Displaying publications 21 - 40 of 275 in total

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  1. Abd Hamid AI, Yusoff AN, Mukari SZ, Mohamad M
    Malays J Med Sci, 2011 Apr;18(2):3-15.
    PMID: 22135581 MyJurnal
    In spite of extensive research conducted to study how human brain works, little is known about a special function of the brain that stores and manipulates information-the working memory-and how noise influences this special ability. In this study, Functional magnetic resonance imaging (fMRI) was used to investigate brain responses to arithmetic problems solved in noisy and quiet backgrounds.
    Matched MeSH terms: Memory, Short-Term
  2. Sayuthi S, Tharakan J, Pieter MS, Salmah WM, Madhavan M, Tahir A, et al.
    Malays J Med Sci, 2009 Jan;16(1):39-43.
    PMID: 22589647 MyJurnal
    We present our preliminary experience in neuropsychological testing in epilepsy surgery patients to demonstrate how these tests contributed to decide the laterality of epileptic focus, and to assess the effect of surgery on patient's cognitive function and quality of life. Preoperative neuropsychological tests consisting of Wechsler Adult Intelligence Scale-III (WAIS) for IQ, Wechsler Memory Scale-III (WMS) for memory and patients' quality of life (QOLIE 31) were administered to refractory epilepsy patients under evaluation for surgical treatment. These tests were repeated one year after surgery and we studied any changes in trends. A total of seven patients were recruited in this study between July 2004 and July 2006. The aetiologies of refractory epilepsy were pure mesial temporal sclerosis (MTS) in five patients, dysembryogenic neuroepithelial tumour (DNET) in one and dual lesion of cavernous angioma with ipsilateral MTS in one. The preoperative neuropsychological tests were all in concordance to MRI finding, and showed good contralateral function; five lateralises to the right and two to the left. The post-operative Engel seizure count (median 8.00, IQR 7.00-8.75), general IQ (88 vs. 79), performance IQ (94 vs. 79), verbal memory (89 vs. 71), non-verbal memory (88 vs. 75) and QOLIE (53.14 vs. 44.71) were better compared to preoperative values. The verbal IQ (84 vs. 84) was unchanged. Neuropsychological tests are useful as ancillary investigations to determine the laterality of seizure focus and integrity of function in the contralateral temporal lobe. Following successful surgical treatment, there is a trend towards improvement in memory, IQ and quality of life scores in this small group of patients.
    Matched MeSH terms: Memory
  3. Wan Mohamed WN, Che Din N, Ibrahim N
    Malays J Med Sci, 2015 Dec;22(Spec Issue):29-35.
    PMID: 27006635
    A cross-sectional study was carried out at a medical centre to determine the cognitive profiles of 30 Parkinson's disease patients with age of 69.76 ± 7.39 years. Thirty-seven percent of the patients were found to be at risk for dementia. The scores on subscales of working memory and alternating verbal fluency were significantly lower in Parkinson's disease patients who were older than 77 years old. The scores on a subtest of working memory on the Parkinson's Disease Cognitive Rating Scale (PDCRS) were significantly lower in Parkinson's disease patients with a duration of illness of more than 10 years. In cognitive measurement, the subtests of verbal memory, delayed free recall and verbal fluency on the PD¬CRS were significantly lower in patients with less than six years of education. The patients who had difficulty with sustained attention, working memory and movement had significant anxiety and depression symptoms. In conclusion, multiple patterns in cognitive profiles influence the quality of life of patients with Parkinson's disease in multi-dimensional ways.
    Matched MeSH terms: Memory, Short-Term
  4. Dzulkifli MA, Mustafar MF
    Malays J Med Sci, 2013 Mar;20(2):3-9.
    PMID: 23983571 MyJurnal
    Human cognition involves many mental processes that are highly interrelated, such as perception, attention, memory, and thinking. An important and core cognitive process is memory, which is commonly associated with the storing and remembering of environmental information. An interesting issue in memory research is on ways to enhance memory performance, and thus, remembering of information. Can colour result in improved memory abilities? The present paper highlights the relationship between colours, attention, and memory performance. The significance of colour in different settings is presented first, followed by a description on the nature of human memory. The role of attention and emotional arousal on memory performance is discussed next. The review of several studies on colours and memory are meant to explain some empirical works done in the area and related issues that arise from such studies.
    Matched MeSH terms: Memory
  5. 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: Memory/drug effects*
  6. Alavi M, Mehrinezhad SA, Amini D, Ninggal MT, Latif AA
    J Gen Psychol, 2019 01 07;146(1):50-67.
    PMID: 30612531 DOI: 10.1080/00221309.2018.1535484
    This study investigated the relationship between trait emotional intelligence (TEI) and executive skills (ESs), and the differences between TEI and ESs among Malaysian and Iranian youths. In this study, 226 Malaysians and 248 Iranians completed the TEIQue-SF and Executive Skills Questionnaire. Hypotheses were tested with Partial Least Squares-Structural Equation Modeling (PLS-SEM). Findings indicated that TEI had significant predictions on ESs, depending on cultural contexts. Significant differences were found in the effects of TEI on ESs, including emotional control, metacognition, goal-directed persistence, response inhibition, planning/prioritization, sustained attention, stress tolerance, task initiation, and working memory among Malaysian and Iranian youth. No significant difference was found in the effects of TEI on ESs, including flexibility, organization, and time management across both groups. This study makes a unique contribution to emotional intelligence and executive functioning research literature by considering several ESs at the same time for personal development and promoting healthier lives. Comparison of the effect of TEI on ESs in the Malaysian and Iranian contexts using advanced analysis methods is one of the most important methodological contributions of the study.
    Matched MeSH terms: Memory, Short-Term/physiology*
  7. Musa NH, Mani V, Lim SM, Vidyadaran S, Abdul Majeed AB, Ramasamy K
    J Dairy Res, 2017 Nov;84(4):488-495.
    PMID: 29154736 DOI: 10.1017/S0022029917000620
    Nutritional interventions are now recommended as strategies to delay Alzheimer's disease (AD) progression. The present study evaluated the neuroprotective effect (anti-inflammation) of lactic acid bacteria (either Lactobacillus fermentum LAB9 or L. casei LABPC) fermented cow's milk (CM) against lipopolysaccharide (LPS)-activated microglial BV2 cells in vitro. The ability of CM-LAB in attenuating memory deficit in LPS-induced mice was also investigated. ICR mice were orally administered with CM-LAB for 28 d before induction of neuroinflammation by LPS. Learning and memory behaviour were assessed using the Morris Water Maze Test. Brain tissues were homogenised for measurement of acetylcholinesterase (AChE), antioxidative, lipid peroxidation (malondialdehyde (MDA)) and nitrosative stress (NO) parameters. Serum was collected for cytokine analysis. CM-LAB9 and CM-LABPC significantly (P < 0·05) decreased NO level but did not affect CD40 expression in vitro. CM-LAB attenuated LPS-induced memory deficit in mice. This was accompanied by significant (P < 0·05) increment of antioxidants (SOD, GSH, GPx) and reduction of MDA, AChE and also pro-inflammatory cytokines. Unfermented cow's milk (UCM) yielded greater cytokine lowering effect than CM-LAB. The present findings suggest that attenuation of LPS-induced neuroinflamation and memory deficit by CM-LAB could be mediated via anti-inflammation through inhibition of AChE and antioxidative activities.
    Matched MeSH terms: Memory Disorders/chemically induced; Memory Disorders/prevention & control*
  8. Sobri M, Lamont AC, Alias NA, Win MN
    Br J Radiol, 2003 Aug;76(908):532-5.
    PMID: 12893694
    Headache is a very common patient complaint but secondary causes for headache are unusual. Neuroimaging is both expensive and has a low yield in this group. Most patients with intracranial pathology have clinical features that would raise a "red flag". Appropriate selection of patients with headache for neuroimaging to look for secondary causes is very important. Red flags act as screening tools to help in identifying those patients presenting with headache who would benefit from prompt neuroimaging, and may increase the yield. The aim of this study is to evaluate clinical features in patients with headache using neuroimaging as a screening tool for intracranial pathology. 20 red flags were defined. A retrospective study of 111 patients was performed and the outcomes were divided into positive and negative. Abnormal neuroimaging was present in 39 patients. Results were analysed using the Logistic Regression model. Sensitivity and specificity of red flags were analysed to establish the cut-off point to predict abnormal neuroimaging and a receiver operating characteristic (ROC) curve plotted to show the sensitivity of the diagnostic test. Three red flag features proved to be statistically significant with the p-value of less than 0.05 on both univariate and multivariate analysis. These were: paralysis; papilloedema; and "drowsiness, confusion, memory impairment and loss of consciousness". In addition, if three or more red flags from the list were present, this showed strong indication of abnormal neuroimaging, from cut-off point of ROC curve (area under the curve =0.76).
    Matched MeSH terms: Memory Disorders/etiology
  9. Jobson L, Miskon N, Dalgleish T, Hitchcock C, Hill E, Golden AM, et al.
    Br J Clin Psychol, 2018 Sep;57(3):382-396.
    PMID: 29572886 DOI: 10.1111/bjc.12181
    OBJECTIVES: Distortions in autobiographical memory have been implicated in major depressive disorder (MDD). Those with MDD demonstrate a 'depressogenic' autobiographical life structure. Research has not examined how culture influences this process. We investigated whether Malay individuals (members of an interdependent culture) with MDD demonstrated a 'depressogenic' autobiographical life structure similar to that of British individuals (members of an independent culture) with MDD.

    DESIGN: A 2 (Culture; Malay, British) × 2 (Mood; depressed, control) cross-sectional design using a card sort task and self-report measures was used.

    METHODS: Malay individuals with MDD or no history of MDD completed the life-structure card-sorting task, which provided a novel method for investigating organizational structure of the life narrative. These data were compared to previously collected data in which British individuals with MDD or without MDD had completed the same task within the same experimental protocol.

    RESULTS: Pan-culturally those with MDD had greater negativity (i.e., used more negative attributes), negative redundancy (i.e., used the same negative attributes repeatedly across life chapters) and negative emodiversity (i.e., had greater variety and relative abundance of negative attributes), and reduced positive redundancy (i.e., used the same positive attributes repeatedly across chapters) in their structuring relative to controls. While the British MDD group had greater compartmentalization (i.e., the negative and positive attributes were clustered separately across different chapters) than British controls, the Malay MDD group had lower levels of compartmentalization than Malay controls.

    CONCLUSIONS: The findings suggest culture may shape aspects of the autobiographical life structure in MDD.

    PRACTITIONER POINTS: The majority of the literature investigating depression pertains to individuals from European Western cultures, despite recognition that depression ranks as one of the most debilitating diseases worldwide. This raises questions as to whether current depression models and interventions can be applied universally or whether they are limited to European Western groups. The current study found that pan-culturally those with MDD had similar structuring of their life story relative to controls. However, there were some cultural differences that need to be considered (e.g., Malay individuals provided less detailed, less elaborate and less emotionally diverse life stories and while the British MDD group had greater compartmentalization than British controls, the Malay MDD group had lower levels of compartmentalization than Malay controls). Limitations of the study included group differences in gender and mood at the time of testing. Cultural differences in the number of attributes used may have influenced findings. Only the Malay group completed the individualism-collectivism measure.

    Matched MeSH terms: Memory, Episodic*
  10. Yahya N, Manan HA
    Support Care Cancer, 2021 Jun;29(6):3035-3047.
    PMID: 33040284 DOI: 10.1007/s00520-020-05808-z
    BACKGROUND: Proton therapy (PT), frequently utilised to treat paediatric brain tumour (PBT) patients, eliminates exit dose and minimises dose to healthy tissues that theoretically can mitigate treatment-related effects including cognitive deficits. As clinical outcome data are emerging, we aimed to systematically review current evidence of cognitive changes following PT of PBT.

    MATERIALS AND METHODS: We searched PubMed and Scopus electronic databases to identify eligible reports on cognitive changes following PT of PBT according to PRISMA guidelines. Reports were extracted for information on demographics and cognitive outcomes. Then, they were systematically reviewed based on three themes: (1) comparison with photon therapy, (2) comparison with baseline cognitive measures, to population normative mean or radiotherapy-naïve PBT patients and (3) effects of dose distribution to cognition.

    RESULTS: Thirteen reports (median size (range): 70 (12-144)) were included. Four reports compared the cognitive outcome between PBT patients treated with proton to photon therapy and nine compared with baseline/normative mean/radiotherapy naïve from which two reported the effects of dose distribution. Reports found significantly poorer cognitive outcome among patients treated with photon therapy compared with proton therapy especially in general cognition and working memory. Craniospinal irradiation (CSI) was consistently associated with poorer cognitive outcome while focal therapy was associated with minor cognitive change/difference. In limited reports available, higher doses to the hippocampus and temporal lobes were implicated to larger cognitive change.

    CONCLUSION: Available evidence suggests that PT causes less cognitive deficits compared with photon therapy. Children who underwent focal therapy with proton were consistently shown to have low risk of cognitive deficit suggesting the need for future studies to separate them from CSI. Evidence on the effect of dose distribution to cognition in PT is yet to mature.

    Matched MeSH terms: Memory, Short-Term
  11. Al-Qazzaz NK, Bin Mohd Ali SH, Ahmad SA, Islam MS, Escudero J
    Sensors (Basel), 2015;15(11):29015-35.
    PMID: 26593918 DOI: 10.3390/s151129015
    We performed a comparative study to select the efficient mother wavelet (MWT) basis functions that optimally represent the signal characteristics of the electrical activity of the human brain during a working memory (WM) task recorded through electro-encephalography (EEG). Nineteen EEG electrodes were placed on the scalp following the 10-20 system. These electrodes were then grouped into five recording regions corresponding to the scalp area of the cerebral cortex. Sixty-second WM task data were recorded from ten control subjects. Forty-five MWT basis functions from orthogonal families were investigated. These functions included Daubechies (db1-db20), Symlets (sym1-sym20), and Coiflets (coif1-coif5). Using ANOVA, we determined the MWT basis functions with the most significant differences in the ability of the five scalp regions to maximize their cross-correlation with the EEG signals. The best results were obtained using "sym9" across the five scalp regions. Therefore, the most compatible MWT with the EEG signals should be selected to achieve wavelet denoising, decomposition, reconstruction, and sub-band feature extraction. This study provides a reference of the selection of efficient MWT basis functions.
    Matched MeSH terms: Memory, Short-Term
  12. Ba Wazir AS, Karim HA, Abdullah MHL, AlDahoul N, Mansor S, Fauzi MFA, et al.
    Sensors (Basel), 2021 Jan 21;21(3).
    PMID: 33494254 DOI: 10.3390/s21030710
    Given the excessive foul language identified in audio and video files and the detrimental consequences to an individual's character and behaviour, content censorship is crucial to filter profanities from young viewers with higher exposure to uncensored content. Although manual detection and censorship were implemented, the methods proved tedious. Inevitably, misidentifications involving foul language owing to human weariness and the low performance in human visual systems concerning long screening time occurred. As such, this paper proposed an intelligent system for foul language censorship through a mechanized and strong detection method using advanced deep Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) through Long Short-Term Memory (LSTM) cells. Data on foul language were collected, annotated, augmented, and analysed for the development and evaluation of both CNN and RNN configurations. Hence, the results indicated the feasibility of the suggested systems by reporting a high volume of curse word identifications with only 2.53% to 5.92% of False Negative Rate (FNR). The proposed system outperformed state-of-the-art pre-trained neural networks on the novel foul language dataset and proved to reduce the computational cost with minimal trainable parameters.
    Matched MeSH terms: Memory, Short-Term; Memory, Long-Term
  13. Al-Qazzaz NK, Hamid Bin Mohd Ali S, Ahmad SA, Islam MS, Escudero J
    Sensors (Basel), 2017 Jun 08;17(6).
    PMID: 28594352 DOI: 10.3390/s17061326
    Characterizing dementia is a global challenge in supporting personalized health care. The electroencephalogram (EEG) is a promising tool to support the diagnosis and evaluation of abnormalities in the human brain. The EEG sensors record the brain activity directly with excellent time resolution. In this study, EEG sensor with 19 electrodes were used to test the background activities of the brains of five vascular dementia (VaD), 15 stroke-related patients with mild cognitive impairment (MCI), and 15 healthy subjects during a working memory (WM) task. The objective of this study is twofold. First, it aims to enhance the recorded EEG signals using a novel technique that combines automatic independent component analysis (AICA) and wavelet transform (WT), that is, the AICA-WT technique; second, it aims to extract and investigate the spectral features that characterize the post-stroke dementia patients compared to the control subjects. The proposed AICA-WT technique is a four-stage approach. In the first stage, the independent components (ICs) were estimated. In the second stage, three-step artifact identification metrics were applied to detect the artifactual components. The components identified as artifacts were marked as critical and denoised through DWT in the third stage. In the fourth stage, the corrected ICs were reconstructed to obtain artifact-free EEG signals. The performance of the proposed AICA-WT technique was compared with those of two other techniques based on AICA and WT denoising methods using cross-correlation X C o r r and peak signal to noise ratio ( P S N R ) (ANOVA, p ˂ 0.05). The AICA-WT technique exhibited the best artifact removal performance. The assumption that there would be a deceleration of EEG dominant frequencies in VaD and MCI patients compared with control subjects was assessed with AICA-WT (ANOVA, p ˂ 0.05). Therefore, this study may provide information on post-stroke dementia particularly VaD and stroke-related MCI patients through spectral analysis of EEG background activities that can help to provide useful diagnostic indexes by using EEG signal processing.
    Matched MeSH terms: Memory, Short-Term
  14. Shaukat HR, Hashim F, Shaukat MA, Ali Alezabi K
    Sensors (Basel), 2020 Apr 17;20(8).
    PMID: 32316487 DOI: 10.3390/s20082283
    Wireless sensor networks (WSNs) are often deployed in hostile environments, where an adversary can physically capture some of the sensor nodes. The adversary collects all the nodes' important credentials and subsequently replicate the nodes, which may expose the network to a number of other security attacks, and eventually compromise the entire network. This harmful attack where a single or more nodes illegitimately claims an identity as replicas is known as the node replication attack. The problem of node replication attack can be further aggravated due to the mobile nature in WSN. In this paper, we propose an extended version of multi-level replica detection technique built on Danger Theory (DT), which utilizes a hybrid approach (centralized and distributed) to shield the mobile wireless sensor networks (MWSNs) from clone attacks. The danger theory concept depends on a multi-level of detections; first stage (highlights the danger zone (DZ) by checking the abnormal behavior of mobile nodes), second stage (battery check and random number) and third stage (inform about replica to other networks). The DT method performance is highlighted through security parameters such as false negative, energy, detection time, communication overhead and delay in detection. The proposed approach also demonstrates that the hybrid DT method is capable and successful in detecting and mitigating any malicious activities initiated by the replica. Nowadays, crimes are vastly increasing and it is crucial to modify the systems accordingly. Indeed, it is understood that the communication needs to be secured by keen observation at each level of detection. The simulation results show that the proposed approach overcomes the weaknesses of the previous and existing centralized and distributed approaches and enhances the performance of MWSN in terms of communication and memory overhead.
    Matched MeSH terms: Memory
  15. Chui KT, Gupta BB, Liu RW, Zhang X, Vasant P, Thomas JJ
    Sensors (Basel), 2021 Sep 25;21(19).
    PMID: 34640732 DOI: 10.3390/s21196412
    Road traffic accidents have been listed in the top 10 global causes of death for many decades. Traditional measures such as education and legislation have contributed to limited improvements in terms of reducing accidents due to people driving in undesirable statuses, such as when suffering from stress or drowsiness. Attention is drawn to predicting drivers' future status so that precautions can be taken in advance as effective preventative measures. Common prediction algorithms include recurrent neural networks (RNNs), gated recurrent units (GRUs), and long short-term memory (LSTM) networks. To benefit from the advantages of each algorithm, nondominated sorting genetic algorithm-III (NSGA-III) can be applied to merge the three algorithms. This is named NSGA-III-optimized RNN-GRU-LSTM. An analysis can be made to compare the proposed prediction algorithm with the individual RNN, GRU, and LSTM algorithms. Our proposed model improves the overall accuracy by 11.2-13.6% and 10.2-12.2% in driver stress prediction and driver drowsiness prediction, respectively. Likewise, it improves the overall accuracy by 6.9-12.7% and 6.9-8.9%, respectively, compared with boosting learning with multiple RNNs, multiple GRUs, and multiple LSTMs algorithms. Compared with existing works, this proposal offers to enhance performance by taking some key factors into account-namely, using a real-world driving dataset, a greater sample size, hybrid algorithms, and cross-validation. Future research directions have been suggested for further exploration and performance enhancement.
    Matched MeSH terms: Memory, Long-Term
  16. Balla A, Habaebi MH, Elsheikh EAA, Islam MR, Suliman FM
    Sensors (Basel), 2023 Jan 09;23(2).
    PMID: 36679553 DOI: 10.3390/s23020758
    Integrating IoT devices in SCADA systems has provided efficient and improved data collection and transmission technologies. This enhancement comes with significant security challenges, exposing traditionally isolated systems to the public internet. Effective and highly reliable security devices, such as intrusion detection system (IDSs) and intrusion prevention systems (IPS), are critical. Countless studies used deep learning algorithms to design an efficient IDS; however, the fundamental issue of imbalanced datasets was not fully addressed. In our research, we examined the impact of data imbalance on developing an effective SCADA-based IDS. To investigate the impact of various data balancing techniques, we chose two unbalanced datasets, the Morris power dataset, and CICIDS2017 dataset, including random sampling, one-sided selection (OSS), near-miss, SMOTE, and ADASYN. For binary classification, convolutional neural networks were coupled with long short-term memory (CNN-LSTM). The system's effectiveness was determined by the confusion matrix, which includes evaluation metrics, such as accuracy, precision, detection rate, and F1-score. Four experiments on the two datasets demonstrate the impact of the data imbalance. This research aims to help security researchers in understanding imbalanced datasets and their impact on DL SCADA-IDS.
    Matched MeSH terms: Memory, Long-Term
  17. Malik NUR, Sheikh UU, Abu-Bakar SAR, Channa A
    Sensors (Basel), 2023 Mar 02;23(5).
    PMID: 36904953 DOI: 10.3390/s23052745
    Human action recognition (HAR) is one of the most active research topics in the field of computer vision. Even though this area is well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-LSTM (Long Short-Term Memory) suffer from highly complex models. These algorithms involve a huge number of weights adjustments during the training phase, and as a consequence, require high-end configuration machines for real-time HAR applications. Therefore, this paper presents an extraneous frame scrapping technique that employs 2D skeleton features with a Fine-KNN classifier-based HAR system to overcome the dimensionality problems.To illustrate the efficacy of our proposed method, two contemporary datasets i.e., Multi-Camera Action Dataset (MCAD) and INRIA Xmas Motion Acquisition Sequences (IXMAS) dataset was used in experiment. We used the OpenPose technique to extract the 2D information, The proposed method was compared with CNN-LSTM, and other State of the art methods. Results obtained confirm the potential of our technique. The proposed OpenPose-FineKNN with Extraneous Frame Scrapping Technique achieved an accuracy of 89.75% on MCAD dataset and 90.97% on IXMAS dataset better than existing technique.
    Matched MeSH terms: Memory, Long-Term
  18. Bhuvanendran S, Bakar SNS, Kumari Y, Othman I, Shaikh MF, Hassan Z
    Sci Rep, 2019 10 10;9(1):14507.
    PMID: 31601902 DOI: 10.1038/s41598-019-50954-y
    Alzheimer's disease (AD) is the second most occurring neurological disorder after stroke and is associated with cerebral hypoperfusion, possibly contributing to cognitive impairment. In the present study, neuroprotective and anti-AD effects of embelin were evaluated in chronic cerebral hypoperfusion (CCH) rat model using permanent bilateral common carotid artery occlusion (BCCAO) method. Rats were administered with embelin at doses of 0.3, 0.6 or 1.2 mg/kg (i.p) on day 14 post-surgery and tested in Morris water maze (MWM) followed by electrophysiological recordings to access cognitive abilities and synaptic plasticity. The hippocampal brain regions were extracted for gene expression and neurotransmitters analysis. Treatment with embelin at the doses of 0.3 and 0.6 mg/kg significantly reversed the spatial memory impairment induced by CCH in rats. Embelin treatment has significantly protected synaptic plasticity impairment as assessed by hippocampal long-term potentiation (LTP) test. The mechanism of this study demonstrated that embelin treatment alleviated the decreased expression of BDNF, CREB1, APP, Mapt, SOD1 and NFκB mRNA levels caused by CCH rats. Furthermore, treatment with embelin demonstrated neuromodulatory activity by its ability to restore hippocampal neurotransmitters. Overall these data suggest that embelin improve memory and synaptic plasticity impairment in CCH rats and can be a potential drug candidate for neurodegenerative disease-related cognitive disorders.
    Matched MeSH terms: Spatial Memory/drug effects
  19. Sivalingam M, Ogawa S, Parhar IS
    Sci Rep, 2020 11 11;10(1):19569.
    PMID: 33177592 DOI: 10.1038/s41598-020-76287-9
    The habenula is an evolutionarily conserved brain structure, which has recently been implicated in fear memory. In the zebrafish, kisspeptin (Kiss1) is predominantly expressed in the habenula, which has been implicated as a modulator of fear response. Hence, in the present study, we questioned whether Kiss1 has a role in fear memory and morphine-induced fear memory impairment using an odorant cue (alarm substances, AS)-induced fear avoidance paradigm in adult zebrafish, whereby the fear-conditioned memory can be assessed by a change of basal place preference (= avoidance) of fish due to AS-induced fear experience. Subsequently, to examine the possible role of Kiss1 neurons-serotonergic pathway, kiss1 mRNA and serotonin levels were measured. AS exposure triggered fear episodes and fear-conditioned place avoidance. Morphine treatment followed by AS exposure, significantly impaired fear memory with increased time-spent in AS-paired compartment. However, fish administered with Kiss1 (10-21 mol/fish) after morphine treatment had significantly lower kiss1 mRNA levels but retained fear memory. In addition, the total brain serotonin levels were significantly increased in AS- and Kiss1-treated groups as compared to control and morphine treated group. These results suggest that habenular Kiss1 might be involved in consolidation or retrieval of fear memory through the serotonin system.
    Matched MeSH terms: Memory Disorders/chemically induced; Memory Disorders/drug therapy*; Memory Disorders/genetics
  20. Lee HC, Hamzah H, Leong MP, Md Yusof H, Habib O, Zainal Abidin S, et al.
    Sci Rep, 2021 Feb 15;11(1):3847.
    PMID: 33589712 DOI: 10.1038/s41598-021-83222-z
    Ruxolitinib is the first janus kinase 1 (JAK1) and JAK2 inhibitor that was approved by the United States Food and Drug Administration (FDA) agency for the treatment of myeloproliferative neoplasms. The drug targets the JAK/STAT signalling pathway, which is critical in regulating the gliogenesis process during nervous system development. In the study, we assessed the effect of non-maternal toxic dosages of ruxolitinib (0-30 mg/kg/day between E7.5-E20.5) on the brain of the developing mouse embryos. While the pregnant mice did not show any apparent adverse effects, the Gfap protein marker for glial cells and S100β mRNA marker for astrocytes were reduced in the postnatal day (P) 1.5 pups' brains. Gfap expression and Gfap+ cells were also suppressed in the differentiating neurospheres culture treated with ruxolitinib. Compared to the control group, adult mice treated with ruxolitinib prenatally showed no changes in motor coordination, locomotor function, and recognition memory. However, increased explorative behaviour within an open field and improved spatial learning and long-term memory retention were observed in the treated group. We demonstrated transplacental effects of ruxolitinib on astrogenesis, suggesting the potential use of ruxolitinib to revert pathological conditions caused by gliogenic-shift in early brain development such as Down and Noonan syndromes.
    Matched MeSH terms: Memory/drug effects*
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