IC-101-02: Role of magnetization transfer imaging in early diagnosis of Alzheimer's disease

2006 ◽  
Vol 2 ◽  
pp. S648-S649
Author(s):  
Noor Jehan Kabani ◽  
Adrienne Dorr ◽  
John G. Sled ◽  
Howard Chertkow
2006 ◽  
Vol 2 ◽  
pp. S345-S345
Author(s):  
Noor Jehan Kabani ◽  
Adrienne Dorr ◽  
John G. Sled ◽  
Howard Chertkow

2000 ◽  
Vol 21 ◽  
pp. 96
Author(s):  
Massimo Franceschi ◽  
Marta Zuffi ◽  
Marco Bozzali ◽  
Mara Cercignani ◽  
Giuseppe Magnani ◽  
...  

2018 ◽  
Vol 50 ◽  
pp. 26-37 ◽  
Author(s):  
Heather T. Whittaker ◽  
Shenghua Zhu ◽  
Domenico L. Di Curzio ◽  
Richard Buist ◽  
Xin-Min Li ◽  
...  

2020 ◽  
Vol 15 (4) ◽  
pp. 231-238
Author(s):  
Natalia Gavrilova ◽  
◽  
Nikita Gladyshev ◽  
Anna Kotrova ◽  
Anastasiia Morozova ◽  
...  

Dementia and, in particular, Alzheimer’s disease (AD), affects millions of people around the world and its prevalence is steadily rising annually. Some risk factors for AD, such as age, cannot be modified, while others could possibly be corrected. In recent years, many studies are tackling the problem of the oral and gut microbiota as a provoking factor for AD and other neurodegenerative diseases, but their relationship and specific pathophysiological mechanisms remain understudied. The microbiota of the oral cavity can be of particular importance due to the specificity of microorganisms and their localization, as well as the possibility of provoking neuroinflammation, which requires further study. This review covers the specific features of the oral microbiota, current views on the pathophysiological role of the oral microbiota in the development of AD, as well as the beneficial role of probiotics. The study of this issue can have an important practical application both for the early diagnosis of AD, and for its further treatment.


Author(s):  
Rohit Kumar Verma ◽  
Manisha Pandey ◽  
Pooja Chawla ◽  
Hira Choudhury ◽  
Jayashree Mayuren ◽  
...  

Background: The complication of Alzheimer’s disease (AD) has made the development of its therapeutic a challenging task. Even after decades of research, we have achieved no more than a few years of symptomatic relief. The inability to diagnose the disease early is the foremost hurdle behind its treatment. Several studies have aimed to identify potential biomarkers that can be detected in body fluids (CSF, blood, urine, etc) or assessed by neuroimaging (i.e., PET and MRI). However, the clinical implementation of these biomarkers is incomplete as they cannot be validated. Method: To overcome the limitation, the use of artificial intelligence along with technical tools has been extensively investigated for AD diagnosis. For developing a promising artificial intelligence strategy that can diagnose AD early, it is critical to supervise neuropsychological outcomes and imaging-based readouts with a proper clinical review. Conclusion: Profound knowledge, a large data pool, and detailed investigations are required for the successful implementation of this tool. This review will enlighten various aspects of early diagnosis of AD using artificial intelligence.


2002 ◽  
Vol 52 (1) ◽  
pp. 62-67 ◽  
Author(s):  
Wiesje M. Van Der Flier ◽  
Dominique M. J. Van Den Heuvel ◽  
Annelies W. E. Weverling-Rijnsburger ◽  
Eduard L. E. M. Bollen ◽  
Rudi G. J. Westendorp ◽  
...  

2001 ◽  
Vol 188 (1-2) ◽  
pp. 79-84 ◽  
Author(s):  
Haruo Hanyu ◽  
Tetsuichi Asano ◽  
Hirofumi Sakurai ◽  
Masaru Takasaki ◽  
Hiroaki Shindo ◽  
...  

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