THE ONLINE BRAIN ATLAS RECONCILIATION TOOL
Partha Pratim Mitra, Professor
Cold Spring Harbor Laboratory, P.o. Box 100, Cold Spring Harbor, Ny 11724
Grant 1R01MH084802-01A2 from National Institute Of Mental Health
Abstract: Currently in the neuroimaging community (and elsewhere in neuroscience), researchers employ a variety of deferent procedures and atlases to parcellate and label brain regions that are of interest in their work. The result is that many dierent labels are used to indicate the same spatial region, and in some cases, the same label is used to indicate dierent regions. This well-known nomenclature problem, which has the negative consequence of making cross-study comparison especially dicult, has previously been addressed by developing semantic mappings between synonymous and/or hierarchically-related region labels. How- ever, the spatial relationships between regions as delineated by dierent atlases can be quite complex, are poorly understood, and are not adequately captured by such semantic mappings. We have developed a new approach to this atlas concordance problem based on analyzing the spatial relationships between various brain parcellations. By applying our metrics to dierent parcellation schemes now in use, we found that the overall concordance between partitions is rather poor, which suggests the need for a meta-atlas" or systematic procedures for mapping between dierent atlases. Through this grant proposal, we wish to expand upon the tools and methods which we have developed for this purpose, and make them available to the neuroscience community. The rest specic aim will be to make the atlas comparison and meta-analysis tools available online through an interactive, customizable website. The second aim is for algorithmic innovations to enhance the concordance analysis of brain parcellations and nomenclatures. This will include the incorporation of additional atlases and functionality as well as further theoretical developments of overall atlas concordance measures. The third aim is integration with BIRN and caBIG infrastructures. This will include mappings from the brain region labels used in the analyzed atlases to the BIRNLex ontology, additional web services within the BIRN Atlas Interoperability Framework, and adding appropriate functionality to the neuroimage processing pipelines on the BIRN GRID. Successful completion of our project will enhance data integration and meta-analysis of neuroimaging data sets, and broadly impact both basic and clinical research in neurology and neuropsychiatry. Functional brain imaging techniques have revolutionized basic and clinical neuroscience, but there are some signicant challenges - particularly, a multiplicity of brain atlases and nomenclature schemes that make cross-study comparison and meta analysis dicult. We have developed a framework to deal with this atlas concordance problem, including quantitative measures and software tools. The proposed research will make these tools available to the general neuroimaging community, expand and improve the preliminary analysis and will integrate with the BIRN and caBIG infrastructures
Keywords: Address; Agreement; Algorithms; Applications Grants; Area; Atlases; Attention; Brain; Brain imaging; Brain region; Brain scan; Clinical; Clinical Research; Clinical Study; Clinical Trial Overviews; Communities; Complex; Computer Programs; Computer Software Tools; Computer software; Custom; Data; Data Pooling; Data Poolings; Data Set; Dataset; Development; Disease; Disorder; Encephalon; Encephalons; Ensure; Environment; Extensible Markup Language; Grant Proposals; Grants, Applications; Housing; Human; Human, General; Image; Imaging Procedures; Imaging Techniques; Infrastructure; Internet; Investigators; Label; Link; MR Imaging; MR Tomography; MRI; Magnetic Resonance Imaging; Magnetic Resonance Imaging Scan; Mammals, Mice; Man (Taxonomy); Man, Modern; Maps; Masks; Measures; Medical Imaging, Magnetic Resonance / Nuclear Magnetic Resonance; Meta-Analyses; Meta-Analysis; Method LOINC Axis 6; Methodology; Methods; Methods and Techniques; Methods, Other; Metric; Mice; Murine; Mus; NMR Imaging; NMR Tomography; Nervous System, Brain; Network-based; Neurology; Neurosciences; Nomenclature; Nuclear Magnetic Resonance Imaging; Ontology; Procedures; Process; Programs (PT); Programs [Publication Type]; Property; Property, LOINC Axis 2; Protocol; Protocols documentation; Research; Research Design; Research Infrastructure; Research Personnel; Research Resources; Researchers; Resources; Rest; Scheme; Semantic; Semantics; Services; Software; Software Tools; Study Type; Surface; Technics, Imaging; Techniques; Testing; Tools, Software; Translating; Translatings; Tweens; WWW; Work; XML; Zeugmatography; acronyms; base; brain visualization; caBIG; cancer Biomedical Informatics Grid; computer program/software; data exchange; data integration; design; designing; disease/disorder; imaging; improved; innovate; innovation; innovative; interest; interoperability; language translation; neuroimaging; neuropsychiatric; neuropsychiatry; new approaches; novel; novel approaches; novel strategies; novel strategy; programs; prototype; public health relevance; repository; spatial relationship; study design; tool; usability; web; web site; world wide web
Relevance: Functional brain imaging techniques have revolutionized basic and clinical neuroscience, but there are some signicant challenges - particularly, a multiplicity of brain atlases and nomenclature schemes that make cross-study comparison and meta analysis dicult. We have developed a framework to deal with this atlas concordance problem, including quantitative measures and software tools. The proposed research will make these tools available to the general neuroimaging community, expand and improve the preliminary analysis and will integrate with the BIRN and caBIG infrastructures
Project start date: 2010-08-01
Project end date: 2013-05-31
Budget start date: 1-AUG-2010
Budget end date: 31-MAY-2011
PFA/PA: PAR-07-426
1R01MH084802-01A2 (2010): $399317
Sponsored Links Excellgen http://Excellgen.com
Grants awarded to Partha Pratim Mitra
THE FIRST COMPREHENSIVE NEURAL CONNECTIVITY MAP OF MOUSE
Partha Pratim Mitra
Cold Spring Harbor Laboratory, P.o. Box 100, Cold Spring Harbor, Ny 11724
Grant 5RC1MH088659-02 from Office Of The Director, National Institutes Of Health
Abstract: This application addresses broad Challenge Area (15) Translational Science and specific Challenge Topic, 15- MH-103 Mapping the Neural Connectivity of a Mouse Model. Brain function is dictated by its circuitry, yet we know little about its wiring architecture in the most-studied mammal (rat), only an estimated 10-30% of the long range circuit connections have been probed. The present Challenge Topic validates the growing consensus that it is time to close this gap by generating brainwide connectivity maps for model vertebrates. Over the last two years, we have organized several meetings involving the neuroanatomy community to gain in-depth understanding of the technical and scientific challenges of such a project. Based on this experience, we have designed and have begun to build and test an automated pipeline of experimental and computational techniques for achieving this goal. Our proposal is enabled by advances in automated wide-field slide scanning microscopy, decreasing data-storage costs, and established tract-tracing methods using injections of classical tracers and engineered viruses. The experimental plan can be summarized as follows. The mouse brain is divided into ~200 regions based on classical neuroanatomical and regional gene-expression data. For each region we inject one mouse with classical tracers and one mouse with viral tracers. From the injection site, the tracers are transported anterogradely to the area´s projection targets and retrogradely to areas which project to the injection site. In this way, individual projections are revealed multiple times. In order to acquire this information, we will section the entire brain from each mouse and image the sections using an automated slide-scanning microscope. The resulting 2D slice-images will be combined in software to produce a 3D reconstructed brain image for each injection. Finally the 3D images from all of the individual injections will be combined by spatially registering them to the Allen Reference Atlas, ultimately generating a unified brainwide neural connectivity map. Generating the first unbiased, brainwide connectivity map in the mouse will have broad neuroscientific implications. The study of neural development, neural network modeling, evolutionary neuroanatomy, and associative and integrative brain function will benefit tremendously from finally having this landmark reference map to meaningfully constrain theories and aid in experimental design and interpretation of results. Relationships between gene expression and connectivity can be probed by analyzing the gene-expression maps generated by the Allen Institute in combination with the connectivity maps generated by this project. The baseline neural connectivity map generated in the present study will serve as a foundation for subsequently studying circuit polymorphisms across mutant mouse lines. The ability to objectively quantify alterations in connectivity in mouse models of neuropsychiatric disorders such as autism and schizophrenia will aid our understanding of their etiology and pathophysiology. Finally, our emphasis on open source software development, cost optimization and duplicability will result in an affordable, integrated instrument which other academic laboratories will be able to implement, so that this approach can be rapidly applied to a wide variety of neuroscientific problems. NARRATIVE The study of mouse models of neuropsychiatric disorders provides hope for the development of therapies for these burdensome illnesses, but progress has been slow due to the lack of knowledge about how the mouse brain is wired. This project aims to close this gap by generating the first brain-wide wiring diagram of mouse, automating techniques that are known to work but are labor-intensive. If successful, the project has the potential to fundamentally transform our understanding of the architecture of the normal and disordered brain
Keywords: 21+ years old; 3D image; Address; Adult; Analysis, Data; Architecture; Area; Atlases; Attention; Autism; Autism, Early Infantile; Autism, Infantile; Autistic Disorder; Automation; Brain; Brain Diseases; Brain Disorders; Brain imaging; Budgets; Causality; Common Rat Strains; Communities; Computational Technique; Computer Programs; Computer software; Connectionist Models; Consensus; Data; Data Analyses; Data Banks; Data Bases; Data Set; Data Storage and Retrieval; Databank, Electronic; Databanks; Database, Electronic; Databases; Dataset; Disease; Disorder; Dysfunction; Economics; Encephalon; Encephalon Diseases; Encephalons; Engineering; Engineering / Architecture; Engineerings; Etiology; Experimental Designs; Foundations; Functional disorder; Gene Expression; Genetic Polymorphism; Genome; Genomics; Goals; Grant; Head Start; Head Start Program; Human Genome Project; Human, Adult; Image; Image Reconstructions; Images, 3-D; Individual; Infrastructure; Injection of therapeutic agent; Injections; Institutes; Intracranial CNS Disorders; Intracranial Central Nervous System Disorders; Jobs; Kanner`s Syndrome; Knowledge; Laboratories; Light Microscope; Mammals, Mice; Mammals, Rats; Maps; Methods; Methods and Techniques; Methods, Other; Mice; Mice, Mutant Strains; Microscope; Microscopy; Modeling; Murine; Mus; Mutant Strains Mice; Nervous; Nervous System, Brain; Neural Development; Neural Network Models; Neural Network Simulation; Neural Networks (Computer); Neuranatomies; Neuranatomy; Neuroanatomies; Neuroanatomy; Neurosciences; Occupations; On-Line Systems; Online Systems; Perceptrons; Phenotype; Physiopathology; Polymorphism (Genetics); Polymorphism, Genetic; Population Study; Preparation; Process; Professional Postions; Program, Head Start; Programs (PT); Programs [Publication Type]; Protocol; Protocols documentation; Rat; Rattus; Recovery; Research; Research Infrastructure; Sampling; Scanning; Schizophrenia; Schizophrenic Disorders; Site; Slice; Slide; Software; Tag; Techniques; Testing; Three-Dimensional Image; Time; TimeLine; Tracer; Translational Research; Translational Research Enterprise; Translational Science; Validation; Variant; Variation; Vertebrate Animals; Vertebrates; Viral; Virus; Viruses, General; Work; ing; adult human (21+); base; brain visualization; clinical data repository; clinical data warehouse; computer program/software; conference; cost; data repository; data retrieval; data storage; dementia praecox; design; designing; develop software; developing computer software; disease causation; disease etiology; disease/disorder; disease/disorder etiology; disorder etiology; experience; experiment; experimental research; experimental study; imaging; innovate; innovation; innovative; instrument; intervention development; male; meetings; mouse model; mouse mutant; neural; neural network (computer simulation of nervous system); neurodevelopment; neuropsychiatric; neuropsychiatry; online computer; open source; pathophysiology; polymorphism; programs; relating to nervous system; relational database; research study; retrograde transport; scale up; schizophrenic; software development; success; symposium; theories; therapy development; tissue processing; translation research enterprise; treatment development; vertebrata; web based
Relevance: 7. NARRATIVE The study of mouse models of neuropsychiatric disorders provides hope for the development of therapies for these burdensome illnesses, but progress has been slow due to the lack of knowledge about how the mouse brain is wired. This project aims to close this gap by generating the first brain-wide wiring diagram of mouse, automating techniques that are known to work but are labor-intensive. If successful, the project has the potential to fundamentally transform our understanding of the architecture of the normal and disordered brain
Project start date: 2009-09-30
Project end date: 2011-08-31
Budget start date: 1-SEP-2010
Budget end date: 31-AUG-2011
PFA/PA: RFA-OD-09-003
5RC1MH088659-02 (2010): $499999
1RC1MH088659-01 (2009): $498858
COMBINING EEG AND MEG TO LOCALIZE DISTRIBUTED SOURCES OF NEURAL ACTIVITY
Partha Pratim Mitra, Professor
Cold Spring Harbor Laboratory, P.o. Box 100, Cold Spring Harbor, Ny 11724
Grant 5R21MH080139-02 from National Institute Of Mental Health
Abstract: The goal of this project is exploratory research into localization of distributed sources of neural activity from joint MEG/EEG measurements, using a recently developed methodology for the inverse problem (Local Basis Expansions or LBEX). Neural dynamics in the 10-100 ms timescale underlie a broad spectrum of cognitive function relevant to the study of mental disorders. EEG and MEG are the only practical noninvasive techniques with this time resolution, but are limited in spatial resolution due to the ill posed inverse problem relating sensor measurements to underlying sources. EEG is more widely used, but also suffers from uncertainties about head conductivity profiles. The MEG inverse problem has proven to be comparatively more tractable. However, MEG is substantially more expensive, and it is desirable to combine the two techniques, so that EEG sources can be better pinpointed using simultaneous MEG measurements. Another reason to combine the two methods is the complementary nature of the inverse problems EEG silent sources can be MEG active, and vice versa. Thanks to recent instrumental advances, simultaneous measurements are now routinely possible, but the joint localization problem has not yet been fully studied. We have developed a methodology for MEG source localization (LBEX), which permits a systematic analysis of resolution limits, through a mathematical treatment of the uncertainty principle governing the inverse problem. In this proposal, we propose to explore extensions of the LBEX method to joint MEG/EEG source localization. Specific aims include (i) a theoretical analysis of the joint localization problem in an idealized spherical model, (ii) evaluation of the performance of the technique in numerical simulations with a realistic head model, and (iii) application of the joint localization technique to simultaneous MEG/EEG recordings obtained through an experimental collaboration. Successful completion of the research program will establish the utility of our algorithmic framework, and will also evaluate the gain obtained from simultaneous MEG/EEG localization. Once the methodology is validated by the exploratory research, we intend in the future to encode the results into user friendly software which will enable widespread usage of joint EEG/MEG localization
Keywords: Adopted; Algorithms; Articulation; Attention; Brain; Classification; Cognitive; Collaborations; Comparative Study; Data; Data Set; Dataset; Disease; Disorder; EEG; Electroencephalography; Encephalon; Encephalons; Ethics; Evaluation; Functional Magnetic Resonance Imaging; Future; Goals; Grant; Head; Human; Human, General; Image; Imaging Procedures; Imaging Techniques; Individual; Instrumentation, Other; Joints; Lead; Location; MR Imaging; MR Tomography; MRI; MRI, Functional; Magnetic Resonance Imaging; Magnetic Resonance Imaging Scan; Magnetic Resonance Imaging, Functional; Man (Taxonomy); Man, Modern; Measurement; Median Nerve; Medical Imaging, Magnetic Resonance / Nuclear Magnetic Resonance; Medical Imaging, Positron Emission Tomography; Mental disorders; Mental health disorders; Method LOINC Axis 6; Methodology; Methods; Methods and Techniques; Methods, Other; Mining; Minings; Modality; Modeling; Msec; NIH; NMR Imaging; NMR Tomography; National Institutes of Health; National Institutes of Health (U.S.); Nature; Nerve Cells; Nerve Unit; Nervous; Nervous System, Brain; Neural Cell; Neurocyte; Neurons; Neurosciences; Nuclear Magnetic Resonance Imaging; PET; PET Scan; PET imaging; PETSCAN; PETT; Pb element; Performance; Physics; Positron Emission Tomography Scan; Positron-Emission Tomography; Programs (PT); Programs [Publication Type]; Proton Magnetic Resonance Spectroscopic Imaging; Psyche structure; Psychiatric Disease; Psychiatric Disorder; Rad.-PET; Research; Resolution; Source; Structure of median nerve; Systematics; Technics, Imaging; Techniques; Time; Uncertainty; United States National Institutes of Health; Unspecified Mental Disorder; Validation; Work; Zeugmatography; base; cognitive function; disease/disorder; doubt; fMRI; heavy metal Pb; heavy metal lead; imaging; improved; insight; instrumentation; interest; median nerve; mental; mental illness; millisecond; neural; neuronal; neuropsychiatric; neuropsychiatry; programs; psychological disorder; relating to nervous system; sensor; simulation; user friendly computer software; user friendly software
Project start date: 2008-02-01
Project end date: 2010-12-31
Budget start date: 1-JAN-2009
Budget end date: 31-DEC-2010
PFA/PA: PA-06-278
5R21MH080139-02 (2009): $189000
Partha Pratim Mitra, Professor
Marine Biological Laboratory, 7 Mbl Street, Woods Hole, Ma 02543
Grant 5R25MH066410-09 from National Institute Of Mental Health
Abstract: The goal of the Neuroinformatics course at the Marine Biological Laboratory is to continue training 25 researchers a year, ranging from advanced students to senior investigators, in statistical and computational techniques for the analysis of a broad spectrum of neuroscientific data. The course spans two weeks, and by emphasizing data analysis and informatics is complementary to the Methods in Computational Neuroscience course at the MBL, which focuses on modeling and theory. The first week consists of pedagogical lectures in statistics, ranging from an elementary introduction to advanced topics. Evenings will have tutorials to help attendees gain experience and concrete understanding. There will also be lectures on data acquisition techniques, stimulus design and the underlying neurobiology. The second week will include focused workshops on various topics, such as neural prostheses, temporal coding, functional MRI. Participants will present their research throughout the course, and analyze their own data in the open laboratory time. All faculty members are expected to interact closely with the attendees and with each other, to analyze specific data sets and to advance the field in general. The course is unique in the spectrum of subjects covered in a unified manner, ranging from multiple spike trains to functional imaging data, and ranging from neuroscience to biomedical engineering. To assist the development of standards in this nascent field, the course presents a unified pedagogical approach grounded in the relevant disciplinary areas of statistics, mathematics and physics, while maintaining intimate ties to neurobiological and biomedical problems. The interdisciplinary scope of the course cannot currently be replicated in a university setting, although the syllabus and experience gathered in this course will prove invaluable for future university courses. Apart from the academic implications, the course has clear consequences for advanced medical technology, and helps involve physical and computer scientists in neurobiology. This application is for continued support of the summer course "Neuroinformatics" offered at the Marine Biological Laboratory. In this course students and senior investigators learn advanced methods for data analysis and informatics. The course presents a unified pedagogical approach grounded in the relevant disciplinary areas of statistics, mathematics and physics, while maintaining intimate ties to neurobiological and biomedical problems. Apart from the academic implications, the course has clear consequences for advanced medical technology, and helps involve physical and computer scientists in neurobiology
Keywords: Analysis, Data; Area; Biological; Biomedical Engineering; Code; Coding System; Computational Technique; Computers; Data; Data Analyses; Data Set; Dataset; Development; Educational workshop; Faculty; Functional Imaging; Functional Magnetic Resonance Imaging; Future; Goals; Informatics; Investigators; Laboratories; Learning; Lectures; Lectures (PT); Lectures [Publication Type]; MRI, Functional; Magnetic Resonance Imaging, Functional; Marines; Mathematics; Medical Technology; Methods; Methods and Techniques; Methods, Other; Modeling; Neurobiology; Neurosciences; Participant; Physics; Physiologic Imaging; Research; Research Personnel; Researchers; Science of Statistics; Scientist; Statistics; Stimulus; Students; Techniques; Time; Training; Universities; Workshop; bioengineering; bioengineering/biomedical engineering; computational neuroscience; data acquisition; design; designing; experience; fMRI; lectures; member; neural prosthesis; neural prosthetic; neurobiological; neuroinformatics; statistics; theories
Project start date: 2002-09-01
Project end date: 2012-07-31
Budget start date: 6-AUG-2010
Budget end date: 31-JUL-2011
PFA/PA: PAR-06-494
5R25MH066410-09 (2010): $145698
5R25MH066410-08 (2009): $144265
2R25MH066410-06 (2007): $141341
THE MISSING CIRCUIT: THE FIRST BRAINWIDE CONNECTIVITY MAP FOR MOUSE
Partha Pratim Mitra, Professor
Cold Spring Harbor Laboratory, P.o. Box 100, Cold Spring Harbor, Ny 11724
Grant 5R01MH087988-02 from Office Of The Director, National Institutes Of Health
Abstract: Brain function is dictated by its circuitry, yet we know little about its wiring architecture in the most-studied mammal (rat), only an estimated 10-30% of the long range circuit connections have been probed. There is growing consensus that it is time to close this gap by generating brainwide connectivity maps for model vertebrates. The mouse is the starting species of choice mouse models form the backbone of research into the etiology of neuropsychiatric disorders, have the most-studied genome of any mammal, and are key to the early stages of drug development. Over the last two years, we have organized several meetings involving the neuroanatomy community to gain in-depth understanding of the technical and scientific challenges of such a project. Based on this experience, we propose to produce the first brainwide connectivity map of mouse, through the development of an automated pipeline of experimental and computational techniques-- a "connectivity scanner". Our proposal is timely and is enabled by advances in automated wide-field slide scanning microscopy, decreasing data-storage costs, and established tract-tracing methods using injections of classical tracers and neurotropic viruses. The need for brain-wide scope and scalability rule out other approaches. To demonstrate the translational utility of the approach, we will also analyze disease model mice (autism and schizophrenia), to understand alterations in the connectivity map compared to the reference map generated in the project. The project does not fit neatly into an existing funding mechanism at the NIH, but has the potential to fundamentally impact the entire neuroscience community. The transformative potential is twofold by generating the first mammalian brainwide connectivity map, we provide the neuroscientific community with a landmark reference map which can be used in a wide variety of contexts. Secondly, our emphasis on open source software development, cost optimization and duplicability will result in an affordable, integrated instrument which other academic laboratories will be able to implement. In this way it borrows from, yet differs significantly from, the model offered by the Allen Institute, which has previously demonstrated the potential of industrial automation for neuroscience. The study of mouse models of neuropsychiatric disorders provides hope for the development of therapies for these burdensome illnesses, but progress has been slow due to the lack of knowledge about how the mouse brain is wired. This project aims to close this gap by generating the first brain-wide wiring diagram of mouse, using automating techniques that are known to work but are labor- intensive. If successful, the project has the potential to fundamentally transform our understanding of brain function and brain disorders
Keywords: Architecture; Autism; Autism, Early Infantile; Autism, Infantile; Autistic Disorder; Automation; Brain; Brain Diseases; Brain Disorders; Causality; Common Rat Strains; Communities; Computational Technique; Consensus; Data Storage and Retrieval; Development; Disease; Disease model; Disorder; Encephalon; Encephalon Diseases; Encephalons; Engineering / Architecture; Etiology; Funding Mechanisms; Genome; Injection of therapeutic agent; Injections; Institutes; Intracranial CNS Disorders; Intracranial Central Nervous System Disorders; Kanner`s Syndrome; Knowledge; Laboratories; Mammalia; Mammals; Mammals, General; Mammals, Mice; Mammals, Rats; Maps; Methods; Methods and Techniques; Methods, Other; Mice; Microscopy; Modeling; Murine; Mus; NIH; National Institutes of Health; National Institutes of Health (U.S.); Nervous System, Brain; Neuranatomies; Neuranatomy; Neuroanatomies; Neuroanatomy; Neurosciences; Rat; Rattus; Research; Scanning; Schizophrenia; Schizophrenic Disorders; Slide; Spinal Column; Spine; Staging; Tag; Techniques; Time; Tracer; United States National Institutes of Health; Vertebral column; Vertebrate Animals; Vertebrates; Work; backbone; base; cost; data retrieval; data storage; dementia praecox; develop software; developing computer software; disease causation; disease etiology; disease/disorder; disease/disorder etiology; disorder etiology; disorder model; drug development; experience; instrument; intervention development; meetings; mouse model; neuropsychiatric; neuropsychiatry; neurotropic virus; open source; public health relevance; schizophrenic; software development; therapy development; treatment development; vertebrata
Relevance: The study of mouse models of neuropsychiatric disorders provides hope for the development of therapies for these burdensome illnesses, but progress has been slow due to the lack of knowledge about how the mouse brain is wired. This project aims to close this gap by generating the first brain-wide wiring diagram of mouse, using automating techniques that are known to work but are labor- intensive. If successful, the project has the potential to fundamentally transform our understanding of brain function and brain disorders
Project start date: 2009-09-30
Project end date: 2014-05-31
Budget start date: 1-JUN-2010
Budget end date: 31-MAY-2011
PFA/PA: RFA-RM-08-029
5R01MH087988-02 (2010): $648174
1R01MH087988-01 (2009): $1048290
Partha Pratim Mitra
Cold Spring Harbor Laboratory
Project start date: 2009-09-30
Project end date: 2014-03-31