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In this final episode of Neurosalience Season 4, Peter Bandettini hosts Janaina Mourao-Miranda, Simon Eickhoff, Sepideh Sadaghiani, Thomas Yeo, Michael Milham. The discussion was centered around:
Clinical relevance of fMRI today.
Future directions of neuroimaging, promises to get excited about, and overpromises that need to be considered cautiously.
How can fMRI help to understand the brain from a general point of view.
This is the final episode of Neurosalience Season 4! See you in the next season :)
Episode producers:
Omer Faruk Gulban
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In this episode, Peter Bandettini hosts Jon Polimeni, Renzo Huber, Nikola Stikov, Luca Vizioli, and Essa Yacoub. They talk about the International Society for Magnetic Resonance in Medicine (ISMRM) and Organization for Human Brain Mapping (OHBM) conferences where they have attended both over many years. The conversation revolves around what each meeting offers, how they differ, how we might increase cross-talk, and why that would be a good thing. They also highlight some of the exciting work and developments gleaned from ISMRM that might not appear at OHBM. Enjoy!
Episode producers:
Omer Faruk Gulban
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Fehlende Folgen?
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Here Kevin Sitek (the Chair of the OHBM Communications Committee and a Research Assistant Professor in Communication Sciences and Disorders at Northwestern University), Sofie Valk (Research group leader and Scientific representative at Otto Hahn Group Cognitive Neurogenetics), and Hae-Jeong Park (Professor of Nuclear Medicine, Yonsei University College of Medicine, South Korea) discuss what to expect from OHBM 2024, including the education sessions, Oral Sessions, Symposia, Keynotes, and Talairach Lecture as well as discussion of the many informal round table sessions offered, the social events, the outreach, the SIGs, and the Communication Committee. They also discussed a bit about Korea and how the meeting came to be here this year. A great discussion with lots of information! See you there June 23 to June 27!
Episode producers:
Omer Faruk Gulban
Xuqian Michelle Li
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Dr. Vince Calhoun is the founding director of the tri-institutional center for translational research in Neuroimaging and Data Science (TReNDS) which is a consortium formed by Georgia State University, Georgia Tech, and Emory University.
In this part 2 of Peter and Vince’s discussion, they dive further into addressing the challenges that fMRI and other modalities face in finding useful information about psychiatric disorders that can be used clinically. They talk about what neuroimaging has taught us about schizophrenia, as well as the goals and challenges of establishing clinical relevance. They also talk a bit about the importance of a data driven approach to development of processing methods, as well as variability in fMRI data, and the challenges and opportunities that big data sets offer, the promise of data fusion, and multivariate modeling. Lastly, they also discuss his latest work in deep learning and what it offers, and spend quite a bit of time discussing data driven approaches vs model driven approaches.
This discussion was an outstanding perspective builder. We hope that you enjoy it!
Episode producers:
Omer Faruk Gulban
Xuqian Michelle Li
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#A conversation with 2024 Keynote Speaker Nicola Palomero-GallagherTODO: Link to blog postInterviewers:- Naomi L. Gaggi- Beatriz Padrela
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A conversation with 2024 Keynote Lecture presenter Luis Concha
https://www.ohbm-com.com/blog/a-conversation-with-keynote-speaker-luis-concha
Interviewers:
- Eduardo A. Garza-Villarreal
- Diana Giraldo
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Today our guest is Dr. Vince Calhoun, who's also a longtime colleague and friend of Peter Bandettini. Vince is the founding director of the tri-institutional center for translational research in Neuroimaging and Data Science (TReNDS) which is a consortium formed by Georgia State University, Georgia Tech, and Emory University.
Vince Received his BS in electrical engineering from the University of Kansas, in 1991, two masters degrees in Biomedical engineering and information systems from Johns Hopkins in 1993, and 1996, and his Ph.D. in EE from the University of Maryland Baltimore County in 2002. After four years at Yale University, he became President of the Mind Research Network and Distinguished Professor at the University of New Mexico, before he moved to Atlanta for his present position several years ago.
Vince's focus over the years could be summarized as using fMRI and other neuroimaging methods while developing processing methods to extract every possible useful bit of information. He's been prodigiously engaged and productive for over 20 years advancing multi-modal brain imaging, data fusion, and machine learning. His work has inspired new ways of looking at the data.
In this discussion, Peter and Vince talk about work, professional journey from the east coast to New Mexico and now to Atlanta, as well as his successful battle with cancer in about 2010. We hope you enjoy this episode.
Episode producers:
Xuqian Michelle Li
Johanna Bayer
Omer Faruk Gulban
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A conversation with 2024 Keynote Lecture presenter Mac Shinehttps://www.ohbm-com.com/blog/a-conversation-with-dr-mac-shine-ohbm-2024-keynote-interview-series-pt3Interviewers:- Alfie Wearn- Xuqian Michelle Li
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A conversation with 2024 Talairach Lecture presenter Zarin Machanda
https://www.ohbm-com.com/blog/a-conversation-with-2024-talairach-lecture-presenter-zarin-machanda
Interviewers:- Elisa Guma- Lavinia Uscatescu
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Today we zoom in on Vancouver British Columbia to interview Dr. Todd Woodward, who is a professor in the department of psychiatry at the University of British Columbia and director of the UBC Brain Dynamics Laboratory. He's also the Director of the Cognitive Neuroscience of Schizophrenia Laboratory at BC Mental Health and Addictions Research Institute in Vancouver.
Dr. Woodward received his Ph.D. in Experimental Neuropsychology at the University of Victoria in 1999, and performed his post-doc in the department of psychology at UBC. Since 2003 he's moved up from research scientist to professor - all at the University of British Columbia.
He's been working at the interface of processing methods and well-crafted experimental designs to probe the networks that may be disrupted in schizophrenia and other disorders. He and his team developed almost two decades ago a unique and elegant method known as constrained principal component analysis ( or CPCA), which he has been applying successfully with many different tasks.
He's also deeply interested in novel non-pharmaceutical interventions that help augment schizophrenia treatment - having developed a program called metacognitive training (MCT), which may allow those with schizophrenia to be able to step back and begin to assess their own beliefs.
This was such a wide ranging conversation which delved into the nuts and bolts of CPCA as well as the potential future role that neuroimaging can play in better understanding and ultimately treating schizophrenia. We hope you enjoy this episode.
Episode producers:
Omer Faruk Gulban
Xuqian Michelle Li
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This episode’s guest is arguably one of the most influential scientists in the human brain mapping community. Dr. Peter Fox, director of the Research Imaging Institute at the University of Texas Health, San Antonio. Early in his career he wrote the seminal paper that showed, using positron emission tomography , that brain-activation related increases in blood flow are accompanied by only small increases in oxidative metabolic - resulting in the blood locally increasing in oxygenation. This paper set the foundation for understanding all of Blood Oxygen Level Dependent Contrast used in fMRI today. The true purpose of activation-related flow increases is still an open question. The story of the events and details surrounding this are in his review article from the 2012 NeuroImage special issue. It's titled, simply "The coupling controversy."
Dr. Fox was also among the first to promote data sharing and pooling with his brainmap database, and early on, established stereotactic coordinates and spatial normalization as a way to put data into a shareable space. He started the annual meeting that pre-dated the Organization for Human Brain Mapping, and also founded one of the major brain mapping journals today, titled: Human Brain Mapping.
Peter had his formative undergraduate education at the extremely unique St. Johns college in Annapolis. He received his MD from Georgetown University, interned at Duke University, then carried out his residency and fellowship at Washington University where he worked closely with Dr. Mark Raichle, who was at the time pioneering PET scanning.
In this discussion, we delve into his contributions in a wide range of topics, from neurovascular coupling to the challenge of spatial normalization - particularly at high resolution - to subject variability, to clinical applications and the ongoing evolution of scientific publishing. Lots of history, content, and insight here. We hope you enjoy it!
Notable paper:
Fox PT., The Coupling Controversy, Neuroimage. 2012 Aug 15; 62(2): 594–601.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019339/
Episode producers:
Omer Faruk Gulban
Stephania Assimopoulos
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In this episode, our guest is Rotem Botvinik-Nezer, a postdoc at Dartmouth University, working with Dr. Tor Wager in his Cognitive and Affective Neuroscience Lab. In 2020, Dr. Botvinik-Nezer was first author of an influential paper published in Nature, titled Variability in the analysis of a single neuroimaging dataset by many teams, where the results were compared from 70 independent teams analyzing a single data set having 9 hypotheses. This paper made it clear that there are many points of variability in data analysis pipelines, and provided further incentives for sharing data and code to grow consensus and replicability. While the popular press suggested that this paper was yet another hit to fMRI, we discuss how even papers that critique the results of this seminal paper ultimately converge in agreement with the overall message of systematic transparency. Dr. Botvinik-Nezer also has a strong interest in how our brains influence our perception of pain, having just published a recent paper showing evidence that regions associated with painful stimuli remain active even when subjects experience less pain while having the belief that a placebo is effective.
In this conversation, Peter and Rotem delve into all these topics and more, but spend the bulk of the discussion on the interplay between choices in analyses, such as determining a statistical threshold, and variability in results. We also discuss incentives for users to share data and code and possible ways to create a more solid scaffolding for best practices.
Episode producers:
Omer Faruk Gulban
Xuqian Michelle Li
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Dr. Daniele Marinazzo is a full professor in the department of data analysis at the University of Ghent, in Belgium. For over a decade he has been showing us what further information and insight we may extract from brain imaging data - from EEG and MEG to fMRI. He is technically a statistical physicist, but in reality, he is a network neuroscientist and data modeler who is constantly pushing the envelope.
In this podcast he discusses some recent papers that go into how we might be able to improve the impact and relevance of new findings and models through careful benchmarking and well considered experimental design.
He talks about his desire to move from correlation to causation in functional connectivity studies, he discusses granger causality, as well as moving from pairwise correlation to multivariate correlation.
Furthermore, he delves into the limits of hemodynamics - limits that may be pushed back to a degree, as suggested by his compelling work showing that hemodynamic response function, which varies over space, may be estimated on a voxel-wise basis using resting state data alone.
His work in estimating and mapping the Excitation/Inhibition ratio in the brain by using gamma frequency coherence as a signature was also discussed. This has potentially profound clinical and research applications.
Lastly, his collaborative work with the European Human Brain Project towards the creation of the useful website, called ebrains (https://www.ebrains.eu), was discussed, which serves as a repository and tool for exploring shared data and code, as well as providing a user-friendly encapsulation of the project's collective effort.
It is an all-around fun, eye-opening discussion featuring an outstanding scientist who is not only deep in the trenches of network modelling, but also a strong proponent of open science and constant engagement across disciplines.
Episode producers:
Omer Faruk Gulban
Alfie Wearn
Stephania Assimopoulos
Referenced Papers:
Mika Rubinov. Circular and unified analysis in network neuroscience. eLife. 2023; 12:e79559. Doi: 10.7554/eLife.79559
Reid AT, et al. Advancing functional connectivity research from association to causation. Nat Neurosci. 2019 Nov;22(11):1751-1760. Doi: 10.1038/s41593-019-0510-4.
Valdes-Sosa PA et al. Effective connectivity: Influence, causality and biophysical modelling. Neuroimage. 2009; 58(2): 339-361. Doi: 10.1016/j.neuroimage.2011.03.058.
Wu GR, et al. A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Medical Image Analysis. 2013; 17(3):365-374. Doi:
10.1016/j.media.2013.01.003.
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Today, we are excited to have Dr. Gang Chen on the podcast. Dr. Chen is the go-to statistics guru for the fMRI community at the NIH and a well-respected scientist worldwide. He is a staff scientist in the group that developed the AFNI software package. As an applied mathematician, Dr. Chen has written a series of insightful papers in the past seven years, bucking the status quo in fMRI processing - essentially saying that we are throwing away too much valuable information by thresholding our data, relying on overly simple and rigid models of the hemodynamic response, not mapping effect sizes, and using center of mass measures to describe clusters of activation. He backs it all up with a rigorous approach characterized by all good statisticians. He is a master in the art of casting a wide net to capture useful data without taking in artifact and noise, finding that sweet spot in data reduction to balance utility with sensitivity.
In this episode, we hear all about Dr. Chen’s perspectives through these papers, which are so important yet not widely known or embraced by the field. We hope you enjoy it!
Episode producers:
Omer Faruk Gulban
Xuqian Michelle Li
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In this episode, it's our pleasure to host Jack Wells who is a Wellcome Trust Career Development Fellow at the University College London Center for Advanced Biomedical Engineering. Dr. Wells received his Ph.D. in MRI in the Department of Medical Physics and Bioengineering at at University College London in 2010, and since he began his scientific career, he's been working at the interface of MRI methodology and neurophysiology - focusing on understanding the Cerebral Spinal Fluid dynamics and how they may relate to the Glymphatic system. He and his colleagues have been among the leaders in using MRI to image and characterize the glymphatic system as well as the brain - cerebrospinal fluid barrier. The glymphatic system is hypothesized to be the paravascular mechanism by which CSF is washed through brain tissue - typically during sleep - clearing out metabolic waste. It is an incompletely understood yet potentially profoundly important system where its dysfunction may be at the root of disorders that include Alzheimer's disease.
In this wonderful conversation we hear all about Jack's and others' work imaging and understanding the hydrodynamics and spatial organization of neurofluids in the brain.
We hope you enjoy this conversation as much as we did!
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If you are interested in working with Nathan, he is currently recruiting for a postdoc! Send your CV to [email protected]
Today our guest is Nathan Spreng. Dr. Spreng is the James McGill Professor of Neurology and Neurosurgery and Director of the Laboratory of Brain and Cognition at the Montreal Neurological Institute and Hospital at McGill University.
As an undergraduate, Dr. Spreng was initially interested in pursuing a major in poetry until he took a psychology class that sparked his interest in the brain. He received Ph.D. in 2008 from the University of Toronto in Brian Levine's lab, and post docs with Cheryl Grady at the University of Toronto and Dan Schacter at Harvard. After about 5 years as an assistant professor at Cornell University, he moved to McGill University.
Throughout his career Dr. Spreng has been using fMRI to reveal subtle yet repeatable large-scale brain networks as they relate attention, memory, cognitive control, and social cognition. He has also helped to elucidate the central role that the default network plays in self-generated thought, and in how it dynamically interacts with multiple systems in the brain.
In this episode Peter and Nathan have a far reaching conversation about his work and what it implies, covering his study of age dependence of resting state hippocampal-linked network ensembles, how to move from mapping networks to modeling and understanding mechanisms, the many possible clinical implications of his work, current understanding of Alzheimer's disease, our mutual appreciation for multi-echo EPI, his data release paper of a large multi-echo EPI and structural MRI data set, and much more.
Enjoy listening!
Episode producers:
Alfie Wearn
Omer Faruk Gulban
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It is our great pleasure and deep honor to host Dr. Marsel Mesulam who is a giant in the field of Neurology and one of founders of OHBM. Dr. Mesulam is Chief of Behavioral Neurology and the Ruth Dunbar Davee Professor of Neuroscience at Northwestern University Feinberg School of Medicine, and Professor of Behavioral Neurology at the Weinberg College of Arts and Sciences.
Dr. Mesulam received his MD from Harvard Medical School in 1972, and in 1976 completed residencies at Boston City Hospital and Beth Israel Deaconess Medical Center in Boston. After a 1 year postdoc at Harvard University he began his tenure in Chicago at Northwestern. Dr. Mesulam's work has been both prodigious and impactful over the years, as his almost 1000 papers have been cited over 140 thousand times. He has written the seminal book, Principles of Behavioral and Cognitive Neurology, and has produced many landmark papers - a few of which we'll discuss in the podcast. One paper that we consider a masterpiece was published in Brain in 1998 and titled From Sensation to Cognition. This can be considered as a required reading for everyone in the field of brain mapping as it lays out so concisely and eloquently, a breathtaking perspective of the structure and functional organization of the human brain.
Dr. Mesulam's research is extremely broad and diverse, having impacted such areas as neural networks and functional imaging, Dementia, Alzheimer's Disease, Primary Progressive Aphasia (PPA), Cholinergic Pathways, Acetylcholinesterase Studies, Cognitive Psychology, Neurology, and Neuropsychiatry. He also developed, early in his career, a neuronal marker, Tetramethyl benzidine, that profoundly impacted research in this area.
In this inspiring conversation, Peter and Marsel discuss his early career and what was important for his success, delve into research culture and the value of opportunistic research, and the value of having the freedom and resources to try many things and rapidly change directions that follow interesting leads. They also discuss some of the exciting early days of Neuroimaging and OHBM. Lastly, we go into some of his current research on Primary Progressive Aphasia (PPA) and the study of temporal pole disease as a window to temporal pole functional significance.
We hope that you enjoy this conversation.
Episode producers:
Alfie Wearn
Omer Faruk Gulban -
Dr. Rosenberg received her Ph.D. from the department of Psychology at Yale University, where she also carried out her post doc. In 2019, she started as an assistant professor in the Department of Psychology at the University of Chicago and is a member of the Chicago Neuroscience Institute. She has been pioneering the use of connectome-based predictive modeling to capture individual differences in the ability to sustain attention. Attention is fundamental to just about everything that we experience and do and how we navigate the world. It varies over time and each person has different abilities to maintain it. Monica has developed and used extensively a task known as gradCPT, an easy at first but hard to sustain, continuous attention task that allows moment to moment assessment of sustained attention. She has found two networks that characterize high attention vs lower attention, and these have been powerful for characterizing individuals ability to sustain attention. It's also been useful for characterizing differences in such attention-related skills such as reading comprehension. She's been delving further into both fMRI methodology and the nuances of attention ever since.
In this conversation we talk about her career development, the great environment at Yale, the development of her exciting and impactful fMRI-based human attention research. We hope you enjoy the conversation!
Episode producers:
Omer Faruk Gulban
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Today, we are excited to have Dr. Evan Gordon on the podcast. Evan is an assistant professor in the Neuroimaging Labs Research Center, based in the Mallinckrodt Institute of Radiology at the Washington University School of Medicine in St. Louis. Since joining the group and joining forces with what is known as the "midnight scan club," he has gone on a scientific tear, publishing several highly influential papers that make use of the unique high-fidelity data sets, containing up to 11 hours of resting state or task-activated fMRI data for each subject. This powerful approach in fMRI is known as "deep sampling." His findings include insights into unique individual connectivity patterns, the whole brain use of a novel parcellation approach using boundary maps, and most recently, discovery of effector-specific regions in motor cortex - a finding which is likely to replace in textbooks the classic Penfield maps of the homunculus.
This was a wonderful conversation where we explored the implementation, benefits, and potential of deep sampling of fMRI data! Evan is not only a creative and productive scientist, but a great conversationalist. We hope you enjoy it!
Episode producers:
Omer Faruk Gulban
Alfie Wearn
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Today, our guest is Shella Keilholz. Dr. Keilholz received her Bachelor's in Physics from Missouri University of Science and Technology in 1997, and her PhD in Engineering Physics from the University of Virginia in 2004. She went on to a do a post-doc at NIH in Dr. Alan Koretsky's lab and in 2004 joined the department of Biomedical Engineering at Emory University as a faculty member. She is now a full professor at Emory University and also closely affiliated with Georgia Tech.
Since around 2008 she has been uncovering new spatial and temporal patterns in resting state fMRI. She was the first to identify spatial propagation of wave-like behavior in the resting state time series and in 2011 coined the term quasi-periodic patterns (QPP) to describe whole brain networks that dominate much of the resting state signal. Recently, she and others have described three such patterns that account for most of the variance. Here we not only talk about her career but also delve into how these quasi-periodic patterns mesh with the current landscape of diverse features of resting state fMRI that continue to be found. She has shown that these patterns may have a central driver and may relate to such things as vasomotion, global signal, arousal state, and attention. In general, there is much more information from basic neurophysiology to cognition that remains to be derived from resting state fMRI, and Shella is among those leading the effort.
This was an incredibly stimulating and fun discission. We hope you enjoy it!
Episode producers:Omer Faruk Gulban
Jeff Mentch
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