Research Topics
| Zhe ChenSummaryAffiliation: Harvard University Country: USA Publications
| Collaborators |
Detail Information
Publications
Assessment of autonomic control and respiratory sinus arrhythmia using point process models of human heart beat dynamicsZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
IEEE Trans Biomed Eng 56:1791-802. 2009..Our paradigm suggests a possible framework for designing a device for ambulatory monitoring and assessment of autonomic control in both laboratory research and clinical practice...
An empirical quantitative EEG analysis for evaluating clinical brain deathZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Conf Proc IEEE Eng Med Biol Soc 2007:3880-3. 2007..The empirical results reported in this paper suggest some promising directions and valuable clues for clinical practice...- An empirical EEG analysis in brain death diagnosis for adultsZhe Chen
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Wako Shi, Saitama, 351 0198, Japan
Cogn Neurodyn 2:257-71. 2008..We report statistically significant differences of quantitative statistics with real-life EEG recordings in such a clinical study, and we also present interpretation and discussions on the preliminary experimental results... - Characterizing nonlinear heartbeat dynamics within a point process frameworkZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Conf Proc IEEE Eng Med Biol Soc 2008:2781-4. 2008..The proposed probabilistic model was examined with two recorded heartbeat interval data sets. Preliminary results show that our model is beneficial to characterize the inherent nonlinearity of the heartbeat dynamics... - Statistical inference for assessing functional connectivity of neuronal ensembles with sparse spiking dataZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, 02114, USA
IEEE Trans Neural Syst Rehabil Eng 19:121-35. 2011..The identification of spiking dependencies in physiologically acquired data was encouraging, since their sparse nature would have previously precluded them from successful analysis using traditional methods... - Motor cortical networks for skilled movements have dynamic properties that are related to accurate reachingDavid F Putrino
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Neural Plast 2011:413543. 2011..The results of this study indicate that reach-related neurons in MI form dynamic spiking dependencies whose temporal features are highly sensitive to unforced movement errors... - Characterizing nonlinear heartbeat dynamics within a point process frameworkZhe Chen
Neuroscience Statistics Research Laboratory, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
IEEE Trans Biomed Eng 57:1335-47. 2010..In comparison to other nonlinear modeling approaches, the point process probability model is useful in revealing nonlinear heartbeat dynamics at a fine timescale and with only short duration recordings... - Dynamic assessment of baroreflex control of heart rate during induction of propofol anesthesia using a point process methodZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Ann Biomed Eng 39:260-76. 2011.... - Assessment of hippocampal and autonomic neural activity by point process modelsRiccardo Barbieri
Neuroscience Statistics Research Laboratory, Dept of Anesthesia and Critical Care, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
Conf Proc IEEE Eng Med Biol Soc 2008:3679. 2008..The first studies how hippocampal neural activity represents and transmits information, whereas the second is aimed at characterizing activity of the central autonomic network as involved in cardiovascular control... - A differential autoregressive modeling approach within a point process framework for non-stationary heartbeat intervals analysisZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Conf Proc IEEE Eng Med Biol Soc 2010:3567-70. 2010..Results further demonstrate the ability of the method to appropriately quantify the non-stationary evolution of baroreflex sensitivity in changing physiological and pharmacological conditions... - Instantaneous assessment of autonomic cardiovascular control during general anesthesiaZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Conf Proc IEEE Eng Med Biol Soc 2011:8444-7. 2011.... - Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN statesZhe Chen
Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Neural Comput 21:1797-862. 2009..Our approach provides a statistical characterization of UP-DOWN state dynamics that can serve as a basis for verifying and refining mechanistic descriptions of this process... - Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesiaZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Conf Proc IEEE Eng Med Biol Soc 2009:5336-9. 2009..Our proposed statistical indices provide a valuable quantitative assessment of instantaneous cardiorespiratory control and heart rate variability (HRV) during general anesthesia... - A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular controlZhe Chen
Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School Boston, MA, USA
Front Physiol 3:4. 2012..We also discuss the limitations and other alternative modeling strategies of our point process approach... - A regularized point process generalized linear model for assessing the functional connectivity in the cat motor cortexZhe Chen
Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Conf Proc IEEE Eng Med Biol Soc 2009:5006-9. 2009..The point process model was applied to an ensemble of neurons recorded from the cat motor cortex during a skilled reaching task. The implications of this analysis to the coding of skilled movement in primary motor cortex is discussed... 
Uncovering spatial topology represented by rat hippocampal population neuronal codesZhe Chen
Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
J Comput Neurosci 33:227-55. 2012..This study would also provide useful insights for future exploratory data analysis of population neuronal codes during periods of sleep...- Mapping of visual receptive fields by tomographic reconstructionGordon Pipa
Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
Neural Comput 24:2543-78. 2012.... - Differentiation and integration: guiding principles for analyzing cognitive changeRobert S Siegler
Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Dev Sci 11:433-48. 2008..Requests for explanations appeared to operate through helping children notice potential explanatory variables, formulate more advanced rules, and generalize the rules to novel problems... - Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidentsChristos Papadelis
Aristotle University of Thessaloniki, School of Medicine, Laboratory of Medical Informatics, PO Box 323, 54124 Thessaloniki, Greece
Clin Neurophysiol 118:1906-22. 2007....