Sobczak Anna Maria, Bohaterewicz Bartosz, Ceglarek Anna, Zyrkowska Aleksandra, Fafrowicz Magdalena, Slowik Agnieszka, Wnuk Marcin, Marona Monika, Nowak Klaudia, Zur-Wyrozumska Kamila, Marek Tadeusz
Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Kraków, Poland.
Department of Psychology of Individual Differences, Psychological Diagnosis, and Psychometrics, Institute of Psychology, University of Social Sciences and Humanities, Warsaw, Poland.
Front Hum Neurosci. 2022 May 10;16:852981. doi: 10.3389/fnhum.2022.852981. eCollection 2022.
Fatigue is one of the most common symptoms of multiple sclerosis (MS), significantly affecting the functioning of the patients. However, the neural underpinnings of physical and mental fatigue in MS are still vague. The aim of our study was to investigate the functional architecture of resting-state networks associated with fatigue in patients with MS.
The sum of 107 high-functioning patients underwent a resting-state scanning session and filled out the 9-item Fatigue Severity Scale (FSS). Based on the FSS score, we identified patients with different levels of fatigue using the cluster analysis. The low-fatigue group consisted of = 53 subjects, while the high-fatigue group = 48. The neuroimaging data were analyzed in terms of functional connectivity (FC) between various resting-state networks as well as amplitude of low-frequency fluctuation (ALFF) and fractional amplitude of low-frequency fluctuations (fALFF).
Two-sample -test revealed between-group differences in FC of posterior salience network (SN). No differences occurred in default mode network (DMN) and sensorimotor network (SMN). Moreover, differences in fALFF were shown in the right middle frontal gyrus and right superior frontal gyrus, however, no ALFF differences took place.
Current study revealed significant functional network (FN) architecture between-group differences associated with fatigue. Present results suggest the higher level of fatigue is related to deficits in awareness as well as higher interoceptive awareness and nociception.
疲劳是多发性硬化症（MS）最常见的症状之一，严重影响患者的功能。然而，MS中身体和精神疲劳的神经基础仍不明确。我们研究的目的是调查MS患者中与疲劳相关的静息态网络的功能结构。
107名高功能患者进行了静息态扫描，并填写了9项疲劳严重程度量表（FSS）。根据FSS评分，我们使用聚类分析确定了不同疲劳水平的患者。低疲劳组由53名受试者组成，而高疲劳组由48名受试者组成。对神经影像数据进行了各种静息态网络之间的功能连接（FC）以及低频波动幅度（ALFF）和低频波动分数幅度（fALFF）的分析。
双样本t检验显示后扣带网络（SN）的FC存在组间差异。默认模式网络（DMN）和感觉运动网络（SMN）没有差异。此外，右侧额中回和右侧额上回的fALFF存在差异，但ALFF没有差异。
当前研究揭示了与疲劳相关的组间显著的功能网络（FN）结构差异。目前的结果表明，较高水平的疲劳与意识缺陷以及更高的内感受意识和伤害感受有关。
