Estrategias de comunicación enfermero-paciente: propuesta de un video educativo para estudiantes de enfermería / Nurse-patient communication strategies: A proposal of an educational video for Nursing students / Estratégias de comunicação enfermeiro-paciente: proposta de um vídeo educativo para estudantes de enfermagem

Objetivo: elaborar, validar y evaluar un video educativo sobre estrategias de comunicación enfermero-paciente para estudiantes de la carrera de enfermería. Método: se trata de un estudio metodológico, con diseño longitudinal y análisis cuantitativo. El público objetivo cumplió las etapas de preproducción, producción, postproducción y evaluación del video. Resultados: cinco enfermeras evaluaron el storyboard del video y consideraron que la comprensión del tema, los tópicos abordados y el lenguaje utilizado eran apropiados y relevantes para el tema. Otras cinco enfermeras consideraron que la calidad de la técnica audiovisual utilizada, el ambiente simulado, la caracterización de los personajes y el desarrollo de las estrategias de comunicación enfermero-paciente estaban presentes y eran adecuados. La versión final del video fue evaluada por nueve estudiantes de enfermería que tuvieron un nivel de comprensión de los ítems igual o superior al 96%. El video presenta las siguientes estrategias: Estrategias Generales de Comunicación, Comunicación Intercultural, NURSE, Tell me more, Ask-Tell-Ask, Comunicación Terapéutica y Comunicación de Malas Noticias. Conclusión: este estudio describe la creación de un video, la validación que realizaron del mismo los expertos y la evaluación del público objetivo, quienes consideraron que es un recurso educativo importante para el proceso de enseñanza-aprendizaje de las estrategias de comunicación. Los jueces y el público objetivo consideraron que el video era un instrumento válido para enseñar las estrategias de comunicación enfermero-paciente.

Objective: to create, validate and evaluate an educational video on nurse-patient communication strategies for undergraduate Nursing students. Method: this is a methodological study with a longitudinal design and quantitative analysis. The following stages were conducted: pre-production, production, post-production and evaluation of the video by the target population. Results: five female nurses evaluated the video storyboard and indicated understanding of the subject matter, the topics addressed and the language used as adequate and pertinent to the theme. Another five female nurses considered the following as present and desirable elements: quality of the audiovisual technique employed, simulated environment, characterization of the characters, and development of the nurse-patient communication strategies The final version of the video was evaluated by nine Nursing students that presented a level of item understanding of at least 96%. The video presents the following strategies: General communication strategies, Intercultural Communication, NURSE, Tell me more, Ask-Tell-Ask, Therapeutic Communication and Communicating Bad News. Conclusion: this study portrays the creation of a video, its validation by experts and its evaluation by the target population, which indicated it as a relevant educational resource for the teaching-learning process regarding communication strategies. Both the evaluators and the target population considered that the video is a valid instrument to teach content about the nurse-patient communication strategies.

Objetivo: construir, validar e avaliar um vídeo educativo sobre estratégias de comunicação enfermeiro-paciente para estudantes da graduação em enfermagem. Método: trata-se de um estudo metodológico, com delineamento longitudinal e análise quantitativa. Foram percorridas as etapas de pré-produção, produção, pós-produção e avaliação do vídeo pelo público-alvo. Resultados: cinco enfermeiras avaliaram o storyboard do vídeo e apontaram a compreensão do tema, os tópicos abordados e a linguagem utilizada como adequadas e pertinentes à temática. Outras cinco enfermeiras consideraram presentes e desejáveis: qualidade da técnica audiovisual empregada, ambiente simulado, caracterização das personagens e desenvolvimento das estratégias de comunicação enfermeiro-paciente. A versão final do vídeo foi avaliada por nove estudantes de enfermagem que apresentaram nível de compreensão dos itens igual ou acima de 96%. O vídeo apresenta as seguintes estratégias: Estratégias gerais de comunicação, Comunicação Intercultural, NURSE, Tell me more, Ask-Tell-Ask, Comunicação Terapêutica e Comunicação de Más Notícias. Conclusão: este estudo retrata a criação de um vídeo, sua validação por peritos e sua avaliação pelo público-alvo, que manifestaram tratar-se de um recurso educativo relevante para o processo de ensino-aprendizagem de estratégias de comunicação. Os juízes e o público alvo consideraram o vídeo como um instrumento válido para ensinar sobre as estratégias de comunicação enfermeiro-paciente.

How Do Postgraduate Trainees Prepare for New Clinical Learning Environments.

Background: Transitioning to a new clinical learning environment (CLE) requires learning new skills, roles, teams, workflows, and culture. We previously identified activities and questions to guide orientation in the categories of who, what, where, when, why, and how. There is limited literature about how learners plan for this transition. Objective: Describe how postgraduate trainees prepare for a clinical rotation, based on qualitative analysis of narrative responses within a simulated orientation experience. Methods: In June 2018, incoming residents and fellows in multiple specialties at Dartmouth Hitchcock Medical Center completed an online simulated orientation that asked how they intended to prepare for their first rotation. We used directed content analysis to code their anonymously collected responses using the orientation activities and question categories from our prior study. We used open coding to describe additional themes. Results: Narrative responses were available for 97% (116 of 120) of learners. While 46% (53 of 116) of learners listed preparations related to what happens in the CLE, responses fitting into other question categories were less frequent: who (9%, 11 of 116), where (7%, 8 of 116), when (4%, 5 of 116), why (<1%, 1 of 116), and how (0%, 0 of 116). Learners also infrequently described activities to aid the transition: reading orientation materials (11%, 13 of 116), speaking with a colleague (11%, 13 of 116), and arriving early (3%, 3 of 116). They more frequently commented on content reading (40%, 46 of 116), asking for advice (28%, 33 of 116), and self-care (12%, 14 of 116). Conclusions: When describing preparation for a new CLE, residents focused on tasks in the what category more than understanding the system and learning goals in other categories.

Learning collaboration at the primary-secondary care interface: a dual-method study to define design principles for interventions in postgraduate training programmes.

BACKGROUND: Collaboration between primary and secondary care (PSCC) is important to provide patient-centered care. Postgraduate training programmes should provide training to learn PSCC. With a design based research (DBR) approach design principles can be formulated for designing effective interventions in specific contexts. The aim of this study is to determine design principles for interventions aimed to learn PSCC in postgraduate training programmes. METHODS: DBR is characterised by multi-method studies. We started with a literature review on learning collaboration between healthcare professionals from different disciplines within the same profession (intraprofessional) to extract preliminary design principles. These were used to inform and feed group discussions among stakeholders: trainees, supervisors and educationalists in primary and secondary care. Discussions were audiotaped, transcribed and analysed using thematic analysis to formulate design principles. RESULTS: Eight articles were included in the review. We identified four preliminary principles to consider in the design of interventions: participatory design, work process involvement, personalised education and role models. We conducted three group discussions with in total eighteen participants. We formulated three design principles specific for learning PSCC in postgraduate training programmes: (1) The importance of interaction, being able to engage in a learning dialogue. (2) Facilitate that the learning dialogue concerns collaboration. (3) Create a workplace that facilitates engagement in a learning dialogue. In the last design principle we distinguished five subcategories: intervention emphasises the urge for PSCC and is based on daily practice, the presence of role models, the work context creates time for learning PSCC, learning PSCC is formalised in curricula and the presence of a safe learning environment. CONCLUSION: This article describes design principles for interventions in postgraduate training programmes with the aim to learn PSCC. Interaction is key in learning PSCC. This interaction should concern collaborative issues. Furthermore, it is essential to include the workplace in the intervention and make adjacent changes in the workplace when implementing interventions. The knowledge gathered in this study can be used to design interventions for learning PSCC. Evaluation of these interventions is needed to acquire more knowledge and adjust design principles when necessary.

Sex differences in learning and performing the Go/NoGo tasks.

BACKGROUND: The quality of learning and post-learning performances is critical for daily life. The behavioral flexibility is equally important for adapting the changing circumstances. The learning process requires repeated practices, which enhances prompt and proper behavioral responses, in turn, which promotes habits formation as well. Despite the well-documented sex differences in learning and performances, contradictory results were reported. A possible cause might be a systematic analysis due to specific research interests, regardless of the continuity of natural acquisition process. Here, we investigate the potential sex differences in learning, performances and adjustments of habited behaviors with regular and reversal Go/NoGo tasks. METHODS: Both male and female Sprague-Dawley rats were used in this study. All rats were trained for a regular rodent Go/NoGo task and a subset of rats were trained for a reversal rodent Go/NoGo task, both with strict elimination criteria. The behavioral performance data were stored in PC for off-line analysis. Multiple behavioral indices were analyzed for both passed and retired rats. RESULTS: The ability of learning the regular the reversal Go/NoGo tasks was similar for both male and female rats, however, the female rats took longer time to master the task principles in later stages for both tasks. In the regular Go/NoGo task, the female rats spent more time on completing the trial in performance optimization phases, which implied female rats were more cautious than male rats. Along with the progression of training, both male and female rats developed Go-preference strategies to perform the regular Go/NoGo task, which induced failure to meet the setting success criteria. The retired male rats exhibited shorter RTs and MTs than the retired female rats after developing Go-preference. Moreover, the time needed to complete the Go trials was significantly prolonged for male rats in the reversal Go/NoGo task. CONCLUSIONS: Overall, we conclude that distinctive strategies were employed in performing Go/NoGo tasks for both male and female rats. Male rats required less time to stabilize the performance in behavioral optimization phase. In addition, male rats were more accurate in estimating time elapsing. In contrast, female rats took more cautious considerations in performing the task, through which minimal influences were manifested in the reversal version of task.

A tool for measuring mental workload during prosthesis use: The Prosthesis Task Load Index (PROS-TLX).

When using a upper-limb prosthesis, mental, emotional, and physical effort is often experienced. These have been linked to high rates of device dissatisfaction and rejection. Therefore, understanding and quantifying the complex nature of workload experienced when using, or learning to use, a upper-limb prosthesis has practical and clinical importance for researchers and applied professionals. The aim of this paper was to design and validate a self-report measure of mental workload specific to prosthesis use (The Prosthesis Task Load Index; PROS-TLX) that encapsulates the array of mental, physical, and emotional demands often experienced by users of these devices. We first surveyed upper-limb prosthetic limb users who confirmed the importance of eight workload constructs taken from published literature and previous workload measures. These constructs were mental demands, physical demands, visual demands, conscious processing, frustration, situational stress, time pressure and device uncertainty. To validate the importance of these constructs during initial prosthesis learning, we then asked able-bodied participants to complete a coin-placement task using their anatomical hand and then using a myoelectric prosthesis simulator under low and high mental workload. As expected, using a prosthetic hand resulted in slower movements, more errors, and a greater tendency to visually fixate the hand (indexed using eye-tracking equipment). These changes in performance were accompanied by significant increases in PROS-TLX workload subscales. The scale was also found to have good convergent and divergent validity. Further work is required to validate whether the PROS-TLX can provide meaningful clinical insights to the workload experienced by clinical users of prosthetic devices.

How essentialist reasoning about language acquisition relates to educational myths and policy endorsements.

How people conceptualize learning is related to real-world educational consequences across many domains of education. Despite its centrality to the educational system, we know little about how the public reasons about language acquisition, and the potential consequences for their thinking about real-world issues (e.g., policy endorsements). The current studies examined people's essentialist beliefs about language acquisition (e.g., that language is innate and biologically based), then investigated how individual differences in these beliefs related to the endorsement of educational myths and policies. We probed several dimensions of essentialist beliefs, including that language acquisition is innate, genetically based, and wired in the brain. In two studies, we tested specific hypotheses regarding the extent to which people use essentialist thinking when reasoning about: learning a specific language (e.g., Korean), learning a first language more generally, and learning two or more languages. Across studies, participants were more likely to essentialize the ability to learn multiple languages than one's first language, and more likely to essentialize the learning of multiple languages and one's first language than the learning of a particular language. We also found substantial individual differences in the degree to which participants essentialized language acquisition. In both studies, these individual differences correlated with an endorsement of language-related educational neuromyths (Study 1 and pre-registered Study 2), and rejection of educational policies that promote multilingual education (Study 2). Together, these studies reveal the complexity of how people reason about language acquisition and its corresponding educational consequences.

From Student to Mentor in Clinical Practice: Health Care Students' Experiences in a Mentoring Course.

BACKGROUND: Clinical practice is a compulsory and essential part of health care studies in Finland. However, there are not enough trained mentors at clinical practice facilities. The objective of this mentoring course was to provide students training at the earliest possible stage. METHOD: Students from various health care disciplines participated in the mentoring course. The course was conducted entirely online, and learning methods included lectures, small-group exercises, and discussion forums. RESULTS: Students' responses indicated the mentoring course enabled them to learn about a mentor's role and about various mentoring theories. CONCLUSION: The mentoring course helped prepare health care students for their future work life and for the clinical mentoring of students. The course expanded students' views on a mentor's duties and helped them reflect on their personal strengths and weaknesses. [J Nurs Educ. 2023;62(5):298-301.].

Faculty as Learners: Neuroscience in Action.

BACKGROUND: Today's nursing education environment requires a contemporary approach to teaching and learning that consistently challenges nurse educators to develop their expertise and embrace advanced teaching techniques. The application of neuroscience principles is one such approach. METHOD: For this descriptive study, nurse faculty (N = 16) attending a 10-week faculty development course were recruited to participate in focus groups. Discussion topics included the influences of a program using neuroscience principles to enrich an educator's teaching practice. RESULTS: Qualitative content analysis resulted in a model depicting a safe learning container contributing to a cognitive shift from teaching to learning in mind. Safe learning included communication of shared vulnerability, intentionality, and transparency. The shift required energy, risk taking, and time. CONCLUSION: The findings contribute to an increased understanding of how neuroscience principles are perceived through direct application by faculty using a novel approach to teaching and learning, thus advancing the science of nursing education. [J Nurs Educ. 2023;62(5):291-297.].

QR code technology in individual identification training provides an introduction in hands-on forensic DNA genotyping to medical students.

BACKGROUND: Forensic biology is a subject in the field of forensic science that stresses practical teaching and training in laboratory skills. Visualization of deoxyribonucleic acid (DNA) profiles is important in individual identification and is easily performed by well-trained examiners. Therefore, developing a novel training project for obtaining individual DNA profiles can improve the quality of teaching for medical students or trainees. DNA profiles based on quick response (QR) codes can also be applied to practical teaching and operation training for individual identification. METHODS: A novel training project was developed through an experimental course in forensic biology. Blood samples and buccal swabs with oral epithelial cells, as used in the forensic DNA laboratory, were obtained from medical students at Fujian Medical University. DNA was isolated, and a number of short tandem repeat (STR) loci were used as genetic markers to generate DNA profiles. The students converted DNA profiles and individual information into a QR code. The QR code could then be scanned by a mobile phone for consulting and retrieval. Gene identity cards with QR codes were produced and provided to every student. The participation rate and passing rate of students who participated in the novel training project were calculated and compared with those of students in the traditional experimental course, and a chi-square test was carried out by SPSS 23.0 software to evaluate the teaching effectiveness. p < 0.05 indicated significant differences. In addition, a survey was conducted to investigate the likelihood of using of gene identity cards with QR codes in the future. RESULTS: A total of 54 of 91 medical students who studied forensic biology participated in the novel training project in 2021. Only 31 of 78 students who studied forensic biology participated in the traditional experimental course in 2020. The participation rate in the novel training project was 24% higher than that of the traditional experimental course. The participants in the novel training project showed better performance in forensic biological handling techniques. The passing rate of the students in the forensic biology course with the novel training project was approximately 17% higher than that of the students in the former course. The participation rates and passing rates of the two groups were significantly different (χ = 6.452, p = 0.008 and χ = 11.043, p = 0.001). In the novel training project, all participants made 54 gene identity cards with QR codes. Furthermore, in the DNA profiles of four African students who participated, we found two rare alleles that were not discovered in Asians. The survey showed that the use of gene identity cards with QR codes was accepted by most participants, and the likelihood of future utilization was 78%. CONCLUSION: We established a novel training project to promote the learning activities of medical students in experimental forensic biology courses. The participants showed great interest in using gene identity cards with QR codes to store general individual identity information and DNA profiles. They also examined the genetic population differences between different races based on DNA profiles. Hence, the novel training project could be useful for training workshops, forensic experimental courses, and medical big data research.

Generative models of birdsong learning link circadian fluctuations in song variability to changes in performance.

Learning skilled behaviors requires intensive practice over days, months, or years. Behavioral hallmarks of practice include exploratory variation and long-term improvements, both of which can be impacted by circadian processes. During weeks of vocal practice, the juvenile male zebra finch transforms highly variable and simple song into a stable and precise copy of an adult tutor's complex song. Song variability and performance in juvenile finches also exhibit circadian structure that could influence this long-term learning process. In fact, one influential study reported juvenile song regresses towards immature performance overnight, while another suggested a more complex pattern of overnight change. However, neither of these studies thoroughly examined how circadian patterns of variability may structure the production of more or less mature songs. Here we relate the circadian dynamics of song maturation to circadian patterns of song variation, leveraging a combination of data-driven approaches. In particular we analyze juvenile singing in learned feature space that supports both data-driven measures of song maturity and generative developmental models of song production. These models reveal that circadian fluctuations in variability lead to especially regressive morning variants even without overall overnight regression, and highlight the utility of data-driven generative models for untangling these contributions.

Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review.

Medical time series are sequential data collected over time that measures health-related signals, such as electroencephalography (EEG), electrocardiography (ECG), and intensive care unit (ICU) readings. Analyzing medical time series and identifying the latent patterns and trends that lead to uncovering highly valuable insights for enhancing diagnosis, treatment, risk assessment, and disease progression. However, data mining in medical time series is heavily limited by the sample annotation which is time-consuming and labor-intensive, and expert-depending. To mitigate this challenge, the emerging self-supervised contrastive learning, which has shown great success since 2020, is a promising solution. Contrastive learning aims to learn representative embeddings by contrasting positive and negative samples without the requirement for explicit labels. Here, we conducted a systematic review of how contrastive learning alleviates the label scarcity in medical time series based on PRISMA standards. We searched the studies in five scientific databases (IEEE, ACM, Scopus, Google Scholar, and PubMed) and retrieved 1908 papers based on the inclusion criteria. After applying excluding criteria, and screening at title, abstract, and full text levels, we carefully reviewed 43 papers in this area. Specifically, this paper outlines the pipeline of contrastive learning, including pre-training, fine-tuning, and testing. We provide a comprehensive summary of the various augmentations applied to medical time series data, the architectures of pre-training encoders, the types of fine-tuning classifiers and clusters, and the popular contrastive loss functions. Moreover, we present an overview of the different data types used in medical time series, highlight the medical applications of interest, and provide a comprehensive table of 51 public datasets that have been utilized in this field. In addition, this paper will provide a discussion on the promising future scopes such as providing guidance for effective augmentation design, developing a unified framework for analyzing hierarchical time series, and investigating methods for processing multimodal data. Despite being in its early stages, self-supervised contrastive learning has shown great potential in overcoming the need for expert-created annotations in the research of medical time series.

A Real-Time Learning Analytics Dashboard for Automatic Detection of Online Learners' Affective States.

Students' affective states describe their engagement, concentration, attitude, motivation, happiness, sadness, frustration, off-task behavior, and confusion level in learning. In online learning, students' affective states are determinative of the learning quality. However, measuring various affective states and what influences them is exceedingly challenging for the lecturer without having real interaction with the students. Existing studies primarily use self-reported data to understand students' affective states, while this paper presents a novel learning analytics system called MOEMO (Motion and Emotion) that could measure online learners' affective states of engagement and concentration using emotion data. Therefore, the novelty of this research is to visualize online learners' affective states on lecturers' screens in real-time using an automated emotion detection process. In real-time and offline, the system extracts emotion data by analyzing facial features from the lecture videos captured by the typical built-in web camera of a laptop computer. The system determines online learners' five types of engagement ("strong engagement", "high engagement", "medium engagement", "low engagement", and "disengagement") and two types of concentration levels ("focused" and "distracted"). Furthermore, the dashboard is designed to provide insight into students' emotional states, the clusters of engaged and disengaged students', assistance with intervention, create an after-class summary report, and configure the automation parameters to adapt to the study environment.

A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions.

Multimodal emotion recognition has gained much traction in the field of affective computing, human-computer interaction (HCI), artificial intelligence (AI), and user experience (UX). There is growing demand to automate analysis of user emotion towards HCI, AI, and UX evaluation applications for providing affective services. Emotions are increasingly being used, obtained through the videos, audio, text or physiological signals. This has led to process emotions from multiple modalities, usually combined through ensemble-based systems with static weights. Due to numerous limitations like missing modality data, inter-class variations, and intra-class similarities, an effective weighting scheme is thus required to improve the aforementioned discrimination between modalities. This article takes into account the importance of difference between multiple modalities and assigns dynamic weights to them by adapting a more efficient combination process with the application of generalized mixture (GM) functions. Therefore, we present a hybrid multimodal emotion recognition (H-MMER) framework using multi-view learning approach for unimodal emotion recognition and introducing multimodal feature fusion level, and decision level fusion using GM functions. In an experimental study, we evaluated the ability of our proposed framework to model a set of four different emotional states (Happiness, Neutral, Sadness, and Anger) and found that most of them can be modeled well with significantly high accuracy using GM functions. The experiment shows that the proposed framework can model emotional states with an average accuracy of 98.19% and indicates significant gain in terms of performance in contrast to traditional approaches. The overall evaluation results indicate that we can identify emotional states with high accuracy and increase the robustness of an emotion classification system required for UX measurement.

Changes in resource perception throughout the foraging visit contribute to task specialization in the honey bee Apis mellifera.

Division of labor is central to the ecological success of social insects. Among foragers of the honey bee, specialization for collecting nectar or pollen correlates with their sensitivity to sucrose. So far, differences in gustatory perception have been mostly studied in bees returning to the hive, but not during foraging. Here, we showed that the phase of the foraging visit (i.e. beginning or end) interacts with foraging specialization (i.e. predisposition to collect pollen or nectar) to modulate sucrose and pollen sensitivity in foragers. In concordance with previous studies, pollen foragers presented higher sucrose responsiveness than nectar foragers at the end of the foraging visit. On the contrary, pollen foragers were less responsive than nectar foragers at the beginning of the visit. Consistently, free-flying foragers accepted less concentrated sucrose solution during pollen gathering than immediately after entering the hive. Pollen perception also changes throughout foraging, as pollen foragers captured at the beginning of the visit learned and retained memories better when they were conditioned with pollen + sucrose as reward than when we used sucrose alone. Altogether, our results support the idea that changes in foragers' perception throughout the foraging visit contributes to task specialization.

Neurocomputational mechanisms underlying fear-biased adaptation learning in changing environments.

Humans are able to adapt to the fast-changing world by estimating statistical regularities of the environment. Although fear can profoundly impact adaptive behaviors, the computational and neural mechanisms underlying this phenomenon remain elusive. Here, we conducted a behavioral experiment (n = 21) and a functional magnetic resonance imaging experiment (n = 37) with a novel cue-biased adaptation learning task, during which we simultaneously manipulated emotional valence (fearful/neutral expressions of the cue) and environmental volatility (frequent/infrequent reversals of reward probabilities). Across 2 experiments, computational modeling consistently revealed a higher learning rate for the environment with frequent versus infrequent reversals following neutral cues. In contrast, this flexible adjustment was absent in the environment with fearful cues, suggesting a suppressive role of fear in adaptation to environmental volatility. This suppressive effect was underpinned by activity of the ventral striatum, hippocampus, and dorsal anterior cingulate cortex (dACC) as well as increased functional connectivity between the dACC and temporal-parietal junction (TPJ) for fear with environmental volatility. Dynamic causal modeling identified that the driving effect was located in the TPJ and was associated with dACC activation, suggesting that the suppression of fear on adaptive behaviors occurs at the early stage of bottom-up processing. These findings provide a neuro-computational account of how fear interferes with adaptation to volatility during dynamic environments.

Reactivation-induced memory integration prevents proactive interference in perceptual learning.

We acquire perceptual skills through experience to adapt ourselves to the changing environment. Accomplishing an effective skill acquisition is a main purpose of perceptual learning research. Given the often observed learning effect specificity, multiple perceptual learnings with shared parameters could serve to improve the generalization of the learning effect. However, the interference between the overlapping memory traces of different learnings may impede this effort. Here, we trained human participants on an orientation discrimination task. We observed a proactive interference effect that the first training blocked the second training at its untrained location. This was a more pronounced effect than the well-known location specificity in perceptual learning. We introduced a short reactivation of the first training before the second training and successfully eliminated the proactive interference when the second training was inside the reconsolidation time window of the reactivated first training. Interestingly, we found that practicing an irrelevant task at the location of the second training immediately after the reactivation of the first training could also restore the effect of the second training but in a smaller magnitude, even if the second training was conducted outside of the reconsolidation window. We proposed a two-level mechanism of reactivation-induced memory integration to account for these results. The reactivation-based procedure could integrate either the previously trained and untrained locations or the two trainings at these locations, depending on the activated representations during the reconsolidation process. The findings provide us with new insight into the roles of long-term memory mechanisms in perceptual learning.

Incorporating health equity in the neurology curriculum: Our experience.

BACKGROUND: Social determinants of health (SDoH) are responsible for 80-90% of modifiable contributors to health, yet this material may not be covered in preclinical medical school neuroscience courses. OBJECTIVE: To describe how topics related to SDoH and inclusion, diversity, equity, anti-racism, and social justice (IDEAS) were incorporated into a preclinical neuroscience course. METHODS: IDEAS concepts and guided discussions were added to our existing case-based curriculum, and guest speakers were invited to discuss how these concepts are relevant in the field of neurology. RESULTS: Most students felt that content and discussions were integrated thoughtfully. Students also found it helpful to learn and observe how faculty address these topics in real-world cases. CONCLUSION: The additional content related to SDoH and IDEAS is feasible. Faculty with or without expertise in IDEAS concepts were able to utilize these cases and generate discussion without detracting from the neuroscience course material.

Combined Peripheral Nerve Stimulation and Controllable Pulse Parameter Transcranial Magnetic Stimulation to Probe Sensorimotor Control and Learning.

Skilled motor ability depends on efficiently integrating sensory afference into the appropriate motor commands. Afferent inhibition provides a valuable tool to probe the procedural and declarative influence over sensorimotor integration during skilled motor actions. This manuscript describes the methodology and contributions of short-latency afferent inhibition (SAI) for understanding sensorimotor integration. SAI quantifies the effect of a convergent afferent volley on the corticospinal motor output evoked by transcranial magnetic stimulation (TMS). The afferent volley is triggered by the electrical stimulation of a peripheral nerve. The TMS stimulus is delivered to a location over the primary motor cortex that elicits a reliable motor-evoked response in a muscle served by that afferent nerve. The extent of inhibition in the motor-evoked response reflects the magnitude of the afferent volley converging on the motor cortex and involves central GABAergic and cholinergic contributions. The cholinergic involvement in SAI makes SAI a possible marker of declarative-procedural interactions in sensorimotor performance and learning. More recently, studies have begun manipulating the TMS current direction in SAI to tease apart the functional significance of distinct sensorimotor circuits in the primary motor cortex for skilled motor actions. The ability to control additional pulse parameters (e.g., the pulse width) with state-of-the-art controllable pulse parameter TMS (cTMS) has enhanced the selectivity of the sensorimotor circuits probed by the TMS stimulus and provided an opportunity to create more refined models of sensorimotor control and learning. Therefore, the current manuscript focuses on SAI assessment using cTMS. However, the principles outlined here also apply to SAI assessed using conventional fixed pulse width TMS stimulators and other forms of afferent inhibition, such as long-latency afferent inhibition (LAI).

Assessing Sustainability of State-Led Action Plans for the Opioid Use Disorder, Maternal Outcomes, and Neonatal Abstinence Syndrome Initiative Learning Community, 2018-2021.

Objective(s): The opioid crisis affects the health and health care of pregnant and postpartum people and infants prenatally exposed to substances. A Learning Community (LC) among 15 states was implemented to improve services for these populations. States drafted action plans with goals, strategies, and activities. Materials and Methods: Qualitative data from action plans were analyzed to assess how reported activities aligned with focus areas each year. Year 2 focus areas were compared with year 1 to identify shifts or expansion of activities. States self-assessed progress at the LC closing meeting, reported goal completion, barriers and facilitators affecting goal completion, and sustainment strategies. Results: In year 2, many states included activities focused on access to and coordination of quality services (13 of 15 states) and provider awareness and training (11 of 15). Among 12 states participating in both years of the LC, 11 expanded activities to include at least one additional focus area, adding activities in financing and coverage of services (n = 6); consumer awareness and education (n = 5); or ethical, legal, and social considerations (n = 4). Of the 39 goals developed by states, 54% were completed, and of those not completed, 94% had ongoing activities. Barriers to goal completion included competing priorities and pandemic-related constraints, whereas facilitators involving use of the LC as a forum for information-sharing and leadership-supported goal completion. Sustainability strategies were continued provider training and partnership with Perinatal Quality Collaboratives. Conclusion: State LC participation supported sustainment of activities to improve health and health care for pregnant and postpartum people with opioid use disorder and infants prenatally exposed to substances.

Task-specific modulation of corticospinal neuron activity during motor learning in mice.

Motor skill learning relies on the plasticity of the primary motor cortex as task acquisition drives cortical motor network remodeling. Large-scale cortical remodeling of evoked motor outputs occurs during the learning of corticospinal-dependent prehension behavior, but not simple, non-dexterous tasks. Here we determine the response of corticospinal neurons to two distinct motor training paradigms and assess the role of corticospinal neurons in the execution of a task requiring precise modulation of forelimb movement and one that does not. In vivo calcium imaging in mice revealed temporal coding of corticospinal activity coincident with the development of precise prehension movements, but not more simplistic movement patterns. Transection of the corticospinal tract and optogenetic regulation of corticospinal activity show the necessity for patterned corticospinal network activity in the execution of precise movements but not simplistic ones. Our findings reveal a critical role for corticospinal network modulation in the learning and execution of precise motor movements.