Life sciences.

  title={Life sciences.},
  author={Vince D. Calhoun},
  volume={490 7418},
F unctional magnetic resonance imaging (fMRI) is a noninvasive, powerful tool that has been utilized in both research and clinical arenas since the early 1990s [1] and has provided valuable insights to the understanding of the human brain function. fMRI has enabled researchers to directly study the temporal and spatial changes in the brain as a function of various stimuli. Because it relies on the detection of small intensity changes over time, fMRI poses significant challenges for data… 
On the importance of small changes in RNA expression.
The results showed a rapid entry of pentazocine into the brain ; peak concentrations in plasma and brain were obtained at 2 min and 10 min, respectively, after the i .p.
Regulatory effects of paraventricular nucleus injections of ghrelin on the hypothalamus-pituitary-thyroid axis via CB1 receptors in male rats
ACPA, ghrelin, and ACPA with gh Relin play inhibitory roles in the regulation of thyroid hormones in the PVN, while AM251 was able to stimulate thyroid hormone secretion.
Effects of Tyr-MIF-1 Family of Peptides on Endocannabinoid System after Immobilization Stress
Investigation of the effects on nociception of TyrMIF-1 peptides on the endocannabinoid system after immobilization stress showed that anandamide and AM251 were involved in the analgesic effects of Tyr-M IF- 1 peptides after immobilized SIA.
Health and Growth
The commission on growth and development was established in April 2006. It felt that the benefits of growth were not fully appreciated, but also recognized that the causes of growth were not fully
Spatial health and life sciences business ecosystem: a case study of San Diego
Purpose – Increasing competition in global markets requires many countries to seek new growth sectors. In addition, the nature of competition is changing. This paper applies the business ecosystem
Determining the mechanical properties of Rainbow Smelt (Osmerus mordax) eye tissue using atomic force microscopy (AFM)
The object of this work is to study the key structural and mechanical properties of sections of rainbow smelt eye using Atomic Force Microscopy to better understand the hyperosmotic conditioning that takes place within the eye.
BPA and Reproductive Health: Reviewing the Current State of the Science
  • J. Barrett
  • Medicine
    Environmental health perspectives
  • 2014
Strong evidence exists that BPA is an ovarian toxicant in both animals and humans and a uterine and prostate Toxicant in animals, and the authors recommend that future studies emphasize critical periods during development and use continuous BPA exposure measures and doses that better reflect actual human exposure.


Independent component analysis of fMRI data in the complex domain
In BOLD fMRI a series of MR images is acquired and examined for task‐related amplitude changes, and results from three complex analysis models are presented and compared with magnitude‐only results.
Analysis of fMRI data by blind separation into independent spatial components
This work decomposed eight fMRI data sets from 4 normal subjects performing Stroop color‐naming, the Brown and Peterson word/number task, and control tasks into spatially independent components, and found the ICA algorithm was superior to principal component analysis (PCA) in determining the spatial and temporal extent of task‐related activation.
Unmixing fMRI with independent component analysis
ICA has recently demonstrated considerable promise in characterizing functional magnetic resonance imaging data, primarily due to its intuitive nature and ability for flexible characterization of the brain function.
Sources of phase changes in BOLD and CBV‐weighted fMRI
The volume‐averaged magnetization and its demagnetization are the main sources of fMRI signal phase change and can be explained by the application of the “Lorentz sphere” theory in the presence of relevant activation‐induced changes in vessels.
Modeling and inference of multisubject fMRI data
Four commonly used approaches to group modeling in fMRI are reviewed and the importance of a mixed-effects model for group fMRI analysis is motivated.
Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging.
  • S. OgawaD. Tank K. Uğurbil
  • Biology
    Proceedings of the National Academy of Sciences of the United States of America
  • 1992
We report that visual stimulation produces an easily detectable (5-20%) transient increase in the intensity of water proton magnetic resonance signals in human primary visual cortex in gradient echo
Different activation dynamics in multiple neural systems during simulated driving
An imaging study of simulated driving reveals multiple neural systems, each of which have different activation dynamics, which are identified with fMRI and their modulation with speed is investigated.
A Practical Formulation for Computation of Complex Gradients and its Application to Maximum Likelihood ICA
  • T. AdalıHualiang Li
  • Computer Science
    2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
  • 2007
A framework for complex-valued signal processing such that all computations can be directly carried out in the complex domain is introduced and its application to derivation of relative gradient updates for independent component analysis using maximum likelihood is demonstrated.
Independent Component Analysis
The standardization of the IC model is talked about, and on the basis of n independent copies of x, the aim is to find an estimate of an unmixing matrix Γ such that Γx has independent components.
Adaptable Nonlinearity for Complex Maximization of Nongaussianity and a Fixed-Point Algorithm
  • M. NoveyT. Adalı
  • Computer Science
    2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing
  • 2006
A fixed-point algorithm for blind separation of noncircular sources using CMN is derived and the adaptive CMN (A-CMN) algorithm that provides significant performance improvement by adapting the nonlinearity to the source distribution is introduced.