Acquisition Phase Research Articles

The Effects of Contextual Interference Learning on the Acquisition and Relatively Permanent Gains in Skilled Performance: A Critical Systematic Review with Multilevel Meta-Analysis

The paradoxical effects of contextual interference (CI) assume that high CI practices hinder performances during the acquisition phase of learning, while providing more permanent enhancement during the retention phase. This meta-analysis evaluates the possible generalizability of the CI phenomenon in physical education (PE) and sports contexts, with regard to the acute and relatively permanent gains in performance outcomes. A total of 933 records from five electronic databases were screened using the PICOS criteria, of which 36 studies were selected. Outcomes evaluating the performance changes (Δ) from pre-post, post-retention, and pre-retention tests were included. Out of 183 overall pooled outcomes, Δ in only 37 performance outcomes (20%) agreed with the paradoxical CI effects on the acquisition or the relatively permanent gains. No statistically significant overall difference was detected for “Δ pre-post” between low (blocked) (28.9 ± 59.5%) and high (random/serial) (27.9 ± 52.8%) CI (effect size (ES) = 0.1, p = 0.35). An overall significant difference (p = 0.001) in favor of high CI practice was detected in “Δ post-retention.” However, this difference was not large enough (ES = − 0.35) to produce an overall greater long-term gain following high (24.56 ± 4.4%), compared to low (21.9 ± 9.8%) CI (ES = − 0.13, p = 0.18). Out of 10 tested variables, only the age significantly moderated both CI effects (p < 0.0001 for both Δ pre-post and Δ pre-retention) and the female proportion significantly moderated only the first CI effect (p = 0.009 for Δ pre-post). These findings found very limited evidence supporting the recommendation to employ high CI practices to gain a longer-term performance advantage, calling into question the generalization of the CI model to PE and sports practices. High-quality follow-up research evaluating alternative motor-learning models are therefore needed.

New technologies for seismic resolution enhancement and bandwidth expansion: Applications in SE Asian Basin

Over the last few years, the petroleum giant and its partner have effectively implemented new marine seismic technologies in this part of the world. During the acquisition phase, the industry has observed the introduction of novel broadband acquisition techniques such as dual-sensor cable, multiple towed streamers (over/under), slanted and variable depth streamers, and isometric areal recording. The application of these techniques has resulted in a noteworthy enhancement of the recorded data’s bandwidth. The focus of this paper is on the improvement of seismic bandwidth expansion resulting from advancements in marine broadband acquisition, innovative processing techniques, and inversion methodology. The outcome leads to a noteworthy enhancement in the vertical resolution, which proves to be valuable in the identification of thin stacked pay beds and the creation of a reservoir model that is constrained by seismic data. This paper focuses on the imaging aspect, particularly the complex structures. The utilization of wide and full azimuth (Circular) recording and the resolution of Gas wipeout issues through seabed acquisition with Ocean Bottom Cables (OBC) have been advantageous. By utilizing de-ghosted or far-field signature modeled techniques on the processing side, it is possible to increase the bandwidth for both legacy and modern high-quality data, such as Q-marine. A novel de-convolution technique has been developed, which can enhance signal frequency to a considerable extent while minimizing or eliminating any impact on noise. The article presents various wavelet transform techniques that can effectively enhance the signal-to-noise ratio (S/N). The methods are noteworthy due to their ability to be swiftly executed post-stack while incurring minimal expenses. Further, the inversion techniques, with a focus on stochastic elastic inversion, generates broadband data, enabling the identification of pay sand that falls below the quarter of wavelength criteria. The developed techniques are novel and have been validated using authentic Offshore Malaysia data.

Enhancing Agricultural Sustainability: Automated Crop Disease Detection through Image Processing Techniques

Abstract: The increasing demand for sustainable and high- yielding agricultural practices has driven the need for advanced technologies in crop disease detection. This paper presents a novel approach to automated crop disease detection utilizing stateof-the-art image processing techniques. In the image acquisition phase, high-resolution images of crops are captured using modern imaging devices. These images are then subjected to preprocessing techniques, including resizing, normalization, and filtering, to enhance their quality. Feature extraction follows, where relevant information is derived from the preprocessed images using advanced image processing algorithms, such as texture analysis and color-based feature extraction. The heart of the proposed system lies in the classification phase, where a machine learning or deep learning model is trained on a curated dataset comprising labeled examples of healthy and diseased crops. The integration of this automated crop disease detection system with existing agricultural frameworks provides real-time or periodic monitoring capabilities. This integration empowers farmers with timely and precise information, enabling early intervention and targeted treatment strategies to minimize crop losses. This research contributes to the ongoing efforts in sustainable agriculture by providing a reliable and efficient solution for early crop disease detection.

Artificial Intelligence Quantification of Enhanced Synovium Throughout the Entire Hand in Rheumatoid Arthritis on Dynamic Contrast-Enhanced MRI.

Challenges persist in achieving automatic and efficient inflammation quantification using dynamic contrast-enhanced (DCE) MRI in rheumatoid arthritis (RA) patients. To investigate an automatic artificial intelligence (AI) approach and an optimized dynamic MRI protocol for quantifying disease activity in RA in whole hands while excluding arterial pixels. Retrospective. Twelve RA patients underwent DCE-MRI with 27 phases for creating the AI model and tested on images with a variable number of phases from 35 RA patients. 3.0 T/DCE T1-weighted gradient echo sequence (mDixon, water image). The model was trained with various DCE-MRI time-intensity number of phases. Evaluations were conducted for similarity between AI segmentation and manual outlining in 51 ROIs with synovitis. The relationship between synovial volume via AI segmentation with rheumatoid arthritis magnetic resonance imaging scoring (RAMRIS) across whole hands was then evaluated. The reference standard was determined by an experienced musculoskeletal radiologist. Area under the curve (AUC) of receiver operating characteristic (ROC), Dice and Spearman's rank correlation coefficients, and interclass correlation coefficient (ICC). A P-value <0.05 was considered statistically significant. A minimum of 15 phases (acquisition time at least 2.5 minutes) was found to be necessary. AUC ranged from 0.941 ± 0.009 to 0.965 ± 0.009. The Dice score was 0.557-0.615. Spearman's correlation coefficients between the AI model and ground truth were 0.884-0.927 and 0.736-0.831, for joint ROIs and whole hands, respectively. The Spearman's correlation coefficient for the additional test set between the model trained with 15 phases and RAMRIS was 0.768. The AI-based classification model effectively identified synovitis pixels while excluding arteries. The optimal performance was achieved with at least 15 phases, providing a quantitative assessment of inflammatory activity in RA while minimizing acquisition time. 3 TECHNICAL EFFICACY: Stage 2.

Cardiac MRI T2 mapping with heart phase acquisition and improved motion-sensitized driven equilibrium blood suppression

Abstract Background Cardiovascular magnetic resonance (CMR) imaging relies on T2 mapping to assess myocardial tissue properties. However, T2 maps are subject to motion artifacts and signal interference, prompting exploration of techniques such as gradient-spin-echo (GraSE) sequences, heart phase acquisition, and dark blood (DB) imaging to improve image quality and reliability. Purpose This prospective study evaluates the T2 relaxation time (T2) variability and the image quality of T2 maps obtained in end-systole and end-diastole with and without fat saturation (FS), using GraSE sequence in CMR imaging. Furthermore, improved motion-sensitized driven-equilibrium (iMSDE) was compared with double inversion recovery (DIR) as an alternative DB technique. Materials and Methods Five variants of the DB GraSE sequence were developed and performed on a 1.5 Tesla MRI scanner. Forty-four healthy volunteers prospectively underwent the following sequences: GraSE in end-diastole (GraSE-ED), GraSE-ED with FS (GraSE-ED-FS), GraSE in end-systole (GraSE-ES), GraSE-ES with FS (GraSE-ES-FS), and commercial GraSE-ED (GraSE-CO). Four GraSE variants utilized iMSDE technique, while GraSE-CO used DIR for blood suppression. T2, image quality, and visual artifacts were measured. Results Ten volunteers were excluded due to image artifacts or missing datasets. Among the remaining 34 participants, the mean global T2 was measured. No significant differences were seen among all variants (P &amp;gt; .05 for all comparisons). Intra- and inter-reader agreement of global T2 values for all GraSE sequence were very good (r &amp;gt; 0.8 for both). Image quality was rated moderate or good for all variants of GraSE sequences. A lower incidence of artifacts was observed in end-systolic compared to end-diastolic imaging. Conclusion All variants of GraSE sequence are highly reproducible and myocardial T2 values did not significantly differ with heart phase. iMSDE is feasible as an alternative DB technique for T2 mapping enabling acquisition in systole, which shows a lower incidence of artifacts compared to diastole.

The Neurochemical Anatomy of Runway Acquisition and Extinction

Abstract: A review is presented as to the neurochemical basis of the straight runway task, usually consisting of an acquisition phase followed by an extinction phase. During the acquisition of the appetitive runway task, running speeds from the start box to the goal box progressively increase over trials and then decrease when the reward is withheld. Runway extinction is susceptible to lesions of the limbic system, including the medial frontal cortex, the hippocampus, the septum, the amygdala, and the dorsomedial thalamus. When specific neurotransmitter systems are examined, extinction was delayed when noradrenaline transmission was impeded, perhaps involving noradrenergic projections to the hippocampus and neocortex. Extinction was likewise delayed after either facilitation or blocking of dopamine transmission, a result implicating an inverted U-shaped function caused by dopamine’s role in behavioral activation or reward processes. Extinction was also delayed by indirect GABAA receptor agonists injected during acquisition, explained by druginduced disinhibitory tendencies. This simple paradigm may provide information about the effects of a physiological manipulation on both cognition and emotion.

Comparison of Learning Golf Putting Skill in Different Choices: A Test of the OPTIMAL Theory

Background: The OPTIMAL theory of motor learning posits that autonomy support (AS), enhanced expectancies (EE), and an external focus of attention (EF) facilitate improved motor learning and performance. However, the applicability of this theory has not been investigated by simultaneously considering all three factors in task-relevant and irrelevant choices in learning golf skills. Objectives: The purpose of this study was to investigate the sequential implementation of AS, EE and EF factors in relevant and irrelevant choices on golf putting tasks. Methods: During a pre-test under neutral conditions and acquisition phase (six blocks), thirty-six participants attempted to putt golf balls into a hole cup placed in the center of four circles with different diameters on the green. The participants were divided into two groups for optimized practices: The optimal group with task-relevant choices and the optimal group with task-irrelevant choices, both groups performed the optimized factors (EE, AS, and EF) successively and identically to each other. After 24 hours, learning was measured by a retention test. Results: The optimized group with relevant choices performed better than the optimized group with irrelevant choices in the autonomy variable. In the retention test, the aiming accuracy score of both groups increased compared to the pre-test, but no significant difference was observed in the learning rate between the two optimized groups. Conclusions: The present findings demonstrate that the key factors of OPTIMAL theory can be further benefited by task-related choices during practice for beginners' learning.

“In densification we trust” – on the role of abstract space in the production of urban densification in the Alpine Rhine Valley

ABSTRACT This paper draws on Henri Lefebvre’s conception of abstract space to analyze how socio-territorial relations between a variety of public and private actors shape the transformation of the built environment of the Alpine Rhine Valley in western Austria through urban densification. First, the paper conceptualizes abstract space through the duality of land, which is both traded as a market commodity and regulated by the various layers of the state. Lefebvre’s concept is further refined by making it volumetric, in order to analyze how conceptualizations of urban density are the site of negotiations and trade-offs that irrationalize the rational nature of abstract space. Six socio-territorial relations were identified during typical phases of land acquisition and project development, derived from the empirical material resulting from 20 interviews with key stakeholders. The paper thus demonstrates how socio-territorial relations are essential for the conceptualization of urban densification projects, as well as how volumetric abstract space can contribute to de-naturalizing our understanding of the transformation of the built environment.

Memory protective effect of Phyllanthus emblica against scopolamine induced spatial memory loss in male Long Evan Rats tested by Radial Arm Maze

Background: Dementia is the commonest problem of middle aged and elderly subjects due to age related changes and oxidative stress. Many traditional herbal agents including Emblica Officinalis (Phyllantus Emblica) demonstrated its benefit against memory loss. Objective: To investigate the protective effect of Ethanolic extract of Phyllantus Emblica (EEPE) or Emblica Officinalis in scopolamine induced memory impaired male Long Evan rats. Methods: This animal behavioral study was carried out on total 18 male long Evan rats weighing 300-400gm. According to treatment they were divided into NS (control) group (n=6, normal saline 5ml/kg) Sco(n=6; Scopolamine 2mg/kg) and PE(n=6; EEPE 400mg/kg+ Scopolamine 2mg/kg).This experiment was conducted for total 33 days. After 7 days acclimatization NS group and PE rats were treated with normal saline and EEPE respectively for consecutive 26 days. Scopolamine was given to sco group and PE group from day 22 to 26 (5 days during acquisition phase. Spatial memory (working and reference memory error) was assessed by 8 arm radial arm maze (RAM). Statistical analysis was done by ANOVA followed by Bonferroni’s post hoc test. Result: Working memory error (WME) as well as reference memory error (RME) was found significantly higher in scopolamine treated rats compared to normal memory as well as PE pretreated rats whereas no significant difference was found in WME and RME between normal memory rats and PE pre- treated rats. Conclusion: Phyllanthus Emblica can prevent memory impairment in scopolamine induced memory loss in Long Evan rats. J Bangladesh Soc Physiol 2022;17(2): 101-110

Overburdening associations: The dependency of psychopathy-related acquisitional learning deficits on processing load

Psychopathic personality traits have been identified as an important predictor of associative learning capacity. Prior work has associated psychopathy with deficits when adapting learned associations in response to novel information. However, findings are inconsistent and are hypothesised to vary as a function of the processing load created by different experimental paradigms. We tested this hypothesis by examining the association between psychopathic traits and Stimulus-Response-Outcome contingency learning whilst manipulating contextual processing load. In experiments one and two, participants completed three versions of a configural object discrimination task that required participants to use increasingly multidimensional learning cues. Across both experiments, it was found that elevated levels of psychopathic traits were associated with a lesser capacity to form S-R-O associations in the bidimensional but not tridimensional versions of the learning task. This suggests psychopathy-related learning deficits may vary as a function of the processing load inherent to the bidimensional learning environment, rather than the type of learning taking place. This provides some of the first experimental evidence that psychopathic learning deficits are detectable during the acquisition phase of learning.

Holographic voice-interactive system with Taylor Rayleigh-Sommerfeld based point cloud gridding

In recent years, intelligent voice interaction technology and holographic display technology have garnered significant attention. We propose a holographic voice-interactive system. The holographic voice interaction system can provide users with a virtual assistant proficient in accurately handling user voice queries, facilitating smoother interactions. Additionally, users can interact with virtual objects via holographic projection, enhancing realism and engagement. In this research, we introduce the U-blocks and U-net based reverse attention residual algorithm to generate more effective and accurate point cloud datasets during the acquisition phase. Furthermore, we integrate the ChatGLM pre-trained language model as the core module for voice interaction in the holographic display system, covering aspects such as text interaction and output control. Additionally, we propose a Taylor Rayleigh-Sommerfeld point cloud gridding method aimed at improving the computational speed of hologram generation. We validate the feasibility of our proposed methods through numerical simulations and optical experiments.

Previous exercise training history reduces drug addiction through brain orexinergic pathway in rodents: Conditioned Place Preference (CPP) model

Methamphetamine, commonly known as METH, is a potent and highly addict-forming stimulant substance that has a significant impact on the brain and poses a substantial health challenge in certain areas. Previous studies have pointed to the involvement of orexinergic pathway in reward-related behavior which is directly involved in acquisition phase of METH induced conditioned place preference (CPP). Besides, while numerous studies have explored the impact of exercise training on METH addiction, there is a limited body of research investigating as a form of preconditioning to prevent drug dependence. In this study, 48 male Wistar rats were assigned into six groups: Saline control, METH1 control, METH2 control, METH1 exercise, METH2 exercise. The exercise groups underwent eight weeks of forced running wheel training, five days a week, at 65% of their maximum running speed (Vmax). Following preconditioning with exercise training, METH groups received intraperitoneal (IP) methamphetamine injections at doses of 1 mg/kg (METH1 control, METH1 exercise) and 2 mg/kg (METH2 control, METH2 exercise) for five days to induce addiction (acquisition phase) according to the CPP model. Immediately following conditioning, hippocampus tissues were extracted to measure OX1R levels using western blotting. The results of the study indicated the conditioning of rats in both METH1 and METH2 control groups while preconditioning with exercise training prevent the addiction with low does of METH and only induced acquisition with double does in METH2 exercise group represented with reduced CPP scores in compare with METH2 control group (p&lt;0.05). Molecular analysis revealed a significant increased in OX1R levels according to METH administration in hippocampus, although exercise training appeared to inhibit OX1R expression. Only conditioning with a high dose of METH was able to increase OX1R levels significantly. As these molecular results are in line with CPP scores it could further support the role of orexinergic pathway in addiction behavior in hippocampus. Furthermore, previous exercise training seems to affect this pathway and prevent conditioning with METH in an effective manner which suggests adaptation in the mesolimbic reward pathway protecting against methamphetamine addiction. Further investigation is warranted to find out the effectiveness of different training interventions in orexinergic pathway to inhibit dependance to METH. In this study, there was no external funding or financial support provided. This work was entirely self-funded by the authors. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Exploring hydrogen metallurgy to CO2 emissions reduction in China’s iron and steel production: An analysis based on the life cycle CO2 emissions – LEAP model

Previous research has primarily assessed the environmental impact of hydrogen metallurgy from technical or project perspectives, lacking a life cycle perspective. The impact of continued cleanliness of the hydrogen production mix and power generation structure on carbon dioxide (CO2) emissions from the hydrogen metallurgy production process has not been investigated on a medium to long-term scale, which does not provide an adequate and comprehensive view of the contribution of hydrogen metallurgy to China’s emissions reduction, resulting in short-sighted technology choices. To address this lack, we construct a bottom-up energy system model that combines life cycle CO2 emissions with long-range energy alternatives planning (LEAP), including iron and steel (IS) production, power generation, and hydrogen production. Setting development paths of two typical hydrogen metallurgy technologies, including business-as-usual (BAU) and hydrogen metallurgy (HM) scenarios, we carefully evaluate the CO2 emissions impact of hydrogen metallurgy from a whole industry perspective and in each IS production stage. The results suggest that the hydrogen metallurgy transition will help the iron and steel industry (ISI) to achieve peak and deep carbon reduction. Under the HM scenario, CO2 emissions from the ISI would decrease to 816.28 million tons (Mt) in 2050, representing an additional 281.13 Mt reduction over the BAU scenario. Hydrogen metallurgy can accelerate CO2 reduction in raw material acquisition and material processing phases but may increase CO2 emissions in manufacturing and recycling phases. In 2050, hydrogen metallurgy will contribute an additional 12.49 Mt and 300.95 Mt of CO2 reduction to the raw material acquisition and material processing phases, respectively. However, CO2 emissions in the manufacturing and recycling phases would be 32.15 Mt and 0.22 Mt more than in the BAU scenario due to the increased electricity consumption and scrap demand of electric arc furnace (EAF) steelmaking, respectively. Over time, the optimization of hydrogen production and power supply mix will gradually reduce CO2 emissions in each IS production process. In 2050, the CO2 intensity of the hydrogen-rich shaft furnace direct reduced iron (H2-DRI)-EAF process will drop to 753.41 kgCO2/t, which is lower than all other processes except the 100 % scrap-based EAF process. Advancing the development of the H2-DRI-EAF process can effectively achieve CO2 emissions reduction while alleviating dependence on scrap resources. The results are expected to inform government policy on the development of hydrogen metallurgy in China and other countries.

Coenzyme Q10 and exercise training reinstate middle cerebral artery occlusion-induced behavioral deficits and hippocampal long-term potentiation suppression in aging rats.

Patients experience post-stroke cognitive impairment during aging. To date, no specific treatment solution has been reported for this disorder. The purpose of this study was to evaluate the effects of exercise training and coenzyme Q10 supplementation on middle cerebral artery occlusion (MCAO) induced behavioral impairment, long-term potentiation inhibition and cerebral infarction size in aging rats. Fifty aging male rats underwent MCAO surgery and were randomly distributed in to the following groups: 1-Sham, 2- control, 3- Coenzyme Q10, 4- Exercise training and 5- Exercise training with Q10 supplementation (Ex + Q10). Aerobic training groups were allowed to run on a treadmill for 12 weeks. Q10 (50mg/kg) was administered intragastrically by gavage. Morris water maze, shuttle box and elevated plus maze tests were used to evaluate cognitive function. The population spike (PS) amplitude and slope of excitatory postsynaptic potentials (EPSP) in the dentate gyrus area were recorded as a result of perforant pathway electrical stimulation. Our study showed that Q10 and aerobic training alone ameliorate spatial memory in the acquisition phase, but have no effect on spatial memory in the retention phase. Q10 and exercise training synergistically promoted spatial memory in the retention phase. Q10 and exercise training separately and simultaneously mitigated cerebral ischemia-induced passive avoidance memory impairment in acquisition and retention phases. The EPSP did not differ between the groups, but exercise training and Q10 ameliorate the PS amplitude in hippocampal responses to perforant path stimulation. Exercising and Q10 simultaneously reduced the cerebral infarction volume. Collectively, the findings of the present study imply that 12 weeks of aerobic training and Q10 supplementation alone can simultaneously reverse cerebral ischemia induced neurobehavioral deficits via amelioration of synaptic plasticity and a reduction in cerebral infarction volume in senescent rats.

Effect of Random, Blocked, and Mixed Practice Order on Upper Extremity Motor Learning in Subjects with Parkinson’s Disease

Background: Random practice order has been shown to improve motor learning in normal individuals as well as sports players. The purpose of this study is to investigate which practice order is beneficial in subjects with Parkinson’s disease. Methodology: The total number of Subjects included in this study was 32. Blocked practice order followed by random followed by mixed practice order was given. In between washout period of 1 week was given. Response time during acquisition and retention was assessed. Data were analyzed statistically by using one-way ANOVA. Results: The mean time taken by the subjects was maximum with Random practice order with (p=0.001, SD= 10.73) during Acquisition and (p=0.003, SD=8.88). The mean time difference was maximum with random (p= 0.001) in both the acquisitions as well as retention phases. On comparing the difference between the 1st and 10th trials of all three practice orders by using Analysis of Variance (ANOVA) post hoc analysis by using Tukey’s test, we observed that in subjects with PD Random practice order is more beneficial than mixed and blocked respectively. Discussion: On comparing all three practice orders we can infer that Upper Extremity motor learning skill was superior with Random practice orders followed by Mixed and blocked practice orders respectively in both the acquisition and retention phases. KEYWORDS: Parkinson’s Disease, Motor Learning, Practice Order, Acquisition, Retention.

Combination of narrow and wide bandwidth knowledge of performance in the acquisition of a complex sports motor skill

ObjectivesThis study tested the effects of combining two bandwidth knowledge of performance (KP) on a complex sports motor skill. MethodTwenty-two elementary students were divided into combined wide and narrow bandwidth KP (WNG) and control group (CG). The task was the volleyball serve, whose goal was to hit the bull's eye center of a target lying on the floor on the opposite side of the court. The study was composed of a pre-test, acquisition phase and retention test, and had three measures (pre-test, intermediate test, and retention test) with 15 serves recorded each. The acquisition phase consisted of 252 trials. The WNG had a wide bandwidth KP in the first half of the acquisition phase and a narrow one in the second. The CG received KP in all trials. The effects of bandwidth KP were analyzed separately to infer parameters and skill structure learning. ResultsBoth groups improved the skill structure from the first to the intermediate test, but only WNG also improved on the retention test. The parameters accuracy improved only on retention compared to the pre-test and intermediate test but had no difference between groups. ConclusionProviding information using the bandwidth KP led to an initial engagement and prioritization of skill structure learning.

Phase-sensitive deep reconstruction method for rapid multiparametric MR fingerprinting and quantitative susceptibility mapping in the brain

IntroductionThis study explores the potential of Magnetic Resonance Fingerprinting (MRF) with a novel Phase-Sensitivity Deep Reconstruction Network (PS-DRONE) for simultaneous quantification of T1, T2, Proton Density, B1+, phase and quantitative susceptibility mapping (QSM). MethodsData were acquired at 3 T in vitro and in vivo using an optimized EPI-based MRF sequence. Phantom experiments were conducted using a standardized phantom for T1 and T2 maps and a custom-made agar-based gadolinium phantom for B1 and QSM maps. In vivo experiments included five healthy volunteers and one patient diagnosed with brain metastasis. PSDRONE maps were compared to reference maps obtained through standard imaging sequences. ResultsTotal scan time was 2 min for 32 slices and a resolution of [1 mm, 1 mm, 4.5 mm]. The reconstruction of T1, T2, Proton Density, B1+ and phase maps were reconstructed within 1 s. In the phantoms, PS-DRONE analysis presented accurate and strongly correlated T1 and T2 maps (r = 0.99) compared to the reference maps. B1 maps from PS-DRONE showed slightly higher values, though still correlated (r = 0.6) with the reference. QSM values showed a small bias but were strongly correlated (r = 0.99) with reference data. In the in vivo analysis, PS-DRONE-derived T1 and T2 values for gray and white matter matched reference values in healthy volunteers. PS-DRONE B1 and QSM maps showed strong correlations with reference values. ConclusionThe PS-DRONE network enables concurrent acquisition of T1, T2, PD, B1+, phase and QSM maps, within 2 min of acquisition time and 1 s of reconstruction time.

Optogenetic Inhibition of the Cortical Efferents to the Locus Ceruleus Region of Pontine Tegmentum Causes Cognitive Deficits.

The medial prefrontal cortex (mPFC) is synaptically coupled to locus ceruleus (LC) located in the pontine tegmentum. The LC supplies norepinephrine (NE) to most of the central nervous system (CNS) via an elaborate efferent network. NE release in the cortex and various limbic structures regulates arousal, memory processes, adaptive behavior and cognitive control. The study investigated the role of the mPFC-LC circuit in the cognitive behavior of mice. The mPFC efferents were inhibited optogenetically at the level of dorso-rostral pons by virally delivered ArchT opsin. The mice were implanted bilaterally with optic fibers transmitting yellow light and tested for anxiety-like behavior on Elevated O-maze (EOM), for long-term memory with Novel Object Recognition test (NOR), for problem-solving ability with Puzzle test and for learning with Cued Fear Conditioning (FC). In addition, we used anterograde transsynaptic viral tracing to map a possible anatomical circuit allowing the mPFC to modulate the activity of LC neurons, which supply NE to the main limbic structures with a functional role in cognitive behavior. The application of yellow light did not affect the anxiety-like behavior of the mice but impaired their ability to recognize a novel object and solve a problem. Optogenetic inhibition of mPFC to LC, in either acquisition or recall phase of FC similarly decreased freezing. The viral tracing identified the following tripartite circuits: mPFC-LC-dentate gyrus of the hippocampus (DG), mPFC-LC-amygdala (Amy), and mPFC-LC-mPFC. Our results reveal essential long-range regulatory circuits from the mPFC to LC and from LC to the limbic system that serves to optimize cognitive performance.

Learning curves for itinerant nurses to master the operation skill of Ti-robot-assisted spinal surgery equipment by CUSUM analysis: A pilot study.

This study aimed to investigate the minimum number of operations required for itinerant nurses in the operating room to master the skills needed to operate the Ti-robot-assisted spinal surgery equipment. Additionally, we aimed to provide a corresponding basis for the development of qualification admission criteria and skill training for nurses who cooperate with this type of surgery. Nine operating room itinerant nurses independently performed Ti-robot equipment simulations using a spine model as a tool, with 16 operations per trainee. Four evaluation indices were recorded: time spent on equipment preparation and line connections, time spent on image acquisition and transmission, time spent on surgical spine screw placement planning, and time spent on robot arm operation. Individual and general learning curves were plotted using cumulative sum analysis. The number of cases in which the slope of the individual learning curves began to decrease was 3-11 cases, and the number of cases in which the slope of the general learning curve began to decrease was 8 cases. The numbers of cases in which the learning curves began to decrease in the four phases were the 5th, 8th, 11th, and 3rd cases. Itinerant nurses required at least eight cases to master the equipment operation skills of Ti-robot-assisted spinal surgery. Among the four phases, the image acquisition and transmission phases and the surgical spine screw placement planning phase were the most difficult and must be emphasized in future training.

The effects of a retrieval cue on renewal of conditioned responses in human appetitive conditioning

Contextual renewal of reward anticipation may be one potential mechanism underlying relapse in eating and substance use disorders. We therefore tested retrieval cues, a method derived from an inhibitory retrieval-based model of extinction learning to attenuate contextual renewal using an appetitive conditioning paradigm. A pilot study was carried out in Experiment 1 to validate a differential chocolate conditioning paradigm, in which a specific tray was set up as a conditioned stimulus (CS) for eating chocolate (unconditioned stimulus, US). Using an ABA renewal design in Experiment 2, half of the participants were presented with a retrieval cue in the acquisition phase (group AC) and the other half in the extinction phase (group EC). Presentation of the retrieval cue in the EC was associated with reduced renewal of US-expectancy, while there was a clear renewal effect for US-expectancy in the AC. One limitation was the difference in cue presentations between both groups due to the number of trials in acquisition and extinction. Experiment 3 therefore aimed at replicating the results of Experiment 2, but with fewer cue presentations for the EC to match the AC. No significant group differences were observed indicating no effect of the retrieval cue. Theoretical and clinical implications in light of the differing results are discussed.