Nurturing Hope: Reproductive Outcomes with Sinosomatics following Unsuccessful in vitro Fertilization Attempts.

INTRODUCTION: For women who have experienced failed attempts at in vitro fertilization (IVF) and face medical issues, leading to infertility, the renewed effort to seek fertility treatment, coupled with decreasing likelihood of success, can exert substantial emotional and physical strains. Consequently, many couples opt to discontinue treatment before attaining pregnancy. The objective of this study was to evaluate the reproductive outcomes in patients with unsuccessful prior IVF attempts who received a complementary treatment designed to alleviate emotional distress and burden. PATIENTS AND METHODS: A retrospective analysis of data from infertile patients who initiated the complementary intervention at a private clinic between January 2014 and December 2016 was conducted. Information on diagnosis, history of infertility, prior assisted reproductive technology treatments, mode of conception, and pregnancy outcomes were retrieved. RESULTS: The data of 133 patients with a history of one or more unsuccessful IVF treatments were analyzed. Patients had an average age of 36.7 years (±4.4 SD) and had been experiencing infertility for an average of 4.6 years (±2.7 SD). The two main causes of their infertility were endometriosis (36.1%, 48 patients) and diminished egg quality (31.6%, 42 patients). By May 2020, a significant proportion of the patients, 81.2% (108 patients), had achieved pregnancy, leading to 94 live births, which represents a 70.7% success rate. These pregnancies mostly resulted from natural cycle IVF (35.1%), donor cycles (23.4%), and conventional IVF (21.3%). The dropout rate was comparatively low at 23.3%. The median time from the start of complementary treatment to delivery was 18 months, with a range of 12-28 months. CONCLUSIONS: This study highlights the potential value of complementary treatment approaches in conjunction with standard medical care for women who have experienced unsuccessful IVF treatments in the past and thus face a reduced chance of motherhood. The reported 71% live birth rate is notably high, indicating that the inclusion of complementary treatments may provide women with past IVF failures a tangible opportunity for achieving successful pregnancy and childbirth. However, these findings need to be confirmed through randomized controlled studies.

Encoding of amplitude modulations by auditory neurons of the locust: influence of modulation frequency, rise time, and modulation depth.

Using modulation transfer functions (MTF), we investigated how sound patterns are processed within the auditory pathway of grasshoppers. Spike rates of auditory receptors and primary-like local neurons did not depend on modulation frequencies while other local and ascending neurons had lowpass, bandpass or bandstop properties. Local neurons exhibited broader dynamic ranges of their rate MTF that extended to higher modulation frequencies than those of most ascending neurons. We found no indication that a filter bank for modulation frequencies may exist in grasshoppers as has been proposed for the auditory system of mammals. The filter properties of half of the neurons changed to an allpass type with a 50% reduction of modulation depths. Contrasting to reports for mammals, the sensitivity to small modulation depths was not enhanced at higher processing stages. In ascending neurons, a focus on the range of low modulation frequencies was visible in the temporal MTFs, which describe the temporal locking of spikes to the signal envelope. To investigate the influence of stimulus rise time, we used rectangularly modulated stimuli instead of sinusoidally modulated ones. Unexpectedly, steep stimulus onsets had only small influence on the shape of MTF curves of 70% of neurons in our sample.

Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers.

The temporal pattern of amplitude modulations (AM) is often used to recognize acoustic objects. To identify objects reliably, intensity invariant representations have to be formed. We approached this problem within the auditory pathway of grasshoppers. We presented AM patterns modulated at different time scales and intensities. Metric space analysis of neuronal responses allowed us to determine how well, how invariantly, and at which time scales AM frequency is encoded. We find that in some neurons spike-count cues contribute substantially (20-60%) to the decoding of AM frequency at a single intensity. However, such cues are not robust when intensity varies. The general intensity invariance of the system is poor. However, there exists a range of AM frequencies around 83 Hz where intensity invariance of local interneurons is relatively high. In this range, natural communication signals exhibit much variation between species, suggesting an important behavioral role for this frequency band. We hypothesize, just as has been proposed for human speech, that the communication signals might have evolved to match the processing properties of the receivers. This contrasts with optimal coding theory, which postulates that neuronal systems are adapted to the statistics of the relevant signals.

Discrimination of acoustic communication signals by grasshoppers (Chorthippus biguttulus): temporal resolution, temporal integration, and the impact of intrinsic noise.

A characteristic feature of hearing systems is their ability to resolve both fast and subtle amplitude modulations of acoustic signals. This applies also to grasshoppers, which for mate identification rely mainly on the characteristic temporal patterns of their communication signals. Usually the signals arriving at a receiver are contaminated by various kinds of noise. In addition to extrinsic noise, intrinsic noise caused by stochastic processes within the nervous system contributes to making signal recognition a difficult task. The authors asked to what degree intrinsic noise affects temporal resolution and, particularly, the discrimination of similar acoustic signals. This study aims at exploring the neuronal basis for sexual selection, which depends on exploiting subtle differences between basically similar signals. Applying a metric, by which the similarities of spike trains can be assessed, the authors investigated how well the communication signals of different individuals of the same species could be discriminated and correctly classified based on the responses of auditory neurons. This spike train metric yields clues to the optimal temporal resolution with which spike trains should be evaluated.