Displaying publications 61 - 80 of 275 in total

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  1. Choo BKM, Kundap UP, Kumari Y, Hue SM, Othman I, Shaikh MF
    Front Pharmacol, 2018;9:139.
    PMID: 29527169 DOI: 10.3389/fphar.2018.00139
    Epileptic seizures result from abnormal brain activity and can affect motor, autonomic and sensory function; as well as, memory, cognition, behavior, or emotional state. Effective anti-epileptic drugs (AEDs) are available but have tolerability issues due to their side effects. The Malaysian herbOrthosiphon stamineus, is a traditional epilepsy remedy and possesses anti-inflammatory, anti-oxidant and free-radical scavenging abilities, all of which are known to protect against seizures. This experiment thus aimed to explore if an ethanolic leaf extract ofO. stamineushas the potential to be a novel symptomatic treatment for epileptic seizures in a zebrafish model; and the effects of the extract on the expression levels of several genes in the zebrafish brain which are associated with seizures. The results of this study indicate thatO. stamineushas the potential to be a novel symptomatic treatment for epileptic seizures as it is pharmacologically active against seizures in a zebrafish model. The anti-convulsive effect of this extract is also comparable to that of diazepam at higher doses and can surpass diazepam in certain cases. Treatment with the extract also counteracts the upregulation of NF-κB, NPY and TNF-α as a result of a Pentylenetetrazol (PTZ) treated seizure. The anti-convulsive action for this extract could be at least partially due to its downregulation of TNF-α. Future work could include the discovery of the active anti-convulsive compound, as well as determine if the extract does not cause cognitive impairment in zebrafish.
    Matched MeSH terms: Memory
  2. Choo, Brandon Kar Meng, Kumari, Yatinesh, Mun, Hue-Seow, Shaikh, Mohd. Farooq
    Neuroscience Research Notes, 2018;1(3):35-53.
    MyJurnal
    Epileptic seizures result from excessive brain activity and may affect sensory, motor and autonomic function; as well as, emotional state, memory, cognition or behaviour. Effective anti-epileptic drugs (AEDs) are available but have tolerability issues due to their side effects. Medicinal plants are potential candidates for novel AEDs, as many are traditional epilepsy remedies. Malaysia is a megadiverse country, with many endemic plants serving as a large pool of potential candidates for the development of local herbal products. The large variety of flora makesMalaysia a prime location for the discovery of medicinal plants with anti-convulsive potential. This review lists 23 Malaysian medicinal plants, of which four are used traditionally to treat epilepsy, without any scientific evidence. A further eight plants have no known traditional anti-epileptic usebut have scientific evidence of its anti-epileptic activity. The remaining 11 plants possess both traditional use and scientific evidence. Thus, this review identified several potential candidates for the development of novel AEDs or enhancing current ones; as well as identified an imbalance between traditional use and scientific evidence. In addition, this review also identified several limitations in the reviewed studies and provided additional information to facilitate the design of future studies.
    Matched MeSH terms: Memory
  3. Chooi WT, Logie R
    Mem Cognit, 2020 11;48(8):1484-1503.
    PMID: 32661910 DOI: 10.3758/s13421-020-01066-w
    Contemporary cognitive training literature suggests that training on an adaptive task produces improvements only in the trained task or near transfer effects. No study has yet systematically explained the mechanism behind improved performance on the N-back. In this study, we first investigated how improvements in an N-back task using eight pairs of phonologically similar words as stimuli occurred by examining error distributions of the task over training sessions. Nineteen participants (non-native English speakers) trained for 20 sessions over 5 weeks. We observed a reduction in false alarms to non-target words and fewer missed target words. Though the absolute number of phonological-based errors reduced as training progressed, the proportion of this error type did not decrease over time suggesting participants increasingly relied on subvocal rehearsal in completing the N-back. In the second experiment, we evaluated if improvements developed during N-back training transferred to tasks that relied on serial order memory using simple span tasks (letter span with phonologically distinct letters, letter span with phonologically similar letters, digit span forward, and digit span backward). Twenty-nine participants trained on the N-back and 16 trained on the Operation Span (OSPAN) for 15 sessions over 4 weeks. Neither group of participants showed improvements on any of the simple span tasks. In the third experiment, 20 participants (16 native English speakers) trained on the N-back for 15 sessions over 4 weeks also showed increasing reliance on subvocal rehearsal as they progressed through training. Self-report strategy use did not predict improvements on the N-back.
    Matched MeSH terms: Memory
  4. Choong Boon Ng, Wah June Leong, Mansor Monsi
    MyJurnal
    The nonlinear conjugate gradient (CG) methods have widely been used in solving unconstrained optimization problems. They are well-suited for large-scale optimization problems due to their low memory requirements and least computational costs. In this paper, a new diagonal preconditioned conjugate gradient (PRECG) algorithm is designed, and this is motivated by the fact that a pre-conditioner can greatly enhance the performance of the CG method. Under mild conditions, it is shown that the algorithm is globally convergent for strongly convex functions. Numerical results are presented to show that the new diagonal PRECG method works better than the standard CG method.
    Matched MeSH terms: Memory
  5. 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
  6. Chung YS, Choo BKM, Ahmed PK, Othman I, Shaikh MF
    Front Pharmacol, 2020;11:692.
    PMID: 32477146 DOI: 10.3389/fphar.2020.00692
    Orthosiphon stamineus (OS) or Orthosiphon aristatus var. aristatus (OAA) is commonly known as cat's whiskers or "misai kucing". It is an herbaceous shrub that is popular in many different traditional and complementary medicinal systems. Its popularity has been justified by the plethora of studies that have shown that the secondary metabolites of the plant has effects that range from anti-inflammatory and gastroprotective to anorexic and antihypertensive. As such, OS could also be a potential treatment for Central Nervous System (CNS) disorders. However, a cohesive synthesis of the protective actions of OS was lacking. This systematic review was therefore commenced to elaborate on the various protective mechanisms of OS in the CNS. The PRISMA model was used and five databases (Google Scholar, SCOPUS, SpringerLink, ScienceDirect, and PubMed) were searched with relevant keywords to finally identify four articles that met the inclusion criteria. The articles described the protective effects of OS extracts on Alzheimer's disease, epilepsy, learning and memory, oxidative stress, and neurotoxicity. All the articles found were experimental or preclinical studies on animal models or in vitro systems. The reported activities demonstrated that OS could be a potential neuroprotective agent and might improve CNS conditions like neurodegeneration, neuroinflammation, and oxidative stress.
    Matched MeSH terms: Memory
  7. Concessao P, Bairy LK, Raghavendra AP
    Vet World, 2020 Aug;13(8):1555-1566.
    PMID: 33061227 DOI: 10.14202/vetworld.2020.1555-1566
    Background and Aim: Intoxication of arsenic in rats is known to result in neurological effects as well as liver and kidney dysfunction. Mucuna pruriens has been identified for its medicinal properties. The aim of the study was to investigate the protective effect of aqueous seed extract of M. pruriens on sodium arsenite-induced memory impairment, liver, and kidney functions in rats.

    Materials and Methods: The experiment was divided into short-term treatment (45 days) and long-term treatment (90 days), with each group divided into nine sub-groups consisting of six animals each. Sub-groups 1 and 2 served as normal, and N-acetylcysteine (NAC) controls, respectively. Sub-groups 3-9 received sodium arsenite in drinking water (50 mg/L). In addition, sub-group 4 received NAC (210 mg/kg b.wt) orally once daily, sub-groups 5-7 received aqueous seed extract of M. pruriens (350 mg/kg b.wt, 530 mg/kg b.wt, and 700 mg/kg b.wt) orally once daily and sub-groups 8 and 9 received a combination of NAC and aqueous seed extract of M. pruriens (350 mg/kg b.wt and 530 mg/kg b.wt) orally once daily. Following the treatment, the blood was drawn retro-orbitally to assess the liver (serum alanine transaminase [ALT], serum aspartate transaminase, and serum alkaline phosphatase) and kidney (serum urea and serum creatinine) functions. Learning and memory were assessed by passive avoidance test. Animals were sacrificed by an overdose of ketamine, and their Nissl stained hippocampal sections were analyzed for alterations in neural cell numbers in CA1 and CA3 regions.

    Results: In the short-term treatment, groups administered with M. pruriens 530 mg/kg b.wt alone and combination of NAC + M. pruriens 350 mg/kg b.wt exhibited a significant improvement in memory retention, less severe neurodegeneration, and decrease in serum ALT levels. In long-term treatment, groups administered with M. pruriens 700 mg/kg b.wt alone and combination of NAC+M. pruriens 350 mg/kg b.wt, respectively, showed better memory retention, decreased neural deficits, and reduced levels of kidney and liver enzymes.

    Conclusion: The seed extract of M. pruriens showed significant enhancement in memory and learning. The number of surviving neurons in the CA1 and CA3 regions also increased on treatment with M. pruriens. Serum ALT, serum urea, and serum creatinine levels showed significant improvement on long-term treatment with M. pruriens.

    Matched MeSH terms: Memory
  8. Cuk A, Bezdan T, Jovanovic L, Antonijevic M, Stankovic M, Simic V, et al.
    Sci Rep, 2024 Feb 21;14(1):4309.
    PMID: 38383690 DOI: 10.1038/s41598-024-54680-y
    Parkinson's disease (PD) is a progressively debilitating neurodegenerative disorder that primarily affects the dopaminergic system in the basal ganglia, impacting millions of individuals globally. The clinical manifestations of the disease include resting tremors, muscle rigidity, bradykinesia, and postural instability. Diagnosis relies mainly on clinical evaluation, lacking reliable diagnostic tests and being inherently imprecise and subjective. Early detection of PD is crucial for initiating treatments that, while unable to cure the chronic condition, can enhance the life quality of patients and alleviate symptoms. This study explores the potential of utilizing long-short term memory neural networks (LSTM) with attention mechanisms to detect Parkinson's disease based on dual-task walking test data. Given that the performance of networks is significantly inductance by architecture and training parameter choices, a modified version of the recently introduced crayfish optimization algorithm (COA) is proposed, specifically tailored to the requirements of this investigation. The proposed optimizer is assessed on a publicly accessible real-world clinical gait in Parkinson's disease dataset, and the results demonstrate its promise, achieving an accuracy of 87.4187 % for the best-constructed models.
    Matched MeSH terms: Memory, Short-Term
  9. Damodaran T, Tan BWL, Liao P, Ramanathan S, Lim GK, Hassan Z
    J Ethnopharmacol, 2018 Oct 05;224:381-390.
    PMID: 29920356 DOI: 10.1016/j.jep.2018.06.020
    ETHNOPHARMACOLOGICAL RELEVANCE: Clitoria ternatea L. (CT), commonly known as Butterfly pea, is used in Indian Ayurvedic medicine to promote brain function and treat mental disorders. Root of CT has been proven to enhance memory, but its role in an animal model of chronic cerebral hypoperfusion (CCH), which has been considered as a major cause of brain disorders, has yet to be explored.

    AIM OF THE STUDY: To assess the motor and cognitive effects of acute oral administration of CT root methanolic extract and hippocampal long-term plasticity in the CA1 region of the CCH rat model.

    MATERIALS AND METHODS: Male Sprague Dawley rats (200-300 g) were subjected to permanent bilateral occlusion of common carotid arteries (PBOCCA) or sham operation. Then, these rats were given oral administration of CT root extract at doses of 100, 200 or 300 mg/kg on day 28 post-surgery and tested using behavioural tests (open-field test, passive avoidance task, and Morris water maze) and electrophysiological recordings (under urethane anaesthesia).

    RESULTS: Treatment with CT root extract at the doses of 200 and 300 mg/kg resulted in a significant enhancement in memory performance in CCH rats induced by PBOCCA. Furthermore, CCH resulted in inhibition of long-term potentiation (LTP) formation in the hippocampus, and CT root extract rescued the LTP impairment. The CT root extract was confirmed to improve the glutamate-induced calcium increase via calcium imaging using primary cultured rat neurons. No significance difference was found in the CaMKII expression. These results demonstrated that CT root extract ameliorates synaptic function, which may contribute to its improving effect on cognitive behaviour.

    CONCLUSIONS: Our findings demonstrated an improving effect of CT root extract on memory in the CCH rat model suggesting that CT root extract could be a potential therapeutic strategy to prevent the progression of cognitive deterioration in vascular dementia (VaD) and Alzheimer's disease (AD) patients.

    Matched MeSH terms: Memory/drug effects
  10. Damodaran T, Müller CP, Hassan Z
    Pharmacol Rep, 2019 Jun;71(3):443-448.
    PMID: 31003155 DOI: 10.1016/j.pharep.2019.01.012
    BACKGROUND: Chronic cerebral hypoperfusion (CCH) can induce the accumulation of reactive oxygen species, which leads to oxidative damage, neuronal injury, and central cholinergic dysfunction in vulnerable regions of the brain, such as the hippocampus and cerebral cortex. These effects can lead to significant cognitive impairments in clinical populations of vascular dementia (VaD). The present studies aimed to investigate the role of the cholinergic system in memory functions and hippocampal long-term potentiation (LTP) impairments induced by CCH in rats.

    METHODS: Male Sprague Dawley rats were subjected to permanent bilateral occlusion of common carotid arteries (PBOCCA) or sham surgery. Then, PBOCCA rats received ip injections with, either vehicle (control group), the muscarinic receptor agonist oxotremorine (0.1 mg/kg), or the acetylcholinesterase inhibitor physostigmine (0.1 mg/kg). Cognitive functions were evaluated using a passive avoidance task and the Morris water maze test. In addition, hippocampal LTP was recorded in vivo under anaesthesia.

    RESULTS: The PBOCCA rats exhibited significant deficits in passive avoidance retention and spatial learning and memory tests. They also showed a suppression of LTP formation in the hippocampus. Oxotremorine and physostigmine significantly improved the learning and memory deficits as well as the suppression of LTP in PBOCCA rats.

    CONCLUSIONS: The present data suggest that the cholinergic system plays an important role in CCH-induced cognitive deficits and could be an effective therapeutic target for the treatment of VaD.

    Matched MeSH terms: Memory/drug effects*; Memory Disorders/drug therapy*; Memory Disorders/etiology
  11. De S, Nagandla K, Kanagasabai S
    MyJurnal
    Introduction: Just-in-Time Teaching (JiTT) is a novel method of teaching-learning used in various disciplines of science and humanities. It is a technique that scaffolds the students learning process by reducing the cognitive load which is the load related to the executive control of working memory. Just in time teaching underpins the concept that expertise in learning originates from the knowledge already stored in long term memory and with subsequent interaction between the learner and teacher motivates enhanced active learning and optimizes the intellectual performance.
    Objective: The objective of the study is to assess the acceptability of JiTT over traditional lecture teaching among the medical students.
    Method: In a cross sectional pilot study, three hundred thirty five students participated in a questionnaire based study that grades the various aspects of the traditional lecture series. After the implementation of JiTT method for a period of four months, three hundred two students completed the questionnaire, grading the same variables for JiTT. The analysis was done by using SPSS version 11 applying Paired t test and McNemar's Test.
    Result: The results of our study highlighted that JiTT technique was perceived superior to traditional teaching with statistically significant outcomes in the clarity of the topic (p=0.003,) duration of the session (p=0.002), knowledge gained and orientation for exams (p=0.044). The students perceived JiTT method as less monotonous (p=0.005) increasing their alertness during these sessions (p=0.002).
    Conclusion: We therefore propose that Just-in-Time Teaching method is a more interactive and acceptable teaching-learning tool shifting the nature of teaching to a more student-centric approach as perceived by the medical students. This is the first pioneer study on JiTT to be performed on undergraduate medical students so far.
    Matched MeSH terms: Memory, Short-Term; Memory, Long-Term
  12. Dikshit A, Pradhan B, Alamri AM
    Sci Total Environ, 2021 Feb 10;755(Pt 2):142638.
    PMID: 33049536 DOI: 10.1016/j.scitotenv.2020.142638
    Drought forecasting with a long lead time is essential for early warning systems and risk management strategies. The use of machine learning algorithms has been proven to be beneficial in forecasting droughts. However, forecasting at long lead times remains a challenge due to the effects of climate change and the complexities involved in drought assessment. The rise of deep learning techniques can solve this issue, and the present work aims to use a stacked long short-term memory (LSTM) architecture to forecast a commonly used drought measure, namely, the Standard Precipitation Evaporation Index. The model was then applied to the New South Wales region of Australia, with hydrometeorological and climatic variables as predictors. The multivariate interpolated grid of the Climatic Research Unit was used to compute the index at monthly scales, with meteorological variables as predictors. The architecture was trained using data from the period of 1901-2000 and tested on data from the period of 2001-2018. The results were then forecasted at lead times ranging from 1 month to 12 months. The forecasted results were analysed in terms of drought characteristics, such as drought intensity, drought onset, spatial extent and number of drought months, to elucidate how these characteristics improve the understanding of drought forecasting. The drought intensity forecasting capability of the model used two statistical metrics, namely, the coefficient of determination (R2) and root-mean-square error. The variation in the number of drought months was examined using the threat score technique. The results of this study showed that the stacked LSTM model can forecast effectively at short-term and long-term lead times. Such findings will be essential for government agencies and can be further tested to understand the forecasting capability of the presented architecture at shorter temporal scales, which can range from days to weeks.
    Matched MeSH terms: Memory, Short-Term
  13. Dikshit A, Pradhan B, Huete A
    J Environ Manage, 2021 Apr 01;283:111979.
    PMID: 33482453 DOI: 10.1016/j.jenvman.2021.111979
    Droughts are slow-moving natural hazards that gradually spread over large areas and capable of extending to continental scales, leading to severe socio-economic damage. A key challenge is developing accurate drought forecast model and understanding a models' capability to examine different drought characteristics. Traditionally, forecasting techniques have used various time-series approaches and machine learning models. However, the use of deep learning methods have not been tested extensively despite its potential to improve our understanding of drought characteristics. The present study uses a deep learning approach, specifically the Long Short-Term Memory (LSTM) to predict a commonly used drought measure, the Standard Precipitation Evaporation Index (SPEI) at two different time scales (SPEI 1, SPEI 3). The model was compared with other common machine learning method, Random Forests, Artificial Neural Networks and applied over the New South Wales (NSW) region of Australia, using hydro-meteorological variables as predictors. The drought index and predictor data were collected from the Climatic Research Unit (CRU) dataset spanning from 1901 to 2018. We analysed the LSTM forecasted results in terms of several drought characteristics (drought intensity, drought category, or spatial variation) to better understand how drought forecasting was improved. Evaluation of the drought intensity forecasting capabilities of the model were based on three different statistical metrics, Coefficient of Determination (R2), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). The model achieved R2 value of more than 0.99 for both SPEI 1 and SPEI 3 cases. The variation in drought category forecasted results were studied using a multi-class Receiver Operating Characteristic based Area under Curves (ROC-AUC) approach. The analysis revealed an AUC value of 0.83 and 0.82 for SPEI 1 and SPEI 3 respectively. The spatial variation between observed and forecasted values were analysed for the summer months of 2016-2018. The findings from the study show an improvement relative to machine learning models for a lead time of 1 month in terms of different drought characteristics. The results from this work can be used for drought mitigation purposes and different models need to be tested to further enhance our capabilities.
    Matched MeSH terms: Memory, Short-Term*
  14. Dutra NB, Chen L, Anum A, Burger O, Davis HE, Dzokoto VA, et al.
    Dev Sci, 2022 Sep;25(5):e13228.
    PMID: 35025126 DOI: 10.1111/desc.13228
    Self-regulation is a widely studied construct, generally assumed to be cognitively supported by executive functions (EFs). There is a lack of clarity and consensus over the roles of specific components of EFs in self-regulation. The current study examines the relations between performance on (a) a self-regulation task (Heads, Toes, Knees Shoulders Task) and (b) two EF tasks (Knox Cube and Beads Tasks) that measure different components of updating: working memory and short-term memory, respectively. We compared 107 8- to 13-year-old children (64 females) across demographically-diverse populations in four low and middle-income countries, including: Tanna, Vanuatu; Keningau, Malaysia; Saltpond, Ghana; and Natal, Brazil. The communities we studied vary in market integration/urbanicity as well as level of access, structure, and quality of schooling. We found that performance on the visuospatial working memory task (Knox Cube) and the visuospatial short-term memory task (Beads) are each independently associated with performance on the self-regulation task, even when controlling for schooling and location effects. These effects were robust across demographically-diverse populations of children in low-and middle-income countries. We conclude that this study found evidence supporting visuospatial working memory and visuospatial short-term memory as distinct cognitive processes which each support the development of self-regulation.
    Matched MeSH terms: Memory, Short-Term/physiology
  15. Dzulkarnain AAA, Azizi AK, Sulaiman NH
    J Taibah Univ Med Sci, 2020 Dec;15(6):495-501.
    PMID: 33318741 DOI: 10.1016/j.jtumed.2020.08.007
    Objective: This study aims to investigate the auditory sensory gating capacity in Huffaz using an auditory brainstem response (ABR) test with and without psychological tasks.

    Methods: Twenty-three participants were recruited for this study. The participants were comprised of 11 Huffaz who memorized 30 chapters of the Islamic Scripture (from the Quran) and 12 non-Huffaz as the control group. All participants had normal hearing perception and underwent an ABR test with and without psychological tasks. The ABR was elicited at 70 dB nHL using a 3000 Hz tone burst stimulus with a 2-0-2 cycle at a stimulus repetition rate of 40 Hz. The ABR wave V amplitude and latencies were measured and statistically compared. A forward digit span test was also conducted to determine participants' working memory capacity.

    Results: There were no significant differences in the ABR wave V amplitudes and latencies between Huffaz and non-Huffaz in ABR with and without psychological tasks. There were also no significant differences in the ABR wave V amplitudes and latencies in both groups of ABR with and without psychological tasks. In addition, no significant differences were identified in the digit span working memory score between both groups.

    Conclusions: In this study, based on the ABR findings, Huffaz showed the same auditory sensory gating capacity as the non-Huffaz group. The ABR result was consistent with the digit span working memory test score. This finding implies that both groups have similar working memory performance. However, the conclusion is limited to the specific assessment method that we used in this study.

    Matched MeSH terms: Memory, Short-Term
  16. 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
  17. El Haj M, Boutoleau-Bretonnière C, Janssen SMJ
    Psychol Res, 2021 Sep;85(6):2466-2473.
    PMID: 32862309 DOI: 10.1007/s00426-020-01403-3
    There is an increased interest in the study of eye movements during the retrieval of autobiographical memories. Following this trend, the aim of the current study was to evaluate eye movements during the retrieval of remote and recent autobiographical memories. We instructed 71 participants to retrieve memories of personal events from early childhood (6-10 years), late childhood/early adolescence (11-14 years), late adolescence (15-18 years), and the last month. During the retrieval of these memories, participants wore eye-tracking glasses. Analyses showed that early childhood memories triggered fewer fixations and fixations with longer durations than memories from the last month. However, no significant differences were observed for the number of saccades, saccade durations, or total amplitude of the saccades. The fewer and longer lasting fixations during the retrieval of early childhood memories can be attributed either to the visual system reconstructing remote memories from an observer perspective or to difficulties when reconstructing remote memories.
    Matched MeSH terms: Memory, Long-Term; Memory, Episodic*
  18. El Haj M, Janssen SMJ, Antoine P
    Brain Cogn, 2017 10;117:65-72.
    PMID: 28629646 DOI: 10.1016/j.bandc.2017.06.005
    Backward and forward telescoping are opposite timing biases. The former refers to misattributing events to earlier dates, whereas the latter refers to misattributing events to later dates. The present study investigated both biases in participants with Alzheimer's Disease (AD) and healthy older adults, matched on age, sex, and education level. Participants were asked to recall the years when five remote and five recent public events had occurred. They were also assessed with a cognitive and clinical battery that included a context memory task on which they had to associate letters and locations. Results showed backward telescoping for recent events and forward telescoping for remote events in AD participants and older adults. Furthermore, poorer context recall was observed in AD participants and older adults displaying backward telescoping than in those displaying forward telescoping. These findings suggest an association between the amount of contextual information recalled and the direction of the timing bias. Backward telescoping can be associated with deficiencies in retrieving context characteristics of events, which have been associated with retrograde amnesia and pathological changes to the hippocampus in AD.
    Matched MeSH terms: Memory/physiology*
  19. El Haj M, Janssen SMJ, Lenoble Q, Robin F, Gallouj K
    Neurol Sci, 2022 Jan;43(1):661-666.
    PMID: 33959825 DOI: 10.1007/s10072-021-05297-w
    BACKGROUND: Visual perspective during memory retrieval has mainly been evaluated with methodologies based on introspection and subjective reports. The current study investigates whether visual perspective can be evaluated with a physiological measurement: pupil dilation.

    METHODS: While their pupil diameter was measured with an eye-tracker, forty-five participants retrieved one memory from a field perspective (i.e., as viewed through our own eyes) and one memory from an observer perspective (i.e., as viewed from a spectator's standpoint). After retrieval, participants rated the emotional intensity of the memories.

    RESULTS: Analysis demonstrated larger pupils during the retrieval of memories from a field perspective and higher emotional intensity for memories retrieved from a field perspective.

    DISCUSSION: The larger pupils for memories recalled from a field perspective could, however, not be attributed to their higher emotional intensity. These findings suggest that pupil dilation could be used as a physiological assessment of visual perspective during memory retrieval.

    Matched MeSH terms: Memory, Episodic*
  20. 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
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