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Brain Space Initiative Talk Series
October 9, 2020 @ 11:00 am - 12:30 pm
New Maps of Activation, Connectivity, and Hierarchy using Ultra High Resolution fMRI
Layer fMRI, requiring high field, advanced pulse sequences, and sophisticated processing methods, has emerged in the last decade. The rate of layer fMRI papers published has grown sharply as the delineation of mesoscopic scale functional organization has shown success in providing insight into human brain processing. Layer fMRI promises to move beyond being able to simply identify where and when activation is taking place as inferences made from the activation depth in the cortex will provide detailed directional feedforward and feedback related activity. This new knowledge promises to bridge invasive measures and those typically carried out on humans. In this talk, I will describe the challenges in achieving laminar functional specificity as well as possible approaches to data analysis for both activation studies and resting state connectivity. I will highlight our work demonstrating task-related laminar modulation of primary sensory and motor systems as well as layer-specific activation in dorsal lateral prefrontal cortex with a working memory task. Lastly, I will present recent work demonstrating cortical hierarchy in visual cortex using resting state connectivity laminar profiles.
Biosketch: Dr. Bandettini received his undergraduate degree in Physics from Marquette University in 1989, and his Ph.D. in Biophysics in 1994 at the Medical College of Wisconsin where he led the effort to carry out one of the first successful experiments in functional MRI. He completed his post doc at the Massachusetts General Hospital NMR Center in 1996. After spending three years as an Assistant Professor at the Medical College of Wisconsin he was recruited in 1999 to become Director of the Functional MRI Facility at and Chief of the Section on Functional Imaging Methods the National Institutes of Health. Recently, he has become the founding Director of the Center for Multimodal Neuroimaging at the National Institute of Mental Health and has started a Machine Learning group and a Data Sharing group. He also recently completed a 6 year tenure as Editor In Chief of the Journal, NeuroImage. He is the recipient of the 2001 OHBM Wiley Young Investigator Award, and in 2020 was awarded the ISMRM Gold Medal. His research focus over the past 29 years has been on advancing functional MRI in all ways, including novel fMRI methods in acquisition, processing, and paradigm design. He current research focus is high resolution layer fMRI, dynamic connectivity, understanding and mitigating physiologic noise in fMRI time series, and deriving individual specific information using fMRI. He has published over 175 papers and has presented over 390 invited lectures.
· Layer-dependent functional connectivity methods, Huber et al, Progress in Neurobiology (in press) (https://doi.org/10.1016/j.pneurobio.2020.101835)
· Higher and deeper: Bringing layer fMRI to association cortex, Finn et al, PsyArXiv (preprint) (https://psyarxiv.com/3xbzw/)
· Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex, Huber et al. NeuroImage, 2020. (https://doi.org/10.1016/j.neuroimage.2019.116463)
· Layer-dependent activity in human prefrontal cortex during working memory. (https://doi.org/10.1038/s41593-019-0487-z)
· High-resolution CBV-fMRI allows mapping of laminar activity and connectivity of cortical input and output in human M1. Neuron 96, 1253-1263, 2017 (https://doi.org/10.1016/j.neuron.2017.11.005)
Friday, Oct 9, 2020 11:00 am | 1 hour 30 minutes | (UTC-04:00) Eastern Time (US & Canada)
Meeting number: 120 090 0968
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