Peter A. Bandettini
National Institutes of Health
279 Papers
1.6K Citations
Peter A. Bandettini is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Computer science & Functional magnetic resonance imaging. The author has an hindex of 84, co-authored 261 publications. Previous affiliations of Peter A. Bandettini include Medical College of Wisconsin & Harvard University.
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Papers
Detecting and harmonizing scanner differences in the ABCD study - annual release 1.0
Dylan M. Nielson,Francisco Pereira,Charles Y. Zheng,N Migineishvili,Ja Lee,Adam G. Thomas,Peter A. Bandettini +6 more
TL;DR: It is argued that accounting for scanner variance, including even minor differences in scanner hardware or software, is crucial for any analysis and can be harmonized using an empirical Bayes approach known as ComBat.
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Patent
Time course MRI imaging of brain functions
Andrzej Jesmanowicz,Peter A. Bandettini,James S. Hyde,Eric C. Wong +3 more
- 27 Dec 1994
TL;DR: In this paper, the EPI pulse sequence is performed by an NMR system which acquires 128 images of the brain over a time interval during which the subject performs a function or is stimulated.
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Magnetic Resonance Imaging of Human Brain Function: Principles, Practicalities, and Possibilities
Peter A. Bandettini,Eric C. Wong +1 more
TL;DR: A review of functional magnetic resonance (fMR) imaging can be found in this article, where four sections address the principles, practicalities, and potentials of fMR imaging.
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Pseudo‐continuous arterial spin labeling at 7 T for human brain: Estimation and correction for off‐resonance effects using a Prescan
TL;DR: A robust Prescan procedure is demonstrated to estimate the pseudo‐continuous ASL radiofrequency phase and gradients parameters required to compensate the off‐resonance effects at each vessel location and it is shown that this approach can be used to acquire high quality whole‐brain pseudo‐ continuous ASL perfusion data of the human brain at 7 T.
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Integrated VASO and perfusion contrast: A new tool for laminar functional MRI.
TL;DR: This new tool, with its highly specified functional layer profile, robust reproducibility, and improved sensitivity, is demonstrated to allow investigation of layer-specific cortical functions in humans to measure laminar activity.
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