Postural laterality in Iberian ibex Capra pyrenaica: Effects of age,sex and nursing suggest stress and social information

Most studies of lateralized behaviour have to date focused on active behaviour such as sensorial perception and locomotion and little is known about lateralized postures, such as lying, that can potentially magnify the effectiveness of lateralized perception and reaction. Moreover, the relative importance of factors such as sex, age and the stress associated with social status in laterality is now a subject of increasing interest. In this study, we assess the importance of sex, age and reproductive investment in females in lying laterality in the Iberian ibex (Capra pyrenaica). Using generalized additive models under an information-theoretic approach based on the Akaike information criterion, we analyzed lying laterality of 78 individually marked ibexes. Sex, age and nursing appeared as key factors associated, in interaction and non-linearly, with lying laterality. Beyond the benefits of studying laterality with non-linear models, our results highlight the fact that a combination of static factors such as sex, and dynamic factors such as age and stress associated with parental care, are associated with postural laterality.     

Soft spots and their structural signature in a metallic glass

In a 3D model mimicking realistic Cu₆₄Zr₃₆ metallic glass, we uncovered a direct link between the quasi-localized low-frequency vibrational modes and the local atomic packing structure. We also demonstrate that quasi-localized soft modes correlate strongly with fertile sites for shear transformations: geometrically unfavored motifs constitute the most flexible local environments that encourage soft modes and high propensity for shear transformations, whereas local configurations preferred in this alloy, i.e., the full icosahedra (around Cu) and Z16 Kasper polyhedra (around Zr), contribute the least.Metallic glasses (MGs) have an inherently inhomogeneous internal structure, with a wide spectrum of atomic-packing heterogeneities (1–4). As a result, an a priori identification of structural defects that carry atomic rearrangements (strains) under imposed stimuli such as temperature and externally applied stresses has always been a major challenge (3–6). In several quasi-2D or 3D models of amorphous solids (such as jammed packings of soft spheres interacting via repulsive potentials or colloidal particles), low-frequency vibrational normal modes have been characterized, and it has recently been demonstrated that some of these modes are quasi-localized (7–14). A population of “soft spots” has been identified among them in terms of their low-energy barriers for local rearrangements (13, 14), correlating also with properties in supercooled liquids such as dynamic heterogeneity (15–17). However, it is not certain where the soft spots are in realistic MGs (18), in terms of an explicit correlation with local atomic packing and topological arrangements (18–20). In particular, there is a pressing need to determine whether it is possible to identify shear transformation zones, i.e., the local defects that carry inelastic deformation (21, 22). Accomplishing this would permit the characterization of MG microstructure in a way that directly ties atomic configuration with mechanical response beyond the elastic regime. We will show here that there is indeed a correlation between soft modes and atoms that undergo shear transformations, and both have their structural signature in specific atomic packing environments defined in terms of coordination polyhedra (3).Fig. 1 displays the vibrational density of states (V-DOS), D(ω), calculated from the eigen-frequencies obtained by normal mode analysis of the Cu₆₄Zr₃₆MG prepared with a cooling rate of 10⁹ K/s (Methods). The main peak stays around 14 meV and becomes only slightly narrower (or wider) when the cooling rate used to prepare the MG is slower (or faster), as seen in Fig. S1; the glasses cooled at slower rates exhibit fewer low-frequency (or low-energy) vibrational modes. The blue portion in Fig. 1 indicates the 1% lowest-frequency normal modes, which will be summed over in our calculations of the participation fraction, P_i, in soft modes (Methods). Those low-frequency vibrational modes are confirmed to be quasi-localized, similar to previous work on 2D models (15), as they involve a compact group of atoms on the basis of the amplitude distribution of their corresponding eigenvectors (also see the contour maps in Fig. 4).Open in a separate windowFig. 1.V-DOS of the inherent structure for Cu₆₄Zr₃₆ MG produced with the cooling rate of 10⁹ K/s. The blue portion indicates the 1% lowest frequency normal modes that were summed over to calculate the participation fraction (in soft modes) of atoms.Open in a separate windowFig. 4.Contoured maps showing the spatial distribution of participation fraction P_i (see sidebar) for Cu and Zr atoms in the Cu₆₄Zr₃₆ metallic glass with the cooling rate of 10⁹ K/s. The four sampled representative thin slabs (A–D) each has a thickness of 2.5 Å. White spots superimposed in the maps mark the locations of atoms that have experienced clear shear transformations (Methods) under AQS to a strain of 5%.We first demonstrate that certain types of coordination polyhedra, specifically those geometrically unfavored motifs (GUMs), contribute preferentially to the quasi-localized soft modes identified above, whereas the geometrically preferable clusters at this alloy composition represent the short-range order that participate the least. To establish the connection between the low-frequency modes and atomic packing structure, we analyze the latter first from the perspective of Cu-centered coordination polyhedra (23), in terms of the P_i of Cu atoms that are in the center of different types of polyhedra. In Fig. 2A, from left to right, each solid bar represents a bin that contains 10% of all of the Cu atoms, in ascending order from the lowest to the highest P_i. In addition, the 1% Cu atoms with the lowest P_i and the top 1% with the highest P_i are displayed on either end, each with a separate bar. The Cu atoms in full icosahedra (with Voronoi index <0, 0, 12, 0>) dominate the lowest P_i, which is consistent with the notion that full icosahedra are the short-range order most energetically and geometrically comfortable and hence least likely to participate in soft spots at this MG composition (23). Specifically, ∼98% of the Cu atoms with the 1% lowest participation fraction are enclosed in <0, 0, 12, 0>, which is much greater than the average value that ∼40% of Cu atoms center full icosahedra in this MG sample (23). In stark contrast, the local configurations on the other end of the coordination polyhedra spectrum, i.e., the GUMs (see examples below) that deviate considerably from the coordination number (CN) = 12 full icosahedra and their close cousins (Fig. 2), are not found at all among the atoms with the lowest 1% participation fraction. For the 1% of Cu atoms with the highest participation fraction, GUMs account for as high as 63%, whereas the share of full icosahedra is as low as only 1.1%. This observation clearly indicates that atoms involved with soft spots in low-frequency normal modes (i.e., soft modes) are those with the most unfavorable local coordination polyhedra.Open in a separate windowFig. 2.Atoms at the center of different types of (A) Cu-centered and (B) Zr-centered coordination polyhedra contribute differently to low-frequency normal modes. Each solid bar contains 10% of all of the Cu (or Zr) atoms; from left to right, the bins are ordered from the lowest to the highest participation fraction. Two additional bars describe the makeup of atoms contributing to the lowest 1% participation fraction and the highest 1% participation fraction, respectively. The latter is seen to be dominated by Cu (or Zr) atoms in GUMs.We also examined the dependence on local environments for Zr atoms. A plot analogous to Fig. 2A, this time for Zr-centered coordination polyhedra, is shown in Fig. 2B. From left to right, each solid bar represents a bin that contains 10% of all of the Zr atoms, in ascending order from the lowest to the highest P_i. In addition, the 1% Zr atoms with the lowest P_i and the top 1% with the highest P_i are displayed on either end, each with a separate bar. The most favorable Zr-centered Kasper polyhedra in this MG are of the Z16 type (<0, 0, 12, 4>) (23). Interestingly, for the Zr atoms with the 1% lowest participation fraction, ∼75% of them are enclosed in <0, 0, 12, 4>, which is much greater than the sample average of ∼17% in this MG (23). In contrast, GUMs that deviate considerably from the CN = 16 Kasper polyhedra and their close cousins (Fig. 2) only constitute ∼5%. Conversely, for the 1% of Zr atoms with the highest participation fraction, GUMs account for as high as 76%, whereas the share of Z16 clusters is as low as 1.6%.We now illustrate the GUMs, i.e., the typical types of coordination polyhedra that are strongly correlated with the soft modes. Fig. 3 A and B illustrates the local environments of the top five Cu atoms and Zr atoms, respectively, i.e., those with the highest participation fractions. For these five Cu-centered GUMs, the coordination polyhedra have Voronoi indices of <0, 0, 12, 2>, <0, 4, 4, 4>, <0, 6, 0, 6>, <0, 4, 4, 3>, and <0, 3, 6, 2>. For the five Zr GUMs, they are <1, 3, 4, 4>, <1, 2, 6, 5>, <0, 2, 9, 4>, <0, 3, 7, 4>, and <0, 4, 5, 6>. Clearly, they are among the polyhedra that deviate most significantly from the geometrically preferable Frank-Kasper polyhedra <0, 0, 12, 0> (for Cu) and <0, 0, 12, 4> (for Zr). Specifically, they are non-Kasper polyhedra and contain an increased density of extrinsic (e.g., fourfold) disclinations (3) at the favored CN, or clusters (including Kasper polyhedra) with unfavorable (too large or too small) CNs. In fact, those Zr-centered GUMs even contain sevenfold bonds, e.g., <1, 3, 4, 4> is actually <1, 3, 4, 4, 1> (except for these Zr-centered GUMs, the fifth digit is zero in the Voronoi indices for all the other coordination polyhedra in this work). From the perspective of either constituent element, Cu or Zr, these are the most geometrically unfavored clusters at the given alloy composition and atomic size ratio. According to ref. 24, transverse vibrational modes associated with defective (more disordered) soft structures could also be an origin of the boson peak [the excess rise in the D(ω) at low-frequency vibrational modes].Open in a separate windowFig. 3.Configurations of five different (A) Cu-centered and (B) Zr-centered polyhedra, in which the center atoms are the top five atoms with the highest participation fractions for each constituent species. These are representatives of GUMs in this MG. Orange spheres are for Cu atoms and silver ones for Zr atoms.The next task at hand is to correlate the relaxation events with vibrational modes. In a 2D sheared model glass, Manning et al. (14) recently associated low-frequency vibrational modes with soft spots where particle rearrangements are initiated. Here we use a similar analysis on our 3D realistic Cu₆₄Zr₃₆ glass. The contoured maps of participation fraction P_i for all of the (Cu and Zr) atoms inside four representative slabs, each with a thickness of 2.5 Å (roughly the average atomic spacing), are plotted in Fig. 4 A–D. We notice that the P_i distributions are heterogeneous: atoms that participated the most in soft modes tend to aggregate together, with a typical correlation length of ∼1 nm. For a direct comparison, the local atomic rearrangements in sheared Cu₆₄Zr₃₆ MG [under athermal quasi-static shear (AQS) to a global shear strain γ = 5%, well before global yielding/flow of the entire sample at γ ∼ 12%] are superimposed in Fig. 4 A–D, where white spheres represent the (Cu or Zr) atoms that have experienced the most obvious shear transformations (indicated by their large and simultaneous jumps of Dmin2 that are clearly above other atoms; Methods, Fig. S2, and SI Text). The distribution of these atoms is also inhomogeneous and, interestingly, almost always overlaps with the regions with high P_i. This observation is consistent with the correlation between quasi-localized low-frequency modes and low energy barriers (13). Fig. 5 displays the locations of all such Cu and Zr atoms in the simulation model, which are about 2% of the total number of atoms in the box. Two features are highly noteworthy. First, they cluster into patches (only 6 atoms are exceptions, being isolated in a group of <3 atoms), each comprising 10–40 atoms (Cu in orange and Zr in gray color). Second, the atoms in each cluster record a simultaneous jump in Dmin2. Taken together, the spatial and temporal correlations clearly indicate that these are the clusters of atoms that each has been through a well-defined shear transformation. The several representative cases in Fig. 4 (and Fig. S3) give a visual illustration of the correlation that, under imposed deformation, the most obvious shear transformations have a strong tendency to arise from the collection of atoms involved in soft modes. Each group (cluster) of the activated atoms in Fig. 5 centers a shear transformation zone.Open in a separate windowFig. 5.Cluster of atoms that have undergone obvious shear transformations (Methods) (24) in Cu₆₄Zr₃₆ MG sheared to γ = 5%. Atoms in each cluster are activated at the same time, as indicated by their simultaneous jump in ΔDmin2 at the same shear strain γ. Two such shear transformation zones are circled, with the Inset displaying the overlapping ΔDmin2 jumps of the atoms involved in each cluster.Note here that not all of the regions with the highest participation fraction P_i would undergo shear transformation for a particular loading condition, as seen in Fig. 4 and Fig. S3. One should keep in mind that such a local structure–property correlation in an amorphous system is expected to be statistical (better perceived in Fig. 6), rather than deterministic with a one-to-one correspondence (12, 14). The soft spots are only candidates for potential shear transformation zones. The ones actually activated are not necessarily the softest, and would be determined by the loading direction and local stress field interacting with the anisotropy of the soft spots. The statistical correlation is obvious for the entire range of imposed γ, from 2% to 10%. The contour maps similar to those in Fig. 4 for γ = 10% (before global yielding) are shown in Fig. S3. As another way to see this correlation, we present in Fig. 6 a plot correlating the average participation fraction with Dmin2 (with respect to the undeformed configuration) for γ from 2% to 10%. Each data point is an average for 5% of all of the atoms inside a bin (each bin contains atoms grouped in ascending participation fraction). Obviously, the atoms with higher participation in soft mode contribute more to the nonaffine deformation and therefore shear transformations. This trend persists throughout the entire range of strains we studied and is therefore statistically valid for all the atoms in the metallic glass.Open in a separate windowFig. 6.Correlation between the average Dmin2 (with reference to undeformed configuration) with participation fraction P_i for all of the (Cu and Zr) atoms in the Cu₆₄Zr₃₆ MG deformed to different γ levels (2–10%). Each data point is the average for 5% of all of the atoms, sorted in the order of increasing P_i.In conclusion, we identified soft spots in an MG. They are soft in the sense that the atoms (Cu and Zr in our case) in those local environments participate preferentially in soft vibrational modes and at the same time they have the highest propensity to undergo shear transformations. These two aspects are found to be strongly correlated: shear transformations in an MG preferentially occur at localized soft modes. In the language of the potential energy landscape, we established a correlation between the curvature at the bottom of the basin (stiffness) with the barrier for transitions between basins (energy barrier against reconfiguration). Importantly, we showed that both have a common signature in the local atomic packing environments: the GUMs are the local configurations most prone to instability. The GUMs, as the most disordered atomic arrangements, hence tend to constitute or center the “liquid-like regions” often hypothesized in the literature (4, 5, 25). They tend to be soft and fertile for shear transformations. Such a correlation, albeit statistical (not all soft modes or GUMs would be activated to undergo shear transformations for a given stress state/magnitude and loading duration), is very useful and important as a step forward in establishing a concrete structure–property relationship for MGs, i.e., a direct connection between short-range order and vibrational soft modes, as well as stress-induced atomic rearrangements. The spatial distribution of nanometer-scale patches observed in Fig. 4 and Fig. S3 (a 3D view from outside the MD box is in Fig. S4), in terms of property (soft spots) and corresponding structure (GUMs), may also help explain the origin of the heterogeneity in local elastic modulus and local viscoelasticity recently mapped out in experiments (26–28).     

Suture formation,premature sutural fusion,and suture default zones in Apert syndrome

On the basis of our studies, we postulate that suture formation in Apert syndrome is related to the relative maturity of abutting calvarial bones. The fused coronal suture, a consistent manifestation at birth, develops first because the ossification centers of the frontal and parietal bones are in intimate contact early during intrauterine life. Calvarial immaturity and the megalencephalic brain characteristic of the Apert syndrome appear to work in concert to produce a widely patent midline calvarial defect extending from the glabella to the posterior fontanelle. Because sagittal growth in the coronal sutures cannot take place, the megalencephalic brain grows upward and laterally, and bulges forward through the midline defect. The defect fills in by coalescence of bony islands without proper suture formation because the gap to be bridged is so great that the time window for developing sutural interdigitations may have closed. Other sutures, such as the lambdoid, squamosal, and sphenotemporal, develop with normal interdigitations because abutting bone margins are in close enough proximity to permit suture formation. © 1996 Wiley-Liss, Inc.     

Activity-related features of synapse morphology: A study of endbulbs of Held

The myelinated fibers of the auditory nerve can be divided into two separate populations on the basis of sensitivity to sound, average levels of spike activity, and central branching patterns. The synaptic endings of these populations were investigated for the presence of structural specializations that might correlate with levels of neural activity. We applied intracellular recording and staining methods in cats to analyze directly the relationship between spike activity and the structure of synapses using endbulbs of Held, the large synaptic endings in the anteroventral cochlear nucleus. Endbulbs from fibers having low or high levels of activity were examined and compared using light and electron microscopic methods. All endbulbs exhibited relatively large but incomplete coverage by one-to-several lamellae of glial processes. Endbulbs of high activity fibers were large and contained larger mitochondria than endbulbs of low activity fibers. Furthermore, the synapses of high activity endbulbs were on average smaller but more numerous, possessed greater numbers of associated synaptic vesicles, and exhibited greater curvature of their postsynaptic densities. These structural features are hypothesized to reflect specializations that optimize synaptic transmission. © 1996 Wiley-Liss, Inc.     

Confirmation of Two Magnetoencephalographic Epileptic Foci by Invasive Monitoring from Subdural Electrodes in an Adolescent with Right Frontocentral Epilepsy

PURPOSE: To report our evaluation of interictal two epileptic spike fields on magnetoencephalography (MEG) by using invasive intracranial monitoring in a patient without lesion on magnetic resonance imaging (MRI). METHODS: A 15-year-old left-handed boy with a 9-year history of refractory simple partial seizures, secondarily generalized, and a normal MRI, was studied with MEG to define magnetic spike sources, followed by invasive intracranial monitoring with subdural electrodes to delineate the epileptogenic zone and eloquent function pursuant to focal cortical excision. RESULTS: MEG demonstrated two spike foci on the right middle frontal and inferior rolandic areas adjacent to the sensory area. Ictal recordings during prolonged invasive monitoring from subdural electrodes revealed two epileptogenic zones in the same locations as those defined by MEG. Focal cortical excision was performed of each epileptogenic zone. The patient has been seizure free for 24 months without neurologic deficit. CONCLUSIONS: Magnetic source imaging is a valuable adjunct in the planning of subdural grid placement in epilepsy surgery, particularly in patients in whom conventional imaging fails to reveal a lesion.     

Hemispheric asymmetries in categorical perception of orientation in infants and adults

Orientation CP is the faster or more accurate discrimination of two orientations from different categories (e.g., oblique1 and vertical1) compared to two orientations from the same category (e.g., oblique1 and oblique2), even when the degree of difference is equated across conditions. Here, we assess whether there are hemispheric asymmetries in this effect for adults and 5-month-old infants. Experiment 1 identified the location of the vertical-oblique category boundary. Experiment 2, using a visual search task with oriented lines found that adult search was more accurate when the target and distractors were from different orientation categories, compared to targets and distractors of an equivalent physical difference taken from the same category. This effect was stronger for targets lateralized to the left visual field (LVF) than the right visual field (RVF), indicating a right hemisphere (RH) bias in adult orientation CP. Experiment 3, replicated the RH bias using different stimuli and also investigated the impact of visual and verbal interference on the category effect. Experiment 4, using the same visual search task, found that infant search was also faster when the target and distractors were from different orientation categories than the same, yet this category effect was stronger for RVF than LVF lateralized targets, indicating a LH bias in orientation CP at 5 months. These findings are contrasted to equivalent studies on the lateralization of color CP (e.g., Gilbert, Regier, Kay, & Ivry, 2005). The implications for theories on the contribution of the left and right hemispheres of the infant and adult brain to categorical computations are discussed.     

皮层电极描记配合立体定向切除癫痫灶

目的 评价皮层电极描记在立体定向切除癫痫灶手术中的应用和价值。方法 对25例以癫痫为首发症状的继发性癫痫患者采用MRI导向下，立体定向环钻开颅，切除病灶前行皮层电极描记，记录有无癫痫波和范围，切除病灶后再次描记，如仍有癫痫波，则在不影响神经功能的基础上将有癫痫波的皮层尽可能切除。结果 25例患者中有19例在切除病灶前记录到棘波、棘-慢波、尖波或尖-慢波，切除后有15例上述癫痫波完全消失，4例仍有散在的少许癫痫波；另有6例患者未记录到癫痫波，但表现为基本的节律异常，切除病灶后好转。25例患者中胶质瘤6例，脑囊虫病5例，蛛网膜囊肿3例，软化灶3例，皮层发育不全2例，血管畸形2例，转移癌2例，炎症1例，胶质细胞增生1例，病灶直径在0．8～4．7cm。手术后24例癫痫发作消失，1例仍偶有癫痫发作，比例能够被口服抗癫痫药物控制。手术后患者无神经功能损害加重。结论 皮层电极描记和立体定向方法相结合，既能明确癫痫灶的范围，又能以微侵袭的方法切除癫痫灶，尤其适用于直径小于4cm的癫痫灶的切除。     

情感韵律加工的单侧化

首先阐述韵律加工的神经机制的相关假说,然后从情感韵律的知觉和产生两方面,回顾大脑半球在情感韵律加工中的单侧化优势的相关研究。大多数研究表明,情感韵律的加工主要在右半球,此外,皮层下组织在情感韵律产生和知觉中起着重要作用。     

Epidemiology of tick‐borne pathogens in the semi‐arid and the arid agro‐ecological zones of Punjab province,Pakistan

Tick‐borne diseases (TBDs) have a large impact on animal health and the livelihood of livestock owners, particularly in developing countries. Although climatic and ecological conditions in Pakistan may favour the transmission of tick‐borne pathogens (TBPs), only a few systematic studies have been carried out on TBPs and the diseases that they cause in this country. To improve our understanding of the distribution of TBPs, 3,807 ticks were collected from ruminants (n = 369) on 108 livestock farms (semi‐arid zone = 36, arid zone = 72) in Punjab Province. After morphological identification ticks were pooled into 405 pools (Hyalomma anatolicum = 300, Rhipicephalus microplus = 89, Hyalomma dromedarii = 9, Rhipicephalus turanicus = 7) based on their species, locality of collection, and the host. DNA from each pool was screened by a Reverse Line Blot (RLB) hybridization assay for the presence of Anaplasma, Ehrlichia, Rickettsia, Babesia, and Theileria species. DNA from at least one TBP was found in 142 (35.1%) pools. Among the positive pools, 91 (64.1%) had a mixed infection with two or more TBPs, whereas 51 (35.9%) pools were infected with a single TBP. The detected pathogens not only included species that were known to be endemic in Pakistan, such as Theileria annulata (6.7%), Theileria orientalis (3.5%), Anaplasma marginale (5.7%), Anaplasma centrale (2.7%), Anaplasma ovis (1.5%), Babesia bigemina (0.7%), and Babesia bovis (0.2%), but also several TBPs that had not been reported to occur in Pakistan before. This included Ehrlichia minasensis (3.2%), an Anaplasma platys‐like organism (1.2%), Babesia occultans (0.2%), and Rickettsia massiliae (0.2%), as well as two previously uncharacterized species: Ehrlichia sp. Multan (18.0%) and Anaplasma sp. (BL099‐6) (2.22%). The pathogenicity of these novel species remains to be examined. This study shows that a much broader spectrum of TBPs is present in Pakistan than previously thought, including several zoonotic pathogens.