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  • 39th CiNet Monthly Seminar: Peter Bandettini “Advancing methods in fMRI: A perspective on ultra-high resolution mapping, task decoding, cross subject correlation, and multi-echo based denoising”

39th CiNet Monthly Seminar: Peter Bandettini “Advancing methods in fMRI: A perspective on ultra-high resolution mapping, task decoding, cross subject correlation, and multi-echo based denoising”

 

CiNet Monthly Seminar

September 9, 2019
15:00-16:00
CiNet 1F Conference Room

Organizers:
National Institute of Information and Communications Technology
National Institute of Mental Health, National Center of Neurology and Psychiatry

Title: “Advancing methods in fMRI: A perspective on ultra-high resolution mapping, task decoding, cross subject correlation, and multi-echo based denoising”

Peter Bandettini
Chief of the Section on Functional Imaging Methods
Director, Functional Magnetic Resonance Imaging Core Facility (FMRIF)
National Institutes of Health

Host at NICT: Hiromasa Takemura (Kida Group)

Abstract:
My research group specializes in developing novel functional MRI acquisition strategies, paradigms, and processing methods. Our aim is to both push fMRI into greater utility for basic neuroscience questions as well as to make fMRI more robust and powerful for clinical brain research and application. Along these lines, I will discuss the challenges of imaging at high resolution and demonstrate the utility of our approach using a novel blood volume based contrast, known as VASO, for mapping layer-specific organization related to sensory, motor, visual, and cognitive tasks. Towards the goal of understanding subtle individual characteristics, I will demonstrate the utility of our cross-subject analysis approach as well as our dynamic connectivity-based decoding method. Lastly, I will discuss a useful and elegant method for removing all non-BOLD artifactual fluctuations from time series using multi-echo EPI combined with independent component analysis (ICA).