Medical News Today: Alzheimer's: Artificial intelligence predicts onset

A deep learning algorithm trained to analyze brain scans accurately predicted who would develop Alzheimer's more than 6 years before diagnosis.
Source: Health News from Medical News Today - Category: Consumer Health News Tags: Alzheimer's / Dementia Source Type: news

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Abstract Mild cognitive impairment (MCI) represents a transitional stage between healthy aging and dementia, and affects 10-15% of the population over the age of 65. The failure of drug trials in Alzheimer's disease (AD) treatment has shifted researchers' focus toward delaying progression from MCI to dementia, which would reduce the prevalence and costs of dementia profoundly. Diagnostic criteria for MCI increasingly emphasize the need for positive biomarkers to detect preclinical AD. The phenomenology of MCI comprises lower quality-of-life, greater symptoms of depression, and avoidant coping strategies including ...
Source: CNS Spectrums - Category: Neurology Authors: Tags: CNS Spectr Source Type: research
AbstractPurposeWe investigated the regional distribution of18F-THK5351 uptake in gray (GM) and white matter (WM) in patients with behavioral-variant frontotemporal dementia (bvFTD) and compared it with that in patients with Alzheimer ’s disease (AD) or semantic dementia (SD).Methods18F-THK-5351 positron emission tomography (PET),18F-florbetaben PET, magnetic resonance imaging, and neuropsychological testing were performed in 103 subjects including 30, 24, 9, and 8 patients with mild cognitive impairment, AD, bvFTD, and SD, respectively, and 32 normal subjects. Standardized uptake value ratios (SUVRs) of18F-THK-5351 P...
Source: European Journal of Nuclear Medicine and Molecular Imaging - Category: Nuclear Medicine Source Type: research
DISCUSSION: Optimized tau PET classifiers may diagnose AD with high accuracy, but both tau PET and structural brain MRI capture partly unique information relevant for the clinical deterioration in AD. PMID: 30639421 [PubMed - as supplied by publisher]
Source: The Journal of Alzheimers Association - Category: Psychiatry Tags: Alzheimers Dement Source Type: research
By Sandee LaMotte, CNN (CNN) — Here’s another reason why getting a good night’s sleep should be on your must-do list: Sleeping fewer than six hours a night or waking frequently raises your risk of developing damaging plaque in arteries throughout your body, not just your heart. Previous research has shown poor sleep to be strongly associated with coronary heart disease, but “This is the first study to show that objectively measured sleep is independently associated with atherosclerosis throughout the body,” José Ordovás, director of nutrition and genomics at the Jean Mayer USDA H...
Source: WBZ-TV - Breaking News, Weather and Sports for Boston, Worcester and New Hampshire - Category: Consumer Health News Authors: Tags: Boston News Health CNN Heart Disease Sleep Tufts University Source Type: news
Publication date: 2019Source: International Review of Neurobiology, Volume 144Author(s): Oliver Cousins, Tayyabah Yousaf, Heather Wilson, Gennaro Pagano, Marios PolitisAbstractDementia with Lewy bodies (DLB) is the second most common cause of neurodegenerative dementia. The core clinical features of DLB include fluctuating cognition, visual hallucinations, rapid eye movement sleep behavior disorder, and parkinsonism. Molecular imaging is a powerful tool to assess the brain function in vivo. In this chapter, we reviewed the positron emission tomography, single-photon emission computed tomography, and [123I]-metaiodobenzylgu...
Source: International Review of Neurobiology - Category: Neuroscience Source Type: research
Abstract Several prospective cohort studies have reported an association between higher levels of physical activity and decreased risk of cognitive decline and dementia, years later. To support physical activity as a preventative measure against dementia, including Alzheimer's disease (AD; the most common form of dementia), evidence regarding the underlying mechanisms is vital. Here, we review previous work examining the role of physical activity in modulating levels of AD pathological hallmarks, beta-amyloid (Aβ) and tau (in the brain, cerebrospinal fluid and blood). Robust evidence from transgenic animal st...
Source: Ageing Research Reviews - Category: Genetics & Stem Cells Authors: Tags: Ageing Res Rev Source Type: research
Conclusion: 18F-MK-6240 is a promising PET radioligand for in vivo imaging of neurofibrillary tau aggregates in AD with minimal off-target binding in the human brain.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Clinical Source Type: research
Conclusion: 18F-MK-6240 exhibited favorable kinetics and high binding levels to brain regions with a plausible pattern for NFT deposition in AD subjects. In comparison, negligible tracer binding was observed in HE subjects. This pilot study suggests that simplified ratio methods such as SUVR can be used to quantify NFT binding. These results support further clinical development of 18F-MK-6240 for potential application in longitudinal studies.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Clinical Source Type: research
CONCLUSIONS: Our findings support the association of increased neuroinflammation during the progression of MCI and AD, relative to HCs. PMID: 30610927 [PubMed - as supplied by publisher]
Source: Ageing Research Reviews - Category: Genetics & Stem Cells Authors: Tags: Ageing Res Rev Source Type: research
Publication date: Available online 29 December 2018Source: NeurocomputingAuthor(s): Hongfei Wang, Yanyan Shen, Shuqiang Wang, Tengfei Xiao, Liming Deng, Xiangyu Wang, Xinyan ZhaoAbstractAutomatic diagnosis of Alzheimers disease (AD) and mild cognition impairment (MCI) from 3D brain magnetic resonance (MR) images plays an important role in early treatment of dementia disease. Deep learning architectures can extract potential features of dementia disease and capture brain anatomical changes from MRI scans. This paper proposes an ensemble of 3D densely connected convolutional networks (3D-DenseNets) for AD and MCI diagnosis. ...
Source: Neurocomputing - Category: Neuroscience Source Type: research
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