Brain Space Initiative Talk Series: Shella Keilholz

Join us, Friday, November 6^th, 2020, at 11 AM EDT for an exciting virtual talk by Dr. Shella Keilholz entitled: “Disentangling the intrinsic functional architecture of the brain” as part of the activities of the Brain Space Initiative, co-sponsored by the Center for Translational Research in Neuroimaging and Data Science (TReNDS) and the Data Science Initiative, IEEE Signal Processing Society.     Disentangling the intrinsic functional architecture of the brain The brain has all of the hallmarks of a complex system, with meaningful activity occurring at a wide range of spatial and temporal scales. When measured with resting state fMRI, all of this activity is compressed into a single measurement of the resulting hemodynamic response for each voxel at each time point. However, by leveraging the spatial, temporal and spectral properties of different types of activity, we may be able to identify signatures in the rs-fMRI signal. In this talk, I will describe some of the types of activity that we expect to contribute to the rs-fMRI signal and features that might allow us to selectively extract them for use in research or the clinic.   Biosketch: Dr. Shella D. Keilholz received her B.S. degree in physics from the University of Missouri Rolla (now Missouri University of Science and Technology) and her Ph.D. degree in engineering physics at the University in Virginia.  Her thesis focused on quantitative measurements of perfusion with arterial spin labeling MRI. After graduation, she went to Dr. Alan Koretsky’s lab at the NIH as a Postdoctoral Researcher to learn functional neuroimaging. She is currently a Professor in the joint Emory/Georgia Tech Biomedical Engineering Department, Atlanta, GA, USA and Program Director for the 9.4 T MRI.  Her research seeks to elucidate the neurophysiological processes that underlie the BOLD signal and develop analytical techniques that leverage spatial and temporal information to separate contributions from different sources.   Recommended Articles: ·         Zhang X, Pan WJ, Keilholz SD. The relationship between BOLD and neural activity arises from temporally sparse events. Neuroimage. 2020 Feb 15;207:116390. doi: 10.1016/j.neuroimage.2019.116390. Epub 2019 Nov 27. PMID: 31785420; PMCID: PMC7252681. ·         Kashyap A, Keilholz S. Dynamic properties of simulated brain network models and empirical resting-state data. Netw Neurosci. 2019 Feb 1;3(2):405-426. doi: 10.1162/netn_a_00070. PMID: 30793089; PMCID: PMC6370489. ·         Abbas A, Belloy M, Kashyap A, Billings J, Nezafati M, Schumacher EH, Keilholz S. Quasi-periodic patterns contribute to functional connectivity in the brain. Neuroimage. 2019 May 1;191:193-204. doi: 10.1016/j.neuroimage.2019.01.076. Epub 2019 Feb 10. PMID: 30753928; PMCID: PMC6440826. ·         Yousefi B, Shin J, Schumacher EH, Keilholz SD. Quasi-periodic patterns of intrinsic brain activity in individuals and their relationship to global signal. Neuroimage. 2018 Feb 15;167:297-308. doi: 10.1016/j.neuroimage.2017.11.043. Epub 2017 Nov 22. PMID: 29175200; PMCID: PMC5845807. ·         Thompson GJ, Pan WJ, Keilholz SD. Different dynamic resting state fMRI patterns are linked to different frequencies of neural activity. J Neurophysiol. 2015 Jul;114(1):114-24. doi: 10.1152/jn.00235.2015. Epub 2015 Jun 3. Erratum in: J Neurophysiol. 2015 Dec;114(6):3400. PMID: 26041826; PMCID: PMC4507971.     Meeting information: Friday, Oct 23, 2020, 11:00 am | 1 hour 30 minutes | (UTC-04:00) Eastern Time (US & Canada) Meeting number: 120 048 3374 Password: MMaTSCqm684 https://gsumeetings.webex.com/gsumeetings/onstage/g.php?MTID=eedda8efada50d1636d07691bf0980d40   Join by video system Dial 1200483374@gsumeetings.webex.com You can also dial 173.243.2.68 and enter your meeting number.   Join by phone +1-415-655-0002 US Toll Access code: 120 048 3374   We hope to see you there!