|
|
|||||||||
Basic Science Investigations |
1 Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
2 Mood and Anxiety Disorders Program, National Institutes of Mental Health, Bethesda, Maryland
3 Department of Biostatistics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| ABSTRACT |
|---|
|
|
|---|
Key Words: PET blood flow amphetamine
| INTRODUCTION |
|---|
|
|
|---|
Neuroimaging studies of dopamine activity conducted in humans and animals have yielded reductions in radiotracer binding after AMPH (
1 mg/kg) that exceeded the test-retest reliability of the binding parameters (
10%). These investigations were conducted after the administration of radiotracer by bolus injection (nonequilibrium studies) or by bolus injection + constant infusion ([B/I] equilibrium studies) of the radiotracer, as reviewed recently (5). The B/I method requires that constant radioactivity levels be established, whereas the bolus method does not (8). These types of studies focused primarily on the striatal or basal ganglia regions of the brain (caudate and putamen) as well as the cerebellum.
Improvements in the spatial resolution of PET scanners and in the ability to perform robust image registration between functional PET and anatomic MRI data (9) have allowed neuroimaging researchers to examine dopamine activity in subregions of the striatum. Recently, Drevets et al. (10) reported that AMPH-induced dopamine release was greater in the anteroventral striatum than in the dorsal caudate, in baboons, using the bolus PET 11C-raclopride/AMPH paradigm (AMPH, 0.31.0 mg/kg). This work included simulation studies that served to validate the methodology used to assess dopamine activity in small adjacent regions of the caudate and putamen (10,11). This methodology was subsequently extended to humans to show a preferential sensitivity of the ventral striatum to AMPH-induced dopamine release and a positive correlation between the magnitude of ventral striatal dopamine release and the hedonic response to AMPH (12).
Validation studies of the bolus and B/I methodology have provided important contributions to this area of research (5,8,13,14). A comparison of bolus and B/I PET 11C-raclopride/AMPH studies in monkeys (0.4 mg/kg AMPH) yielded good agreement between baseline 11C-raclopride distribution volume (DV) values determined by the 2 methods; after AMPH, reductions in binding of 22%42% for bolus studies and 19% ± 16% for B/I studies were observed (8).
One concern for bolus studies has been the extent to which alterations in cerebral blood flow (CBF) during the PET scan could impact the in vivo assessment of dopamine activity. Logan et al. (14) performed PET studies and computer simulations to examine the effects of CBF changes on 11C-raclopride-specific binding measures (e.g., DV and DV ratio [DVratio]). Elevation and reduction of the partial pressure of CO2 (PCO2) level (30%40%) led to contrary changes in the 11C-raclopride DVratio (as large as 14%) in anesthetized baboons (14). Using models that explicitly incorporated CBF, computer simulations revealed no variation in DV if CBF was constant over the study, but DV variations were found with large fluctuations in flow. It was noted (14) that the simulations were performed under the assumption that CBF changes did not alter dopamine levels, although transient CBF reductions have increased extracellular dopamine in in vivo microdialysis rat studies (15).
The goal of this work was to use the bolus injection PET methodology and H215O as the radiotracer to quantify the effect of AMPH on CBF in nonhuman primates. In this study, sequential PET studies were performed on baboons at baseline (4 scans over 60 min) and after AMPH administration (4 scans over 60 min). CBF was measured in multiple brain regions, including striatal subregions (e.g., dorsal caudate, ventral putamen, anteroventral striatum).
| MATERIALS AND METHODS |
|---|
|
|
|---|
|
MRI
For each baboon, MRI was performed on a 1.5-T scanner (Signa; GE Medical Systems, Milwaukee, WI) using a standard head coil. After obtaining a brief scout, T1-weighted sagittal image, a volumetric spoiled gradient recalled (SPGR) sequence was acquired in the coronal plane (echo time [TE], 5; repetition time [TR], 24; flip angle, 40°; section thickness, 1.5 mm; number of excitations [NEX], 2; field of view [FOV], 12 cm; image matrix, 256 x 224 pixels). For baboon B5, an SPGR was not available and T1-weighted MR image (TE, 18; TR, 400; section thickness, 3 mm/0-mm intersection gap; NEX, 1; FOV, 15 cm; image matrix, 256 x 256 pixels) data were obtained. MR data were transferred to the PET Facility over the electronic network.
PET
PET data were acquired on an ECAT HR+ scanner (Siemens/CTI, Knoxville, TN) in 3-dimensional (3D) imaging mode (63 parallel planes): axial FOV, 15.2 cm; in-plane resolution, 4.1 mm full width at half maximum; slice thickness, 2.4 mm. A model-based correction was applied to account for a 35% 3D scatter fraction (16), and the scanner gantry was equipped with a Neuro-insert (CTI PET Systems, Knoxville, TN) to reduce the contribution of scattered photon events (17). Images were reconstructed with a Hanning filter (cutoff, Nyquist), resulting in a final reconstructed image resolution of 7.1 mm (transverse) and 6.7 mm (axial) (10).
The head of the anesthetized baboon was immobilized and secured within a head-holder apparatus that was attached to the scanner table. For each H215O study, 444 MBq (12 mCi) were injected in 57 mL of saline as a rapid bolus using an automated injector system with the simultaneous initiation of arterial blood sampling and a 4-min dynamic PET scan (23 frames: 10 x 3 s, 3 x 10 s, 4 x 15 s, and 6 x 20 s). The arterial blood data (input function) were collected over 4.2 min using a Siemens Liquid Activity Monitoring System (Masterflex peristalsis pump) that withdraws blood at a rate of 6 mL/min and detects radioactive events with dual 50 x 25 mm Bi4Ge3O12 scintillation crystals (efficiency, 14%). At the conclusion of each arterial blood collection, the peristalsis pump was reversed and the blood was pumped back into the animal.
Eight sequential H215O PET scans were obtained as shown in Figure 1. The scans were acquired at
20-min intervals with the exception of baboon B1, for which scans were acquired 15 min apart. The first 4 H215O scans (injections 14) were obtained before AMPH administration (0 and every 20 min over 60 min). Approximately 15 min after the fourth injection, AMPH (0.6 mg/kg) was administered over 2 min (18). Five minutes after the start of the AMPH injection, the first H215O study (after AMPH) was performed, and additional H215O scans were acquired at 20-min intervals. Four H215O scans were obtained after AMPH (injections 58).
|
Data Analysis
MR data were coregistered to the PET data using an automated algorithm for image alignment and reslicing (9,19). The 23 frames of each PET image were summed over the 4-min period to yield 8 summed PET images. After centering of the first H215O PET image before AMPH, the remaining summed images (injections 28) were aligned to the first centered image. The MR image data were coregistered with the first, summed and centered, H215O PET image before AMPH and resliced to yield MR images in the same spatial orientation as the summed PET scans.
Regions of interest (ROIs) were then drawn on the coregistered MR images (Fig. 2) and applied to the dynamic PET image data to generate time-activity data for the frontal ([FRT] dorsal lateral prefrontal cortex) and temporal (TEM) cortices, thalamus (THL), striatum (STR), and cerebellum (CER). The striatal ROI was an average of caudate (CAU) and putamen (PUT), for which the following subregions were also studied: dorsal caudate (DCA), middle caudate (MCA), dorsal putamen (DPU), ventral putamen (VPU). Also included in the striatal average was the anteroventral striatum (AVS) (10). The ROIs were created using Imagetool software (CTI PET Systems). The PET time-activity data were created using an internally developed interactive data language (Research Systems, Inc., Boulder, CO) routine and correspond to left and right region averages. The PET data were converted to units of kBq/mL (µCi/mL) using a phantom-based calibration factor.
|
![]() | (Eq. 1) |
t) were accounted for on a regional basis (21). Therefore, 3 parameters were estimated for each time-activity curve (K1, k2,
t) using an iterative least-squares curve-fitting technique (22,23) and Marquardt minimization (24). No correction was made for input function dispersion or for PCO2 (which was not expected to vary between studies before and after AMPH). A global K1 value also was determined, for each injection, on the basis of a weighted average of FRT, TEM, STR, CER, and THL K1 values (weighted by number of pixels in each ROI). In this work, K1 was assumed to be equivalent to blood flow and the extraction of H215O was assumed to be unity. In addition, the impact of anesthesia and AMPH on vascular permeability was assumed to be negligible. Therefore, alterations in the H215O K1 value were interpreted as alterations in blood flow.
Test-retest variability in K1 was determined from the H215O PET studies acquired after injections 3 and 4 before AMPH administration. The data from injections 1 and 2 were not included in this determination to minimize the influence of ketamine and variations in isoflurane level as well as any residual influences of atropine. The third injection of H215O was administered an average of 116 ± 29 min after ketamine administration (Table 1). A test-retest percentage difference (T - R [%]) value was calculated between the K1 values of injections 3 and 4 (relative to injection 3):
![]() | (Eq. 2) |
The magnitude of the test-retest variability was assessed as the average of the absolute T - R (%) values.
The impact of AMPH on CBF was assessed by examining the percentage difference between each K1 value for injections 58 relative to the average K1 value for injections 3 and 4. The variation in K1 across a given condition (before or after AMPH) was assessed through the coefficient of variation ([CV (%)] = [SD/mean] x100).
The statistical significance of the K1 alterations was tested using the Wilcoxon signed rank test (
= 0.05; exact inference) (25). A nonparametric test was used (rather than ANOVA) because the central limit theorem was deemed inapplicable as a result of the small sample size and violation of the assumption of normality. The Wilcoxon test was used for 2 comparisons. First, the AMPH-induced alterations in K1 were assessed by comparing the average of the K1 values (injections 3 and 4) before AMPH administration with the average of the early K1 values (injections 5 and 6) after AMPH. Second, alterations in K1 during the period (1 h) after AMPH administration were tested by comparing the average of the early K1 values (injections 5 and 6) after AMPH with the average of the late K1 values (injections 7 and 8) after AMPH. No correction for multiple comparisons was performed.
In view of the small sample, the statistical power of the Wilcoxon test (n, 5/6 baboons;
= 0.05; 2-sided alternative) was explored for K1 alterations of 30% (assuming normality). Comparison of K1 values before and after AMPH yielded a power of <0.2 in the THL and of
0.5 in the cortex, CAU, and AVS, with greater power for the PUT (0.60.7) and CER (0.9). The data after AMPH were less variable (compared with data before AMPH), and K1 alterations (early vs. late) after AMPH yielded a power of 0.30.7 in the cortex and THL and 0.8 in the CAU, AVS, PUT, and CER.
| RESULTS |
|---|
|
|
|---|
|
|
|
|
7 min after AMPH), whereas the greatest decreases were observed for injection 8 (
60 min after AMPH). The largest increase for baboon B4 was in the frontal cortex (15%), whereas changes in other regions were similar or well within the average test-retest variability. Variation across the 4 K1 values before AMPH for baboon B4 was small and this was thought to partly reflect the similar isoflurane doses during the period before AMPH (Table 1). Moderate variation noted for baboon B4, across regions, in the 4 K1 values after AMPH was greatest in the AVS (CV = 14%) and smallest in the CER (CV = 6%) (Fig. 4; Table 3).
Baboon B6 exhibited less variation in the rMAP value, a greater range and magnitude of K1 values, and a greater initial sensitivity to AMPH (relative to baboon B4). With respect to time, most regions of baboon B6 showed the greatest increase after injection 6 (
27 min after AMPH injection). For baboon B6, all regions showed an increase in K1 after AMPH that was greatest in the THL (80%) and smallest in the CER (20%). Variation across the 4 K1 values before AMPH for baboon B6 was large and greatest for the CER (36%), and this was partly attributed to variations in the isoflurane doses before AMPH (Table 1). On the other hand, the magnitude of the variation in the K1 values after AMPH was similar to that observed for baboon B4, and this was greatest for the frontal cortex (CV = 13%).
For each baboon, a general temporal pattern of the K1 values was observed across regions. Five of 6 baboons (B1, B2, B4B6) exhibited a general pattern of increased K1 after AMPH administration and an eventual decline in K1 at later times after AMPH injection (Table 3). However, baboon B3 exhibited a different temporal pattern of great initial increases in K1 that remained elevated throughout the period after AMPH (Table 3). The complete analysis of the data for baboon B3 was not possible as a result of missing data for injection 6 because of technical problems in the collection of the input function data. Therefore, the average changes in the K1 values after AMPH in Table 3 and the statistical results in Table 4 reflect data from only 5 baboons (B1, B2, B4B6).
|
t). Comparisons of the input function height (average of injections 3 and 4) before AMPH with the average heights for injections 5 and 6 and injections 7 and 8 showed lower input function heights of 5%6% after AMPH (across 5 baboons). The average differences in the input function curve areas, after AMPH, were only
1%. The input function delay values before AMPH (
t = 0.20 ± 0.02 min) were generally greater than those after AMPH administration (
t = 0.18 ± 0.04 min) but were similar overall (averages across regions and baboons; n = 5).
For the 5 baboons, the average increase in CBF, after injection 5, ranged from
26% in the THL to
10% in the PUT. After injection 6, the average increase ranged from
43% in the THL to
13% in the TEM. Examination of average K1 values by the Wilcoxon signed rank test did not detect significant differences using a 2-sided test, whereas significance was detected in some regions using a 1-sided test. Application of the 1-sided test was based on the observation of uniformity in the temporal response across the 5 baboons (initial K1 increase and subsequent decline after AMPH); the 1-sided test also provided greater statistical power.
For the initial alteration in K1 after AMPH administration (Table 4), significance was detected for the CAU, AVS, THL, and CER (P = 0.03) but not for cortical areas and the PUT (P < 0.05). With respect to alterations in K1 during the period after AMPH, significance was detected for the PUT, AVS, and CER (P = 0.03) but not for the cortical regions, CAU, and THL (P < 0.05). As described above, no correction was made for multiple comparisons.
Comparisons of the global K1 values before and after AMPH administration for the 5 baboons yielded significant differences (P = 0.03) for K1 before AMPH versus early K1 after AMPH but not for early K1 after AMPH versus late K1 after AMPH (P = 0.06). The global data indicated significance for the AMPH-induced increase in K1 but did not strongly support alterations in K1 over the time period after AMPH (Wilcoxon test, 1-sided).
| DISCUSSION |
|---|
|
|
|---|
15%20% in striatal areas) after AMPH administration that gradually declined toward baseline values over 1 h for 5 of 6 baboons. The temporal pattern of change was consistent across regions, and these alterations reached statistical significance in particular subcortical regions and the CER.
An important aspect of these studies involved the assessment of physiologic response to AMPH in animals under the concomitant influence of atropine, ketamine, and isoflurane. The extent to which these agents altered CBF or interacted with the dopaminergic system during this study is unclear, although the acute effects of these agents were minimized by analyzing data that were acquired an average of
2 h after ketamine (and atropine) administration and by limiting the test-retest analyses to data for injections 3 and 4 when isoflurane levels were more constant (Table 1).
As recently summarized by Drevets et al. (10), atropine and ketamine may have dopamine-releasing properties (27,28). These agents and isoflurane indirectly and directly influence regional CBF (2931). In our study, a large variation (36%) was noted across the cerebellar K1 values before AMPH administration for baboon B6. For this animal, the K1 values for injections 1 and 2 were increasing and appeared to plateau by injections 3 and 4. This variation was thought to partially reflect the influence of isoflurane, for which the dose was
2-fold less for injections 1 and 2 relative to that for injections 3 and 4 (Table 1; Fig. 4). Similarly, the large K1 values after AMPH for baboon B3 could have been associated with ketamine dose because this animal had the shortest time interval after ketamine administration before injection 3 (73 min). This work could have been improved by performing studies on more baboons to reduce variability in the outcome measures. The number of available baboons was small, and each was studied only once in an effort to acquire an independent sample.
Previous human and animal studies have yielded evidence of decreased and increased CBF after AMPH administration (0.255 mg/kg) (3236), although the techniques vary greatly across these studies. One strength of our study was the fully dynamic quantitative PET approach that was applied on a sequential basis in the living baboon.
As recently reviewed, an advantage of applying a B/I paradigm to study the effect of AMPH on 11C-raclopride binding is that this equilibrium method is not affected by variations in CBF, whereas bolus analyses could potentially be influenced by such fluctuations (5,14). It has been noted that artifactual reductions in 11C-raclopride binding after AMPH administration may result, in bolus analyses, from time-varying CBF profiles that correspond to an initial decrease followed by an increase in CBF (5).
In this work, the Wilcoxon test indicated statistically significant initial increases and variations in flow (eventual decline toward baseline) after AMPH administration, for the subset of 5 baboons, in particular brain regions (Table 4). The extent to which such variations in CBF could affect measures of 11C-raclopride binding was appraised on the basis of the studies of Logan et al. (14) that assessed the impact of time-varying blood flow on bolus injection 11C-raclopride binding measures.
Previously, Logan et al. (14) found that hyperventilation led to reduced values of 11C-raclopride K1 and DV but negligible change in DVratio (in human). Logan et al. also performed computer simulations that included a model for which the relationship between blood flow (F [mL/g/min]) and K1 (mL/g/min) was expressed as:
![]() | (Eq. 3) |
In Equation 3, the extraction of the radioligand (Eo) depends on its permeability for the capillary wall (P [cm/min]) and the surface area of the capillary (S [cm2/g]), where PS1 is from plasma to tissue (mL/g/min). In the simulations (based on human parameters), flow was varied linearly over 0.20.8 mL/g/min while generating 11C-raclopride (PS1, 0.13 mL/g/min) and 11C-cocaine (PS1, 0.45 mL/g/min) PET data. Essentially no change was found in the 11C-raclopride DV whether flow linearly increased or decreased, whereas a larger PS value led to a 5% increase in the 11C-cocaine DV if flow was decreased during the simulation (-8% if flow increased).
The range of flow values examined by Logan et al. (14) corresponded to H215O K1 values of 0.20.6 mL/mL/min (Eq. 3; H215O PS1 for baboon, 1.04 mL/g/min (37), allowing 1 g/mL tissue density) and were similar to those observed in our study. The largest individual early increases in the H215O K1 values (subset of 5 baboons) were approximately 95% and 45% in the THL and the STR, respectively. For a given baboon, the largest CV over the K1 values after AMPH administration was
20%. Overall, the findings suggest that the direction and magnitude of the CBF fluctuations observed in this study would have led to modest changes in the 11C-raclopride binding potential (DVratio - 1), even if AMPH administration had led to large increases in the PS value (38).
| CONCLUSION |
|---|
|
|
|---|
| ACKNOWLEDGMENTS |
|---|
| FOOTNOTES |
|---|
For correspondence or reprints contact: Julie C. Price, PhD, PET Facility, Department of Radiology, 200 Lothrop St., Room B938, Pittsburgh, PA 15213.
E-mail: price{at}pet.upmc.edu
| REFERENCES |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
J. R. Jennings, M. F. Muldoon, E. M. Whyte, J. Scanlon, J. Price, and C. C. Meltzer Brain Imaging Findings Predict Blood Pressure Response to Pharmacological Treatment Hypertension, December 1, 2008; 52(6): 1113 - 1119. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. R. Jennings, M. F. Muldoon, J. Price, I. C. Christie, and C. C. Meltzer Cerebrovascular Support for Cognitive Processing in Hypertensive Patients Is Altered by Blood Pressure Treatment Hypertension, July 1, 2008; 52(1): 65 - 71. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. R. Jennings, M. F. Muldoon, C. Ryan, J. C. Price, P. Greer, K. Sutton-Tyrrell, F. M. van der Veen, and C. C. Meltzer Reduced cerebral blood flow response and compensation among patients with untreated hypertension Neurology, April 26, 2005; 64(8): 1358 - 1365. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. G. Jenkins, R. Sanchez-Pernaute, A.-L. Brownell, Y.-C. I. Chen, and O. Isacson Mapping Dopamine Function in Primates Using Pharmacologic Magnetic Resonance Imaging J. Neurosci., October 27, 2004; 24(43): 9553 - 9560. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | RSS | TABLE OF CONTENTS |
| JOURNAL OF NUCLEAR MEDICINE TECHNOLOGY | THE JOURNAL OF NUCLEAR MEDICINE |