Sensory Tasks Research Articles

Sound Localization Ability in Dogs.

The minimum audible angle (MAA), defined as the smallest detectable difference between the azimuths of two identical sources of sound, is a standard measure of spatial auditory acuity in animals. Few studies have explored the MAA of dogs, using methods that do not allow potential improvement throughout the assessment, and with a very small number of dog(s) assessed. To overcome these limits, we adopted a staircase method on 10 dogs, using a two-forced choice procedure with two sound sources, testing angles of separation from 60° to 1°. The staircase method permits the level of difficulty for each dog to be continuously adapted and allows for the observation of improvement over time. The dogs' average MAA was 7.6°, although with a large interindividual variability, ranging from 1.3° to 13.2°. A global improvement was observed across the procedure, substantiated by a gradual lowering of the MAA and of choice latency across sessions. The results indicate that the staircase method is feasible and reliable in the assessment of auditory spatial localization in dogs, highlighting the importance of using an appropriate method in a sensory discrimination task, so as to allow improvement over time. The results also reveal that the MAA of dogs is more variable than previously reported, potentially reaching values lower than 2°. Although no clear patterns of association emerged between MAA and dogs' characteristics such as ear shape, head shape or age, the results suggest the value of conducting larger-scale studies to determine whether these or other factors influence sound localization abilities in dogs.

Effects on skills and knowledge of a sensory teaching program for culinary students

Culinary practitioners (chefs and healthcare cooks) need tools to systematically assess and improve the sensory quality and acceptance of the food they produce. Sensory science provides these tools to develop, revise and improve foods. However, in the culinary arts educations in Denmark teaching in sensory science is limited. We developed a teaching programme for culinary arts educations, focusing on the use of central practices of sensory science in production kitchens. The teaching programme was tested and developed in dialogue with vocational teachers and culinary students. The material consists of five theoretical and practical teaching modules that cover topics such as the senses, sensory vocabulary development and training, fast sensory methods and factors contributing to palatability. In total, 137 culinary students participated in the teaching programme. The goal was to make culinary students master sensory evaluation techniques and improve their ability to develop food that is liked by consumers. Consequently, these practitioners can improve the sensory quality and acceptance of sustainable and healthy foods. Learning outcomes in a combined sensory knowledge (ten questions) and skills test (eight sensory tasks) were examined. Altogether 89 culinary students participated in both the baseline and follow-up test. Results demonstrate a highly significant effect in both domains. The knowledge scores were significantly higher after than before the course and the scores in the skills tests revealed a significant improvement of culinary students’ vocabulary after completing the course as measured by a higher number and quality of descriptors used to describe four different foods in an open description task. A higher number of descriptors used to describe foods by means of a check-all-that-apply (CATA) sensory descriptive methodology emphasized these findings. Integrating a course on sensory science and methods into the culinary arts educations leads to significant improvement of culinary students’ sensory vocabulary, knowledge and skills. The sensory educational programme is available in Danish with elaborate instructions for teachers through Taste for Life’s online services. Additionally, to train vocational teachers so they can teach it themselves, virtual courses on the sensory educational content were created in 2021 and are accessible online.

Local networks from different parts of the human cerebral cortex generate and share the same population dynamic.

A major goal of neuroscience is to reveal mechanisms supporting collaborative actions of neurons in local and larger-scale networks. However, no clear overall principle of operation has emerged despite decades-long experimental efforts. Here, we used an unbiased method to extract and identify the dynamics of local postsynaptic network states contained in the cortical field potential. Field potentials were recorded by depth electrodes targeting a wide selection of cortical regions during spontaneous activities, and sensory, motor, and cognitive experimental tasks. Despite different architectures and different activities, all local cortical networks generated the same type of dynamic confined to one region only of state space. Surprisingly, within this region, state trajectories expanded and contracted continuously during all brain activities and generated a single expansion followed by a contraction in a single trial. This behavior deviates from known attractors and attractor networks. The state-space contractions of particular subsets of brain regions cross-correlated during perceptive, motor, and cognitive tasks. Our results imply that the cortex does not need to change its dynamic to shift between different activities, making task-switching inherent in the dynamic of collective cortical operations. Our results provide a mathematically described general explanation of local and larger scale cortical dynamic.

Enhanced Dorsal Attention Network to Salience Network Interaction in Video Gamers During Sensorimotor Decision-Making Tasks.

Introduction: Video game playing is most often a perceptually and cognitively engaging activity. Players enter into sensory-rich competitive environments, which require them to go from trivial tasks to making active decisions repeatedly and could lend themselves to improve sensorimotor decision-making capabilities. Since video game playing requires moment-to-moment switching of attention from one aspect of sensory information and task to another, enhanced attention control and attention-switching mechanism in the brain can be thought as the neural basis for such improvements. Previous studies have suggested that attention switching is mediated by the salience network (SN). However, how SN interacts with the dorsal attention network (DAN) in active decision-making tasks and whether video game playing modulates these networks remain to be investigated. Methods: Using a modified version of the left-right moving dot motion task in a functional magnetic resonance imaging experiment, we examined the decision response times (dRTs) and functional interactions within and between SN and DAN for video game players (VGPs) and nonvideo game players (NVGPs). Results: We found that VGPs had lower response times for all task conditions and higher decision accuracy for a medium speed setting of moving dots. Associated with this improved task performance in VGPs compared with NVGPs was an increase in DAN to SN connectivity. This SN-DAN connectivity was negatively correlated with dRT. Discussion: These results suggest that enhanced influence of DAN over SN is the brain basis for improved sensorimotor decision-making performance as a result of engaging long term in cognitively challenging and attention-demanding activities such as video game playing. Impact statement Being able to flexibly direct attention is a key factor in sensorimotor decision-making. Video game playing, an attentionally and cognitively engaging activity, can have a beneficial effect on attention and decision-making. Through this study, we examined whether video game players (VGPs) have improved decision-making skills and investigated the brain basis for improvements in a functional magnetic resonance imaging experiment. Brain connectivity from dorsal attention network regions to salience network regions was higher in VGPs and negatively correlated with decision response time for both groups. These results suggest that video game playing can enhance the top-down interaction to improve sensorimotor decision-making.

Capturing high and low levels of participant engagement in sensory and consumer evaluations via a known groups design and an implicit correlate

Recently developed to characterize consumer engagement during sensory and consumer testing, the Engagement Questionnaire (EQ) can quantify differences in participant engagement; however, the limits of the scale to detect disengagement has not been established. We conducted a known-group experimental design to verify the EQ’s ability to differentiate between an engaged and disengaged participant. Participants were randomly assigned to a more engaging (positive condition) and a less engaging sensory task (negative condition). In the positive condition, participants (N = 31) completed 20 tetrad tests; however, stimuli varied in type and difficulty. For the negative condition, participants (N = 28) completed 20 tetrads of the same sucrose concentration to promote a state of helplessness and encourage disengagement with the task. Facial expressions were collected through video recordings, using automatic facial emotion recognition software (FaceReader, Noldus Technology). Accounting for sex differences across the conditions, the EQ successfully discriminated between the positive and negative conditions. When in the positive condition, participants were more actively involved in the task (F1,59 = 23.99, p < 0.001), and experienced higher levels of purposeful intent (F1,59 = 11.10, p = 0.002) and affective value (F1,59 = 26.03, p < 0.001). Participants were more emotive in general, and experienced increased happiness (F1,42 = 22.24, p < 0.001), anger (F1,42 = 12.10, p = 0.001) and disgust (F1,42 = 4.33, p = 0.04) as well as lower levels of a neutral expression (F1,42 = 24.88, p < 0.001) in the positive condition. Now validated via known-groups analysis, the EQ can confidently differentiate a greater range of engagement. Such an instrument allows for a deeper understanding of participant engagement and its potential effect on data quality.

Closing the loop: Novel quantitative fMRI approach for manipulation of the sensorimotor loop in tremor

Tremor is thought to be an effect of oscillatory activity within the sensorimotor network. To date, the underlying pathological brain networks are not fully understood. Disentangling tremor activity from voluntary motor output and sensorimotor feedback systems is challenging. To better understand the intrinsic sensorimotor fingerprint underlying tremor, we aimed to disentangle the sensorimotor system into driving (motor) and feedback/compensatory (sensory) neuronal involvement, and aimed to pinpoint tremor activity in essential tremor (ET) and tremor-dominant Parkinson's disease (PD) with a novel closed-loop approach.Eighteen ET patients, 14 tremor-dominant PD patients, and 18 healthy controls were included. An MR-compatible wrist manipulator was employed during functional MRI (fMRI) while muscle activity during (in)voluntary movements was concurrently recorded using electromyography (EMG). Tremor was quantified based on EMG and correlated to brain activity. Participants performed three tasks: an active wrist motor task, a passive wrist movement task, and rest (no wrist movement).The results in healthy controls proved that our experimental paradigm activated the expected motor and sensory networks separately using the active (motor) and passive (sensory) task. ET patients showed similar patterns of activation within the motor and sensory networks. PD patients had less activity during the active motor task in the cerebellum and basal ganglia compared to ET and healthy controls. EMG showed that in ET, tremor fluctuations correlated positively with activity in the inferior olive region, and that in PD tremor fluctuations correlated positively with cerebellar activity.Our novel approach with an MR-compatible wrist manipulator, allowed to investigate the involvement of the motor and sensory networks separately, and as such to better understand tremor pathophysiology. In ET sensorimotor network function did not differ from healthy controls. PD showed less motor-related activity. Focusing on tremor, our results indicate involvement of the inferior olive in ET tremor modulation, and cerebellar involvement in PD tremor modulation.

Enhancing touch sensibility by sensory retraining in a sensory discrimination task via haptic rendering.

Stroke survivors are commonly affected by somatosensory impairment, hampering their ability to interpret somatosensory information. Somatosensory information has been shown to critically support movement execution in healthy individuals and stroke survivors. Despite the detrimental effect of somatosensory impairments on performing activities of daily living, somatosensory training—in stark contrast to motor training—does not represent standard care in neurorehabilitation. Reasons for the neglected somatosensory treatment are the lack of high-quality research demonstrating the benefits of somatosensory interventions on stroke recovery, the unavailability of reliable quantitative assessments of sensorimotor deficits, and the labor-intensive nature of somatosensory training that relies on therapists guiding the hands of patients with motor impairments. To address this clinical need, we developed a virtual reality-based robotic texture discrimination task to assess and train touch sensibility. Our system incorporates the possibility to robotically guide the participants' hands during texture exploration (i.e., passive touch) and no-guided free texture exploration (i.e., active touch). We ran a 3-day experiment with thirty-six healthy participants who were asked to discriminate the odd texture among three visually identical textures –haptically rendered with the robotic device– following the method of constant stimuli. All participants trained with the passive and active conditions in randomized order on different days. We investigated the reliability of our system using the Intraclass Correlation Coefficient (ICC). We also evaluated the enhancement of participants' touch sensibility via somatosensory retraining and compared whether this enhancement differed between training with active vs. passive conditions. Our results showed that participants significantly improved their task performance after training. Moreover, we found that training effects were not significantly different between active and passive conditions, yet, passive exploration seemed to increase participants' perceived competence. The reliability of our system ranged from poor (in active condition) to moderate and good (in passive condition), probably due to the dependence of the ICC on the between-subject variability, which in a healthy population is usually small. Together, our virtual reality-based robotic haptic system may be a key asset for evaluating and retraining sensory loss with minimal supervision, especially for brain-injured patients who require guidance to move their hands.

Cerebro-Cerebellar Networks in Migraine Symptoms and Headache.

The cerebellum is associated with the biology of migraine in a variety of ways. Clinically, symptoms such as fatigue, motor weakness, vertigo, dizziness, difficulty concentrating and finding words, nausea, and visual disturbances are common in different types of migraine. The neural basis of these symptoms is complex, not completely known, and likely involve activation of both specific and shared circuits throughout the brain. Posterior circulation stroke, or neurosurgical removal of posterior fossa tumors, as well as anatomical tract tracing in animals, provided the first insights to theorize about cerebellar functions. Nowadays, with the addition of functional imaging, much progress has been done on cerebellar structure and function in health and disease, and, as a consequence, the theories refined. Accordingly, the cerebellum may be useful but not necessary for the execution of motor, sensory or cognitive tasks, but, rather, would participate as an efficiency facilitator of neurologic functions by improving speed and skill in performance of tasks produced by the cerebral area to which it is reciprocally connected. At the subcortical level, critical regions in these processes are the basal ganglia and thalamic nuclei. Altogether, a modulatory role of the cerebellum over multiple brain regions appears compelling, mainly by considering the complexity of its reciprocal connections to common neural networks involved in motor, vestibular, cognitive, affective, sensory, and autonomic processing—all functions affected at different phases and degrees across the migraine spectrum. Despite the many associations between cerebellum and migraine, it is not known whether this structure contributes to migraine initiation, symptoms generation or headache. Specific cerebellar dysfunction via genetically driven excitatory/inhibitory imbalances, oligemia and/or increased risk to white matter lesions has been proposed as a critical contributor to migraine pathogenesis. Therefore, given that neural projections and functions of many brainstem, midbrain and forebrain areas are shared between the cerebellum and migraine trigeminovascular pathways, this review will provide a synopsis on cerebellar structure and function, its role in trigeminal pain, and an updated overview of relevant clinical and preclinical literature on the potential role of cerebellar networks in migraine pathophysiology.

Existing function in primary visual cortex is not perturbed by new skill acquisition of a non-matched sensory task

Acquisition of new skills has the potential to disturb existing network function. To directly assess whether previously acquired cortical function is altered during learning, mice were trained in an abstract task in which selected activity patterns were rewarded using an optical brain-computer interface device coupled to primary visual cortex (V1) neurons. Excitatory neurons were longitudinally recorded using 2-photon calcium imaging. Despite significant changes in local neural activity during task performance, tuning properties and stimulus encoding assessed outside of the trained context were not perturbed. Similarly, stimulus tuning was stable in neurons that remained responsive following a different, visual discrimination training task. However, visual discrimination training increased the rate of representational drift. Our results indicate that while some forms of perceptual learning may modify the contribution of individual neurons to stimulus encoding, new skill learning is not inherently disruptive to the quality of stimulus representation in adult V1.

Food neophobia: Higher responsiveness to sensory properties but low engagement with foods generally

AbstractFood neophobia (FN), typically defined in terms of rejection of unfamiliar foods but also associated with higher negative arousal in relation to food, has been established as an important personality variable in explaining food preferences and choices. Past research has examined responses to foods as a function of FN but not considered if there are specific sensory qualities of foods that are more important in food rejections. We propose that the concept of sensory sensitivity may help explain the origin of increased arousal in high FN adults, and conducted an online survey in Singapore with 1896 participants as a first step towards investigating this hypothesis. FN was measured using the FN scale (Pliner &amp; Hobden, 1992), and additionally participants: (a) rated their agreement with a series of statements that reflected their attitudes towards food sensory qualities, and (b) completed The Foodie Index (Pickering &amp; Pickering, 2022) to obtain measures of food involvement and enjoyment. The results reinforced earlier findings that FN is related to an overall lower level of enjoyment of foods, and further revealed that: (a) evaluation of food sensory qualities prior to, or during, eating or sensory reasons for rejecting a food were positively related to FN, and (b) increasing disengagement with foods in terms of knowledge, interest, time and money spent on food as FN increases. Collectively, the results underscore the centrality of FN in understanding consumers' food‐related experiences and behaviors by showing that FN is related to both sensitivity about specific sensory properties and low engagement with foods generally.Practical ApplicationsFood and sensory profiling by consumers has been increasing in recent years. The present data will assist in interpretation of consumer studies in which FN and/or food interest/engagement has been measured, since both are found to be a strong source of variation in consumer data. In particular, both product engagement and level of FN have been shown elsewhere to impact how consumers allocate their attention to sensory tasks. This suggests that sources of variation in consumer responses, whether due to general or sensory‐specific responses to foods, are crucial in interpreting sensory profiling or preference data.

Human Psychological Disorder towards Cryptography: True Random Number Generator from EEG of Schizophrenics and Its Application in Block Encryption's Substitution Box.

Schizophrenia is a multifaceted chronic psychiatric disorder that affects the way a human thinks, feels, and behaves. Inevitably, natural randomness exists in the psychological perception of schizophrenic patients, which is our primary source of inspiration for this research because true randomness is the indubitably ultimate valuable resource for symmetric cryptography. Famous information theorist Claude Shannon gave two desirable properties that a strong encryption algorithm should have, which are confusion and diffusion in his fundamental article on the theoretical foundations of cryptography. Block encryption strength against various cryptanalysis attacks is purely dependent on its confusion property, which is gained through the confusion component. In the literature, chaos and algebraic techniques are extensively used to design the confusion component. Chaos- and algebraic-based techniques provide favorable features for the design of the confusion component; however, researchers have also identified potential attacks on these techniques. Instead of existing schemes, we introduce a novel methodology to construct cryptographic confusion component from the natural randomness, which are existing in the psychological perception of the schizophrenic patients, and as a result, cryptanalysis of chaos and algebraic techniques are not applicable on our proposed technique. The psychological perception of the brain regions was captured through the electroencephalogram (EEG) readings during the sensory task. The proposed design passed all the standard evaluation criteria and validation tests of the confusion component and the random number generators. One million true random bits are assessed through the NIST statistical test suite, and the results proved that the psychological perception of schizophrenic patients is a good source of true randomness. Furthermore, the proposed confusion component attains better or equal cryptographic strength as compared to state-of-the-art techniques (2020 to 2021). To the best of our knowledge, this nature of research is performed for the first time, in which psychiatric disorder is utilized for the design of information security primitive. This research opens up new avenues in cryptographic primitive design through the fusion of computing, neuroscience, and mathematics.

227 Reduced drift rate: a biomarker of impaired information processing in functional movement disorders

Recently the similarity of neuropsychiatric profiles across a range of functional syndromes has been high- lighted. This is suggestive of a common underlying mechanism with a theoretical deficit of information processing proposed. In this study, we took the temporal discrimination threshold, as a paradigm that can be used to model sensory processing in functional movement disorders. Our hypothesis was that we would be able to delineate markers of slowed information processing in this paradigm removed from the phenomenological presentation with a movement disorder. We recorded both response accuracy and reaction time in a two choice temporal resolution/discrimination task in 36 patients with functional movement disorders and 36 controls. We used a well-established model for decision-making (the drift diffusion model) to estimate mechanistic physiological dimensions of decision-making and sensory pro- cessing. This revealed pathologically reduced drift rate in the patient group, a parameter that quantifies the quality and rate of information accumulation within this sensory task (p=0.002). We discuss how the deficits we observed in patients with functional movement disorders are likely to stem from abnormal allocation of attention that impairs the quality of sensory information available. Within a predictive coding framework sensory information could be down-weighted in favour of predictions encoded by the prior. Our results therefore offer a parsimonious account for a range of experimental and clinical findings.asadnick@sgul.ac.uk

Low-voltage solution-processed artificial optoelectronic hybrid-integrated neuron based on 2D MXene for multi-task spiking neural network

Incorporating optoelectronic integrated capability into artificial neurons can offer critical benefits of tunable device properties, diverse functions, and efficient computing capacity for artificial intelligent system. However, current reports are mostly focused on artificial neurons using an electric-driving mono-mode, while a facile and efficient approach to integrate electrical and optical signals is still lacking. Herein, a multifunctional optoelectronic hybrid-integrated neuron based on Ag nanoparticles-decorated MXene is proposed to achieve optoelectronic spatiotemporal information integration with low operating voltage of 0.93 V and high on/off ratio of 103, which are superior to those of majority of artificial neurons. An integrated visual perception system is developed by integrating artificial synapses, artificial optoelectronic neuron and robotic hand to emulate human conditional response. By integrating the optical sensory signals and electrical training signals, the response time of the system is significantly reduced. Finally, benefiting from the ability of spatiotemporal information integration, a multi-task pattern recognition in the spiking neural network composed of artificial synapses and neurons is completed, which can simultaneously recognize the digit patterns and rotation angles. Hence, this work exhibits the superiority in sensory and recognition tasks, which can pave the way for future application in neuromorphic circuits.

Emergent reliability in sensory cortical coding and inter-area communication.

Reliable sensory discrimination must arise from high-fidelity neural representations and communication between brain areas. However, how neocortical sensory processing overcomes the substantialvariability of neuronal sensory responses remains undetermined1-6. Here we imaged neuronalactivity in eight neocortical areas concurrently and over five days in mice performing a visual discrimination task, yielding longitudinal recordings of more than 21,000 neurons. Analyses revealed a sequence of events across the neocortex starting from a resting state, to early stages of perception, and through the formation of a task response. At rest, the neocortex had one pattern of functional connections, identified through sets of areas that shared activity cofluctuations7,8. Within about 200 ms after the onset of the sensory stimulus, such connections rearranged, with different areas sharing cofluctuations and task-related information. During this short-lived state(approximately 300 ms duration), bothinter-area sensory data transmission and the redundancy of sensory encoding peaked, reflecting a transient increase in correlated fluctuations among task-related neurons. By around 0.5 s after stimulus onset, thevisual representation reached a more stable form, the structure of which was robust to the prominent, day-to-day variations in the responses of individual cells. About 1 s into stimulus presentation, a global fluctuation mode conveyed the upcoming response of the mouse to every area examined and was orthogonal to modes carrying sensory data. Overall, the neocortex supports sensory performance through brief elevations in sensory coding redundancynear the start of perception, neural populationcodes that are robust to cellular variability, and widespreadinter-area fluctuation modes that transmit sensory data and task responses in non-interfering channels.

A neuromuscular model of human locomotion combines spinal reflex circuits with voluntary movements

Existing models of human walking use low-level reflexes or neural oscillators to generate movement. While appropriate to generate the stable, rhythmic movement patterns of steady-state walking, these models lack the ability to change their movement patterns or spontaneously generate new movements in the specific, goal-directed way characteristic of voluntary movements. Here we present a neuromuscular model of human locomotion that bridges this gap and combines the ability to execute goal directed movements with the generation of stable, rhythmic movement patterns that are required for robust locomotion. The model represents goals for voluntary movements of the swing leg on the task level of swing leg joint kinematics. Smooth movements plans towards the goal configuration are generated on the task level and transformed into descending motor commands that execute the planned movements, using internal models. The movement goals and plans are updated in real time based on sensory feedback and task constraints. On the spinal level, the descending commands during the swing phase are integrated with a generic stretch reflex for each muscle. Stance leg control solely relies on dedicated spinal reflex pathways. Spinal reflexes stimulate Hill-type muscles that actuate a biomechanical model with eight internal joints and six free-body degrees of freedom. The model is able to generate voluntary, goal-directed reaching movements with the swing leg and combine multiple movements in a rhythmic sequence. During walking, the swing leg is moved in a goal-directed manner to a target that is updated in real-time based on sensory feedback to maintain upright balance, while the stance leg is stabilized by low-level reflexes and a behavioral organization switching between swing and stance control for each leg. With this combination of reflex-based stance leg and voluntary, goal-directed control of the swing leg, the model controller generates rhythmic, stable walking patterns in which the swing leg movement can be flexibly updated in real-time to step over or around obstacles.

Stay or Go? Neuronal Activity in Medial Frontal Cortex During a Voluntary Tactile Preference Task in Head-fixed Mice

The decision to move is influenced by sensory, attentional, and motivational cues. One such cue is the quality of the tactile input, with noxious or unpleasant sensations causing an animal to move away from the cue. Processing of painful and unpleasant sensation in the cortex involves multiple brain regions, although the specific role of the brain areas involved in voluntary, rather than reflexive movement away from unpleasant stimuli is not well understood. Here, we focused on the medial subdivision of secondary motor cortex, which is proposed to link sensory and contextual cues to motor action, and tested its role in controlling voluntary movement in the context of an aversive tactile cue. We designed a novel, 3D-printed tactile platform consisting of innocuous (grid) and mildly noxious (spiked) surfaces (50:50 % of total area), which enabled monitoring neuronal activity in the medial frontal cortex by two-photon imaging during a sensory preference task in head-fixed mice. We found that freely moving mice spent significantly less time on a spiked-surface, and that this preference was eliminated by administration of a local anesthetic. At the neuronal level, individual neurons were differentially modulated specific to the tactile surface encountered. At the population level, the neuronal activity was analyzed in relation to the events where mice chose to "stop-on" or "go-from" a specific tactile surface and when they "switched" surfaces without stopping. Notably, each of these three scenarios showed population activity that differed significantly between the grid and spiked tactile surfaces. Collectively, these data provide evidence that tactile quality is encoded within medial frontal cortex. The task pioneered in this study provides a valuable tool to better evaluate mouse models of nociception and pain, using a voluntary task that allows simultaneous recording of preference and choice. Grant support from NS109287 (G.A.), NS096246 (Y.U.), DK116624 (Y.U.) and NS113189 (Y.U.), the Iowa Neuroscience Institute, and the Williams- Cannon faculty fellowship (G.A). A.K. was supported by a predoctoral fellowship through NIH T32 Grant GM067795.

Application of painDETECT in Pediatric Chronic Pain: How Well Does It Identify Neuropathic Pain and Its Characteristics?

Pediatric neuropathic pain is difficult to diagnose, and when undetected is associated with functional disability, mental health concerns, and decreased quality of life. PainDETECT is a screening tool developed to differentiate neuropathic from nociceptive pain components, thus guiding treatment decision-making and improving outcomes. Therefore, the purpose of this study was to evaluate how well painDETECT can identify neuropathic pain and its characteristics in a pediatric population. Adolescents (10-24yo) were recruited from two major children's hospitals. Participants completed painDETECT and two quantitative sensory tasks (QST) that assess mechanical allodynia (brush) and pressure pain (algometer) as part of an ongoing study. Pain diagnoses were collected via parent report and participant medical chart, when unclear. Descriptive statistics and ANOVAs were used to characterize participants and assess painDETECT in relation to diagnosis and QST measures. Participants with chronic pain diagnoses (N=110, Mage=15.05±2.4, Nfemale=88) and peers without pain (N=55, Mage=15.84±3.9, Nfemale=39) were included. As expected, painDETECT scores for participants with pain (M=11.51±6.59) were higher than peers without pain (M=1.42±2.15). Among those diagnosed with neuropathic pain, painDETECT identified 88.5% as having neuropathic pain. Among those diagnosed with abdominal, endometriosis, and fibromyalgia, 75% were identified as having nociceptive pain and 0% as having neuropathic pain. For those diagnosed with musculoskeletal and pain amplification, 61% were identified as having nociceptive pain and 19.6% as having neuropathic pain. Individuals in the neuropathic pain category had significantly higher mechanical allodynia (p=.021) and lower pressure pain thresholds (p=.059). PainDETECT differentiated participants with pain from their peers without pain and demonstrated accuracy in identifying participants as having nociceptive vs. neuropathic pain, consistent with their existing pain diagnosis. Moreover, QST results were consistent with a positive neuropathic screening. Taken together, results support the use of painDETECT as a pediatric neuropathic pain screening tool. Grant support from 5R01HD83270.

Atypical Physiological Response to Less Controllable Sensory Stimulation in Children with ASD.

Atypical sensory features are frequently observed in individuals with autism spectrum disorder (ASD) as uncontrollable and less predictable sensory stimuli are thought to be stressful for them. To quantify distal indicators of cardiac vagus nerve activity, which is associated with top-down self-regulatory capacity, during sensory tasks as a stress state in children with ASD, we conducted an exploratory study to measure phasic high-frequency components of heart rate variability (phasic HF-HRV) during less controllable tactile/auditory sensory tasks in 37 children with ASD (aged 6-12years) and 37 typically developing (TD) children. Only children with ASD showed increased HF-HRV values from the resting state to the task (i.e., phasic HF-HRV augmentation) during both less controllable tactile/auditory sensory tasks. In TD children, decreased phasic HF-HRV values were observed to cope with the task demand during the less-controllable-tactile task. These findings suggest that increased phasic HF-HRV values in response to less controllable sensory stimuli may reflect atypical physiological regulation during sensory stimulation in children with ASD.

A Comparative Study on the Effects of Task Oriented Balance Training Program with or without Altered Sensory Input on Balance and Functional Performance in Older Adults : A Case Control Study

Background and purpose: This study was designed to compare the effectiveness of task oriented balance training program with altered sensory input versus task oriented balance training program without altered sensory input. This helps us to choose a better training program for improving and reducing the risk of fall in elderly population Subjects: Fourty eight older adults from independent life-care communities, aged 71 to 75 years (X = 79.2, SD = 6.2), participated.Methods: Patients were divided into group A and group B. Group A received Task oriented balance training program with altered sensory input while the group B receiving task oriented balance training program without altered sensory input. Subjects were then assessed on balance scale – Berg balance scale (BBS) and Functional performance measure – Ten meter walk test (10MWT).Results: There was a significant improvement in BBS and 10MWT in patients performed Task oriented training program with altered sensory input than the patients performed Task oriented training program without altered sensory input.Conclusion: Although the obtained results reveal that subjects in both groups were benefitted from balance training interventions with a significant improvement in post intervention balance scores on BBS and functional measure, ie.10 meter walk test, subjects in group A performed better than Group B. The improvement may be as the result of increased use of somatosensory. And this sensory compensation might have improved sensorimotor integration of postural control in the central nervous system, thus serving to activate and coordinate motor processes i.e. action of proper muscle synergies.

Interactions between sensory prediction error and task error during implicit motor learning.

Implicit motor recalibration allows us to flexibly move in novel and changing environments. Conventionally, implicit recalibration is thought to be driven by errors in predicting the sensory outcome of movement (i.e., sensory prediction errors). However, recent studies have shown that implicit recalibration is also influenced by errors in achieving the movement goal (i.e., task errors). Exactly how sensory prediction errors and task errors interact to drive implicit recalibration and, in particular, whether task errors alone might be sufficient to drive implicit recalibration remain unknown. To test this, we induced task errors in the absence of sensory prediction errors by displacing the target mid-movement. We found that task errors alone failed to induce implicit recalibration. In additional experiments, we simultaneously varied the size of sensory prediction errors and task errors. We found that implicit recalibration driven by sensory prediction errors could be continuously modulated by task errors, revealing an unappreciated dependency between these two sources of error. Moreover, implicit recalibration was attenuated when the target was simply flickered in its original location, even though this manipulation did not affect task error - an effect likely attributed to attention being directed away from the feedback cursor. Taken as a whole, the results were accounted for by a computational model in which sensory prediction errors and task errors, modulated by attention, interact to determine the extent of implicit recalibration.