Analysis of cerebral glucose metabolism following experimental subarachnoid hemorrhage: an [18F]FDG-PET study over 7 days using an MRI-template based analysis tool

2022 ◽  
Author(s):  
Fabian Schadt ◽  
Ina Israel ◽  
Alexandra Beez ◽  
Kastriot Alushi ◽  
Judith Weiland ◽  
...  
Keyword(s):  
Data Analysis ◽  
Glucose Metabolism ◽  
Fdg Pet ◽  
Brain Regions ◽  
Sham Operation ◽  
Analysis Tool ◽  
Imaging Data ◽  
Sprague Dawley ◽  
Data Analysis Tool

Abstract Little is known about changes in brain metabolism following SAH, possibly leading towards secondary brain damage. Despite sustained progress in the last decade, analysis of in vivo acquired data still remains challenging. The present interdisciplinary study uses a semi-automated data analysis tool analyzing imaging data independently from the administrated radiotracer. The uptake of 2-[18F]Fluoro-2-deoxy-glucose ([18F]FDG) was evaluated in different brain regions in 14 male Sprague-Dawley rats, randomized into two groups: (1) SAH induced by the endovascular filament model and (2) sham operated controls. Serial [18F]FDG-PET measurements were performed. Quantitative image analysis was performed by uptake ratio using a self-developed MRI-template based data analysis tool. SAH animals showed significantly higher [18F]FDG accumulation in gray matter, neocortex and olfactory system as compared to animals of the sham group, while white matter and basal forebrain region showed significant reduced tracer accumulation in SAH animals. All significant metabolic changes were visualized from 3 hours, over 24 hours, day 4 and day 7 following SAH/sham operation. This [18F]FDG-PET study provides important insights into glucose metabolism alterations following SAH - for the first time in different brain regions and up to day 7 during course of disease. The present tool improves PET image quantification and provides more flexible data analysis advocating its clinical application.

scholarly journals Development and Validation of a Semi-Automated, Preclinical, MRI-Template Based PET Image Data Analysis Tool for Rodents

2021 ◽  
Vol 15 ◽  
Author(s):  
Fabian Schadt ◽  
Ina Israel ◽  
Samuel Samnick
Keyword(s):  
Electrical Stimulation ◽  
Ischemic Stroke ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Statistical Data ◽  
Image Data ◽  
Data Evaluation ◽  
Analysis Tool ◽  
Data Analysis Tool

AimIn PET imaging, the different types of radiotracers and accumulations, as well as the diversity of disease patterns, make the analysis of molecular imaging data acquired in vivo challenging. Here, we evaluate and validate a semi-automated MRI template-based data analysis tool that allows preclinical PET images to be aligned to a self-created PET template. Based on the user-defined volume-of-interest (VOI), image data can then be evaluated using three different semi-quantitative parameters: normalized activity, standardized uptake value, and uptake ratio.Materials and MethodsThe nuclear medicine Data Processing Analysis tool (NU_DPA) was implemented in Matlab. Testing and validation of the tool was performed using two types of radiotracers in different kinds of stroke-related brain diseases in rat models. The radiotracers used are 2-[18F]fluoro-2-deoxyglucose ([18F]FDG), a metabolic tracer with symmetrical distribution in brain, and [68Ga]Ga-Fucoidan, a target-selective radioligand specifically binding to p-selectin. After manual image import, the NU_DPA tool automatically creates an averaged PET template out of the acquired PET images, to which all PET images are then aligned onto. The added MRI template-based information, resized to the lower PET resolution, defines the VOI and also allows a precise subdivision of the VOI into individual sub-regions. The aligned PET images can then be evaluated semi-quantitatively for all regions defined in the MRI atlas. In addition, a statistical analysis and evaluation of the semi-quantitative parameters can then be performed in the NU_DPA tool.ResultsUsing ischemic stroke data in Wistar rats as an example, the statistical analysis of the tool should be demonstrated. In this [18F]FDG-PET experiment, three different experimental states were compared: healthy control state, ischemic stroke without electrical stimulation, ischemic stroke with electrical stimulation. Thereby, statistical data evaluation using the NU_DPA tool showed that the glucose metabolism in a photothrombotic lesion can be influenced by electrical stimulation.ConclusionOur NU_DPA tool allows a very flexible data evaluation of small animal PET data in vivo including statistical data evaluation. Using the radiotracers [18F]FDG and [68Ga]Ga-Fucoidan, it was shown that the semi-automatic MRI-template based data analysis of the NU_DPA tool is potentially suitable for both metabolic radiotracers as well as target-selective radiotracers.

Atlas-based imaging data analysis tool for quantitative mouse brain histology (AIDAhisto)

2019 ◽  
Vol 326 ◽  
pp. 108394 ◽  
Author(s):  
Niklas Pallast ◽  
Frederique Wieters ◽  
Gereon R. Fink ◽  
Markus Aswendt
Keyword(s):  
Data Analysis ◽  
Mouse Brain ◽  
Analysis Tool ◽  
Imaging Data ◽  
Data Analysis Tool

PENGARUH INOVASI DAN ORIENTASI KEWIRAUSAHAAN TERHADAP KEUNGGULAN BERSAING UMKM KULINER

2019 ◽  
Vol 4 (1) ◽  
pp. 111-118
Author(s):  
Inda Lestari ◽  
Miguna Astuti ◽  
Hariyanto Ridwan
Keyword(s):  
Data Analysis ◽  
Competitive Advantage ◽  
Significant Influence ◽  
Entrepreneurial Orientation ◽  
Sampling Method ◽  
Sampling Technique ◽  
Analysis Tool ◽  
Data Analysis Tool

This research was conducted to analyze the effect of innovation orientation and entrepreneurship on the competitive advantage of culinary MSMEs in the Cilandak Barat area, South Jakarta. The population used for this study was 36 actors in the culinary field of SMEC. The sampling technique uses a saturated sampling method. The data analysis tool used is PLS 3.0. The results of this study indicate that the innovation variable has a significant influence on the culinary competitiveness of SMEC. And, entrepreneurial orientation has a significant influence on the culinary competitiveness of SMEC. The researcher suggests SMECs to pay attention to other factors that can influence competitive advantage. Keywords: Innovation, Entrepreneurship Orientation, Competitive Advantage

scholarly journals Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tun-Wei Hsu ◽  
Jong-Ling Fuh ◽  
Da-Wei Wang ◽  
Li-Fen Chen ◽  
Chia-Jung Chang ◽  
...  
Keyword(s):  
Algebraic Topology ◽  
Fdg Pet ◽  
Persistent Homology ◽  
Network Connectivity ◽  
Brain Regions ◽  
Imaging Data ◽  
Cholinergic Pathways ◽  
Positron Emission ◽  
Metabolic Connectivity ◽  
Neurochemical Changes

AbstractDementia is related to the cellular accumulation of β-amyloid plaques, tau aggregates, or α-synuclein aggregates, or to neurotransmitter deficiencies in the dopaminergic and cholinergic pathways. Cellular and neurochemical changes are both involved in dementia pathology. However, the role of dopaminergic and cholinergic networks in metabolic connectivity at different stages of dementia remains unclear. The altered network organisation of the human brain characteristic of many neuropsychiatric and neurodegenerative disorders can be detected using persistent homology network (PHN) analysis and algebraic topology. We used 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) imaging data to construct dopaminergic and cholinergic metabolism networks, and used PHN analysis to track the evolution of these networks in patients with different stages of dementia. The sums of the network distances revealed significant differences between the network connectivity evident in the Alzheimer’s disease and mild cognitive impairment cohorts. A larger distance between brain regions can indicate poorer efficiency in the integration of information. PHN analysis revealed the structural properties of and changes in the dopaminergic and cholinergic metabolism networks in patients with different stages of dementia at a range of thresholds. This method was thus able to identify dysregulation of dopaminergic and cholinergic networks in the pathology of dementia.

scholarly journals In vivo synaptic density relates to glucose metabolism at rest in healthy subjects, but is strongly modulated by regional differences

2021 ◽  
pp. 0271678X2098150
Author(s):  
June van Aalst ◽  
Jenny Ceccarini ◽  
Stefan Sunaert ◽  
Patrick Dupont ◽  
Michel Koole ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Medial Temporal Lobe ◽  
Regional Differences ◽  
Specific Binding ◽  
Aerobic Glycolysis ◽  
Glucose Consumption ◽  
Brain Regions ◽  
Synaptic Density ◽  
Energy Demands

Preclinical and postmortem studies have suggested that regional synaptic density and glucose consumption (CMRGlc) are strongly related. However, the relation between synaptic density and cerebral glucose metabolism in the human brain has not directly been assessed in vivo. Using [11C]UCB-J binding to synaptic vesicle glycoprotein 2 A (SV2A) as indicator for synaptic density and [18F]FDG for measuring cerebral glucose consumption, we studied twenty healthy female subjects (age 29.6 ± 9.9 yrs) who underwent a single-day dual-tracer protocol (GE Signa PET-MR). Global measures of absolute and relative CMRGlc and specific binding of [11C]UCB-J were indeed highly significantly correlated ( r > 0.47, p < 0.001). However, regional differences in relative [18F]FDG and [11C]UCB-J uptake were observed, with up to 19% higher [11C]UCB-J uptake in the medial temporal lobe (MTL) and up to 17% higher glucose metabolism in frontal and motor-related areas and thalamus. This pattern has a considerable overlap with the brain regions showing different levels of aerobic glycolysis. Regionally varying energy demands of inhibitory and excitatory synapses at rest may also contribute to this difference. Being unaffected by astroglial and/or microglial energy demands, changes in synaptic density in the MTL may therefore be more sensitive to early detection of pathological conditions compared to changes in glucose metabolism.

scholarly journals PENGARUH HARGA MINYAK DUNIA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA (MODERASI VARIABEL MONETER)

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Wilda Novita Sari ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Exchange Rate ◽  
Data Analysis ◽  
Secondary Data ◽  
Oil Prices ◽  
Analysis Tool ◽  
Data Analysis Tool ◽  
The Exchange Rate ◽  
The Relationship

Abstract: The purpose of this research is to be able to determine the effect of world oil prices on economic growth in Indonesia by applying the exchange rate moderating variable and the BI rate as a connecting variable. Descriptive and associative research is a type of research that is used with data collection techniques through a trusted official agency website that is classified in the quarterly time series secondary data. The data year in this study was from 2006 to 2018. Data analysis was carried out through descriptive and inductive analysis with a Moderated Regression Analysis (MRA) data analysis tool accompanied by a classic assumption test and a t test. Estimation results show that there are two research results; firstly, that the exchange rate has an effect on moderating the relationship between world oil prices and economic growth in Indonesia, secondly, that the BI rate has no influence connecting world oil prices and economic growth in Indonesia. Keywords: World oil prices, economic growth, exchange rates, BI rate, Moderated Regression Analysis (MRA).

scholarly journals PENGARUH REMUNERASI DAN MOTIVASI KERJA TERHADAP KINERJA PEGAWAI NEGERI SIPIL (PNS) Studi Pada Kantor Rektorat Universitas Lambung Mangkurat Banjarmasin

2019 ◽  
Vol 6 (3) ◽  
pp. 285
Author(s):  
Muhammad Nawawi ◽  
Ahmad Alim Bachri ◽  
Dahniar ,
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Quantitative Research ◽  
Employee Performance ◽  
Stratified Random Sampling ◽  
Analysis Tool ◽  
Data Analysis Tool ◽  
Spss Software

<p><em>The Purpose of the research to identify and analyze the effect of Remunerasi and Motivasion Work about Performance ol Civil Servants (PNS) simultaneously and partially on the Performance.</em></p><p><em>The method used is quantitative research that is explanatory, with a population of 191 people, technique sampling used is stratified random sampling with a sample of 66 people who serve as respondents, data analysis tool used is multiple linear regression using SPSS software ver.16.0.</em></p><em>The results ofthis studyconcludedthat the remunerationandmotivation to worksimultaneously and partiallypositive effect onperformance.Of the threeindepend- entvariable, the highest percentagewas97,8% remuneration(X1) compared with the twoother variables. This isbecausethatis essentiallyan employeeis unable to performanythingin general, there needs to becompensationimpetusin drivingdirectionoptimal work, compensationandjob satisfactionpolicyimplementationneed tobe included in thetraining sobeberpapositive influenceon employee performance</em>

scholarly journals Pengaruh Persepsi Konsumen, Labelisasi Halal dan Citra Merek Terhadap Keputusan Pembelian Produk Herbal Skincare SR12

2021 ◽  
Vol 5 (2) ◽  
pp. 263-273
Author(s):  
Ade Lia ◽  
Ibdalsyah Ibdalsyah ◽  
Hilman Hakiem
Keyword(s):  
Data Analysis ◽  
Research Method ◽  
Brand Image ◽  
Consumer Perceptions ◽  
Consumer Perception ◽  
Purchase Decision ◽  
Analysis Tool ◽  
Purchasing Decisions ◽  
Independent Variables ◽  
Data Analysis Tool

This study aims to determine the effect of consumer perceptions, halal labeling and brand image on purchasing decisions, while the independent variables are consumer perceptions, halal labeling and brand image. The data in this study were collected through questionnaires distributed to consumers who had purchased and used SR12 herbal skincare products in Bogor. The research method used is quantitative. The population in this study were consumers of SR12 herbal skincare products. With the data collected amounted to 100 respondents. The data analysis tool used in this study used multiple linear regression. The results of this study indicate that the variables of consumer perception, halal labeling and brand image have a positive and significant effect on purchasing decisions for sr12 herbal skincare products. Keywords: Consumer Perception, Halal Labeling, Brand Image and Purchase Decision

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