Quantitative evaluation of human cerebellum-dependent motor learning through prism adaptation of hand-reaching movement.

Quantitative evaluation of human cerebellum-dependent motor learning through prism adaptation of hand-reaching movement.
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DOI:
10.1371/journal.pone.0119376
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Ishikawa K
Ishikawa K
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Hashimoto Y;Honda T;Matsumura K;Nakao M;Soga K;Katano K;Yokota T;Mizusawa H;Nagao S;Ishikawa K

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小脑在运动协调和学习中起着重要作用。然而,运动学习尚未在临床上进行定量评估。因此,目前尚不清楚运动学习如何受到小脑疾病或衰老的影响,以及与不协调的关系。在这里,我们提出了一种使用棱镜适应来测试人类小脑依赖性运动学习的新应用程序。在我们的范例中,在每次试验中,佩戴棱镜护目镜的参与者将食指触摸触摸屏上显示的目标。整个测试由三个连续部分组成:(1) 50 次正常视力试验 (BASELINE),(2) 100 次佩戴将视野向右移动 25° 的棱镜 (PRISM) 试验,以及 (3) 50 次不佩戴棱镜 (REMOVAL) 试验。在健康受试者中,棱镜引起的手指触摸误差,即触摸和目标位置之间的距离,通过重复试验的运动学习逐渐减小。我们发现,这种运动学习可以使用“适应性指数(AI)”来量化,该指数是通过将[PRISM 的最后 10 次试验中的习得]、[REMOVAL 的最初 5 次试验中的保留]和[REMOVAL 的最后 10 次试验中的消退]的每个概率相乘来计算的。 70 岁以下小脑患者的 AI(平均 0.227;n = 62)低于年龄匹配的健康受试者(0.867,n = 21;p < 0.0001)。虽然 AI 与共济失调患者的辨距障碍程度无关,但它随着疾病进展而下降,表明小脑运动倾斜受损与辨距障碍之间存在密切相关性。此外,与70岁以下的健康受试者相比,70岁以上的健康受试者的AI随着年龄的增长而下降。我们建议,我们的棱镜适应范式可以使我们定量评估正常和患病条件下的小脑运动学习。
The cerebellum plays important roles in motor coordination and learning. However, motor learning has not been quantitatively evaluated clinically. It thus remains unclear how motor learning is influenced by cerebellar diseases or aging, and is related with incoordination. Here, we present a new application for testing human cerebellum-dependent motor learning using prism adaptation. In our paradigm, the participant wearing prism-equipped goggles touches their index finger to the target presented on a touchscreen in every trial. The whole test consisted of three consecutive sessions: (1) 50 trials with normal vision (BASELINE), (2) 100 trials wearing the prism that shifts the visual field 25° rightward (PRISM), and (3) 50 trials without the prism (REMOVAL). In healthy subjects, the prism-induced finger-touch error, i.e., the distance between touch and target positions, was decreased gradually by motor learning through repetition of trials. We found that such motor learning could be quantified using the “adaptability index (AI)”, which was calculated by multiplying each probability of [acquisition in the last 10 trials of PRISM], [retention in the initial five trials of REMOVAL], and [extinction in the last 10 trials of REMOVAL]. The AI of cerebellar patients less than 70 years old (mean, 0.227; n = 62) was lower than that of age-matched healthy subjects (0.867, n = 21; p < 0.0001). While AI did not correlate with the magnitude of dysmetria in ataxic patients, it declined in parallel with disease progression, suggesting a close correlation between the impaired cerebellar motor leaning and the dysmetria. Furthermore, AI decreased with aging in the healthy subjects over 70 years old compared with that in the healthy subjects less than 70 years old. We suggest that our paradigm of prism adaptation may allow us to quantitatively assess cerebellar motor learning in both normal and diseased conditions.
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