Background Physiological noise is one of the major confounds for fMRI. A common class of
correction methods model noise from peripheral measures, such as ECGs or pneumatic …

Recent improvements in the speed and sensitivity of fMRI acquisition techniques suggest
that fast fMRI can be used to detect and precisely localize sub-second neural dynamics. This …

The brainstem is directly involved in controlling blood pressure, respiration, sleep/wake
cycles, pain modulation, motor, and cardiac output. As such it is of significant basic science …

The sources of non-white noise in Blood Oxygenation Level Dependent (BOLD) functional
magnetic resonance imaging (fMRI) are many. Familiar sources include low-frequency drift …

Physiological fluctuations resulting from the heart beat and respiration are a dominant
source of noise in fMRI, particularly at high field strengths. Commonly used physiological …

Cognitive neuroimaging studies typically require fast whole brain image acquisition with
maximal sensitivity to small BOLD signal changes. To increase the sensitivity, higher field …

The ability to discriminate signal from noise plays a key role in the analysis and
interpretation of functional magnetic resonance imaging (fMRI) measures of brain activity …

Functional magnetic resonance imaging (fMRI) of the human spinal cord is a difficult
endeavour due to the cord's small cross-sectional diameter, signal drop-out as well as …

The spinal cord is the main pathway for information between the central and the peripheral
nervous systems. Non-invasive functional MRI offers the possibility of studying spinal cord …

In resting state fMRI, it is necessary to remove signal variance associated with noise
sources, leaving cleaned fMRI time-series that more accurately reflect the underlying …