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By: Chao-Gan Yan The 5th Annual Event of Chinese Young Scholars for Human Brain Mapping was held on June 23, 2021 under the topic of “Neuroimaging data sharing and open brain science in China”. As in previous editions, the goal of this event is to bring together Chinese researchers from the OHBM community to communicate, discuss, and collaborate on cutting edge neuroscience research topics and methods. We invited Professors Ying Han, Jiang Qiu, Sha Tao, Chao-Gan Yan, Chun-Shui Yu, Yu-Feng Zang, Zhan-Jun Zhang, and Xi-Nian Zuo to give talks on open neuroimaging resources in China.
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By Peter Bandettini; production by Kevin Sitek & Rachael Stickland
Dr. Hariri recently published an important paper on the test-retest reliability of common task-fMRI measures. This received attention in the field and from the popular media and generated useful discussions. In this podcast Peter and Ahmad discuss the implications of this paper and how to address the challenges it presents and continue to move the field forward. This is an informative and positive discussion about how to collectively address these issues as a field. By Tzipi Horowitz-Kraus & Nils Muhlert
The neuroimaging community has been very active in creating large-scale studies across a range of age groups, which have helped to tackle reproducibility issues. Most studies originate in the United States and Europe, although many other geographic regions are pursuing similar initiatives (for instance, you can read about initiatives in China in our blogpost). The Middle East, a 7.2m km2 region of diverse religions and cultures, has been very productive in the neuroimaging community in the past years. To get an update on how neuroimaging is changing in this region we asked brain mappers from the middle east to let us know of their projects and surveyed prominent researchers in different countries. We provide a brief overview of some of these activities in the Emirates, Israel, Saudi Arabia, and Turkey with the hope of future scientific collaboration between these countries.
Interview by Peter Bandettini, production by Nils Muhlert and Niall Duncan
This podcast idea was precipitated by Dimitri Kullman’s 2020 editorial in Brain, causing a stir in the community. It leveled criticism about the clinical validity of fMRI. Some of it was outdated but some was indeed on point. In this podcast we had a great discussion on all things fMRI - what it can and cannot measure, and how it can continue to proceed. We also discuss some of the scientific culture surrounding fMRI. Overall, the discussion was useful in bringing some of the flaws as well as some of the outstanding innovations to light. We ended up agreeing that fMRI is in fact, an extremely useful tool that allows penetrating insight into the brain at a specific temporal and spatial scale. We feel that there is still considerable hope yet also considerable challenge in increasing its clinical relevance.
Guests:
Dr. Dimitri Kullmann is a professor of Neurology at UCL Queen Square Institute of Neurology. Dimitri received his doctorate from the University of Oxford in 1984 and his Bachelor of Medicine/Surgery from the University of London in 1986. He alternated between research in synaptic transmission and post graduate medical training in London. In 1992, he started his lab at the Institute of Neurology and in 2000, he became a fellow of the Royal College of Physicians. Dimitri's interests span the fundamental mechanisms of synaptic transmission, the computational properties of small neuronal circuits, and alterations in neuronal and circuit excitability in epilepsy and other neurological disorders. The core methods in his lab are in vitro electrophysiology and pharmacology, but he also applies confocal and two-photon laser scanning microscopy, computational simulations, molecular genetic methods, and heterologous expression of mutated ion channels. His laboratory has contributed to the discovery of silent synapses, glutamate spillover, presynaptic GABAA receptors in the cortex, human epilepsy caused by K+ and Ca2+ channel mutations, tonic inhibition in the hippocampus, and Hebbian and anti-Hebbian LTP in hippocampal interneurons. One of Dimitri's goals is to understand how phenomena that he has studied at the cellular level interact to regulate the excitability of small neuronal circuits. He is integrating studies on hippocampal circuit function with knowledge of how interneurons and principal cells fire during different behaviours. This is being approached both experimentally and with computational simulations. He also aims to apply his lab's recent insights into the cellular consequences of inherited mutations of ion channels (channelopathies) to develop new ways to diagnose and treat neurological diseases. Dimitri was editor of the journal Brain from 2013 to 2020. He brings to the table the perspective of a clinician neuroscientist who does research at the neuronal scale. Dr. Vince Calhoun is the director, since 2019, of Translational Research in Neuroimaging and Data Science (TReNDS), which includes three universities: Georgia State, Georgia Tech, and Emory. In 2002, Vince received his Ph.D. in Electrical Engineering from the University of Maryland Baltimore County, and then became an assistant clinical professor at Yale, Director of the Medical Image Analysis laboratory Institute of Living, in Hartford. He moved on in 2006 to the University of New Mexico, Albuquerque as an associate professor, and moved up to become a Distinguished Professor at The University of New Mexico and as a leader in various forms of the Mind Research Network in Albuquerque. Vince is an expert on brain imaging acquisition and analysis and has created numerous algorithms for making sense of complex brain imaging data. He is the creator of the group independent component analysis algorithm, which has become widely used for extracting 'networks' of coherent activity from functional magnetic resonance imaging (fMRI) data. He was an early innovator in approaches to characterize the dynamics of brain connectivity. He has also developed techniques to link many different types of data, called 'data fusion' including various types of brain imaging (structural, functional, connectivity) with genomic and epigenomic data. A key focus of Calhoun's work is the development of tools to identify brain imaging markers to help identify and potentially treat various brain disorders including schizophrenia, bipolar disorder, autism, and Alzheimer's disease. He has recently served as President of the OHBM and has been truly prolific in his work to push the methodology of fMRI. --- The Neurosalience production team consists of Anastasia Brovkin, Katie Moran, Nils Muhlert, Kevin Sitek, and Rachael Stickland. Neurosalience Episode 14: The 2021 OHBM Early Career Investigator Award winner: Chao-Gan Yan.7/2/2021
By Peter Bandettini & the OHBM Neurosalience production team
Here Professor Peter Bandettini has a wide ranging discussion with the 2021 Early Career Investigator Awardee, Chao-Gan Yan. They talk a bit about his career path, the highly impactful work he has been doing, as well as some of the most challenging issues in fMRI: dealing with motion, variability, finding biomarkers, and designing just the right packages that help the beginner and expert alike. Chao-Gan gives some great advice to new investigators regarding what was important to him to get him where he is today.
Guest:
Dr. Chao-Gan Yan is a professor at the Institute of Psychology, Chinese Academy of Sciences (IPCAS). He is the Director of the Magnetic Resonance Imaging Research Center, the Director of International Big-Data Center for Depression Research, and the Principal Investigator of The R-fMRI Lab located at IPCAS. Before he joined the IPCAS in 2015, he worked as a Research Scientist at the Nathan Kline Institute for Psychiatric Research and a Research Assistant Professor at the Department of Child and Adolescent Psychiatry, New York University School of Medicine. Dr. Yan received his Ph.D. degree in Cognitive Neuroscience from State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University in 2011. His research mainly focuses on the resting-state fMRI (R-fMRI) computational methodology, mechanisms of spontaneous brain activity, and their applications in depression. He has addressed fundamental methodological issues such as the impact of head motion, standardization, and multiple comparisons on the study of resting-state functional connectomics. He has also developed data processing and analysis toolbox for R-fMRI, DPABI, and DPARSF, the latter having been cited over 2000 times. --- The Neurosalience production team consists of Anastasia Brovkin, Katie Moran, Nils Muhlert, Kevin Sitek, and Rachael Stickland. |
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