Introduction: Functional magnetic resonance imaging (fMRI) measures the hemodynamic response to neuronal activity, but more evidence is needed to understand how far the high-resolution fMRI response spreads relative to the evoked neuronal activity. The ...

Introduction: We previously used repetition suppression functional magnetic resonance imaging (fMRI) to show that representations for newly acquired motor sequences appear over time-scales that vary significantly from region to region. Here, we extend t...

Fusing functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) brain maps offers the potential for reconstructing neural networks with high spatial and temporal resolution. One approach for fusing the neuroimaging maps is to use fM...

Parkinson’s disease (PD) is a progressive neurodegenerative disorder, characterized primarily by motor symptoms. Recently, a number of studies have begun to show a resting-state functional magnetic resonance imaging (rsfMRI) may provide a useful biomark...

We investigated the effects of aging on brain activation in the auditory cortex and the frontal-parietal (FPN) and cingulo-opercular (CON) executive control networks during bimodal selective attention using functional magnetic resonance imaging (fMRI). ...

Identification of anatomical or structural abnormality in the brain MRI can lead to localization of epileptogenic zone and successful surgical treatment of drug resistant epilepsy. But often, such abnormalities are not easily detected. Analysis of MRI b...

Background: It is unclear how each subfield within the hippocampus (HC) contributes to memory function. Animal studies indicate positive correlations between HC neurogenesis and learning performance. However it is uncertain whether this association is d...

A 3D seeded region growing technique was applied to MRI images of the spinal cord in order to separate morphological features such as gray and white matter. This technique was implemented to overcome the problems in delineating boundaries between morphologic structures using standard clinical MRI scans (T1, T2, continuous slice) of the spinal cord. Traditional images are 256 levels of gray with no clear delineation between white matter and gray matter tracts. Threshold based segmentation techniques, which are typically used for the identification of morphologic boundaries, are not adequate for this problem due to the nature of the MRI images. Small pockets of supposed white matter appear in gray matter and vice versa. The 3D seeded region growing technique takes advantage of both inter-slice and intra-slice variations in gray level to segment gray and white matter and insure that the regions are contiguous. This eliminates the pockets that would occur if a simple threshold were used. Once segmented, the da...

Neuroimaging studies are accumulating fast. A significant number of these studies use functional magnetic resonance imaging (fMRI) and report stereotactic brain coordinates. In the last 15 years meta-analytic software tools have been developed to identi...

In the present study, we aimed to dissociate the neural correlates of two subprocesses involved in the preparatory period in the context of arbitrary, prelearned stimulus-response (S-R) associations, namely, S-R mapping and movement planning (MP). We teased apart these two subprocesses by comparing three tasks in which the complexity of both S-R mapping and MP were independently manipulated: simple reaction time (SRT) task, go/no-go reaction time (GNGRT) task, and choice reaction time (CRT) task. We found that a more complex S-R mapping, which is the common element differentiating CRT and GNGRT from SRT, was associated with higher brain activation in the left superior parietal lobe (SPL). Conversely, a greater number of planned finger movements, which is the common difference between CRT and both SRT and GNGRT, was associated with higher brain activation in a number of frontal areas, including the left supplementary motor area (SMA), left dorsal premotor cortex (dPM), and left anterior cingulate cortex (AC...