DR.Kewei Chen

“The reason I was invited to join the board of this non-profit organization with my own volunteered time is my passion and research interest in the cure, delay and even possibly prevent the terrible Alzheimer’s disease (AD). As a Sr. Scientist, Sr. Bio-mathematician and the Director of Computational Image Analysis and Research lab at Banner Alzheimer’s Institute, I have been conducting research on AD, its risks and preventions for years. I believe traditional Chinese medicine can play an important part in our fight against AD.  And I am glad to know that one of the Emed research areas is AD and to learn very positive effects of TCM on a number of cases at eMed. I view the continued research will be the means to furtherimprove the treatments, to demonstrate the long-terms effects, and more importantly, to use rigorous scientific approaches to document these positive effects objectively. These studies apparently need to beconducted with careful plan and design and especially with funding and supports from the community the clinic intends to serve. I, as a scientist, will help to make sure that eMed carries out its practices and research with rigor and integrity. And it needs your supports to make these researches realized, in the hope that the benefits some of you enjoyed will be shared by others”

Dr. Chen is a senior scientist and senior biomathematician at Banner Alzheimer’s Institute and Banner Good Samaritan PET center. He got his Ph.D. in Biomathematics and Biology, and his Master’s degree in Biomathematics from University of California, Los Angeles. He also obtained his Master’s and Bachelor’s degrees in Mathematics from Beijing Normal University.

” We feel confident that Chinese medicine (CM) will play an important role in the fight against various diseases including Alzheimer’s disease (AD). We would like to help Dr. Xiao and her team for the use of scientific methods to evaluate the CM efficacy in possibly curing, delaying or even preventing AD.” — Kewei Chen

Partial List of Published Journal Papers (up to 8/2014)

  1. Napatkamon Ayutyanont, Jessica B S Langbaum, Suzanne B Hendrix, Kewei Chen, Adam S Fleisher, Michel Friesenhahn, Michael Ward, Camilo Aguirre, Natalia Acosta-Baena, Lucìa Madrigal, Claudia Muñoz, Victoria Tirado, Sonia Moreno, Pierre N Tariot, Francisco Lopera, Eric M Reiman, The alzheimer’s prevention initiative composite cognitive test score: sample size estimates for the evaluation of preclinical alzheimer’s disease treatments in presenilin 1 E280A mutation carriers, The Journal of Clinical Psychiatry (Impact Factor: 5.81). 04/2014; DOI:10.4088/JCP.13m08927
  2. Jon B. Toledo, Michael W. Weiner, David A. Wolk, Xiao Da, Kewei Chen, Steven E Arnold, William Jagust, Clifford Jack, Eric M. Reiman, Christos Davatzikosd, Leslie M. Shaw, and John Q. Trojanowski*, for the Alzheimer’s Disease Neuroimaging Initiative, Neuronal Injury Biomarkers and Prognosis in ADNI Subjects with Normal Cognition, accepted by Acta Neuropath Comnuications, 2014
  3. Jessica B Langbaum, Suzanne B Hendrix, Napatkamon Ayutyanont, Kewei Chen, Adam S Fleisher, Raj C Shah, Lisa L Barnes, David A Bennett, Pierre N Tariot, Eric M Reiman, An empirically derived composite cognitive test score with improved power to track and evaluate treatments for preclinical Alzheimer’s disease, Alzheimer’s & dementia: the journal of the Alzheimer’s Association (Impact Factor: 14.48). 04/2014; DOI:10.1016/j.jalz.2014.02.002
  4. Xuan Sun, Ying Liang, Jun Wang , Kewei Chen, Yaojing Chen, Xiaoqing Zhou, Jianjun Jia, and Zhanjun Zhang, Early frontal structural and functional changes in mild white matter lesions relevant to cognitive decline, JAD, accepted 2013
  5. Jon B. Toledo, Nigel J. Cairns, Xiao Da, Kewei Chen, Deborah Carter, Adam Fleisher , Erin Householder , Napatkamon Ayutyanont, Auttawut Roontiva, Robert J Bauer, Paul Eisen, Leslie M. Shawa Christos Davatzikos, Michael W. Weiner, Eric M. Reiman, John C. Morris and John Q. Trojanowski, Clinical and Multimodal Biomarker Correlates of ADNI Neuropathological Findings, accepted by Acta Neuropathologica Communications, 2013
  6. Jason Fitzgerald Smith, Allen R Braun, Gene E Alexander, Kewei Chen, Barry Horwitz, Separating lexical-semantic access from other mnemonic processes in picture-name verification, accepted by Frontiers in Language Sciences, 2013
  7. Schlögl M, Piaggi P, Thiyyagura P, Reiman EM, Chen K, Lutrin C, Krakoff J, Thearle MS. Overfeeding over 24 hours does not activate brown adipose tissue in humans, accepted by The Journal of Clinical Endocrinology & Metabolism, 2013
  8. Wang Y, Chen K, Yao L, Jin Z, Guo X, et al. (2013) Structural Interactions within the Default Mode Network Identified by Bayesian Network Analysis in Alzheimer’s disease. PLoS ONE 8(8): e74070. doi:10.1371/journal.pone. 0074070
  9. Douglas C. Dean III*, Beth A. Jerskey*, Kewei Chen*, Hillary Protas, Pradeep Thiyyagura, Auttawat Roontiva, J. O’Muircheartaigh, H. Dirks, N. Waskiewicz, K. Lehman, Ashley L. Siniard, Mari N. Turk, Xue Hua, Sarah K. Madsen, Paul M. Thompson, Adam S. Fleisher, Matthew J. Huentelman, Sean C. L. DeoniŤ, and Eric M. Reiman, Brain differences in infants at differential genetic risk for Late-onset alzheimer’s disease: a cross-sectional imaging study, accepted by JAMA neurology, 2013 (PubMed PMID: 24276092; PubMed Central PMCID: PMC4056558.
  10. Yunlong Zan, Rostyslav Boutchko, Qiu Huang, Biao Li, Kewei Chen and Grant T. Gullberg, Fast Direct Estimation of the Blood Input Function and Myocardial Time Activity Curve from Dynamic SPECT Projections via Reduction in Spatial and Temporal Dimensions, accepted by Medical Physics, 2013
  11. Lili Zeng, Yongting Wang, Jianrong Liu, Ling Wang, Suiqing Weng, Kewei Chen, Edward F. Domino, Guo-Yuan Yang, Pro-inflammatory cytokine network in peripheral inflammation response to cerebral ischemia, Neuroscience Letters, in press 2013
  12. J. Langbaum, A. Fleisher, K. Chen, N. Ayutyanont, F. Lopera, Y. Quiroz, R. Caselli, T. Tariot, E. Reiman, Usering in the study and treatment of preclinical Alzheimer disease, Nature Reviews Neurology, 2013
  13. Frank Schraml, Kewei Chen*, Napatkamon Ayutyanont, Roontiva Auttawut, Jessica B.S. Langbaum, Wendy Lee, Xiaofen Liu, Dan Bandy, Stephanie Q. Reeder, Gene E. Alexander, Richard J. Caselli, Adam S. Fleisher, Eric M. Reiman and the Alzheimer’s Disease Neuroimaging Initiative, Association between an Alzheimer’s disease-related index and APOE e4 gene dose, accepted by PLOS-ONE, 2013
  14. Jason Fitzgerald Smith, Kewei Chen, Ajay S. Pillai, Barry Horwitz, Identifying effective connectivity parameters in simulated fMRI: a direct comparison of switching linear dynamic system, stochastic dynamic causal, and multivariate autoregressive models, accepted by Frontiers in Brain Imaging Methods, 2013.
  15. Katarzyna Adamczuk; An-Sofie De Weer; Kewei Chen; Natalie Nelissen; Kristel Sleegers; Karolien Bettens; Christine Van Broeckhoven; Mathieu Vandenbulcke; Pradeep Thiyyagura; Patrick Dupont; Koen Van Laere; Eric Reiman and Rik Vandenberghe: Polymorphism of Brain Derived Neurotrophic Factor influences <beta> amyloid load in cognitively intact Apolipoprotein E <epsilon>4 carriers, accepted by Neuroimage: Clinical, 2013 (NICL-13-6R2)
  16. He Li, Ying Liang, Kewei Chen, Xin Li, Ni Shu, Zhanjun Zhang, Yongyan Wang, Different patterns of white matter disruption among amnestic MCI subtypes: relationship with neuropsychological performance (12-2023R1), accepted by JAD (2013)
  17. Guo XJ, Chen KW, Zhang YM, Wang Y, Yao L. Regional covariance patterns of gray matter alterations in Alzheimer’s disease and its replicability evaluation. J. Magn. Reson. Imaging. 2013. (Accepted)。
  18. Napatkamon Ayutyanont, Kewei Chen, Adam S. Fleisher, Jessica B.S. Langbaum, Cole Reschke, Stephanie A. Parks, Wendy Lee, Xiaofen Liu, Hillary Protas, Dan Bandy, Gene E. Alexander, Zhongdan Huan, Li Kong, Kelvin K. Leung, Paul M. Thompson, Norman L. Foster, Danielle J. Harvey, Laurel Beckett, Mony J. de Leon, Robert A. Koeppe, William J. Jagust, Michael W. Weiner, and Eric M. Reiman, Twelve-month Whole-Brain Atrophy Rates and Estimated Power to Detect change in Alzheimer’s Disease in Multi-center Trials Using Iterative Principal Component Analysis: Preliminary Findings from the Alzheimer’s Disease Neuroimaging Initiative (BSP-NBE-2013-11), accepted by Neuroscience and Biomedical Engineering (NBE), 2013
  19. Joshua M. Shulman, Kewei Chen, Brendan T. Keenan, Lori B. Chibnik, AdamFleisher, Pradeep Thiyyagura, Auttawut Roontive, Cristin McCabe, Nikolaos A. Patsopoulos, Jason J. Corneveaux, Lei Yu, Matthew J. Huentelman, Alzheimer’s Disease Neuroimaging Initiative, Denis A. Evans, Julie A. Schneider, Eric M. Reiman, Philip L. De Jager, David A. Bennett,Genetic susceptibility for Alzheimer’s disease neuritic plaque pathology. Accepted by JAMA, Neurology, 2013 (NEU12-1728R)
  20. Cynthia M. Stonnington, Kewei Chen, Wendy Lee, Dona E.C. Locke, Amylou C. Dueck, Xiaofen Liu, Auttawut Roontiva, Adam S. Fleisher, Richard J. Caselli, Eric M. Reiman, Fibrillar Amyloid Correlates of Preclinical Cognitive Decline, accepted by Alzheimer’s & Dementia, 2013
  21. Christine M. Burns, Kewei Chen, Alfred W. Kaszniak, Wendy Lee, Gene E. Alexander, Daniel Bandy, Adam S. Fleisher, Richard J. Caselli, and Eric M. Reiman, Higher serum glucose levels are associated with cerebral hypometabolism in Alzheimer’s regions, accepted by Neurology, 2013 (MS ID#: 2012/464792)
  22. Richard J. Caselli, Kewei Chen, Dona E.C. Locke, Wendy Lee, Auttawut Roontiva, Dan Bandy, Adam S. Fleisher, and Eric M. Reiman, Subjective Cognitive Decline: Self and Informant Comparisons, accepted by Alzheimer’s & Dementia, 2013
  23. Tao Wang, Qiu Huang, Eric M. Reiman, Kewei Chen, Xia Li, Guanjun Li, Zhiguang Lin, Chunbo Li and Shifu Xiao: EFFECTS OF MEMANTINE ON CLINICAL RATINGS, FDG PET MEASUREMENTS AND CSF ASSAYS IN PATIENTS WITH MODERATE TO SEVERE ALZHEIMER’S DEMENTIA: A 24-WEEK RANDOMIZED CLINICAL TRIAL, Journal of Clinical Psychopharmacology (manuscript number: JCP-D-12-00196R1), Acceped 12/2012
  24. Xiaojuan Guo, Yuan Han, Kewei Chen, Yan Wang, Li Yao, Mapping joint grey and white matter reductions in Alzheimer’s disease using joint independent component analysis, Neuroscience Letters (impact factor: 2.11). 11/2012; DOI:10.1016/j.neulet.2012.10.038 531 (2012), pp136-141.
  25. Xia Wu, Juan Li, Napatkamon Ayutyanont, Hillary Protas, William Jagust, Adam Fleisher, Li Yao, Kewei Chen, TCBB-2011-10-0274.R2, “The Receiver Operational Characteristic for Binary Classification with Multiple Indices and Its Application to the Neuroimaging Study of Alzheimer’s disease, accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012
  26. Chengjie Xiong, Gerald van Belle, Kewei Chen, J. Philip Miller, Lili Tian, Jingqin Luo, Feng Gao, Yan Yan, Ling Chen, John C Morris, Paul Crane, Combining Multiple Markers to Improve the Longitudinal Rate of Progression-Application to Clinical Trials on the Early Stage of Alzheimer’s Disease, accepted by Statistics in Biopharmaceutical Research, 2012
  27. Ryan SmithKewei ChenLeslie BaxterCarolyn FortRichard D Lane, Antidepressant effects of sertraline associated with volume increases in dorsolateral prefrontal cortex, Journal of affective disorders, 2012, 09/2012; DOI:10.1016/j.jad.2012.07.029
  28. Adam S Fleisher; Kewei Chen; Yakeel T Quiroz; Laura J Jakimovich; Madelyn Gutierrez Gomez; Carolyn M Langois; Jessica B Langbaum; Napatkamon Ayutyanont; Auttawut Roontiva; Pradeep Thiyyagura; Wendy Lee; Hua Mo; Liliana Lopez; Sonia Moreno; Natalia Acosta-Baena; Margarita Giraldo; Gloria Garcia; Rebecca A Reiman; Matthew J Huentelman; Keneth S Kosik; Pierre N Tariot; Francisco Loper; Eric M Reiman, Age-associated fibrillar amyloid-β deposition in the presenilin 1 E280A autosomal-dominant Alzheimer’s disease kindred: a cross-sectional study, Lancet Neurology, 2012 11(12): 1057-1065
  29. Eric M. Reiman, Yakeel T. Quiroz, Adam S. Fleisher, Kewei Chen, Carlos Velez-Pardo, Marlene Jimenez-Del-Rio, Anne M. Fagan, Aarti R. Shah, Sergio Alvarez, Andrés Arbelaez, Margarita Giraldo, Natalia Acosta-Baena, Reisa A. Sperling, Brad Dickerson, Chantal E. Stern, Victoria Tirado, Claudia Munoz, Rebecca A. Reiman, Matthew J. Huentelman, Gene E. Alexander, Jessica B.S. Langbaum, Kenneth S. Kosik, Pierre N. Tariot, and Francisco Lopera, BRAIN ABNORMALITIES IN YOUNG ADULTS AT GENETIC RISK FOR AUTOSOMAL DOMINANT ALZHEIMER’S DISEASE: A CROSS-SECTIONAL STUDY, Lancet Neurology, accepted 2012
  30. Zhiying LongRui LiXiaotong WenZhen JinKewei ChenLi Yao Separating 4D multi-task fMRI data of multiple subjects by independent component analysis with projection. State Key Lab of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.Magnetic Resonance Imaging 2012,
  31. Alex E. Roher; Josef P. Debbins; Michael Malek-Ahmadi; Kewei Chen; James G. Pipe; Sharmeen Maze; Christine Belden; Chera L. Maarouf; Pradeep Thiyyagura; Hua Mo; Jesse M. Hunter; Tyler A. Kokjohn; Douglas G. Walker; Jane C. Kruchowsky; Marek Belohlavek; Marwan N. Sabbagh; Thomas G. Beach,Cerebral blood flow in Alzheimer’s disease, accepted by Vascular Health and Risk Management, 2012
  32. Christopher Michael Weise, Pradeep Thiyyagura; Eric M Reiman; Kewei Chen; Jonathan Krakoff.Fat-Free Body Mass but not Fat Mass is Associated with Reduced Gray Matter Volume of Cortical Brain Regions Implicated in Autonomic and Homeostatic Regulation, accepted by Neuroimage, 2012 (NIMG-12-993R2)
  33. Hillary D. Protas, Kewei Chen, Jessica B.S. Langbaum, Adam S. Fleisher, Gene E Alexander, Wendy Lee, Daniel Bandy, Mony J de Leon,, Lisa Mosconi,, Shannon Buckley, Diana Truran-Sacrey, Norbert Schuff, Michael W. Weiner, Richard J.Caselli, Eric M. Reiman, MD, Posterior Cingulate Glucose Metabolism, Hippocampal Glucose Metabolism and Hippocampal Volume in Cognitively Normal, Late-Middle Age Persons at Three Levels of Genetic Risk for Alzheimer’s Disease, 2012, accepted by Archives of Neurology (which will become JAMA Neurology as of January 2013).
  34. Shuai Huang, Jing Li, Kewei Chen, Teresa Wu, Jieping Ye, Adam Flesheir and Eric Reiman (author order need correction), A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identificaton from High-Dimensional data, IEEE Transactions onf Pattern Analysis and Machine Intelligence, accepted, 2012
  35. Rui Li, Kewei Chen, Adam S. Fleisher, Eric M. Reiman, Li Yao, Xia Wu, Alterations of directional connectivity among resting-state networks in Alzheimer’s disease, American Journal of Neuroradiology, accepted 2012
  36. Adam Fleisher, Kewei Chen, Xiaofen Liu, Napatkamon Ayutyanont, Auttawut Roontiva, Pradeep Thiyyagura, Hillary Protas, Abhinay D Joshi, Marwan Sabbagh, Carl H Sadowsky, Reisa A Sperling, Christopher M Clark, Mark A Mintun, Michael J Pontecorvo, Edward E Coleman, P. Murali Doraiswamy, Keith A Johnson, MD; Alan P Carpenter, Daniel M Skovronsky, Eric M Reiman, APOE4 and Age Effects on Florbetapir PET in Healthy Aging and Alzheimer Disease, accepted by Neurobiology of Aging, 2012
  37. Juan Li, Rui Li, Kewei Chen, Li Yao, Xia Wu, Temporal and instantaneous connectivity of default mode network estimated using Gaussian Bayesian Network frameworks, Neuroscience Letters, 513 (2012) 62-66
  38. Gene E. Alexander, Kaitlin L. Bergfield, Kewei Chen, Eric M. Reiman, Krista D. Hanson, Lan Lin, Daniel Bandy, Richard J. Caselli, James R. Moeller, Gray matter network associated with risk for Alzheimer’s disease in young to middle-aged adults, Neurobiology of Aging (2012) (in press)
  39. Kewei Chen, Napatkamon Ayutyanont, Jessica Langbaum, Adam S Fleisher, Cole Reschke, Wendy Lee, Xiaofen Liu, Gene E Alexander, Dan Bandy, Richard J Caselli and Eric M Reiman, Correlations between FDG PET glucose uptake-MRI gray matter volume scores and apolipoprotein E4 gene dose in cognitively normal adults: a cross-validation study using voxel-based multi-modal partial least squares, accepted by Neuroimage, 2012 (2/5/2012)
  40. Jason Fitzgerald Smith, Ajay S Pillai, Kewei Chen, Barry Horwitz: Effective Connectivity Modeling for fMRI: Six Issues and Possible Solutions Using Linear Dynamic Systems, accepted by Frontiers in Systems Neuroscience, 2011
  41. Anna Caroli, Annapaola Prestia, Kewei Chen, (Reiman, Eric; William Jagust; Karl Herholz; Nobili Flavio Mariano; slandau@berkeley.edu; cindee@berkeley.edu; Chen, Kewei; Ayutyanont, Napatkamon; Summary metrics to assess Alzheimer’s disease-related hypometabolic pattern with FDG-PET: head-to-head comparison, JNUMED/2011/094946, accepted by JNM, 2011
  42. Christopher Michael Weise; Pradeep Thiyyagura; Eric M Reiman; Kewei Chen; Jonathan Krakoff, Postprandial Plasma PYY Concentrations are Associated with Increased Regional Gray Matter Volume and rCBF Declines in Caudate Nuclei – a combined MRI and H215O PET study. Accepted by Neuroimage, 2011
  43. Shan Zhou, Kewei Chen, Eric M. Reiman, De-min Li, Baoci Shan, A method of generating image derived input function in quantitative 18F-FDG PET study based on the monotonicity of the input and output function curve, accepted by Nuclear Medicine Communications, 2011 (NMC-11-243R2)
  44. Binbin Nie, Kewei Chen, Shujun Zhao, Junhua Liu, Xiaochun Gu, Qunli Yao, Jiaojie Hui, Zhijun Zhang, Gaojun Teng, Chunjie Zhao, Baoci Shan,A rat brain MRI template with digital stereotaxic atlas of fine anatomical delineations in Paxinos space and its automated application in voxel-wise analysis, accepted by Human Brain Mapping, HBM-11-0619.R1, 2011
  45. Reiman EM, Langbaum JBS, Fleisher AS, Caselli RJ, Chen K, Ayutyanont N, Quiroz YT, Kosik KS, Lopera F, Tariot PN. Alzheimer’s Prevention Initiative: a plan to accelerate the evaluation of presymptomatic treatments. Journal of Alzheimer’s Disease, 2011;25(Suppl 3):293-301. (the same as the book chapter of Reiman EM, Langbaum JBS, Fleisher AS, Caselli RJ, Chen K, Ayutyanont N, Quiroz YT, Kosik KS, Lopera F, Tariot PN. Alzheimer’s Prevention Initiative: a plan to accelerate the evaluation of presymptomatic treatments. In Ashford, J.W., Rosen, A., Adamson, M., Bayley, P., Sabri, O., Furst, A., Black, S.E, Weiner, M. (Eds). Handbook of Imaging the Alzheimer Brain, Volume 2, Advances in Alzheimer’s Disease. IOS Press, Amsterdam;2011: 589 – 597.)
  46. Miao X, Wu X, Li R, Chen K, Yao L, Altered Connectivity Pattern of Hubs in Default-Mode Network with Alzheimer’s Disease: An Granger Causality Modeling Approach, PLoS ONE6(10): e25546. doi:10.1371/journal.pone.0025546, 2011
  47. Stefan W, Chen K, Guo H, Renaut R, Roudenko S, Wavelet-Based De-noising of Positron Emission Tomography Scans, Jounral of Scientific Computing (accepted), 2011
  48. Huang, S., Li, J., Chen, K., Wu, T., Ye, J., Wu, X., and Li, Y. A Transfer Learning Approach for Network Modeling. Accepted by IIE Transactions.
  49. Fleisher A, Chen K, Liu X, Roontiva A, Thiyyagura P, Ayutyanont N, Joshi A, Clark C, Mintun M, Pontecorvo M, Doraiswamy P, Johnson K, Skovronsky D, and Reiman, EM Florbetapir-PET imaging of cortical amyloid in Alzheimer’s disease and Mild Cognitive Impairment.
  50. Zhou S, Chen K, Reiman EM, Li D, and Shan B, A method of generating image-derived input function in quantitative 18F-FDG PET study based on the shape of the input function curve, accepted by Nuclear Medicine Communications, DOI: 10.1038/jcbfm.2011.107
  51. Paolo Zanotti-Fregonara, Chen K, Liow J, Fujita M, Innis R, Image derived input function for neuroreceptor PET studies: many challenges and few opportunities, accepted by JCBFM (JCBFM-0158-11-REV), DOI: 10.1038/jcbfm.2011.107
  52. Jessica B.S. Langbaum, Kewei Chen, Lenore J. Launer, Adam S. Fleisher, Wendy Lee, Xiaofen Liu, Hillary D. Protas, Stephanie A. Reeder, Daniel Bandy, Meixiang Yu, Richard J. Caselli, Eric M. Reiman. Blood pressure is associated with higher brain amyloid burden and lower glucose metabolism in healthy late middle-age persons. Neurobiology of Aging, in press. 2011. PubMed ID, (PMID),: 21821316
  53. Huang S, Li J, Ye J, Fleisher A, Chen K, Wu T and Reiman EM, 2011, “Brain Effective Connectivity Modeling for Alzheimer’s Disease by Sparse Gaussian Bayesian Network,” Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (paper acceptance rate 17.5%), Aug 21 – 24, 2011, San Diego, USA. (This is actually a conference proceeding paper, but in their field this is ranked much higher than regular journal paper). 2011. ISBN: 978-1-4503-0813-7. DOI: 10.1145/2020408.2020562. pgs 931-939.
  54. Huang S, Li J, Ye J, Wu T, Chen K, Fleisher A and Reiman EM, Identifying Alzheimer’s Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis. Proceedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS), December 13-15, 2011, Granada, Spain (conference paper, but 4.8% acceptance rate, and more prestigious than usual journal paper in their field). (Online PDF)
  55. Ye J, Wu T, and Li J, and Chen K, Machine Learning Approaches for the Neuroimaging Study of Alzheimer’s Disease. IEEE Computer (accepted), 2011. DOI: 10.1109/MC.2011.117. Vol. 44(4). Pg 99-101
  56. Li R, Chen K, Fleisher A, Reiman EM, Yao L, Wu X, Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study, accepted by Neuroimage, 2011 (NIMG-10-2565R1). PMID: 21396456. DOI: 10.1016/j.neuroimage.2011.03.010. Vol. 56(3). Pgs 1035-1042
  57. Hua X, Gutman B, Boyle C, Rajagopalan P, Leow A, Yanovsky I, Kumar A, Toga A, Jack Jr C, Schuff N, Alexander G, Chen K, Reiman EM, Weiner M, Thompson P and the Alzheimer’s Disease Neuroimaging Initiative, Accurate Measurement Of Brain Changes In Longitudinal MRI Scans Using Tensor-Based Morphometry (Reply to Thompson and Holland, 2011), accepted 2011 Neuroimage. doi:10.1016/j.neuroimage.2011.01.079
  58. Chen K, Ayutyanont N, Langbaum J, Fleisher A, Reschke C, Lee W, Liu X, Bandy D, Alexander G, Thompson P, Shaw L, Trojanowski J, Jack, Jr. C, Landau S, Foster N, Harvey D, Weiner M, Koeppe R, Jagust W, Reiman EM, the Alzheimer’s Disease Neuroimaging Initiative, Characterizing Alzheimer’s Disease using a Hypometabolic Convergence Index, accepted by Neuroimage (NIMG-10-2332), 2011 (http://dx.doi.org/10.1016/j.neuroimage.2011.01.049)
  59. Li R, Wu X, Fleisher A, Reiman EM, Chen L, Yao L, Attention-related networks in Alzheimer’s disease: A resting functional MRI study, accepted by Human Brain Mapping (2011). DOI: 10.1002/hbm.21269. PMID: 21538702.
  60. Sabbagh M, Fleisher A, Chen K, Rogers J, Berk C, Reiman EM, Pontecorvo M, Mintun M, Skrovonsky D, Jacobson S, Sue L, Liebsack C, Charney A, Cole L, Belden C, Beach T, Positron Emission Tomography and Neuropathological Estimates of Fibrillar Amyloid-β Abundance in a Patient with Down Syndrome and Alzheimer’s Dementia, accepted by Archives of Neurology, 2010.
  61. Liang W, Chen K, Lee W, Sidhar K, Corneveaux J, Allen A, Myers A, Villa S, Meechoovet B, Pruzin J, Bandy D, Fleisher A, Langbaum J, Huentelman M, Jensen, K Dunckley T, Caselli R, Kaib S and Reiman EM, Association between GAB2 haplotype and higher glucose metabolism in Alzheimer’s disease-affected brain regions in cognitively normal APOEe4 carriers, accepted by Neuroimage, Vol. 54(3). Pgs 1896-1902. 2010. PMID: 20888920
  62. Tzimopoulou S, Cunningham V, Nichols T, Searle G, Bird N, Mistry P, Dixon I, Hallett W, Whitcher B, Brown A, Zvartau-Hind M, Lotay N, Lai R, Castiglia M, Jeter B, Matthews J, Chen K, Bandy D, Reiman EM, Gold M, Rabiner E and Matthews P,A Multi-centre Randomised Proof-of-Concept Clinical Trial Applying [18F]FDG-PET for Evaluation of Metabolic Therapy with Rosiglitazone XR in Mild to Moderate Alzheimer’s Disease, accepted by Journal Of Alzheimer’s Disease (2010). Vol. 22(4). Pgs 1241-1256. PMID: 20930300.
  63. Wu X, Li R, Fleisher A, Reiman EM, Chen K and Yao L, Altered Default Mode Network Connectivity in Alzheimer’s Disease– A Resting Functional MRI and Bayesian Network Study, accepted by Human Brain Mapping, 2010. DOI: 10.1002/hbm.21153. PMID: 21259382
  64. Wu X, Chen K, Yao L, Ayutyanont N, Langbaum J, Fleisher A, Reschke C, Lee W, Liu X, Alexander G, Bandy D, Foster N, Thompson P, Harvey D, Weiner M, Koeppe R, Jagust W, Reiman EM and the Alzheimer’s Disease Neuroimaging Initiative, Assessing the Reliability to Detect Cerebral Hypometabolism in Probable Alzheimer’s Disease and Amnestic Mild Cognitive Impairment, accepted by Journal of Neuroscience Methods, 2010 (JNEUMETH-D-10-00231R1), 192 (2010) 277-285
  65. Corneveaux J, Myers A, Allen A, Pruzin J, Ramirez M, Engel A, Nalls M, Chen K, Lee W, Chewning K, Villa S, Meechoovet H, Gerber J, Frost D, Benson H, O’Reilly S, Chibnik L, Shulman J, Singleton A, Craig D, Van Keuren-Jensen K, Dunckley T, Bennett D, De Jager P, Heward C, Hardy J, Reiman EM and Huentelman M, Association of CR1, CLU, and PICALM with Alzheimer’s disease in a cohort of clinically characterized and neuropathologically verified individuals, Human Molecular Genetics (accepted) 5/2010- Manuscript HMG-2010-ASA-00394.R1.19(16):3295-301.
  66. Guo H, Renaut R, Chen K, Reiman EM, Reducing modeling error of graphical methods for estimating volume of distribution measurements in PIB–PET study. Mathematical Biosciences 226 (2010) 134–146. PMID: 20493196
  67. Jagust W, Bandy D, Chen K, Foster N, Landau S, Mathis C, Price J, Reiman EM, Skovronsky D, Koeppe R And the ADNI Investigators, The ADNI PET Core, accepted by Alzheimer’s & Dementia, 2010
  68. Chen K, Langbaum J, Fleisher A, Ayutyanont N, Reschke C, Lee W, Liu X, Bandy D, Alexander G, Thompson P, Foster N, Harvey D, de Leon M, Koeppe R, Jagust W, Weiner M and Reiman EM, Twelve-Month Metabolic Declines in Probable Alzheimer’s Disease and Amnestic Mild Cognitive Impairment Assessed Using an Empirically Pre-Defined Statistical Region-of-Interest: Findings from the Alzheimer’s Disease Neuroimaging Initiative,pp654-664, Neuroimage 51(2), 2010 (PMC2856742)
  69. Huang S, Li J, Sun L, Ye J, Fleisher A, Wu T, Chen K, Reiman EM and ADNI Investigators, Learning Brain Connectivity of Alzheimer’s Disease by Sparse Inverse Covariance Estimation, Neuroimage, 2010; 50:935-949 (PMC20079441)
  70. Le D, Chen K, Pannacciulli N, Gluck M, Reiman, EM and Krakoff J, (need to confirm other author names) Re-Analysis of the Obesity-Related Attenuation in the Left Dorsolateral Prefrontal Cortex Response to a Satiating Meal Using Gyral Regions-of-Interest, Journal of the American College of Nutrition, Vol. 28(6), 667–673 (2009)
  71. Smith J, Pillai A, Chen K, and Horwitz B, Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems, Neuroimage, 2010, 52: 1027-1040
  72. Smith J, Alexander GE, Chen K, Husain F, Kim J, Pajor N and Horwitz B, Imaging systems level consolidation of novel associate memories: A longitudinal neuroimaging study. Accepted by Neuroimage, 2009 (NIMG-09-1285R2). Vol. 50(2). DOI: 10.1016/j.neuroimage.2009.11.053. pgs 826-836
  73. Guo X, Wang Z, Li K, Li Z, Qi Z, Jin Z, Yao Land Chen K, Voxel-based assessment of gray and white matter volumes in Alzheimer’s disease, Neuroscience Letters. 468 (2010) 146–150. DOI: 10.1016/j.neulet.2009.10.086
  74. Bergfield KL, Hanson KD, Chen K, Teipel SJ, Hampel H, Rapoport SI, Moeller JR, Alexander GE. Age-related networks of regional covariance in MRI gray matter: Reproducible multivariate patterns in healthy aging. NeuroImage, 49 (2010) 1750–1759. DOI: 10.1016/j.neuroimage.2009.09.051
  75. Fleisher A, Donohue M, Chen K, Brewer J, Aisen P and the Alzheimer’s Disease Neuroimaging Initiative, Applications of neuroimaging to disease-modification trials in Alzheimer’s disease, Behavioural Neurology. Vol. 21(1). Pgs 129-136. DOI: 10.3233/BEN-2009-0241.
  76. Langbaum JBS, Chen K, Caselli, RJ, Lee W, Reschke C, Bandy D, Alexander GE, Burns CM, Kaszniak AW, Reeder SA, Corneveaux JJ, Allen AN, Pruzin, J, Huentelman MJ, Fleisher AS, Reiman EM. Hypometabolism in Alzheimer-affected brain regions in cognitively healthy Latino individuals carrying the Apolipoprotein E ε4 allele. Archives of Neurology2010;67:462-468
  77. Reiman EM, Chen K, Langbaum JBS, Lee W, Reschke C, Bandy D, Alexander GE, Caselli RJ.  Higher total serum cholesterol in late middle age are associated with glucose hypometabolism in brain regions affected by Alzheimer’s disease and normal aging. NeuroImage 2010;49:169-176. PMCID: PMC2888804 (available on 2011/1/1)
  78. Fleisher A, Sherzai A, Taylor C, Langbaum J, Chen K, Buxton R, Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer’s disease risk groups. Neuroimage, 2009; 47:1678-1690.
  79. Sun L, Patel R, Liu J, Chen K, Wu T, Li J, Reiman EM and Ye J, Mining Brain Region Connectivity for Alzheimer’s Disease Study via Sparse Inverse Covariance Estimation. KDD, 2009 (indexed and searchable at “The ACM Digital Library” at http://portal.acm.org/.” and at http://www.informatik.uni-trier.de/~ley/db/index.html).
  80. Chen K, Reiman EM, Huan Z, Caselli R, Bandy D, Ayutyanont N and Alexander GE, Linking Functional and Structural Brain Images with Multivariate Network Analyses: A Novel Application of the Partial Least Square Method, NeuroImage 47 (2009) 602–610
  81. Reiman, EM, Chen K, Liu X, Bandy D, Yu M, Lee W, Ayutyanont N, Keppler J, Reeder S, Langbaum J, Alexander G, Klunk W, Mathis C, Price J, Aizenstein H, DeKosky S, Caselli R, Fibrillar amyloid-β burden in cognitively normal people at three levels of genetic risk for Alzheimer’s disease. Proc. Natl. Acad. Sci. USA 2009 106: 6820-6825
  82. Guo H, Renaut R, Chen K, and Reiman EM. FDG-PET Parametric Imaging by Total Variation Minimization, Computerized Medical Imaging and Graphics, Volume 33, Issue 4, Pages 295-303 (June 2009)
  83. Langbaum JBS, Chen K, Lee W, Reschke C, Bandy D, Fleisher AS, Alexander GE, Foster NL, Weiner MW, Koeppe RA, Jagust WJ, Reiman EM, and the Alzheimer’s Disease Neuroimaging Initiative. Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). NeuroImage 2009;45:1107-1116. PMCID: PMC2886795.
  84. Wu X, Lu J, Chen K, Long Z, Wang X, Shu H, Li K, Liu Y, Yao L: Multiple neural networks supporting a semantic task: an fMRI study using independent component analysis, accepted by Neuroimage (2008). Vol. 45(4). Pgs 1347-1358
  85. Caselli RJ, Chen K, Lee W, Alexander GE, Reiman EM. Correlating Cerebral Hypometabolism With Future Memory Decline in Subsequent Converters to Amnestic Pre–Mild Cognitive Impairment, Arch Neurol. 2008;65(9):1231-1236
  86. Spulber G, Niskanen E, MacDonald S, Smilovici O, Chen K, EReiman EM, Jauhiainen AM, Hallikainen M, Tervo S, Wahlund LO, Vanninen R, Kivipelto M, Soinine H. Whole brain atrophy rate predicts progression from mild cognitive impairment to Alzheimer’s disease Neurobiology of Aging, (accepted 8/25/2008).
  87. Lane RD, McRae K, Reiman EM, Chen K, Ahern, GL, Thayer JF.  Neural correlates of heart rate variability during emotion. Neuroimage 44: 214-223, 2009.
  88. Nam H, Renaut, R, Chen K, Guo, H, Farin G. Improved inter-modality image registration using normalized mutual information with coarse-binned histograms. Communications in Numerical Methods in Engineering 25(6):583-595, 2009. DOI: 10.1002/cnm.1176
  89. Huentelman MJ, Corneveaux JJ, Liang WS, Reiman EM, Webster JA, Myers AJ, Zismann VL, Joshipura KD, Pearson JV, Hu-Lince D, Craig DW, Coon KD, Dunckley T, Bandy D, Lee W, Chen K, Beach TG, Mastroeni D, Grover A, Ravid R, Sando SB, Aasly JO, Heun R, Jessen F, Kolsch H, Rogers J, Hutton ML, Melquist S, Petersen RC, Alexander GE, Caselli RJ, Papassotiropoulos A, Stephan DA: Evidence for an association between KIBRA and late-onset Alzheimer’s disease, Neurobiology of Aging, accepted 2008. Vol. 31(6). Pgs 901-909
  90. Zhan Z, Liu H, Ye J, Chen K, Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis, ECML PKDD 2008 (oral presentation, accepted as a full paper). Vol. 4. Pg 36-47
  91. McRae K, Reiman EM, Fort C, Chen K, Lane RD. Association Between Trait Emotional Awareness and Dorsal Anterior Cingulate Activity During Emotion is Arousal-Dependent, Neuroimage, accepted 2008. Vol. 41(2). Pgs 648-655. DOI: 10.1016/j.neuroimage.2008.02.030
  92. Reiman EM, Chen K, Caselli R, Alexander GE, Bandy D, Adamson J, Lee W, Cannon A, Stphan E, Stephan D, and Papassotiropoulos A. Cholesterol-related genetic risk scores are associated with hypometabolism in Alzheimer’s-affected brain regions, Neuroimage 2008;40(3):1214-1221
  93. Alexander GE, Chen K, Aschenbrenner M, Merkley T, Santerre-Lemmon L, Shamy J, Skaggs W, Buonocore M, Rapp P, and Barnes C. Age-Related Regional Network of MRI Gray Matter in the Rhesus Macaque, Journal of Neuroscience, 28(11):2710 –2718. 2008
  94. Wu X, Chen K, Long Z, Wen X, Jin Z, and Yao L. Ipsilateral brain deactivation specific to the non-dominant hand during simple finger movement, NeuroReport, 19 (2008):483-486
  95. Chen K, Chen X, Renaut R, Alexander GE, Bandy D, Guo H, and Reiman EM. Characterization of the image-derived carotid artery input function using independent component analysis for the quantitation of [18F] fluorodeoxyglucose positron emission tomography images, Physics in Medicine and Biology, 52 (2007) 7055-7071
  96. Long Z, Chen K, Wu X, Yao L, Reiman E, Peng D. Improved Application of Independent Component Analysis to Functional Magnetic Resonance Imaging Study via Linear Projection Techniques, Human Brain Mapping, accepted 2007. DOI: 10.1002/hbm.20515. Vol. 30(2). Pgs 417-431
  97. Stonnington CM, Tan G, Kloppel S, Chu C, Dragansky B, Jack CR, Chen K, Ashburner J, Frackowiak R. Interpreting scan data acquired from multiple scanners: a study with Alzheimer’s disease, Neuroimage, 39(3): 1180–1185, 2008
  98. Le DSNT, Pannacciulli N, Chen K, Salbe AD, Del Parigi A, Hill JO, Wing RR, Reiman EM, Krakoff J. Less activation in the left dorsolateral prefrontal cortex in the reanalysis of the response to a meal in obese than in lean women and its association with successful weight loss. Am J Clin Nutr 86: 573-579, 2007
  99. Guo H, Renaut, R, Chen, K. An Input Function Estimation Method for FDG-PET Human Brain Studies, Nuclear Medicine and Biology, 34 (2007) 483–492, 2007
  100. Chen K, Smilovici O, Lee W, Reschke C, Zhu Z, Bandy D, Reiman E. Inter-Frame Co-Registration of Dynamically Acquired Fluoro-Deoxyglucose Positron Emission Tomography Human Brain Data, the proceedings of Complex Medical Engineering (published by IEEE SMC, EI indexed), 907-912, 2007.
  101. Chen K, Reiman EM, Alexander, GE. Power Estimation for Human Brain Neuroimaging Study: A Monte-Carlo Simulation Package Correcting Multiple Comparisons and Secondary Supportive Evidences, the proceedings of Complex Medical Engineering.   (published by IEEE SMC, EI indexed), 913-919, 2007.
  102. Guo X, Chen C, Chen K, Jin Z, Peng D, Yao L. Brain development in Chinese children and adolescents: a structural MRI study. NeuroReport 18(9):875-880, June 11, 2007.
  103. Chen K, Reiman EM, Alexander GE, Caselli RJ, Gerkin R, Bandy D, Domb A, Osborne D, Fox NC, Crum W, Saunders AM, Hardy J. Correlations Between Apolipoprotein E e4 Gene Dose And Whole Brain Atrophy Rates. Am J Psychiatry 164: 713-720, 2007.
  104. Pannacciulli N, Le D, Salbe AD, Chen K, Reiman EM, Tataranni PA, Krakoff J. Postprandial glucagon-like peptide-1 (GLP-1) response is positively associated with changes in neuronal activity of brain areas implicated in satiety and food intake regulation in humans. Neuroimage 35: 511-517, 2007
  105. Pannacciulli N, Le D, Chen K, Reiman EM, Krakoff J. Relationships between plasma leptin concentrations and human brain structure: a voxel-based morphometric study. Neuroscience Lett. (accepted) 2006.
  106. Wu X, Long Z, Yao L, Chen K. A variant of logistic transfer function in infomax and a post-processing procedure for independent component analysis applied to fMRI data. Magn Reson Imaging, Vol. 25(5), 703 – 711 2007.
  107. Tang Y, Zhang W, Chen K, Feng S, Ji Y, Shen J, Reiman EM, Liu Y. Arithmetic processing in the brain shaped by cultures. PNAS 103 /28: 10775-10780, 2006.
  108. Le D, Pannacciulli N, Chen K, Del Parigi A, Reiman E, Arline A, Krakoff J. Lesser activation of the left dorsolateral prefrontal cortex in response to a meal: a feature of obesity. Am J Clin Nutr 84: 725-731, 2006.
  109. DelParigi A, Chen K, Reiman EM. Is the brain representation of hunger normal in the Prader-Willi syndrome? Int J Obes (Lond). (accepted) 2006. 70
  110. DelParigi A, Chen K, Salbe AD, Hill J, Wing R, Reiman EM, Tataranni PA. Successful Dieters have Increased Neural Activity in Cortical Areas Involved in the Control of Behavior. Int J Obes (accepted) 2006.
  111. Caselli RJ, Chen K, Bandy D, Smilovici O, Boeve B, Osborne D, Alexander GE, Parish J, Krahn L, and Reiman EM. A Preliminary Fluorodeoxyglucose Positron Emission Tomography Study in Healthy Adults Reporting Dream Enactment Behavior. Sleep 29/7: 915-921, 2006.
  112. Alexander GE, Chen K, Merkley T, Reiman EM, Caselli RJ, Aschenbrenner M, Santerre-Lemmon L, Lewis D, Pietrini P, Teipel S, Hampel H, Rapoport S, Moeller J. Regional Network of MRI Gray Matter Volume in Healthy Aging. Neuroreport 17: 951-956, 2006.
  113. Pannacciulli N, DelParigi A, Chen K, Le D, Reiman EM, Tataranni PA. Brain abnormalities in human obesity: a voxel-based morphometric study. Neuroimage 31/4: 1419-1425, 2006.
  114. Smith J, Chen K, Johnson S, Morrone-Strupinsky J, Reiman EM, Nelson A, Moelle J, Alexander GE. Network analysis of single-subject fMRI during a finger opposition task. Neuroimage 32/1: 325-332, 2006.
  115. Johnson SC, Schmitz TW, Moritz CH, Meyerand ME, Rowley HA, Alexander AL, Hansen KW, Gleason CE, Carlsson CM, Ries ML, Asthana S, Chen K, Reiman EM, Alexander GE. Activation of Brain Regions Vulnerable to Alzheimer’s Disease: The Effect of Mild Cognitive Impairment. Neurobiol Aging 27/11: 1604-12, 2006.
  116. Reiman EM, Chen K, Alexander GE, Caselli RJ, Bandy D, Osborne D, Saunders AM, Hardy J. Correlations Between Apolipoprotein E4 Gene Dose and Brain-Imaging Measurements of Regional Hypometabolism. PNAS 102/23: 8299-8302, 2005.
  117. Dong Q, Xue G, Chen K, Jin Z, Chen C, Zeng Y, Reiman EM. Cerebral Asymmetry in Children When Reading Chinese Characters. Brain Res Cogn Brain Res 24/2: 206-14, 2005.
  118. DelParigi A, Chen K, Salbe AD, Reiman EM, Tataranni PA. Sensory experience of food and obesity: a positron emission tomography study of the brain regions affected by tasting a liquid meal after a prolonged fast. Neuroimage 24/2: 436-443, 2005.
  119. Chen K, Reiman EM, Alexander GE, Bandy D, Renaut R, Crum WR, Fox NC, Rossor MN. An Automated Algorithm for the Computation of Brain Volume Change from Sequential MRI’s Using an Iterative Principal Component Analysis and Its Evaluation for the Assessment of Whole Brain Atrophy Rates in Patients with Probable Alzheimer’s Disease. Neuroimage 22/1: 134-143, 2004.
  120. Reiman EM, Chen K, Alexander GE, Caselli RJ, Bandy D, Osborne D, Saunders AM, Hardy J. Functional Brain Abnormalities in Young Adults at Genetic Risk for Late-Onset Alzheimer’s Dementia. PNAS 101/1: 284-289, 2004.
  121. DelParigi A, Chen K, Salbe AD, Hill J, Rena W, Reiman EM, Tataranni PA.   Persistence of Abnormal Neural Responses to a Meal in Post-Obese Individuals. Int J Obes 28: 370-377, 2004.
  122. Guo H, Renaut R, Chen K, Reiman EM. Clustering Huge Data Sets for Parametric PET Imaging. BioSystems 71/1-2: 81-92, 2003.
  123. Archibald R, Chen K, Gelb A, Renaut R. Improving the Accuracy of Segmentation Algorithms for Magnetic Resonance Imaging in Human Brain Studies. NeuroImage 20/1: 489-502, 2003.
  124. DelParigi A, Chen K, Salbe AD, Reiman EM, Tataranni PA. Are We Addicted to Food? Obes Res 11: 493-495, 2003.
  125. Del Parigi A, Gautier J-F, Chen K, Salbe AD, Ravussin E, Reiman E, Tataranni PA. Neuroimaging and obesity: mapping the brain responses to hunger and satiation in humans using positron emission tomography. Ann NY Acad Sci 2002; 967: 389-97
  126. Angelo Del Parigi, Kewei Chen, Arline D. Salbe, Jean-François Gautier, Eric Ravussin, Eric M. Reiman and P. Antonio Tataranni, Tasting a liquid meal after a prolonged fast is associated with preferential activation of the left hemisphere, NeuroReport, 2002 Jul 2;13(9):1141-5
  127. J. Valla, K. Chen, J.D. Berndt, F. Gonzalez-Lima, S.R. Cherry, D. Games, and E.M. Reiman. Effects of Image Resolution on Autoradiographic Measurements of Posterior Cingulate Activity in PDAPP Mice: Implications for Functional Brain Imaging Studies of Transgenic Mouse Models of Alzheimer’s Disease. Neuroimage 2002 Jul;16(1):1-6
  128. Angelo Del Parigi, Kewei Chen, Jean-François Gautier, Arline D. Salbe, Richard E. Pratley, Eric Ravussin, Eric M. Reiman and P. Antonio Tataranni, Gender differences in the human brain’s response to hunger and satiation, American Journal of Clinical Nutrition 2002 Jun;75(6):1017-22
  129. Alexander GE, Chen K, Pietrini P, Rapoport SI, Reiman EM. Longitudinal evaluation of cerebral metabolic decline in dementia: Implications for using resting PET to measure outcome in long-term treatment studies of Alzheimer’s disease. Am J Psychiatry 2002 159:738-745
  130. Gautier JF, Del Parigi A, Chen K, Salbe AD, Bandy D, Pratley RE, Ravussin E, Reiman EM, Tataranni PA. Effect of Satiation on Brain Activity in Obese and Lean Women. Obes Res. 2001 Nov;9(11):676-684.
  131. E Reiman, R Caselli, K Chen, G Alexander, D Bandy, J Frost, Declining Brain Activity in Cognitively Normal Apolipoprotein E e4 Heterozygotes: A Foundation for Testing Alzheimer’s Prevention Therapies Using Positron Emission Tomography. Proc. Natl Acad Sci, 2001, 98(6):3334-3339.
  132. E Reiman, R Caselli, G Alexander, K Chen, Tracking the decline in cerebral glucose metabolism in persons and laboratory animals at genetic risk for Alzheimer’s disease Clinical Neuroscience Research, 2001, Volume 1, Issue 3, May 2001, Pages 194-206.
  133. Y Choi, S-C Huang, R Hawkins, J Kim, B Kim, C Hoh, K Chen, M Phelps, H Schelbert, Quantification of myocardial blood flow using N-13 ammonia and PET: comparison of tracer models J Nucl Med, 1999, 40:1045-1055.
  134. X. Li, D. Feng, & K, Chen ” Optimal Image Sampling Schedule for Both Image-Derived Input and Output Functions in PET Cardiac Studies”, IEEE Transactions on Medical Imaging, Vol. 19(3), pp233-242, 2000
  135. Craig, A.D., K. Chen, D. Bandy and E.M. Reiman (2000) Thermosensory activation of insular cortex. Nature Neuroscience 3: 184-190
  136. Michael Lawson, Jerome Targovnik, Kewei Chen, Daniel Bandy, Sandra Goodwin, Leslie Mullen, Jennifer Frost, Udaya Kabadi James Felicetta and Ifat Shah, Three cases of prmary hyperparathyrodism (PHP) with prior failed sugery where culprit lesions were identified by C-11 methionine positron emission tomography (PET) and accurately localized with PET-MRI coregistration. Vol. 3:31-36, Clinical Positron Imaging, 2000
  137. Reiman, EM, Uecker A, F Gonzalez-Lima, Deanna Minear, Kewei Chen, Narriman Lee Callaway, Jason Berndt Dora Games, Tracking Alzheimer’s disease in transgenic mice using fluorodeoxyglucose autoradiography, NeuroReport, Vol 11 (5): 987-991, 2000
  138. Kofoed KF, Hansen PR, Holm S, Hove JD, Chen K, Jin W, Jensen M, Iida H, Hesse B, Svendsen JH, Kelbaek H. Regional myocardial oxygen consumption estimated by carbon-11 acetate and positron emission tomography before and after repetitive ischemia. J Nucl Cardiol. 2000 May-Jun;7(3):228-34.
  139. Gautier JF, Chen K, Salbe AD, Bandy D, Pratley RE, Heriman M, Ravussin E, Reiman EM, Tataranni, PA, Differential brain responses to satiation in obese and lean men. Diabetes, 2000, 49(5):838-846
  140. Gautier J-F, Chen K, Uecker A, Bandy D, Frost J, Salbe A, Pratley R, Lawson M, Ravussin E, Tataranni A, Reiman E, Regions of the human brain affected during a liquid-meal taste perception in the fasting state: A positron emission tomography, American Journal of Clinical Nutrition, 1999. 70(5):806-810
  141. Allen Kaplan, Daniel Bandy, Kim Manwaring, Kewei Chen, Michael Lawson, David Moss, Johnny Duncan, David Wodrich, James Schnur, Erich Reiman , Functional brain mapping using Positron emission tomography scanning in preoperative neurosurgical planning for pediatric brain tumors, J Neurosurg, Vol. 91, pp 797-803, 1999
  142. Schacter D, Curran T, Reiman E, Chen K, Bandy D, Frost J, Medial temporal lobe activation during episodic encoding and retrieval: A PET study, Hippocampus 9: 575-581, 1999
  143. Tataranni P.A., Gautier J.F., Chen K., Uecker A.., Salbe A.D., Pratley R.E., Lawson M., Reiman E.M., Ravussin E.: Neuroanatomical correlates of hunger and satiation in humans using positron emission tomography. Proc. Natl. Acad. Sci., Vol. 96, pp-4569-4574, 1999
  144. Kewei Chen, Daniel Bandy, Eric Reiman, Sung-Cheng Huang, Michael Lawson, Dagan Feng, Lang-sheng Yun, Anita Palant Non-invasive Quantification of the Cerebral Metabolic Rate for Glucose Using Positron Emission Tomography, F-18 Fluoro-2-deoxyglucose, the Patlak Method, and an Image-derived Input Function, Journal of Cerebral Blood Flow and Metabolism, Vol 18, pp716-723. 1998
  145. Kewei Chen, Michael Lawson, Eric Reiman, Dagan Feng, Sung-Cheng Huang, Daniel Bandy, Dino Ho, Lang-sheng Yun, and Anita Palant, generalized linear least square method for fast generation of myocardial blood flow parametric images with n-13 ammonia PET. IEEE Transactions On Medical Imaging, vol. 17(2), pp 236-243, 1998
  146. D. Ho, D. Feng & K. Chen, “A New Method for the Analysis of Multiple Positron Emission Tomography Dynamic Datasets: An Example Applied to the Estimation of the Cerebral Metabolic Rate of Oxygen”, Medical & Biological Engineering & Computing, Vol. 36(1), pp83-90, January 1998.
  147. Gautier J.F., Milner M. R., Elam E., Chen K., Ravussin E., Pratley R.E.: Visceral adipose tissue is not increased in Pima Indians compared to equally obese Caucasians and is not related to insulin action or secretion. Diabetologia, Vol. 42 pp28-34, 1998
  148. Anne Uecker, Eric Reiman, Dannel Schacter, Micheal Polster, Lynn Cooper, Lang S. Yun, Kewei Chen Neuro-anatomical correlates of implict and explicit memory for structrally possible and impossible visual objects, Learning and Memory, Vol. 4: pp337-355, 1997
  149. Schacter, D.L., Uecker, A., Reiman, E., Yun, L.S., Bandy, D., Chen, K., Cooper, L.A., & Curran, T. Effects of size and orientation change on hippocampal activation   during episodic recognition: A PET study. NeuroReport, 8, 3993-3998, 1997
  150. Dino Ho, Dagan Feng, Kewei Chen, Dynamic Image Data Compression in Spatial and Temporal Domains: Theory and algorithm. Submitted to IEEE Transactions on Biomedical Information Technology. Vol 1, No 4, pp219-228, Dec. 1997
  151. Karl T. Sun, Lawrence A. Yeatman, Denis B. Buxton, Kewei Chen, Jay A.Johnson, Sung-Cheng Huang, Klaus F. Kofoed, Susanne Weismueller, Johannes Czernin, Michael E. Phelps, Heinrich R. Schelbert A tracer kinetic model for the simultaneous measurement of myocardial oxygen consumption and blood flow in humans using [1-11C] acetate and PET” The Journal of Nuclear Medicine), 1997; Vol 39:272-280
  152. E. Reiman, R. Lane, G Ahern, G. Schwartz, R. Davidson, K. Friston, L. Yun, K. Chen, Neuroanatomical correlates of externally and internally generated human emotion, The America Journal of Psychiatry 1997; Vol 154: 918-925
  153. Karl T. Sun, Kewei Chen, Sung-Cheng Huang, Denis Boxton, Herbert Hansen, Anatole Kim, Stefan Siegel, Yong Choi, Peter Muller, Michael Phelps, and Heinrich Schelbert, Compartment model for measurement of myocardial oxygen consumption using C-11 acetate. The journal of Nuclear Medicine vol: 38 p459-466, 1997
  154. Duncan JD, Moss SD, Bandy DJ, Manwaring K, Kaplan AM, Reiman EM, Chen K, Lawson MA, Wodrich DL. Use of positron emission tomography for presurgical localization of eloquent brain areas in children with seizures. Pediatr Neurosurg. 1997 Mar;26(3):144-56.
  155. X. Li, D. Feng, & K, Chen “Optimal Image Sampling Schedule: A New Effective Way to Reduce Dynamic Image Storage Space and Functional Image Processing Time”, IEEE Transactions on Medical Imaging, Vol. 15(5), pp710-719, 1996
  156. Allen Kaplan, Kewei Chen, Michael Lawson, Charles Bonstelle, David Wodrich, Eric Reiman: Positron Emission Tomography in children with Neurofibromatosis type -1 J Child Neurol, 12:499-506, 1997.
  157. Kewei Chen, Eric Reiman, Michael Lawson, Lang-sheng Yun, Daniel Bandy, Anita Palant, Methods for the correction of vascular artifacts in PET O-15 water brain mapping studies. IEEE Nclear Science transaction . vol 43: p3308-3314, 1996
  158. Eric Reiman, Richard Caselli, Lang-Sheng Yun, Kewei Chen, Daniel Bandy, Satoshi Minoshima, Stephen Thibodeau, David Osborne: Preclinical evidence of a genetic risk factor for alzhemer’s disease in apolipoprotein E type 4 homozygotes using positron emission tomography. (The New England Journal of Medicine) vol 334: p752-758, 1996
  159. Chen, Kewei. Reiman, E. Lawson, M. Feng, D. Huang, S-C Decay Correction Methods in Dynamic PET, IEEE Transaction on Nuclear Sciences vol 42(6) p2173-p2179,, 1995
  160. Dagan Feng, Dino Ho, Kewei Chen, LC Wu, JK Wang, RS Liu, SH Yeh,   An evaluation of the algorithms for constructing local cerebral metabolic rates of glucose tomographical maps using Positron Emission Tomography Dynamic Data, IEEE Transactions on Medical Imaging, vol 14(4) p697-p710 1995
  161. Chen, K. Huang, S-C, Feng, D. New Estimation Methods That Directly Use the Time Accumulated Counts in the Input Function in Quantitative Dynamic PET Studies. Physics in Medicine and Biology. 39: 2073-2090 (1994)
  162. Sun, K. T, Groof M. D., Yi, J., Hansen, H. W., Chen, K. Czernin, J. Phelps, M. E., Schelbert H. R. Quantification of the Extent and severity of perfusion defects in canine myocardium by PET polar mapping. Journal of Nuclear Medicine 35(12): pp2031-2040, 1994
  163. J. Czernin, G. Porenta, R. Brunken, J. Krivokapich, Kewei Chen, R. Bennett, A. Hage, C. Fung, J. Tillisch, M. Phelps, H. Schelbert. Regional Blood flow, Oxidative metabolism and glucose utilization in patients with acute myocardial infarction. Circulation, 88: p884-p895, 1993
  164. J. Czernin, P. Muller, S. Chan, R. Brunken, G. Porenta, J. Krivokapich, Kewei Chen, A. Chan, M. Phelps, H. Schelbert. Influence of age and hemodynamics on myocardial blood flow and flow reserve , Circulation 88 (1): p62-69 1993
  165. Chen, Kewei. Huang, Sung-Cheng. Yu, Dachu. The effects of measurement errors in the plasma radioactivity curve on parameter estimation in positron emission tomography. Physics in Medicine and Biology Vol. 36, No 9 1183-1200 (1991)
  166. Chen, K. Shu, G. A stochastic model for an epidemic disease. J. of Endemic Disease, 1988.
  167. Chen, K. Liu, L. The stochastic generalized Leslie Matrix model. J. of Applied Mathematics of Chinese Universities, 1988.
  168. Chen, K. Zhu, Z. A stochastic logistic model. J. of Beijing Agriculture University, 1988.
  169. Chen, K.   Teaching the concept of uniform convergence. Higher Mathematics, Vol 3 No 4 192-194, (1987)
  170. Chen, K. Liu, L. The   asymptotic periodicity   of population’s   age structure in changeable environments. J. of Beijing Normal University (edition of natural science), vol. 3, 70-72 1987.
  171. Chen, K. An application of perturbation theory for linear operators sensitivity analysis of Leslie matrix model. Journal of Biomathematics, Vol 2 No 2, 141-149, 1987
  172. Liu, L. Chen, K. The sensitivity analysis of parameters in Leslie Matrix Model (II). J. of Biomathematics, 1987.
  173. Chen, K. Shu, G. Zhang, H. Zhao, Yong, A simple mathematical model for prediction of an endemic disease. Chinese Journal of Control of Endemic Disease, Vol 2 No 5, 289-292 1987.
  174. Liu, L. Chen, K. The stable age structure and its properties in generalized Leslie matrix model. Journal of Biomathematics, Vol 1, No 2, 81-87, 1986
  175. Chen, K. Asymptotic analysis of generalized Leslie matrix model. Journal of Biomathematics, Vol 1, No 2, 126-130, 1986
  176. Chen, K. Zhang, D. A forecasting model for citellus dauricus population. J. of Endemic Disease, 1986.
  177. Chen, K. The sensitivity of parameters in Leslie Matrix model. J. of Beijing Normal University, No2, 1-3, 1986.
  178. Liu, L. Chen, K. A population with pyramid age structure is not necessarily a growing one.   Science Bulletin, Vol 15, 1185-1187, 1986.
  179. Chen, K. Zhang,D. A mathematical model for forecasting Brucellosis population. J. of Endemic Disease, 1985

Papers Published in Conference Proceedings or Conference Records

(Partial list, do not include recent additions)

  1. Wang-Juh Chen, Hongbin Guo, Rosemary A Renaut and Kewei Chen, A New SVM Model for Classifying Genetic Data, International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics (BCBGC-10), full paper and oral presentation, 2010
  2. Rui Li, Kewei Chen, Juan Li, Adam S. Fleisher, Eric M. Reiman, Li Yao, and Xia Wu, Deriving difference between the Bayesian networks based patterns of the effective connectivity using permutation test in fMRI studies, ICME, 2010, Golden Coast, Australia,
  3. Xiaoyan Miao, Kewei Chen, Rui Li, Xiaotong Wen, Li Yao, and Xia Wu, Application of Granger causality analysis to effective connectivity of the default-mode network, ICME, 2010, Golden Coast, Australia
  4. Shuai Huang, Jing Li, Teresa Wu, Kewei Chen, Learning Brain Connectivity of Azheimer’s Disease from Neuroimaging Data, NIPS 2009 (conference proceeding, oral presentation,
  5. Yi-Wen Sun, Xiaofen Liu, Jessica Langbaum, Justin Venditti, Eric M Reiman and Kewei Chen, Automation of the Logan plot based PiB-PET quantification over multiple subjects and multiple reference regions, proceedings of the 2009 IEEE/CME International Conference on Complex Medical Engineering (CME2009)
  6. Napatkamon Ayutyanont, Kewei Chen, Xiaofen Liu, Dan Bandy, Meixiang Yu, Cole Reschke, Wendy Lee, Justin Venditti, Jennifer Keppler, Stephanie Reeder and Eric M. Reiman, Using the artificial neural network to discriminate between normal controls with different Apoe genotypes and probable AD cases on the basis of their PiB-pet DVR, proceedings of the 2009 IEEE/CME International Conference on Complex Medical Engineering (CME2009)
  7. Li Kong, Zhongdan Huan, Cole Reschke, Josh Shapiro, Xiaofen Liu, Napatkamon Ayutyanont, Justin Venditti, Wendy Lee, Eric M Reiman and Kewei Chen, Whole brain atrophy based on Iterative Principal Component Analysis and MRI techniques in the study of Alzheimer’s disease, proceedings of the 2009 IEEE/CME International Conference on Complex Medical Engineering (CME2009)
  8. Hongbin Guo, Kewei Chen, Rosemary A Renaut and Eric M Reiman, Reducing the noise effects in Logan graphic analysis for PET receptor measurements, proceedings of the 2009 IEEE/CME International Conference on Complex Medical Engineering (CME2009)
  9. Rinkal Patel, Jieping Yu, Gene Alexander, Eric Reiman, Kewei Chen, Sparse Inverse Covariance Analysis of Human Brain for Alzheimer’s Disease Study, proceedings of the 2009 IEEE/CME International Conference on Complex Medical Engineering (CME2009)
  10. Cai Z, Di Q, Chen K, Reiman E, Wang L, Li K, Zhao X*, Yao L. Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image. SPIE Medical Imaging, 65142B: 1-8, 2007.
  11. Xia Wu, Zhiying Long, Li, Yao, Kewei Chen, A new post-processing method of applying independent component analysis of fMRI data, SPIE, February, 11-16, 2006, San Diego, Proc. of SPIE, Vol, 6144, 61446U-1 to 61446U-5
  12. Kewei Chen, Xiaolin Ge, Li Yao, Dan Bandy, Gene E. Alexander, Anita Prouty, Christine Burns, Xiaojie Zhao, Xiaotong Wen, Ronald Korn, Michael Lawson, Eric M. Reiman, An automated, normative-based fluorodeoxyglucose positron emission tomography image-analysis procedure to aid Alzheimer disease diagnosis using statistical parametric mapping and interactive image display, SPIE, February, 11-16, 2006, San Diego, Proc. of SPIE, Vol, 6144, 614453-1 to 614453-9
  13. Prasanna K. Velamuru, Rosemary A. Renaut, Hongbin Guo and Kewei Chen, Robust Clustering of Positron Emission Tomography Data, CSNA, 2005
  14. Lan Lin, Kewei Chen, Jonathan Valla, Jiping He, Eric M. Reiman, Jean-Philippe Galons, Beatrice Hauss-Wegrzyniak, Gene E. Alexander, MRI Template and Atlas Toolbox for the C57BL/6J Mouse Brain, Proceedings of the 2   International IEEE EMBS Conference on Neural Engineering, p 6-8 (ISBN: 0-7803-8710-4). The 2nd International IEEE EMBS Special Topic Conference on Neural Engineering, 16 – 19 March 2005 in Arlington, Virginia
  15. K Chen, E. Reiman, G Alexander and W. R. Crum,Detection of Gray Matter Atrophy from Sequential MRI in AD Patients World Congress on Medical Physics and Biomedical Engineering, Aug 24 – 29, 2003, Sydney, Australia, IFMBE Proceedings (ISBN: 1877040 14 2, ISSN 1727-1983 Editors Barry Allen and Nigel Lovell)
  16. K. Chen, P. Reaven, M. Lawson, A. Domb, R. Gerkin, D. Bandy and E. Reiman, Quantitative N-13 Ammonia PET MBF Database Of Healthy Subjects And Its Use For Statistical Parametric Mapping Analysis World Congress on Medical Physics and Biomedical Engineering, Aug 24 – 29, 2003, Sydney, Australia, IFMBE Proceedings (ISBN: 1877040 14 2, ISSN 1727-1983 Editors Barry Allen and Nigel Lovell)
  17. K Chen, EM Reiman, RJ Caselli, GE Alexander, Linking Functional and Structural Brain Images with Multivariate Network Analyses: Description and Preliminary Application Using the Partial Least Square Method, World Congress on Medical Physics and Biomedical Engineering, Aug 24 – 29, 2003, Sydney, Australia, IFMBE Proceedings (ISBN: 1877040 14 2, ISSN 1727-1983 Editors Barry Allen and Nigel Lovell)
  18. Lan Lin, Kewei Chen, Gene E Alexander, Jiping He, Jonathan Valla, Jean-Philippe Galons, Beatrice Hauss-Wegrzyniak, Eric M Reiman (2003) Construction of mouse brain MRI templates using spm99, Modelling and control in biomedical systems 2003 – A proceedings volume from the 5th IFAC Symposium Melbourne, Australia, 21-23 August 2003 , 113-118, (ELSEVIER ISBN: 008 044159 9)
  19. Kewei Chen, Eric M. Reiman, Daniel Bandy, Gene E. Alexander, (2003) “Monte-Carlo based neuroimaging set-level multiple-comparison correction”, – A proceedings volume from the 5th IFAC Symposium Melbourne, Australia, 21-23 August 2003 , pages 11-15 (ELSEVIER ISBN 008 044 159 9)
  20. H. Guo, R. Renaut, K. Chen, E. Reiman, cluster paper in Europe (where??) 2003 Guo H, Renaut R, Chen K, Reiman E, Clustering huge data sets for parametric PET imaging, Biosystems. 2003 Sep;71(1-2):81-92.
  21. C. Negoita, R. Renaut, K. Chen, Determination of individual cerebral glucose uptake parameters in PET Alzheimer studies utilizing a non-invasive acquision procedure, Proceedings of the international conference on mathematics and engineering techniques in medicine and biological sciences. Las Vegas, Nevada, June 26-29, 2000 Volume I:369-375, Editor: F. Valafar.
  22. Z. Xie, G. Farin, Iterative hierarchical brain deformation. Proceedings of the international conference on mathematics and engineering techniques in medicine and biological sciences. Las Vegas, Nevada, June 26-29, 2000, Volume I:383-389, Editor: F. Valafar.
  23. K. Chen, E. Reiman, G. Alexander, D. Bandy, Longitudinal brain atrophy measurement evaluated by MRI and an iterative prinicipal component analysis. Proceedings of the international conference on mathematics and engineering techniques in medicine and biological sciences. Las Vegas, Nevada, June 26-29, 2000, Volume I:390-396, Editor: F. Valafar.
  24. C. Chen, R. Renaut, K. Chen, Total least square image reconstruction for positron emission tomography, Proceedings of the international conference on mathematics and engineering techniques in medicine and biological sciences. Las Vegas, Nevada, June 26-29, 2000 Volume I:403-407, Editor: F. Valafar.
  25. D. Ho, D. Feng, K Chen, “Algorithms for fast estimation of CBF & CMRO in O-15 dynamic PET: A simulatin study on their performances” in: Simulation in the medical sciences: Proceedings of 1997 Western Multiconference” Jan 12-15 1997 (edited by J Anderson and M Katzper”. pp139-144 (ISBN# 1-56555-105-2)
  26. D. Ho, D. Feng & K. Chen, “Simultaneous Analysis of Noisy Signals obtained from Multiple Experiments, with Application to Deriving Brain Functional Images”, Proceedings, IEEE Region Ten Conference, Perth, pp452-455, 27-29/11/96,
  27. Kewei Chen, Sung-Cheng Huang, Michael Lawson, Eric Reiman, Dagan Feng, Dino Ho, Daniel Bandy, Lang-sheng Yun, Karl Sun, Anita Palant Generalized linear least squares method for estimating myocardial blood flow with N-13 ammonia positron emission tomography, Proceedings, SPIE International Symposium on Medical Imaging, Vol 2709, p. 234-243 (publication date: 04/1996). Physioligy and function from multimensional images. Eric A. Hoffman Ed.
  28. Kewei Chen,   Eric M Reiman, Michael Lawson, Lang-sheng Yun, Daniel Bandy, and Anita Palant, Methods for the Correction of Vascular Artifacts in PET O-15 Water Brain Mapping Studies   IEEE Nuclear science symposium and medical imaging conference record, Vol 2, 1307-1310, 1995

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