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Dive into the research topics where Christine DeLorenzo is active.

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Featured researches published by Christine DeLorenzo.


The Journal of Nuclear Medicine | 2010

In Vivo Quantification of Human Serotonin 1A Receptor Using 11C-CUMI-101, an Agonist PET Radiotracer

Matthew S. Milak; Christine DeLorenzo; Francesca Zanderigo; Jaya Prabhakaran; J. S. Dileep Kumar; Vattoly J. Majo; J. John Mann; Ramin V. Parsey

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.


Journal of Cerebral Blood Flow and Metabolism | 2011

In vivo variation in metabotropic glutamate receptor subtype 5 binding using positron emission tomography and [11C]ABP688

Christine DeLorenzo; J.S. Dileep Kumar; J. John Mann; Ramin V. Parsey

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-11C-methyl-oxime ([11C]ABP688), was developed. In this work, eight healthy adult male humans were imaged twice to assess within-subject [11C]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 [11C]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 [11C]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, [11C]ABP688 binding variability could make accurate assessments of drug occupancy or group differences using this ligand difficult.


Biological Psychiatry | 2013

Antidepressant treatment reduces serotonin-1A autoreceptor binding in major depressive disorder.

Neil Gray; Matthew S. Milak; Christine DeLorenzo; R. Todd Ogden; Yung-yu Huang; J. John Mann; Ramin V. Parsey

BACKGROUND Chronic selective serotonin reuptake inhibitor (SSRI) administration to rodents desensitizes or downregulates raphe 5-hydroxytryptamine 1A (5-HT1A) autoreceptors. We previously found elevated 5-HT1A binding in antidepressant-naive and not recently medicated major depressive disorder (MDD) 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 positron emission tomography (PET) with [11C]-WAY-100635 before and after treatment of MDD with an SSRI for 5 to 9 weeks (mean 47 ± 8 days). Nineteen 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 = .036). However, the degree of reduction in 5-HT1A autoreceptor BPF was unrelated to improvement in depression (df = 1,16; F = 1.27; p = .276). CONCLUSIONS 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.


Biological Psychiatry | 2015

In Vivo Ketamine-Induced Changes in [11C]ABP688 Binding to Metabotropic Glutamate Receptor Subtype 5

Christine DeLorenzo; Nicole DellaGioia; Michael H. Bloch; Gerard Sanacora; Nabeel Nabulsi; Chadi G. Abdallah; Jie Yang; Ruofeng Wen; J. John Mann; John H. Krystal; Ramin V. Parsey; Richard E. Carson; Irina Esterlis

BACKGROUND At subanesthetic doses, ketamine, an N-methyl-D-aspartate glutamate receptor antagonist, increases glutamate release. We imaged the acute effect of ketamine on brain metabotropic glutamatergic receptor subtype 5 with a high-affinity positron emission tomography (PET) ligand [(11)C]ABP688 (E)-3-[2-(6-methyl-2-pyridinyl)ethynyl]-2-cyclohexen-1-one-O-(methyl-11C)oxime, a negative allosteric modulator of the metabotropic glutamatergic receptor subtype 5. METHODS Two [(11)C]ABP688 PET scans were performed in 10 healthy nonsmoking human volunteers (34 ± 13 years old); the two PET scans were performed on the same day-before (scan 1) and during intravenous ketamine administration (.23 mg/kg over 1 min, then .58 mg/kg over 1 hour; scan 2). The PET data were acquired for 90 min immediately after [(11)C]ABP688 bolus injection. Input functions were obtained through arterial blood sampling with metabolite analysis. RESULTS A significant reduction in [(11)C]ABP688 volume of distribution 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 < .05), which resolved after completion of the scan. CONCLUSIONS This study provides first evidence that ketamine administration decreases [(11)C]ABP688 binding in vivo in human subjects. The results suggest that [(11)C]ABP688 binding is sensitive to ketamine-induced effects, although the high individual variation in ketamine response requires further examination.


Human Brain Mapping | 2015

Test-retest reliability of freesurfer measurements within and between sites: Effects of visual approval process

Zafer Iscan; Tony B. Jin; Alexandria Kendrick; Bryan Szeglin; Hanzhang Lu; Madhukar H. Trivedi; Maurizio Fava; Myrna M. Weissman; Benji T. Kurian; Phillip Adams; Sarah Weyandt; Marisa Toups; Thomas Carmody; Melvin G. McInnis; Cristina Cusin; Crystal Cooper; Maria A. Oquendo; Ramin V. Parsey; Christine DeLorenzo

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. Hum Brain Mapp 36:3472–3485, 2015.


European Journal of Nuclear Medicine and Molecular Imaging | 2011

In vivo positron emission tomography imaging with [11C]ABP688: Binding variability and specificity for the metabotropic glutamate receptor subtype 5 in baboons

Christine DeLorenzo; Matthew S. Milak; Kathleen G. Brennan; J.S. Dileep Kumar; J. John Mann; Ramin V. Parsey

PurposeMetabotropic glutamate receptor subtype 5 (mGluR5) dysfunction has been implicated in several disorders. [11C]ABP688, a positron emission tomography (PET) ligand targeting mGluR5, could be a valuable tool in the development of novel therapeutics for these disorders by establishing in vivo drug occupancy. Due to safety concerns in humans, these studies may be performed in nonhuman primates. Therefore, in vivo characterization of [11C]ABP688 in nonhuman primates is essential.MethodsTest–retest studies were performed in baboons (Papio anubis) to compare modeling approaches and determine the optimal reference region. The mGluR5-specific antagonist 3-((2-methyl-1,3-thiazol-4-yl)ethynyl)pyridine (MTEP) was then used in test–block studies, in which ligand binding was measured before and after MTEP administration. Test/block data were analyzed both by calculating changes in binding and using a graphical approach, which allowed estimation of both MTEP occupancy and nonspecific binding.ResultsTest–retest results, which have not been previously reported for [11C]ABP688, indicated that [11C]ABP688 variability is low using an unconstrained two-tissue compartment model. The most appropriate, though not ideal, reference region was found to be the gray matter of the cerebellum. Using these optimal modeling techniques on the test/block data, about 90% occupancy was estimated by the graphical approach.ConclusionThese studies are the first to demonstrate the specificity of [11C]ABP688 for mGluR5 with in vivo PET in nonhuman primates. The results indicate that, in baboons, occupancy of mGluR5 is detectable by in vivo PET, a useful finding for proceeding to human studies, or performing further baboon studies, quantifying the in vivo occupancy of novel therapeutics targeting mGluR5.


European Neuropsychopharmacology | 2016

The 5-HT1A receptor in Major Depressive Disorder.

Joshua Kaufman; Christine DeLorenzo; Sunia Choudhury; Ramin V. Parsey

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.


Human Brain Mapping | 2015

Test-retest reliability of freesurfer measurements within and between sites

Zafer Iscan; Tony B. Jin; Alexandria Kendrick; Bryan Szeglin; Hanzhang Lu; Madhukar H. Trivedi; Maurizio Fava; Patrick J. McGrath; Myrna M. Weissman; Benji T. Kurian; Phillip Adams; Sarah Weyandt; Marisa Toups; Thomas Carmody; Cristina Cusin; Crystal Cooper; Maria A. Oquendo; Ramin V. Parsey; Christine DeLorenzo

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. Hum Brain Mapp 36:3472–3485, 2015.


Journal of Cerebral Blood Flow and Metabolism | 2009

Modeling considerations for in vivo quantification of the dopamine transporter using [11C]PE2I and positron emission tomography

Christine DeLorenzo; J. S. Dileep Kumar; Francesca Zanderigo; J. John Mann; Ramin V. Parsey

The dopamine transporter (DAT) is an important imaging target as changes in DAT have been implicated in a variety of neurologic and psychiatric disorders and can result from certain classes of medications. [11C]N-(3-iodoprop-2E-enyl)-2β-carbomethoxy-3β-(4-methylphenyl)nortropane ([11C]PE2I), a radioligand with high specificity for DAT, has been shown to exhibit favorable kinetics and to produce high contrast positron emission tomography (PET) images. To better characterize this ligand and to assess its measurement reliability, PET images of seven subjects were acquired in a test–retest paradigm. For optimal model performance, each subject was scanned for 120 mins, ensuring that high binding regions could reach equilibrium, a validated coregistration method was performed for accurate anatomic delineations and an exhaustive search for a reference region having one-tissue compartment kinetics was undertaken. Eleven modeling methods were tested and six metrics were used for method evaluation. A noniterative two-tissue compartment method with 100 mins of scanning time was found to be optimal for characterizing [11C]PE2I.


Frontiers in Psychiatry | 2013

Prediction of Selective Serotonin Reuptake Inhibitor Response Using Diffusion-Weighted MRI

Christine DeLorenzo; Lauren Delaparte; Binod Thapa-Chhetry; Jeffrey M. Miller; J. John Mann; Ramin V. Parsey

Pre-treatment differences in serotonergic binding between those who remit to antidepressant treatment and those who do not have been found using Positron Emission Tomography (PET). To investigate these differences, an exploratory study was performed using a second imaging modality, diffusion-weighted MRI (DW-MRI). Eighteen antidepressant-free subjects with Major Depressive Disorder received a 25-direction DW-MRI scan prior to 8 weeks of selective serotonin reuptake inhibitor treatment. Probabilistic tractography was performed between the midbrain/raphe and two target regions implicated in depression pathophysiology (amygdala and hippocampus). Average fractional anisotropy (FA) within the derived tracts was compared between SSRI remitters and non-remitters, and correlation between pre-treatment FA values and SSRI treatment outcome was assessed. Results indicate that average FA in DW-MRI-derived tracts to the right amygdala was significantly lower in non-remitters (0.55 ± 0.04) than remitters (0.61 ± 0.04, p < 0.01). In addition, there was a significant correlation between average FA in tracts to the right amygdala and SSRI treatment response. These relationships were found at a trend level when using the left amygdala as a tractography target. No significant differences were observed when using the hippocampus as target. These regional differences, consistent with previous PET findings, suggest that the integrity and/or number of white matter fibers terminating in the right amygdala may be compromised in SSRI non-remitters. Further, this study points to the benefits of multimodal imaging and suggests that DW-MRI may provide a pre-treatment signature of SSRI depression remission at 8 weeks.

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Maria A. Oquendo

University of Pennsylvania

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Jie Yang

Stony Brook University

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Benji T. Kurian

University of Texas Southwestern Medical Center

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Crystal Cooper

University of Texas Southwestern Medical Center

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Madhukar H. Trivedi

University of Texas Southwestern Medical Center

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