in this paper we propose a new method for classification of subjects into schizophrenia and control groups using functional magnetic resonance imaging (fmri) data. in the preprocessing step, the number of fmri time points is reduced using principal component analysis (pca). then, independent component analysis (ica) is used for further data analysis. it estimates independent components (ics) of...

At the presentmoment, threemethods can record functional and physiological changes within the brain with high temporal resolution of neuronal interactions at the network level: the electroencephalogram (EEG), the magnetoencephalogram (MEG), and functional magnetic resonance imaging (fMRI); each of these has advantages and shortcomings. MEG is not practical for experimental work when subjects ma...

In the field of neuroscience, there has always been a need for imaging techniques that provide high-resolution, large field-of-view measurements of neural activity. Functional MRI has this capability, but the link between the blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) signal and neural activity is indirect. High magnetic field strengths (>3 T) improve ...

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...

To examine the nature of hemispheric lateralization for neural processes underlying verbal fluency and visuo-spatial attention, we investigated a single pair of handedness discordant monozygotic (MzHd) twins. Imaging of the brain was undertaken using magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) in combination with manual performance tasks. The twins were dis...

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.

This discussion highlights ethical and practical issues potential neuropsychologist-imagers should consider in conducting functional magnetic resonance imaging (fMRI). While fMRI is not currently approved for clinical use, research is ongoing which has implications for clinical practice, from refining brain-behavior relationships, to assisting with diagnosis and treatment decisions. To protect ...

Functional magnetic resonance image (fMRI) experiments rely on the ability to detect subtle signal changes in magnetic resonance image time series. Any areas of signal change that correlate with the neurological stimulus can then be identified and compared with a corresponding high-resolution anatomical scan. This report reviews some of the several artefacts that are frequently present in fMRI ...

Recent advances in functional magnetic resonance imaging (fMRI) have furnished increasingly informative and accurate maps of the retinotopy and functional organization in human visual cortex. Here we review how information in those sensory-based maps is topographically related to, and influenced by, more cognitive visuo-spatial dimensions, such as mental imagery, spatial attention, repetition e...