Magnetic resonance imaging texture predicts progression to dementia due to Alzheimer disease earlier than hippocampal volume

Conclusion: Textures of the hippocampus, precuneus and posterior cingulate cortex predicted conversion from MCI to Alzheimer disease at an earlier time point and with higher accuracy than hippocampal volume. PMID: 31228173 [PubMed - as supplied by publisher]
Source: Journal of Psychiatry and Neuroscience - Category: Psychiatry Tags: J Psychiatry Neurosci Source Type: research

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ConclusionsA reduction of the [18F]FDG dose down to 1  MBq/kg is possible when performing 20-min brain PET/MRI without modifying diagnostic performance and quantitative assessments. The advantage is a significant reduction in the patient effective dose, which is non-negligible in longitudinal follow-up studies and in research protocols involving healt hy volunteers.
Source: Molecular Imaging and Biology - Category: Molecular Biology Source Type: research
The field of neurodegenerative dementias, particularly Alzheimer disease (AD), has been limited by challenges in accurate diagnosis, but has recently been potentially revolutionized by the development of imaging and cerebrospinal fluid (CSF) biomarkers. These biomarkers have influenced the diagnostic evaluation of symptomatic patients with cognitive impairment or dementia, particularly in dementia subspecialty practice. The primary biomarker modalities include magnetic resonance imaging (MRI), positron emission tomography (PET), and CSF.
Source: JAMA - Category: General Medicine Source Type: research
Authors: Li H, Habes M, Wolk DA, Fan Y, Alzheimer's Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle Study of Aging Abstract INTRODUCTION: It is challenging at baseline to predict when and which individuals who meet criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease (AD) dementia. METHODS: A deep learning method is developed and validated based on magnetic resonance imaging scans of 2146 subjects (803 for training and 1343 for validation) to predict MCI subjects' progression to AD dementia in a time-to-event analysis setting. RESUL...
Source: The Journal of Alzheimers Association - Category: Psychiatry Tags: Alzheimers Dement Source Type: research
Publication date: Available online 11 June 2019Source: Alzheimer's &DementiaAuthor(s): Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan, Alzheimer's Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle Study of AgingAbstractIntroductionIt is challenging at baseline to predict when and which individuals who meet criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease (AD) dementia.MethodsA deep learning method is developed and validated based on magnetic resonance imaging scans of 2146 subjects (803 for training and 1343 for validation) to predict MC...
Source: Alzheimer's and Dementia: The Journal of the Alzheimer's Association - Category: Geriatrics Source Type: research
Sensors, Vol. 19, Pages 2645: Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans Sensors doi: 10.3390/s19112645 Authors: Maqsood Nazir Khan Aadil Jamal Mehmood Song Alzheimer’s disease effects human brain cells and results in dementia. The gradual deterioration of the brain cells results in disability of performing daily routine tasks. The treatment for this disease is still not mature enough. However, its early diagnosis may allow restraining the spread of disease. For early detection of Alzheimer’s through brain Mag...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research
CONCLUSIONS: Most of the studies included do not allow us to know the impact of physical exercise on cognition and the cerebral structural-functional changes in patients at risk of developing AD or in patients who already have the disease. Without being able to rule out a possible beneficial effect, more studies are needed with a better design and methodological rigor that allows a better known about this association. PMID: 31153668 [PubMed - as supplied by publisher]
Source: Atencion Primaria - Category: Primary Care Authors: Tags: Aten Primaria Source Type: research
In this study, we aimed to study the Tau PET images in these patients. Methods Clinical features, brain magnetic resonance imaging/computed tomography (MRI/CT), and brain 18F-THK-5351 PET were recorded in five patients with the APP p.D678H mutation and correlated with brain 18F-AV-45 PET images. We also compared the tau deposition patterns among five patients with familial mild cognitive impairment (fMCI), six patients with sporadic amnestic mild cognitive impairment (sMCI), nine patients with mild to moderate dementia due to Alzheimer’s disease (AD), and 12 healthy controls (HCs). All of the subjects also recei...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
DiscussionQuantification of 18F-florbetaben positron emission tomography scans using magnetic resonance–based and magnetic resonance–less CapAIBL® approaches showed high agreement, establishing a pathology-based threshold in CL.
Source: Alzheimer's and Dementia: The Journal of the Alzheimer's Association - Category: Geriatrics Source Type: research
Publication date: Available online 5 May 2019Source: International Journal of PsychophysiologyAuthor(s): Benjamin M. Hampstead, Anthony Y. Stringer, Randall F. Stilla, K. SathianAbstractLearning and memory deficits characterize the diagnosis of amnestic mild cognitive impairment (aMCI), which is widely viewed as a clinical precursor to Alzheimer's type dementia. There is a growing interest in non-pharmacologic interventions, such as mnemonic strategies, for improving learning and memory in patients with aMCI as well as for maintaining functioning in healthy older adults. Using an ecologically relevant object-location assoc...
Source: International Journal of Psychophysiology - Category: Psychiatry & Psychology Source Type: research
Conclusions: The use of antidepressants, especially SNRIs, was associated with a shorter survival time of sCJD patients. The possible changes in neurotransmitters should be emphasized. Scientifically, this study may provide insights into the mechanism of CJD. Clinically, it may contribute to the early diagnosis of CJD.IntroductionDepression is common in the elderly. Its prevalence rate is as high as 11.19%, and this increases progressively with worsening cognitive impairment (1). The presence of depression is an acknowledged risk factor for dementia (2); it can even double the risk for Alzheimer’s disease (AD) (3, 4)...
Source: Frontiers in Psychiatry - Category: Psychiatry Source Type: research
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