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  1. Chiroma SM, Mohd Moklas MA, Mat Taib CN, Baharuldin MTH, Amon Z
    Biomed Pharmacother, 2018 Jul;103:1602-1608.
    PMID: 29864948 DOI: 10.1016/j.biopha.2018.04.152
    Cognitive impairments and cholinergic dysfunctions have been well reported in old age disorders including Alzheimer's disease (AD). d-galactose (D-gal) has been reported as a senescence agent while aluminium act as a neurotoxic metal, but little is known about their combined effects at different doses. The aim of this study was to establish an animal model with cognitive impairments by comparing the effects of different doses of co-administrated D-gal and aluminium chloride (AlCl3). In this study male albino wistar rats were administered with D-gal 60 mg/kg.bwt intra peritoneally (I.P) injected and AlCl3 (100, 200, or 300 mg/kg.bwt.) was orally administered once daily for 10 consecutive weeks. Performance of the rats were evaluated through behavioural assessments; Morris water maze (MWM) and open field tests (OFT); histopathological examination was performed on the hippocampus; moreover biochemical measurements of acetylcholinesterase (AChE) and hyperphosphorylated tau protein (p-tau) were examined. The results of this experiment on rats treated with D-gal 60 + AlCl3 200 mg/kg.bwt showed near ideal cognitive impairments. The rats exhibited an obvious memory and learning deficits, marked neuronal loss in hippocampus, showed increase in AChE activities and high expression of p-tau within the tissues of the brain. This study concludes that D-gal 60 + AlCl3 200 mg/kg.bwt as the ideal dose for mimicking AD like cognitive impairments in albino wistar rats. It is also crucial to understand the pathogenesis of this neurodegenerative disease and for drug discovery.
    Matched MeSH terms: Maze Learning/drug effects
  2. Tan JK, Nazar FH, Makpol S, Teoh SL
    Molecules, 2022 Oct 30;27(21).
    PMID: 36364200 DOI: 10.3390/molecules27217374
    Learning and memory are essential to organism survival and are conserved across various species, especially vertebrates. Cognitive studies involving learning and memory require using appropriate model organisms to translate relevant findings to humans. Zebrafish are becoming increasingly popular as one of the animal models for neurodegenerative diseases due to their low maintenance cost, prolific nature and amenability to genetic manipulation. More importantly, zebrafish exhibit a repertoire of neurobehaviors comparable to humans. In this review, we discuss the forms of learning and memory abilities in zebrafish and the tests used to evaluate the neurobehaviors in this species. In addition, the pharmacological studies that used zebrafish as models to screen for the effects of neuroprotective and neurotoxic compounds on cognitive performance will be summarized here. Lastly, we discuss the challenges and perspectives in establishing zebrafish as a robust model for cognitive research involving learning and memory. Zebrafish are becoming an indispensable model in learning and memory research for screening neuroprotective agents against cognitive impairment.
    Matched MeSH terms: Learning*
  3. Kundap UP, Kumari Y, Othman I, Shaikh MF
    Front Pharmacol, 2017;8:515.
    PMID: 28824436 DOI: 10.3389/fphar.2017.00515
    Epilepsy is a neuronal disorder allied with distinct neurological and behavioral alterations characterized by recurrent spontaneous epileptic seizures. Impairment of the cognitive performances such as learning and memory is frequently observed in epileptic patients. Anti-epileptic drugs (AEDs) are efficient to the majority of patients. However, 30% of this population seems to be refractory to the drug treatment. These patients are not seizure-free and frequently they show impaired cognitive functions. Unfortunately, as a side effect, some AEDs could contribute to such impairment. The major problem associated with conducting studies on epilepsy-related cognitive function is the lack of easy, rapid, specific and sensitive in vivo testing models. However, by using a number of different techniques and parameters in the zebrafish, we can incorporate the unique feature of specific disorder to study the molecular and behavior basis of this disease. In the view of current literature, the goal of the study was to develop a zebrafish model of epilepsy induced cognitive dysfunction. In this study, the effect of AEDs on locomotor activity and seizure-like behavior was tested against the pentylenetetrazole (PTZ) induced seizures in zebrafish and epilepsy associated cognitive dysfunction was determined using T-maze test followed by neurotransmitter estimation and gene expression analysis. It was observed that all the AEDs significantly reversed PTZ induced seizure in zebrafish, but had a negative impact on cognitive functions of zebrafish. AEDs were found to modulate neurotransmitter levels, especially GABA, glutamate, and acetylcholine and gene expression in the drug treated zebrafish brains. Therefore, combination of behavioral, neurochemical and genenetic information, makes this model a useful tool for future research and discovery of newer and safer AEDs.
    Matched MeSH terms: Maze Learning
  4. Tiang N, Ahad MA, Murugaiyah V, Hassan Z
    J Pharm Pharmacol, 2020 Nov;72(11):1629-1644.
    PMID: 32743849 DOI: 10.1111/jphp.13345
    OBJECTIVES: Xanthones isolated from the pericarp of Garcinia mangostana has been reported to exhibit neuroprotective effect.

    METHODS: In this study, the effect of xanthone-enriched fraction of Garcinia mangostana (XEFGM) and α-mangostin (α-MG) were investigated on cognitive functions of the chronic cerebral hypoperfusion (CCH) rats.

    KEY FINDINGS: HPLC analysis revealed that XEFGM contained 55.84% of α-MG. Acute oral administration of XEFGM (25, 50 and 100 mg/kg) and α-MG (25 and 50 mg/kg) before locomotor activity and Morris water maze (MWM) tests showed no significant difference between the groups for locomotor activity.

    CONCLUSIONS: However, α-MG (50 mg/kg) and XEFGM (100 mg/kg) reversed the cognitive impairment induced by CCH in MWM test. α-MG (50 mg/kg) was further tested upon sub-acute 14-day treatment in CCH rats. Cognitive improvement was shown in MWM test but not in long-term potentiation (LTP). BDNF but not CaMKII was found to be down-regulated in CCH rats; however, both parameters were not affected by α-MG. In conclusion, α-MG ameliorated learning and memory deficits in both acute and sub-acute treatments in CCH rats by improving the spatial learning but not hippocampal LTP. Hence, α-MG may be a promising lead compound for CCH-associated neurodegenerative diseases, including vascular dementia and Alzheimer's disease.

    Matched MeSH terms: Spatial Learning/drug effects*
  5. Sivalingam N, Rampal L
    Med J Malaysia, 2021 03;76(2):119-124.
    PMID: 33742616
    Sharing of knowledge through Continuing Medical Education (CME) contribute immensely to professional development of skills in clinical medical practice. Thus, the writing of CME articles should adopt an approach that addresses the needs of the readers by attempting to fill gaps in their knowledge, skills, and ethics about clinical care. As such CME articles should be comprehensive and focused on specific areas. The specific learning outcomes should be well defined. In designing and development of such articles, pedagogic principles are to be borne in mind. In this article we outline a guide to writing a CME article, incorporating both the principles of instructional design and directed selflearning. The ideal CME articles will transit through multimedia-enhanced interactive online learning, with greater use of connectivity through the internet. Synchronous and asynchronous learning is in greater need, as distance and online learning are increasingly popular. Authors of CME articles will need to eventually design CME articles to be interactive, enriched with multimedia to engage their readers. Lesson plans employing instructional design principles should aim to promote both instructions for learning and formative assessment ensuring learning have taken place, and outcomes have been achieved. This article describes on how to write effective CME articles for medical journals.
    Matched MeSH terms: Learning
  6. Khairun Emylyana, Amin, Fitri Suraya, Mohamad
    MyJurnal
    The study investigates how working memory affects students' control of attention. A quasi-experimental research is conducted individually on 52 undergraduates of a public university in Malaysia, enrolled in various full-time undergraduate programmes, using Sternberg memory task and Task-switching tests. The reaction time is taken in milliseconds (ms) to differentiate the results for both tasks. The analysis revealed that when memory load was increased, reaction time also escalated. In the task-switching test, when one task was given at any one time, the reaction time was swift; however, when two or more tasks were integrated into one task, the reaction time would subsequently decelerated. Although the study also revealed that there is no significant difference between genders in terms of handling memory load and taskswitching. However, a significant relationship was observed in performances between memory load and task-switching. It is also evidenced in the study that when memory load increases, it compoundsthe reaction time for task-switching. Results from the study inform course instructors to be aware of cognitive load when chunking information and assigning tasks to students, as their decisions on content quantity bore an effect on what would be remembered when students learn.
    Matched MeSH terms: Learning
  7. Ackermann L, Lo CH, Mani N, Mayor J
    PLoS One, 2020;15(12):e0240519.
    PMID: 33259476 DOI: 10.1371/journal.pone.0240519
    In recent years, the popularity of tablets has skyrocketed and there has been an explosive growth in apps designed for children. Howhever, many of these apps are released without tests for their effectiveness. This is worrying given that the factors influencing children's learning from touchscreen devices need to be examined in detail. In particular, it has been suggested that children learn less from passive video viewing relative to equivalent live interaction, which would have implications for learning from such digital tools. However, this so-called video deficit may be reduced by allowing children greater influence over their learning environment. Across two touchscreen-based experiments, we examined whether 2- to 4-year-olds benefit from actively choosing what to learn more about in a digital word learning task. We designed a tablet study in which "active" participants were allowed to choose which objects they were taught the label of, while yoked "passive" participants were presented with the objects chosen by their active peers. We then examined recognition of the learned associations across different tasks. In Experiment 1, children in the passive condition outperformed those in the active condition (n = 130). While Experiment 2 replicated these findings in a new group of Malay-speaking children (n = 32), there were no differences in children's learning or recognition of the novel word-object associations using a more implicit looking time measure. These results suggest that there may be performance costs associated with active tasks designed as in the current study, and at the very least, there may not always be systematic benefits associated with active learning in touchscreen-based word learning tasks. The current studies add to the evidence that educational apps need to be evaluated before release: While children might benefit from interactive apps under certain conditions, task design and requirements need to consider factors that may detract from successful performance.
    Matched MeSH terms: Association Learning/physiology*
  8. Wong WJ, Affendi NANM, Siow SL, Mahendran HA, Lau PC, Ho SH, et al.
    Surg Endosc, 2023 Mar;37(3):1735-1741.
    PMID: 36214914 DOI: 10.1007/s00464-022-09680-2
    INTRODUCTION: Per-Oral Endoscopic Myotomy (POEM) is an effective treatment for Esophageal Achalasia Cardia (EAC) but the endoscopic technique required is complex. As competency is crucial for patient safety, we believe that its' competency can be demonstrated when the complication rate equals that of an established procedure such as Laparoscopic Heller's Myotomy with Fundoplication (LHM + F).

    METHODS: A multicentre, ambi-directional, non-randomized comparison of intra-procedural complications during the learning curve of POEM was performed against a historical cohort of LHM + F. Demographic, clinicopathological, procedural data and complications were collected. A direct head-to-head comparison was performed, followed by a population pyramid of complication frequency. Case sequence was then divided into blocks of 5, and the complication rates during each block was compared to the historical cohort.

    RESULTS: From January 2010 to April 2021, 60 patients underwent LHM + F and 63 underwent POEM. Mean age was lower for the POEM group (41.7 years vs 48.1 years, p = 0.03), but there was no difference in gender nor type of Achalasia. The POEM group recorded a shorter overall procedural time (125.9 min vs 144.1 min, p = 0.023) and longer myotomies (10.1 cm vs 6.2 cm, p = 0.023). The overall complication rate of POEM was 20.6%, whereas the historical cohort of LHM + F had a rate of 10.0%. On visual inspection of the population pyramid, complications were more frequent in the earlier procedures. On block sequencing, complication frequency could be seen tapering off dramatically after the 25th case, and subsequently equalled that of LHM + F.

    CONCLUSION: POEM is challenging even for experienced endoscopists. From our data, complication rates between POEM and LHM + F equalize after approximately 25 POEMs.

    Matched MeSH terms: Learning Curve
  9. Perumal R, Tan I
    IUBMB Life, 2007 Jul;59(7):465-8.
    PMID: 17654123
    Matched MeSH terms: Learning/physiology*
  10. Azer SA
    Kaohsiung J. Med. Sci., 2009 Mar;25(3):109-15.
    PMID: 19419915 DOI: 10.1016/S1607-551X(09)70049-X
    Lectures are of great value to students. However, with the introduction of hybrid problem-based learning (PBL) curricula into most medical schools, the emphasis on lectures has decreased. This paper discusses how lectures can be used in a PBL curriculum, what makes a great lecture, and how to deliver a lecture that fits with these changes.
    Matched MeSH terms: Problem-Based Learning*
  11. Balakrishnan S, Gopalakrishnan M, Alagesan M, Prakash ES
    Adv Physiol Educ, 2007 Mar;31(1):51-4.
    PMID: 17327583
    It is common to see chapters on acid-base physiology state that the goal of acid-base regulatory mechanisms is to maintain the pH of arterial plasma and not arterial Pco(2) (Pa(CO(2))) or plasma HCO(3). A hypothetical situation in which the Pa(CO(2)) of arterial plasma is 80 mmHg and the plasma HCO(3) concentration is 48 mM is presented and analyzed to get over this misconception. As per the modified Henderson equation, the pH of arterial plasma would be 7.4; however, we explain that this may be associated with intracellular acidosis due to intracellular hypercapnia and that derangement of homeostasis is evident from the occurrence of respiratory depression and, eventually, coma in the patient described. This suggests that the ultimate goal of acid-base regulatory mechanisms is not just the maintenance of the pH of arterial plasma but the maintenance of the steady-state pH of intracellular fluid as well.
    Matched MeSH terms: Problem-Based Learning*
  12. Marlynda, A., Natasya, A.T., Salleh M.A.M.
    Malaysian Dental Journal, 2010;31(1):20-24.
    MyJurnal
    Introduction: Nowadays, there is a worldwide trend for universities to utilize the benefits of e-learning as a mechanism to facilitate improvements in teaching and learning. Purpose: The aim of this study is to evaluate the effectiveness of using e-learning in the teaching of fixed prosthodontic course i.e. FPeL.

    Materials and Methods: This was a retrospective analysis of questionnaire data, collected from fourth and fifth year dental undergraduates at the Faculty of Dentistry, National University of Malaysia (Universiti Kebangsaan Malaysia, UKM). For fixed prosthodontics (FP), all students had received a series of traditional classroom lectures, seminars, video demonstration, preclinical and Fixed Prosthodontics e-Learning or FPeL in semester 1 and 2 during their 4th year. The questionnaire of 4 sections was administered after the students completed fixed prosthodontics course.

    Results: Questionnaires were returned by 136 students (80.9% response rate). Unfortunately, the response rate dropped 12.4% when only 115 students accessed and used the FPeL (68.5%). Majority of FPeL users felt PFeL was beneficial to their learning in the fixed prosthodontic course. PFeL users recommended printable version with detailed explanations, illustrated with more photos and with addition of references.

    Conclusions: PFeL assisted users in the learning process of fixed prosthodontics.
    Matched MeSH terms: Learning
  13. Jefferelli, S.B., Sunthar, R., Trauth B., Bauder, K.
    MyJurnal
    Good reporting of medical drill is important to optimise learning and benefit from the activity. This article shares our opinion on what constitutes a good medical emergency drill report. A good medical emergency medical drill report should include medical drill background, observation, remarks on observation and details of observers and reporter.
    Matched MeSH terms: Learning
  14. Bergstresser SM, Ghias K, Lane S, Lau WM, Hwang ISS, Ngan OMY, et al.
    Asian Bioeth Rev, 2020 Jun;12(2):173-194.
    PMID: 33717336 DOI: 10.1007/s41649-020-00120-8
    Contemporary bioethics education has been developed predominately within Euro-American contexts, and now, other global regions are increasingly joining the field, leading to a richer global understanding. Nevertheless, many standard bioethics curriculum materials retain a narrow geographic focus. The purpose of this article is to use local cases from the Asia-Pacific region as examples for exploring questions such as 'what makes a case or example truly local, and why?', 'what topics have we found to be best explained through local cases or examples?', and 'how does one identify a relevant local case?' Furthermore, we consider the global application of local cases to help extend the possible scope of the discussion, opening new avenues for the development of practical bioethics educational materials. We begin with a background description and discussion of why local cases enhance bioethics education, move to an overview of what is currently available and what is not for the region, and then outline a discussion of what it means to be local using example cases drawn from Hong Kong, Australia, Pakistan, and Malaysia. We are not creating a casebook but rather constructing by example a toolbox for designing active and dynamic learning cases using regional diversity as contextualised cases with generalised principles.
    Matched MeSH terms: Learning
  15. Abdullah AH, Neo TK, Low JH
    F1000Res, 2021;10:1076.
    PMID: 35035894 DOI: 10.12688/f1000research.73210.2
    Background: Studies have acknowledged that social media enables students to connect with and learn from experts from different ties available in the students' personal learning environment (PLE). Incorporating experts into formal learning activities such as scaffolding problem-solving tasks through social media, allows students to understand how experts solve real-world problems. However, studies that evaluate experts' problem-solving styles on social media in relation to the tie strength of the experts with the students are scarce in the extant literature. This study aimed to explore the problem-solving styles that the experts portrayed based on their ties with the students in problem-based learning (PBL) on Facebook. Methods: This study employed a simultaneous within-subject experimental design which was conducted in three closed Facebook groups with 12 final year management students, six business experts, and one instructor as the participants. The experts were invited by the students from the weak and strong ties in their PLE. Hinging on the Strength of Weak Ties Theory (Granovetter, 1973) and problem-solving styles (Selby et al., 2004), this study employed thematic analysis using the ATLAS.ti qualitative data analysis software to map the experts' comments on Facebook. Results:  The experts from strong and weak ties who had a prior relationship with the students showed people preference style by being more sensitive to the students' learning needs and demonstrating firmer scaffolding compared to the weak ties' experts who had no prior relationship with the students. Regardless of the types of ties, all experts applied all manner of processing information and orientation to change but the degree of its applications are correlated with the working experience of the experts. Conclusion: The use of weak or strong ties benefited the students as it expedited their problem-solving tasks since the experts have unique expertise to offer depending on the problem-solving styles that they exhibited.
    Matched MeSH terms: Problem-Based Learning
  16. Yang C, Simon G, See J, Berger MO, Wang W
    Sensors (Basel), 2020 May 27;20(11).
    PMID: 32471231 DOI: 10.3390/s20113045
    Collecting correlated scene images and camera poses is an essential step towards learning absolute camera pose regression models. While the acquisition of such data in living environments is relatively easy by following regular roads and paths, it is still a challenging task in constricted industrial environments. This is because industrial objects have varied sizes and inspections are usually carried out with non-constant motions. As a result, regression models are more sensitive to scene images with respect to viewpoints and distances. Motivated by this, we present a simple but efficient camera pose data collection method, WatchPose, to improve the generalization and robustness of camera pose regression models. Specifically, WatchPose tracks nested markers and visualizes viewpoints in an Augmented Reality- (AR) based manner to properly guide users to collect training data from broader camera-object distances and more diverse views around the objects. Experiments show that WatchPose can effectively improve the accuracy of existing camera pose regression models compared to the traditional data acquisition method. We also introduce a new dataset, Industrial10, to encourage the community to adapt camera pose regression methods for more complex environments.
    Matched MeSH terms: Learning
  17. Nguyen KA, Liou YA, Terry JP
    Sci Total Environ, 2019 Sep 10;682:31-46.
    PMID: 31121354 DOI: 10.1016/j.scitotenv.2019.04.069
    Typhoons have devastating impacts across many Asian countries. Vietnam is presently one of the most disaster-prone nations. Typhoons regularly disrupt human lives and livelihoods in various ways and cause significant damage. Making efficient policy decisions to minimize the vulnerability of affected communities is crucial. This requires a deep understanding of the factors that make a society vulnerable to extreme events and natural disasters. An appropriate approach is integrating the three dimensions of hazard, exposure and sensitivity, and community adaptive capacity. However, the vulnerability and adaptive capacity response to typhoons within Vietnam is poorly investigated. Here, we develop a conceptual framework that incorporates 21 indicators to identify vulnerability and adaptive capacity (VAC) using geospatial techniques at regional scales, applied over Vietnam. We find large spatial differences in VAC and are able to identify the top-priority regions that need to enhance their adaptation to typhoons. The Southern Coastal area, South East and Red River Delta demonstrate high and very high vulnerability because of their physical features and the intensity of typhoons that frequently cross these parts of Vietnam. The lower Mekong Delta and Northern Coastal areas are vulnerable to typhoon-driven flood threats, in particular where compounded by sea-level rise. Our framework successfully identified the spatial distribution and different levels of VAC within acceptable limits of uncertainty. It can therefore serve as a template to tackle national issues in disaster risk reduction in Vietnam and assist in the development of suitable mitigation strategies to achieve sustainable outcomes.
    Matched MeSH terms: Learning
  18. Hamezah HS, Durani LW, Ibrahim NF, Yanagisawa D, Kato T, Shiino A, et al.
    Exp Gerontol, 2017 12 01;99:69-79.
    PMID: 28918364 DOI: 10.1016/j.exger.2017.09.008
    Impairments in cognitive and locomotor functions usually occur with advanced age, as do changes in brain volume. This study was conducted to assess changes in brain volume, cognitive and locomotor functions, and oxidative stress levels in middle- to late-aged rats. Forty-four male Sprague-Dawley rats were divided into four groups: 14, 18, 23, and 27months of age. 1H magnetic resonance imaging (MRI) was performed using a 7.0-Tesla MR scanner system. The volumes of the lateral ventricles, medial prefrontal cortex (mPFC), hippocampus, striatum, cerebellum, and whole brain were measured. Open field, object recognition, and Morris water maze tests were conducted to assess cognitive and locomotor functions. Blood was taken for measurements of malondialdehyde (MDA), protein carbonyl content, and antioxidant enzyme activity. The lateral ventricle volumes were larger, whereas the mPFC, hippocampus, and striatum volumes were smaller in 27-month-old rats than in 14-month-old rats. In behavioral tasks, the 27-month-old rats showed less exploratory activity and poorer spatial learning and memory than did the 14-month-old rats. Biochemical measurements likewise showed increased MDA and lower glutathione peroxidase (GPx) activity in the 27-month-old rats. In conclusion, age-related increases in oxidative stress, impairment in cognitive and locomotor functions, and changes in brain volume were observed, with the most marked impairments observed in later age.
    Matched MeSH terms: Maze Learning
  19. Tse LF, Thanapalan KC, Chan CC
    Res Dev Disabil, 2014 Feb;35(2):340-7.
    PMID: 24333804 DOI: 10.1016/j.ridd.2013.11.013
    This study investigated the role of visual-perceptual input in writing Chinese characters among senior school-aged children who had handwriting difficulties (CHD). The participants were 27 CHD (9-11 years old) and 61 normally developed control. There were three writing conditions: copying, and dictations with or without visual feedback. The motor-free subtests of the Developmental Test of Visual Perception (DTVP-2) were conducted. The CHD group showed significantly slower mean speeds of character production and less legibility of produced characters than the control group in all writing conditions (ps<0.001). There were significant deteriorations in legibility from copying to dictation without visual feedback. Nevertheless, the Group by Condition interaction effect was not statistically significant. Only position in space of DTVP-2 was significantly correlated with the legibility among CHD (r=-0.62, p=0.001). Poor legibility seems to be related to the less-intact spatial representation of the characters in working memory, which can be rectified by viewing the characters during writing. Visual feedback regarding one's own actions in writing can also improve legibility of characters among these children.
    Matched MeSH terms: Learning Disorders/physiopathology*
  20. Ahmad RF, Malik AS, Kamel N, Reza F, Amin HU, Hussain M
    Technol Health Care, 2017;25(3):471-485.
    PMID: 27935575 DOI: 10.3233/THC-161286
    BACKGROUND: Classification of the visual information from the brain activity data is a challenging task. Many studies reported in the literature are based on the brain activity patterns using either fMRI or EEG/MEG only. EEG and fMRI considered as two complementary neuroimaging modalities in terms of their temporal and spatial resolution to map the brain activity. For getting a high spatial and temporal resolution of the brain at the same time, simultaneous EEG-fMRI seems to be fruitful.

    METHODS: In this article, we propose a new method based on simultaneous EEG-fMRI data and machine learning approach to classify the visual brain activity patterns. We acquired EEG-fMRI data simultaneously on the ten healthy human participants by showing them visual stimuli. Data fusion approach is used to merge EEG and fMRI data. Machine learning classifier is used for the classification purposes.

    RESULTS: Results showed that superior classification performance has been achieved with simultaneous EEG-fMRI data as compared to the EEG and fMRI data standalone. This shows that multimodal approach improved the classification accuracy results as compared with other approaches reported in the literature.

    CONCLUSIONS: The proposed simultaneous EEG-fMRI approach for classifying the brain activity patterns can be helpful to predict or fully decode the brain activity patterns.

    Matched MeSH terms: Machine Learning
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