Dietetics Program and Center for Healthy Aging and Wellness (H-Care), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia.
Diagnostic Imaging and Radiotherapy Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
J Magn Reson Imaging. 2020 Apr;51(4):1142-1153. doi: 10.1002/jmri.26891. Epub 2019 Aug 6.
Working memory and cognitive flexibility are supported by the dorsolateral prefrontal cortex (DLPFC). Aging adults from low-income households are individuals with a high risk of cognitive decline who incorporate ulam in their daily diet.
To examine relationship between ulam consumption and the working memory and cognitive flexibility among aging adults from low-income households who are more susceptible to cognitive decline.
Cross-sectional.
POPULATION/SUBJECTS: Thirty-two aging adults (45-75 years old).
FIELD STRENGTH/SEQUENCE: Task-based fMRI, 3.0T, T -weighted anatomical images, T *-weighted imaging data.
The dietary and ulam consumption were assessed using the respective validated Dietary History and semiquantitative Food Frequency questionnaires. Working memory and cognitive flexibility were evaluated by using neuropsychological batteries (ie, mini-mental state examination [MMSE], Digit Span, and Rey auditory verbal learning test [RAVLT]) and task-based fMRI (N-back and Stroop Color Word Test [SCWT]). Brodmann's areas 9 and 46 were the regions of interest (ROIs) of DLPFC activation.
Multiple linear regression used to understand the relationship between ulam consumption and the working memory and cognitive flexibility, while analysis of covariance (ANCOVA) was used to compare the difference of working memory and cognitive flexibility among four percentiles of ulam consumption, after age, gender, and education years adjustments. Significance was decided by two-sided, P < 0.0042 and P < 0.05.
The multiple linear regression revealed that ulam consumption was positively associated with the Digit Span (R = 0.51, β = 0.702, P < 0.001), right DLPFC activation (1-back) (R = 0.34, β = 0.591, P = 0.001), left DLPFC activation (SCWT-1) (R = 0.33, β = 0.553, P = 0.002), and left DLPFC activation (SCWT-2) (R = 0.34, β = 0.497, P = 0.004). The ulam consumption at the 75 and 100 percentile from the ANCOVA analysis had shown a better working memory and cognitive flexibility as compared with those of the 25 and 50 percentiles (P < 0.05).
This study found that high ulam consumption was related to a high intensity of brain activation in DLPFC; however, the elucidation of the neuroprotective properties of ulam have yet to be established from clinical trial studies.
2 Technical Efficacy: Stage 4 J. Magn. Reson. Imaging 2020;51:1142-1153.
工作记忆和认知灵活性由背外侧前额叶皮层(DLPFC)支持。来自低收入家庭的老年成年人是认知能力下降风险较高的人群,他们的日常饮食中会摄入蕈类。
研究蕈类摄入与认知能力下降风险较高的来自低收入家庭的老年成年人的工作记忆和认知灵活性之间的关系。
横断面研究。
人群/受试者:32 名老年人(45-75 岁)。
场强/序列:基于任务的 fMRI,3.0T,T1 加权解剖图像,T *加权成像数据。
通过各自的验证后的饮食史和半定量食物频率问卷评估饮食和蕈类的摄入量。使用神经心理学测试(即迷你精神状态检查[MMSE]、数字跨度和 Rey 听觉言语学习测试[RAVLT])和基于任务的 fMRI(N-back 和 Stroop 颜色词测试[SCWT])评估工作记忆和认知灵活性。Broca 区 9 和 46 是背外侧前额叶皮层激活的感兴趣区域(ROI)。
多元线性回归用于理解蕈类摄入与工作记忆和认知灵活性之间的关系,而协方差分析(ANCOVA)用于比较蕈类摄入量的四个百分位数之间工作记忆和认知灵活性的差异,在年龄、性别和教育年限调整后。显著性由双侧决定,P<0.0042 和 P<0.05。
多元线性回归显示,蕈类摄入量与数字跨度(R=0.51,β=0.702,P<0.001)、右侧背外侧前额叶皮层激活(1 回)(R=0.34,β=0.591,P=0.001)、左侧背外侧前额叶皮层激活(SCWT-1)(R=0.33,β=0.553,P=0.002)和左侧背外侧前额叶皮层激活(SCWT-2)(R=0.34,β=0.497,P=0.004)呈正相关。ANCOVA 分析蕈类摄入量的 75 和 100 百分位显示,与 25 和 50 百分位相比,工作记忆和认知灵活性更好(P<0.05)。
本研究发现,蕈类摄入量与 DLPFC 脑区激活强度呈正相关;然而,蕈类的神经保护特性仍需通过临床试验研究来阐明。
2 级技术功效:第 4 阶段 J. 磁共振成像 2020;51:1142-1153。