Memory Scale Research Articles

Efficacy of acetylcholinesterase inhibitors for cognitive impairment in multiple sclerosis: A systematic review and meta-analysis

Background & Objective: Multiple Sclerosis (MS) is a chronic demyelinating condition characterized by a myriad of neurologic deficits. The prevalence rate of Cognitive impairment (CI) ranges from 40 to 60 percent among community-dwelling individuals with MS. Cholinergic dysfunction is one of the different mechanisms proposed to cause CI, supporting the use of acetylcholinesterase inhibitors (AChEIs) in certain conditions. The study aims to determine the safety and efficacy of acetylcholinesterase inhibitors in multiple sclerosis patients with cognitive impairment through a review of randomized clinical trials. Methods: Using the updated PRISMA guidelines, we searched MEDLINE by PubMed, Cochrane Central Register for Controlled Trials (CENTRAL), ClinicalTrials. gov website, Google Scholar, and HERDIN Database for relevant studies until November 15, 2022. Results: A total of 73 records were identified and five studies were included in the analysis. Pooled evidence shows that AchEIs (donepezil 10 mg/day or rivastigmine 10 mg/day for 12 to 14 weeks) did not significantly improve Paced Auditory Serial Addition Test (PASAT) score for information processing and sustained attention and the Selective Reminding Test (SRT) score for verbal memory. Another study using the Weschler Memory Scale (WMS) also did not show significant improvement in their scores. However, a recent trial that used the Everyday memory questionnaire (EMQ), prospective and retrospective memory questionnaire (PRMQ), and the Digit span test (DST) showed significant difference between pre- and post-intervention mean scores in the donepezil group (p<0.001). The physical and mental health scores of the Multiple Sclerosis Quality of Life questionnaires (MSQOL) significantly improved in MS patients receiving donepezil. Both donepezil and rivastigmine were associated with non-serious adverse events. Conclusion: The use of AchEIs among MS patients does not significantly improve objective measures of cognition but has positive impact on subjective scales of cognition (EMQ and PRMQ). AchEIs were shown to improve patients’ quality of life. AchEIs are safe and well tolerated among MS patients.

Efficacy of Transcranial Direct Current Stimulation on the Dorsolateral Prefrontal Cortex in Reducing Craving, Depression, and Improving Working Memory in Patients with Cannabis Use Disorders: A Randomized, Double-blind, Sham-controlled

Background: The beneficial effect of transcranial direct current stimulation (tDCS) on substance use disorders, achieved by reducing craving, impulsivity, and risk-taking behavior, can be considered an effective therapeutic approach. Transcranial direct current stimulation can be considered an effective therapeutic approach for reducing cannabis craving, improving levels of depression, and enhancing working memory in cannabis users. Objectives: This study investigated the effectiveness of tDCS applied to the Dorsolateral prefrontal cortex (DLPFC) on craving, depression, and working memory in cannabis users. Methods: This was a randomized, sham-controlled, double-blind, parallel-group study. Fifty male participants who met the criteria for cannabis use disorder according to DSM-5 were randomly assigned to either the real tDCS group (25 participants) or the sham tDCS group (25 participants). Pretests, including marijuana urine tests, the Marijuana Craving Questionnaire-Short Form (MCQ-SF), the Hamilton Depression Rating Scale (HDRS), and the Wechsler Memory Scale, were conducted before the intervention. The real tDCS group underwent 20 sessions of tDCS stimulation, each lasting 20 minutes, with a current intensity of 2 milliamperes applied at the F3 and F4 positions for DLPFC stimulation. The sham tDCS group received only 30 seconds of initial electrical stimulation, with no further current delivered. Both groups also received standard psychological treatments alongside the tDCS interventions. After completing the interventions, the same tests were administered again to assess the outcomes. Results: Participants who received real tDCS showed significant improvement in levels of craving, depression, and working memory. This reduction in scores and levels was statistically significant compared to the sham group. Conclusions: Transcranial direct current stimulation can be considered an effective therapeutic approach for reducing cannabis craving, improving levels of depression, and enhancing working memory in cannabis users.

Efficient clustering of large molecular libraries.

The widespread use of Machine Learning (ML) techniques in chemical applications has come with the pressing need to analyze extremely large molecular libraries. In particular, clustering remains one of the most common tools to dissect the chemical space. Unfortunately, most current approaches present unfavorable time and memory scaling, which makes them unsuitable to handle million- and billion-sized sets. Here, we propose to bypass these problems with a time- and memory-efficient clustering algorithm, BitBIRCH. This method uses a tree structure similar to the one found in the Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) algorithm to ensure time scaling. BitBIRCH leverages the instant similarity (iSIM) formalism to process binary fingerprints, allowing the use of Tanimoto similarity, and reducing memory requirements. Our tests show that BitBIRCH is already > 1,000 times faster than standard implementations of the Taylor-Butina clustering for libraries with 1,500,000 molecules. BitBIRCH increases efficiency without compromising the quality of the resulting clusters. We explore strategies to handle large sets, which we applied in the clustering of one billion molecules under 5 hours using a parallel/iterative BitBIRCH approximation.

Decoding CMP Challenges: A Metrospection Insight

We live in a digitally connected world with Global data to exceed 180 ZB by 2025 per some estimates1. Memory is the fiber connecting our world. New applications drive continued demand growth for memory and storage applications. Micron is a leader in the memory and storage industry, helping the world use information to enrich lives. As memory devices scale and new memory technologies arise, the requirements for Chemical Mechanical Planarization (CMP) processes are becoming tighter and more stringent node over node. Furthermore, memory scaling continues to become more dependent upon CMP, with not only a steady increase in the number of CMP steps but that of unique CMP steps as well node over node. In this presentation we focus on CMP challenges from a METROSPECTION (Metrology & Inspection) lens. We explore the critical role of inspection and metrology techniques in optimizing CMP for semiconductor memory fabrication. The ability and need for the integration of cutting-edge inspection techniques and metrology strategies emerges as a pivotal element in enhancing CMP cycles of learning and hence the reliability, yield, and overall quality of semiconductor memory devices.1 - Statista

Volatile and Nonvolatile Programmable Iontronic Memristor with Lithium Imbued TiOx for Neuromorphic Computing Applications.

We demonstrate a lithium (Li) imbued TiOx iontronic device that exhibits synapse-like short-term plasticity behavior without requiring a forming process beforehand or a compliance current during switching. A solid-state electrolyte lithium phosphorus oxynitride (LiPON) behaves as the ion source, and the embedding and releasing of Li ions inside the cathodic like TiOx renders volatile conductance responses from the device and offers a natural platform for hardware simulating neuron functionalities. Besides, these devices possess high uniformity and great endurance as no conductive filaments are present. Different short-term pulse-based phenomena, including paired pulse facilitation, post-tetanic potentiation, and spike rate-dependent plasticity, were observed with self-relaxation characteristics. Based on the voltage excitation period, the time scale of the volatile memory can be tuned. Temperature measurement reveals the ion displacement-induced conductance channels become frozen below 220 K. In addition, the volatile analog devices can be configured into nonvolatile memory units with multibit storage capabilities after an electroforming process. Therefore, on the same platform, we can configure volatile units as nonlinear dynamic reservoirs for performing neuromorphic training and the nonvolatile units as the weight storage layer. We proceed to use voice recognition as an example with the tunable time constant relationship and obtain 94.4% accuracy with a minimal training data set. Thus, this iontronic platform can effectively process and update temporal information for reservoir and neuromorphic computing paradigms.

Association between adolescent alcohol use and cognitive function in young adulthood: A co-twin comparison study.

Studies on adolescent alcohol use and cognition are often unable to separate the potential causal effects of alcohol use on cognition from shared etiological influences, including genetic influences or other substance use comorbidities also known to be associated with cognition, such as nicotine use. The present study aimed to fill this gap and clarify the relationship between adolescent alcohol use and young adult cognition by accounting for both measured and unmeasured confounders. A random effects model accounting for nesting in families was used to control for measured confounders. Next, co-twin comparisons were conducted within the full sample and in monozygotic twin pairs (MZ) to control for unmeasured genetic and environmental confounders shared by co-twins. Participants were 812 individuals (58.6% female, 361 complete pairs, 146 MZ pairs) from the longitudinal FinnTwin12 study in Finland. Adolescent alcohol use was indexed with measures of frequency of use and intoxication averaged across ages 14 and 17. Cognitive outcomes were measured at average age 22 and included Trail Making Test, California Stroop test, Wechsler Adult Intelligence subtests (Vocabulary, Block Design, Digit Symbol), Digit Span subtest of Wechsler Memory Scale, Mental Rotation Test and Object Location Memory test. Covariates included sex, parental education, general cognitive ability, current alcohol use and nicotine use. Greater frequency of alcohol use and frequency of intoxication across adolescence was associated with decreased vocabulary scores in the co-twin control [freq: stnd beta = -0.12, 95% confidence interval (CI) = -0.234, -0.013] and MZ only co-twin control models (freq: stnd beta = -0.305, 95% CI = -0.523, -0.087; intox: stnd beta = -0.301, 95% CI = -0.528, -0.074). In Finland, there appears to be little evidence that adolescent alcohol use causes cognitive deficits in young adulthood, except modest evidence for association of higher adolescent alcohol use with lower young adult vocabulary scores.

Shunt-free cryogenic memory using ferromagnetic insulator-based Josephson junctions

Magnetic Josephson junctions are the preferred candidate devices for designing fast and scalable cryogenic memory elements. This is especially the case for rapid single-flux quantum-based superconducting electronics, where the speed mismatch between logic and memory elements have remained a long-standing challenge. In this Letter, we demonstrate a simple tri-layer Josephson memory device using ferromagnetic insulating (FI) GdN-based S/FI/S vertical mesa-type junctions, with reliable nonvolatile memory operation without the need of a shunt resistor at 4.2 K. The characteristic frequency of our devices is approximately 90 GHz, corresponding to an IcRn product of 177 μV. We demonstrate a thorough study of the parameter spaces required for designing these devices and identify the scope for future improvements that can lead to further miniaturization and higher operating speed of these devices.

Approaching scalable quantum memory with integrated atomic devices

Quantum memory, which maps photonic quantum information into a stationary medium and retrieves it at a chosen time, plays a vital role in the advancement of quantum information science. In particular, the scalability of a quantum memory is a central challenge for quantum network that can be overcome by using integrated devices. Quantum memory with an integrated device is highly appealing since it not only expands the number of memories to increase data rates, but also offers seamless compatibility with other on-chip devices and existing fiber network, enabling scalable and convenient applications. Over the past few decades, substantial efforts have been dedicated to achieving integrated quantum memory using rare earth ions doped solid-state materials, color centers, and atomic gases. These physical platforms are the primary candidates for such devices, where remarkable advantages have been demonstrated in achieving high-performance integrated quantum memory, paving the way for efficiently establishing robust and scalable quantum network with integrated quantum devices. In this paper, we aim to provide a comprehensive review of integrated quantum memory, encompassing its background and significance, advancement with bulky memory system, fabrication of integrated device, and its memory function considering various performance metrics. Additionally, we will address the challenges associated with integrated quantum memory and explore its potential applications. By analyzing the current state of the field, this review will make a valuable contribution by offering illustrative examples and providing helpful guidance for future achievements in practical integrated quantum memory.

Targeting the Manifestations of Subclinical and Overt Hypothyroidism Within the Hippocampus.

The past decade has witnessed a surge of articles describing the neurocognitive sequelae and associated structural and functional brain abnormalities of patients with overt hypothyroidism (OH) and subclinical hypothyroidism (SCH). Findings show effects primarily within the frontal lobes with usually worse outcomes for OH than SCH. Several recent studies have also indicated hypothyroid patients may have smaller hippocampi, a key structure for memory. The JCEM paper by Zhang and colleagues applies 2 novel approaches for analyzing hippocampal structure and function. One uses an automated processing tool that segments the hippocampus into distinct subregions, and the other performs connectivity analysis to assess the relationships between specific hippocampal subregions and cortical areas. Relatively large samples of OH and SCH patients and healthy controls received a test of global cognitive functioning and underwent structural and functional magnetic resonance imaging. Results showed hypothyroid groups scored significantly below controls on the memory scale and also had smaller hippocampal volumes in selective subregions. Effects were stronger for SCH than OH groups, who also showed different patterns of interconnectivity between hippocampal subregions and specific frontal lobe areas. To make sense of these findings, I explored the rodent and human literatures on thyroid hormone's role in hippocampal functioning and on hippocampal subfields and their purported functions and interconnections. Because current results suggest SCH may represent a distinct clinical entity with unique brain manifestations, I hypothesized 2 explanations for these findings, one involving transporter defects in the brain barriers and the other, differential neurodegeneration of the blood-brain barrier vascular unit.

Hybrid deep learning and optimized clustering mechanism for load balancing and fault tolerance in cloud computing

ABSTRACT Cloud services are one of the most quickly developing technologies. Furthermore, load balancing is recognized as a fundamental challenge for achieving energy efficiency. The primary function of load balancing is to deliver optimal services by releasing the load over multiple resources. Fault tolerance is being used to improve the reliability and accessibility of the network. In this paper, a hybrid Deep Learning-based load balancing algorithm is developed. Initially, tasks are allocated to all VMs in a round-robin method. Furthermore, the Deep Embedding Cluster (DEC) utilizes the Central Processing Unit (CPU), bandwidth, memory, processing elements, and frequency scaling factors while determining if a VM is overloaded or underloaded. The task performed on the overloaded VM is valued and the tasks accomplished on the overloaded VM are assigned to the underloaded VM for cloud load balancing. In addition, the Deep Q Recurrent Neural Network (DQRNN) is proposed to balance the load based on numerous factors such as supply, demand, capacity, load, resource utilization, and fault tolerance. Furthermore, the effectiveness of this model is assessed by load, capacity, resource consumption, and success rate, with ideal values of 0.147, 0.726, 0.527, and 0.895 are achieved.

INFLUENCE OF VARIOUS STYLES OF MANTRA CHANTING ON STUDENT’S COGNITIVE PERFORMANCE

Background: Mantra is a tool to enhance mood regulation, stress management skills, and concentration and awareness. Materials & Methods: There were 35 participants including men and women between the age of 20 to 45 years, in the present study. They were all instructed to recite the "Mahamrityunjaya mantra (MM)" for ten days as an orientation programme. Cognitive tools such the Six Letter Cancellation Test (SLCT), Wechsler Memory Scale (WMS), and Mindfulness Attention and Awareness Scale (MAAS) were used. These tools were used to evaluate all six sessions, including the baseline. On the first day of the program, all participants underwent a 10-day orientation, a seven-day washout period, and seven days of post-recording, which included loud chanting (LC), lips movement (LM), silent chanting (SC), audio listening (AL), and silent sitting (SS). As each session lasted 20 minutes, recordings were made for the post-assessment following the intervention for 20 minutes. Results: The Repeated measure ANOVA, Friedman test, and Wilcoxon signed ranked tests were done to analyse the data. The Mindfulness following mantra chanting was significantly higher during loud chanting (LC) (p<0.05) compared to the silent chanting (SC) and the baseline. Also, the scores of digits backward (DB) were significantly higher in LC (p<0.01), LM (p<0.05), SC (p<0.001), and AL (p<0.01), compared to baseline. Conclusion: Results of the current study suggested that mindfulness prevails following the practice of LC and short-term memory following SC suggestive of more information processing in the amygdala, hippocampus, and pre-central cortex.

Accurate and gate-efficient quantum Ansätze for electronic states without adaptive optimization

The ability of quantum computers to overcome the exponential memory scaling of many-body problems is expected to transform quantum chemistry. Quantum algorithms require accurate representations of electronic states on a quantum device, but current approximations struggle to combine chemical accuracy and gate efficiency while preserving physical symmetries, and rely on measurement-intensive adaptive methods that tailor the wave function to each molecule. In this contribution, we present a symmetry-preserving and gate-efficient that provides chemically accurate molecular energies with a well-defined circuit structure. Our approach exploits local qubit connectivity, orbital optimization, and connections with generalized valence bond theory to maximize the accuracy that is obtained with shallow quantum circuits. Numerical simulations for molecules with weak and strong electron correlation, including benzene, water, and the singlet-triplet gap in tetramethyleneethane, demonstrate that chemically accurate energies are achieved with as much as 84% fewer two-qubit gates compared to state-of-the-art adaptive techniques. Published by the American Physical Society 2024

Exploring CHAPS as a Potential Measurement for Auditory Processing and Cognitive Ability in Children with Hearing Loss.

The primary goal was to investigate the suitability of CHAPS for assessing cognitive abilities and auditory processing in people with hearing loss (HL), specifically in the domains of auditory processing, verbal working memory, and auditory attention. The study comprised 44 individuals between the ages of seven and 14, 22 with HL (N = 11 males) and 22 with normal hearing (N = 10 males). Individuals' auditory attention, working memory, and auditory processing skills were assessed in the study, and self-report questionnaires were used. The evaluation utilized the Sustained Auditory Attention Capacity Test (SAACT), Working Memory Scale (WMS), Filtered Words Test, Auditory Figured Ground Test (AFGT), and the Children's Auditory Performance Scale (CHAPS). Analyses were conducted, including group comparisons, correlation examinations, and receiver operating characteristic evaluations. There were significant differences in CHAPS total, attention, noise, quiet, and multiple inputs between groups. No significant differences were seen in CHAPS_ideal and CHAPS_auditory memory across groups. The study of SAACT and its subscores, WMS and its subscores, FWT, and AFGT revealed a significant difference between groups, caused by the poor performance of persons in the HL group compared to those in the NH group. The SAACT and its subscores correlated significantly with CHAPS_attention. The AUC calculation showed that The SAACT and CHAPS_attention distinguished persons with or without HL (p < 0.05). WMS_STM and WMS_total correlated with CHAPS auditory memory subscale; however, WMS_VWM did not. AUC values for WMS and its subscores showed significant discrimination in identifying children with or without HL (p < 0.05), whereas CHAPS_auditory memory did not (AUC = 0.665; p = 0.060). FWT and AFGT had a significant relationship with CHAPS_noise and CHAPS_multiple inputs subscales. The CHAPS_quiet and CHAPS_ideal subtests only correlated with AFGT. CHAPS_quite and CHAPS_ideal did not exhibit significant discriminative values (p < 0.05) for identifying children with or without HL, while CHAPS_noise, CHAPS_multiple inputs, FWT, and AFGT did. The CHAPS_attention subscale could be a trustworthy instrument for assessing auditory attention in children with HL. However, the CHAPS_auditory memory subscale may not be suitable for testing working memory. While performance-based auditory processing tests showed improved discrimination, the CHAPS_noise and CHAPS_multiple inputs subtests can still assess hearing-impaired auditory processing. The CHAPS_quiet and CHAPS_ideal subtests may not evaluate auditory processing.

Solving high-dimensional Fokker-Planck equation with functional hierarchical tensor

This work is concerned with solving high-dimensional Fokker-Planck equations with the novel perspective that solving the PDE can be reduced to independent instances of density estimation tasks based on the trajectories sampled from its associated particle dynamics. With this approach, one sidesteps error accumulation occurring from integrating the PDE dynamics on a parameterized function class. This approach significantly simplifies deployment, as one is free of the challenges of implementing loss terms based on the differential equation. In particular, we introduce a novel class of high-dimensional functions called the functional hierarchical tensor (FHT). The FHT ansatz leverages a hierarchical low-rank structure, offering the advantage of linearly scalable runtime and memory complexity relative to the dimension count. We introduce a sketching-based technique that performs density estimation over particles simulated from the particle dynamics associated with the equation, thereby obtaining a representation of the Fokker-Planck solution in terms of our ansatz. We apply the proposed approach successfully to three challenging time-dependent Ginzburg-Landau models with hundreds of variables.

Lipidomic Analysis Reveals Systemic Alterations in Servicemen Exposed to Repeated Occupational Low-Level Blast Waves.

Occupational exposure to blast is a prevalent risk experienced by military personnel. While low-level exposure may not manifest immediate signs of illness, prolonged and repetitive exposure may result in neurophysiological dysfunction. Such repeated exposure to occupational blasts has been linked to structural and functional modifications in the brain, adversely affecting the performance of servicemen in the field. These neurological changes can give rise to symptoms resembling concussion and contribute to the development of post-traumatic stress disorder. To understand long-term effects of blast exposure, the study was conducted to assess memory function, serum circulatory protein and lipid biomarkers, and associated concussive symptomology in servicemen. Concussion-like symptoms were assessed using the Rivermead Post-Concussion Symptoms Questionnaire (RPSQ) along with memory function using PGI memory scale. The serum protein biomarkers were quantified using a sandwich ELISA assay, and the serum lipid profile was measured using liquid chromatography-mass spectrometer. The findings revealed that repeated low-level blast exposure resulted in impaired memory function, accompanied by elevated levels of serum neurofilament light chain (neuroaxonal injury) and C-reactive protein. Furthermore, alterations in the lipid profile were observed, with an increase in lipid species associated with immune activation. These changes collectively point to systemic inflammation, neuronal injury, and memory dysfunction as pathological characteristics of repeated low-level blast exposure. The results of our preliminary investigation offer valuable insights for further large-scale study and provide a guiding principle that necessitates a suitable mitigation approach to safeguard the health of personnel against blast overpressure.

Immersive virtual reality for prospective memory and eye fixation recovery following traumatic brain injury: A pilot study

Rehabilitation is crucial for the recoveriy from traumatic brain injuries (TBI); yet, only 77 – 88% of TBI patients are receipients of rehabilitation. Particularly, individuals lacking insurance coverage or facing transportation hurdles, notably within the Hispanic community, are less likely to undergo rehabilitation. Virtual reality (VR), known for its mobility and affordability, is recommended as a rehabilitation alternative. This community-based participatory research project aimed to evaluate the acceptability, feasibility, and potential of VR scenarios in addressing common rehabilitative needs. Focus groups involving TBI patients (N = 12) were conducted to identify rehabilitative needs and design VR scenarios. Two novel scenarios were created to enhance prospective memory and eye tracking. The impact of the prospective memory VR scenario was assessed among individuals with brain injuries 1 year post-TBI (N = 11), who were divided into intervention and delayed-intervention groups. In addition, six participants underwent the eye-tracking VR scenario to evaluate its effectiveness. Data from memory tests and screen recordings were gathered. In the objective memory test, participants in the VR intervention group (66%) exhibited greater improvement than those in the memory card delayed intervention group (0%) after 12 sessions. However, there was no statistically significant difference in mean scores on a Prospective and Retrospective Memory Questionnaire memory scale between the intervention and delayed-intervention groups after 6 weeks. Nonetheless, all participants demonstrated enhanced eye tracking skills after completing the eye tracking VR scenario between the 6th and 12th sessions. In conclusion, the VR scenarios exhibited promise, acceptability, and feasibility in improving prospective memory and eye tracking for individuals with TBI 1 year post-injury.

Microwave quantum memcapacitor effect

Developing the field of neuromorphic quantum computing necessitates designing scalable quantum memory devices. Here, we propose a superconducting quantum memory device in the microwave regime, termed a microwave quantum memcapacitor. It comprises two linked resonators, the primary one is coupled to a Superconducting Quantum Interference Device, which allows for the modulation of the resonator properties through external magnetic flux. The auxiliary resonator, operated through weak measurements, provides feedback to the primary resonator, ensuring stable memory behavior. This device operates with a classical input in one cavity while reading the response in the other, serving as a fundamental building block toward arrays of microwave quantum memcapacitors. We observe that a bipartite setup can retain its memory behavior and gains entanglement and quantum correlations. Our findings pave the way for the experimental implementation of memcapacitive superconducting quantum devices and memory device arrays for neuromorphic quantum computing.

A scalable ferroelectric non-volatile memory operating at 600 °C

A scalable ferroelectric non-volatile memory operating at 600 °C

The effect of birth memory, recall level, and related factors on breastfeeding attitude of mothers in the postpartum period: a prospective study

This study was conducted to examine the effect of birth memory, recall level, and related factors on postpartum mothers’ breastfeeding attitudes. This is a correlational prospective study. The study was conducted in the postpartum clinic of a city hospital in a province located in the Central Anatolia Region of Turkey. The study included a total of 248 mothers in the early postpartum period. Data were obtained via a Personal Information Form, a Labor Monitoring Form, the Birth Memories and Recall Questionnaire (BirthMARQ), the Birth Satisfaction Scale (BSS), and the Iowa Infant Feeding Attitude Scale (IOWA). A positive correlation was found between mothers’ level of birth memory and recall and breastfeeding attitude on postpartum day 1, month 1, and month 3. In the regression analysis, emotional memory and coherence and reliving, which are the sub-dimensions of the birth memory and recall scale affecting breastfeeding attitude, were found to be significant associated risk factors for the 1st postpartum day, consistency and reliving for the 1st month, and birth memory and recall for the 3rd month. No relationship was found between mothers’ breastfeeding attitude and birth satisfaction on postpartum day 1, month 1, and month 3. Positive birth memory and recall positively affected mothers’ breastfeeding attitude. No relationship was found between mothers’ labor satisfaction and breastfeeding attitude. Supporting women for the formation of positive birth memory and recall for the labor process may positively improve breastfeeding attitudes of mothers in the postpartum period.

Time and memory distrust shape the dynamics of recollection and belief-in-occurrence

ABSTRACT The current study examined how people’s metamemory judgments of recollection and belief-in-occurrence change over time. Furthermore, we examined to what extent these judgments are affected by memory distrust – the subjective appraisal of one’s memory functioning – as measured by the Memory Distrust Scale (MDS) and the Squire Subjective Memory Scale (SSMQ). Participants (N = 234) studied pictorial stimuli and were tested on some of these stimuli later in the same session, but were tested on other stimuli 1, 2, 4, 8, and 17 days later. Recollection and belief ratings were correlated highly and followed similar declining patterns over time. However, belief decreased relatively more slowly than recollection, such that the discrepancy between recollection and belief increased over time. Memory distrust moderated the association between recollection and belief, with this association being weaker among people who reported greater (versus lower) memory distrust. Memory distrust also interacted with retention period to predict memory judgments. Two measures of memory distrust diverged in their predictive power. In particular, only the MDS predicted the spontaneous reporting of nonbelieved memories. Our results provide support to the theoretical perspective that belief-in-occurrence is a summative judgment informed not only by recollective phenomenology but also by metamemorial beliefs.