Li Ting, Liao Zhengluan, Mao Yanping, Hu Jiaojiao, Le Dansheng, Pei Yangliu, Sun Wangdi, Lin Jixin, Qiu Yaju, Zhu Junpeng, Chen Yan, Qi Chang, Ye Xiangming, Su Heng, Yu Enyan
Zhejiang Provincial People's Hospital, Qingdao University, Qingdao, China.
Department of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou, China.
Ann Transl Med. 2021 Jan;9(1):63. doi: 10.21037/atm-20-7214.
Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by memory impairment. Previous studies have largely focused on alterations of static brain activity occurring in patients with AD. Few studies to date have explored the characteristics of dynamic brain activity in cognitive impairment, and their predictive ability in AD patients.
One hundred and eleven AD patients, 29 MCI patients, and 73 healthy controls (HC) were recruited. The dynamic amplitude of low-frequency fluctuation (dALFF) and the dynamic fraction amplitude of low-frequency fluctuation (dfALFF) were used to assess the temporal variability of local brain activity in patients with AD or mild cognitive impairment (MCI). Pearson's correlation coefficients were calculated between the metrics and subjects' behavioral scores.
The results of analysis of variance indicated that the AD, MCI, and HC groups showed significant variability of dALFF in the cerebellar posterior and middle temporal lobes. In AD patients, these brain regions had high dALFF variability. Significant dfALFF variability was found between the three groups in the left calcarine cortex and white matter. The AD group showed lower dfALFF than the MCI group in the left calcarine cortex.
Compared to HC, AD patients were found to have increased dALFF variability in the cerebellar posterior and temporal lobes. This abnormal pattern may diminish the capacity of the cerebellum and temporal lobes to participate in the cerebrocerebellar circuits and default mode network (DMN), which regulate cognition and emotion in AD. The findings above indicate that the analysis of dALFF and dfALFF based on functional magnetic resonance imaging data may give a new insight into the neurophysiological mechanisms of AD.
阿尔茨海默病(AD)是一种以记忆障碍为特征的进行性神经退行性疾病。以往的研究主要集中在AD患者静态脑活动的改变上。迄今为止,很少有研究探讨认知障碍中动态脑活动的特征及其对AD患者的预测能力。
招募了111名AD患者、29名轻度认知障碍(MCI)患者和73名健康对照者(HC)。采用低频波动动态幅度(dALFF)和低频波动动态分数幅度(dfALFF)来评估AD或轻度认知障碍(MCI)患者局部脑活动的时间变异性。计算这些指标与受试者行为评分之间的皮尔逊相关系数。
方差分析结果表明,AD组、MCI组和HC组在小脑后叶和颞中回的dALFF存在显著变异性。在AD患者中,这些脑区的dALFF变异性较高。在左侧距状皮层和白质中,三组之间发现了显著的dfALFF变异性。AD组在左侧距状皮层的dfALFF低于MCI组。
与HC相比,AD患者在小脑后叶和颞叶的dALFF变异性增加。这种异常模式可能会削弱小脑和颞叶参与调节AD患者认知和情绪的脑-小脑回路及默认模式网络(DMN)的能力。上述研究结果表明,基于功能磁共振成像数据的dALFF和dfALFF分析可能为AD的神经生理机制提供新的见解。