Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Gabriela Czanner is active.

Publication


Featured researches published by Gabriela Czanner.


BMJ | 2010

Oral bisphosphonates and risk of cancer of oesophagus, stomach, and colorectum: case-control analysis within a UK primary care cohort

Jane Green; Gabriela Czanner; Gillian Reeves; Joanna Watson; Lesley Wise; Valerie Beral

Objective To examine the hypothesis that risk of oesophageal, but not of gastric or colorectal, cancer is increased in users of oral bisphosphonates. Design Nested case-control analysis within a primary care cohort of about 6 million people in the UK, with prospectively recorded information on prescribing of bisphosphonates. Setting UK General Practice Research Database cohort. Participants Men and women aged 40 years or over—2954 with oesophageal cancer, 2018 with gastric cancer, and 10 641 with colorectal cancer, diagnosed in 1995-2005; five controls per case matched for age, sex, general practice, and observation time. Main outcome measures Relative risks for incident invasive cancers of the oesophagus, stomach, and colorectum, adjusted for smoking, alcohol, and body mass index. Results The incidence of oesophageal cancer was increased in people with one or more previous prescriptions for oral bisphosphonates compared with those with no such prescriptions (relative risk 1.30, 95% confidence interval 1.02 to1.66; P=0.02). Risk of oesophageal cancer was significantly higher for 10 or more prescriptions (1.93, 1.37 to 2.70) than for one to nine prescriptions (0.93, 0.66 to 1.31) (P for heterogeneity=0.002), and for use for over 3 years (on average, about 5 years: relative risk v no prescription, 2.24, 1.47 to 3.43). Risk of oesophageal cancer did not differ significantly by bisphosphonate type, and risk in those with 10 or more bisphosphonate prescriptions did not vary by age, sex, smoking, alcohol intake, or body mass index; by diagnosis of osteoporosis, fracture, or upper gastrointestinal disease; or by prescription of acid suppressants, non-steroidal anti-inflammatory drugs, or corticosteroids. Cancers of the stomach and colorectum were not associated with prescription of bisphosphonate: relative risks for one or more versus no prescriptions were 0.87 (0.64 to 1.19) and 0.87 (0.77 to 1.00). The specificity of the association for oesophageal cancer argues against methodological problems in the selection of cases and controls or in the analysis. Conclusions The risk of oesophageal cancer increased with 10 or more prescriptions for oral bisphosphonates and with prescriptions over about a five year period. In Europe and North America, the incidence of oesophageal cancer at age 60-79 is typically 1 per 1000 population over five years, and this is estimated to increase to about 2 per 1000 with five years’ use of oral bisphosphonates.


Journal of Neurophysiology | 2008

Analysis of Between-Trial and Within-Trial Neural Spiking Dynamics

Gabriela Czanner; Uri T. Eden; Sylvia Wirth; Marianna Yanike; Wendy A. Suzuki; Emery N. Brown

Recording single-neuron activity from a specific brain region across multiple trials in response to the same stimulus or execution of the same behavioral task is a common neurophysiology protocol. The raster plots of the spike trains often show strong between-trial and within-trial dynamics, yet the standard analysis of these data with the peristimulus time histogram (PSTH) and ANOVA do not consider between-trial dynamics. By itself, the PSTH does not provide a framework for statistical inference. We present a state-space generalized linear model (SS-GLM) to formulate a point process representation of between-trial and within-trial neural spiking dynamics. Our model has the PSTH as a special case. We provide a framework for model estimation, model selection, goodness-of-fit analysis, and inference. In an analysis of hippocampal neural activity recorded from a monkey performing a location-scene association task, we demonstrate how the SS-GLM may be used to answer frequently posed neurophysiological questions including, What is the nature of the between-trial and within-trial task-specific modulation of the neural spiking activity? How can we characterize learning-related neural dynamics? What are the timescales and characteristics of the neurons biophysical properties? Our results demonstrate that the SS-GLM is a more informative tool than the PSTH and ANOVA for analysis of multiple trial neural responses and that it provides a quantitative characterization of the between-trial and within-trial neural dynamics readily visible in raster plots, as well as the less apparent fast (1-10 ms), intermediate (11-20 ms), and longer (>20 ms) timescale features of the neurons biophysical properties.


International Journal of Cancer | 2012

Menopausal hormone therapy and risk of gastrointestinal cancer: nested case-control study within a prospective cohort, and meta-analysis.

Jane Green; Gabriela Czanner; Gillian Reeves; Joanna Watson; Lesley Wise; Andrew W. Roddam; Valerie Beral

Use of menopausal hormone therapy (HT) has been associated with reduced risk of colorectal cancer; evidence for its effect on other gastrointestinal cancers is limited. We conducted a nested case–control study within a UK cohort, and meta‐analyses combining our results with those from published studies. Our study included women aged 50+ in the UK General Practice Research Database (GPRD): 1,054 with oesophageal, 750 with gastric and 4,708 with colorectal cancer, and 5 age‐ and practice‐matched controls per case. Relative risks (RRs) and 95% confidence intervals (CIs) for cancer in relation to prospectively‐recorded HT prescriptions were estimated by conditional logistic regression. Women prescribed HT had a reduced risk of oesophageal cancer (adjusted RR for 1+ vs. no HT prescriptions, 0.68, 95% CI 0.53–0.88; p = 0.004), gastric cancer (0.75, 0.54–1.05; p = 0.1) and colorectal cancer (0.81, 0.73–0.90; p < 0.001). There were no significant differences in cancer risk by HT type, estimated duration of HT use or between past and current users. In meta‐analyses, risks for ever vs. never use of HT were significantly reduced for all three cancers (summary RR for oesophageal cancer, 0.68, 0.55–0.84, p < 0.001; for gastric cancer, 0.78, 0.65–0.94, p = 0.008; for colorectal cancer, 0.84, 0.81–0.88, p < 0.001). In high‐income countries, estimated incidence over 5 years of these three cancers combined in women aged 50–64 was 2.9/1,000 in HT users and 3.6/1,000 in never users. The absolute reduction in risk of these cancers in HT users is small compared to the HT‐associated increased risk of breast cancer.


Neural Computation | 2005

Theory of the Snowflake Plot and Its Relations to Higher-Order Analysis Methods

Gabriela Czanner; Sonja Grün; Satish Iyengar

The snowflake plot is a scatter plot that displays relative timings of three neurons. It has had rather limited use since its introduction by Perkel, Gerstein, Smith, and Tatton (1975), in part because its triangular coordinates are unfamiliar and its theoretical properties are not well studied. In this letter, we study certain quantitative properties of this plot: we use projections to relate the snowflake plot to the cross-correlation histogram and the spike-triggered joint histogram, study the sampling properties of the plot for the null case of independent spike trains, study a simulation of a coincidence detector, and describe the extension of this plot to more than three neurons.


Proceedings of the National Academy of Sciences of the United States of America | 2015

Measuring the signal-to-noise ratio of a neuron

Gabriela Czanner; Sridevi V. Sarma; Demba Ba; Uri T. Eden; Wei Wu; Emad N. Eskandar; Hubert H. Lim; Simona Temereanca; Wendy A. Suzuki; Emery N. Brown

Significance Neurons represent both signal and noise in binary electrical discharges termed action potentials. Hence, the standard signal-to-noise ratio (SNR) definition of signal amplitude squared and divided by the noise variance does not apply. We show that the SNR estimates a ratio of expected prediction errors. Using point process generalized linear models, we extend the standard definition to one appropriate for single neurons. In analyses of four neural systems, we show that single neuron SNRs range from −29 dB to −3 dB and that spiking history is often a more informative predictor of spiking propensity than the signal or stimulus activating the neuron. By generalizing the standard SNR metric, we make explicit the well-known fact that individual neurons are highly noisy information transmitters. The signal-to-noise ratio (SNR), a commonly used measure of fidelity in physical systems, is defined as the ratio of the squared amplitude or variance of a signal relative to the variance of the noise. This definition is not appropriate for neural systems in which spiking activity is more accurately represented as point processes. We show that the SNR estimates a ratio of expected prediction errors and extend the standard definition to one appropriate for single neurons by representing neural spiking activity using point process generalized linear models (PP-GLM). We estimate the prediction errors using the residual deviances from the PP-GLM fits. Because the deviance is an approximate χ2 random variable, we compute a bias-corrected SNR estimate appropriate for single-neuron analysis and use the bootstrap to assess its uncertainty. In the analyses of four systems neuroscience experiments, we show that the SNRs are −10 dB to −3 dB for guinea pig auditory cortex neurons, −18 dB to −7 dB for rat thalamic neurons, −28 dB to −14 dB for monkey hippocampal neurons, and −29 dB to −20 dB for human subthalamic neurons. The new SNR definition makes explicit in the measure commonly used for physical systems the often-quoted observation that single neurons have low SNRs. The neuron’s spiking history is frequently a more informative covariate for predicting spiking propensity than the applied stimulus. Our new SNR definition extends to any GLM system in which the factors modulating the response can be expressed as separate components of a likelihood function.


Investigative Ophthalmology & Visual Science | 2015

Human Conjunctival Stem Cells are Predominantly Located in the Medial Canthal and Inferior Forniceal Areas

Rosalind M. K. Stewart; Carl Sheridan; Paul Hiscott; Gabriela Czanner; Stephen B. Kaye

PURPOSE The conjunctiva plays a key role in ocular surface defence and maintenance of the tear film. Ex vivo expansion of conjunctival epithelial cells offers potential to reconstruct the ocular surface in cases of severe cicatrising disease, but requires initial biopsies rich in stem cells to ensure long-term success. The distribution of human conjunctival stem cells, however, has not been clearly elucidated. METHODS Whole human cadaveric conjunctiva was retrieved and divided into specific areas for comparison. From each donor, all areas from one specimen were cultured for colony-forming efficiency assays and immunocytochemical studies; all areas from the other specimen were fixed and paraffin embedded for immunohistochemical studies. Expression of CK19, p63, and stem cell markers ABCG2, ΔNp63, and Hsp70 were analyzed. Results were correlated to donor age and postmortem retrieval time. RESULTS Conjunctiva was retrieved from 13 donors (26 specimens). Colony-forming efficiency and expression of stem cell markers ABCG2, ΔNp63, and Hsp70 in cultures and ABCG2 in fixed tissue were all consistently demonstrated throughout the tissue but with highest levels in the medial canthal and inferior forniceal areas (P < 0.01 for each). Both increasing donor age and longer postmortem retrieval times were associated with significantly lower colony-forming efficiency, stem cell marker expression in cell cultures and ABCG2 expression in fixed tissue. CONCLUSIONS Biopsies from the medial canthus and inferior forniceal areas, from younger donors, and with short postmortem retrieval times offer the greatest potential to developing conjunctival stem cell-rich epithelial constructs for transplantation.


Emerging Infectious Diseases | 2017

Novel Retinal Lesion in Ebola Survivors, Sierra Leone, 2016

Paul J. Steptoe; Janet T. Scott; Julia M. Baxter; Craig Parkes; Rahul Dwivedi; Gabriela Czanner; Matthew Vandy; Fayiah Momorie; Alimamy D. Fornah; Patrick Komba; Jade Richards; Foday Sahr; Nicholas A. V. Beare; Malcolm G. Semple

A lesion specific to Ebola virus disease showed an anatomical distribution suggesting neuronal transmission.


Biomarkers in Medicine | 2015

Developing retinal biomarkers of neurological disease: an analytical perspective

Ian Jc MacCormick; Gabriela Czanner; Brian Faragher

The inaccessibility of the brain poses a problem for neuroscience. Scientists have traditionally responded by developing biomarkers for brain physiology and disease. The retina is an attractive source of biomarkers since it shares many features with the brain. Some even describe the retina as a ‘window’ to the brain, implying that retinal signs are analogous to brain disease features. However, new analytical methods are needed to show whether or not retinal signs really are equivalent to brain abnormalities, since this requires greater evidence than direct associations between retina and brain. We, therefore propose a new way to think about, and test, how clearly one might see the brain through the retinal window, using cerebral malaria as a case study.


Acta Ophthalmologica | 2016

Perforin expression in eyelid sebaceous carcinomas: a useful and specific immunomarker for the differential diagnosis of eyelid carcinomas.

Ruchi Mittal; Iguaracyra Araujo; Gabriela Czanner; Sarah E. Coupland

Eyelid sebaceous carcinoma (SC) remains a common diagnostic pitfall for both the clinician and histopathologist. The aim of this study was to describe perforin as a new marker in the immunohistochemistry panel for SC.


spring conference on computer graphics | 2009

A study of visual perception: social anxiety and virtual realism

Joung Huem Kwon; Chalmers Alan; Silvester Czanner; Gabriela Czanner; John Powell

Virtual reality exposure therapy offers the possibility of tackling social anxiety in an efficient, safe and controlled manner. A key question, however, is what is the level of realism required in virtual environments to ensure the environment is effective in helping the participant to deal with their anxiety. One concern which affects a lot of people from all walks of life is the fear of a job interview. In this paper we investigate the relationship between anxiety and varying levels of realistic fidelity. We recruited 60 volunteers and studied their anxiety levels via randomised block design, where each block was exposed to a different level of fidelity of the virtual avatars: realistic 3D human avatar, cartoon-like 3D avatar, and human photographs. We measured the social anxiety of all participants via a measure of eyes avoidance behaviour. Our main findings are that the participants exhibited more anxiety in accordance with the attitude of virtual avatars than the avatars level of realism.

Collaboration


Dive into the Gabriela Czanner's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yalin Zheng

University of Liverpool

View shared research outputs
Top Co-Authors

Avatar

Emery N. Brown

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Stephen B. Kaye

Royal Liverpool University Hospital

View shared research outputs
Top Co-Authors

Avatar

David Hughes

University of Liverpool

View shared research outputs
Top Co-Authors

Avatar

Jayashree Sahni

Royal Liverpool University Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Wendy A. Suzuki

Center for Neural Science

View shared research outputs
Top Co-Authors

Avatar

Sylvia Wirth

Centre national de la recherche scientifique

View shared research outputs
Researchain Logo
Decentralizing Knowledge