Displaying publications 1 - 20 of 274 in total

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  1. Fulltext Neuropsychological Consequences for Survivors of Childhood Brain Tumor in Malaysia
    Alias H, Lau SCD, Schuitema I, de Sonneville LMJ
    Front Psychol, 2018;9:703.
    PMID: 29896137 DOI: 10.3389/fpsyg.2018.00703
    Objective: This study aimed to evaluate neuropsychological consequences in survivors of childhood brain tumor. Method: A case-control study was conducted over a period of 4 months in a tertiary referral center in Kuala Lumpur, Malaysia. Fourteen survivors of childhood brain tumor aged 7-18 years, who were off-treatment for at least 1 year and were in remission, and 31 unrelated healthy controls were recruited. The median age at diagnosis was 8.20 years (range: 0.92-12.96 years). The diagnoses of brain tumors were medulloblastoma, germ cell tumor, pineocytoma, pilocystic astrocytoma, suprasellar germinoma, and ependymoma. Eleven survivors received central nervous system irradiation. Seven tasks were selected from the Amsterdam Neuropsychological Tasks program to evaluate alertness (processing speed), and major aspects of executive functioning, such as working memory capacity, inhibition, cognitive flexibility, and sustained attention. Speed, stability and accuracy of responses were the main outcome measures. Results: Survivors of childhood brain tumor showed statistically significant poorer performance on all tasks compared to healthy controls. Both processing speed and accuracy were impaired in the survivors, in particular under more complex task conditions. The survivors demonstrated deficits in alertness, sustained attention, working memory capacity, executive visuomotor control, and cognitive flexibility. Longer duration off treatment appeared to be correlated with poorer alertness, memory capacity, and inhibition. Conclusion: Survivors of childhood brain tumor in our center showed impaired neuropsychological functioning. Development of less toxic treatment protocols is important to prevent late effects of cognitive deficits in survivors of childhood brain tumor.
    Matched MeSH terms: Memory, Short-Term
  2. Fulltext Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
    Majeed MA, Shafri HZM, Wayayok A, Zulkafli Z
    Geospat Health, 2023 May 25;18(1).
    PMID: 37246539 DOI: 10.4081/gh.2023.1176
    This research proposes a 'temporal attention' addition for long-short term memory (LSTM) models for dengue prediction. The number of monthly dengue cases was collected for each of five Malaysian states i.e. Selangor, Kelantan, Johor, Pulau Pinang, and Melaka from 2011 to 2016. Climatic, demographic, geographic and temporal attributes were used as covariates. The proposed LSTM models with temporal attention was compared with several benchmark models including a linear support vector machine (LSVM), a radial basis function support vector machine (RBFSVM), a decision tree (DT), a shallow neural network (SANN) and a deep neural network (D-ANN). In addition, experiments were conducted to analyze the impact of look-back settings on each model performance. The results showed that the attention LSTM (A-LSTM) model performed best, with the stacked, attention LSTM (SA-LSTM) one in second place. The LSTM and stacked LSTM (S-LSTM) models performed almost identically but with the accuracy improved by the attention mechanism was added. Indeed, they were both found to be superior to the benchmark models mentioned above. The best results were obtained when all attributes were included in the model. The four models (LSTM, S-LSTM, A-LSTM and SA-LSTM) were able to accurately predict dengue presence 1-6 months ahead. Our findings provide a more accurate dengue prediction model than previously used, with the prospect of also applying this approach in other geographic areas.
    Matched MeSH terms: Memory, Short-Term*
  3. The flashbulb-like nature of memory for the first COVID-19 case and the impact of the emergency. A cross-national survey
    Lanciano T, Alfeo F, Curci A, Marin C, D'Uggento AM, Decarolis D, et al.
    Memory, 2024 Feb;32(2):264-282.
    PMID: 38315731 DOI: 10.1080/09658211.2024.2310554
    Flashbulb memories (FBMs) refer to vivid and long-lasting autobiographical memories for the circumstances in which people learned of a shocking and consequential public event. A cross-national study across eleven countries aimed to investigate FBM formation following the first COVID-19 case news in each country and test the effect of pandemic-related variables on FBM. Participants had detailed memories of the date and others present when they heard the news, and had partially detailed memories of the place, activity, and news source. China had the highest FBM specificity. All countries considered the COVID-19 emergency as highly significant at both the individual and global level. The Classification and Regression Tree Analysis revealed that FBM specificity might be influenced by participants' age, subjective severity (assessment of COVID-19 impact in each country and relative to others), residing in an area with stringent COVID-19 protection measures, and expecting the pandemic effects. Hierarchical regression models demonstrated that age and subjective severity negatively predicted FBM specificity, whereas sex, pandemic impact expectedness, and rehearsal showed positive associations in the total sample. Subjective severity negatively affected FBM specificity in Turkey, whereas pandemic impact expectedness positively influenced FBM specificity in China and negatively in Denmark.
    Matched MeSH terms: Memory, Episodic*
  4. Fulltext Sociodemographic profiles of caregivers and their association with burden of care in dementia
    Rosdinom, R., Norzarina, M.Z., Ruzanna, Z., Zanariah, M.S.
    Malaysian Journal of Psychiatry, 2011;20(1):1-10.
    MyJurnal
    Caring for a family member with dementia is associated with distress and several caregiver factors are known to be determinants of burden of care.
    Objective: To determine the relationship between the caregivers’ sociodemographic variables and their perceived burden of care. 
    Methods: Patients diagnosed as having dementia with their caregivers were selected through a non-randomised sampling method from the psychogeriatric and memory clinics in Universiti Kebangsaan Malaysia Medical Centre and Hospital Kuala Lumpur. Burden of care was assessed using the Zarit Burden Interview.
    Results: Age, gender, educational achievement, ethnicity and kinship of the 65 caregivers did not show any significant statistical difference in relation to their perceived burden. Conclusion: Burden in caring after patients with dementia was not significantly determined by the sociodemographic characteristics of their caregivers
    Study site: Psychogeriartic clinics and memory clinics of Pusat Perubatan University Kebangsaan Malaysia (PPUKM) and Hospital Kuala Lumpur (HKL), Kuala Lumpur, Malaysia
    Matched MeSH terms: Memory
  5. Fulltext Honey as an antioxidant therapy to reduce cognitive ageing
    Azman KF, Zakaria R
    Iran J Basic Med Sci, 2019 Dec;22(12):1368-1377.
    PMID: 32133053 DOI: 10.22038/IJBMS.2019.14027
    This paper reviews the potential role of honey as a therapeutic antioxidant to reduce oxidative stress and improve cognitive ageing. All articles indexed to PubMed Central (PMC) were searched using the following key words: honey, antioxidant, memory and ageing. Honey is a natural insect-derived product with therapeutic, medicinal and nutritional values. Antioxidant properties of honey quench biologically-circulating reactive oxygen species (ROS) and counter oxidative stress while restoring the cellular antioxidant defense system. Antioxidant properties of honey may complement its nootropic effects to reduce cognitive ageing.
    Matched MeSH terms: Memory
  6. Changes in emotional distress, short term memory, and sustained attention following 6 and 12 sessions of progressive muscle relaxation training in 10-11 years old primary school children
    Hashim HA, Zainol NA
    Psychol Health Med, 2015;20(5):623-8.
    PMID: 25603900 DOI: 10.1080/13548506.2014.1002851
    This study compared the effects of 6 and 12 sessions of relaxation training on emotional distress, short-term memory, and sustained attention in primary school children.
    Matched MeSH terms: Memory, Short-Term/physiology*
  7. Fulltext Effects of Stochastic Facilitation in Healthy Subjects with Different Auditory Working Memory Capacity
    Othman, E. A., Mohamad, M., Abdul Manan, H., Yusoff, A. N.
    Physics and Technology in Medicine, 2020;1(2):27-31.
    MyJurnal
    This study investigated the effects of stochastic facilitation in healthy subjects with normal and low auditory working memory capacity (AWMC). Forty healthy volunteers were recruited in this study. They performed a backward recall task (BRT) in quiet and under four white noise intensity levels: 45, 50, 55, and 60 dB. Brain activations during the task were measured using functional magnetic resonance imaging (fMRI). The behavioral performance in both groups increased significantly in 50 and 55 dB white noise. The normal AWMC group (mean score = 48.70) demonstrated higher activation in the superior temporal gyrus and prefrontal cortex than the low AWMC group (mean score = 30.85). However, comparisons in the brain activation between groups for all noise levels were not statistically different. The results support previous findings that stochastic facilitation enhances cognitive performance in healthy individuals. The results also proposed that brain activity among healthy subjects is more or less similar, at least in the context of auditory working memory. These findings indicated that there were no differential effects of stochastic facilitation in healthy subjects with different AWMC.
    Matched MeSH terms: Memory, Short-Term
  8. Docosahexaenoic acid-concentrated fish oil supplementation in subjects with mild cognitive impairment (MCI): a 12-month randomised, double-blind, placebo-controlled trial
    Lee LK, Shahar S, Chin AV, Yusoff NA
    Psychopharmacology (Berl), 2013 Feb;225(3):605-12.
    PMID: 22932777 DOI: 10.1007/s00213-012-2848-0
    RATIONALE: Epidemiological studies have suggested a beneficial effect of fish oil supplementation in halting the initial progression of Alzheimer's disease. However, it remains unclear whether fish oil affects cognitive function in older people with mild cognitive impairment (MCI).

    OBJECTIVES: This study investigated the effects of fish oil supplementation on cognitive function in elderly person with MCI.

    METHODS: This was a 12-month, randomised, double-blind, placebo-controlled study using fish oil supplementation with concentrated docosahexaenoic acid (DHA). Thirty six low-socioeconomic-status elderly subjects with MCI were randomly assigned to receive either concentrated DHA fish oil (n = 18) or placebo (n = 18) capsules. The changes of memory, psychomotor speed, executive function and attention, and visual-constructive skills were assessed using cognitive tests. Secondary outcomes were safety and tolerability of the DHA concentrate.

    RESULTS: The fish oil group showed significant improvement in short-term and working memory (F = 9.890; ηp (2) = 0.254; p 

    Matched MeSH terms: Memory, Short-Term/drug effects
  9. Fulltext The Effects of Adult Ageing and Culture on the Tower of London Task
    Phillips LH, Lawrie L, Schaefer A, Tan CY, Yong MH
    Front Psychol, 2021;12:631458.
    PMID: 33692728 DOI: 10.3389/fpsyg.2021.631458
    Planning ability is important in everyday functioning, and a key measure to assess the preparation and execution of plans is the Tower of London (ToL) task. Previous studies indicate that older adults are often less accurate than the young on the ToL and that there may be cultural differences in performance on the task. However, potential interactions between age and culture have not previously been explored. In the current study we examined the effects of age on ToL performance in an Asian culture (Malaysia) and a Western culture (British) (n = 191). We also explored whether working memory, age, education, and socioeconomic status explained variance in ToL performance across these two cultures. Results indicated that age effects on ToL performance were greater in the Malaysian sample. Subsequent moderated mediation analysis revealed differences between the two cultures (British vs Malaysians), in that the age-related variance in ToL accuracy was accounted for by WM capacity at low and medium education levels only in the Malaysian sample. Demographic variables could not explain additional variance in ToL speed or accuracy. These results may reflect cultural differences in the familiarity and cognitive load of carrying out complex planning tasks.
    Matched MeSH terms: Memory, Short-Term
  10. Fulltext Mobile phones: The effect of its presence on learning and memory
    Tanil CT, Yong MH
    PLoS One, 2020;15(8):e0219233.
    PMID: 32790667 DOI: 10.1371/journal.pone.0219233
    Our aim was to examine the effect of a smartphone's presence on learning and memory among undergraduates. A total of 119 undergraduates completed a memory task and the Smartphone Addiction Scale (SAS). As predicted, those without smartphones had higher recall accuracy compared to those with smartphones. Results showed a significant negative relationship between phone conscious thought, "how often did you think about your phone", and memory recall but not for SAS and memory recall. Phone conscious thought significantly predicted memory accuracy. We found that the presence of a smartphone and high phone conscious thought affects one's memory learning and recall, indicating the negative effect of a smartphone proximity to our learning and memory.
    Matched MeSH terms: Memory
  11. MSTCN: A multiscale temporal convolutional network for user independent human activity recognition
    Raja Sekaran S, Pang YH, Ling GF, Yin OS
    F1000Res, 2021;10:1261.
    PMID: 36896393 DOI: 10.12688/f1000research.73175.1
    Background: In recent years, human activity recognition (HAR) has been an active research topic due to its widespread application in various fields such as healthcare, sports, patient monitoring, etc. HAR approaches can be categorised as handcrafted feature methods (HCF) and deep learning methods (DL). HCF involves complex data pre-processing and manual feature extraction in which the models may be exposed to high bias and crucial implicit pattern loss. Hence, DL approaches are introduced due to their exceptional recognition performance. Convolutional Neural Network (CNN) extracts spatial features while preserving localisation. However, it hardly captures temporal features. Recurrent Neural Network (RNN) learns temporal features, but it is susceptible to gradient vanishing and suffers from short-term memory problems. Unlike RNN, Long-Short Term Memory network has a relatively longer-term dependency. However, it consumes higher computation and memory because it computes and stores partial results at each level. Methods: This work proposes a novel multiscale temporal convolutional network (MSTCN) based on the Inception model with a temporal convolutional architecture. Unlike HCF methods, MSTCN requires minimal pre-processing and no manual feature engineering. Further, multiple separable convolutions with different-sized kernels are used in MSTCN for multiscale feature extraction. Dilations are applied to each separable convolution to enlarge the receptive fields without increasing the model parameters. Moreover, residual connections are utilised to prevent information loss and gradient vanishing. These features enable MSTCN to possess a longer effective history while maintaining a relatively low in-network computation. Results: The performance of MSTCN is evaluated on UCI and WISDM datasets using subject independent protocol with no overlapping subjects between the training and testing sets. MSTCN achieves F1 scores of 0.9752 on UCI and 0.9470 on WISDM. Conclusion: The proposed MSTCN dominates the other state-of-the-art methods by acquiring high recognition accuracies without requiring any manual feature engineering.
    Matched MeSH terms: Memory, Short-Term*
  12. Fulltext Neuroprotective effects of 1`δ-1`-acetoxyeugenol acetate on Aβ(25-35) induced cognitive dysfunction in mice
    Jayasingh Chellammal HS, Veerachamy A, Ramachandran D, Gummadi SB, Manan MM, Yellu NR
    Biomed Pharmacother, 2019 Jan;109:1454-1461.
    PMID: 30551397 DOI: 10.1016/j.biopha.2018.10.189
    The progressive accumulation of amyloid beta (Aβ) peptide is neurotoxic and leads to Alzheimer's type dementia. Accumulation of Aβ has been associated with dysfunction of hypothalamic-pituitary-adrenal (HPA) axis and elevated pro-inflammatory cytokines. In this study, we investigated the effect of 1`δ-1`-acetoxyeugenol acetate (DAEA), isolated from Alpinia galanga (L.), on Aβ(25-35) induced neurodegeneration in mice. Mice were treated with three different doses of DAEA (12.5 mg/kg, 25 mg/kg and 50 mg/kg) for 28 days. Aβ(25-35) was injected by intracerebroventricular (i.c.v.) injection on the 15th day of 28 days. Open field, water maze and step-down inhibitory tests were performed on the 27th day to determine the habituation memory, spatial learning, and short- and long-term memory, respectively. Acetylcholinesterase (AChE), Corticosterone, biogenic amines (serotonin and dopamine), tumour necrosis factor-α (TNF-α), and antioxidant parameters such as superoxide dismutase, catalase, glutathione peroxidase and vitamin C were evaluated in brain homogenates after behavioural tests to ascertain the cognitive improvement through neuro-immune-endocrine modulation. The DAEA treatment with 25 mg/kg and 50 mg/kg resulted in significant (p < 0.001) improvement of habituation memory and step-down inhibitory avoidance task. In spatial learning, the cognitive improvement was significantly improved (p < 0.001) by reduction in escape latency. In the biochemical study, the significant (p < 0.001) reduction of AChE indicates the preeminent neuroprotection. Corticosterone and TNF-α were significantly (p < 0.01) reduced and biogenic amines were increased with antioxidant markers, which signify the potential influence of DAEA on neuroprotection. Our investigation revealed that the drug DAEA attenuates stress mediated through the HPA axis and regulates the neuroendocrine and neuroimmune function to improve the cognition. DAEA could be a potential lead candidate for the treatment of neurodegeneration.
    Matched MeSH terms: Memory/drug effects; Memory Disorders/drug therapy; Memory Disorders/metabolism
  13. Integration of complete ensemble empirical mode decomposition with deep long short-term memory model for particulate matter concentration prediction
    Fu M, Le C, Fan T, Prakapovich R, Manko D, Dmytrenko O, et al.
    Environ Sci Pollut Res Int, 2021 Dec;28(45):64818-64829.
    PMID: 34318419 DOI: 10.1007/s11356-021-15574-y
    The atmospheric particulate matter (PM) with a diameter of 2.5 μm or less (PM2.5) is one of the key indicators of air pollutants. Accurate prediction of PM2.5 concentration is very important for air pollution monitoring and public health management. However, the presence of noise in PM2.5 data series is a major challenge of its accurate prediction. A novel hybrid PM2.5 concentration prediction model is proposed in this study by combining complete ensemble empirical mode decomposition (CEEMD) method, Pearson's correlation analysis, and a deep long short-term memory (LSTM) method. CEEMD was employed to decompose historical PM2.5 concentration data to different frequencies in order to enhance the timing characteristics of data. Pearson's correlation was used to screen the different frequency intrinsic-mode functions of decomposed data. Finally, the filtered enhancement data were inputted to a deep LSTM network with multiple hidden layers for training and prediction. The results evidenced the potential of the CEEMD-LSTM hybrid model with a prediction accuracy of approximately 80% and model convergence after 700 training epochs. The secondary screening of Pearson's correlation test improved the model (CEEMD-Pearson) accuracy up to 87% but model convergence after 800 epochs. The hybrid model combining CEEMD-Pearson with the deep LSTM neural network showed a prediction accuracy of nearly 90% and model convergence after 650 interactions. The results provide a clear indication of higher prediction accuracy of PM2.5 with less computation time through hybridization of CEEMD-Pearson with deep LSTM models and its potential to be employed for air pollution monitoring.
    Matched MeSH terms: Memory, Short-Term
  14. A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images
    Vinothini R, Niranjana G, Yakub F
    J Digit Imaging, 2023 Dec;36(6):2480-2493.
    PMID: 37491543 DOI: 10.1007/s10278-023-00852-7
    The human respiratory system is affected when an individual is infected with COVID-19, which became a global pandemic in 2020 and affected millions of people worldwide. However, accurate diagnosis of COVID-19 can be challenging due to small variations in typical and COVID-19 pneumonia, as well as the complexities involved in classifying infection regions. Currently, various deep learning (DL)-based methods are being introduced for the automatic detection of COVID-19 using computerized tomography (CT) scan images. In this paper, we propose the pelican optimization algorithm-based long short-term memory (POA-LSTM) method for classifying coronavirus using CT scan images. The data preprocessing technique is used to convert raw image data into a suitable format for subsequent steps. Here, we develop a general framework called no new U-Net (nnU-Net) for region of interest (ROI) segmentation in medical images. We apply a set of heuristic guidelines derived from the domain to systematically optimize the ROI segmentation task, which represents the dataset's key properties. Furthermore, high-resolution net (HRNet) is a standard neural network design developed for feature extraction. HRNet chooses the top-down strategy over the bottom-up method after considering the two options. It first detects the subject, generates a bounding box around the object and then estimates the relevant feature. The POA is used to minimize the subjective influence of manually selected parameters and enhance the LSTM's parameters. Thus, the POA-LSTM is used for the classification process, achieving higher performance for each performance metric such as accuracy, sensitivity, F1-score, precision, and specificity of 99%, 98.67%, 98.88%, 98.72%, and 98.43%, respectively.
    Matched MeSH terms: Memory, Short-Term
  15. Stingless Bee Honey Reduces Anxiety and Improves Memory of the Metabolic Disease-induced Rats
    Arshad N', Lin TS, Yahaya MF
    CNS Neurol Disord Drug Targets, 2020;19(2):115-126.
    PMID: 31957619 DOI: 10.2174/1871527319666200117105133
    BACKGROUND: Scientific studies support the evidence of the involvement of Metabolic Syndrome (MetS) in the progression of neurodegenerative diseases through oxidative stress. Consumption of antioxidant compounds was found to be beneficial for brain-health as it reduced the brain oxidative stress level and improved cognitive performance in animals. Stingless bee honey or locally known as Kelulut Honey (KH) has high phenolic content and is widely used as a food supplement.

    OBJECTIVES: In this study, we aimed to investigate the effects of KH on the brain of MetS-induced rats.

    METHODS: Forty male Wistar rats were divided into 5 groups; 8 weeks (C8) and 16 weeks control groups (C16), groups that received High-Carbohydrate High Fructose (HCHF) diet for 8 weeks (MS8) and 16 weeks (MS16), and a group that received HCHF for 16 weeks with KH supplemented for the last 35 days (KH).

    RESULTS: Serum fasting blood glucose decreased in the KH group compared to the MS16 group. HDL levels were significantly decreased in MetS groups compared to control groups. Open field experiments showed that KH group exhibits less anxious behavior compared to the MetS group. Probe trial of Morris water maze demonstrated significant memory retention of KH group compared to the MS16 group. Nissl staining showed a significant decrease in the pyramidal hippocampal cells in the MS16 compared to the KH group.

    CONCLUSION: KH has the ability to normalise blood glucose and reduce serum triglyceride and LDL levels in MetS rats, while behavior studies complement its effect on anxiety and memory. This shows a promising role of KH in attenuating neurodegenerative diseases through the antioxidant activity of its polyphenolic content.

    Matched MeSH terms: Memory
  16. Fulltext The modulation of PPARγ1 and PPARγ2 mRNA expression by ciglitazone in CD3/CD28-activated naïve and memory CD4+ T cells
    Norazmi MN, Mohamed R, Nurul AA, Yaacob NS
    Clin. Dev. Immunol., 2012;2012:849195.
    PMID: 22548115 DOI: 10.1155/2012/849195
    Given their roles in immune regulation, the expression of the nuclear receptor peroxisome proliferator-activated receptor γ (PPARγ) 1 and 2 isoforms was investigated in human naïve (CD45RA+) and memory (CD45RO+) CD4+ T cells. Stimulation of both types of cells via the CD3/CD28 pathway resulted in high expression of both PPARγ receptors as measured by real-time PCR. Treatment with the PPARγ agonist, ciglitazone, increased PPARγ1 expression but decreased PPARγ2 expression in stimulated naïve and memory cells. Furthermore, when present, the magnitude of both PPARγ receptors expression was lower in naïve cells, perhaps suggesting a lower regulatory control of these cells. Similar profiles of selected proinflammatory cytokines were expressed by the two cell types following stimulation. The induction of PPARγ1 and suppression of PPARγ2 expressions in naïve and memory CD4+ T cells in the presence of ciglitazone suggest that the PPARγ subtypes may have different roles in the regulation of T-cell function.
    Matched MeSH terms: Immunologic Memory
  17. Digital life storybooks for people with dementia living in care homes: an evaluation
    Subramaniam P, Woods B
    Clin Interv Aging, 2016;11:1263-1276.
    PMID: 27698556
    There is increasing interest in using information and communication technology to help older adults with dementia to engage in reminiscence work. Now, the feasibility of such approaches is beginning to be established. The purpose of this study was to establish an evidence-base for the acceptability and efficacy of using multimedia digital life storybooks with people with dementia in care homes, in comparison with conventional life storybooks, taking into account the perspectives of people with dementia, their relatives, and care staff.
    Matched MeSH terms: Memory
  18. Associations between self-reported and objective face recognition abilities are only evident in above- and below-average recognisers
    Estudillo AJ, Wong HK
    PeerJ, 2021;9:e10629.
    PMID: 33510971 DOI: 10.7717/peerj.10629
    The 20-Item Prosopagnosia Items (PI-20) was recently introduced as a self-report measure of face recognition abilities and as an instrument to help the diagnosis of prosopagnosia. In general, studies using this questionnaire have shown that observers have moderate to strong insights into their face recognition abilities. However, it remains unknown whether these insights are equivalent for the whole range of face recognition abilities. The present study investigates this issue using the Mandarin version of the PI-20 and the Cambridge Face Memory Test Chinese (CFMT-Chinese). Our results showed a moderate negative association between the PI-20 and the CFMT-Chinese. However, this association was driven by people with low and high face recognition ability, but absent in people within the typical range of face recognition performance. The implications of these results for the study of individual differences and the diagnosis of prosopagnosia are discussed.
    Matched MeSH terms: Memory
  19. Fulltext In vitro and ex-vivo cellular antioxidant protection and cognitive enhancing effects of an extract of Polygonum minus Huds (Lineminus™) demonstrated in a Barnes Maze animal model for memory and learning
    George A, Ng CP, O'Callaghan M, Jensen GS, Wong HJ
    BMC Complement Altern Med, 2014;14:161.
    PMID: 24886679 DOI: 10.1186/1472-6882-14-161
    Polygonum minus Huds.is a culinary flavouring that is common in South East Asian cuisine and as a remedy for diverse maladies ranging from indigestion to poor eyesight. The leaves of this herb have been reported to be high in antioxidants. Flavonoids which have been associated with memory, cognition and protection against neurodegeneration were found in P. minus.
    Matched MeSH terms: Memory/drug effects
  20. Fulltext Effects of a Proprietary Standardized Orthosiphon stamineus Ethanolic Leaf Extract on Enhancing Memory in Sprague Dawley Rats Possibly via Blockade of Adenosine A 2A Receptors
    George A, Chinnappan S, Choudhary Y, Choudhary VK, Bommu P, Wong HJ
    Evid Based Complement Alternat Med, 2015;2015:375837.
    PMID: 26649059 DOI: 10.1155/2015/375837
    The aim of the study was to explore a propriety standardized ethanolic extract from leaves of Orthosiphon stamineus Benth in improving impairments in short-term social memory in vivo, possibly via blockade of adenosine A2A receptors (A2AR). The ethanolic extract of O. stamineus leaves showed significant in vitro binding activity of A2AR with 74% inhibition at 150 μg/ml and significant A2AR antagonist activity with 98% inhibition at 300 μg/mL. A significant adenosine A1 receptor (A1R) antagonist activity with 100% inhibition was observed at 300 μg/mL. Its effect on learning and memory was assessed via social recognition task using Sprague Dawley rats whereby the ethanolic extract of O. stamineus showed significant (p < 0.001) change in recognition index (RI) at 300 mg/kg and 600 mg/kg p.o and 120 mg/kg i.p., respectively, compared to the vehicle control. In comparison, the ethanolic extract of Polygonum minus aerial parts showed small change in inflexion; however, it remained insignificant in RI at 200 mg/kg p.o. Our findings suggest that the ethanolic extract of O. stamineus leaves improves memory by reversing age-related deficits in short-term social memory and the possible involvement of adenosine A1 and adenosine A2A as a target bioactivity site in the restoration of memory.
    Matched MeSH terms: Memory, Short-Term
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