Investigation of metabolic brain network changes due to normal aging with 18F-FDG PET/MR

The objective of this study was to investigate the brain metabolic pattern for normal aging using 18F-fluorodeoxyglucose (FDG) combined positron emission tomography and magnetic resonance imaging (PET/MRI). Methods: Resting-state brain FDG PET imaging was performed in a cohort of 200 gender-matched healthy subjects across a wide age range from 20 to 70 years old. All subjects had given their informed consent and were screened clinically to exclude organic brain disease. SVD-based PCA was used to identify the aging-related metabolic brain patterns for the subjects [2]. The expression scores of principal components (PCs) were evaluated on each subject and its correlation with age was also calculated. In addition, all the subjects were divided into 5 age-groups (20-29, 30-39, 40-49, 50-59 and ≥60), the average expression scores were assessed for each age-group. Results: The first two PCs accounted for 61.2% of the variance, with PC1 and PC2 accounting for 43.7% and 17.4%, respectively, and were selected for further analysis. Other components had low variance and were not physiologically meaningful. PC1 was characterized by a relative decrease in the calcarine, cingulum, postcentral cortex, angular cortex, putamen, temporal cortex, insula, precuneus, and fusiform, which was topographically similar to the default mode network (DMN) as revealed by fMRI [3]. The PC1 expression scores did not show correlation with age (r = 0.135, P = 0.0912). The PC2 had the highest positive loadi...
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Neurology & amp; Psychiatry (Poster Session) Source Type: research

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In this study, we investigated the link between AF and senescence markers through the assessment of protein expression in the tissue lysates of human appendages from patients in AF, including paroxysmal (PAF) or permanent AF (PmAF), and in sinus rhythm (SR). The major findings of the study indicated that the progression of AF is strongly related to the human atrial senescence burden as determined by p53 and p16 expression. The stepwise increase of senescence (p53, p16), prothrombotic (TF), and proremodeling (MMP-9) markers observed in the right atrial appendages of patients in SR, PAF, and PmAF points toward multiple inter...
Source: Fight Aging! - Category: Research Authors: Tags: Newsletters Source Type: blogs
Objective : The process of diagnosing many neurodegenerative diseases, such as Parkinson ’s and progressive supranuclear palsy, involves the study of brain magnetic resonance imaging (MRI) scans in order to identify and locate morphological markers that can highlight the health status of the subject. A fundamental step in the pre-processing and analysis of MRI scans is the identification of the mid-sagittal plane, which corresponds to the mid-brain and allows a coordinate reference system for the whole MRI scan set. Approach : To improve the identification of the mid-sagittal plane we have developed an algorith...
Source: Physiological Measurement - Category: Physiology Authors: Source Type: research
Fight Aging! publishes news and commentary relevant to the goal of ending all age-related disease, to be achieved by bringing the mechanisms of aging under the control of modern medicine. This weekly newsletter is sent to thousands of interested subscribers. To subscribe or unsubscribe from the newsletter, please visit: https://www.fightaging.org/newsletter/ Longevity Industry Consulting Services Reason, the founder of Fight Aging! and Repair Biotechnologies, offers strategic consulting services to investors, entrepreneurs, and others interested in the longevity industry and its complexities. To find out m...
Source: Fight Aging! - Category: Research Authors: Tags: Newsletters Source Type: blogs
Publication date: Available online 1 November 2019Source: NeuroscienceAuthor(s): Hala El Khoury, John Mitrofanis, Luke A HendersonAbstractWe explore whether near infrared light can change patterns of resting (task-negative) and/or evoked (task-positive; eg finger-tapping) brain activity in normal, young human subjects using fMRI (functional magnetic resonance imaging). To this end, we used a vielight transcranial device (810nm) and compared the scans in subjects after active- and sham-light sessions. Our fMRI results showed that, while light had no effect on cerebral blood flow and global resting state brain activity (task...
Source: Neuroscience - Category: Neuroscience 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
Conclusion Taken together, evidence from animal and human studies demonstrates that the brain detects levels of circulating nutrients and hormones and consequently organizes an outward response that contributes to the regulation of whole-body glucose homeostasis. However, there are major knowledge gaps about the exact nature of this response and its relative importance compared to peripheral processes. As we have seen, animal studies have provided an anatomical map of CNS glucose regulation and have identified important neurons and neural circuits involved. Additionally, the CNS sensing of key nutrients and hormones has b...
Source: Frontiers in Physiology - Category: Physiology Source Type: research
Beta Amyloid Deposition Is Not Associated With Cognitive Impairment in Parkinson's Disease Tracy R. Melzer1,2,3†, Megan R. Stark1,2†, Ross J. Keenan1,4, Daniel J. Myall1, Michael R. MacAskill1,2, Toni L. Pitcher1,2,3, Leslie Livingston1,2, Sophie Grenfell1, Kyla-Louise Horne1,2, Bob N. Young1, Maddie J. Pascoe1, Mustafa M. Almuqbel1,2,4, Jian Wang5, Steven H. Marsh6, David H. Miller1,2,7, John C. Dalrymple-Alford1,2,3,8 and Tim J. Anderson1,2,3,9* 1New Zealand Brain Research Institute, Christchurch, New Zealand 2Department of Medicine, University of Otago, Christchurch, New Zealand 3Brain Rese...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
Grand Total EEG Score Can Differentiate Parkinson's Disease From Parkinson-Related Disorders Ela Austria Barcelon1,2*, Takahiko Mukaino1, Jun Yokoyama1, Taira Uehara2, Katsuya Ogata2, Jun-ichi Kira1 and Shozo Tobimatsu2 1Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan2Department of Clinical Neurophysiology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan Background: Semi-quantitative electroencephalogram (EEG) analysis is easy to perform and has been used to differentiate dementias, as well ...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
Wei Li1†, Wei-Min Xiao1†, Yang-Kun Chen1*, Jian-Feng Qu1, Yong-Lin Liu1, Xue-Wen Fang2, Han-Yu Weng1 and Gen-Pei Luo11Department of Neurology, Dongguan People’s Hospital, Dongguan, China2Department of Radiology, Dongguan People’s Hospital, Dongguan, ChinaBackground: Anxiety is prevalent after a stroke. The pathophysiological mechanisms underlying the development of poststroke anxiety (PSA) remain unclear. The aim of this study was to investigate the clinical and neuroimaging risk factors for development of PSA and examine the effects of PSA on activities of daily living (ADL) and quality of life (...
Source: Frontiers in Psychiatry - Category: Psychiatry Source Type: research
Ivy D. Deng1, Luke Chung2, Natasha Talwar3,4, Fred Tam1, Nathan W. Churchill3, Tom A. Schweizer3,4,5,6† and Simon J. Graham1,2*† 1Physical Sciences Platform, Sunnybrook Research Institute (SRI), Toronto, ON, Canada 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada 3Neuroscience Research Program, Keenan Research Centre for Biomedical Science, Toronto, ON, Canada 4Institute of Medical Science, University of Toronto, Toronto, ON, Canada 5Division of Neurosurgery, St. Michael’s Hospital, Toronto, ON, Canada 6Institute of Biomaterials and Biomedical Engineering, Univer...
Source: Frontiers in Human Neuroscience - Category: Neuroscience Source Type: research
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