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SUMMARY:Principles of intensive human neuroimaging - Dr. Eline Kupers\, CM
 RR\, University of Minnesota\, United States.
DTSTART:20250324T123000Z
DTEND:20250324T133000Z
UID:TALK226339@talks.cam.ac.uk
CONTACT:Dace Apšvalka
DESCRIPTION:*Speaker:* Dr. Eline Kupers\, Center for Magnetic Resonance Re
 search\, Department of Radiology\, University of Minnesota\, United States
 .\n\n*Title:* Principles of intensive functional MRI.\n\n*Abstract:* Human
  neuroscience is experiencing a growing interest in the acquisition and op
 enly sharing of large-scale functional magnetic resonance imaging (fMRI) d
 atasets. Initial large-scale fMRI data sets have focused on either ‘wide
 ’ sampling: acquiring a few hours of brain data from many participants (
 n ≥ 100\; e.g.\, the UK BioBank (Miller et al.\, 2016)\, or ‘deep’ s
 ampling: acquiring many hours of brain data from a few participants (n ≤
  20\; e.g.\, the Midnight Scan Club (Gordon et al.\, 2017)). By collecting
  many hours of data from a small group of participants\, these deep datase
 ts have enabled detailed investigation of brain structure and function. In
  this talk\, I will highlight an emerging deep sampling approach in fMRI\,
  which we term ‘intensive’ fMRI\, that aims to extensively sample cogn
 itive phenomena within a small group of individuals to support within-subj
 ect computational modeling at the voxel level. I will discuss the key char
 acteristics of intensive fMRI: to create datasets with well-designed exper
 iments that enable a rich hypothesis space\, that maximize both data quant
 ity and quality\, and that serve as a valuable community resource. Informe
 d by efforts creating the Natural Scenes Dataset (Allen et al.\, 2022) and
  the upcoming Visual Cognition Dataset\, I will address practical consider
 ations and challenges of intensive fMRI\, including optimizing trial and e
 xperimental design and screening and selecting participants to maximize da
 ta quality. When done well\, intensive fMRI datasets enable better models 
 of human cognition and bridge multiple neuroscience communities.\n\n*Bio:*
  Dr. Eline Kupers is currently a postdoc working with Dr. Kendrick Kay at 
 the Center for Magnetic Resonance Research (CMRR) at the University of Min
 nesota\, Twin Cities. Her research focuses on understanding the underlying
  organization and neural computations that support and limit human visual 
 perception\, combining computational tools\, psychophysics\, and neuroimag
 ing techniques (functional MRI\, EEG and MEG). She received her PhD from N
 ew York University\, working with Dr. Jonathan Winawer and Dr. Marisa Carr
 asco\, and did her first postdoc working with Dr. Kalanit Grill-Spector at
  Stanford University. In the Fall of 2025\, Eline will start her own lab a
 s tenure-track faculty at York University in Toronto\, Canada.\n\n*Venue:*
  MRC CBU West Wing Seminar Room and Zoom https://us02web.zoom.us/j/8238511
 3580?pwd=RmxIUmphQW9Ud1JBby9nTDQzR0NRdz09 (Meeting ID: 823 8511 3580\; Pas
 scode: 299077)
LOCATION: MRC-CBU\, 15 Chaucer Road\, Cambridge
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