The National Institute on Aging-Alzheimer's Association (NIA-AA) has proposed a biological definition of Alzheimer's disease (AD): individuals with both abnormal amyloid and tau biomarkers (A+T+) would be defined as AD. It remains unclear why different cognitive status is present in subjects with biological AD. Resting-state functional magnetic resonance imaging (rsfMRI) has provided an opportunity to reveal the brain activity patterns in a biologically-defined AD cohort. Accordingly, we aimed to investigate distinct brain activity patterns in subjects with existed AD pathology but in the different cognitive stages.
Method
We selected individuals with AD pathology (A+T+) and healthy controls (HC, A-T-) based on the cerebrospinal fluid (CSF) biomarkers. According to the cognitive stage, we divided the A+T+ cohort into three groups: (1) preclinical AD; (2) prodromal AD; and (3) AD with dementia (d-AD). We compared spontaneous brain activity measured by a fractional amplitude of low-frequency fluctuation (fALFF) approach among four groups.
Results
The analysis of covariance (ANCOVA) results showed significant differences in fALFF in the posterior cingulate cortex/precuneus (PCC/PCu). Further, compared to HC, we found increased fALFF values in the right inferior frontal gyrus (IFG) in the preclinical AD stage, whereas prodromal AD patients showed reduced fALFF in the bilateral precuneus, right middle frontal gyrus (MFG), right precentral gyrus, and postcentral gyrus. Within the d-AD group, both hyperactivity (right fusiform gyrus, right parahippocampal gyrus (PHG)/hippocampus, and inferior temporal gyrus) and hypoactivity (bilateral precuneus, left posterior cingulate cortex, left cuneus and superior occipital gyrus) were detected.
Conclusion
We found the distinct brain activity patterns in different cognitive stages among the subjects defined as AD biologically. Our findings may be helpful in understanding mechanisms leading to cognitive changes in the AD pathophysiological process.
PMID 32009939 32009939 DOI 10.3389/fnagi.2019.00350 10.3389/fnagi.2019.00350
Cite this article
Zeng, Q., Luo, X., Li, K., Wang, S., Zhang, R., Hong, H., Huang, P., Jiaerken, Y., Xu, X., Xu, J., Wang, C., Zhou, J., & Zhang, M. (2019). Distinct Spontaneous Brain Activity Patterns in Different Biologically-Defined Alzheimer's Disease Cognitive Stage: A Preliminary Study. *Frontiers in aging neuroscience*, *11*, 350. https://doi.org/10.3389/fnagi.2019.00350
Zeng Q, Luo X, Li K, Wang S, Zhang R, Hong H, et al. Distinct Spontaneous Brain Activity Patterns in Different Biologically-Defined Alzheimer's Disease Cognitive Stage: A Preliminary Study. Front Aging Neurosci. 2019;11:350. doi:10.3389/fnagi.2019.00350
Zeng, Q., et al. "Distinct Spontaneous Brain Activity Patterns in Different Biologically-Defined Alzheimer's Disease Cognitive Stage: A Preliminary Study." *Frontiers in aging neuroscience*, vol. 11, 2019, pp. 350.
Regular welfare assessments are essential for identifying and addressing the physical, behavioral, and emotional needs of shelter dogs, thereby ensuring their well-being and improving chances for adop...
GBD 2021 AEMT Collaborators, 2026The Korean journal of internal medicine
BACKGROUND/AIMS: This study aims to evaluate the global burden of adverse effects of medical treatment (AEMT) using data from the Global Burden of Disease Study (GBD) 2021.
METHODS: Data were extract...
GBD 2023 Disease and Injury and Risk Factor Collaborators, 2025Lancet (London, England)
BACKGROUND: For more than three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has provided a framework to quantify health loss due to diseases, injuries, and associate...
GBD 2023 Causes of Death Collaborators, 2025Lancet (London, England)
BACKGROUND: Timely and comprehensive analyses of causes of death stratified by age, sex, and location are essential for shaping effective health policies aimed at reducing global mortality. The Global...