Tag: pubmed

J Vis. 2022 Feb 1;22(3):7. doi: 10.1167/jov.22.3.7.

ABSTRACT

PURPOSE: The optical testing requirements of plano-protective eyewear in numerous national standards rely on subjective evaluation methods that are negatively impacted by factors such as accommodation, depth of focus, field of view and optical system resolving power differences. The aim of this study was to develop an objective method for testing the optical requirements of plano-protective eyewear.

METHOD: A Shack-Hartmann wavefront sensor and 542 nm collimated laser setup was used to build a Wavefront Analysis Optical Tester (WFAOT). The WFAOT was used to measure the refractive power of 9 calibration lenses and the left oculars of 36 military plano-protective eyewear. Subjective testing of the same samples was done using the telescope method described by American National Standard Institute (ANSI) Z87.1. A dependent t-test was used to evaluate the relationship between protective eyewear refractive powers before and after a two-week interval.SPSS 16 for Windows was used for all statistical analysis.

RESULTS: The spherical powers of the verification lenses measured with WFAOT and ANSI Z87.1 telescope approach are shown in Table 1. There was no difference in refractive powers of the same protective eyewear measured before (M=-0.010, SD=0.018) and after (M=-0.009, SD=0.019) a two-week interval; t(35)= -0.466, p = 0.644.

CONCLUSION: WFAOT is a refractive power measurement method comparable to the telescope approach proposed by ANSI Z87.1.

PMID:35120253 | DOI:10.1167/jov.22.3.7

J Vis. 2022 Feb 1;22(3):3. doi: 10.1167/jov.22.3.3.

ABSTRACT

Certain ocular imaging procedures such as fluoresceine angiography (FA) are invasive with potential for adverse side effects, while others such as funduscopy are non-invasive and safe for the patient. However, effective diagnosis of ophthalmic conditions requires multiple modalities of data and a potential need for invasive procedures. In this study, we propose a novel conditional generative adversarial network (GAN) capable of simultaneously synthesizing FA images from fundus photographs while predicting retinal degeneration. The proposed system addresses the problem of imaging retinal vasculature in a non-invasive manner while utilizing the cross-modality images to predict the existence of retinal abnormalities. One of the major contributions of the proposed work is the introduction of a semi-supervised approach in training the network to overcome the problem of data dependency from which traditional deep learning architectures suffer. Our experiments confirm that the proposed architecture outperforms state-of-the-art generative networks for image synthesis across imaging modalities. In particular, we show that there is a statistically significant difference (p<.0001) between our method and the state-of-the-art in structural accuracy of the translated images. Moreover, our results confirm that the proposed vision transformers generalize quite well on out-of-distribution data sets for retinal disease prediction, a problem faced by many traditional deep networks.

PMID:35120257 | DOI:10.1167/jov.22.3.3

J Vis. 2022 Feb 1;22(3):24. doi: 10.1167/jov.22.3.24.

ABSTRACT

Visual inputs are often highly structured, and statistical regularities of these signals can be used to guide future visuomotor associations and thus optimize behavior. Through a recurrent neural network (RNN) model, human psychophysics, and electroencephalography (EEG), we probed the neural mechanisms for processing probabilistic structures of visual signals to guide behavior. We first constructed and trained a biophysically constrained RNN model to perform a series of probabilistic visual discrimination tasks similar to paradigms designed for humans. Specifically, the training environment was probabilistic such that one stimulus was more probable than the others. We showed that both humans and RNNs successfully learned the stimulus probability and integrated this knowledge into their decisions and task strategy in a new environment. Performance of both humans and RNNs varied with the degree to which the stimulus probability of the new environment matched the formed expectation. In both cases, this expectation effect was more prominent when the strength of sensory evidence was low, suggesting that like humans, the RNNs placed more emphasis on prior expectation (top-down signals) when the available sensory information (bottom-up signals) was limited, thereby optimizing task performance. By dissecting the trained RNNs, we demonstrated how competitive inhibition and recurrent excitation form the basis for neural circuitry optimized to perform probabilistic visual processing.

PMID:35120236 | DOI:10.1167/jov.22.3.24

J Vis. 2022 Feb 1;22(3):37. doi: 10.1167/jov.22.3.37.

ABSTRACT

Research has shown that disentangling surface and illuminant colors was possible based on various scene statistics. This study investigates the statistical cues induced by the chromatic effects of interreflections. We present a numerical analysis of ambiguous spectral pairs, in which the spectral power distribution of the illuminant in one scene matched the surface reflectance function in the other scene and vice versa. If the scenes are flat or convex and perfectly matte (Lambertian), the reflected light spectra of both cases are identical. However, the incident light undergoes interreflections for concave scenes. The spectral power of interreflections will be absorbed spectrally in an exponential way, dependent on the number of interreflections. We found that this causes systematic shifts towards the spectral reflectance peaks, resulting in brightness, saturation and hue shifts. Those paired cases’ color differences (CIEDE2000) are so large that humans would be able to observe them if viewed simultaneously. In addition, we find that the color shifts cause qualitatively different gradients for chromatic materials and achromatic light and vice versa. Further psychophysical testing is necessary to see whether the different color shifts for the two cases can be recognized in isolation due to material or light properties. Moreover, the light densities and light vectors are spectrally different for these cases, creating different appearances of 3D objects in non-empty rooms.

PMID:35120223 | DOI:10.1167/jov.22.3.37

J Vis. 2022 Feb 1;22(3):60. doi: 10.1167/jov.22.3.60.

ABSTRACT

I will describe evidence for a theory of covert visual search developed within the framework of natural scene statistics and Bayesian statistical decision theory. The theory is unique in several ways: (1) it directly takes into account the statistical properties of natural images, (2) it takes into account the variation in neural processing with retinal location, as well as other known properties of the visual system, and hence contains almost no free parameters, and (3) it includes a principled attentional mechanism that efficiently allocates sensitivity gain across the visual field. This latter mechanism was discovered in experiments measuring covert search in white-noise backgrounds, where the target could appear anywhere within a large search area. In a separate experiment, target detectability (d’) was measured across the visual field when the target location was cued/known. The shape of this “d’ map” was consistent with the theory. The overall performance in the covert search task was also predicted quite well from this d’ map, with no free parameters, assuming parallel unlimited-capacity processing. However, paradoxically, detection accuracy was low in the foveal region, even though it was predicted to be very high. We show that this “foveal neglect” is the expected consequence of efficiently allocating a fixed total attentional sensitivity gain across neurons in visual cortex, rather than across locations in visual space (the traditional assumption). Furthermore, the theory predicts the detailed pattern of covert search performance in the white-noise backgrounds. Finally, I will describe predictions of the theory for search in natural images.

PMID:35120200 | DOI:10.1167/jov.22.3.60

Anesthesiology. 2022 Feb 4. doi: 10.1097/ALN.0000000000004095. Online ahead of print.

ABSTRACT

BACKGROUND: The wakeful brain can easily access and coordinate a large repertoire of different states-dynamics suggestive of “criticality.” Anesthesia causes loss of criticality at the level of electroencephalogram waveforms, but the criticality of brain network connectivity is less well studied. The authors hypothesized that propofol anesthesia is associated with abrupt and divergent changes in brain network connectivity for different frequencies and time scales-characteristic of a phase transition, a signature of loss of criticality.

METHODS: As part of a previously reported study, 16 volunteers were given propofol in slowly increasing brain concentrations, and their behavioral responsiveness was assessed. The network dynamics from 31-channel electroencephalogram data were calculated from 1 to 20 Hz using four phase and envelope amplitude-based functional connectivity metrics that covered a wide range of time scales from milliseconds to minutes. The authors calculated network global efficiency, clustering coefficient, and statistical complexity (using the Jensen-Shannon divergence) for each functional connectivity metric and compared their findings with those from an in silico Kuramoto network model.

RESULTS: The transition to anesthesia was associated with critical slowing and then abrupt profound decreases in global network efficiency of 2 Hz power envelope metrics (from mean ± SD of 0.64 ± 0.15 to 0.29 ± 0.28 absolute value, P < 0.001, for medium; and from 0.47 ± 0.13 to 0.24 ± 0.21, P < 0.001, for long time scales) but with an increase in global network efficiency for 10 Hz weighted phase lag index (from 0.30 ± 0.20 to 0.72 ± 0.06, P < 0.001). Network complexity decreased for both the 10 Hz hypersynchronous (0.44 ± 0.13 to 0.23 ± 0.08, P < 0.001), and the 2 Hz asynchronous (0.73 ± 0.08 to 0.40 ± 0.13, P < 0.001) network states. These patterns of network coupling were consistent with those of the Kuramoto model of an order-disorder phase transition.

CONCLUSIONS: Around loss of behavioral responsiveness, a small increase in propofol concentrations caused a collapse of long time scale power envelope connectivity and an increase in 10 Hz phase-based connectivity-suggestive of a brain network phase transition.

PMID:35120195 | DOI:10.1097/ALN.0000000000004095

PLoS One. 2022 Feb 4;17(2):e0263788. doi: 10.1371/journal.pone.0263788. eCollection 2022.

ABSTRACT

BACKGROUND: With the aim of increasing benefits and decreasing harms, risk-based breast cancer screening has been proposed as an alternative to age-based screening. This study explores barriers and facilitators to implementing a risk-based breast cancer screening program from the perspective of health professionals, in the context of a National Health Service.

METHODS: Socio-constructivist qualitative research carried out in Catalonia (Spain), in the year 2019. Four discussion groups were conducted, with a total of 29 health professionals from primary care, breast cancer screening programs, hospital breast units, epidemiology units, and clinical specialties. A descriptive-interpretive thematic analysis was performed.

RESULTS: Identified barriers included resistance to reducing the number of screening exams for low-risk women; resistance to change for health professionals; difficulties in risk communication; lack of conclusive evidence of the benefits of risk-based screening; limited economic resources; and organizational transformation. Facilitators include benefits of risk-based strategies for high and low-risk women; women’s active role in their health care; proximity of women and primary care professionals; experience of health professionals in other screening programs; and greater efficiency of a risk-based screening program. Organizational and administrative changes in the health system, commitment by policy makers, training of health professionals, and educational interventions addressed to the general population will be required.

CONCLUSIONS: Despite the expressed difficulties, participants supported the implementation of risk-based screening. They highlighted its benefits, especially for women at high risk of breast cancer and those under 50 years of age, and assumed a greater efficiency of the risk-based program compared to the aged-based one. Future studies should assess the efficiency and feasibility of risk-based breast cancer screening for its transfer to clinical practice.

PMID:35120169 | DOI:10.1371/journal.pone.0263788

PLoS One. 2022 Feb 4;17(2):e0263006. doi: 10.1371/journal.pone.0263006. eCollection 2022.

ABSTRACT

Biomedical research is inseparable from the analysis of various histopathological images, and hematoxylin-eosin (HE)-stained images are one of the most basic and widely used types. However, at present, machine learning based approaches of the analysis of this kind of images are highly relied on manual labeling of images for training. Fully automated processing of HE-stained images remains a challenging task due to the high degree of color intensity, size and shape uncertainty of the stained cells. For this problem, we propose a fully automatic pixel-wise semantic segmentation method based on pseudo-labels, which concerns to significantly reduce the manual cell sketching and labeling work before machine learning, and guarantees the accuracy of segmentation. First, we collect reliable training samples in a unsupervised manner based on K-means clustering results; second, we use full mixup strategy to enhance the training images and to obtain the U-Net model for the nuclei segmentation from the background. The experimental results based on the meningioma pathology image dataset show that the proposed method has good performance and the pathological features obtained statistically based on the segmentation results can be used to assist in the clinical grading of meningiomas. Compared with other machine learning strategies, it can provide a reliable reference for clinical research more effectively.

PMID:35120175 | DOI:10.1371/journal.pone.0263006

PLoS One. 2022 Feb 4;17(2):e0263121. doi: 10.1371/journal.pone.0263121. eCollection 2022.

ABSTRACT

PURPOSE: To quantify changes in corneal densitometry after long-term orthokeratology treatment in myopic children and to analyze the reversibility one month after discontinuation.

METHODS: Seventy-four myopic subjects aged 8-16 years, who wore orthokeratology lenses for two years, were divided into relatively steep- (lens movement within 1.0-1.5 mm, thirty-six participants) and flat-fitting groups (lens movement within 1.5-2.0 mm, thirty-eight participants). Based on refractive errors, they were divided into low and moderate myopia groups (thirty-seven participants in each group). Corneal densitometry was performed using Pentacam (Oculus Optikgeräte GmbH, Wetzlar, Germany) at each follow-up timepoint. Repeated-measures analysis of variance was used to compare the parameters before and after orthokeratology.

RESULTS: The corneal densitometry values over the 0-10 mm diameter area increased from 12.84±1.38 grayscale units (GSU) at baseline to 13.59±1.42 GSU after three-month orthokeratology (P = .001) and reached 14.92±1.45 GSU at two years (P < .001). An increase in densitometry began at one month (P = .001) over the 0-2 mm annulus compared with that at three months over the 2-6 mm and 6-10 mm zones (P = .002,.014). The densitometry values significantly increased at three months in the relatively steep-fitting group (P = .003) and at one year in the relatively flat-fitting group (P = .001). After discontinuation of orthokeratology for one month, the values showed no significant decrease.

CONCLUSIONS: Long-term orthokeratology treatment causes a small but statistically significant increase in corneal densitometry values. During the first year, the onset of these changes was related to the fitting mode. Corneal densitometry values showed no significant reduction after one-month discontinuation.

PMID:35120161 | DOI:10.1371/journal.pone.0263121

PLoS One. 2022 Feb 4;17(2):e0263494. doi: 10.1371/journal.pone.0263494. eCollection 2022.

ABSTRACT

Measurement of external load in players provides objective information to optimise the weekly balance between training and recovery to improve performance and prevent injuries. Our aim was to evaluate the incidence of sports-related muscle injuries of the lower limb in relation to external load, measured by global positioning system (GPS), in football players. A descriptive study was carried out. Data were collected from 71 professional male football players (30 professionals and 41 youth players) from an elite football club competing in the Spanish and European League in the 2017-2018 season. As external load variables, we measured High Metabolic Load Distance (HMLD), High Speed Running (HSR), Player Load (PL), and Total Distance (TD) through GPS. Injury rate (IR) was calculated both in relation to such GPS load metrics and to load exposure time. We considered categories (youth and professional), playing positions (centre back, full back, midfielder, and forward), and training day with respect to match-day (-4MD, -3MD, -2MD, -1MD, MD, +1MD, +2MD). The GPS load metrics HMLD, HSR, PL, and TD showed very similar patterns across categories and positions, but varied according to training session or MD. The highest loads were observed on MD and three days prior to the match (-3MD). Similarly, the overall IR, both calculated per load exposure time and per GPS load metrics, was highest on MD and -3MD. Again, no differences were observed between youth and professional players. Midfielders demonstrated the highest IR in all metrics, followed by the forwards. In conclusion, this study suggests that external load and incidence of muscle injuries are directly proportional. Therefore, the measurement of more external load variables other than load exposure time, such as the GPS metrics HMLD, HSR, PL, and TD may help to describe the pattern and magnitude of injuries. Future studies based on ours may help to further improve the understanding of the incidence of muscle injuries on the basis of external loads measurements in different football teams.

PMID:35120156 | DOI:10.1371/journal.pone.0263494