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个人简介
Dr. Bandettini has continuously worked to advance fMRI methodology and utility. His lab has developed multi-contrast fMRI sequences, explored MRI-based neuronal current effects, advanced event-related and naturalistic paradigms and processing approaches, established multivariate fMRI decoding methods, developed de-noising strategies, characterized dynamic functional connectivity, and most recently, mapped cortical layer-specific activity and connectivity. His current work is directed towards establishing fMRI as a method not only for deriving insight into human brain function but also as a clinical tool for individual assessment.
Research Interests
Functional MRI (fMRI) is a technique that utilizes time-series collection of rapidly-obtained magnetic resonance images that are sensitive to brain activation-induced changes in blood flow, oxygenation, and volume. Because of its superior sensitivity and ease of use, the most common functional contrast in fMRI is blood oxygenation level-dependent (BOLD) contrast. Since the discovery of fMRI in 1991, it has continued to advance in methodology sophistication, sensitivity, temporal and spatial resolution, interpretability, and applications.
The Section on Functional Imaging Methods (SFIM), aims to develop and refine novel approaches to fMRI acquisition, brain activation paradigms, neuronal modulation, and processing methods that leverage in-depth and nuanced understanding functional MRI (fMRI) signal and noise so that more precise and interpretable information about human neuronal function and physiology can be extracted. Our ultimate goals are to advance multimodal neuroimaging to both gain insight about the brain and to contribute to health care approaches.
Major subfields of fMRI that my group focuses on are ultra-high-resolution fMRI, time-series dynamics, resting-state fMRI, and naturalistic stimuli approaches towards deriving individual characteristics. In recent years we have published work demonstrating: 1. fMRI activation resolved at the level of cortical layers, 2. Novel pulse sequences (multi-echo EPI) that allow more definitive separation of BOLD signal from noise, 3. Time series analysis methods that have been able to decode ongoing cognition as well as to derive trait differences between individuals. Since our group began at the NIH in 1999, we have published over 150 papers. We have established ourselves as one of a handful of groups worldwide that consistently advances fMRI at the interface of applications and methodology.
研究兴趣
论文共 324 篇作者统计合作学者相似作者
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MEDICAL IMAGE ANALYSIS (2024): 103010-103010
The Journal of neuroscience : the official journal of the Society for Neuroscience (2024)
Aperture Neuro (2023)
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Cell reportsno. 6 (2023): 112527-112527
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FRONTIERS IN HUMAN NEUROSCIENCE (2023): 1134012-1134012
Joshua B Teves,Javier Gonzalez-Castillo, Micah Holness, Megan Spurney,Peter A Bandettini,Daniel A Handwerker
Frontiers in neuroscience (2023): 1100544
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