The Amsterdam Resting-State Questionnaire reveals multiple phenotypes of resting-state cognition.
The Amsterdam Resting-State Questionnaire reveals multiple phenotypes of resting-state cognition.
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DOI：
10.3389/fnhum.2013.00446
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发表时间：
2013
影响因子：
2.9
通讯作者：
Linkenkaer-Hansen K
中科院分区：
文献类型：
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作者：
Diaz BA;Van Der Sluis S;Moens S;Benjamins JS;Migliorati F;Stoffers D;Den Braber A;Poil SS;Hardstone R;Van't Ent D;Boomsma DI;De Geus E;Mansvelder HD;Van Someren EJ;Linkenkaer-Hansen K
静息态神经成像是研究健康和疾病中大脑功能的主要范式。它对临床研究很有吸引力，因为它对患者简单，直接标准化，对大脑疾病敏感。重要的是，像走神这样的非感官体验可能来自持续的大脑活动。然而，我们对大脑活动和认知之间的联系知之甚少，因为缺乏静息状态认知的表型以及量化它们的工具。为了促进对静息状态认知的快速和结构化测量，我们开发了一项包含50项的自我报告调查，即阿姆斯特丹静息状态问卷（ARSQ）。基于813名参与者在家中闭眼休息5分钟后评估的ARSQ数据，我们使用因子分析确定了7个维度的休息状态认知：心理不连续性，心理理论，自我，计划，嗜睡，舒适和躯体意识。此外，我们还发现，静息状态下的功能磁共振成像和脑电图的认知结构是相似的，并且所有维度的重测相关性都非常高。为了探讨静息状态认知的个体间差异是否与健康状况有关，我们将ARSQ衍生因子得分与测量抑郁、焦虑和睡眠质量的心理测量量表相关联。心理健康与舒适度呈正相关，与心理不连续性呈负相关。最后，我们表明，嗜睡可能部分解释了先前与阿尔茨海默病相关的静息状态脑电图。这些研究结果表明，ARSQ很容易提供有关认知表型的信息，它是一个很有前途的工具，用于研究健康和疾病中静息状态认知的神经相关性。
Resting-state neuroimaging is a dominant paradigm for studying brain function in health and disease. It is attractive for clinical research because of its simplicity for patients, straightforward standardization, and sensitivity to brain disorders. Importantly, non-sensory experiences like mind wandering may arise from ongoing brain activity. However, little is known about the link between ongoing brain activity and cognition, as phenotypes of resting-state cognition—and tools to quantify them—have been lacking. To facilitate rapid and structured measurements of resting-state cognition we developed a 50-item self-report survey, the Amsterdam Resting-State Questionnaire (ARSQ). Based on ARSQ data from 813 participants assessed after 5 min eyes-closed rest in their home, we identified seven dimensions of resting-state cognition using factor analysis: Discontinuity of Mind, Theory of Mind, Self, Planning, Sleepiness, Comfort, and Somatic Awareness. Further, we showed that the structure of cognition was similar during resting-state fMRI and EEG, and that the test-retest correlations were remarkably high for all dimensions. To explore whether inter-individual variation of resting-state cognition is related to health status, we correlated ARSQ-derived factor scores with psychometric scales measuring depression, anxiety, and sleep quality. Mental health correlated positively with Comfort and negatively with Discontinuity of Mind. Finally, we show that sleepiness may partially explain a resting-state EEG profile previously associated with Alzheimer's disease. These findings indicate that the ARSQ readily provides information about cognitive phenotypes and that it is a promising tool for research on the neural correlates of resting-state cognition in health and disease.