In the last decade, many studies have used automated processes to analyze magnetic resonance imaging (MRI) data such as cortical thickness, which is one indicator of neuronal health. Due to the convenience of image processing software (e.g., FreeSurfer), standard practice is to rely on automated results without performing visual inspection of intermediate processing. In this work, structural MRIs of 40 healthy controls who were scanned twice were used to determine the test–retest reliability of FreeSurfer-derived cortical measures in four groups of subjects—those 25 that passed visual inspection (approved), those 15 that failed visual inspection (disapproved), a combined group, and a subset of 10 subjects (Travel) whose test and retest scans occurred at different sites. Test–retest correlation (TRC), intraclass correlation coefficient (ICC), and percent difference (PD) were used to measure the reliability in the Destrieux and Desikan–Killiany (DK) atlases. In the approved subjects, reliability of cortical thickness/surface area/volume (DK atlas only) were: TRC (0.82/0.88/0.88), ICC (0.81/0.87/0.88), PD (0.86/1.19/1.39), which represent a significant improvement over these measures when disapproved subjects are included. Travel subjects’ results show that cortical thickness reliability is more sensitive to site differences than the cortical surface area and volume. To determine the effect of visual inspection on sample size required for studies of MRI-derived cortical thickness, the number of subjects required to show group differences was calculated. Significant differences observed across imaging sites, between visually approved/disapproved subjects, and across regions with different sizes suggest that these measures should be used with caution.
The serotonin (5-hydroxytryptamine, or 5-HT) type 1A receptor (5-HT1AR) is implicated in the pathophysiology of numerous neuropsychiatric disorders. We have published the initial evaluation and reproducibility in vivo of [O-methyl-11C]2-(4-(4-(2-methoxyphenyl)piperazin-1-yl)butyl)-4-methyl-1,2,4-triazine-3,5 (2H,4H)dione (11C-CUMI-101), a novel 5-HT1A agonist radiotracer, in Papio anubis. Here, we report the optimal modeling parameters of 11C-CUMI-101 for human PET studies. Methods PET scans were obtained for 7 adult human volunteers. 11C-CUMI-101 was injected as an intravenous bolus, and emission data were collected for 120 min in 3-dimensional mode. We evaluated 10 different models using metabolite-corrected arterial input functions or reference region approaches and several outcome measures. Results When using binding potential (BPF = Bavail/KD [total available receptor concentration divided by the equilibrium dissociation constant]) as the outcome measure, the likelihood estimation in the graphical analysis (LEGA) model performed slightly better than the other methods evaluated at full scan duration. The average test–retest percentage difference was 9.90% ± 5.60%. When using BPND (BPND = fnd × Bavail/KD; BPND equals the product of BPF and fnd [free fraction in the nondisplaceable compartment]), the simplified reference tissue method (SRTM) achieved the lowest percentage difference and smallest bias when compared with nondisplaceable binding potential obtained from LEGA using the metabolite-corrected plasma input function (r2 = 0.99; slope = 0.92). The time–stability analysis indicates that a 120-min scan is sufficient for the stable estimation of outcome measures. Voxel results were comparable to region-of-interest–based analysis, with higher spatial resolution. Conclusion On the basis of its measurable and stable free fraction, high affinity and selectivity, good blood–brain barrier permeability, and plasma and brain kinetics, 11C-CUMI-101 is suitable for the imaging of high-affinity 5-HT1A binding in humans.
Background At subanesthetic doses, ketamine, an N-Methyl-D-aspartate (NMDA) glutamate receptor antagonist, increases glutamate release. Here, we imaged the acute effect of ketamine on brain metabotropic glutamatergic receptors subtype 5 (mGluR5) with a high affinity PET ligand [11C]ABP688 ((E)-3-((6-methylpyridin-2-yl)ethynyl)-cyclohex-2-enone-O-11C-methyl-oxime), a negative allosteric modulator of mGluR5. Methods Ten healthy nonsmoking human volunteers (34±13 years old) received two [11C]ABP688 PET scans on the same day – before (scan 1) and during i.v. ketamine administration (0.23mg/kg over 1min, then 0.58mg/kg over 1h; scan 2). PET data were acquired for 90 min immediately following [11C]ABP688 bolus injection. Input functions were obtained through arterial blood sampling with metabolite analysis. Results A significant reduction in [11C]ABP688 volume of distribution (VT) was observed in scan 2 relative to scan 1 of 21.3 ± 21.4%, on average, in the anterior cingulate, medial prefrontal cortex, orbital prefrontal cortex, ventral striatum, parietal lobe, dorsal putamen, dorsal caudate, amygdala, and hippocampus. There was a significant increase in measurements of dissociative state after ketamine initiation (p<0.05) that resolved after completion of the scan. Discussion This study provides first evidence that ketamine administration decreases [11C]ABP688 binding in vivo in human subjects. Results suggest that [11C]ABP688 binding is sensitive to ketamine-induced effects, although the high individual variation in ketamine response requires further examination.
Major Depressive Disorder (MDD) is a highly prevalent psychiatric diagnosis that is associated with a high degree of morbidity and mortality. This debilitating disorder is currently one of the leading causes of disability nationwide and is predicted to be the leading cause of disease burden by the year 2030. A large body of previous research has theorized that serotonergic dysfunction, specifically of the serotonin (5-HT) 1A receptor, plays a key role in the development of MDD. The purpose of this review is to describe the evolution of our current understanding of the serotonin 1A (5-HT1A) receptor and its role in the pathophysiology MDD through the discussion of animal, post-mortem, positron emission tomography (PET), pharmacologic and genetic studies.
The mechanisms of action of the rapid antidepressant effects of ketamine, an NMDA glutamate receptor antagonist, have not been fully elucidated. This study examined effects of ketamine on ligand binding to a metabotropic glutamatergic receptor (mGluR5) in individuals with major depressive disorder (MDD) and healthy controls. Thirteen healthy and thirteen MDD nonsmokers participated in two [11C]ABP688 positron emission tomography (PET) scans on the same day – before and during intravenous ketamine administration – and a third scan 1 day later. At baseline, significantly lower [11C]ABP688 binding was detected in the MDD as compared to the control group. We observed a significant ketamine-induced reduction in mGluR5 availability, (i.e. [11C]ABP688 binding), in both MDD and control subjects (average of 14±9% and 19±22%, respectively; p<0.01 for both), which persisted 24 hours later. There were no differences in ketamine-induced changes between MDD and control groups at either time point (p=0.8). A significant reduction in depressive symptoms was observed following ketamine administration in the MDD group (p<0.001), which was associated with the change in binding (p<0.04) immediately post ketamine. We hypothesize that glutamate released after ketamine administration moderates mGluR5 availability; this change appears to be related to antidepressant efficacy. The sustained decrease in binding may reflect prolonged mGluR5 internalization in response to the glutamate surge.
The metabotropic glutamate receptor subtype 5 (mGluR5) has been implicated in the pathophysiology of mood and anxiety disorders. Recently, a positron emission tomography (PET) tracer exhibiting high selectivity and specificity for mGluR5, 3-(6-methyl-pyridin-2-ylethynyl)-cyclohex-2-enone-O-11 C-methyl-oxime ([ 11 C]ABP688), was developed. In this work, eight healthy adult male humans were imaged twice to assess within-subject [ 11 C]ABP688 binding variability using PET. In seven of the eight subjects, significantly higher binding was observed during the second (retest) scan. This binding increase could not be definitively explained by differences in ligand injected mass or dose, or changes in metabolism between scans. In addition, this type of systematic binding increase was not observed in a [ 11 C]ABP688 test-retest study performed by our group on anaesthetized baboons. It is therefore possible that the increased binding was because of physiological changes occurring between scans, such as changes in endogenous glutamate levels. If PET imaging with [ 11 C]ABP688 could detect such differences, as preliminary evidence suggests, it could be used to help uncover the role of glutamate in the pathophysiology of brain disorders. However, regardless of its ability to detect endogenous glutamate differences, [ 11 C]ABP688 binding variability could make accurate assessments of drug occupancy or group differences using this ligand difficult.
Multiple lines of research have implicated the serotonin 1A (5-HT1A) receptor in major depressive disorder (MDD). Despite this, quantification of 5-HT1A is yet to yield a clinically relevant MDD biomarker. One reason may be that reported sex differences in the serotonergic system confound the comparison between diagnostic groups. Therefore, this study sought to determine whether differences in 5-HT1A binding between depressed and control subjects are affected by sex. Using positron emission tomography (PET), serotonin 1A binding was quantified in 50 patients with MDD (34 female, 16 male) and 57 healthy controls (32 female, 25 male). The subjects' 5-HT1A density (BPF, equal to the product of the density of available receptors and tracer affinity), was determined by using the PET tracer [carbonyl-C-11]-WAY-100635, a selective 5-HT1A antagonist. Results indicated that male MDD subjects had a 67.0% higher BPF across 13 brain regions compared with male controls (df=103, p<0.0001). The greatest difference between MDD subjects and controls was in the raphe (132%, p=0.000). Furthermore, by using a threshold, male controls can be distinguished from depressed males with high sensitivity and specificity (both >80%). In females, the separation between diagnostic groups yields much lower sensitivity and specificity. This data therefore suggests a specific biosignature for MDD in males. Identification of such a biosignature could provide a deeper understanding of depression pathology, help identify those at highest risk, and aid in the development of new therapies. Further, these findings suggest that combining male and female cohorts may not be optimal for some MDD studies.
Background Chronic selective serotonin reuptake inhibitor (SSRI) administration to rodents desensitizes or downregulates raphe 5-HT1A autoreceptors. We previously found elevated 5-HT1A binding in antidepressant-naïve and not recently-medicated major depressive disorder, and now report the effect of SSRI treatment on 5-HT1A autoreceptors in depressed patients. Methods 5-HT1A binding (BPF) was quantified in medication-free subjects using PET with [11C]-WAY-100635 before and after treatment of major depressive disorder (MDD) with an SSRI for 5 to 9 weeks (mean 47±8 days). 19 subjects without recent history of antidepressant pharmacotherapy completed both [11C]WAY-100635 PET scans with a metabolite-corrected arterial input function and depression severity was rated before and after the treatment course. Results 5-HT1A autoreceptor BPF in the raphe was reduced 18% on SSRI treatment (df=1,18; F=5.12; p=0.036). However, the degree of reduction in 5-HT1A autoreceptor BPF was unrelated to improvement in depression (df=1,16; F=1.27; p=0.276). Conclusion Downregulation of 5-HT1A autoreceptor binding by SSRI treatment of major depression is consistent with animal studies. This may be a necessary but insufficient requirement for clinical response to SSRIs. A PET agonist ligand that binds selectively to the high affinity conformation of this receptor can determine whether SSRIs also cause desensitization of the autoreceptor as reported by some rodent studies, and whether that effect may be related to clinical response.
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