首页> 外文期刊>Behavioural Brain Research: An International Journal >Frontal and parietal activity after sleep deprivation is dependent on task difficulty and can be predicted by the fMRI response after normal sleep
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Frontal and parietal activity after sleep deprivation is dependent on task difficulty and can be predicted by the fMRI response after normal sleep

机译:睡眠不足后的额叶和顶叶活动取决于任务的难度,可以通过正常睡眠后的功能磁共振成像反应来预测

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摘要

Sleep disturbance in neurological and psychiatric disorders is common and associated with diminished cognitive functioning. Whilst these deficits can be localised predominantly to frontal and parietal regions, there have been reported inconsistencies which may be due to differences in the difficulty and type of task. In the present study we examined the effects of sleep deprivation (SD) whilst parametrically varying working memory load using an n-back task. 20 right-handed males performed the n-back task after a night of normal sleep (RW: rested wakefulness) and after approximately 31. h of SD. Comparison of load responsive cerebral activation identified two clusters where the parametric response was altered after SD. In the right ventrolateral prefrontal cortex activity was reduced at the most difficult working memory load, whereas in the right inferior parietal lobe activity was increased at the simplest working memory load. The strength of activation in both of these regions during RW predicted the response of those same regions to SD. While the ability to predict signal change has previously been demonstrated using behavioural measures, to our knowledge this is the first study to show that the neuronal effects of SD can be predicted based upon activation during a normal rested condition.
机译:神经和精神疾病中的睡眠障碍很常见,并且与认知功能下降有关。虽然这些缺陷主要分布在额叶和顶叶区域,但据报道存在不一致之处,这可能是由于任务难度和类型不同所致。在本研究中,我们检查了睡眠剥夺(SD)的影响,同时使用n后退任务以参数方式更改了工作记忆负荷。在正常睡眠一夜(RW:休息时的清醒)后和SD约31.h后,有20位惯用右手的男性执行了n背任务。负荷响应性脑部激活的比较确定了两个簇,其中SD后参数响应发生了改变。在最困难的工作记忆负荷下,右腹外侧前额叶皮层活动减少,而在最简单的工作记忆负荷下,右下顶叶活动增加。在RW期间,这两个区域的激活强度预测了这些相同区域对SD的响应。尽管以前已经使用行为手段证明了预测信号变化的能力,但据我们所知,这是第一项研究,表明可以基于正常休息条件下的激活来预测SD的神经元作用。

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