Scale-free and multifractal time dynamics of fMRI signals during rest and task
Scaling temporal dynamics in functional MRI (fMRI) signals have been evidenced for a
decade as intrinsic characteristics of ongoing brain activity (Zarahn et al.,). Recently, scaling …
decade as intrinsic characteristics of ongoing brain activity (Zarahn et al.,). Recently, scaling …
[图书][B] Handbook of neuroimaging data analysis
This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …
neuroimaging data. It examines the development of novel statistical approaches to model …
A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging
L Chaâri, JC Pesquet, A Benazza-Benyahia… - Medical image …, 2011 - Elsevier
To reduce scanning time and/or improve spatial/temporal resolution in some Magnetic
Resonance Imaging (MRI) applications, parallel MRI acquisition techniques with multiple …
Resonance Imaging (MRI) applications, parallel MRI acquisition techniques with multiple …
Spatially adaptive mixture modeling for analysis of fMRI time series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain
regions eliciting evoked activity and the estimation of the underlying dynamics. In Makni …
regions eliciting evoked activity and the estimation of the underlying dynamics. In Makni …
A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI
Within-subject analysis in fMRI essentially addresses two problems, ie, the detection of
activated brain regions in response to an experimental task and the estimation of the …
activated brain regions in response to an experimental task and the estimation of the …
Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach
In standard within-subject analyses of event-related functional magnetic resonance imaging
(fMRI) data, two steps are usually performed separately: detection of brain activity and …
(fMRI) data, two steps are usually performed separately: detection of brain activity and …
Activelets: Wavelets for sparse representation of hemodynamic responses
We propose a new framework to extract the activity-related component in the BOLD
functional magnetic resonance imaging (fMRI) signal. As opposed to traditional fMRI signal …
functional magnetic resonance imaging (fMRI) signal. As opposed to traditional fMRI signal …
Data-driven HRF estimation for encoding and decoding models
Despite the common usage of a canonical, data-independent, hemodynamic response
function (HRF), it is known that the shape of the HRF varies across brain regions and …
function (HRF), it is known that the shape of the HRF varies across brain regions and …
Group-level impacts of within-and between-subject hemodynamic variability in fMRI
Inter-subject fMRI analyses have specific issues regarding the reliability of the results
concerning both the detection of brain activation patterns and the estimation of the …
concerning both the detection of brain activation patterns and the estimation of the …
A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data
Summary Functional Magnetic Resonance Imaging (fMRI) is a primary modality for studying
brain activity. Modeling spatial dependence of imaging data at different spatial scales is one …
brain activity. Modeling spatial dependence of imaging data at different spatial scales is one …