Iterative Dual-Regression with Sparse Prior to Estimate Individual Neuronal Activations from Group Functional Magnetic Resonance Imaging (fMRI) Data
نویسندگان
چکیده
An iterative dual-regression (DR) with a sparse prior was proposed to estimate individual neuronal activations from an ICA application to a group functional magnetic resonance imaging (fMRI) data. Compared to an original DR with two steps of least-squares to estimate both spatial and temporal patterns, our approach showed enhanced true positive rates while reducing false positive rates across all individual results as quantitatively evaluated using semi-artificial fMRI data. Keywords― Independent component analysis, ICA, Group ICA, Dual Regression, Alternating LeastSquares, Sparse Prior
منابع مشابه
Using functional magnetic resonance imaging (fMRI) to explore brain function: cortical representations of language critical areas
Pre-operative determination of the dominant hemisphere for speech and speech associated sensory and motor regions has been of great interest for the neurological surgeons. This dilemma has been of at most importance, but difficult to achieve, requiring either invasive (Wada test) or non-invasive methods (Brain Mapping). In the present study we have employed functional Magnetic Resonance Imaging...
متن کاملUsing functional magnetic resonance imaging (fMRI) to explore brain function: cortical representations of language critical areas
Pre-operative determination of the dominant hemisphere for speech and speech associated sensory and motor regions has been of great interest for the neurological surgeons. This dilemma has been of at most importance, but difficult to achieve, requiring either invasive (Wada test) or non-invasive methods (Brain Mapping). In the present study we have employed functional Magnetic Resonance Imaging...
متن کاملDiscovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD)
Functional magnetic resonance imaging (fMRI) has become increasingly used for studying functional integration of the brain. However, the large inter-subject variability in functional connectivity renders detection of representative group networks very difficult. In this paper, we propose a new iterative method that we refer to as "group replicator dynamics," for detecting sparse functional netw...
متن کاملSoftware Tools for the Analysis of Functional Magnetic Resonance Imaging
Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging of brain functions. Currently, there is a large variety of software packages for the analysis of fMRI data, each providing many features for users. Since there is no single package that can provide all the necessary analyses for the fMRI data, it is helpful to know the features of each software package. ...
متن کاملRepeatability of Detecting Visual Cortex Activity in Functional Magnetic Resonance Imaging
Introduction As functional magnetic resonance imaging (fMRI) is too expensive and time consuming, its frequent implementation is difficult. The aim of this study is to evaluate repeatability of detecting visual cortex activity in fMRI. Materials and Methods In this study, 15 normal volunteers (10 female, 5 male; Mean age±SD: 24.7±3.8 years) attended. Functional magnetic resonance images were ob...
متن کامل