scholarly journals Effects of amphetamine on the human brain opioid system – a positron emission tomography study

2013 ◽  
Vol 16 (4) ◽  
pp. 763-769 ◽  
Author(s):  
Joar Guterstam ◽  
Nitya Jayaram-Lindström ◽  
Simon Cervenka ◽  
J. James Frost ◽  
Lars Farde ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Human Brain ◽  
Reward System ◽  
Emission Tomography ◽  
Opioid System ◽  
Binding Potential ◽  
Positron Emission ◽  
Brain Reward ◽  
The Brain ◽  
Brain Reward System

Abstract Studies in rodents have shown that psychostimulant drugs such as cocaine and amphetamine cause endorphin release in the brain reward system. There is also evidence for the involvement of the opioid system in human psychostimulant dependence. The acute effects of an i.v. psychostimulant drug on the brain opioid system, however, have not yet been investigated in humans. We hypothesized that an i.v. dose of amphetamine as compared to placebo would cause an opioid release in the human brain reward system, measurable as a reduction of the binding potential of the µ-opioid receptor radioligand [11C]carfentanil. Ten healthy young men were examined using positron emission tomography (PET) and [11C]carfentanil in three sessions: at baseline; after placebo; after an i.v. amphetamine dose of 0.3 mg/kg bodyweight. The order of amphetamine and placebo was double-blinded and randomized. PET examinations were performed with a Siemens high resolution research tomograph. Data were analysed with the simplified reference tissue model, applying manually drawn regions of interest for every subject. Using repeated measures analysis of variance, we found no significant differences in [11C]carfentanil binding potential between amphetamine and placebo conditions in any of the investigated brain regions. In contrast to data from rodent studies and a recent study of oral amphetamine administration in humans, an i.v. dose of amphetamine does not cause any acute opioid release in healthy human subjects. The postulated role of the opioid system in mediating the effects of amphetamine needs to be further investigated in animal models of the disease as well as in patient populations.

scholarly journals Quantitation of Translocator Protein Binding in Human Brain with the Novel Radioligand [18F]-FEPPA and Positron Emission Tomography

2011 ◽  
Vol 31 (8) ◽  
pp. 1807-1816 ◽  
Author(s):  
Pablo M Rusjan ◽  
Alan A Wilson ◽  
Peter M Bloomfield ◽  
Irina Vitcu ◽  
Jeffrey H Meyer ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Human Brain ◽  
Specific Binding ◽  
Compartment Model ◽  
Distribution Volume ◽  
Translocator Protein ◽  
Emission Tomography ◽  
Binding Potential ◽  
Specific Distribution ◽  
Positron Emission

This article describes the kinetic modeling of [18F]-FEPPA binding to translocator protein 18 kDa in the human brain using high-resolution research tomograph (HRRT) positron emission tomography. Positron emission tomography scans were performed in 12 healthy volunteers for 180 minutes. A two-tissue compartment model (2-CM) provided, with no exception, better fits to the data than a one-tissue model. Estimates of total distribution volume ( VT), specific distribution volume ( VS), and binding potential ( BPND) demonstrated very good identifiability (based on coefficient of variation ( COV)) for all the regions of interest (ROIs) in the gray matter ( COV VT < 7%, COV VS < 8%, COV BPND < 11%). Reduction of the length of the scan to 2 hours is feasible as VS and VT showed only a small bias (6% and 7.5%, respectively). Monte Carlo simulations showed that, even under conditions of a 500% increase in specific binding, the identifiability of VT and VS was still very good with COV<10%, across high-uptake ROIs. The excellent identifiability of VT values obtained from an unconstrained 2-CM with data from a 2-hour scan support the use of VT as an appropriate and feasible outcome measure for [18F]-FEPPA.

scholarly journals Linearized Reference Tissue Parametric Imaging Methods: Application to [11C]DASB Positron Emission Tomography Studies of the Serotonin Transporter in Human Brain

2003 ◽  
Vol 23 (9) ◽  
pp. 1096-1112 ◽  
Author(s):  
Masanori Ichise ◽  
Jeih-San Liow ◽  
Jian-Qiang Lu ◽  
Akihiro Takano ◽  
Kendra Model ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Human Brain ◽  
Positron Emission Tomography Imaging ◽  
Emission Tomography ◽  
Binding Potential ◽  
Parametric Imaging ◽  
Reference Tissue ◽  
Parametric Images ◽  
Positron Emission ◽  
Tissue Models

The authors developed and applied two new linearized reference tissue models for parametric images of binding potential ( BP) and relative delivery ( R1) for [11C]DASB positron emission tomography imaging of serotonin transporters in human brain. The original multilinear reference tissue model (MRTMO) was modified (MRTM) and used to estimate a clearance rate ( k′2) from the cerebellum (reference). Then, the number of parameters was reduced from three (MRTM) to two (MRTM2) by fixing k′2. The resulting BP and R1 estimates were compared with the corresponding nonlinear reference tissue models, SRTM and SRTM2, and one-tissue kinetic analysis (1TKA), for simulated and actual [11C]DASB data. MRTM gave k′2 estimates with little bias (<1%) and small variability (<6%). MRTM2 was effectively identical to SRTM2 and 1TKA, reducing BP bias markedly over MRTMO from 12–70% to 1–4% at the expense of somewhat increased variability. MRTM2 substantially reduced BP variability by a factor of two or three over MRTM or SRTM. MRTM2, SRTM2, and 1TKA had R1 bias <0.3% and variability at least a factor of two lower than MRTM or SRTM. MRTM2 allowed rapid generation of parametric images with the noise reductions consistent with the simulations. Rapid parametric imaging by MRTM2 should be a useful method for human [11C]DASB positron emission tomography studies.

scholarly journals Traumatic brain injury induces elevation of Co in the human brain

Metallomics ◽  
2015 ◽  
Vol 7 (1) ◽  
pp. 66-70 ◽  
Author(s):  
Blaine R. Roberts ◽  
Dominic J. Hare ◽  
Catriona A. McLean ◽  
Alison Conquest ◽  
Monica Lind ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Positron Emission Tomography ◽  
Brain Injury ◽  
Human Brain ◽  
Injury Severity ◽  
Acute Brain Injury ◽  
Emission Tomography ◽  
Positron Emission ◽  
The Brain

Following acute brain injury (<3 hours post-event), cobalt levels in the brain are significantly elevated. This elevation may have important implications for positron emission tomography neuroimaging for assessing brain injury severity.

Metabolic and Hemodynamic Resting-State Connectivity of the Human Brain: A High-Temporal Resolution Simultaneous BOLD-fMRI and FDG-fPET Multimodality Study

2021 ◽  
Author(s):  
Sharna D Jamadar ◽  
Phillip G D Ward ◽  
Emma X Liang ◽  
Edwina R Orchard ◽  
Zhaolin Chen ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Human Brain ◽  
Temporal Resolution ◽  
Fdg Pet ◽  
Brain Connectivity ◽  
Emission Tomography ◽  
High Temporal Resolution ◽  
Positron Emission ◽  
Metabolic Connectivity ◽  
The Brain

Abstract Simultaneous [18F]-fluorodeoxyglucose positron emission tomography functional magnetic resonance imaging (FDG-PET/fMRI) provides the capacity to image 2 sources of energetic dynamics in the brain—glucose metabolism and the hemodynamic response. fMRI connectivity has been enormously useful for characterizing interactions between distributed brain networks in humans. Metabolic connectivity based on static FDG-PET has been proposed as a biomarker for neurological disease, but FDG-sPET cannot be used to estimate subject-level measures of “connectivity,” only across-subject “covariance.” Here, we applied high-temporal resolution constant infusion functional positron emission tomography (fPET) to measure subject-level metabolic connectivity simultaneously with fMRI connectivity. fPET metabolic connectivity was characterized by frontoparietal connectivity within and between hemispheres. fPET metabolic connectivity showed moderate similarity with fMRI primarily in superior cortex and frontoparietal regions. Significantly, fPET metabolic connectivity showed little similarity with FDG-sPET metabolic covariance, indicating that metabolic brain connectivity is a nonergodic process whereby individual brain connectivity cannot be inferred from group-level metabolic covariance. Our results highlight the complementary strengths of fPET and fMRI in measuring the intrinsic connectivity of the brain and open up the opportunity for novel fundamental studies of human brain connectivity as well as multimodality biomarkers of neurological diseases.

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