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Tor Wager, Professor of Psychology and Neuroscience, University of Colorado Boulder, Hanover, NH, USA
Title of Speech in 7th IHBM-congress: Neuroimaging of pain and emotion: Representation, biomarkers, and interventions
Dr. Wager is a Distinguished Professor in Neuroscience at the Diana L. Taylor at Dartmouth College, Hanover, NH, USA. He is recognized for investigating the effect of placebos on the brain and pain processing. His is also interested in affective learning and brain-body communication. Prior to becoming an Assistant Professor at Columbia University in 2004, he received his PhD in Cognitive Psychology from the University of Michigan. Through his PhD, he studied brain changes in response to emotions using imaging techniques. Later, he became interested in conducting research on placebos, as a means for improving quality of life in patients. In 2009, he was appointed for Associate Professor at Columbia University. Then he moved to the University of Colorado, Boulder and in 2014 became a Full Professor at this University. From 2004 to 2019, he was the director of Cognitive and Affective Neuroscience laboratory. The focus of this lab is on the neurophysiology of pain, emotion, stress, and empathy and how these affective processes are formed by social factors and cognition. Dr. Wager and his colleagues’ work also aimed at developing and using analysis methods for functional neuroimaging, and sharing the scientific data with researchers and public community.
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Peter Kochunov, Department of Psychiatry, University of Maryland, Baltimore, USA
Title of Speech in 7th IHBM-congress: Reshaping psychiatry using Big Data studies
Peter Kochunov is an Associate Professor at Department of Psychiatry, the University of Maryland, School of Medicine, Center for Brain Imaging in Baltimore, USA. His work is aimed at development of new data analysis protocols with emphasis on the quantitative, multimodal analyses of genetic factors. These factors are responsible for structural and functional variability. He obtained an MSEE in Control Systems from the University of Perm, Russia. Subsequently he attended the University of Louisville to complete his master’s studies in Physics. He continued his studies by doing a PhD in Medical Physics at the University of Texas Health Science Center at San Antonio. There he also worked as an Assistant Professor for the next 14 years. He was involved in development of many popular neuroimaging tools and formats such as SOLAR-Eclipse, ENIGMA-Viewer, ENIGMA-DTI and ENIGMA-rsFMRI analyses pipelines, Talairach deamon, Brain Map, Mango and Brain Visa Morphologist and NFITI.
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Kai Spiegelhalder, Department of Psychiatry and Psychotherapy, University of Freiburg Medical Center, Freiburg, Germany
Title of Speech in 7th IHBM-congress: Neuroimaging of insomnia disorder
Kai Spiegelhalder is the leader of Pathophysiology of Insomnia Research group in the Department of Psychiatry and Psychotherapy, University of Freiburg Medical Center,Freiburg, Germany. Focus of his research work is psychological and neurobiological foundations of sleep disorders, especially primary insomnia. He received his diploma in Psychology in 2004, and obtained a PhD in Psychology afterwards. In 2008, he took the state medical examination test and received a PhD in medicine. This was followed by conducting research at the Department of Psychological Medicine, University of Glasgow. Since 2008, he has appointed as Research Assistant and Assistant Doctor in the Department of Psychiatry and Psychotherapy, Freiburg University Medical Center. Dr. Spiegelhalder was awarded the Young Investigator Award from the International Restless Legs Syndrome Study Group (IRLSSG) in 2006, and the Young Talent award from the German Society for Sleep Research and Sleep Medicine (DGSM) in 2008.
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Martine Hoogman, Department of Language and Genetics, Max Plank Institute for Psycholinguistics, Nijmegen, the Netherlands
Title of Speech in 7th IHBM-congress: Looking at the ADHD brain from multiple angles
Martine Hoogman is the leader of ENIGMA-ADHD, the largest worldwide ADHD working group which makes use of existing MRI data collected from both children and adults with ADHD and other non-ADHD populations. Dr. Hoogman also works as a junior group leader at the Department of Human Genetics, Radboud University, Medical Center in Nijmegen, Nijmegen area, the Netherlands under Professor Barbara Franke. She received her M.Sc. degree in Clinical Neuropsychology from the University of Amsterdam. Then She completed her PhD at the Faculty of Medical Science at Radboud University, Nijmegen working on “Imaging the effects of ADHD risk genes”. In 2018, she was awarded the NWO VENI grant to study the link between creativity and ADHD. Since then she continued exploring direct links between the neurobiology of creativity and ADHD, potential interactions with ADHD-relevant cognitive deficits, and identifying aetiological factors at brain and genetic levels at VENI project. Her research involves behavioral/cognitive approach to ADHD, the brain and genes, and their association with ADHD. In her current work, she and her colleague at ENIGMA-ASD are providing a more detailed view of the brain structure and function across attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Over the last 14 years, she has been involved in a wide range of ADHD studies.
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Andrew Bagshaw, School of Psychology, University of Birmingham, UK
Title of Speech in 7th IHBM-congress: Multimodal neuroimaging in sleep and epilepsy
Andrew Bagshaw directs Birmingham University Imaging Center and is the Co-director at the Center for Human Brain Health. He completed his BSc. in Physics with Astrophysics followed by receiving an MSc. degree in Applied Radiation Physics from the University of Birmingham. He completed his postgraduate studies doing his PhD studies in Nuclear Physics at the University of Manchester. Following embarking on several Post-doctoral positions at City University of London, UCL and Montreal Neurological Institute, he has returned to the University of Birmingham to work as a lecturer. Dr. Bagshaw currently has been leading Multimodal Integration Group (MIG). He is interested in applying multimodal neuroimaging techniques particularly fMRI-EEG to investigate the brain activity within the scope of clinical and behavioral neuroscience. He and his colleagues are focused on developing novel techniques through integrating structural and functional brain networks to shed light on the effects of sleep and epilepsy on brain features.
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Sarah Genon, Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Germany
Title of Speech in 7th IHBM-congress: Beyond performance in building predictive models of behaviour from resting-state functional connectivity: a focus on interpretability and sociodemographic factors
Sarah Genon is currently the head of the “Cognitive NeuroInformatics” working group at the Institute of Neuroscience and Medicine, Jülich Research Center, Germany. Her research currently focuses on the development of neuroimaging approaches to understand the behavioral role of brain regions, particularly frontal and medial temporal lobes. She completed her undergraduate studies in Psychology at the University of Brussels. Following her undergraduate studies, she obtained an MSc degree in Clinical Psychology and a PhD in Cognitive Neuroscience from the University of Liege. Her PhD project was focused on modifications of episodic memory in Alzheimer’s disease. Next, she worked as a Post-doctoral research fellow at Cyclotron research Center and Heinrich-Heine-University of Dusseldorf. She is primarily interested in understanding how the brain support decision making using memory and how self-related beliefs are formed.
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Tim Silk, Brain and Cognitive Development Lab, Deakin University, Melbourne, Australia and Murdoch Children’s Research Institute, Department of pediatrics, University of Melbourne, Australia
Title of Speech in 7th IHBM-congress: Fibre specific white matter tract profiles of children with ADHD
Tim Silk is a cognitive neuroscientist who specializes in pediatric neurodevelopmental imaging with the purpose of understanding brain-behavior interface. He completed his BSc in Behavioral Neuroscience at Monash University in 2004 and earned his PhD in Neuroimaging three years later form Monash University and Howard Florey Institute. He is associate professor of Psychology and the head of the Brain and Cognitive Development Lab at Deakin University. His research aims at identifying neuroimaging markers to diagnose children with neurodevelopmental disorders, monitor how these deficits progress and predict expected outcomes and treatment response. He is currently leading The Neuroimaging of the Children’s Attention Project (NICAP) collecting longitudinal multimodal neuroimaging data to understand the structural and functional brain changes during development from childhood into early adolescence in healthy subject and youths with ADHD. He has received prestigious awards including the Most Outstanding Doctoral Thesis Award from Monash University, the Clinical Sciences Rising Star Award from Murdoch Children's Research Institute and the Young Scientist Award from World Congress of ADHD in 2015. His work has made considerable contributions towards understanding the profile of deficits associated with neurodevelopmental disorders.
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Govinda Poudel, Mary Mackillop Institute for Health Research, Australian Catholic University (ACU), Melbourne, Australia
Title of Speech in 7th IHBM-congress: Sleeping while awake: Functional neuroimaging of behavioural microsleeps
Govinda Poudel is a research fellow in Behavioral Environment and Cognition Program at Mary Mackillop Institute for Health Research, Australian Catholic University (ACU). He received a B.E. degree in Computer Systems Engineering from the University of Technology Sydney (UTS). Next, he completed PhD studies at the University of Otago, New Zealand (NZ). His research focuses mainly on the field of Biomedical Engineering and Neuroimaging. He is interested in signal processing and using exceptional methods for analysing fMRI and EEG data and he uses these techniques to investigate sleep health and neurodegeneration. In one of his more recent works, he has targeted Neural Correlates of Attention Lapses during Continuous Tasks.
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Sofie Valk, Institute of Neuroscience and Medicine, Research Center of Jülich, Germany
Title of Speech in 7th IHBM-congress: Genetics and phylogenetic factors underlying topological organisation of cortical structure
Sofie Valk is the Head of the Cognitive Neurogenetics group at Research Center of Jülich, Germany. She is also the leader of Cognitive Neurogenetics research group at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) where she investigates the inter-relationship between nature, nurture, and brain organization. To achieve this, Dr. Valk and her colleagues use large-scale open datasets of humans and non-human primates. Her research focuses on social cognition, large-scale brain organization, evolution and development, and social neuroscience. Her research work shed light on the gene-by-environment effect on who we are. Prior to becoming interested in Brain and Cognitive sciences, she obtained her BSc in Artificial intelligence, Philosophy from the University of Amsterdam (UVA). In 2017, she did a PhD in MPI CBS, focusing on evaluation of the interrelation between brain structures and social behavior. Her PhD project indicated that empathy, attention, and perspective taking are related to certain brain networks and in result of mental training in each of these domains, structural changes were observed across distinct brain networks. Next, she has become a Post-doctoral fellow in Jülich investigating the genetic basis and organization of large-scale brain structure, and its association with various behaviors. She also worked as a research intern at the University of Amsterdam, Max Planck Institute for Human Cognitive and Brain Sciences, and the University of California, Berkeley.
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Lorenzo Pasquini, UCSF Weill Institute for Neurosciences, University of California, San Francisco, USA
Title of Speech in 7th IHBM-congress: Frontotemporal dementia, dynamic connectivity, and psychedelics: distinct windows on salience network function
Lorenzo Pasquini joined the Seeley lab in November 2016 as a Postdoctoral Research Fellow. Prior to receiving a PhD from Technical University of Munich, he had completed an MSc. Degree in Neuroscience and Public health at Ludwig-Maximilan University. During his PhD, he worked under the supervision of Dr. Christian Sorg at the Neuroimaging Center where he investigated large-scale brain network dysfunctions in Alzheimer’s disease. He has also worked as a visiting scholar in Department of Psychiatry at King’s College London. There, he worked on neurological determining factors of dementia in low and middle-income countries. He has also collaborated with the Brain Institute in Natal, Brazil, on an fMRI project which investigated the effects of the psychedelic substance Ayahuasca on activity of the brain. His research interests include exploring the neural basis of emotions and social behavior in healthy and clinical populations using neuroimaging techniques. Dr. Pasquini is particularly interested in exploring the link between neuropathology and neuroimaging, and developing subject-tailored neuroimaging biomarkers for frontotemporal dementia.
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Adeel Razi, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia.
Title of Speech in 7th IHBM-congress: Causal models of brain function
Adeel Razi is an Associated Professor and Director of the Computational and Systems Neuroscience Laboratory at the Turner Institute for Brain and Mental Health, the Monash University. He received his B.E. in Electrical Engineering at the N.E.D. University of Engineering and Technology, Karachi, Pakistan. Later, He obtained an MSc. in Communication Engineering at the Rhenish Westphalian Technical College, Aachen University, Germany. Next, he completed his PhD in Electrical Engineering at the University of South Wales. He is interested in integration of physics, machine learning and engineering within the field of cognitive neuroscience. His lab’s research includes (1) characterization of different brain dynamics by developing Dynamic Causal Modelling; (2) understating altered states of consciousness using classical psychedelics; (3) computational modelling and; (4) development of artificial intelligence schemes in order to understand how decision-making take place in the brain.
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Manouchehr Seyedi Vafaee, Department of Nuclear Medicine and Psychiatry, University of Southern Denmark, Odense, Denmark
Title of Speech in 7th IHBM-congress: Dopaminergic, serotonergic neurotransmission, glucose metabolism, and dendritic spines densities in pathogenesis of Autism Spectrum Disorders
Manouchehr Vafaee is an Associate Professor at the Nuclear Medicine and Psychiatry Department, the University of Southern Denmark. Dr. Vafaee is an expert in Medical imaging of neurological, psychiatric and cardiovascular disorders. He also conducted research focusing on General principles of study design, image processing, and image analysis of PET/MRI (human/animal) studies, and General principles of receptor studies. He completed his BSc in Physics at Shahid Beheshti University. He obtained two MSc degrees in Biology/Physiology and Medical physics at McGill University, Canada. He earned his PhD degree in Neuroscience from the same institute. Later, he completed his research fellowship in Neurology/Neuroscience Department of Emory University, Atlanta, US. He also taught courses on Mathematics/Physics, Physiology, and Central Nervous System at McGill University.
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Tijl Grootswagers, MARCS Institute for Brain, Behavior and Development, Western Sydney University, Sydney, Australia.
Title of Speech in Symposium on Multi-variate pattern analysis in human brain mapping: Decoding and representational dynamics in MEG & EEG
Tijl Grootswagers is a Computational Cognitive Neuroscientist. He currently is a Vice Chancellor’s Research Fellow in Cognitive Neuroscience at the MARCS Institute for Brain, Behavior and Development at Western Sydney University. He received both a B.Sc. and an M.Sc. in Artificial Intelligence from the Radboud University, Nijmegen, The Netherlands. Next, he obtained his PhD in Cognitive Neuroscience at the Macquarie University, Sydney, Australia. Prior to joining MARCS Institute, he worked as a Post-doctoral Research Fellow at the University of Sydney for 3 years. Dr. Wagers is primarily interested in understanding how brain perceives visual objects and how these object perception are represented in decision-making. To address such questions, he integrates machine learning, multi-modal brain imaging techniques, and behavioral data. He also makes use of contemporary multivariate pattern analysis (MVPA) or brain decoding methods to analyze neuroimaging data.
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Jade Jackson, MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
Title of Speech in Symposium on Multivariate pattern analysis in human brain mapping: Zapping and mapping: Using TMS and fMRI-MVPA to examine the casual impact of stimulation on information representation
Jade Jackson is a Researcher at Executive processes group at MRC Cognition and Brain Sciences Unit, the University of Cambridge, UK. She completed her undergraduate studies in Psychology at Royal Holloway University of London. Next, she received her PhD in Cognitive Science at Macquarie University, Sydney, Australia. Her research interests include selective attention, cognitive neuroscience, Multi-voxel pattern analysis (MVPA), concurrent TMS-fMRI and pain. Her research work focuses on using TMS and fMRI-MVPA to investigate the casual impact of stimulation on information representation.
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Maryam Vaziri Pashkam, National Institute of Mental Health (NIMH), Laboratory of Brain and Cognition, Bethesda, US
Title of Speech in Symposium on Multivariate pattern analysis in human brain mapping: Multivariate pattern analysis reveals two pathways in the human brain for processing object shapes
Maryam Vaziri Pashkam is a cognitive neuroscientist and research fellow at Laboratory of Brain and Cognition, National Institute of Mental Health (NIMH). She received her M.D. degree from Tehran University of Medical Sciences in 2005. She pursued her studies by doing a PhD in cognitive psychology at Harvard University. Prior to joining NIMH, she worked as a Post-doctoral fellow at Harvard Psychology department from 2011 to 2017. Dr. Vaziri is interested in finding the relationship between visual cognition and action using behavioral experiments in naturalistic settings, body movement tracking, and neuroimaging, with a strong emphasis on computational methods. She studies the processing of visual information during natural interactions in two domains: 1) Processing of object shapes for action; and 2) Processing of others body movements during social interactions. The aim of her research is to delineate neural underpinnings and underlying computations of vision for action, in order to provide a deeper understanding of visual processing.
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Hamid Karimi-Rouzbahani, Newton International Fellow, MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
Title of Speech in Symposium on Multivariate pattern analysis in human brain mapping: spatiotemporal analysis of information in the multiple-demand network as revealed by fMRI-MEG fusion
Hamid Karimi-Rouzbahani is a Postdoctoral Research Fellow in computational and cognitive neuroscience at Newton International Fellow, MRC Cognition and Brain Sciences Unit, University of Cambridge, UK. His research is aimed at developing methods using machine learning to approach questions within cognitive neuroscience. More specifically, his research specialized in object recognition and visual attention. He received his Bachelor’s degree in Electrical Engineering from Shahid Rajaee University, Tehran, Iran. He embarked on a master study at Iran University of Science and Technology, Tehran, Iran before completing his PhD studies in Electrical Engineering at Brain and Intelligent Systems Research Laboratory, Shahid Rajaee University. He also conducted a few research projects at Institute for Research in Fundamental Sciences (IPM). Among his honors are International Fellowship at the Royal Society of UK, being elected as Top Researcher of the Faculty & Distinguished Researcher of the University at Shahid Rajaee University, Distinguished PhD Thesis award and Selected Paper in Young Investigators Panel both from Iranian Neuroscience Society.
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Behrooz Hooshyar Yousefi, Department of Nuclear Medicine, University Hospital of Marburg, Philipps University of Marburg, Germany
Title of Speech in 7th IHBM-congress: Pitfalls and advances in developing PET tracers for Neurodegenerative Disorders Diagnosis
Behrooz Yousefi is currently head of Radio pharmacy at the Nuclear Medicine Department, the University Hospital of Marburg, Philipps University of Marburg. His research interests include multimodal small animal imaging and pharmaceutical radiochemistry for imaging amyloid plaques, neuropathological peptidic aggregates opioid receptors, integrin receptors and cardiac receptors. Dr. Yousefi obtained his PhD in organic chemistry from Tabriz University and Justus Liebig University Giessen. In the course of several Post-doctoral studies at Gratz University, the Technical University of Vinnea and Darmstadt Technical University, he developed novel biologically active compounds, drugs and metabolites and new compounds for amyloid plaque imaging. He pursued his research carrier at the Neuroimaging center of Technische Universität München (TUM NIC) from 2005 to 2019. His work led to intervention of new tracers, new 18-f labeling methods and preclinical evaluation of tracers as well as translational to clinical studies. Current work in his lab is dedicated to multimodal neuroimaging and pharmaceutical radiochemistry for neuropathological peptide dispositions, oncology and cardiac receptors.
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Ashkan Mowla, Department of Neurological surgery, Keck School of Medicine, University of Southern California (USC), USA
Title of Speech in 7th IHBM-congress: Unruptured Brain Aneurysm: A Ticking Time Bomb or Don’t Worry, Be Happy.
Ashkan Mowla is a Clinical Assistant Professor of Neurobiological Surgery at the University of Southern California, US. He is a specialist in Stroke and Interventional Neurology. Dr. Mowla is particularly interested in treating complex aneurysms and he practices Neuro-interventions. He studied Medicine at Shiraz University of Medical Sciences and then moved to US. He received his Medical Degree at Internal Medicine from Brookdale University Hospital and Medical Center. Afterwards, he did a residency in Neurology at the Methodist Hospital Neurological Institute, Houston, Texas. Then he did two fellowships at the University of Michigan Hospitals and Health Centers, and UCLA Medical Center focusing on Vascular Neurology and Interventional Radiology, respectively. From 2013 to 2017, he worked as a Clinical Assistant Professor of Neurology at the University at Buffalo, New York City, US.
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Ladan Ghazi Saidi, Department of Communication Disorders, University of Nebraska at Kearney, USA
Title of Speech in 7th IHBM-congress: Neural Correlates of Language Processing in Bilinguals: A Dynamic System Levered by Language Proficiency and Language Distance
Ladan Ghazi Saidi is an Assistant Professor at the University of Nebraska at Kearney. Prior to joining the University of Nebraska, she was a postdoctoral research fellow at Cleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, US, where she studied first neuroimaging and cognition in neurodegenerative disease. She completed her PhD studies in Neuropsychology at the University of Montreal. She also worked as a Research Associate and Post-doctoral researcher at CIRIUGM (Institut universitaire de gériatrie de Montréal). Her research interests include Language, Language acquisition, Cognitive impairment, Bilingualism, Aging, Neuroplasticity, Cognitive reverse & Neurocognition.
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Amir Omidvarnia, Bioengineering Institute, Swiss Federal Institute of Technology Lausanne (École Polytechnique Fédérale de Lausanne), Genève, Switzerland.
Title of Speech in 7th IHBM-congress: Temporal complexity analysis of resting-state fMRI: Promises and challenges
Amir Omidvarnia is a Biomedical Data Scientist at the Bioengineering Institute, Swiss Federal Institute of Technology Lausanne (École Polytechnique Fédérale de Lausanne). He obtained a BSc. in Bioengineering and Biomedical Engineering at the Amirkabir University of Technology. Later, he received an MSc. in Bioengineering and Biomedical Engineering at University of Tehran. He pursued his postgraduate studies in the same field and completed PhD. at the Queensland University working on Time-Frequency signal processing techniques. His multidisciplinary research focuses on the application of Artificial Intelligence in health sector by means of combing brain imaging, data science & computer science. He devised various mathematical algorithms and software programs, which crunch EEG and fMRI measurements and make sense of them. He has been currently conducting research on development of numerical biomarkers for analyzing human brain function in health and disease. His research vision is to make use of machine learning methods in order to assist prevention, diagnosis and treatment of brain diseases. In his current project, he is using machine-learning techniques to analyze brain function.
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Massieh Moayedi, Faculty of Dentistry, University of Toronto, Toronto, Canada
Title of Speech in 7th IHBM-congress: The neural mechanisms of temporomandibular disorders: insights from structural and functional MRI
Massieh Moayedi is an Assistant Professor in Faculty of Dentistry at University of Toronto. He received his BSc in Biology from the University of Ottawa. He completed his PhD studies in Neuroscience at the University of Toronto. He is currently a Postdoctoral Research Fellow at the Department of Neuroscience, at the University College London (UCL) where he is conducting research on neural correlates of pain. His research spotlight is how pain processing is differed in patients with chronic pain compared to healthy population. He approaches this question using non-invasive brain imaging techniques, computational methods and novel behavioral paradigms. He also investigates signs of network connectivity in the brain of healthy subjects and patients with chronic pain.
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Ali Mazaheri, School of Psychology, University of Birmingham, Birmingham, UK
Title of Speech in 7th IHBM-congress: The potential of Brain Rhythms to gauge the resiliency and vulnerability of an individual to mental illness.
Ali Mazaheri is a Senior Lecturer at the School of Psychology, University of Birmingham and a Principal Investigator at the Center for Human Brain Health. He has expertise in investigating the role of oscillations in cognition and behavior. His research focuses on the neural interactions underlying different facets of cognitive control, as well as investigating how the brain processes information from the outside world by measuring electrophysiological activities of the brain using EEG and MEG. He is also interested in factors that relatively increase individuals’ vulnerability to develop neurodegenerative disorders. He completed his undergraduate studies and received an MSc. degree, both in Neuroscience at the University of Toronto, Canada. He received his PhD degree from the Donders Institute for Cognitive Neuroimaging, Nijmegen, The Netherlands. After a post-doctoral fellowship at the University of California, Davis, he has become an Assistant Professor at the Department of Psychiatry at the AMC-University of Amsterdam. During his education, he has received numerous grants and scholarships such as IASP Collaborative Research Grant, Heart of England NHS Foundation Trust and the CNR International Exchanges Award for Identification of a brain network subserving predisposition to pain perception.
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Shahabeddin Vahdat, Department of Applied Physiology & Kinesiology, University of Florida, Gainesville, USA
Title of Speech in 7th IHBM-congress: Functional Neuroimaging of the Spinal Cord and Brain Circuits
Shahab Vahdat is an Assistant Professor (Tenure Track) in the Department of Applied Physiology & Kinesiology at the College of Health and Human Performance, the University of Florida. His research aimed at investigating mechanisms of neural plasticity in the sensorimotor system via human and rodent models. After obtaining his PhD in Kinesiology-Movement Neuroscience from McGill University in 2013, he completed two postdoctoral fellowships at Stanford University and the University of Montreal. His post-doctoral work was focused on neurotreatment and pathophysiology of ischemic stroke in rodents, spinal cord functional neuroimaging and electrophysiology in humans. Later, he was appointed Assistant Professor at the University of Florida. Present work in his lab attempts to understand how the brain and spinal cord interact and remodel to support learning and recovery after stroke. This has been done using a wide range of techniques including simultaneous brain and spinal cord fMRI, paired-pulse nerve stimulation, and robotic training.
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Ali Khatibi, Center of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, West Midlands, United Kingdom.
Title of Speech in 7th IHBM-congress: Pain and motor leaning
Ali Khatibi is currently a Senior Research Fellow at the Center of Precision Rehabilitation for Spinal Pain (CPR Spine) School of Sport, Exercise and Rehabilitation Sciences (Sport EXR) at the University of Birmingham. He received an M.A. in Psychology from Shahid Beheshti University and completed his PhD studies at Katholieke Universiteit Leuven (KU Leuven). He has done his Postdoctoral research fellowship at Montreal Neurological Institute through which he investigated motor sequence learning in the human spinal cord. His research has been mainly involved in pain, spinal cord imaging, cognition and chronic diseases. In 2019, he was awarded the Canadian Pain Society Travel Award from Canadian Pain Society.
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Narges Radman, School of Cognitive Science, IPM, Tehran, Iran.
Title of Speech in 7th IHBM-congress: Bilingual advantage on cognitive control: Does it really exist?
Narges Radman is a post-doctoral researcher at the School of Cognitive Science, IPM, Iran. She obtained her M.D. degree from Tehran University of Medical Sciences. Then she advanced her PhD studies mainly in Laboratory for Cognitive and Neurological Sciences at Fribourg University, and Lemanic Neuroscience Doctoral School, Switzerland. She did her PhD thesis under the supervision of Professor Jean-Marie Annoni on bilingual brain and bilingual aphasia. Her research work focuses on complex word production processing in the bilingual brain with a focus on the role of executive system in this process. For this purpose, she investigates fMRI, EEG recordings along with data driven from behavioral measures. Cognitive Sciences and Technologies Council, Iran and Zurich University of Applied Sciences (ZHAW), Switzerland, provide grants for her current projects.
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Masoud Tahmasian, Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
Title of Speech in 7th IHBM-congress: Sleep and neuroimaging, a need for large collaboration
Masoud Tahmasian is currently an Assistant Professor at Institute of Medical Science and Technology, Shahid Beheshti University and the Chair of ENIGMA-Sleep Working Group. He received his M.D. degree from School of Medicine, Kermanshah University of Medical Sciences, Iran. This was followed by an NMR (ME-MRI) internship at the Department of Neurology, the University Hospital of Cologne, Germany. In 2014, he obtained his PhD degree from Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany where he worked on multimodal neuroimaging in neuropsychiatric disorders using hybrid PET/MRI. Afterwards, he has been appointed as a Faculty member at Shahid Beheshti University. His research focuses on Sleep Medicine, Multimodal functional neuroimaging (PET/MRI) and Meta-analyses of neuroimaging data in neurodegenerative diseases (Dementia, Alzheimer disease and Parkinson’s disease), Sleep disorders and Major Depressive Disorder (MDD).
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Fateme Samea, Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
Title of Speech in 7th IHBM-congress: ADHD and sleep disturbance: the role of intrinsic brain networks
Fateme Samea is currently a Post-doctoral researcher at the Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran. She received her Bachelor’s in Computer Software Engineering from the University of Kashan. She continued her education and received an M.Sc. in Psychology from Shahid Beheshti University. She received her PhD in Cognitive Modeling from Shahid Beheshti University in 2019. Her research areas include Computational Psychiatry, Cognitive Modeling, Neuroimaging and Meta-Analysis.
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Hasti Shabani, Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
Title of Speech in 7th IHBM-congress: Spatial Resolution and Neuroimaging
Hasti Shabani received two Bachelor’s degrees in Electrical Engineering and Biomedical Engineering by 2003. She received an MSc. in Telecommunication Engineering in 2010, from Amirkabir University of Technology - Tehran Polytechnic. After moving to US, she pursued her studies by doing a PhD in Electrical Engineering in 2019 at the University of Memphis (UoM), Tennessee. She also embarked on a couple of Research Assistant positions at University of Memphis (UoM), Tennessee for more than 6 years. Her research is primarily aims at Signal Processing, Multi-dimensional Image Processing, Computational Microscopy, Neuroimaging, Inverse Problem, and Machine Learning.
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Mohammad Shahdloo, FMRIB Centre, University of Oxford, England, UK
Title of Speech in 7 th IHBM-congress: Mapping language representation in the brain via deep models
Mohammad Shahdloo is a Postdoctoral Researcher at MR Physics group at FMRIB Centre, University of Oxford and he is working with Dr. Mark Chiew. He received the B.Sc. degree in electrical engineering from Amirkabir University, Tehran, Iran. Next, he continued his education in Ankara and earned an MSc and a PhD in electrical engineering from Bilkent University. He works on reducing motion artifacts in functional MRI in non-human primates to make MR imaging faster and more accurate. He is also interested in attentional modulations of the cortical representation of audio-visual natural stimuli in the human brain. He has received Bronze medal in the Iranian National Physics Olympiad in 2006. He is a member of International Society for MR in Medicine (ISMRM), Organization for Human Brain Mapping (OHBM) and European Society for MR in Medicine and Biology (ESMRMB).
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