Cell-specific switch for epileptiform activity: critical role of interneurons in the mouse subicular network

During epileptic seizures, neuronal network activity is hyper synchronized whereby GABAergic parvalbumin-interneurons may have a key role. Previous studies have mostly utilized 4-aminopyridine to induce epileptiform discharges in brain slices from healthy animals. However, it is not clear if the seizure-triggering ability of parvalbumin-interneurons also holds true without the use of external convulsive agents. Here, we investigate whether synchronized activation of parvalbumin-interneurons or principal cells can elicit epileptiform discharges in subiculum slices of epileptic mice. We found that selective synchronized activation of parvalbumin-interneurons or principal cells with optogenetics do not result in light-induced epileptiform discharges (LIEDs) neither in epileptic nor in normal brain slices. Adding 4-aminopyridine to slices, activation of parvalbumin-interneurons still failed to trigger LIEDs. In contrast, such activation of principal neurons readily generated LIEDs with features resembling afterdischarges. When GABAA receptor blocker was added to the perfusion medium, the LIEDs were abolished. These results demonstrate that in subiculum, selective synchronized activation of principal excitatory neurons can trigger epileptiform discharges by recruiting a large pool of downstream interneurons. This study also suggests region-specific role of principal neurons and interneurons in ictogenesis, opening towards differential targeting of specific brain areas for future treatment strategies tailored for individual patients with epilepsy.

A guide for evaluating and reporting map data quality: Affirming Shao et al. "Overselling overall map accuracy misinforms about research reliability"

CONTEXT

Landscape ecologists often use thematic map data in their research. Greater familiarity with thematic map accuracy assessment protocols will enhance appropriate use and interpretation of map quality data.

OBJECTIVES

Provide an overview of thematic map accuracy assessment protocols and simple, non-quantitative guidelines to assess the quality of the thematic map data that landscape ecologists use in their research.

METHODS

Synthesis and interpretation of salient literature on map accuracy assessment.

CONCLUSIONS

Landscape ecologists can adopt three simple rules to improve their use and interpretation of map data: 1) use the map quality data only if the accuracy assessment protocols adhere to rigorous, well-established standards for the sampling design, response design, and analysis; 2) focus on class-specific accuracy via user's and producer's accuracies (or the complementary measures commission and omission error rates); and 3) use the criterion that an accuracy assessment that reports class-specific accuracies accompanied by standard errors is a strong indicator of a rigorous assessment.

Accuracy Assessment of NLCD 2011 percent impervious cover for selected USA Metropolitan Areas

The emergence of high-resolution land cover data has created the opportunity to assess the accuracy of impervious cover (IC) provided by the National Land Cover Database (NLCD). We assessed the accuracy of the 900 m² NLCD2011 %IC for 18 metropolitan areas throughout the conterminous United States using reference data from 1 m² land cover data developed as part of the United States Environmental Protection Agency's EnviroAtlas project. Agreement was assessed from two perspectives: 1) sensitivity to the size of the assessment unit used for the comparison, and 2) utility of NLCD %IC to serve as a proxy for high-resolution IC. The former perspective was considered because statistical relationships can be sensitive to assessment unit size and shape, and the latter perspective was considered because high resolution (reference) %IC data are not available nationwide. The utility of NLCD %IC as a proxy for the high resolution data was assessed for seven lattice (square) cell sizes ranging from 1 ha to 200 ha using four EnviroAtlas IC indicators: 1) %IC per 100 ha (1 km²); 2) %IC by Census block group; 3) %IC within a 15 m (radius) of the riparian zone, and; 4) %IC within a 50 m (radius) of the riparian zone. Agreement was quantified as per assessment unit deviation (NLCD %IC - reference %IC) and summarized as Mean Absolute Deviation (MAD) and Mean Deviation (MD) both within and across the 18 metropolitan areas. Ordinary least squares (OLS) regression (y = reference %IC and x = NLCD %IC) was also used to evaluate the quality of the NLCD %IC data. MAD was ≤ 5% for six of the seven lattice cell sizes. MAD was also ≤ 5% for Census block groups > 100 ha and for both riparian units. These results suggest that uncertainty attributable to the measurement of %IC was no greater than the uncertainty related to the effect of IC on aquatic resources that have been derived from studies of aquatic condition (e.g., benthic fauna) over a range of %IC. Overall, agreement was variable from one metropolitan area to the next. Agreement improved as assessment unit size increased and declined as the level of urbanization (NLCD %IC) increased. NLCD %IC tended to underestimate reference %IC overall, but NLCD %IC was sometimes greater than reference %IC in urbanized settings.

Influence of high-resolution data on the assessment of forest fragmentation

CONTEXT

Remote sensing has been a foundation of landscape ecology. The spatial resolution (pixel size) of remotely sensed land cover products has improved since the introduction of landscape ecology in the United States. Because patterns depend on spatial resolution, emerging improvements in the spatial resolution of land cover may lead to new insights about the scaling of landscape patterns.

OBJECTIVE

We compared forest fragmentation measures derived from very high resolution (1 m²) data with the same measures derived from the commonly used (30 m × -30 m; 900 m²) Landsat-based data.

METHODS

We applied area-density scaling to binary (forest; non-forest) maps for both sources to derive source-specific estimates of dominant (density ≥ 60%), interior (≥ 90%), and intact (100%) forest.

RESULTS

Switching from low- to high-resolution data produced statistical and geographic shifts in forest spatial patterns. Forest and non-forest features that were "invisible" at low resolution but identifiable at high resolution resulted in higher estimates of dominant and interior forest but lower estimates of intact forest from the high-resolution source. Overall, the high-resolution data detected more forest that was more contagiously distributed even at larger spatial scales.

CONCLUSION

We anticipate that improvements in the spatial resolution of remotely sensed land cover products will advance landscape ecology through reinterpretations of patterns and scaling, by fostering new landscape pattern measurements, and by testing new spatial pattern-ecological process hypotheses.

Accuracy assessment of NLCD 2011 impervious cover data for the Chesapeake Bay region, USA

The National Land Cover Database (NLCD) contains three eras (2001, 2006, 2011) of percentage urban impervious cover (%IC) at the native pixel size (30 m-×-30 m) of the Landsat Thematic Mapper satellite. These data are potentially valuable to environmental managers and stakeholders because of the utility of %IC as an indicator of watershed and aquatic condition, but lack an accuracy assessment because of the absence of suitable reference data. Recently developed 1 m2 land cover data for the Chesapeake Bay region makes it possible to assess NLCD %IC accuracy for a 262,000 km2 region based on a census rather than a sample of reference data. We report agreement between the two %IC datasets for watersheds and the riparian zones within watersheds and four additional square units. The areas of the six assessment units were 40 ha cell, 433 ha (riparian mean), 2756 ha cell, 5626 ha cell, 8569 ha (watershed mean) and 22,500 ha cell. Mean Absolute Deviation (MAD) and Mean Deviation (MD) were about 1.5% and -1.5%, respectively, for each of the assessment units except for the riparian unit, for which MAD and MD were 0.88 and 0.62, respectively. NLCD reliably reproduced %IC from the 1 m2 data with a small, consistent tendency for underestimation. Results were sensitive to assessment unit choice. The results for the four largest assessment units had very similar regression parameters, R2 values, and bias patterns. Results for the riparian assessment were different from those for the watershed unit and the other three larger units. MAD was about 50% less for the riparian zones than it was for the watersheds, the direction of bias was less consistent, and NLCD %IC was uniformly higher than 1 m2 %IC in urbanized riparian zones. For the smallest unit, bias patterns were more similar to the riparian unit and regression results were more similar to the four larger units. MAD and MD were also sensitive to the amount of urbanization, increasing as NLCD %IC increased. The low overall bias and positive relationship between bias and urbanization suggest that the benefits of obtaining 1 m2 IC data outside of urban areas may not outweigh the costs of obtaining such data.

Spatial patterns of the United States National Land Cover Dataset (NLCD) land-cover change thematic accuracy (2001-2011)

Research on spatial non-stationarity of land-cover classification accuracy has been ongoing for over two decades with most of the work focusing on single date maps. We extend the understanding of thematic map accuracy spatial patterns by: (1) quantifying spatial patterns of map-reference agreement for class-specific land-cover change rather than class-specific land cover for both omission and commission expressions of map error; (2) reporting goodness-of-fit estimates for the empirical models, which have been lacking in previous assessments, and; (3) using the empirical model results to map the locations of the relative likelihoods of map-reference agreement for specific land-cover change classes. We evaluated 10 map-based explanatory variables in single and multivariable logistic regression models to predict the likelihood of agreement between map and reference land-cover change (2001-2011) labels using the National Land Cover Database (NLCD) 2011 land cover and accuracy data. Logistic models for omission error had better goodness-of-fit estimates than models for commission error. For the omission error models, the explanatory variable, density of the mapped class-specific change in the immediate neighbourhood surrounding the sample pixel, produced the best model fit results (Tjur coefficient of discrimination, D, ranged from 0.59 to 0.98) compared to multivariable models and all other single explanatory variable models. Maps of the predicted likelihood of map-reference agreement produced from the best fitting omission error models provide a spatially explicit description of spatial variation of classification uncertainty at both local and regional scales. Application of the models indicated higher likelihoods of agreement (>50%) comprised a greater proportion of the land-cover change class area than the proportion of the land-cover change class with lower likelihoods of agreement. NLCD users can apply reported equations to map land-cover change uncertainty.

The histone deacetylase inhibitor MS-275 induces caspase-dependent apoptosis in B-cell chronic lymphocytic leukemia cells

MS-275 is a histone deacetylase (HDAC) inhibitor that has been reported to mediate its cytotoxic effect through generation of reactive oxygen species (ROS) in proliferating hematopoietic cell lines. We examined efficacy of MS-275 in nonproliferating chronic lymphocytic leukemia (CLL) cells from patients. In these cells, MS-275 demonstrated an in vitro LC(50) that was one log lower than for normal mononuclear cells. Following MS-275 treatment, histones H3 and H4 showed increased acetylation and HDAC enzymatic activity was reduced. Caspase-8, -9, and -3 were activated, and caspase substrates PARP and BID were cleaved. Additionally, FLICE-inhibitory protein (FLIP) was downmodulated following MS-275 incubation. MS-275 treatment caused detectable ROS generation after 15 h of incubation, which was blocked by the caspase inhibitor Z-VAD-fmk. Overexpression of Bcl-2 protein protected against MS-275-induced apoptosis. These data demonstrate that MS-275 is a promising therapy for the treatment of CLL, but that in contrast to previous reports, ROS generation does not precede commitment to apoptosis. Similar to many other therapeutic targets, MS-275-mediated apoptosis is reduced by overexpression of Bcl-2, justifying strategies to combine HDAC inhibitors with Bcl-2 antagonists.

Anatomical and possible clinical relationships between the calcaneofibular ligament and peroneus brevis--a pilot study

The authors have observed in their clinical practice patients presenting with chronic retromalleolar pain following lateral ankle injuries. It has been hypothesized that persistent retromalleolar pain following a supination sprain may be due to peroneus brevis (PB) tendon tears (Boruta et al. 1990). The aims of this study were to investigate whether an anatomical relationship exists between the calcaneofibular ligament (CFL) and PB, and if so, the significance of this relationship in the positions of supination sprain and talar tilt test. Seven out of eight cadaveric ankles demonstrated fibrous connecting tissue between the tendon of PB and CFL. Four of the eight ankles demonstrated PB tendon abnormalities. The presence of connecting tissue between CFL and PB suggests an anatomical basis for concomitant damage to the PB tendon with a supination sprain, thus supporting the hypothesis that there may be an anatomical basis for persistent retromalleolar pain subsequent to injury to the lateral ankle complex.

A balance of signaling by Rho family small GTPases RhoA, Rac1 and Cdc42 coordinates cytoskeletal morphology but not cell survival

Rho family GTPases are known to be involved in cytoskeletal reorganization. We examined the possibility that these functions may be dictated by a balance of Rho family GTPase signaling. Using transient viral expression of RhoA, Rac1, Cdc42 and their mutants, as well as C3 exoenzyme, we altered cytoskeletal organization under normal growth conditions. Overexpression of wild-type or constitutively active forms of the Rho family GTPases led to their respective activation phenotypes. Overexpression of dominant negative forms of given Rho family GTPases led to a phenotype consistent with activation of the other Rho family GTPase. Treatment with C. difficile toxin A, that inactivates all Rho family GTPases, led to the transient appearance of a variety of activation phenotypes. Previously, we reported that inactivation of Rho led to induction of apoptosis, implying that Rho may play an important role in cell survival signaling. This signaling, however, is not affected by expression of any forms of Rac1 or Cdc42, and only inactivation of Rho led to induction of apoptosis. Rho family GTPases appear to coordinate cytoskeletal organization by a balance of signaling, while cell survival is regulated by a distinct Rho-mediated signaling pathway.

Minimally invasive therapy

A rapid change is taking place in the development of less invasive surgical and radiological techniques. The consequences of these changes may have considerable implications for clinical work patterns and institutional design in the next decade. Surgeons, radiologists and health economists must be prepared to recognise and react rapidly to these radical shifts in technology which are aimed at the reduction of patient morbidity and mortality.

Current management of urinary calculi

Open surgery for the removal of renal and ureteric calculi has been rendered almost obsolete in the last eight years. The development of the extracorporeal lithotripter and the pulsed dye laser has permitted many patients to have their stones treated without anaesthesia on an outpatient basis.

Tachyarrhythmia therapy utilizing electrical stimulation: a review

The review is structured in such a way as to fall naturally into four main sections. These are as follows: clinical overview of the common mechanisms leading to the generation of tachyarrhythmias; commonly used sensing techniques and algorithms for the detection of tachyarrhythmias; electrical stimulation algorithms used to terminate many of the rhythms; existing implantable devices and a brief look at the future. The clinical overview introduces the reader unfamiliar with tachyarrhythmias to such mechanisms as sinus tachycardia, supraventricular tachycardias (SVTs), ventricular tachycardia, 'torsade de pointes', and ventricular fibrillation. SVT includes paroxysmal SVT, atrial flutter, atrial tachycardia and junctional tachycardia (enhanced automaticity). Also there is a brief introduction to alternative therapies (drugs, surgery etc.) The sensing techniques section covers input signal processing to enable the R wave to be adequately detected; while the tachycardia detection algorithms section discusses such areas as simple rate detect, rate of change of rate detect, stability of rate, the so-called probability density function technique and some other more complex detection algorithms. The section on electrical stimulation algorithms used for tachycardia therapy discusses burst pacing techniques, special cases such as automatically decrementing bursts and automatically incrementing bursts, defibrillation shock therapy (since fibrillation is a form of tachyarrhythmia) and several other more complex algorithms. The review finishes up with a discussion of current implantable antitachy pacemakers and defibrillators. There is also a speculative look at the future to enable the reader to obtain a full picture.