静息态 fMRI 估计的脑熵与生理指标、体重指数和认知的关联。
Associations of Brain Entropy Estimated by Resting State fMRI With Physiological Indices, Body Mass Index, and Cognition.
机构信息
Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
出版信息
J Magn Reson Imaging. 2024 May;59(5):1697-1707. doi: 10.1002/jmri.28948. Epub 2023 Aug 14.
BACKGROUND
In recent years, resting-state fMRI (rsfMRI)-based brain entropy (BEN) has gained increasing interest as a tool to characterize brain activity. While previous studies indicate that BEN is correlated with cognition, it remains unclear whether BEN is influenced by other factors that typically affect brain activity measured by fMRI.
PURPOSE
To investigate the relationship between BEN and physiological indices, including respiratory rate (RR), heart rate (HR), systolic blood pressure (s-BP), and body mass index (BMI), and to investigate whether and to what extent the relationship between BEN and cognition is influenced by physiological variables.
STUDY TYPE
Retrospective.
SUBJECTS
One thousand two hundred six healthy subjects (mean age: 28.83 ± 3.69 years; 550 male) with rsfMRI datasets selected from the Human Connectome Project (HCP).
FIELD STRENGTH/SEQUENCE: Multiband echo planar imaging (EPI) sequence at 3.0 Tesla.
ASSESSMENT
Neurocognitive, physical health (RR, HR, s-BP, BMI), and rsfMRI data were retrieved from the HCP datasets. Neurocognition was measured through the total cognition composite (TCC) score provided by HCP. BEN maps were calculated from rsfMRI data.
STATISTICAL TESTS
Multiple regression models, p-family wise error (FWE) < 0.05 and p-FWE < 0.05 were considered statistically significant.
RESULTS
BEN was negatively associated with RR (T-thresholds ranging from 4.75 to 4.8; r-threshold = |0.15|) and positively associated with s-BP and BMI (T-thresholds ranging from 4.75 to 4.8; r-threshold = |0.15|) in areas overlapping with the default mode network. After controlling the physiological effects, BEN still showed regional associations with TCC, including negative associations (T-thresholds = 3.09; r-threshold = |0.1|) in the fronto-parietal cortex and positive associations (T-thresholds = 3.09; r-threshold = |0.1|) in the sensorimotor system (motor network and the limbic system).
DATA CONCLUSIONS
RR negatively affects rsfMRI-derived BEN, while s-BP and BMI positively affect BEN. The positive associations between BEN and cognition in the motor network and the limbic system might indicate a facilitation of information processing in the sensorimotor system.
EVIDENCE LEVEL
3 TECHNICAL EFFICACY: Stage 3.
背景
近年来，基于静息态功能磁共振成像（rsfMRI）的脑熵（BEN）作为一种描述大脑活动的工具，越来越受到关注。尽管先前的研究表明 BEN 与认知有关，但目前尚不清楚 BEN 是否受到其他通常会影响 fMRI 测量的大脑活动的因素的影响。
目的
研究 BEN 与生理指标（包括呼吸率（RR）、心率（HR）、收缩压（s-BP）和体重指数（BMI））之间的关系，并探讨 BEN 与认知之间的关系是否以及在何种程度上受到生理变量的影响。
研究类型
回顾性研究。
受试者
从人类连接组计划（HCP）中选择了 1206 名具有 rsfMRI 数据集的健康受试者（平均年龄：28.83±3.69 岁；550 名男性）。
磁场强度/序列：3.0 特斯拉多频带回波平面成像（EPI）序列。
评估
从 HCP 数据集中检索神经认知、身体健康（RR、HR、s-BP、BMI）和 rsfMRI 数据。神经认知通过 HCP 提供的总认知综合（TCC）评分来衡量。从 rsfMRI 数据中计算 BEN 图。
统计检验
采用多元回归模型，p 家族性错误（FWE）<0.05 和 p-FWE<0.05 被认为具有统计学意义。
结果
BEN 与默认模式网络重叠区域的 RR（T 阈值范围为 4.75 至 4.8；r 阈值=|0.15|）呈负相关，与 s-BP 和 BMI（T 阈值范围为 4.75 至 4.8；r 阈值=|0.15|）呈正相关。在控制生理效应后，BEN 仍与 TCC 存在区域关联，包括额顶叶皮层的负相关（T 阈值=3.09；r 阈值=|0.1|）和感觉运动系统（运动网络和边缘系统）的正相关（T 阈值=3.09；r 阈值=|0.1|）。
数据结论
RR 负向影响 rsfMRI 衍生的 BEN，而 s-BP 和 BMI 正向影响 BEN。BEN 与运动网络和边缘系统认知之间的正相关可能表明感觉运动系统中的信息处理得到了促进。
证据水平
3 级技术功效：3 级。
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