Analysis Of Asymmetry Research Articles

Clinical classification of scoliosis patients using machine learning and markerless 3D surface trunk data.

Markerless 3D surface topography for scoliosis diagnosis and brace treatment can avoid repeated radiation known from standard X-ray analysis and possible side effects. Combined with the method of torso asymmetry analysis, curve severity and progression can be evaluated with high reliability. In the current study, a machine learning approach was utilised to classify scoliosis patients based on their trunk surface asymmetry pattern. Frontal X-ray and 3D scanning analysis with a clinical classification based on Cobb angle and spinal curve pattern were performed with 50 patients. Similar as in a previous study, each patient's trunk 3D reconstruction was used for an elastic registration of a reference surface mesh with fixed number of vertices. Subsequently, an asymmetry distance map between original and reflected torso was calculated. A fully connected neural network was then utilised to classify patients regarding their Cobb angle (mild, moderate, severe) and an Augmented Lehnert-Schroth (ALS) classification based on their full torso asymmetry distance map. The results reveal a classification success rate of 90% (SE: 80%, SP: 100%) regarding the curve severity (mild vs moderate-severe) and 50-72% regarding the ALS group. Identifying patient curve severity and treatment group was reasonably possible allowing for a decision support during diagnosis and treatment planning. Graphical abstract.

About bioelectric buffer system of the brain

Objective. Elaboration of objective quantitative criterion of electroencephalogram for estimation of the brain functional state in man.
 Маterials and methods. The background electroencephalograms analysis was conducted in 6 groups of the examined patients with various diagnosis (41 patients at all). Control group consisted of 7 patients, ageing 20 - 56 yrs (average age 35 yrs). Recording of EEG was conducted, using 16-channel electroencephalograph «NeuroCom standart» (KhАI - Меdika, Ukraine) in accordance to international system of recording «10-20». There were analyzed a quantity of meaningful interhemispheric asymmetries in accordance to power of summarized bioelectric signal in bilateral-synchronous points of the head in every group. The analysis time have constituted 1 min.
 Results. There was established, that the least meaningful difference in accordance to the bioelectrical signal power in bilateral-synchronous points of head may be considered in 1.4 times. Quantity of meaningful interhemispheric asymmetries in man may vary in large diapason - from 9 tо 25. Not all meaningful interhemispheric asymmetries in accordance to power of signals of separate rhythms are preserved while doing analysis of meaningful interhemispheric asymmetries in accordance to power of a summarized bioelectrical signal. Interhemispheric asymmetries in accordance to power of the summarized bioelectric signal in bilateral-synchronous points of the head may have more important informative meaning, than interhemispheric asymmetry in accordance to the signals power of separate rhythms.
 Conclusion. Quantity of meaningful interhemispheric asymmetries in accordance to power of signals of separate rhythms in healthy persons may vary from 16 tо 18. The interhemispheric asymmetries quantity reduction in accordance to power of the summarized bioelectric signal, comparing with quantity of interhemispheric asymmetries in accordance to power of signals of separate rhythms more than in 4 times, witnesses presence of the brain bioelectrical buffer system.

Chromosome diversity and karyotype asymmetry analysis in four cultivated triploid and three diploid wild genotypes of Musa from North-East India

Ploidy and karyotype asymmetry of four cultivated Musa acuminata var. Luwaobi, var. Masung Tabi, var. Gopi and var. Poitrish Kola (2n = 3x = 33) and three wild seeded M. acuminata var. Ram Kola, Musa balbisiana var. Blung Thali and Musa laterita (2n = 2x = 22) were reported for the first time from North East India. The predominance of median constricted chromosomes was found as compared to sub-median constricted chromosome in all genotypes. The average chromosome length varied from 1.55 μm in var. Luwaobi to 1.92 μm in var. Ram Kola. Symmetric karyotype was recorded in the wild as compared to the cultivated Musa genotypes. Out of the twelve inter- and intra-chromosomal asymmetry indices studied, intra-chromosomal asymmetry index (A1) versus inter-chromosomal asymmetry index (A2), relative variation in the centromeric index (CVCI) versus relative variation in chromosome length (CVCL) and heterogeneity of chromosome length (AI) versus dispersion index were found most reliable to assess chromosome asymmetry. Most symmetric karyotype was found in var. Poitrish Kola of Tripura and most asymmetric karyotype was found in var. Luwaobi of Manipur among cultivated genotypes. Genotype var. Ram Kola showed more karyotype asymmetry among the wild Musa as compared to var. Blung Thali of Tripura and M. laterita of Sikkim. Phylogenetic tree obtained from chromosome characters revealed that var. Ram Kola has ancestral karyotype and was found to be distantly related from the others. Two wild seeded genotypes M. balbisiana var. Blung Thali and M. laterita were found to have close relationship with AB genome suggesting the phylogenetic ancestry with AA or AAA genotypes.

Analysis of distinct asymmetries in financial integration‐growth nexus for industrial, emerging and developing countries

AbstractThis paper examines the threshold conditions in financial integration and growth relationship for a large set of threshold variables and different income group of countries employing Panel Smooth Transition Regression Models. Except developing countries, our findings strongly indicate nonlinear dynamics and imply that the impact of financial integration on growth is asymmetric depending on a number of indicators such as countries' degree of institutional quality, financial sector development, trade openness, budget deficit, inflation volatility and the level of financial integration. Our results show that these threshold effects substantially differ for emerging and industrial countries. As far as whole set of countries is concerned, our findings imply that countries having developed financial systems, qualified institutions and stable macroeconomic environment benefit from financial integration. Moreover, threshold effects are stronger and different for emerging countries compared to the industrial countries. Unlike emerging economies, higher levels of financial integration and trade openness decrease benefits from financial openness for the industrial countries. Besides, high fiscal deficit has more pronounced negative effect on the growth of the industrialized countries compared to emerging economies and other indicators.

Thermal Imaging Techniques for Breast Screening - A Survey.

Breast cancer is the second leading cause of cancer death among women preceded by cervix cancer. It has been reported that at the early stage of detection there is 85% chance of getting cured, whereas only 10% chance at later stage diagnosis. The current screening modalities are expensive, they have intricate imaging measures and they are unhealthy due to radiation exposure. Therefore, a screening tool that is non-invasive, has no connection with the body, free from radiation, such as Medical Thermography is necessary. It is reported that the sensitivity and specificity of medical thermography are high largely in dense breast tissues. The clinical interpretation primarily depends on the asymmetrical analysis of these thermograms subjectively. The appearance of an asymmetric thermal image may indicate the pathological conditions. For earlier detection of breast cancer, it is essential to identify the advanced methods in image processing techniques which enhance the significance of diagnostics. In that analysis, the required breast region is unglued from the background image. The segmented image is separated into symmetrical left and right breast tissues. The statistical and histogram features extracted from both regions are used to identify the abnormal thermograms using machine learning algorithms. From literature, it is reported that the thermal images are inherently low contrast images and have low single to noise ratio. Moreover, they are amorphous in nature and no clear edges are seen. The difficulty lies in the detection of lower breast boundaries and inframammary folds. So, in general, the first attempt is made in improving the signal to noise ratio and contrast of the image which helps to extract the true regions of breast tissues. Then, asymmetry analysis of the normal and abnormal breast tissues is performed using different techniques. This work demonstrates the review of a few image processing methods or the development which are elaborated in the detection of breast cancer from thermal images.

Asymmetry analysis of optical coherence tomography angiography macular perfusion density measurements in preperimetric and perimetric glaucoma

Macular retinal layer thickness asymmetry indices, particularly for the ganglion cell layer, are promising early indicators of glaucomatous damage. We evaluated macular perfusion density asymmetry (MPDA) among normal, preperimetric glaucoma (PPG), and perimetric glaucoma (PG) eyes, and we tested the performance of MPDA in differentiating between control and glaucoma eyes with or without visual field (VF) defects. In this study, 116 eyes (39 normal, 27 PPG, and 50 PG eyes) with optical coherence tomography angiography images of the macula were analysed. No significant difference was found in outer and inner MPDA between the control and PPG groups. However, outer MPDA was significantly higher in the PG group than in the PPG group (p = 0.009). Asymmetry of perfusion density and structural parameters was compared; no significant difference was found between controls and glaucoma patients. Outer MPDA had significantly higher discrimination ability between PPG and PG than did macular ganglion cell layer–inner plexiform layer thickness asymmetry (p = 0.039). In conclusion, the discriminant capability of MPDA for discriminating between glaucoma patients with and without VF defects is significantly higher than that of structural asymmetry. MPDA may be helpful in monitoring glaucoma progression in clinical practice.

Brain MR image classification for Alzheimer’s disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses

Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative condition whose development is characterized by lateralized brain atrophies. In AD, the hippocampus is the first brain structure to present atrophy, which, although to a lesser extent, is also a precursor to the broader asymmetrical development of the human brain. Structural magnetic resonance (MR) imaging is capable of detecting the disease-induced anatomical changes in the brain, thus aiding the diagnosis of AD. MR image attributes extracted from the hippocampal regions are commonly used for the AD classification task. However, most of the published methods do not explore hippocampal asymmetries for image classification. In this study, we propose a new technique for performing the classification of MR images for AD using only hippocampal asymmetrical attributes. By using the new proposed asymmetry index (AI), we assessed the attributes and the ones that passed the analysis of variance test, i.e., showing statistically mean differences among the classes (CN, MCI, and AD), were selected for classification. As a result of our study, the statistical analysis of our AI has shown a significant increase in hippocampal asymmetry as disease progress (CN < MCI < AD). Moreover, for the classification using clinical MR images, we obtained accuracy values of 69.44% and 82.59%; and AUC values of 0.76 and 0.9 for CN × MCI and CN × AD, respectively. Last, we found the results of our asymmetry analysis consistent with other statistical assessments and our classification results, using only asymmetry attributes comparable to (or even higher than) existing hippocampus studies.

Two-dimensional small-angle scattering from single particles in infrared with a lensless technique

An experiment is described where two-dimensional small-angle light scattering (2D-SALS) patterns from single particles are measured in the infrared through a lens-free approach. Spatial filtering is employed to separate scattered light from unscattered light to within approximately one degree from the forward direction. Non-planar reflective elements are used in the filtering process, permitting 2D-SALS measurements to be done without chromatic aberrations over a broad spectral range and from 0.8 to 8 degrees in the polar scattering angle and zero to 360 degrees in the azimuthal angle. Patterns from spherical microparticles are presented along with nonspherical particles including volcanic ash and salt. An asymmetry analysis is applied to demonstrate an ability to differentiate spherical from nonspherical particles from the 2D-SALS patterns.

Are the effects of exchange‐rate volatility on commodity trade between the U.S. and Mexico symmetric or asymmetric?

AbstractRecent advances in nonlinear modeling or asymmetry analysis have revealed that nonlinear models produce more significant results compared to linear models. Only one study has demonstrated this with establishing the link between exchange rate volatility and trade flows. We add to the body of literature by considering the possibility of asymmetric effects of exchange rate volatility on commodity trade between Mexico and the U.S. After considering a total of 95 U.S. exporting industries to Mexico and 89 U.S. importing industries from Mexico, we find evidence of short‐run asymmetric effects in 54 exporting and 46 importing industries. Short‐run asymmetric effects translate into long‐run asymmetric effects in 44 exporting and 47 importing industries. These asymmetric effects were masked by the linear model which assumes the effects to be symmetric and they have different implication for different industries.

18F]FEPPA PET imaging for monitoring CD68-positive microglia/macrophage neuroinflammation in nonhuman primates

PurposeThe aim of this study was to examine whether the translocator protein 18-kDa (TSPO) PET ligand [18F]FEPPA has the sensitivity for detecting changes in CD68-positive microglial/macrophage activation in hemiparkinsonian rhesus macaques treated with allogeneic grafts of induced pluripotent stem cell-derived midbrain dopaminergic neurons (iPSC-mDA).MethodsIn vivo positron emission tomography (PET) imaging with [18F]FEPPA was used in conjunction with postmortem CD68 immunostaining to evaluate neuroinflammation in the brains of hemiparkinsonian rhesus macaques (n = 6) that received allogeneic iPSC-mDA grafts in the putamen ipsilateral to MPTP administration.ResultsBased on assessment of radiotracer uptake and confirmed by visual inspection of the imaging data, nonhuman primates with allogeneic grafts showed increased [18F]FEPPA binding at the graft sites relative to the contralateral putamen. From PET asymmetry analysis of the images, the mean asymmetry index of the monkeys was AI = − 0.085 ± 0.018. Evaluation and scoring of CD68 immunoreactivity by an investigator blind to the treatment identified significantly more neuroinflammation in the grafted areas of the putamen compared to the contralateral putamen (p = 0.0004). [18F]FEPPA PET AI showed a positive correlation with CD68 immunoreactivity AI ratings in the monkeys (Spearman’s ρ = 0.94; p = 0.005).ConclusionThese findings reveal that [18F]FEPPA PET is an effective marker for detecting increased CD68-positive microglial/macrophage activation and demonstrates sufficient sensitivity to detect changes in neuroinflammation in vivo following allogeneic cell engraftment.

Application of Artificial Intelligence for Real-Time Facial Asymmetry Analysis.

Application of Artificial Intelligence for Real-Time Facial Asymmetry Analysis.

Spatial Analysis of Asymmetry in the Development of Tourism Infrastructure in the Borderlands: The Case of the Bystrzyckie and Orlickie Mountains

This paper discusses the issue of analyzing the development of cross-border tourism infrastructure in the borderlands of countries with diversified administrative divisions and spatial databases, which hinders the use of national statistical units for comparative research. As an example, the ability to use the square grid and kernel density estimation methods for the analysis and spatial visualization of the level of tourism infrastructure development is studied for the Orlickie and Bystrzyckie Mountains, located in the Polish–Czech border area. To synthetically assess and compare the level of diversity, the methodology used in the Human Development Index was adapted using selected component indicators calculated for a square grid clipped to the boundaries of the area under study. This analysis enabled us to quantify the asymmetry in the development of tourism infrastructure in the borderlands via the calculation of the synthetic infrastructure development index. This index is 1.29 times higher in the Czech than in the Polish border area. However, the spatial concentration analysis of infrastructure shows that the diversity in the study area can be assessed as higher than the results using the average density indicators. This paper also discusses the benefits and problems associated with using the square grid method for the representation and analysis of heterogeneous data on tourism infrastructure in two neighboring national states.

A deep learning approach for magnetization transfer contrast MR fingerprinting and chemical exchange saturation transfer imaging

Semisolid magnetization transfer contrast (MTC) and chemical exchange saturation transfer (CEST) MRI based on MT phenomenon have shown potential to evaluate brain development, neurological, psychiatric, and neurodegenerative diseases. However, a qualitative MT ratio (MTR) metric commonly used in conventional MTC imaging is limited in the assessment of quantitative semisolid macromolecular proton exchange rates and concentrations. In addition, CEST signals measured by MTR asymmetry analysis are unavoidably contaminated by upfield nuclear Overhauser enhancement (NOE) signals of mobile and semisolid macromolecules. To address these issues, we developed an MTC-MR fingerprinting (MTC-MRF) technique to quantify tissue parameters, which further allows an estimation of accurate MTC signals at a certain CEST frequency offset. A pseudorandomized RF saturation scheme was used to generate unique MTC signal evolutions for different tissues and a supervised deep neural network was designed to extract tissue properties from measured MTC-MRF signals. Through detailed Bloch equation-based digital phantom and in vivo studies, we demonstrated that the MTC-MRF can quantify MTC characteristics with high accuracy and computational efficiency, compared to a conventional Bloch equation fitting approach, and provide baseline reference signals for CEST and NOE imaging. For validation, MTC-MRF images were synthesized using the tissue parameters estimated from the deep-learning method and compared with experimentally acquired MTC-MRF images as the reference standard. The proposed MTC-MRF framework can provide quantitative 3D MTC, CEST, and NOE imaging of the human brain within a clinically acceptable scan time.

Structural and functional motor cortex asymmetry in unilateral lower limb amputation with phantom limb pain

ObjectiveThe role of motor cortex reorganization in the development and maintenance of phantom limb pain (PLP) is still unclear. This study aims to evaluate neurophysiological and structural motor cortex asymmetry in patients with PLP and its relationship with pain intensity. MethodsCross-sectional analysis of an ongoing randomized-controlled trial. We evaluated the motor cortex asymmetry through two techniques: i) changes in cortical excitability indexed by transcranial magnetic stimulation (motor evoked potential, paired-pulse paradigms and cortical mapping), and ii) voxel-wise grey matter asymmetry analysis by brain magnetic resonance imaging. ResultsWe included 62 unilateral traumatic lower limb amputees with a mean PLP of 5.9 (SD = 1.79). We found, in the affected hemisphere, an anterior shift of the hand area center of gravity (23 mm, 95% CI 6 to 38, p = 0.005) and a disorganized and widespread representation. Regarding voxel-wise grey matter asymmetry analysis, data from 21 participants show a loss of grey matter volume in the motor area of the affected hemisphere. This asymmetry seems negatively associated with time since amputation. For TMS data, only the ICF ratio is negatively correlated with PLP intensity (r = −0.25, p = 0.04). ConclusionThere is an asymmetrical reorganization of the motor cortex in patients with PLP, characterized by a disorganized, widespread, and shifted hand cortical representation and a loss in grey matter volume in the affected hemisphere. This reorganization seems to reduce across time since amputation. However, it is not associated with pain intensity. SignificanceThese findings are significant to understand the role of the motor cortex reorganization in patients with PLP, showing that the pain intensity may be related with other neurophysiological factors, not just cortical reorganization.

Influence of local food attributes and perceived benefits on post‐tasting responses through tourists' local food consumption

AbstractThis study aims to identify experience of international food tourists in Hong Kong. More specifically, it was to analyze the functions of local food attributes and benefits from local food consumption on satisfaction, behavioral intention, and destination familiarity. The adopted methods used to achieve the objectives were impact‐range performance analysis (IRPA) and impact asymmetry analysis (IAA). After undertaking a survey using a sample of international tourists in Hong Kong, a total of 1,184 questionnaires were employed for data analyzes. Results of exploratory factor analyzes generated three domains of local food attributes and two domains of benefits sought from tasting local foods. Unlike multiple regression analyzes, IRPA and IAA produced various results for marketing implications. For example, epistemic benefit was classified as a “satisfier,” whereas food novelty attribute, emotional benefit, and food quality attribute were labeled as “dissatisfiers.” In addition, restaurant quality attribute was considered a “frustrator.” Thus, the three dependent variables have different roles in explaining local food attributes and consumption benefits.

Long-term analysis of the Antarctic total ozone zonal asymmetry by MERRA-2 and CMIP6 data

Objectives. To analyze ozone monthly mean data from the MERRA-2 reanalysis and CMIP6 model. To determine Antarctic ozone asymmetry climatology for austral spring months (September, October, November) over the 1980–2014 period. Methods. Processing and visualization of the MERRA-2, CMIP6 data on total ozone and ozone partial pressure, following analysis, interpretation, and comparison. Getting 2D (total ozone column) and 3D (ozone partial pressure) monthly mean ozone values for the zonal band (0°–90° S) at pressure levels (1000–0.1 hPa) for each month of the chosen period. Calculating climatology of the total ozone and ozone partial pressure. Comparison of model and reanalysis of results. Results. The amplitude of ozone zonal asymmetry was calculated to provide the monthly, latitudinal, longitudinal and altitudinal analysis. It is shown that the largest ozone zonal asymmetry is observed in spring, especially in October, with dominant wave-1 structure with zonal minimum over 0°–90° W, and maximum over 120°–180° E longitudinal sectors. The area with high ozone content is located at the 40°–80° S zonal band and gradually shifts to the south from September to November. The model underestimates amplitude of ozone zonal asymmetry, especially in October. Conclusions. Latitudinal mean maximums in zonal mean ozone distribution are observed over 62° S, in October over 66° S, and in November over 68° S for MERRA-2 and over 64° S, 65° S and 66° S respectively for CMIP6. The poleward shift of ozone latitude maximum continues until March with decreasing of ozone level, but in April, the shift reverses its direction to equatorward and ozone level starts to increase, however in the model this process is slower. In September the shift again becomes poleward. In the longitudinal distribution wave-1 pattern dominates with a shift of longitude ozone minimum. From September to October the shift is eastward, and from October to November westward by MERRA-2 data and only eastward by CMIP6 data. The highest difference in altitude ozone distribution is observed during October in the stratosphere between ozone zonal minimum and maximum points and reaches approximately 68% (44%) of the zonal average value at 65° S (65.4° S) by MERRA-2 (CMIP6) data. MERRA-2 profiles unlike CMIP6 one show higher location of altitudinal maximum over the zonal minimum and lower over the zonal maximum with the zonal mean in the middle. All three CMIP6 profiles have the same height of altitude maximum.

70 Years of Chromospheric Solar Activity and Dynamics

Abstract From 1915 to 1985 the monitoring program of the Mount Wilson Observatory, one of the Observatories of the Carnegie Institution of Washington, has taken over 35,000 daily images (spectroheliograms) of the Sun in the chromospheric resonance line of Ca ii K. This important database constitutes a unique resource for a variety of retrospective analyses of the state of solar magnetism on multidecadal timescales. These observations may also hold the key for untangling some of the mysteries behind the solar dynamo, which in turn could result in a better predictive capability for current dynamo models. We describe here a procedure to calibrate and rescale these images so that homogeneous Carrington synoptic maps can be derived for the whole period covered by these observations. Temporal variations in full-disk chromospheric activity clearly show the signature of the 11 yr solar cycle, but no evidence is found for a statistically significant north/south hemispheric asymmetry. Using a feature-tracking technique we were also able to obtain the average solar rotation profile. We find no indication of any detectable periodicity in the temporal behavior of the orthogonalized rotation rate coefficients, suggesting the global chromospheric dynamics has not changed during the 70 years investigated in this work. We found also no significant evidence in our analysis for a hemispheric asymmetry in rotation rates.

Type-I seesaw with eV-scale neutrinos

We consider seesaw type-I models including at least one (mostly-)sterile neutrino with mass at the eV scale. Three distinct situations are found, where the presence of light extra neutrinos is naturally justified by an approximately conserved lepton number symmetry. To analyse these scenarios consistently, it is crucial to employ an exact parametrisation of the full mixing matrix. We provide additional exact results, including generalised versions of the seesaw relation and of the Casas-Ibarra parametrisation, valid for every scale of seesaw. We find that the existence of a light sterile neutrino imposes an upper bound on the lightest neutrino mass. We further assess the impact of light sterile states on short- and long-baseline neutrino oscillation experiments, emphasise future detection prospects, and address CP Violation in this framework via the analysis of CP asymmetries and construction of weak basis invariants. The proposed models can accommodate enough active-sterile mixing to play a role in the explanation of short-baseline anomalies.

Bilateral torque asymmetry analysis of lower limbs of active and insufficiently active older adults

BACKGROUND:Physical activity is an important tool for positively impacting physical, cognitive, and social aspects and is linked to the capacity to develop muscle strength and power. However, no studies have observed the effects of physical activity on the bilateral torque asymmetry at different movement velocities in older adults.&#x0D; AIM:Investigate the effects of different angular velocities on bilateral torque asymmetry for hip, knee, and ankle joints in active and insufficiently active older adults.&#x0D; METHOD:Forty-four older adults were distributed into two groups: active and insufficiently active. An isokinetic dynamometer was used. The tests consisted of maximal concentric contractions of hip, knee, and ankle flexors and extensors at velocities of 60º/s and 120º/s. The variables were asymmetry of peak torque and of mean power.&#x0D; RESULTS:Results showed greater asymmetry in hip extension and ankle flexion for peak torque and mean power, as well as increased asymmetry in flexion movement at the higher angular velocity compared with the lower angular velocity for the mean power. Furthermore, there were no differences in asymmetry between groups.&#x0D; CONCLUSION:The conclusion of the present study was that older adults showed similar behavior for bilateral torque asymmetry, regardless of the level of physical activity.

The study of functional asymmetry in students and schoolchildren practicing martial arts

Background and Study Aim. The study of functional asymmetry in students and schoolchildren practicing martial arts using a computer test. Material and Methods. The study involved students and schoolchildren (n = 38) practicing the martial arts (taekwondo, karate). Participants were divided into groups according to the sports’ skill level. The first group included experienced athletes (n = 15, age – 19.00 ± 0.45 years). The second group included beginners (n = 23, age - 9.78 ± 0.65 years). The functional asymmetry was determined using «Reaction SM Dual» software for tablets with iOS. Two visual tests were used. The duration of each test was 100 s. Each test was divided into 5 stages. Each stage lasts 20 s. The first test (simple reaction) – the participant pushes against the circles on the screen with two hands. The second test (differentiated reaction) – the participant pushes against the circles of the same color (out of five possible) on the screen. The following indicators were determined: the number of pushes with the right and left hand (abs); reaction time with the right and left hand (s); duration of pushes with the right and left hand (ms). It was estimated the following indicators: total number of pushes; average reaction time; average duration of pushes. Results are estimated using parametric and nonparametric statistical indicators. Results. The number of pushes in the test, the reaction rate, and the duration of pushes were significantly higher in experienced athletes. It was determined the asymmetry due to the lower duration of pushes with the right hand compared to the left hand in beginners. The asymmetry was not confirmed in experienced athletes. The reaction rate for the left hand significantly increased compared to stage 1 in beginners: at stage 2 (t = -2.41), at stage 3 (t = -2.23), at stage 4 (t = -2.30) and at stage 5 (t = -2.68). This dependency was less expressed for the right hand. It was confirmed the increase of the reaction rate in comparison with stage 1: at stage 3 (t = -2.39), at stage 4 (t = -2.00) and at stage 5 (t = -2.32). The differences in the dynamics of the test were more expressed in experienced athletes. It was determined the decrease in the number of pushes compared to stage 1: stage 2 (t = 2.53), stage 4 (t = 2.89) and stage 5 (t = 2.61). For the right hand, this pattern was more expressed. The decrease in the number of pushes was determined compared with stage 1: stage 2 (t = 2.17), stage 3 (t = 2.07), stage 4 (t = 2.39) and stage 5 (t = 2.94). Experienced athletes have confirmed significant changes in the reaction rate with their left hand compared to stage 1: stage 4 (t = -2.33) and stage 5 (t = -2.06). For the right hand, this pattern was confirmed only for the final stage of the test (t = -2.35). Conclusions. It was confirmed the legitimacy of using a special computer test to study functional asymmetry in students and schoolchildren practicing martial arts. The test division into several stages can significantly increase the information content of the results. The applied battery of indicators provides the necessary information for the analysis of asymmetry. It was determined the best functional condition of experienced athletes compared to beginners. Experienced athletes demonstrate the best ability to mobilize and concentrate on extreme conditions. The dynamics of the test also confirms the asymmetry in athletes with less training experience. Performing a test with a differentiated stimulus confirmed the revealed patterns. The lack of asymmetry in experienced athletes confirms optimal training tactics. The asymmetry in beginners stipulates the correction of training. Used computer test can be recommended for martial arts athletes’ condition monitoring.