PubMed Health⌕ Search

Biomedical subjects

Y Rotman

Publications and source records attributed to Y Rotman.

7 recordsLinked to original sources
PubMed2006

Predictive value of serum globulin levels for the extent of hepatic fibrosis in patients with chronic hepatitis B infection.

The mechanism underlying disease progression in hepatitis B virus (HBV) infection is unknown. Immunoglobulins stimulate the proliferative activity of rat hepatic stellate cells in vitro. A strong association was found between serum immunoglobulin levels and hepatic fibrosis in patients with hepatitis C virus infection. Our objective was to determine if the same index could also be used in patients with chronic HBV infection. The records of 100 patients with biochemical, serological, virological and histological evidence of chronic HBV infection were reviewed for background factors and serum globulin and immunoglobulin levels. Mean (+/-SD) patient age was 44.0 +/- 14.7 years; 80 (80%) were male. Of the factors found to be significant on univariate analysis, the only significant predictors of severe hepatic fibrosis (stage > or = 2) on multivariate analysis were serum globulin level [odds ratio (OR) 5.97, 95% confidence intervals (CI) 1.82-19.53, P = 0.0004], platelet count (OR 0.98, CI 0.97-0.99, P = 0.001), and immunoglobulin G (IgG) level (OR 1.003, CI 1.000-1.007, P < 0.042) but not IgA, alkaline phosphatase, albumin or international normalized ratio. For each increase of 0.33 mg/dL in serum globulin, there was a 0.5 point increase in the stage of hepatic fibrosis. There appears to be a strong association between levels of serum globulin and IgG and extent of hepatic fibrosis in patients with chronic HBV infection. They can serve as noninvasive markers of hepatic fibrosis and, if confirmed, have important implications for the management of patients with chronic HBV infection.

Adult↗
PubMed2001

Relating cluster and population responses to natural sounds and tonal stimuli in cat primary auditory cortex.

Most information about neuronal properties in primary auditory cortex (AI) has been gathered using simple artificial sounds such as pure tones and broad-band noise. These sounds are very different from the natural sounds that are processed by the auditory system in real world situations. In an attempt to bridge this gap, simple tonal stimuli and a standard set of six natural sounds were used to create models relating the responses of neuronal clusters in AI of barbiturate-anesthetized cats to the two classes of stimuli. A significant correlation was often found between the response to the separate frequency components of the natural sounds and the response to the natural sound itself. At the population level, this correlation resulted in a rate profile that represented robustly the spectral profiles of the natural sounds. There was however a significant scatter in the responses to the natural sound around the predictions based on the responses to tonal stimuli. Going the other way, in order to understand better the non-linearities in the responses to natural sounds, responses of neuronal clusters were characterized using second order Volterra kernel analysis of their responses to natural sounds. This characterization predicted reasonably well the amplitude of the response to other natural sounds, but could not reproduce the responses to tonal stimuli. Thus, second order non-linear characterizations, at least those using the Volterra kernel model, do not interpolate well between responses to tones and to natural sounds in auditory cortex.

Acoustic Stimulation↗
PubMed1999

Responses of auditory-cortex neurons to structural features of natural sounds.

Sound-processing strategies that use the highly non-random structure of natural sounds may confer evolutionary advantage to many species. Auditory processing of natural sounds has been studied almost exclusively in the context of species-specific vocalizations, although these form only a small part of the acoustic biotope. To study the relationships between properties of natural soundscapes and neuronal processing mechanisms in the auditory system, we analysed sound from a range of different environments. Here we show that for many non-animal sounds and background mixtures of animal sounds, energy in different frequency bands is coherently modulated. Co-modulation of different frequency bands in background noise facilitates the detection of tones in noise by humans, a phenomenon known as co-modulation masking release (CMR). We show that co-modulation also improves the ability of auditory-cortex neurons to detect tones in noise, and we propose that this property of auditory neurons may underlie behavioural CMR. This correspondence may represent an adaptation of the auditory system for the use of an attribute of natural sounds to facilitate real-world processing tasks.

Animals↗