Article
Medicine, General & Internal
Yu-Kai Lin, Chih-Sung Liang, Chia-Kuang Tsai, Chia-Lin Tsai, Jiunn-Tay Lee, Yueh-Feng Sung, Chung-Hsing Chou, Hung-Sheng Shang, Bing-Heng Yang, Guan-Yu Lin, Ming-Wei Su, Fu-Chi Yang
Summary: This study assessed the potential of 36 trace elements in predicting cognitive decline in patients with amnestic mild cognitive impairment (aMCI) or Alzheimer's disease (AD). The study found that disease severity was linked to lower plasma levels of certain trace elements, and baseline levels of certain trace elements were associated with the rate of cognitive decline.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Neurosciences
Xiaotong Wei, Xiaotong Du, Yingying Xie, Xinjun Suo, Xiaoxi He, Hao Ding, Yu Zhang, Yi Ji, Chao Chai, Meng Liang, Chunshui Yu, Yong Liu, Wen Qin
Summary: By mapping the region-specific nonlinear atrophic trajectory of the whole cerebrum from amnestic mild cognitive impairment (aMCI) to Alzheimer's disease (AD), this study found that the atrophic trajectory is quadratic accelerated, especially in the superior temporal pole, caudate, and hippocampus. Furthermore, the study revealed that APOE ε4 carriers and younger patients had faster atrophic rates in specific regions. Lastly, the identified region-specific biomarkers were able to predict AD conversion within 10 years.
Article
Clinical Neurology
Hatice Eraslan Boz, Koray Kocoglu, Muege Akkoyun, Isil Yagmur Tufekci, Merve Ekin, Guelden Akdal
Summary: The study found that visual search impairment exists in early stages of both AD and aMCI, highlighting the importance of addressing visual processes in the Alzheimer's continuum.
ALZHEIMERS & DEMENTIA
(2023)
Article
Biochemistry & Molecular Biology
Chieh-Hsin Lin, Hsien-Yuan Lane
Summary: This study longitudinally monitored plasma GSH levels and cognitive function in MCI patients, showing a significant decline over a 2-year period, while these levels remained relatively stable in healthy individuals. Both baseline GSH levels and changes in GSH levels were found to significantly influence cognitive decline in MCI patients, suggesting that blood GSH concentration may be a potential biomarker for monitoring cognitive changes in MCI.
Article
Geriatrics & Gerontology
Eun Jin Yoon, Jun-Young Lee, Seyul Kwak, Yu Kyeong Kim
Summary: Mild behavioral impairment (MBI) is a neurobehavioral syndrome associated with a higher risk of progression to Alzheimer's disease (AD) in individuals with amnestic mild cognitive impairment (MCI). The presence of multiple MBI domains is also associated with cortical thinning in specific brain regions.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Cell Biology
Ying-Ren Chen, Chih-Sung Liang, Hsin Chu, Joachim Voss, Xiao Linda Kang, Grant O'Connell, Hsiu-Ju Jen, Doresses Liu, Shu-Tai Shen Hsiao, Kuei-Ru Chou
Summary: Blood-based biomarkers have shown high diagnostic accuracy for detecting Alzheimer's disease, with plasma A beta 42, A beta oligomer, and plasma tau demonstrating good sensitivity and specificity. However, evidence for detecting amnestic mild cognitive impairment using blood-based biomarkers is still limited. Ultra-high sensitive technology can help explain the heterogeneity in diagnostic performance.
AGEING RESEARCH REVIEWS
(2021)
Article
Neurosciences
Xiaomei Zhong, Ben Chen, Le Hou, Qiang Wang, Meiling Liu, Mingfeng Yang, Min Zhang, Huarong Zhou, Zhangying Wu, Si Zhang, Gaohong Lin, Yuping Ning
Summary: This study aimed to compare temporal variability in the spontaneous fluctuations of activity and connectivity between amnestic MCI (aMCI) and nonamnestic MCI (naMCI). The results showed that both aMCI and naMCI patients exhibited abnormal brain activity and connectivity. The variability in dALFF, dReHo, and hippocampal dFC was different between aMCI and naMCI patients and was associated with cognitive scores. The dReHo of the superior parietal lobule and dFC of the hippocampus-cerebellum contributed to the memory heterogeneity of MCI subtypes.
CNS NEUROSCIENCE & THERAPEUTICS
(2022)
Article
Neurosciences
Haichao Zhao, Jian Cheng, Tao Liu, Jiyang Jiang, Forrest Koch, Perminder S. Sachdev, Peter J. Basser, Wei Wen
Summary: White matter abnormalities, such as orientational changes in specific fiber tracts, were found to be prominent in Alzheimer's disease patients compared to cognitively normal individuals. In contrast, individuals with amnestic mild cognitive impairment showed subtle changes in specific fiber tracts that were associated with cognitive performance. These findings suggest that white matter fiber orientation information could offer valuable insights into the pathology of neurodegenerative diseases like Alzheimer's disease.
HUMAN BRAIN MAPPING
(2021)
Article
Biochemistry & Molecular Biology
Robertina Giacconi, Patrizia D'Aquila, Marta Balietti, Cinzia Giuli, Marco Malavolta, Francesco Piacenza, Laura Costarelli, Demetrio Postacchini, Giuseppe Passarino, Dina Bellizzi, Mauro Provinciali
Summary: Microbial dysbiosis leads to alterations in gut barrier and bacterial translocation, resulting in increased blood bacterial DNA that promotes peripheral and neuro inflammation and contributes to cognitive impairment. It also affects the production of brain-derived neurotrophic factor, which plays a role in the etiopathogenesis of Alzheimer's disease.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Neurosciences
Erin E. Sundermann, Lisa L. Barnes, Mark W. Bondi, David A. Bennett, David P. Salmon, Pauline M. Maki
Summary: This study found that sex-adjusted norms improve diagnostic accuracy for aMCI, avoiding diagnostic errors. The risk of false negative in women and false positive in men is significantly higher than expected.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Clinical Neurology
Dan Li, Yue-Yi Yu, Nan Hu, Min Zhang, Li Liu, Li-Mei Fan, Shi-Shuang Ruan, Fen Wang
Summary: This study compared the reliability and validity of the color-picture version of BNT (CP-BNT) and the black-and-white version of BNT (BW-BNT) in differentiating amnestic mild cognitive impairment (aMCI) or mild Alzheimer's disease (AD) from cognitive normals. The results showed that CP-BNT outperformed BW-BNT in terms of diagnostic accuracy and reliability.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neurosciences
Yirong He, Qiongling Li, Zhenrong Fu, Debin Zeng, Ying Han, Shuyu Li
Summary: Using connectome gradient mapping, we investigated the altered topological organization in amnestic mild cognitive impairment and Alzheimer's disease. Our results showed that Alzheimer's disease patients exhibited a more distributed and significant suppression of the neocortical hierarchy gradient, while this alteration was limited to limbic areas in amnestic mild cognitive impairment patients. Furthermore, we found that gradient dispersion was associated with cognitive scores in both patient groups, providing new evidence for altered brain hierarchy in these conditions.
Article
Geriatrics & Gerontology
Joseph M. Gullett, Alejandro Albizu, Ruogu Fang, David A. Loewenstein, Ranjan Duara, Monica Rosselli, Melissa J. Armstrong, Tatjana Rundek, Hanna K. Hausman, Steven T. Dekosky, Adam J. Woods, Ronald A. Cohen
Summary: This study successfully predicted the conversion to dementia in high-risk aMCI patients based on baseline data using multimodal MRI, and identified brain regions associated with long-term decline to dementia. By combining T1 MRI and rsfMRI modalities and using SVM classification, a high prediction accuracy was achieved.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Neurosciences
Juan F. Martinez-Florez, Juan D. Osorio, Judith C. Cediel, Juan C. Rivas, Ana M. Granados-Sanchez, Jessica Lopez-Pelaez, Tania Jaramillo, Juan F. Cardona
Summary: Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzheimer's disease (AD). The study aimed to compare machine learning architectures for classifying and predicting aMCI, assessing the contribution of cognitive measures such as memory binding function in aMCI distinction and prediction. Results indicated that AdaBoost, gradient boosting, and XGBoost had the highest performance in classifying aMCI, while decision tree and random forest had the highest performance in predictive routines.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Neurosciences
Martin Vyhnalek, Dylan J. Jester, Ross Andel, Hana Horakova, Tomas Nikolai, Jan Laczo, Veronika Matuskova, Katerina Cechova, Katerina Sheardova, Jakub Hort
Summary: This study compared the predictive ability of different memory tests in predicting conversion to dementia in patients with amnestic mild cognitive impairment (aMCI). The results showed that verbal and non-verbal memory tests without cued recall were better predictors of dementia conversion compared to a memory test based on controlled encoding and cued recall.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
