Dr. Scott J. Peltier Profile

Dr. Scott J. Peltier

at Emory Univ

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Author

Publications (5)

Proceedings Article | 14 April 2005 Paper

Spatial embedding of fMRI for investigating local coupling in human brain

Gopikrishna Deshpande, Stephen LaConte, Scott Peltier, Xiaoping Hu

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.595262

KEYWORDS: Functional magnetic resonance imaging, Brain, Image segmentation, Chaos, Brain mapping, Tissues, Data acquisition, Complex systems, Electroencephalography, Systems modeling

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Proceedings Article | 14 April 2005 Paper

Changes in interhemispheric motor connectivity after muscle fatigue

Scott Peltier, Stephen LaConte, Dmitriy Niyazov, Jing Liu, Vinod Sahgal, Guang Yue, Xiaoping Hu

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.595628

KEYWORDS: Brain, Medical imaging, Physiology, Functional magnetic resonance imaging, Magnetic resonance imaging

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Proceedings Article | 30 April 2004 Paper

Detecting nonlinear dynamics of functional connectivity

Stephen LaConte, Scott Peltier, Yasser Kadah, Shing-Chung Ngan, Gopikrishna Deshpande, Xiaoping Hu

Proceedings Volume 5369, (2004) https://doi.org/10.1117/12.535804

KEYWORDS: Functional magnetic resonance imaging, Brain, Physiology, Nonlinear dynamics, Signal to noise ratio, Brain mapping, Dynamical systems, Time metrology, Magnetic resonance imaging, Neuroimaging

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Proceedings Article | 30 April 2004 Paper

Robust ICA analysis for model-free functional connectivity detection

Scott Peltier, Yasser Kadah, Stephen LaConte, Xiaoping Hu

Proceedings Volume 5369, (2004) https://doi.org/10.1117/12.536065

KEYWORDS: Independent component analysis, Denoising, Data modeling, Magnetic resonance imaging, Interference (communication), Functional magnetic resonance imaging, Data acquisition, Brain, Principal component analysis, Signal to noise ratio

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Proceedings Article | 30 April 2004 Paper

Online detection of low-frequency functional connectivity

Scott Peltier, Stephen LaConte, Xiaoping Hu

Proceedings Volume 5369, (2004) https://doi.org/10.1117/12.535764

KEYWORDS: Linear filtering, Magnetic resonance imaging, Brain, Statistical analysis, Data acquisition, Functional magnetic resonance imaging, Algorithm development, Scanners, Medical imaging, Physiology

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