Rethinking the Body in the Brain after Spinal Cord Injury

Spinal cord injuries (SCI) are disruptive neurological events that severly affect the body leading to the interruption of sensorimotor and autonomic pathways. Recent research highlighted SCI-related alterations extend beyond than the expected network, involving most of the central nervous system and goes far beyond primary sensorimotor cortices. The present perspective offers an alternative, useful way to interpret conflicting findings by focusing on the deafferented and deefferented body as the central object of interest. After an introduction to the main processes involved in reorganization according to SCI, we will focus separately on the body regions of the head, upper limbs, and lower limbs in complete, incomplete, and deafferent SCI participants. On one hand, the imprinting of the body’s spatial organization is entrenched in the brain such that its representation likely lasts for the entire lifetime of patients, independent of the severity of the SCI. However, neural activity is extremely adaptable, even over short time scales, and is modulated by changing conditions or different compensative strategies. Therefore, a better understanding of both aspects is an invaluable clinical resource for rehabilitation and the successful use of modern robotic technologies.

The Temporal Aspect of Bodily Experiences of Emotions: Where do You Feel The First Sensation?

Recently, body maps have increasingly been used to identify patterns in respect of the location of the physical sensations elicited by emotions. However, in addition to understanding how emotions are topographically manifest in the body, it is important to add a temporal aspect to deepen the interoceptive study of emotions. Therefore, the present study sought to explore the first perceived sensation. The study sample comprised a group of mindfulness practitioners (n=34) and a group of non-practitioners (n=64) to analyze if there was any difference in their perceptions of emotion. Participants were instructed to evoke five basic emotions (fear, disgust, anger, sadness, joy), and as soon as they became aware of where they felt the emotions start to emerge, were instructed to interrupt the observation and to indicate the region in a diagram of a human figure. Overall, the groups did not differ in the body regions identified for each emotion. Cochran's Q-test showed that the main regions mentioned were the head and the chest. In the case of disgust, the neck, rather than the chest, along with the lower part of the head were the most cited. The most cited regions corresponded to those identified in other studies of body topography as perceived with the greatest increase in activity in response to emotional stimuli. Regarding interoceptive awareness, the independent t-test verified that the mindfulness group scored significantly higher in all subscales of the Brazilian Portuguese version of the 37-item Multidimensional Assessment of Interoceptive Awareness questionnaire compared to the non-mindfulness group.

The Temporal Aspect of Bodily Experiences of Emotions: Where do You Feel The First Sensation?

Recently, body maps have increasingly been used to identify patterns in respect of the location of the physical sensations elicited by emotions. However, in addition to understanding how emotions are topographically manifest in the body, it is important to add a temporal aspect to deepen the interoceptive study of emotions. Therefore, the present study sought to explore the first perceived sensation. The study sample comprised a group of mindfulness practitioners (n=34) and a group of non-practitioners (n=64) to analyze if there was any difference in their perceptions of emotion. Participants were instructed to evoke five basic emotions (fear, disgust, anger, sadness, joy), and as soon as they became aware of where they felt the emotions start to emerge, were instructed to interrupt the observation and to indicate the region in a diagram of a human figure. Overall, the groups did not differ in the body regions identified for each emotion. Cochran's Q-test showed that the main regions mentioned were the head and the chest. In the case of disgust, the neck, rather than the chest, along with the lower part of the head were the most cited. The most cited regions corresponded to those identified in other studies of body topography as perceived with the greatest increase in activity in response to emotional stimuli. Regarding interoceptive awareness, the independent t-test verified that the mindfulness group scored significantly higher in all subscales of the Brazilian Portuguese version of the 37-item Multidimensional Assessment of Interoceptive Awareness questionnaire compared to the non-mindfulness group.

Non-Invasive Assessment of Mild Stress-Induced Hyperthermia by Infrared Thermography in Laboratory Mice

Stress-induced hyperthermia (SIH) is a physiological response to acute stressors in mammals, shown as an increase in core body temperature, with redirection of blood flow from the periphery to vital organs. Typical temperature assessment methods for rodents are invasive and can themselves elicit SIH, affecting the readout. Infrared thermography (IRT) is a promising non-invasive alternative, if shown to accurately identify and quantify SIH. We used in-house developed software ThermoLabAnimal 2.0 to automatically detect and segment different body regions, to assess mean body (Tbody) and mean tail (Ttail) surface temperatures by IRT, along with temperature (Tsc) assessed by reading of subcutaneously implanted PIT-tags, during handling-induced stress of pair-housed C57BL/6J and BALB/cByJ mice of both sexes (N = 68). SIH was assessed during 10 days of daily handling (DH) performed twice per day, weekly voluntary interaction tests (VIT) and an elevated plus maze (EPM) at the end. To assess the discrimination value of IRT, we compared SIH between tail-picked and tunnel-handled animals, and between mice receiving an anxiolytic drug or vehicle prior to the EPM. During a 30 to 60 second stress exposure, Tsc and Tbody increased significantly (p < 0.001), while Ttail (p < 0.01) decreased. We did not find handling-related differences. Within each cage, mice tested last consistently showed significantly higher (p < 0.001) Tsc and Tbody and lower (p < 0.001) Ttail than mice tested first, possibly due to higher anticipatory stress in the latter. Diazepam-treated mice showed lower Tbody and Tsc, consistent with reduced anxiety. In conclusion, our results suggest that IRT can identify and quantify stress in mice, either as a stand-alone parameter or complementary to other methods.

Basic morphometric parameters of the biostatic donkey body model

The domestic donkey (Equus asinus) has a very specific body construction. It is built in such a way that the mutual relationship of individual body regions enables great work endurance. The fact that this breed of domestic animal originates from wild ancestors, originated and developed in Africa, clearly shows that the breed developed in harsh climatic and ecological conditions that conditioned the appropriate biological response. The biostatic model causes the biodynamic effect, i.e., the production of biokinetic energy. Movement forwards occurs as a consequence of the creation of biokinetic energy and its transfer from the back part of the body, where it originates, to the front part of the body. The most efficient transfer of biokinetic energy is enabled by the existence of an appropriate biostatic model, i.e., body structure, and this leads to a biodynamic effect that is defined as a movement. For the process of movement, the muscles must be well developed. Two muscle groups are distinguished; a) pelvic muscles, b) external hip and croup joint muscles. The basic lever for the transfer of biokinetic energy is the femur. The generated energy is transferred from the hip joint to the thigh muscles, which shortening leads to the movement of the hind leg forward, its leaning against the ground and pushing the whole body forward. The generated biokinetic energy cause the bio kinematic effect, which is characterized as a movement.

Comparison of Previously Injured Body Regions in Elite Freestyle and Greco-Roman Wrestlers

The aim of this study was to compare the injured body regions that elite Freestyle and Greco-Roman wrestlers suffered from and to determine the importance of injuries. 41 Freestyle and 51 Greco-Roman wrestlers, who were practicing in Turkish National Wrestling Team camps, participated in this study. ‘Chi Square’ and student t tests were used in statistical analyses. When examined injury status and body regions distribution between Freestyle and Greco-Roman wrestlers, significant difference was found in head and trunk injuries according to wrestling styles (p<0.05). No difference was found in upper/lower extremities and lesion/scrape and friction burns status of the wrestlers according to wrestling style (p>0.05). There was significant difference in trunk and upper extremity injuries with respect to weight category (p<0.05 and p<0.001). Significant difference was also found in nose injuries according to wrestling styles (p<0.05). When examined wrestling style and upper extremity injuries according to the number of injuries, there was found significant difference between two styles in muscle injuries, finger and wrist injuries (p<0.05). The difference between toe injuries in respect to the wrestling style was statistically significant (p<0.05). Results: Greco-Roman wrestlers experienced more injuries in trunk, head and nose compared to Freestyle wrestlers. Trunk, lower and upper extremity injuries varied depending on weight categories. Neck, back, lumbar and chest injuries were more common in Greco-Roman wrestlers. Freestyle wrestlers were more vulnerable to muscle injuries while Greco-Roman wrestlers were more vulnerable to finger and wrist injuries. It is recommended to improve some abilities excellently such as aerobic power, strength, balance and neuro-motor coordination in wrestling. Techniques should be taught well to the wrestlers, most risky extremities for injury have to be applied extra training and these extremities should be protected from injuries by several tapes, bandages or gears during exercise. Freestyle wrestlers ought to be more careful in diving move. Using ear protector in addition to preventive measures can be recommended during training in order to prevent temporal bone fractures and swellings.

Primary Actinomycosis of the Leg: A Case Report and Literature Review

Actinomycosis is an indolent, slowly progressive, suppurative infection caused by gram-positive branching bacteria of the genus Actinomyces. The disease actinomycosis most commonly occurs in 3 body regions: cervicofacial (55% of patients), abdominopelvic (20%), and pulmonothoracic (15%). Primary infection of an extremity is an uncommon feature of actinomycosis. We present a case of rare primary Actinomycosis of the lower extremity.

Human Body Simulation Within a Hybrid Operating Method for a Safe and Efficient Human-Robot Collaboration

The planning and integration of production systems with a direct human-robot collaboration (HRC) is still associated with various technical challenges. This applies especially to the realization of the operation methods speed and separation monitoring (SSM) as well as power and force limiting (PFL). Due to the limited consideration of the human motion behaviour, the required dynamic separation distance in SSM is frequently oversized in practice. The main consequences are wasted space as well as cycle time and performance losses within the corresponding HRC application. In PFL a physical contact between the operator and robot is permissible, taking into account specified biomechanical thresholds. However, there is still a lack of suitable use-cases since the maximum permissible speeds are on a very low level. Moreover some thresholds regarding the transient contact case are still non-applicable for critical body areas (e.g. temple, middle of forehead). The study of this paper is related to a kinematic state determination of the human operator within a new hybrid collaborative operation. In this method the SSM type is extended regarding the description of the operator and coupled with the two-body contact model of the PFL. Using a planning and simulation tool for HRC, the kinematic states of different body regions are derived from an integrated and parameterized digital human model. Afterwards, these body regions are mapped to the characteristic body areas of the ISO/TS 15066, whereby the resulting information will be applied in an adaptive robot speed control. The performance of the presented concept will be evaluated using an exemplary simulated HRC scenario.

Trunk in Stroke

The trunk is the part of the human body that provides basic mechanical stabilization. It provides strength transmission between the upper and lower body regions. Body control is the ability of the body muscles to maintain the upright posture, to adapt to weight transfers, and to maintain selective trunk and limb movements by maintaining the support surface in static and dynamic postural adjustments. Good proximal trunk control provides better distal limb movements, balance, and functional motion. There are many evaluation methods, devices, and scales for trunk function and performance. 3D kinematic, electromyography, hand-held dynamometer, isokinetic dynamometer, trunk accelerometer are some devices that measure trunk function. The motor assessment scale-trunk subscale, the stroke impairment assessment set- trunk control subscale, trunk control test, trunk impairment scale are the most used scales. This chapter explores the effect of strokes on the trunk.

Automatic body region localization in 3D-CT images based on the improved YOLO model

Automatic body region localization in medical three-dimensional (3D)-CT images is a critical step of computerized body-wide Automatic Anatomy Recognition (AAR) system, which can be applied for radiotherapy planning and interest slices retrieving. Currently, the complex internal structure of human body and time consuming computation are the main challenges for the localization. Therefore, this paper introduces and improves the YOLO-v3 model into the body region localization for these problems. First, seven categories of body regions in a CT volume image I are defined based on the modification version of our previous work. Second, an improved YOLO-v3 model is trained to classify each axial slice into one of the seven categories. Then, the effectiveness of the proposed method is evaluated on 3D-CT images that collected from 220 subjects. The experimental results demonstrate that the slice localizing error is less than 3 NoS (Number of slices), which is competitive to the state-of-the-art methods. Beyond this, our method is simple and computationally efficient owing to its less training time, and the average computational time for localizing a volume CT images is about 3 second, which shows potential for a further application.