Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China.
Department of Nursing, Gansu Provincial Hospital, Lanzhou, Gansu Province, China.
J Magn Reson Imaging. 2024 Jun;59(6):2124-2136. doi: 10.1002/jmri.28985. Epub 2023 Sep 20.
Burnout has become a serious public health issue worldwide, particularly during the COVID-19 pandemic. Functional connectome impairments associated with occupational burnout were widely distributed, involving both low-level sensorimotor cortices and high-level association cortices.
To investigate whether there are hierarchical perturbations in the functional connectomes and if these perturbations are potentially influenced by genetic factors in nurses who feel "burned out."
Prospective, case control.
Thirty-three female nurses with occupational burnout (aged 27-40, 32.42 ± 3.37) and 32 matched nurses who were not feeling burned out (aged 27-42, 32.50 ± 4.21).
FIELD STRENGTH/SEQUENCE: 3.0 T, gradient-echo echo-planar imaging sequence (GE-EPI).
Gradient-based techniques were used to depict the perturbations in the multi-dimensional hierarchical structure of the macroscale connectome. Gene expression data were acquired from the Allen Human Brain Atlas.
Cortex-wide multivariate analyses were used for between-group differences in gradients as well as association analyses between the hierarchy distortions and the MBI score (FDR corrected). Partial least squares, spin test and bootstrapping were utilized together to select the gene sets (FDR corrected). Gene enrichment analyses (GO, KEGG and cell-type) were further performed. Significance level: P < 0.05.
There were significant gradient distortions, with strong between-group effects in the somatosensory network and moderate effects in the higher-order default-mode network, which were significantly correlated with the gene expression profiles (r = 0.3171). The most related genes were broadly involved in the cellular response to minerals, neuronal plasticity, and the circadian rhythm pathway (q value < 0.01). Significant enrichments were found in excitatory (r = 0.2588), inhibitory neurons (r = 0.2610), and astrocytes cells (r = 0.2633). Regions affected by burnout severity were mainly distributed in the association and visual cortices.
By connecting in vivo imaging to genes, cell classes, and clinical data, this study provides a framework to understand functional impairments in occupational burnout and how the microscopic genetic architecture drive macroscopic distortions.
1 TECHNICAL EFFICACY: Stage 2.
burnout（职业倦怠）已成为全球严重的公共卫生问题，尤其是在 COVID-19 大流行期间。与职业倦怠相关的功能连接组损伤广泛分布，涉及低水平感觉运动皮层和高水平联合皮层。
探讨在感到“倦怠”的护士中，功能连接组是否存在层次扰动，如果存在，这些扰动是否可能受到遗传因素的影响。
前瞻性病例对照研究。
33 名有职业倦怠的女性护士（年龄 27-40 岁，32.42 ± 3.37 岁）和 32 名无倦怠感的匹配护士（年龄 27-42 岁，32.50 ± 4.21 岁）。
磁场强度/序列： 3.0T，梯度回波回波平面成像序列（GE-EPI）。
基于梯度的技术用于描绘宏观连接组多维层次结构中的扰动。从 Allen 人类大脑图谱中获取基因表达数据。
用于组间梯度差异的皮质广泛多变量分析以及与 MBI 评分的关联分析（FDR 校正）。偏最小二乘法、自旋检验和引导用于共同选择基因集（FDR 校正）。进一步进行基因富集分析（GO、KEGG 和细胞类型）。显著性水平： P < 0.05。
存在显著的梯度扭曲，感觉网络中存在强烈的组间效应，高级默认模式网络中存在中度效应，与基因表达谱显著相关（r = 0.3171）。最相关的基因广泛涉及对矿物质的细胞反应、神经元可塑性和昼夜节律途径（q 值 < 0.01）。在兴奋性（r = 0.2588）、抑制性神经元（r = 0.2610）和星形胶质细胞（r = 0.2633）中发现了显著的富集。受倦怠严重程度影响的区域主要分布在联合和视觉皮层。
通过将体内成像与基因、细胞类型和临床数据联系起来，本研究提供了一个框架，以了解职业倦怠中的功能障碍以及微观遗传结构如何导致宏观扭曲。
1 技术功效： 2 期。
