Search Results - "Nalci, Alican"

The global signal in fMRI: Nuisance or Information? by Liu, Thomas T., Nalci, Alican, Falahpour, Maryam

“…The global signal is widely used as a regressor or normalization factor for removing the effects of global variations in the analysis of functional magnetic…”
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A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem by Fedorov, Igor, Nalci, Alican, Giri, Ritwik, D. Rao, Bhaskar, Q. Nguyen, Truong, Garudadri, Harinath

“…•A general class of rectified sparsity promoting priors is presented.•A class of simple, low-complexity multiplicative update rules is proposed.•A monotonicity…”
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The Effects of Global Signal Regression on Estimates of Resting-State Blood Oxygen-Level-Dependent Functional Magnetic Resonance Imaging and Electroencephalogram Vigilance Correlations by Falahpour, Maryam, Nalci, Alican, Liu, Thomas T

“…Global signal regression (GSR) is a commonly used although controversial preprocessing approach in the analysis of resting-state blood oxygenation…”
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Global signal regression acts as a temporal downweighting process in resting-state fMRI by Nalci, Alican, Rao, Bhaskar D., Liu, Thomas T.

“…In resting-state functional MRI (rsfMRI), the correlation between blood oxygenation level dependent (BOLD) signals across different brain regions is used to…”
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Nuisance effects in inter-scan functional connectivity estimates before and after nuisance regression by Nalci, Alican, Luo, Wenjing, Liu, Thomas T.

“…In resting-state functional MRI, the correlation between blood-oxygenation-level-dependent (BOLD) signals across brain regions is used to estimate the…”
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Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI by Nalci, Alican, Rao, Bhaskar D., Liu, Thomas T.

“…In resting-state fMRI, dynamic functional connectivity (DFC) measures are used to characterize temporal changes in the brain's intrinsic functional…”
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Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem by Nalci, Alican, Fedorov, Igor, Al-Shoukairi, Maher, Liu, Thomas T., Rao, Bhaskar D.

“…In this paper, we develop a Bayesian evidence maximization framework to solve the sparse non-negative least squares (S-NNLS) problem. We introduce a family of…”
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Rectified Sparse Bayesian Learning and Effects and Limitations of Nuisance Regression in Functional MRI by Nalci, Alican

“…This dissertation considers the problems of sparse signal recovery (SSR) and nuisance regression in functional MRI (fMRI). The first part of the dissertation…”
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A computer vision based candidate for functional balance test by Nalci, Alican, Khodamoradi, Alireza, Balkan, Ozgur, Nahab, Fatta, Garudadri, Harinath

“…Balance in humans is a motor skill based on complex multimodal sensing, processing and control. Ability to maintain balance in activities of daily living (ADL)…”
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A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem by Fedorov, Igor, Nalci, Alican, Giri, Ritwik, Rao, Bhaskar D, Nguyen, Truong Q, Garudadri, Harinath

“…We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide variety of applications where an unknown, non-negative…”
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Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem by Nalci, Alican, Fedorov, Igor, Al-Shoukairi, Maher, Liu, Thomas T, Rao, Bhaskar D

“…In this paper, we develop a Bayesian evidence maximization framework to solve the sparse non-negative least squares (S-NNLS) problem. We introduce a family of…”
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Study of finger force variability for physical therapists and untrained subjects by Khan, Kanza, Dingli Qin, Glaser, Daniela, Nalci, Alican, Printz, Catherine, McElroy, Carter, Cosman, Pamela

“…Physical therapy exercises often involve a patient exerting a force on an object. When a physical therapist shows a patient how much force to exert, the…”
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