Yeona Kang
Cornell University
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Publication
Featured researches published by Yeona Kang.
Epilepsia | 2016
Tracy Butler; Yi Li; Wai Tsui; Daniel Friedman; Anat Maoz; Xiuyuan Wang; Patrick Harvey; Emily Tanzi; Simon Morim; Yeona Kang; Lisa Mosconi; Delia M. Talos; Ruben Kuzniecky; Shankar Vallhabjosula; Thomas Thesen; Lidia Glodzik; Masanori Ichise; David Silbersweig; Emily Stern; Mony J. de Leon; Jacqueline A. French
In animal models, inflammation is both a cause and consequence of seizures. Less is known about the role of inflammation in human epilepsy. We performed positron emission tomography (PET) using a radiotracer sensitive to brain inflammation in a patient with frontal epilepsy ~36 h after a seizure as well as during a seizure‐free period. When statistically compared to a group of 12 matched controls, both of the patients scans identified a frontal (supplementary motor area) region of increased inflammation corresponding to his clinically defined seizure focus, but the postseizure scan showed significantly greater inflammation intensity and spatial extent. These results provide new information about transient and chronic neuroinflammation in human epilepsy and may be relevant to understanding the process of epileptogenesis and guiding therapy.
Multiple sclerosis and related disorders | 2017
Ulrike W. Kaunzner; Yeona Kang; Elizabeth Monohan; Paresh J. Kothari; Nancy Nealon; Jai Perumal; Timothy Vartanian; Amy Kuceyeski; Shankar Vallabhajosula; P. David Mozley; Claire Riley; Stephen Newman; Susan A. Gauthier
OBJECTIVE The objective of this study is to longitudinally analyze the uptake of [11C]PK11195-PET in multiple sclerosis patients after 3 and 6 months of natalizumab treatment. METHODS Eighteen MS patients, starting treatment with monocloncal anti-VLA-4, were enrolled in a longitudinal PK-PET study. PK uptake was quantified by volume of distribution (VT) calculation using image-derived input function at baseline, 3 and 6 months. Pharmacokinetic quantification was done using a segmented MRI, and selected areas included white matter, gadolinium enhancing lesions, non-enhancing lesions, cortical grey matter and thalamus. VTs of lesions were calculated in reference to each patients white matter (VT ratio=VTr), to consider physiologic variability. RESULTS Test-retest variability was stable for healthy control (HC). Quantification of PK uptake was completed in 18 patients, and baseline uptake was compared to 6-month uptake. After the start of natalizumab VTr significantly decreased in 13 individual enhancing lesions present within 5 patients (p=0.001). Moreover, VTr of the sum of non-enhancing lesions showed a moderate decrease (p=0.03). No longitudinal changes were detected in normal appearing white matter, the thalamus and cortical grey matter. CONCLUSION A reduction in PK11195 uptake was observed in both enhancing and chronic lesions after the start of natalizumab. PK11195 PET can be used as tool to assess the longitudinal change in MS lesions.
Synapse | 2018
Francesca Zanderigo; Yeona Kang; Dileep Kumar; Anastasia Nikolopoulou; P. David Mozley; Paresh J. Kothari; Bin He; David Schlyer; Stanley I. Rapoport; Maria A. Oquendo; Shankar Vallabhajosula; J. John Mann; M. Elizabeth Sublette
Arachidonic acid (AA) is involved in signal transduction, neuroinflammation, and production of eicosanoid metabolites. The AA brain incorporation coefficient (K*) is quantifiable in vivo using [11C]AA positron emission tomography, although repeatability remains undetermined. We evaluated K* estimates obtained with population‐based metabolite correction (PBMC) and image‐derived input function (IDIF) in comparison to arterial blood‐based estimates, and compared repeatability. Eleven healthy volunteers underwent a [11C]AA scan; five repeated the scan 6 weeks later, simulating a pre‐ and post‐treatment study design. For all scans, arterial blood was sampled to measure [11C]AA plasma radioactivity. Plasma [11C]AA parent fraction was measured in 5 scans. K* was quantified using both blood data and IDIF, corrected for [11C]AA parent fraction using both PBMC (from published values) and individually measured values (when available). K* repeatability was calculated in the test‐retest subset. K* estimates based on blood and individual metabolites were highly correlated with estimates using PBMC with arterial input function (r = 0.943) or IDIF (r = 0.918) in the subset with measured metabolites. In the total dataset, using PBMC, IDIF‐based estimates were moderately correlated with arterial input function‐based estimates (r = 0.712). PBMC and IDIF‐based K* estimates were ∼6.4% to ∼11.9% higher, on average, than blood‐based estimates. Average K* test‐retest absolute percent difference values obtained using blood data or IDIF, assuming PBMC for both, were between 6.7% and 13.9%, comparable to other radiotracers. Our results support the possibility of simplified [11C]AA data acquisition through eliminating arterial blood sampling and metabolite analysis, while retaining comparable repeatability and validity.
PLOS ONE | 2018
Yeona Kang; David J. Schlyer; Ulrike W. Kaunzner; Amy Kuceyeski; Paresh J. Kothari; Susan A. Gauthier
Chronic active multiple sclerosis (MS) lesions have a rim of activated microglia/macrophages (m/M) leading to ongoing tissue damage, and thus represent a potential treatment target. Activation of this innate immune response in MS has been visualized and quantified using PET imaging with [11C]-(R)-PK11195 (PK). Accurate identification of m/M activation in chronic MS lesions requires the sensitivity to detect lower levels of activity within a small tissue volume. We assessed the ability of kinetic modeling of PK PET data to detect m/M activity in different central nervous system (CNS) tissue regions of varying sizes and in chronic MS lesions. Ten patients with MS underwent a single brain MRI and two PK PET scans 2 hours apart. Volume of interest (VOI) masks were generated for the white matter (WM), cortical gray matter (CGM), and thalamus (TH). The distribution volume (VT) was calculated with the Logan graphical method (LGM-VT) utilizing an image-derived input function (IDIF). The binding potential (BPND) was calculated with the reference Logan graphical method (RLGM) utilizing a supervised clustering algorithm (SuperPK) to determine the non-specific binding region. Masks of varying volume were created in the CNS to assess the impact of region size on the various metrics among high and low uptake regions. Chronic MS lesions were also evaluated and individual lesion masks were generated. The highest PK uptake occurred the TH and lowest within the WM, as demonstrated by the mean time activity curves. In the TH, both reference and IDIF based methods resulted in estimates that did not significantly depend on VOI size. However, in the WM, the test-retest reliability of BPND was significantly lower in the smallest VOI, compared to the estimates of LGM-VT. These observations were consistent for all chronic MS lesions examined. In this study, we demonstrate that BPND and LGM-VT are both reliable for quantifying m/M activation in regions of high uptake, however with blood input function LGM-VT is preferred to assess longitudinal m/M activation in regions of relatively low uptake, such as chronic MS lesions.
Journal of Neuroimaging | 2018
Yeona Kang; P. David Mozley; Ajay Verma; David Schlyer; Claire Henchcliffe; Susan A. Gauthier; Ping C. Chiao; Bin He; Anastasia Nikolopoulou; Jean Logan; Jenna M. Sullivan; Kane O. Pryor; Jacob Hesterman; Paresh J. Kothari; Shankar Vallabhajosula
Neuroinflammation has been implicated in the pathophysiology of Parkinsons disease (PD), which might be influenced by successful neuroprotective drugs. The uptake of [11C](R)‐PK11195 (PK) is often considered to be a proxy for neuroinflammation, and can be quantified using the Logan graphical method with an image‐derived blood input function, or the Logan reference tissue model using automated reference region extraction. The purposes of this study were (1) to assess whether these noninvasive image analysis methods can discriminate between patients with PD and healthy volunteers (HVs), and (2) to establish the effect size that would be required to distinguish true drug‐induced changes from system variance in longitudinal trials.
Journal of Neuroimaging | 2018
Yeona Kang; Claire Henchcliffe; Ajay Verma; Shankar Vallabhajosula; Bin He; Paresh J. Kothari; Kane O. Pryor; P. David Mozley
Dopamine and glutamate reciprocally regulate each other in some of the neurocircuits affected by Parkinsons disease (PD). The objective of this pilot study was to explore relationships between these neurotransmitter systems with positron emission tomography.
The Journal of Nuclear Medicine | 2016
Yeona Kang; David Schlyer; Ajay Verma; Claire Henchcliffe; Bin He; Paresh Kothari; Ping Chiao; Jean Logan; Shankar Vallabhajosula; P. David Mozley
The Journal of Nuclear Medicine | 2016
Paresh J. Kothari; Yeona Kang; Monika Gruca; Alejandro Amor-Coarasa; James Kelly; J. David Warren; John W. Babich; Wenchao Qu
Neurology | 2016
Claire Henchcliffe; James Carter; Yeona Kang; John W. Babich; Lisa D. Ravdin; Stephen Gollomp; Alfonso Fasano; Natalie Hellmers; Cynthia McRae
Neurology | 2016
Ulrike W. Kaunzner; Yeona Kang; Elizabeth Monahan; Paresh J. Kothari; Nancy Nealon; Jai Perumal; Claire Riley; Stephen Newman; Timothy Vartanian; Shankar Vallabhajosula; Susan A. Gauthier