Sensorimotor Patterns Research Articles

Motor Milestones: Sensory Motor Trends of Young Children with Classic Galactosemia

ABSTRACT Speech problems affect about 66% of children with classic galactosemia (CG), but limited evidence is reported on early motor and sensory motor development in this at-risk population. Research has been focused on speech and language development, leaving a paucity of data on motor and sensory differences. This paper describes preliminary data regarding sensory motor and motor development patterns in young children with CG. Babble Boot Camp© (BBC) is an NIH-funded randomized control trial (RCT) implementing proactive interventions designed to support the speech language development of infants with CG. Cases were randomly assigned to a motor-first group (Motor Milestones), receiving virtual occupational therapy through 14 months, or a speech-first group, receiving virtual speech therapy through 14 months. All cases received speech and language therapy from 15 to 24 months. Controls, typically developing infants, did not receive occupational therapy or speech therapy. Participants were recruited through social media, advertisements, metabolic clinics, and the Galactosemia Foundation. Infants in the motor milestones group were assessed with the Developmental Assessment of Young Children and Sensory Profile-2 pre-enrollment (<6 months of age) and post-treatment follow-up at 2.5, 3.5, and 4.5 years of age. Results show that 17.5% of participants with CG had delays in gross motor, 22.5% in fine motor, and 45% in sensory processing. Data from the Motor Milestones portion of BBC are important emerging evidence for occupational therapy in early intervention, preschool, and outpatient settings. This research supports the need for occupational therapy services during early intervention to minimize or prevent long-term motor and sensorimotor delays in infants with CG. Understanding patterns and addressing literature gaps helps support the need for occupational therapists to address motor delays, improve activities of daily living, play, promote functional independence, and provide caregiver education to best support the occupational performance of children with CG.

Common neural correlates of vestibular stimulation and fear learning: an fMRI meta-analysis

BackgroundA bidirectional functional link between vestibular and fear-related disorders has been previously suggested.ObjectiveTo test a potential overlap of vestibular and fear systems with regard to their brain imaging representation maps.MethodsBy use of voxel-based mapping permutation of subject images, we conducted a meta-analysis of earlier functional magnetic resonance imaging (fMRI) studies applying vestibular stimulation and fear conditioning in healthy volunteers.ResultsCommon clusters of concordance of vestibular stimulation and fear conditioning were found in the bilateral anterior insula cortex, ventrolateral prefrontal cortex and the right temporal pole, bilaterally in the adjacent ventrolateral prefrontal cortex, cingulate gyrus, secondary somatosensory cortex, superior temporal and intraparietal lobe, supplementary motor area and premotor cortex, as well as subcortical areas, such as the bilateral thalamus, mesencephalic brainstem including the collicular complex, pons, cerebellar vermis and bilateral cerebellar hemispheres. Peak areas of high concordance for activations during vestibular stimulation but deactivations during fear conditioning were centered on the posterior insula and S2.ConclusionsThe structural overlap of both networks allows the following functional interpretations: first, the amygdala, superior colliculi, and antero-medial thalamus might represent a release of preprogramed sensorimotor patterns of approach or avoidance. Second, the activation (vestibular system) and deactivation (fear system) of the bilateral posterior insula is compatible with the view that downregulation of the fear network by acute vestibular disorders or unfamiliar vestibular stimulation makes unpleasant perceived body accelerations less distressing. This also fits the clinical observation that patients with bilateral vestibular loss suffer from less vertigo-related anxiety.

Relationship Between Childhood Sensory Processing Differences and Quality of Life as Adults.

Research suggests a relationship between sensory processing, motor skills and quality of life (QOL) in a variety of clinical populations of adults and children. There have been no studies which investigated the relationship of childhood sensory processing and integration and related motor performance (sensori-motor) patterns identified using an Ayres Sensory Integration® (ASI) frame of reference and later QOL of those children as adults. This longitudinal follow-up study examined this relationship. Adult QOL was also examined in relation to current adult sensori-motor patterns. Fifty-three adults who received occupational therapy services as children, were identified as having sensori-motor difficulties at that time and completed a sensory history and a quality-of-life measure as adults participated. Measures included the OTA the Koomar Center Sensory History (SXHX), Adult/Adolescent Sensory History (ASH), and the World Health Organization Quality of Life-Brief (WHOQOL-BREF). MANCOVA found that Total childhood sensori-motor scores had a small relationship to Physical Health QOL as adults that approached significance. Pearson Correlations found that adults with childhood sensori-motor challenges who report sensori-motor challenges as adults had a moderate significant relationship among overall sensori-motor functioning and Physical Health (r = −0.56, p = 0.018). Visual (r = −0.76, p = 0.001), movement (vestibular; r = −0.48, p = 0.042) and tactile processing (r = −0.63, p = 0.008) had moderate to large significant relationships with Physical Health. Visual processing (r = −0.54, p = 0.024) was also significantly related to Psychological Health. Motor Coordination trended to significance for Physical Health (r = −0.42) and Psychological Health (r = −0.41). Conversely, adults who reported typical sensori-motor scores as adults, despite childhood sensori-motor challenges, had a good QOL. Furthermore, similar to previous research, there was a relationship between current visual, movement (vestibular) and tactile (touch) sensory processing and adult Physical and Psychological Health. A multivariate linear regression found Sensory Discrimination and Modulation accounted for one-quarter of the variance in QOL in adults with only Discrimination being statistically significant. Therefore, it is important to consider childhood sensori-motor function as well as adult functioning when examining QOL. Further, heretofore unexamined Sensory Discrimination was found to play a role in adult QOL.

E2M – Embodied Emotion in Motion: Developing Dancers’ Tools to Explore Sensorimotor Patterns for Emotion and Peak Performance

This article discusses the results of a practice-as-research intensive project carried out in August 2019, which in turn applies the doctoral research of scholar-practitioners Jorge Crecis and Lucía Piquero. The project delved into ideas about embodied cognition to support a practice-led theoretical understanding of the experience of emotional import and peak performative states in theatre dance performances. A series of creative sessions were recorded and analyzed, and then presented to an audience at the end of each day. The experience of the audience is also collected through questionnaires and open discussion, to develop a multi-perspectival understanding of the experience of emotion in performance. The main pursuit of the project was to understand and develop tools in relation to the dancers’ awareness of their own sensorimotor patterns, in relation to peak performance and understandings of emotion in performance. The article develops a conceptual framework through the theoretical notions of embodied cognition, enactive perception, and sensorimotor patterns. This allows for analysis based on the experiences of the participants, and for an integration of views which then develops into a discussion of the dancers’ awareness of their sensorimotor patterns.

Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users.

Motor Imagery Brain-Computer Interfaces (MI-BCIs) are AI-driven systems that capture brain activity patterns associated with mental imagination of movement and convert them into commands for external devices. Traditionally, MI-BCIs operate on Machine Learning (ML) algorithms, which require extensive signal processing and feature engineering to extract changes in sensorimotor rhythms (SMR). In recent years, Deep Learning (DL) models have gained popularity for EEG classification as they provide a solution for automatic extraction of spatio-temporal features in the signals. However, past BCI studies that employed DL models, only attempted them with a small group of participants, without investigating the effectiveness of this approach for different user groups such as inefficient users. BCI inefficiency is a known and unsolved problem within BCI literature, generally defined as the inability of the user to produce the desired SMR patterns for the BCI classifier. In this study, we evaluated the effectiveness of DL models in capturing MI features particularly in the inefficient users. EEG signals from 54 subjects who performed a MI task of left- or right-hand grasp were recorded to compare the performance of two classification approaches; a ML approach vs. a DL approach. In the ML approach, Common Spatial Patterns (CSP) was used for feature extraction and then Linear Discriminant Analysis (LDA) model was employed for binary classification of the MI task. In the DL approach, a Convolutional Neural Network (CNN) model was constructed on the raw EEG signals. Additionally, subjects were divided into high vs. low performers based on their online BCI accuracy and the difference between the two classifiers’ performance was compared between groups. Our results showed that the CNN model improved the classification accuracy for all subjects within the range of 2.37 to 28.28%, but more importantly, this improvement was significantly larger for low performers. Our findings show promise for employment of DL models on raw EEG signals in future MI-BCI systems, particularly for BCI inefficient users who are unable to produce desired sensorimotor patterns for conventional ML approaches.

Neonatal brachial plexus palsy - early diagnosis and treatment.

The incidence of brachial plexus palsy (BPP) has decreased recently, but the indivi-d-ual's quality of life is endangered. To provide better chan-ces to BPP neonates and infants, the Department of Developmental Neurology worked out, introduced, and applied a complex early therapy, including nerve point stimulation. After diagnosing the severity of BPP, early intensive and complex therapy should be started. Appro-x-imately after a week or ten days following birth, the slightest form (neurapraxia) normalizes without any intervention, and signs of recovery can be detected around this period. The therapy includes the unipolar nerve point electro-stimulation and the regular application of those elemen-tary sensorimotor patterns, which activate both extremities simultaneously. With the guideline worked out and applied in the Department of Developmental Neurology, full recovery can be achieved in 50% of the patients, and even in the most severe cases (nerve root lesion), functional upper limb usage can be detected with typically developing body-scheme. Immediately starting complex treatment based on early diagnosis alters the outcome of BPP, providing recovery in the majority of cases and enhancing the everyday arm function of those who only partially benefit from the early treatment.

Distinct movement patterns generate stages of spider web building

The geometric complexity and stereotypy of spider webs have long generated interest in their algorithmic origin. Like other examples of animal architecture, web construction is the result of several assembly phases that are driven by distinct behavioral stages coordinated to build a successful structure. Manual observations have revealed a range of sensory cues and movement patterns used during web construction, but methods to systematically quantify the dynamics of these sensorimotor patterns are lacking. Here, we apply an analytical pipeline to quantify web-making behavior of the orb-weaver Uloborus diversus. Position tracking revealed stereotyped stages of construction that could occur in typical or atypical progressions across individuals. Using an unsupervised clustering approach, we identified general and stage-specific leg movements. A hierarchical hidden Markov model revealed that web-building stages are characterized by stereotyped sequences of actions largely shared across individuals, regardless of whether these stages progress in a typical or an atypical fashion. Web stages could be predicted based on action sequences alone, revealing that web-stage geometries are a physical manifestation of behavioral transition regimes.

Perception, Action, and Intrinsic Motivation in Infants’ Motor-Skill Development

Perception, action, and intrinsic motivation play an essential role in early development, promoting the creation and refinement of new and more complex forms of behaviors as infants try a range of sensorimotor patterns in their environment. I use the example of infants’ reaching to illustrate how goal-directed action emerges from the intersection of seemingly distinct visual and proprioceptive-tactile-motor spaces that form in the early months following birth. The intersection of these two spaces begins with a casual contingent event involving vision and action: when the hand happens to contact a target. This event, which marks the onset of reaching, provides new behavioral value, reinforces the motor action, and intrinsically motivates infants to attempt to reproduce the behavior. Subsequent repeated cycles of perception and action lead to the exploration of a range of motor responses and a progressive alignment of the visual space with the proprioceptive-tactile-motor space, ultimately fostering the selection and refinement of increasingly successful and refined reaching patterns. Extensive hands-on experience in the environment and learning about the immediate outcomes of actions play a critical role in shaping behavioral development.

Towards Large-Scale Evaluation of Mental Stress and Biomechanical Strain in Manufacturing Environments Using 3D-Referenced Gaze and Wearable-based Analytics

In future manufacturing human-machine interaction will evolve towards flexible and smart collaboration. It will meet requirements from the optimization of assembly processes as well as from motivated and skilled human behavior. Recently, human factors engineering has substantially progressed by means of detailed task analysis. However, there is still a lack in precise measuring cognitive and sensorimotor patterns for the analysis of long-term mental and physical strain. This work presents a novel methodology that enables real-time measurement of cognitive load based on executive function analyses as well as biomechanical strain from non-obtrusive wearable sensors. The methodology works on 3D information recovery of the working cell using a precise stereo measurement device. The worker is equipped with eye tracking glasses and a set of wearable accelerometers. Wireless connectivity transmits the sensor-based data to a nearby PC for monitoring. Data analytics then recovers the 3D geometry of gaze and viewing frustum within the working cell and furthermore extracts the worker's task switching rate as well as a skeleton-based approximation of worker's posture associated with an estimation of biomechanical strain of muscles and joints. First results enhanced by AI-based estimators demonstrate a good match with the results of an activity analysis performed by occupational therapists.

Electrophysiological Diagnostic Certainty in Spinal Nerve Root Entrapment

Objective: Evaluation of sensitivity of different electrophysiological parameters among Egyptians with clinically spinal nerve entrapment. Methods: 100 spinal nerve entrapment patients and 41 healthy control. Exclusion; diabetes mellitus, renal, hepatic, endocrine disorder, other nerve involvements. Patients subjected to: Demographic data, detailed neurological history, examination. EDX; NCS, H-reflex, F-wave, Dermatomal Sensory Evoked Potential (DSEP), EMG. Normal cervical DSEP latency and same side Inter-root latency difference was calculated. Values more than 1.57 were considered abnormal. Results: Mean age 49.6 ± 10.6. sensory pattern 87%, motor pattern 9%, sensorimotor patterns 4%. Single nerve root (56%), highest C7 root (25%) (.44%. Multiple nerve root; highest C6,C7 (20.5%). No significant pattern difference among single versus multiple roots. Among single root: 91.9% sensory, 6.9% motor, 1.7% sensorimotor. Within multiple roots; sensory (81.8%), motor (11.4%), sensorimotor 6.8%. Positive DSEP; 98.2% sensory and all motor/sensoriomotor, all cervical and 93.8% lumbosacral patients. Cervical Latency normal/pathological: C5 l 18.68 ± 3.5/27.84 ± 4.02. C6: 22.18 ± 1.6)/26.38 ± 2.8. C7; 21.01 ± 1.8./25.6 ± 2.04. C8: 21.93 ± 1.7/5.93 ± 2.5. Significant difference between normal vs pathological latency. Positive F-wave; 57.5% sensory, 80%motor, 83.3%, sensorimotor. Abnormal H-reflex in patients with S1 root manifestations. Abnormal EMG: motor, sensorimotor and 54.2% sensory patterns. Conclusion: Commonest presentation is sensory. H-reflex is highly sensitive among S1 patients. DSEP is highly sensitive among sensory patterns. Sensitivity of F-wave is low among sensory, higher with motor/sensorimotor, with two segments accuracy. EMG is highly sensitive in motor but less with sensory pattern.

Clinico-Pathological Aspects of Spinal Nerve Root Entrapment

The patterns of the clinical presentation of spinal nerve root entrapment are subject of wide variability [1-3]. Although the sensory presentation patterns dominate different patterns of clinical presentation, other patterns namely; motor or sensorimotor patterns are also encountered

Teaching with embodied learning technologies for mathematics: responsive teaching for embodied learning

As technologies that put the body at the center of mathematics learning enter formal and informal learning spaces, we still know little about the teaching methods educators can use to support students’ learning with these specialized systems. Drawing on ethnomethodology and conversation analysis (EMCA) and the Co-Operative Action framework, we present three multimodal ways that educators can be responsive to learners’ embodied ideas and help them transform sensorimotor patterns into mathematically significant perceptions. These techniques include (1) encouraging learners to use gesture to express and reflect on their ideas, (2) presenting multimodal candidate understandings to check comprehension of learners’ embodied ideas, and (3) co-constructing multimodally expressed embodied ideas with learners. We demonstrate how these techniques create opportunities for learning and discuss implications for a multimodal, embodied practice of responsive teaching.

A Minimal Turing Test: Reciprocal Sensorimotor Contingencies for Interaction Detection.

In the classical Turing test, participants are challenged to tell whether they are interacting with another human being or with a machine. The way the interaction takes place is not direct, but a distant conversation through computer screen messages. Basic forms of interaction are face-to-face and embodied, context-dependent and based on the detection of reciprocal sensorimotor contingencies. Our idea is that interaction detection requires the integration of proprioceptive and interoceptive patterns with sensorimotor patterns, within quite short time lapses, so that they appear as mutually contingent, as reciprocal. In other words, the experience of interaction takes place when sensorimotor patterns are contingent upon one’s own movements, and vice versa. I react to your movement, you react to mine. When I notice both components, I come to experience an interaction. Therefore, we designed a “minimal” Turing test to investigate how much information is required to detect these reciprocal sensorimotor contingencies. Using a new version of the perceptual crossing paradigm, we tested whether participants resorted to interaction detection to tell apart human from machine agents in repeated encounters with these agents. In two studies, we presented participants with movements of a human agent, either online or offline, and movements of a computerized oscillatory agent in three different blocks. In each block, either auditory or audiovisual feedback was provided along each trial. Analysis of participants’ explicit responses and of the implicit information subsumed in the dynamics of their series will reveal evidence that participants use the reciprocal sensorimotor contingencies within short time windows. For a machine to pass this minimal Turing test, it should be able to generate this sort of reciprocal contingencies.

The case for an embodied approach to listening. Bodies, technologies and perception

In Western philosophical and scientific tradition, aural processes have been subordinated, since antiquity, to rational knowledge and, more recently, to higher cognitive mechanisms. Within this ontological system, sound and listening are represented as essentially disembodied phenomena. However, in recent years, the emergence of an embodied perspective in music studies allows scholars to rethink listening in relation to corporeality. This article aims at presenting a review of the most important approaches – such as motor-mimetic theory, embodied music cognition, musical gesture studies and ecological theories – within the embodied paradigm. By paying particular attention to the close link between sensorimotor patterns and perception theses approaches provides a model to investigate the auditory process in a situated, multimodal and enactive perspective.

生成认知：理论基础与实践走向

<p id="C2">There are different theoretical views in the embodied cognition camp, and there is sometimes even conflict among them. Enactive cognition is a new version of recently developed embodied cognition approaches. It claims that the explanation of human cognitive processes across the board should not make any appeal to internal representational or computational states. According to the traditional computation-representation theory of mind, cognitive processes are mechanistically realized in computational processes of building, storing and manipulating detached and abstract internal representations. This cognitivist paradigm has dominated mainstream cognitive psychology for decades. The key assumptions that characterize this representation- centered theory of mind are including that cognition might be understood as computation over mental representations, and that models of cognition should take into account only the inner states of a cognitive individual. But recently this framework has been challenged and criticized. Out of this challenge and criticism emerged the beginnings to an enactive cognition paradigm. The enactive approach to cognitive science proposed a new set of theoretical assumptions for understanding what cognition is and how it works that aims to break the tight conceptual connection between cognition and representation. It takes as its starting point that cognition must not be understood as a capacity for getting an internal representation of a corresponding external reality, which in turn would provide a foundation for supporting thinking, learning, and problem solving. Instead, cognitive processes are deeply entangled in action. Cognition is thus best understood as “enactive”; that is, as a form of practice itself. From the point view of enactive cognition, cognition comes from bodily action and serves bodily action, that is, cognition is embodied action. The key postulate of enactive Cognition is action-related and action-oriented, with the capacity to generate environmental structure by action. Cognition is thus best understood as “enactive”; that is, as embedded action it comes from bodily action and serves bodily action. At the same time, advocates of enactivism state that despite the emphasis on the function of the organism’s action of the mind, the model cannot be equated with behaviorism; action, in contrast to behavior, is purposeful and has a cognitive component. Key aspects of enactive cognition are: (1) perception consists in perceptually guided action and (2) cognitive structures emerge from the recurrent sensorimotor patterns that allow action to be perceptually guided. There are three enactive theories in cognitive science. Autopoietic enactivism emphasizes the deep continuity between life and mind; sensorimotor enactivism focuses on analyzing perceptual consciousness in terms of sensorimotor contingency, and radical enactivism focuses on rejecting representationalism in favour of explanatory strategies that emphasize patterns of embodied interaction. These perspectives on enactive cognition are more informed by phenomenology and pragmatism than were earlier versions of embodied cognition. Therefore, we can say that phenomenology and pragmatism constitute the theoretical origin of enactive cognition. The enactive cognition view is not only theoretically viable, but also supported by substantial experimental evidence demonstrating that cognitive processes can be reinterpreted using this new conceptual framework. The theoretical premises of enactive cognition open up new prospects for improving theoretical research and the practical application of cognitive science in the future.

Embodied memories: Reviewing the role of the body in memory processes.

This review aims at exploring the role of the body and its sensorimotor processes in memory. Recent theories have suggested that memories can profitably be seen as mental simulations consisting in the reactivation of sensorimotor patterns originally associated with events at encoding, rather than amodal mental representations. The sensorimotor model of memory (SMM) claims that the body is the medium where (and through which) sensorimotor modalities actually simulate the somatosensory components of remembered events, and predicts that memory processes can be manipulated through manipulation of the body. The review analyzes experimental evidence in favor of the SMM and the claim that the body is at stake in memory processes. The review then highlights how, at the current state of research, the majority of this evidence concerns the effect of body manipulations on memory processes rather than memory representations. It considers the need for a more circumstantial outline of the actual extent to which the body is capable of affecting memory, specifically on some important areas still unexplored, such as the sense of recollection. Resulting strengths and limitations of the SMM are discussed in relation to the more general debate on the embodied cognition.

Short- and Long-Term Outcome of Systemic Lupus Erythematosus Peripheral Neuropathy: Bimodal Pattern of Onset and Treatment Response.

Our aim was to describe the short- and long-term outcome of peripheral neuropathy (PN) attributed exclusively to systemic lupus erythematosus (SLE). Systemic lupus erythematosus patients with defined PN (clinical and electroneuromyography) were retrospectively evaluated at onset, 1-year, and 5-year follow-up using a standardized electronic chart database that started in 2000. Exclusion criteria were comorbidities, drugs, and infections. Age-, sex-, and disease duration-matched SLE patients without PN were selected as controls. Lupus PN was identified in 38 (1.8%) of 2074 patients, and almost two thirds had PN onset in the first 5 years of SLE (63.2%). Peripheral neuropathy SLE had higher frequencies of cutaneous vasculitis (50% vs 21.1%, p = 0.002), lymphopenia (60.5% vs 36.8%, p = 0.027), anti-Sm (52.6% vs 27.6%, p = 0.013), and higher SLEDAI-2K scores (11.5 ± 10.5 vs 4.9 ± 6.7, p < 0.001) compared with controls. The most common type was polyneuropathy (71.1%) with sensory-motor pattern (68.4%). At PN diagnosis, all patients received glucocorticoid and 97.4% started immunosuppressive therapy (50% intravenous cyclophosphamide, 42.1% azathioprine). After 1-year follow-up, 92.1% had a favorable outcome with complete (36.8%) or partial remission (55.2%), in parallel with a decrease in prednisone dose (48.3 ± 17.9 vs 15.3 ± 13.4 mg/d, p < 0.001), symptomatic therapy (57.9% vs 29.7%, p = 0.02), and SLEDAI-2K score (11.5 ± 10.5 vs 1.7 ± 3.7, p < 0.001). SLEDAI-2K scores were higher in patients who had PN onset with less than 1 year of SLE duration, compared with those with more than 5 years of disease (21.3 ± 9.1 vs 3.9 ± 5.3, p < 0.001). Early-PN-onset group had a better response to treatment (complete remission at 1-year follow-up 61.5% vs 25%, p = 0.039). At 5-year follow-up, 89.3% remained with complete/partial remission. Peripheral neuropathy attributed to SLE itself is a rare manifestation with a bimodal pattern, characterized by a predominant early-onset group associated with high disease activity and a higher rate of complete remission, and a late-onset group with low disease activity and a partial therapy response.

The Enactive Approach to Habits: New Concepts for the Cognitive Science of Bad Habits and Addiction.

Habits are the topic of a venerable history of research that extends back to antiquity, yet they were originally disregarded by the cognitive sciences. They started to become the focus of interdisciplinary research in the 1990s, but since then there has been a stalemate between those who approach habits as a kind of bodily automatism or as a kind of mindful action. This implicit mind-body dualism is ready to be overcome with the rise of interest in embodied, embedded, extended, and enactive (4E) cognition. We review the enactive approach and highlight how it moves beyond the traditional stalemate by integrating both autonomy and sense-making into its theory of agency. It defines a habit as an adaptive, precarious, and self-sustaining network of neural, bodily, and interactive processes that generate dynamical sensorimotor patterns. Habits constitute a central source of normativity for the agent. We identify a potential shortcoming of this enactive account with respect to bad habits, since self-maintenance of a habit would always be intrinsically good. Nevertheless, this is only a problem if, following the mainstream perspective on habits, we treat habits as isolated modules. The enactive approach replaces this atomism with a view of habits as constituting an interdependent whole on whose overall viability the individual habits depend. Accordingly, we propose to define a bad habit as one whose expression, while positive for itself, significantly impairs a person’s well-being by overruling the expression of other situationally relevant habits. We conclude by considering implications of this concept of bad habit for psychological and psychiatric research, particularly with respect to addiction research.

Dynamics of the EEG sensorimotor and alpha rhythm amplitude patterns in a training series of controlling the power platform with visual feedback

The study of the EEG alpha reactivity patterns in the prefrontal, central, parietal and occipital regions involved 25 healthy male subjects who participated in four training sessions of controlling the power platform with visual feedback. A significant prefrontal alpha rhythm synchronization was found which was not essentially modulated in a series of subsequent trainings. A significant desynchronization of the occipital alpha was registered for the second session which gradually increased up to the fourth session. The sensorimotor alpha rhythm didn’t show regular patterns. The use of the dominant (right) hand resulted in a significant desynchronization of the parietal alpha in the right hemisphere in the third and the fourth training sessions.

Differential developmental changes in cortical representations of auditory-vocal stimuli in songbirds

Procedural skill learning requires iterative comparisons between feedback of self-generated motor output and a goal sensorimotor pattern. In juvenile songbirds, neural representations of both self-generated behaviors (each bird's own immature song) and the goal motor pattern (each bird's adult tutor song) are essential for vocal learning, yet little is known about how these behaviorally relevant stimuli are encoded. We made extracellular recordings during song playback in anesthetized juvenile and adult zebra finches ( Taeniopygia guttata) in adjacent cortical regions RA (robust nucleus of the arcopallium), AId (dorsal intermediate arcopallium), and RA cup, each of which is well situated to integrate auditory-vocal information: RA is a motor cortical region that drives vocal output, AId is an adjoining cortical region whose projections converge with basal ganglia loops for song learning in the dorsal thalamus, and RA cup surrounds RA and receives inputs from primary and secondary auditory cortex. We found strong developmental differences in neural selectivity within RA, but not in AId or RA cup. Juvenile RA neurons were broadly responsive to multiple songs but preferred juvenile over adult vocal sounds; in addition, spiking responses lacked consistent temporal patterning. By adulthood, RA neurons responded most strongly to each bird's own song with precisely timed spiking activity. In contrast, we observed a complete lack of song responsivity in both juvenile and adult AId, even though this region receives song-responsive inputs. A surprisingly large proportion of sites in RA cup of both juveniles and adults did not respond to song playback, and responsive sites showed little evidence of song selectivity. NEW & NOTEWORTHY Motor skill learning entails changes in selectivity for behaviorally relevant stimuli across cortical regions, yet the neural representation of these stimuli remains understudied. We investigated how information important for vocal learning in zebra finches is represented in regions analogous to infragranular layers of motor and auditory cortices during vs. after the developmentally regulated learning period. The results provide insight into how neurons in higher level stages of cortical processing represent stimuli important for motor skill learning.