Principal Component Regression Approach for Functional Connectivity of Neuronal Activations Measured by Functional MRI
نویسندگان
چکیده
A principal component regression (PCR) based approach for studying the functional connectivity of blood oxygenation level dependent (BOLD) responses of functional magnetic resonance imaging (fMRI) is proposed. The temporal dependency of BOLD responses from different spatial areas is determined from the eigenvectors of the correlation matrix.
منابع مشابه
On convergence of sample and population Hilbertian functional principal components
In this article we consider the sequences of sample and population covariance operators for a sequence of arrays of Hilbertian random elements. Then under the assumptions that sequences of the covariance operators norm are uniformly bounded and the sequences of the principal component scores are uniformly sumable, we prove that the convergence of the sequences of covariance operators would impl...
متن کاملIterative Dual-Regression with Sparse Prior to Estimate Individual Neuronal Activations from Group Functional Magnetic Resonance Imaging (fMRI) Data
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 a...
متن کاملResting-state Functional Connectivity During Controlled Respiratory Cycles Using Functional Magnetic Resonance Imaging
Introduction: This study aimed to assess the effect of controlled mouth breathing during the resting state using functional magnetic resonance imaging (fMRI). Methods: Eleven subjects participated in this experiment in which the controlled “Nose” and “Mouth” breathings of 6 s respiratory cycle were performed with a visual cue at 3T MRI. Voxel-wise seed-to-voxel maps and whole-brain region of i...
متن کاملBrain Functional Connectivity Changes During Learning of Time Discrimination
The human brain is a complex system consist of connected nerve cells that adapts with and learn from the environment by changing its regional activities. Synchrony between these regional activities called functional network changes during the life, and with learning of new skills. Time perception and interval discrimination are among the most necessary skills for the human being to perceive mot...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005