In vivo micro-circulation measurement in skeletal muscle by intra-vital microscopy

BACKGROUND: Regulatory factors and detailed physiology of in vivo microcirculation have remained not fully clarified after many different modalities of imaging had invented. While many macroscopic parameters of blood flow reflect flow velocity, changes in blood flow velocity and red blood cell (RBC) flux does not hold linear relationship in the microscopic observations. There are reports of discrepancy between RBC velocity and RBC flux, RBC flux and plasma flow volume, and of spatial and temporal heterogeneity of flow regulation in the peripheral tissues in microscopic observations, a scientific basis for the requirement of more detailed studies in microcirculatory regulation using intravital microscopy. METHODS: We modified Jeff Lichtman''s method of in vivo microscopic observation of mouse sternomastoid muscles. Mice are anesthetized, ventilated, and injected with PKH26L-fluorescently labeled RBCs for microscopic observation.RESULT & CONCLUSIONS: Fluorescently labeled RBCs are detected and distinguished well by a wide-field microscope. Muscle contraction evoked by electrical stimulation induced increase in RBC flux. Quantification of other parameters including RBC velocity and capillary density were feasible. Mice tolerated well the surgery, injection of stained RBCs, microscopic observation, and electrical stimulation. No muscle or blood vessel damage was observed, suggesting that our method is relatively less invasive and suited for long-term observations.Download video file.^{(92M, mpg)}     

Observers exploit stochastic models of sensory change to help judge the passage of time

Sensory stimulation can systematically bias the perceived passage of time, but why and how this happens is mysterious. In this report, we provide evidence that such biases may ultimately derive from an innate and adaptive use of stochastically evolving dynamic stimuli to help refine estimates derived from internal timekeeping mechanisms. A simplified statistical model based on probabilistic expectations of stimulus change derived from the second-order temporal statistics of the natural environment makes three predictions. First, random noise-like stimuli whose statistics violate natural expectations should induce timing bias. Second, a previously unexplored obverse of this effect is that similar noise stimuli with natural statistics should reduce the variability of timing estimates. Finally, this reduction in variability should scale with the interval being timed, so as to preserve the overall Weber law of interval timing. All three predictions are borne out experimentally. Thus, in the context of our novel theoretical framework, these results suggest that observers routinely rely on sensory input to augment their sense of the passage of time, through a process of Bayesian inference based on expectations of change in the natural environment.     

Functional evidence for a dual route to amygdala

The amygdala plays a central role in evaluating the behavioral importance of sensory information. Anatomical subcortical pathways provide direct input to the amygdala from early sensory systems and may support an adaptively valuable rapid appraisal of salient information. However, the functional significance of these subcortical inputs remains controversial. We recorded magnetoencephalographic activity evoked by tones in the context of emotionally valent faces and tested two competing biologically motivated dynamic causal models against these data: the dual and cortical models. The dual model comprised two parallel (cortical and subcortical) routes to the amygdala, whereas the cortical model excluded the subcortical path. We found that neuronal responses elicited by salient information were better explained when a subcortical pathway was included. In keeping with its putative functional role of rapid stimulus appraisal, the subcortical pathway was most important early in stimulus processing. However, as often assumed, its action was not limited to the context of fear, pointing to a more widespread information processing role. Thus, our data supports the idea that an expedited evaluation of sensory input is best explained by an architecture that involves a subcortical path to the amygdala.     

Detailed mtDNA genotypes permit a reassessment of the settlement and population structure of the Andaman Islands

The population genetics of the Indian subcontinent is central to understanding early human prehistory due to its strategic location on the proposed corridor of human movement from Africa to Australia during the late Pleistocene. Previous genetic research using mtDNA has emphasized the relative isolation of the late Pleistocene colonizers, and the physically isolated Andaman Island populations of Island South-East Asia remain the source of claims supporting an early split between the populations that formed the patchy settlement pattern along the coast of the Indian Ocean. Using whole-genome sequencing, combined with multiplexed SNP typing, this study investigates the deep structure of mtDNA haplogroups M31 and M32 in India and the Andaman Islands. The identification of a so far unnoticed rare polymorphism shared between these two lineages suggests that they are actually sister groups within a single haplogroup, M31'32. The enhanced resolution of M31 allows for the inference of a more recent colonization of the Andaman Islands than previously suggested, but cannot reject the very early peopling scenario. We further demonstrate a widespread overlap of mtDNA and cultural markers between the two major language groups of the Andaman archipelago. Given the "completeness" of the genealogy based on whole genome sequences, and the multiple scenarios for the peopling of the Andaman Islands sustained by this inferred genealogy, our study hints that further mtDNA based phylogeographic studies are unlikely to unequivocally support any one of these possibilities.     

Glossina dynamics in and around the sleeping sickness endemic Serengeti ecosystem of northwestern Tanzania

We investigated the dynamics of Glossina spp. and their role in the transmission of trypanosomiasis in the sleeping sickness endemic Serengeti ecosystem, northwestern Tanzania. The study investigated Glossina species composition, trap density, trypanosome infection rates, and the diversity of trypanosomes infecting the species. Tsetse were trapped using monopyramidal traps in the mornings between 06:00 to 11:00 and transported to the veterinary laboratory in Serengeti National Park where they were sorted into species and sex, and dissected microscopically to determine trypanosome infection rates. Age estimation of dissected flies was also conducted concurrently. Tsetse samples positive for trypanosomes were subjected to PCR to determine the identity of the detected trypanosomes. Out of 2,519 tsetse trapped, 1,522 (60.42%) were G. swynnertoni, 993 (39.42%) were G. pallidipes, three (0.12%) were G. m. morsitans, and one (0.04%) was G. brevipalpis. The trap density for G. swynnertoni was between 1.40 and 14.17 while that of G. pallidipes was between 0.23 and 9.70. Out of 677 dissected G. swynnertoni, 63 flies (9.3%) were infected, of which 62 (98.4%) were females. A total of 199 G. pallidipes was also dissected but none was infected. There was no significant difference between the apparent densities of G. swynnertoni compared to that of G. pallidipes (t = 1.42, p = 0.18). Molecular characterization of the 63 infected G. swynnertoni midguts showed that 19 (30.2%) were trypanosomes associated with suid animals while nine (14.3%) were trypanosomes associated with bovid animals and five samples (7.9%) had T. brucei s.l genomic DNA. Thirty (47.6%) tsetse samples could not be identified. Subsequent PCR to differentiate between T. b. brucei and T. b. rhodesiense showed that all five samples that contained the T. brucei s.l genomic DNA were positive for the SRA molecular marker indicating that they were T. b. rhodesiense. These results indicate that G. swynnertoni plays a major role in the transmission of trypaniosomiasis in the area and that deliberate and sustainable control measures should be initiated and scaled up.     

A Structured Model of Video Reproduces Primary Visual Cortical Organisation

The visual system must learn to infer the presence of objects and features in the world from the images it encounters, and as such it must, either implicitly or explicitly, model the way these elements interact to create the image. Do the response properties of cells in the mammalian visual system reflect this constraint? To address this question, we constructed a probabilistic model in which the identity and attributes of simple visual elements were represented explicitly and learnt the parameters of this model from unparsed, natural video sequences. After learning, the behaviour and grouping of variables in the probabilistic model corresponded closely to functional and anatomical properties of simple and complex cells in the primary visual cortex (V1). In particular, feature identity variables were activated in a way that resembled the activity of complex cells, while feature attribute variables responded much like simple cells. Furthermore, the grouping of the attributes within the model closely parallelled the reported anatomical grouping of simple cells in cat V1. Thus, this generative model makes explicit an interpretation of complex and simple cells as elements in the segmentation of a visual scene into basic independent features, along with a parametrisation of their moment-by-moment appearances. We speculate that such a segmentation may form the initial stage of a hierarchical system that progressively separates the identity and appearance of more articulated visual elements, culminating in view-invariant object recognition.