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Omega Entropy from brain functional MRI is differentially associated with Cognitive performance

默认模式网络 认知 心理学 睡眠剥夺对认知功能的影响 语言学习 听力学 蒙特利尔认知评估 人脑 队列 认知测验 认知心理学 样本熵 邦费罗尼校正 熵(时间箭头) 言语记忆 认知障碍 连贯性(哲学赌博策略) 加州言语学习测验 神经科学 集合(抽象数据类型) 神经影像学 联想(心理学) 功能连接 神经认知 认知技能 健康衰老 发展心理学 认知功能衰退 医学 大脑定位 神经心理学 阿尔茨海默病 情景记忆 静息状态功能磁共振成像 任务正网络 颞叶 脑老化 临床心理学 记忆测验
作者
Norman Scheel,Jonathan M Reader,Arijit Bhaumik,David C. Zhu,Scott J. Peltier,Benjamin M. Hampstead,Bruno Giordani,Henry L. Paulson,Jessica S. Damoiseaux
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:21 (S2): e103759-e103759
标识
DOI:10.1002/alz70856_103759
摘要

Abstract Background Resting‐state functional MRI (rs‐fMRI) connectivity has been widely studied, but grasping the complexity of brain activity has been difficult. Dimensional complexity measures like Omega Entropy (Ω) are based on Eigenvalue (EV) spectrum analyses and can be used to estimate the complexity of rs‐fMRI brain activity. A low Ω infers stronger coherence of brain activity, while a high Ω infers less coherence. We attempt to understand the association between Ω and cognitive performance, in an older age cohort. Method We selected a sample of participants from the Michigan Alzheimer's Disease Research Center (P30AG072931) University of Michigan Memory and Aging Project longitudinal cohort ( n = 132, 88 female, 93 White, 37 Black/African American, ages 73 ± 6.4 years) comprised of individuals ranging from cognitively normal ( n = 86) to mild cognitive impairment ( n = 18) and Alzheimer's disease ( n = 28). All participants underwent baseline rs‐fMRI and the National Alzheimer's Coordinating Center Uniform Data Set cognitive test battery, including the mental status measure, Montreal Cognitive Assessment (MoCA), and the Hopkins Verbal Learning Test (HVLT), a list‐learning memory test. Pearson correlations between cognitive scores of MoCA and HVLT, and Ω measures of the brain networks from the rrAD420 atlas were carried out. Significance was set at p <0.05 after corrections using the Bonferroni method. Result HVLT total learning z‐scores were negatively correlated with Default Mode Network (DMN) Ω ( r = ‐0.3, p = 0.005) and positively correlated with the limbic system Ω ( r = 0.37, p = 0.009). HVLT delayed recall z‐scores were negatively correlated with DMN Ω ( r = ‐0.25, p = 0.019). MoCA total scores were negatively correlated with DMN Ω ( r = ‐0.21, p = 0.015). Conclusion Higher cognitive scores in HVLT and MoCA were associated with lower DMN Ω, while higher HVLT total recall scores were associated with higher Ω in the limbic system. These results suggest more coherent brain activity in the DMN and less coherent activity in the Limbic system are associated with better cognitive performance. Our previous findings suggest Ω generally increases as we age, so especially the differential effect in the limbic system warrants further research. Overall Ω shows promise as a descriptor of cognitive states and needs to be further evaluated.
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