Shin Lei Peng
University of Texas Southwestern Medical Center
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Publication
Featured researches published by Shin Lei Peng.
NeuroImage | 2014
Shin Lei Peng; Julie A. Dumas; Denise C. Park; Peiying Liu; Francesca M. Filbey; Carrie J. McAdams; Amy E. Pinkham; Bryon Adinoff; Rong Zhang; Hanzhang Lu
With age, many aspects of the brain structure undergo a pronounced decline, yet individuals generally function well until advanced old age. There appear to be several compensatory mechanisms in brain aging, but their precise nature is not well characterized. Here we provide evidence that the brain of older adults expends more energy when compared to younger adults, as manifested by an age-related increase (P=0.03) in cerebral metabolic rate of oxygen (CMRO2) (N=118, men=56, ages 18 to 74). We further showed that, before the mean menopausal age of 51years old, female and male groups have similar rates of CMRO2 increase (P=0.015) and there was no interaction between age and sex effects (P=0.85). However, when using data from the entire age range, women have a slower rate of CMRO2 change when compared to men (P<0.001 for age×sex interaction term). Thus, menopause and estrogen level may have played a role in this sex difference. Our data also revealed a possible circadian rhythm of CMRO2 in that brain metabolic rate is greater at noon than in the morning (P=0.02). This study reveals a potential neurobiological mechanism for age-related compensation in brain function and also suggests a sex-difference in its temporal pattern.
Magnetic Resonance in Medicine | 2016
Peiying Liu; Lina F. Chalak; Lisa C. Krishnamurthy; Imran N. Mir; Shin Lei Peng; Hao Huang; Hanzhang Lu
Knowledge of blood T1 and T2 is of major importance in many applications of MRI in neonates. However, to date, there has not been a systematic study to examine neonatal blood T1/T2 relaxometry. This present study aims to investigate this topic.
NMR in Biomedicine | 2013
Shin Lei Peng; Chih Feng Chen; Ho Ling Liu; Chun Chung Lui; Yu Jie Huang; Tsung Han Lee; Chiung Chih Chang; Fu-Nien Wang
Dynamic contrast‐enhanced MRI (DCE MRI) has been used to study tumor response to treatment for many years. In this study, the modified full width at half‐maximum (mFWHM), calculated from the wash‐in slope histogram, is proposed as a parameter for the evaluation of changes in tumor heterogeneity which respond to radiotherapy. Twenty‐five patients with brain tumors were evaluated and divided into the nonresponder group (n = 11) and the responder group (n = 14) according to the Response Evaluation Criteria in Solid Tumors (RECIST). All selected tumors were evaluated by mFWHM ratios of post‐ to pre‐therapy (the ratio was defined as the therapeutic mFWHM ratio, TMR). The changes in kurtosis of the histograms and the averaged Ktrans within a tumor were also calculated for comparison. The receiver operating characteristic analysis and Kaplan–Meier curves were used to examine the diagnosis ability. The TMR values were significantly higher in nonresponders than in responders (p < 0.001). When compared with the other two parameters, the proposed method also demonstrated better sensitivity and specificity. When adopting the TMR for the estimation of prognosis after therapy, there was a significant difference between the population survival curves. In conclusion, the derived mFWHM reflects tumor heterogeneity, and the ability to depict patient survival probability from TMR corresponds well with that from RECIST. The results reveal that, in brain tumors, progression may be exhibited not only by tumor size, but also by tumor heterogeneity. Copyright
Journal of Magnetic Resonance Imaging | 2015
Shin Lei Peng; Pan Su; Fu-Nien Wang; Yan Cao; Rong Zhang; Hanzhang Lu; Peiying Liu
Whole‐brain cerebral blood flow (CBF) measured by phase‐contrast MRI (PC‐MRI) provides an important index for brain function. This work aimed to optimize the PC‐MRI imaging protocol for accurate CBF measurements.
Scientific Reports | 2016
Sheng-Min Huang; Yi-Ling Wu; Shin Lei Peng; Hsu-Hsia Peng; Teng-Yi Huang; Kung-Chu Ho; Fu-Nien Wang
Genetic divergences among mammalian strains are presented phenotypically in various aspects of physical appearance such as body shape and facial features. Yet how genetic diversity is expressed in brain function still remains unclear. Functional connectivity has been shown to be a valuable approach in characterizing the relationship between brain functions and behaviors. Alterations in the brain default mode network (DMN) have been found in human neuropsychological disorders. In this study we selected the spontaneously hypertensive rat (SHR) and the Wistar Kyoto rat (WKY), two inbred rat strains with close genetic origins, to investigate variations in the DMN. Our results showed that the major DMN differences are the activities in hippocampal area and caudate putamen region. This may be correlated to the hyperactive behavior of the SHR strain. Advanced animal model studies on variations in the DMN may have potential to shed new light on translational medicine, especially with regard to neuropsychological disorders.
Journal of Cerebral Blood Flow and Metabolism | 2017
Shin Lei Peng; Harshan Ravi; Min Sheng; Binu P. Thomas; Hanzhang Lu
Hypercapnia challenge (e.g. inhalation of CO2) has been used in calibrated fMRI as well as in the mapping of vascular reactivity in cerebrovascular diseases. An important assumption underlying these measurements is that CO2 is a pure vascular challenge but does not alter neural activity. However, recent reports have suggested that CO2 inhalation may suppress neural activity and brain metabolic rate. Therefore, the goal of this study is to propose and test a gas challenge that is truly “iso-metabolic,” by adding a hypoxic component to the hypercapnic challenge, since hypoxia has been shown to enhance cerebral metabolic rate of oxygen (CMRO2). Measurement of global CMRO2 under various gas challenge conditions revealed that, while hypercapnia (P = 0.002) and hypoxia (P = 0.002) individually altered CMRO2 (by −7.6 ± 1.7% and 16.7 ± 4.1%, respectively), inhalation of hypercapnic-hypoxia gas (5% CO2/13% O2) did not change brain metabolism (CMRO2 change: 1.5 ± 3.9%, P = 0.92). Moreover, cerebral blood flow response to the hypercapnic-hypoxia challenge (in terms of % change per mmHg CO2 change) was even greater than that to hypercapnia alone (P = 0.007). Findings in this study suggest that hypercapnic-hypoxia gas challenge may be a useful maneuver in physiological MRI as it preserves vasodilatory response yet does not alter brain metabolism.
Journal of Magnetic Resonance Imaging | 2016
Harshan Ravi; Binu P. Thomas; Shin Lei Peng; Hanli Liu; Hanzhang Lu
To devise an improved blood‐oxygen‐level‐dependent (BOLD) imaging protocol for cerebrovascular reactivity (CVR) measurement that can remove a known artifact of negative values.
Journal of Neuroimaging | 2016
Yang Yu; Dong-Hoon Lee; Shin Lei Peng; Kai Zhang; Yi Zhang; Shanshan Jiang; Xuna Zhao; Hye Young Heo; Xiangyang Wang; Min Chen; Hanzhang Lu; Haiyun Li; Jinyuan Zhou
Multimodality magnetic resonance imaging (MRI) can provide complementary information in the assessment of brain tumors. We aimed to segment tumor in amide proton transfer–weighted (APTw) images and to investigate multiparametric MRI biomarkers for the assessment of glioma response to radiotherapy. For tumor extraction, we evaluated a semiautomated segmentation method based on region of interest (ROI) results by comparing it with the manual segmentation method.
NMR in Biomedicine | 2013
Fu-Nien Wang; Shin Lei Peng; Chin-Tien Lu; Hsu-Hsia Peng; Tzu-Chen Yeh
Deuterium oxide (D2O), which is commercially available and nonradioactive, was proposed as a perfusion tracer before the clinical usage of conventional gadolinium‐based MRI contrast agents. However, the sensitivity of direct deuterium detection is the major challenge for its application. In this study, we propose a contrast‐enhanced strategy to indirectly trace administered D2O by monitoring the signal attenuation of 1H MRI. Experiments on D2O concentration phantoms and in vivo rat brains were conducted to prove the concept of the proposed contrast mechanism. An average maximum signal drop ratio of 5.25 ± 0.91% was detected on 1H MR images of rat brains with 2 mL of D2O administered per 100 g of body weight. As a diffusible tracer for perfusion, D2O infusion is a practicable method for the assessment of tissue perfusion and has the potential to provide different information from gadolinium‐based contrast agents, which have limited permeability for blood vessels. Furthermore, the observed negative relaxivities of D2O reveal the 1H–D exchange effect. Therefore, applications of perfusion MRI with D2O as a contrast agent are worthy of further investigation. Copyright
NMR in Biomedicine | 2016
Harshan Ravi; Peiying Liu; Shin Lei Peng; Hanli Liu; Hanzhang Lu
Hemodynamic mapping using gas inhalation has received increasing interest in recent years. Cerebrovascular reactivity (CVR), which reflects the ability of the brain vasculature to dilate in response to a vasoactive stimulus, can be measured by CO2 inhalation with continuous acquisition of blood oxygen level‐dependent (BOLD) magnetic resonance images. Cerebral blood volume (CBV) can be measured by O2 inhalation. These hemodynamic mapping methods are appealing because of their absence of gadolinium contrast agent, their ability to assess both baseline perfusion and vascular reserve, and their utility in calibrating the functional magnetic resonance imaging (fMRI) signal. However, like other functional and physiological indices, a major drawback of these measurements is their poor sensitivity and reliability. Simultaneous multi‐slice echo planar imaging (SMS EPI) is a fast imaging technology that allows the excitation and acquisition of multiple two‐dimensional slices simultaneously, and has been shown to enhance the sensitivity of several MRI applications. To our knowledge, the benefit of SMS in gas inhalation imaging has not been investigated. In this work, we compared the sensitivity of CO2 and O2 inhalation data collected using SMS factor 2 (SMS2) and SMS factor 3 (SMS3) with those collected using conventional EPI (SMS1). We showed that the sensitivity of SMS scans was significantly (p = 0.01) higher than that of conventional EPI, although no difference was found between SMS2 and SMS3 (p = 0.3). On a voxel‐wise level, approximately 20–30% of voxels in the brain showed a significant enhancement in sensitivity when using SMS compared with conventional EPI, with other voxels showing an increase, but not reaching statistical significance. When using SMS, the scan duration can be reduced by half, whilst maintaining the sensitivity of conventional EPI. The availability of a sensitive acquisition technique can further enhance the potential of gas inhalation MRI in clinical applications.