额颞叶痴呆患者表现出预测扫视的缺陷。

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2021-08-01 Epub Date: 2020-09-18 DOI:10.1007/s10827-020-00765-2
Nicolas Deravet, Jean-Jacques Orban de Xivry, Adrian Ivanoiu, Jean-Christophe Bier, Kurt Segers, Demet Yüksel, Philippe Lefèvre
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引用次数: 2

摘要

预测和时间估计是日常生活中运动功能所必需的。例如,在眼球运动的背景下,它们允许预测扫视和眼睛重新加速,以预期目标的再次出现。虽然所涉及的神经通路尚未完全了解,但已知额叶起着重要作用。因此,影响它的神经系统疾病,如额颞叶(FTD)痴呆,很可能导致这种运动的缺陷。在这项工作中,我们研究了额颞叶痴呆患者在动眼肌任务中的表现,该任务旨在以不同的速率引发预测性扫视,并将其与年轻人和老年人进行比较。在患者中发现了预测性眼跳产生的明显缺陷,特别是当眼跳间隔时间较短(~500 ms)时。此外,一名无症状的C9ORF72突变携带者表现出与FTD患者相似的动眼肌行为模式。他在测量后3年内出现FTD症状,提示动眼肌功能损害可能是早期临床症状。综上所述,这些结果支持额叶在短时间内预测运动时间的作用,并建议对FTD患者的预测扫视进行进一步研究,以充分评估其作为诊断辅助的潜力。
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Frontotemporal dementia patients exhibit deficits in predictive saccades.

Prediction and time estimation are all but required for motor function in everyday life. In the context of eye movements, for instance, they allow predictive saccades and eye re-acceleration in anticipation of a target re-appearance. While the neural pathways involved are not fully understood, it is known that the frontal lobe plays an important role. As such, neurological disorders that affect it, such as frontotemporal (FTD) dementia, are likely to induce deficits in such movements. In this work, we study the performances of frontotemporal dementia patients in an oculomotor task designed to elicit predictive saccades at different rates, and compare them to young and older adults. Clear deficits in the production of predictive saccades were found in patients, in particular when the time between saccades was short (~500 ms). Furthermore, one asymptomatic C9ORF72 mutation bearer showed patterns of oculomotor behavior similar to FTD patients. He exhibited FTD symptoms within 3 years post-measure, suggesting that an impairment of oculomotor function could be an early clinical sign. Taken together, these results argue in favor of a role of the frontal lobe in predictive movements timing over short timescales, and suggest that predictive saccades in FTD patients warrant further investigation to fully assess their potential as a diagnostic aid.

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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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