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arXiv 2017年

作者： Wu, Jing Casimo, Kaitlyn Caldwell, David J. Rao, Rajesh P.N. Ojemann, Jeffrey G. Department of Bioengineering University of Washington SeattleWA98105 United States United States Graduate Program in Neuroscience University of Washington SeattleWA98105 United States CSNE Department of Computer Science University of Washington SeattleWA98105 United States Department of Neurosurgery University of Washington SeattleWA98105 United States

Identification of intended movement type and movement phase of hand grasp shaping are critical features for the control of volitional neuroprosthetics. We demonstrate that neural dynamics during visually-guided imagined grasp shaping can encode intended movement. We apply Procrustes analysis and LASSO regression to achieve 72% accuracy (chance = 25%) in distinguishing between visually-guided imagined grasp trajectories. Further, we can predict the stage of grasp shaping in the form of elapsed time from start of trial (R2=0.4). Our approach contributes to more accurate single-trial decoding of higher-level movement goals and the phase of grasping movements in individuals not trained with brain-computer interfaces. We also find that the overall time-varying trajectory structure of imagined movements tend to be consistent within individuals, and that transient trajectory deviations within trials return to the task-dependent trajectory mean. These overall findings may contribute to the further understanding of the cortical dynamics of human motor imagery. Copyright © 2017, The Authors. All rights reserved.

关键词： Trajectories

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Multi-modality in gene regulatory networks with slow promoter kinetics

arXiv

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arXiv 2017年

作者： Al-Radhawi, M. Ali Vecchio, Domitilla Del Sontag, Eduardo D. Department of Mechanical Engineering Massachusetts Institute of Technology CambridgeMA02139-4307 United States Departments of Bioengineering and of Electrical and Computer Engineering Northeastern University BostonMA02115 United States Harvard Program in Therapeutic Science Harvard Medical School BostonMA02115 United States

Phenotypical variability in the absence of genetic variation often reflects complex energetic landscapes associated with underlying gene regulatory networks (GRNs). In this view, different phenotypes are associated with alternative states of complex nonlinear systems: stable attractors in deterministic models or modes of stationary distributions in stochastic descriptions. We provide theoretical and practical characterizations of these landscapes, specifically focusing on stochastic slow promoter kinetics, a time scale relevant when transcription factor binding and unbinding are affected by epigenetic processes like DNA methylation and chromatin remodeling. In this case, largely unexplored except for numerical simulations, adiabatic approximations of promoter kinetics are not appropriate. In contrast to the existing literature, we provide rigorous analytic characterizations of multiple modes. A general formal approach gives insight into the influence of parameters and the prediction of how changes in GRN wiring, for example through mutations or artificial interventions, impact the possible number, location, and likelihood of alternative states. We adapt tools from the mathematical field of singular perturbation theory to represent stationary distributions of Chemical Master Equations for GRNs as mixtures of Poisson distributions and obtain explicit formulas for the locations and probabilities of metastable states as a function of the parameters describing the system. As illustrations, the theory is used to tease out the role of cooperative binding in stochastic models in comparison to deterministic models, and applications are given to various model systems, such as toggle switches in isolation or in communicating populations, a synthetic oscillator and a trans-differentiation network. Copyright © 2017, The Authors. All rights reserved.

关键词： Stochastic systems

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Landscape of somatic mutations in 560 breast cancer whole-genome sequences (vol 534, pg 47, 2016)

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NATURE 2019年第7742期566卷 E1-E1页

作者： Nik-Zainal, Serena Davies, Helen Staaf, Johan Ramakrishna, Manasa Glodzik, Dominik Zou, Xueqing Martincorena, Inigo Alexandrov, Ludmil B. Martin, Sancha Wedge, David C. Van Loo, Peter Ju, Young Seok Smid, Marcel Brinkman, Arie B. Morganella, Sandro Aure, Miriam R. Lingjaerde, Ole Christian Langerod, Anita Ringner, Markus Ahn, Sung-Min Boyault, Sandrine Brock, Jane E. Broeks, Annegien Butler, Adam Desmedt, Christine Dirix, Luc Dronov, Serge Fatima, Aquila Foekens, John A. Gerstung, Moritz Hooijer, Gerrit K. J. Jang, Se Jin Jones, David R. Kim, Hyung-Yong King, Tari A. Krishnamurthy, Savitri Lee, Hee Jin Lee, Jeong-Yeon Li, Yilong McLaren, Stuart Menzies, Andrew Mustonen, Ville O'Meara, Sarah Pauporte, Iris Pivot, Xavier Purdie, Colin A. Raine, Keiran Ramakrishnan, Kamna Rodriguez-Gonzalez, F. German Romieu, Gilles Sieuwerts, Anieta M. Simpson, Peter T. Shepherd, Rebecca Stebbings, Lucy Stefansson, Olafur A. Teague, Jon Tommasi, Stefania Treilleux, Isabelle Van den Eynden, Gert G. Vermeulen, Peter Vincent-Salomon, Anne Yates, Lucy Caldas, Carlos van't Veer, Laura Tutt, Andrew Knappskog, Stian Tan, Benita Kiat Tee Jonkers, Jos Borg, Ake Ueno, Naoto T. Sotiriou, Christos Viari, Alain Futreal, P. Andrew Campbell, Peter J. Span, Paul N. Van Laere, Steven Lakhani, Sunil R. Eyfjord, Jorunn E. Thompson, Alastair M. Birney, Ewan Stunnenberg, Hendrik G. de Vijver, Marc J. van Martens, John W. M. Borresen-Dale, Anne-Lise Richardson, Andrea L. Kong, Gu Thomas, Gilles Stratton, Michael R. Wellcome Trust Sanger Institute Hinxton Cambridge UK East Anglian Medical Genetics Service Cambridge University Hospitals NHS Foundation Trust Cambridge UK Division of Oncology and Pathology Department of Clinical Sciences Lund Lund University Lund Sweden Theoretical Biology and Biophysics (T-6) Los Alamos National Laboratory Los Alamos USA Center for Nonlinear Studies Los Alamos National Laboratory Los Alamos USA Department of Human Genetics University of Leuven Leuven Belgium Department of Medical Oncology Erasmus MC Cancer Institute and Cancer Genomics Netherlands Erasmus University Medical Center Rotterdam The Netherlands Radboud University Department of Molecular Biology Faculty of Science Nijmegen The Netherlands European Molecular Biology Laboratory European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton UK Department of Cancer Genetics Institute for Cancer Research Oslo University Hospital The Norwegian Radium Hospital Oslo Norway K. G. Jebsen Centre for Breast Cancer Research Institute for Clinical Medicine University of Oslo Oslo Norway Department of Computer Science University of Oslo Oslo Norway Gachon Institute of Genome Medicine and Science Gachon University Gil Medical Center Incheon South Korea Translational Research Lab Centre Léon Bérard Lyon Cedex 08 France Department of Pathology Brigham and Women’s Hospital Boston USA The Netherlands Cancer Institute Amsterdam The Netherlands Breast Cancer Translational Research Laboratory Université Libre de Bruxelles Institut Jules Bordet Brussels Belgium Translational Cancer Research Unit Center for Oncological Research Faculty of Medicine and Health Sciences University of Antwerp Antwerp Belgium Dana-Farber Cancer Institute Boston Massachusetts USA Department of Pathology Academic Medical Center Amsterdam The Netherlands Department of Pathology Asan Medical Center College of Medicine Ulsan University Ulsan South Korea Department of Pathology College of Medicine Hany

In the Methods section of this Article, 'greater than' should have been 'less than' in the sentence 'Putative regions of clustered rearrangements were identified as having an average inter-rearrangement distance that was at least 10 times greater than the whole-genome average for the individual sample. '. The Article has not been corrected.

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

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Scientific data 2021年第1期8卷 242页

作者： Julien Cohen-Adad Eva Alonso-Ortiz Mihael Abramovic Carina Arneitz Nicole Atcheson Laura Barlow Robert L Barry Markus Barth Marco Battiston Christian Büchel Matthew Budde Virginie Callot Anna J E Combes Benjamin De Leener Maxime Descoteaux Paulo Loureiro de Sousa Marek Dostál Julien Doyon Adam Dvorak Falk Eippert Karla R Epperson Kevin S Epperson Patrick Freund Jürgen Finsterbusch Alexandru Foias Michela Fratini Issei Fukunaga Claudia A M Gandini Wheeler-Kingshott Giancarlo Germani Guillaume Gilbert Federico Giove Charley Gros Francesco Grussu Akifumi Hagiwara Pierre-Gilles Henry Tomáš Horák Masaaki Hori James Joers Kouhei Kamiya Haleh Karbasforoushan Miloš Keřkovský Ali Khatibi Joo-Won Kim Nawal Kinany Hagen H Kitzler Shannon Kolind Yazhuo Kong Petr Kudlička Paul Kuntke Nyoman D Kurniawan Slawomir Kusmia René Labounek Maria Marcella Laganà Cornelia Laule Christine S Law Christophe Lenglet Tobias Leutritz Yaou Liu Sara Llufriu Sean Mackey Eloy Martinez-Heras Loan Mattera Igor Nestrasil Kristin P O'Grady Nico Papinutto Daniel Papp Deborah Pareto Todd B Parrish Anna Pichiecchio Ferran Prados Àlex Rovira Marc J Ruitenberg Rebecca S Samson Giovanni Savini Maryam Seif Alan C Seifert Alex K Smith Seth A Smith Zachary A Smith Elisabeth Solana Y Suzuki George Tackley Alexandra Tinnermann Jan Valošek Dimitri Van De Ville Marios C Yiannakas Kenneth A Weber Ii Nikolaus Weiskopf Richard G Wise Patrik O Wyss Junqian Xu NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. jcohen@polymtl.ca. Functional Neuroimaging Unit CRIUGM Université de Montréal Montreal QC Canada. jcohen@polymtl.ca. Mila - Quebec AI Institute Montreal QC Canada. jcohen@polymtl.ca. NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. Department of Radiology Swiss Paraplegic Centre Nottwil Switzerland. Centre for Advanced Imaging The University of Queensland Brisbane Australia. Department of Radiology University of British Columbia Vancouver BC Canada. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown MA USA. Department of Radiology Harvard Medical School Boston MA USA. Harvard-Massachusetts Institute of Technology Health Sciences & Technology Cambridge MA USA. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia. NMR Research Unit Queen Square MS Centre UCL Queen Square Institute of Neurology Faculty of Brain Sciences University College London London UK. Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany. Department of Neurosurgery Medical College of Wisconsin Milwaukee WI USA. Aix-Marseille Univ CNRS CRMBM Marseille France. APHM Hopital Universitaire Timone CEMEREM Marseille France. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville TN USA. Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada. CHU Sainte-Justine Research Centre Montreal QC Canada. Centre de Recherche CHUS CIMS Sherbrooke Canada. Sherbrooke Connectivity Imaging Lab (SCIL) Computer Science department Université de Sherbrooke Sherbrooke Canada. Université de Strasbourg CNRS ICube Strasbourg France. UHB - University Hospital Brno and Masaryk University Department of Radiology and Nuclear

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Publisher Correction: Brain-machine interface cursor position only weakly affects monkey and human motor cortical activity in the absence of arm movements

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Scientific reports 2019年第1期9卷 5528页

作者： Sergey D Stavisky Jonathan C Kao Paul Nuyujukian Chethan Pandarinath Christine Blabe Stephen I Ryu Leigh R Hochberg Jaimie M Henderson Krishna V Shenoy Neurosurgery Department Stanford University Stanford CA USA. sergey.stavisky@stanford.edu. Electrical Engineering Department Stanford University Stanford CA USA. sergey.stavisky@stanford.edu. Electrical Engineering Department Stanford University Stanford CA USA. Electrical and Computer Engineering Department University of California at Los Angeles Los Angeles CA USA. Neurosurgery Department Stanford University Stanford CA USA. Bioengineering Department Stanford University Stanford CA USA. Stanford Wu Tsai Neurosciences Institute Stanford University Stanford CA USA. Bio-X Program Stanford University Stanford CA USA. Neurosurgery Department Palo Alto Medical Foundation Palo Alto CA USA. Center for Neurorestoration and Neurotechnology Rehabilitation R&D Service VA Medical Center Providence RI USA. School of Engineering and Carney Institute for Brain Science Brown University Providence RI USA. Department of Neurology Harvard Medical School Boston MA USA. Center for Neurotechnology and Neurorecovery Department of Neurology Massachusetts General Hospital Boston MA USA. Neurobiology Department Stanford University Stanford CA USA. Howard Hughes Medical Institute at Stanford University Stanford CA USA.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

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Evaluation of Three Machine Learning Algorithms as Classifiers of Premature Ventricular Contractions on ECG beats.

Evaluation of Three Machine Learning Algorithms as Classifie...

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Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges Conference

作者： M. M. Casas R. L. Avitia M. A. Reyna A. Cárdenas Bioengineering Graduate Program Autonomous University of Baja California. Mexicali BC Mex Department of Bioengineering and Environmental Health Autonomous University of Baja California Mexicali BC Mex Mathematics and Computer Science Department University of Missouri-St Louis MO USA

ISBN: (纸本)9781509024872

According to the World Health Organization, cardiovascular diseases (CVD) are the main cause of death worldwide. An estimated 17.5 million people died from CVD in 2012, representing 31% of all global deaths. The electrocardiogram (ECG) is a central tool for the pre-diagnosis of heart diseases. Many advances on ECG arrhythmia classification have been developed in the last century;however, there is still research to identify malignant waveforms on ECG beats. The premature ventricular complexes (PVC) are known to be associated with malignant ventricular arrhythmias and in sudden cardiac death (SCD) cases. Detecting this kind of arrhythmia has been crucial in clinical applications. In this work, we extracted 80 different features from 108,653 ECG classified beats of the MIT-BIH database in order to classify the Normal, PVC and other kind of ECG beats. We evaluated three classifier algorithms based on Machine Learning with different parameters and we got a total of 14 models. We used the F1 score and we compared predictive values as a measured of classifier evaluations. Results show that we could have a F1 scores near to the unit, showing the models are higher than 93% of performance.

关键词： Electrocardiogram (ECG) Premature Ventricular Contraction (PVC) Arrhythmia classifier Logistic Regression (LG) Neural Network (NN) Support Vector Machines (SVM)

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Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing

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Nature biotechnology 2020年第4期38卷 504页

作者： Christian Lieven Moritz E Beber Brett G Olivier Frank T Bergmann Meric Ataman Parizad Babaei Jennifer A Bartell Lars M Blank Siddharth Chauhan Kevin Correia Christian Diener Andreas Dräger Birgitta E Ebert Janaka N Edirisinghe José P Faria Adam M Feist Georgios Fengos Ronan M T Fleming Beatriz García-Jiménez Vassily Hatzimanikatis Wout van Helvoirt Christopher S Henry Henning Hermjakob Markus J Herrgård Ali Kaafarani Hyun Uk Kim Zachary King Steffen Klamt Edda Klipp Jasper J Koehorst Matthias König Meiyappan Lakshmanan Dong-Yup Lee Sang Yup Lee Sunjae Lee Nathan E Lewis Filipe Liu Hongwu Ma Daniel Machado Radhakrishnan Mahadevan Paulo Maia Adil Mardinoglu Gregory L Medlock Jonathan M Monk Jens Nielsen Lars Keld Nielsen Juan Nogales Intawat Nookaew Bernhard O Palsson Jason A Papin Kiran R Patil Mark Poolman Nathan D Price Osbaldo Resendis-Antonio Anne Richelle Isabel Rocha Benjamín J Sánchez Peter J Schaap Rahuman S Malik Sheriff Saeed Shoaie Nikolaus Sonnenschein Bas Teusink Paulo Vilaça Jon Olav Vik Judith A H Wodke Joana C Xavier Qianqian Yuan Maksim Zakhartsev Cheng Zhang Novo Nordisk Foundation Center for Biosustainability Technical University of Denmark Lyngby Denmark. Systems Biology Lab Amsterdam Institute of Molecular and Life Sciences (AIMMS) Vrije Universiteit Amsterdam Amsterdam the Netherlands. BioQUANT/COS Heidelberg University Heidelberg Germany. Ecole Polytechnique Fédérale de Lausanne Laboratory of Computational Systems Biotechnology Lausanne Switzerland. iAMB-Institute of Applied Microbiology ABBt-Aachen Biology and Biotechnology RWTH Aachen University Aachen Germany. Department of Bioengineering University of California La Jolla CA USA. Department of Chemical Engineering and Applied Chemistry University of Toronto Toronto Ontario Canada. Human Systems Biology Laboratory Instituto Nacional de Medicina Genomica & Coordinación de la Investigación Científica-Red de Apoyo a la Investigación UNAM Mexico City Mexico. Institute for Systems Biology Seattle WA USA. Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens Institute for Biomedical Informatics (IBMI) Tübingen Germany. Department of Computer Science University of Tübingen Tübingen Germany. German Center for Infection Research (DZIF) partner site Tübingen Tübingen Germany. Australian Institute for Bioengineering and Nanotechnology The University of Queensland Brisbane Queensland Australia. Argonne National Laboratory Lemont IL USA. Analytical Biosciences Division of Systems Biomedicine and Pharmacology Leiden Academic Centre for Drug Research Leiden University Leiden the Netherlands. Department of Systems Biology Centro Nacional de Biotecnología Consejo Superior de Investigaciones Científicas (CNB-CSIC) Madrid Spain. Centro de Biotecnología y Genómica de Plantas (CBGP UPM-INIA) Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) Madrid Spain. Department of Animal and Aquacultural Sciences Faculty of Biosciences Norwegian University of Life Sciences Oslo Norway

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Fano Resonances: Tunable Fano Resonance and Plasmon–Exciton Coupling in Single Au Nanotriangles on Monolayer WS2at Room Temperature (Adv. Mater. 22/2018)

引用

Advanced Materials 2018年第22期30卷

作者： Mingsong Wang Alex Krasnok Tianyi Zhang Leonardo Scarabelli He Liu Zilong Wu Luis M. Liz‐Marzán Mauricio Terrones Andrea Alù Yuebing Zheng Department of Mechanical Engineering Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 USA Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 USA Department of Materials Science and Engineering The Pennsylvania State University University Park PA 16802 USA Bionanoplasmonics Laboratory CIC biomaGUNE Paseo de Miramón 182 20014 Donostia‐San Sebastián Spain Department of Chemistry and Biochemistry California NanoSystems Institute University of California Los Angeles Los Angeles CA 90095 USA Department of Chemistry The Pennsylvania State University University Park PA 16802 USA Ikerbasque Basque Foundation for Science 48013 Bilbao Spain Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine CIBER‐BBN 20014 Donostia‐San Sebastián Spain Department of Physics and Center for 2‐Dimensional and Layered Materials The Pennsylvania State University University Park PA 16802 USA Department of Materials Science and Engineering & Chemical Engineering Carlos III University of Madrid Avenida Universidad 30 28911 Leganés Madrid Spain IMDEA Materials Institute Eric Kandel 2 Getafe Madrid 28005 Spain

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Optical excitation and detection of neuronal activity

arXiv

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arXiv 2017年

作者： Hu, Chenfei Sam, Richard Shan, Mingguang Nastasa, Viorel Wang, Minqi Kim, Taewoo Gillette, Martha Sengupta, Parijat Popescu, Gabriel Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States School of Molecular and Cellular Biology University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Bioengineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Cell and Developmental Biology University of Illinois at Urbana-Champaign UrbanaIL61801 United States Neuroscience Program University of Illinois at Urbana-Champaign UrbanaIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign UrbanaIL61801 United States College of Information and Communication Engineering Harbin Engineering University Harbin Heilongjiang150001 China National Institute for Laser Plasma and Radiation Physics Magurele Ilfov Bucharest077125 Romania

Optogenetics has emerged as an exciting tool for manipulating neural activity, which in turn, can modulate behavior in live organisms. However, detecting the response to the optical stimulation requires electrophysiology with physical contact or fluorescent imaging at target locations, which is often limited by photobleaching and phototoxicity. In this paper, we show that phase imaging can report the intracellular transport induced by optogenetic stimulation. We developed a multimodal instrument that can both stimulate cells with subcellular spatial resolution and detect optical pathlength changes with nanometer scale sensitivity. We found that optical pathlength fluctuations following stimulation are consistent with active organelle transport. Furthermore, the results indicate a broadening in the transport velocity distribution, which is significantly higher in stimulated cells compared to optogenetically inactive cells. It is likely that this label-free, contactless measurement of optogenetic response will provide an enabling approach to neuroscience. Copyright © 2017, The Authors. All rights reserved.

关键词： Electrophysiology

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