d-ALFF可以更准确地区分ALS和HC。这些发现可能为了解ALS的神经病理学基础提供重要证据。
Static changes in local brain activity in patients suffering from amyotrophic lateral sclerosis (ALS) have been studied. However, the dynamic characteristics of local brain activity are poorly understood. Whether dynamic alterations could differentiate patients with ALS from healthy controls (HCs) remains unclear. A total of 54 patients with ALS (mean age = 48.71 years, male/female = 36/18) and 54 (mean age = 48.30 years, male/female = 36/18) HCs underwent magnetic resonance imaging scans. To depict static alterations in cortical activity, amplitude of low-frequency fluctuations (ALFF) which measures the total power of regional activity was computed. Dynamic ALFF (d-ALFF) from all subjects was calculated using a sliding-window approach. Statistical differences in ALFF and d-ALFF between both groups were used as features to explore whether they could differentiate ALS from HC through support vector machine method. In contrast with HCs, patients with ALS displayed increased ALFF in the right inferior temporal gyrus and bilateral frontal gyrus and decreased ALFF in the left middle occipital gyrus and left precentral gyrus. Furthermore, patients with ALS demonstrated lower d-ALFF in widespread regions, including the right lingual gyrus, left superior temporal gyrus, bilateral precentral gyrus, and left paracentral lobule by comparison with HCs. In addition, the ALFF in the left superior orbitofrontal gyrus had a tendency of correlation with ALSFRS-R score and disease progression rate. The classification performance in distinguishing ALS was higher with both features of ALFF and d-ALFF than that with a single approach. Decreased dynamic brain activity in the precentral gyrus, paracentral gyrus, lingual gyrus, and temporal regions was found in the ALS group. The combined ALFF and d-ALFF could distinguish ALS from HCs with a higher accuracy than ALFF and d-ALFF alone. These findings may provide important evidence for understanding the neuropathology underlying ALS.
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