Introduction Physiological noise caused by ecgand/or breathing related pulsatility is known to have substantial influence on the BOLD signal [1,2]. Such effects may introduce temporal correlations that are unrelated to neuronal processes in a resting-state network analysis [3]. Various noise removal techniques have been proposed, including image-based estimation schemes [4,5] and methods that u...

Physiological noise arising from a variety of sources can significantly degrade the detection of task-related activity in BOLD-contrast fMRI experiments. If whole head spatial coverage is desired, effective suppression of oscillatory physiological noise from cardiac and respiratory fluctuations is quite difficult without external monitoring, since traditional EPI acquisition methods cannot samp...

Noise is omnipresent in biomedical systems and signals. Conventional views assume that its presence is detrimental to systems' performance and accuracy. Hence, various analytic approaches and instrumentation have been designed to remove noise. On the contrary, recent contributions have shown that noise can play a beneficial role in biomedical systems. The results of this literature review indic...

Previous studies have reported that the spontaneous, resting-state time course of the default-mode network is negatively correlated with that of the "task-positive network", a collection of regions commonly recruited in demanding cognitive tasks. However, all studies of negative correlations between the default-mode and task-positive networks have employed some form of normalization or regressi...

Functional MRI of the spinal cord is challenging due to the small cross section of the cord and high level of physiological noise. Though blood oxygenation level-dependent (BOLD) contrast has been used to study specific responses of the spinal cord to various stimuli, it has not been demonstrated using a controlled stimulus. In this paper, we use hypercapnic manipulation to study the sensitivit...

Introduction Myocardial blood flow (MBF) measurement in humans using arterial spin labeling (ASL) shows promise but has produced highly variable results [1-4]. One critical source of measurement errors is the physiological noise caused by static tissue mis-registration due to metabolic fluctuation, respiratory and cardiac motion, and other unknown variations over time [5]. Background suppressio...

Previous studies have reported low repeatability of BOLD activation measures during emotion processing tasks. It is not clear, however, whether low repeatability is a result of changes in the underlying neural signal over time, or due to insufficient reliability of the acquired BOLD signal caused by noise contamination. The aim of this study was to investigate the influence of "cleaning" the BO...

costs of chronic noise exposure for terrestrial organisms. Growth in transportation networks, resource extraction, motorized recreation and urban development is responsible for chronic noise exposure in most terrestrial areas, including remote wilderness sites. Increased noise levels reduce the distance and area over which acoustic signals can be perceived by animals. Here, we review a broad ra...

Physiological noise artifacts, especially those originating from cardiac pulsation and subject motion, are common in clinical Diffusion tensor-MRI acquisitions. Previous works show that signal perturbations produced by artifacts can be severe and neglecting to account for their contribution can result in erroneous diffusion tensor values. The Robust Estimation of Tensors by Outlier Rejection (R...

Fishes are often exposed to environmental sounds such as those associated with shipping, seismic experiments, sonar and/or aquaculture pump systems. While efforts have been made to document the effects of such anthropogenic (human-generated) sounds on marine mammals, the effects of excess noise on fishes are poorly understood. We examined the short- and long-term effects of increased ambient so...