متاآنالیز تصویر برداری عصبی

Half day afternoon course

Friday 28th September 2018 / 6th Mehr 1397 (14:00-19:00)

Speakers:

Simon Eickhoff MD, PhD
Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine University Dusseldorf, Germany

Masoud Tahmasian MD, PhD
Shahid Beheshti University, Tehran, Iran

Functional and structural neuroimaging has provided a wealth of information on the cerebral localization of mental functions. In spite of its success, however, several limitations restrict the knowledge that may be gained from each individual experiment. These include a usually rather small sample size, limited reliability of an indirect signal like BOLD fMRI and the need to base inference on relative contrasts between conditions. Such limitations have raised some concerns on the interpretability and validity neuroimaging results, but have also encouraged the development of quantitative meta- analysis approaches. Neuroimaging meta-analysis is used to summarize a vast amount of research findings across a large number of participants and diverse experimental settings. Such integration then enables statistically valid generalizations on the neural basis of psychological processes in health and disease. They also permit comparisons of different tasks or processes to each other and the modeling of interacting networks. Quantitative meta-analysis therefore represents a powerful tool to gain a synoptic view of distributed neuroimaging findings in an objective and impartial fashion, addressing some of the limitations raised above. The purpose of this course is to review the theory and practice of meta-analytic modeling and database-driven syntheses. In order to provide a comprehensive overview, this course spans both basic and advanced topics and addresses practical tips and tools to conduct meta-analytic studies in psychological and clinical applications. This broad coverage will thus provide both a deeper understanding of the methodological underpinnings as well as concrete ideas for how to apply meta-analytic techniques to advance brain science.

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Prof. Poul Flemming Høilund-Carlsen

[vc_row][vc_column][vc_column_text]Prof. Høilund-Carlsen is a Professor, and Head of Research at the University of Southern Denmark. Prof. Høilund-Carlsen. He specializes in Clinical Physiology and Nuclear Medicine, and has particular interest in cardiovascular problems. He lead the Department of Nuclear Medicine at Odense University Hospital for many years before take up the directorship of research.  He has published vastly and contributed in local and international scientific activities. He has been a consistent supporter of IHBM over the years which is deeply appreciated by Shahid Beheshti University.[/vc_column_text][vc_message icon_fontawesome=”fa fa-address-card-o”]https://scholar.google.dk/citations?user=Ke2f534AAAAJ&hl=da[/vc_message][/vc_column][/vc_row]

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دکترسید محمود آقامیری

استاد فیزیک هسته ای، دانشگاه شهید بهشتی

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دکتر محمدرضا بیگدلی

دانشیار زیست شناسی، دانشگاه شهید بهشتی

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Prof. Manouchehr Seyedi Vafaee

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  • B.Sc.: Physics, Shahid Beheshti University, Tehran, Iran,
  • M.Sc.: Biology/physiology, McGill University, Montreal, Canada
  • M.Sc.A..: Medical physics, McGill University, Montreal, Canada
  • Ph.D.:Neuroscience, McGill University, Montreal, Canada
  • Post-doctoral fellow: Dept. Neurology/neuroscience, Emory University, Atlanta, USA

Expertise:  Medical Imaging (PET/MRI/CT) of neurological/psychiatric/cardiovascular diseases.

Current and previous appointments:

  • Associate Prof., University of Copenhagen (2011-current)
  • Assistant Prof., University of Copenhagen (2010-2011
  • Assistant Prof., Aarhus University (2005-2010)
  • Research scientist, Aarhus General Hospital, PET Center (2000-2005).
  • Research fellow, Montreal Neurological Inst. (1998-2000)

Research profile :

  • Research scientist; Brain imaging of neurological disorders (Montreal Neurological Institute, Canada; 1997-2000).
  • Senior research scientist: Image evaluation of neurological patients candidate for neurosurgery; Investigation of cerebral blood flow and metabolism relationship in health and disease (Aarhus General Hospital, Denmark; 2000-2002).
  • Assistant Professor; Investigator and co-supervisor for the research and clinical projects carried out at the research unit of university hospital (Aarhus University Hospital, Denmark: 2002-2005)
  • Senior research scientist; Aarhus General Hospital, Denmark; Clinical Research Unit, 2005-2009.

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Prof. Paul Thompson

[vc_row][vc_column][vc_column_text]Prof Thompson, directs the ENIGMA Center for Worldwide Medicine, Imaging & Genomics – a U.S. National Center of Excellence for “Big Data” analysis in biomedical research. Since 2009, Dr Thompson has led the ENIGMA consortium (http://enigma.usc.edu), a worldwide medical network of 340 institutions across 35 countries studying the major diseases of the brain, with MRI, diffusion MRI, resting state fMRI, EEG and genomics. ENIGMA has published the largest neuroimaging studies of 8 major brain disorders – including schizophrenia, bipolar disorder, major depression, ADHD and OCD – and leads international studies of Alzheimer’s disease, Parkinson’s disease, epilepsy, PTSD, anorexia, substance use, and anxiety disorders. In ENIGMA’s series of papers in Nature, Nature Neuroscience, and Nature Communications, 340 institutions pooled DNA and MRI data from over 40,000 people to identify over 100 genomic loci that influence brain structure, function and disease risk using massively-parallel distributed “big data” computing (Medland Nature Neuroscience 2015). ENIGMA analyzes factors that affect Alzheimer’s disease progression, schizophrenia, depression and bipolar illness, HIV/AIDS, substance abuse, autism, and childhood brain disorders.

Dr. Thompson’s group created the first MRI maps of Alzheimer’s disease and schizophrenia spreading in the living brain, and a method to detect brain growth in children (published in the journal Nature). Thompson directs the Imaging Genetics Center and is Associate Director of USC’s new Stevens Institute for Neuroimaging and Informatics. At USC, he is a Professor of Neurology, Psychiatry, Radiology, Pediatrics, and Engineering. Dr. Thompson obtained his M.A. in Mathematics and Greek & Latin Languages from Oxford University, England, and his Ph.D. in Neuroscience from UCLA. His team of 20 researchers includes students in neuroscience, genetics, biomedical engineering, and biomedical physics. Collaborating with over 300 imaging labs around the world, Dr. Thompson’s 1,600 published research papers combine the talents of researchers in mathematics, neuroimaging, and clinical neurology (see http://igc.ini.usc.edu).

  • Professor of Neurology, UCLA;
  • Master of Arts (Hons.), Mathematics & Philosophy, Oxford
  • Bachelor of Arts (First Class in Honour Moderations), Greek & Latin Languages , Oxdord
  • Oxford University Scholar: Mathematics & Philosophy, Classical Languages
  • Guinness Book of Records Certificate, 1989: U.K. Record Examination Achievement (9 A-levels); Article, courtesy of The Times Newspaper, London, Aug. 2000.
  • Ph.D., Neuroscience, 73-360 Brain Research Institute,
    Division of Brain Mapping, and Laboratory of Neuro Imaging, UCLA;

Ph.D. thesis title: Mathematical/Computational Strategies for Analyzing 3D Human Brain Image Databases

  • Fellow, Howard Hughes Medical Institute, 1993-1999;
  • Research Grantee, United States Information Agency, Washington, DC, 1993-1999;
  • Fulbright Scholar, U.S.-U.K. Fulbright Commission, London, England, 1993-1999;
  • Research Grantee (Co-Investigator or PI): NCRR, NIMH, NLM, NINDS, NIA, NHMRC (Australia), NARSAD
  • Associate Editor, IEEE Transactions on Medical Imaging, 2002-
  • Associate Editor, Human Brain Mapping, 2002-
  • Associate Editor, NeuroImage, 2002-2007
  • Editorial Board, Medical Image Analysis, 2002-
  • Editorial Board, Cerebral Cortex, 2002-
  • Elected Member, American Neurological Association, 2007-
  • 2008 Wiley Young Investigator Award (Organization for Human Brain Mapping)
  • Technical Evaluation Group & Grant Review Study Sections, National Library of Medicine, National Institute of Mental Health, National Science Foundation, National Center for Research Resources (NCRR), National Institute of Child Health and Human Development, 1999-
  • Special Emphasis Panel, Center for Scientific Review, NIH
  • Peer-Reviewer, Small Business Innovation Research (SBIR) Grants Program, 1999-present; Alzheimer’s Disease Association Grants Program, 1999-present;
  • Member of the Program Committee for: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, June 2000; SPIE Conference on Mathematical Methods in Biomedical Imaging, July/August 2000; Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Dec. 2001; IEEE International Symposium on Biomedical Imaging (ISBI): Macro to Nano, July 2002; IEEE Conference on Pattern Recognition 2002, August 2002; 5th International Conference on Medical Image Computing and Computer Assisted Intervention 2002 (MICCAI 2002)
  • Workshop Organizer for: Imaging in Medicine and the Neurosciences (May 2001, UCLA); Workshop on Deformable Models in Biomedical Imaging, MICCAI 2002 (Sept. 2002, Japan); Workshop on Mapping Brain Degeneration, Human Brain Mapping 2003 (June 2003, New York City)
  • Honors/Awards:
    1998 Di Chiro Outstanding Scientific Paper Award;
    1998 Eiduson Award for Neuroscience Research;
    1997 SPIE Medical Imaging Award, Best Paper;
    Outstanding Graduate Student of the Year, UCLA; UCLA Chancellor’s Service Award, 1998

[/vc_column_text][vc_message icon_fontawesome=”fa fa-address-card-o”]https://scholar.google.com/citations?user=qCVy9hgAAAAJ&hl=en[/vc_message][/vc_column][/vc_row]

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Prof. Simon B Eickhoff

[vc_row][vc_column][vc_column_text]Professor Eickhoff is the Director of the Institute for Systems Neuroscience at the Heinrich-Heine University Düsseldorf and the director of the Institute of Neuroscience and Medicine (INM-7) at the Research Center Jülich. Simon is a leading cartographer of the human brain, and his team utilizes a wide range of methods to map the organizational principles of the human brain.

Research Interests

  • Methods development for coordinate-based meta-analyses of functional neuroimaging data and neuroinformatics approaches towards database-driven analyses and integration
  • Organizational principles of the human brain, in particular the relationship between its regional specialization into distinct modules and functional integration
  • Multi-modal analyses, integration and comparison of different approaches towards structural, functional and effective connectivity
  • Brain mechanisms and processes underlying sensory-motor transformation, higher order action control including attention and social-emotional processing
  • Machine-learning approaches for the individual prediction of cognitive, affective and clinical phenotypes from neuroimaging data
  • Translational research on the systems biology of pathophysiological processes underlying neurological and psychiatric disorders

[/vc_column_text][vc_message icon_fontawesome=”fa fa-address-card-o”]https://scholar.google.com/citations?user=wjpISMAAAAAJ&hl=da[/vc_message][/vc_column][/vc_row]

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دکتر حبیب الله خزایی

استاد روانپزشکی، دانشگاه علوم پزشکی کرمانشاه

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دکتر رضا خسروآبادی

 استادیار مهندسی پزشکی، پژوهشکده ی علوم شناختی و مغز، دانشگاه شهید بهشتی

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دکتر مجتبی زارعی

 استاد نورولوژی و نوروساینس،پژوهشکده ی علوم و فناوری های پزشکی، دانشگاه شهید بهشتی

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