Reduction of physiological noise with independent component analysis improves the detection of nociceptive responses with fMRI of the human spinal cord.

The evaluation of spinal cord neuronal activity in humans with functional magnetic resonance imaging (fMRI) is technically challenging. Major difficulties arise from cardiac and respiratory movement artifacts that constitute significant sources of noise. In this paper we assessed the Correction of Structured noise using spatial Independent Component Analysis (CORSICA). FMRI data of the cervical spinal cord were acquired in 14 healthy subjects using gradient-echo EPI. Nociceptive electrical stimuli were applied to the thumb. Additional data with short TR (250 ms, to prevent aliasing) were acquired to generate a spatial map of physiological noise derived from Independent Component Analysis (ICA). Physiological noise was subsequently removed from the long-TR data after selecting independent components based on the generated noise map. Stimulus-evoked responses were analyzed using the general linear model, with and without CORSICA and with a regressor generated from the cerebrospinal fluid region. Results showed higher sensitivity to detect stimulus-related activation in the targeted dorsal segment of the cord after CORSICA. Furthermore, fewer voxels showed stimulus-related signal changes in the CSF and outside the spinal region, suggesting an increase in specificity. ICA can be used to effectively reduce physiological noise in spinal cord fMRI time series.

Modified influenza virosomes: recent advances and potential in gene delivery.

Influenza virosomes have proven to be effective vehicles for the delivery of antigens in the vaccination of humans against a number of pathogens. However, their potential as a means for gene delivery has yet to be realized. Chemical modification of viruses is emerging as a new strategy for production of safe and efficient gene delivery systems. Influenza virosomes exhibit many of the features of the virus, such as for cell binding, uptake and endosomal escape, which can be easily engineered into designer delivery vehicles capable of safe, efficient and cell-specific cargo delivery. This review focuses on the next generation of influenza virosomes and highlights aspects of their modification that may lead to simple but effective gene delivery vehicles.