Enhanced phase regression with savitzky-golay filtering for high-resolution BOLD fMRI
نویسندگان
چکیده
منابع مشابه
Preprocessing time series with ICA and savitzky-golay filtering
In this paper we summarize various possible techniques such as Crossover Prediction Model or the classical Principal Component Analysis (PCA) tool to include exogenous data. Furthermore we propose a new method for volatile time series forecasting using Independent Component Analysis (ICA) algorithms and Savitzky-Golay filtering as preprocessing tools. The preprocessed data will be introduce in ...
متن کاملHigh Resolution BOLD fMRI Using mHASTE
Introduction: Recently, a novel BOLD fMRI method based on a modified half Fourier single shot TSE technique, namely mHASTE, has been explored and discussed [1,2]. In comparison with the widespread EPI sequences (e.g. GEand SE-EPI), mHASTE offers artifactand distortion-free functional images, higher signal-to-noise ratio (SNR) and potentially better function specificity, while achieving comparab...
متن کاملfMRI at High Spatial Resolution: Implications for BOLD-Models
As high-resolution functional magnetic resonance imaging (fMRI) and fMRI of cortical layers become more widely used, the question how well high-resolution fMRI signals reflect the underlying neural processing, and how to interpret laminar fMRI data becomes more and more relevant. High-resolution fMRI has shown laminar differences in cerebral blood flow (CBF), volume (CBV), and neurovascular cou...
متن کاملProperties of Savitzky-Golay digital differentiators
The Savitzky–Golay (SG) filters are generally used for smoothing and differentiation in many fields. The properties of the SG smoothing filters have been well studied. However, the properties of the SG differentiation filters or SG digital differentiators (SGDD, for the first order differentiation) are not developed well somehow, although they have been widely used. In the paper, the properties...
متن کاملSavitzky-Golay smoothing and differentiation filter for even number data
The Savitzky–Golay smoothing and differentiation filter optimally fits a set of data points to a polynomial in the least-squares sense. The Savitzky–Golay filter has been developed and generalized well in the literatures. However, the data subset is subject to an odd number ð2m þ 1Þ: In this communication, the Savitzky–Golay filter is extended for even number data. Simulations are performed to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Human Brain Mapping
سال: 2014
ISSN: 1065-9471
DOI: 10.1002/hbm.22440