Functional magnetic resonance imaging (fMRI) research with infants and toddlers has increased rapidly over the past decade, and provided a unique window into early brain development. In the current report, we review the state of the literature, which has established the feasibility and utility of task-based fMRI and resting state functional connectivity MRI (rs-fcMRI) during early periods of br...

Functional magnetic resonance imaging (fMRI) is a powerful technique for measuring brain activity associated with the performance of different mental tasks. We briefly describe this technique and the images it produces and review methods of analysis that have been applied to fMRI data. Throughout the paper, we illustrate various points on an fMRI dataset.

Functional magnetic resonance imaging (fMRI) investigations of a longitudinal nature, where participants are scanned repeatedly over time and imaging data are obtained at more than one time-point, are essential to understanding functional changes and development in healthy and pathological brains. The main objective of this paper is to provide a brief summary of common longitudinal analysis app...

The objective of the study was to introduce the availability of bold imaging facility at Aga Khan University Hospital Karachi for the first time in Pakistan and also to review the practical application and advantages of functional magnetic resonance imaging (fMRI) and blood oxygen level dependant (BOLD) Imaging Procedures. The study was conducted at Aga Khan University Hospital, Karachi from Au...

We studied developmental plasticity using functional magnetic resonance imaging (fMRI) in a preterm infant with brain injury on structural MRI. fMRI showed preserved brain function and subsequent neurodevelopment was within the normal range. Multimodal neuroimaging including fMRI can improve understanding of neural plasticity after preterm birth and brain injury.

Functional magnetic resonance imaging (fMRI) enables identification of the brain regions and networks underpinning cognitive tasks. It has potential to significantly advance design science, but is challenging apply in studies methodological guidance for researchers lacking. In this Research Note, we reflect on our experiences other work outline activities involved developing executing fMRI stud...

The complexity of the human brain gives illusion that activity is intrinsically high-dimensional. Nonlinear dimensionality-reduction methods such as uniform manifold approximation and t-distributed stochastic neighbor embedding have been used for high-throughput biomedical data. However, they not extensively data those from functional magnetic resonance imaging (fMRI), primarily due to their in...