Memory Speed Research Articles

High-through counting of Chinese cabbage trichomes based on deep learning and trinocular stereo microscope

The trichome trait is one of the important phenotypes for variety classification and breeding improvement of Chinese cabbage (Brassica campestris L. syn. B. rapa). However, obtaining the number of trichomes per unit area on leaves is a time-consuming and laborious detection work, especially when hundreds of germplasm resources need to be evaluated. Therefore, this study constructed the first diverse Chinese cabbage trichome dataset called CCTD with10,955 RGB images and proposed a deep learning model for trichome detection called TRI-YOLOv8. By adding the RepVGG module in the Backbone, adding a new detection layer in the Neck and replacing the loss function with Normalized Gaussian Wasserstein Distance Loss, the detection performance of the model for small trichomes was effectively improved. At the same time, Ghost convolution was used to reduce memory consumption and speed up inference. The experimental results showed that TRI-YOLOv8 outperformed other classical detection models. AP50 was as high as 94.4%, which was 3.8% higher than YOLOv8n. Furthermore, the number of trichomes per unit area was obtained by TRI-YOLOv8 and combined with genome-wide association study and selective sweep analysis, the candidate gene BraA03g029740.3.5C (STP7) was screened out. Overall, this study achieved the accurate detection and counting of trichomes, and provided a feasible plan for breeders to digitally analyze phenotypes, automatically identify and screen Chinese cabbage germplasm resources.

Dynamic Adaptation Attack Detection Model for a Distributed Multi-Access Edge Computing Smart City.

The internet of things (IoT) technology presents an intelligent way to improve our lives and contributes to many fields such as industry, communications, agriculture, etc. Unfortunately, IoT networks are exposed to many attacks that may destroy the entire network and consume network resources. This paper aims to propose intelligent process automation and an auto-configured intelligent automation detection model (IADM) to detect and prevent malicious network traffic and behaviors/events at distributed multi-access edge computing in an IoT-based smart city. The proposed model consists of two phases. The first phase relies on the intelligent process automation (IPA) technique and contains five modules named, specifically, dataset collection and pre-processing module, intelligent automation detection module, analysis module, detection rules and action module, and database module. In the first phase, each module composes an intelligent connecting module to give feedback reports about each module and send information to the next modules. Therefore, any change in each process can be easily detected and labeled as an intrusion. The intelligent connection module (ICM) may reduce the search time, increase the speed, and increase the security level. The second phase is the dynamic adaptation of the attack detection model based on reinforcement one-shot learning. The first phase is based on a multi-classification technique using Random Forest Trees (RFT), k-Nearest Neighbor (K-NN), J48, AdaBoost, and Bagging. The second phase can learn the new changed behaviors based on reinforced learning to detect zero-day attacks and malicious events in IoT-based smart cities. The experiments are implemented using a UNSW-NB 15 dataset. The proposed model achieves high accuracy rates using RFT, K-NN, and AdaBoost of approximately 98.8%. It is noted that the accuracy rate of the J48 classifier achieves 85.51%, which is lower than the others. Subsequently, the accuracy rates of AdaBoost and Bagging based on J48 are 98.9% and 91.41%, respectively. Additionally, the error rates of RFT, K-NN, and AdaBoost are very low. Similarly, the proposed model achieves high precision, recall, and F1-measure high rates using RFT, K-NN, AdaBoost, and Bagging. The second phase depends on creating an auto-adaptive model through the dynamic adaptation of the attack detection model based on reinforcement one-shot learning using a small number of instances to conserve the memory of any smart device in an IoT network. The proposed auto-adaptive model may reduce false rates of reporting by the intrusion detection system (IDS). It can detect any change in the behaviors of smart devices quickly and easily. The IADM can improve the performance rates for IDS by maintaining the memory consumption, time consumption, and speed of the detection process.

Cognitive Contributors of Backward Walking in Persons with Multiple Sclerosis.

Individuals with multiple sclerosis (MS) are at an increased fall risk due to motor and cognitive dysfunction. Our past studies suggest that backward walking (BW) velocity predicts fall risk; however, specific cognitive domains associated with BW velocity remain understudied. The goal of this study was to determine the specific contributions of cognitive functioning to BW velocity in persons with MS. We hypothesized that better visuospatial memory, verbal immediate recall, and faster information processing speed would contribute to faster BW velocity, and deficits in these domains would partially account for disease severity-related impairment in BW velocity. Participants completed demographic questionnaires, walking tests, and cognitive assessments. Applied structural equation modeling was used to test our hypothesized model of competing cognitive mediators. Within the model, disease severity was a predictor of BW via three intercorrelated cognitive mediators. Participants included 39 individuals with relapsing-remitting MS. Results indicated that 35.3% of the significant total effect of disease severity on BW was accounted for by specific cognitive deficits. Verbal immediate recall had the largest contribution, followed by visuospatial memory and information processing speed. When examining the unique effects of cognitive domains on disease severity-related deficits in BW, a meaningful source of impairment related to visuospatial memory and verbal immediate recall was demonstrated. Considering the utility of BW velocity as a predictor of falls, these results highlight the importance of assessing cognition when evaluating fall risk in MS. Cognitive-based intervention studies investigating fall prevention may find BW as a more specific and sensitive predictor of fall risk than forward walking.

Neurocognition and mean radiotherapy dose to vulnerable brain structures: new organs at risk?

BackgroundChildren with brain tumors are at high risk of neurocognitive decline after radiotherapy (RT). However, there is a lack of studies on how RT doses to organs at risk (OARs) impacts neurocognition. The aim of this study was to examine dose-risk relationships for mean RT dose to different brain structures important for neurocognitive networks. We explored previously established OARs and potentially new OARs.MethodsA sample of 44 pediatric brain tumor survivors who had received proton and/or photon RT were included. Correlations between mean RT doses to OARs and IQ were analyzed. Previously established OARs were cochleae, optic chiasm, optic nerve, pituitary gland, hypothalamus, hippocampus and pons. Potential new OARs for RT-induced neurocognitive decline were cerebellum, vermis and thalamus.ResultsMean RT dose to different OARs correlated with several IQ subtests. Higher mean RT dose to cochleae, optic nerve, cerebellum, vermis and pons was correlated with lower performance on particularly full-scale IQ (FIQ), Perceptual Reasoning (PRI), Working Memory (WMI) and Processing Speed Index (PSI). Higher mean RT dose to hippocampus correlated with lower performance on processing speed and working memory. For those receiving whole brain RT (WBRT), higher mean RT dose to the pituitary gland correlated with lower performance on working memory.ConclusionA high dose-risk correlation was found between IQ subtests and mean RT dose in established and potential new OARs. Thus, in the lack of validated dose constraints for vulnerable brain structures, a parsimonious approach in RT planning should be considered to preserve neurocognitive networks.

Sex differences in cognition and structural covariance-based morphometric connectivity: evidence from 28,000+ UK Biobank participants.

There is robust evidence for sex differences in domain-specific cognition, where females typically show an advantage for verbal memory, whereas males tend to perform better in spatial memory. Sex differences in brain connectivity are well documented and may provide insight into these differences. In this study, we examined sex differences in cognition and structural covariance, as an index of morphometric connectivity, of a large healthy sample (n = 28,821) from the UK Biobank. Using T1-weighted magnetic resonance imaging scans and regional cortical thickness values, we applied jackknife bias estimation and graph theory to obtain subject-specific measures of structural covariance, hypothesizing that sex-related differences in brain network global efficiency, or overall covariance, would underlie cognitive differences. As predicted, females demonstrated better verbal memory and males showed a spatial memory advantage. Females also demonstrated faster processing speed, with no observed sex difference in executive functioning. Males showed higher global efficiency, as well as higher regional covariance (nodal strengths) in both hemispheres relative to females. Furthermore, higher global efficiency in males mediated sex differences in verbal memory and processing speed. Findings contribute to an improved understanding of how biological sex and differences in cognition are related to morphometric connectivity as derived from graph-theoretic methods.

Brain MRI disease burden and sex differences in cognitive performance of patients with multiple sclerosis.

Although there is evidence that shows worse cognitive functioning in male patients with multiple sclerosis (MS), the role of brain pathology in this context is under-investigated. To investigate sex differences in cognitive performance of MS patients, in the context of brain pathology and disease burden. Brain MRI, neurological examination, neuropsychological assessment (Brief International Cognitive Assessment in MS-BICAMS, and Paced Auditory Verbal Learning Test-PASAT), and patient-reported outcome questionnaires were performed/administered in 1052 MS patients. Females had higher raw scores in the Symbol Digit Modalities Test (SDMT) (57.0 vs. 54.0; p < 0.001) and Categorical Verbal Learning Test (CVLT) (63.0 vs. 57.0; p < 0.001), but paradoxically, females evaluated their cognitive performance by MS Neuropsychological Questionnaire as being worse (16.6 vs 14.5, p = 0.004). Females had a trend for a weaker negative correlation between T2 lesion volume and SDMT ([Formula: see text] = -0.37 in females vs. -0.46 in men; interaction p = 0.038). On the other hand, women had a trend for a stronger correlation between Brain Parenchymal Fraction (BPF) and a visual memory test (Spearman's [Formula: see text] = 0.31 vs. 0.21; interaction p = 0.016). All these trends were not significant after correction for false discovery rate. Although, females consider their cognition as worse, males had at a group level slightly worse verbal memory and information processing speed. However, the sex differences in cognitive performance were smaller than the variability of scores within the same sex group. Brain MRI measures did not explain the sex differences in cognitive performance among MS patients.

Insulating Electrets Converted from Organic Semiconductor for High‐Performance Transistors, Memories, and Artificial Synapses

AbstractElectrets are commonly used charged insulators that generate a quasi‐permanent electric field. However, when conventional electrets come into direct contact with semiconductors, the energy level mismatch at the interface results in low memory speed and high energy consumption of electret devices due to both charge injection and storage being non‐conducive. To address this, the n‐type semiconductor N,N′‐dioctyl‐3,4,9,10‐perylene tetracarboxylic diimide (C8‐PTCDI) is converted to C8‐PTCDI (D) via oxygen degradation. The resulting C8‐PTCDI (D) electrets, when charged using an electric field and/or light, retain the energy level of the n‐type semiconductors to facilitate charge trapping. They also exhibit deeper trap energy levels and increased trap density, thereby enhancing the sheet charge density of C8‐PTCDI (D) electrets (7.47 × 1012 cm−2). As a result, devices based on n‐type electrets demonstrate lower operation voltage (2 V) of transistors, lower operation voltage (20 V) of memories, and lower energy consumption (3.5 fJ per spike) of artificial synapses compared to those without n‐type electrets.

In the prime of life: ERP evidence for syntactic comprehension priming in older adults

Background: Recent studies suggest older adults’ implicit learning of syntactic patterns remains largely intact. Syntactic priming has proven to be a sensitive tool to examine this implicit sensitivity. However, most priming studies with older adults have focused on production, and none have included an electrophysiological component. This study explores the neural correlates of syntactic priming in older adults’ comprehension. Method: We used a self-paced reading and event-related potential paradigm with groups of older and younger adults. Reduced Relative targets were primed, unprimed, or lexically boosted, while reading times and EEG recordings were obtained. Pre-tests of Working Memory and Processing Speed were also recorded. Results: Older adults showed intact priming and lexical boost on reading times, while lexical facilitation was dependent on syntactic overlap in the older but not the younger group. Syntactic priming was evident on N400 and P600 modulations on verbs and nouns in Reduced Relatives, and generally did not differ by age group. This suggests older and younger adults are equally susceptible to syntactic facilitation, and makes the case for more non-declarative, electrophysiological measurements of older adults’ sentence processing ability in future studies.

Clinical Neuropsychological Profile and Quality of Life in Women Who Have Suffered Gender-Based Violence.

This research characterizes the clinical and neuropsychological profiles and the quality of life in a group of Ecuadorian women who suffered physical violence, psychological violence, or sexual violence, exploring their relationships with sociodemographic factors. A battery of tests were used to explore the clinical and neuropsychological functions and quality of life in 120 participants who were selected from a population affected by violence. Sixty percent of the participants showed clinical anxiety, 26.7% clinical depression, 40% post-traumatic stress disorder symptoms, 15% moderate personality disorder, and 51.7% a low quality-of-life index. Their Z-scores in the neuropsychological domains evaluated were verbal memory (Rey Auditory Verbal Learning Test = -1.35), working memory (Digits = -1.67), attention (D2 = -1.24), processing speed (Coding = -1.33; Trail Making Test A = 1.81), and executive function (Trail Making Test B = -1.15; Stroop = -0.20; verbal-semantic fluency test = 0.05; verbal fluency test = -1.23). The majority of women who suffered gender-based violence presented clinical levels of anxiety, depression, and post-traumatic symptoms. The cognitive functions with lower scores (Z < -1.5) were working memory and processing speed, mediated by education factor.

Reproductive period duration and cognitive function in postmenopausal Latina women in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

A shorter reproductive period, a marker of estrogen exposure, has been related to cognitive impairment among older (>65years) non-Hispanic White women. We explored whether reproductive period duration, age at menarche, and age at menopause are related to cognitive function among postmenopausal Hispanic/Latina women. This cross-sectional analysis used baseline (Visit 1: 2008-2011) data from 3630 postmenopausal women in the Hispanic Community Health Study/Study of Latinos. Reproductive period duration, age at menarche, and age at menopause were assessed by self-report. Cognitive function variables included global cognition, verbal learning, memory, verbal fluency, and processing speed. Associations between each reproductive event and cognitive function were examined using multivariable linear and logistic regression analyses accounting for the complex survey design of the study and adjusting for socio-demographics, parity, and cardiovascular risk factors. We assessed whether associations differed by type of menopause (natural versus surgical) and hormone therapy use. The study population was on average aged 59years, with a mean reproductive period duration of 35years. Older age at menopause and a longer reproductive period were related to higher verbal learning (β=0.04, SE=0.02; p<0.05) and processing speed (ß=0.16, SE=0.04; p<0.001); associations were more pronounced for women with natural menopause. Older age at menarche was associated with lower scores on the digit symbol substitution test (ß=-0.62, SE=0.15; p<0.0001). There were no associations with global cognition. Among postmenopausal Hispanic/Latinas, a longer reproductive period was related to more favorable cognitive measures of verbal learning and processing speed. Our findings support the hypothesis that greater lifetime exposure to estrogens may be associated with higher cognitive performance.

Cognitive abilities are associated with specific conjunctions of structural and functional neural subnetworks

Cognitive neuroscience assumes that different mental abilities correspond to at least partly separable brain subnetworks and strives to understand their relationships. However, single-task approaches typically revealed multiple brain subnetworks to be involved in performance. Here, we chose a bottom-up approach of investigating the association between structural and functional brain subnetworks, on the one hand, and domain-specific cognitive abilities, on the other. Structural network was identified using machine-learning graph neural network by clustering anatomical brain properties measured in 838 individuals enroled in the WU-Minn Young Adult Human Connectome Project. Functional network was adapted from seven Resting State Networks (7-RSN). We then analyzed the results of 15 cognitive tasks and estimated five latent abilities: fluid reasoning (Gf), crystallized intelligence (Gc), memory (Mem), executive functions (EF), and processing speed (Gs). In a final step we determined linear associations between these independently identified ability and brain entities. We found no one-to-one mapping between latent abilities and brain subnetworks. Analyses revealed that abilities are associated with properties of particular combinations of brain subnetworks. While some abilities are more strongly associated to within-subnetwork connections, others are related with connections between multiple subnetworks. Importantly, domain-specific abilities commonly rely on node(s) as hub(s) to connect with other subnetworks. To test the robustness of our findings, we ran the analyses through several defensible analytical decisions. Together, the present findings allow a novel perspective on the distinct nature of domain-specific cognitive abilities building upon unique combinations of associated brain subnetworks.

Longitudinal cohort study investigating neurodevelopmental and socioemotional outcomes in school-entry aged children after open heart surgery in Australia and New Zealand: the NITRIC follow-up study protocol

IntroductionDespite growing awareness of neurodevelopmental impairments in children with congenital heart disease (CHD), there is a lack of large, longitudinal, population-based cohorts. Little is known about the contemporary neurodevelopmental profile...

THE RELATIONSHIP OF TIME PERCEPTION WITH WORKING MEMORY IN PATIENTS WITH MULTIPLE SCLEROSIS

Objectives. Multiple Sclerosis (MS) is a chronic disease characterized by neuroinflammation of the central nervous system leading to progressive demyelination, loss of axons, and neurodegeneration. Meta-analyses have shown a cognitive impairment with a moderate effect size between healthy volunteers and MS patients, most apparently in working memory (WM), attention, and processing speed. It has recently been found that the perception of time has also been impaired in MS patients. This study aims to examine the relationship between WM and time perception in individuals with MS. Methods. Letter Number Sequencing Test (LNST), Time Interval Estimation Test, and Time Interval Production Test (TIPT) were administered to 50 MS patients. Individuals were allocated into low and high WM groups according to the median value of the LNST total score to compare time perception performance. Results. The mean age of the sample was 39.2. In the sample consisting of 14 male and 36 female participants, the mean number of educated years was 10.7 years, the age of disease onset was 31.9 years, and the duration of the disease was 7.2 years. A correlation was found between TIPT Ratio for 4 seconds and WM as well as disease severity. 29 people were in the low WM group and 21 people were in the high WM group. Age, age of disease onset, and the number of educated years were found to be higher in the high WM group. The TIPT Ratio for 4 seconds was lower in the high WM group. Conclusion. Consistent with the literature, a relationship was found between WM and time perception in individuals with MS in the 4 seconds, in which WM is considered to have a crucial role. The production of a 4- second interval was considered to be used as a marker reflecting both disease severity and WM capacity.

To the issue of decomposition of mathematical models of disturbed motion of complex discrete-continuous dynamic systems

Problem. Usually, complex dynamic systems are characterized by a high order of equations in their mathematical models and intricate interconnections among subsystems that constitute the complex dynamic system. Naturally, the analysis and synthesis of complex dynamic systems require the use of powerful computational systems with vast memory and high processing speed. Goal. The aim is quantitative assessment of the influence of the continuum part of a dynamic system on the behavior of its discrete part and the possibility to perform decomposition of the mathematical model of perturbed motion of a discrete-continuum system based on this assessment. Methodology. The measures are aimed at addressing issues that are based on the discrete-continuum capabilities and their decomposition. Results. For three types of complex dynamic systems described by infinite-dimensional systems of ordinary differential equations, quantitative assessments of the influence of the continuum part on the discrete part of the system have been proposed. These assessments determine the decomposition of the mathematical models of perturbed motion for such systems. Originality. Simplified mathematical models for three types of discrete-continuous dynamic systems were obtained. Practical value. The obtained results can be recommended for the study of the specialized course on the motion characteristics of cargo trucks during the transportation of liquids in tanks. Through optimization using the MATLAB software package, it is possible to simulate various parameters of both the cargo truck and the cargo being transported.

Cognitive Status In Thalassemia

Background: Thalassemia is one of the most common chronic and genetic hematological disorder. This chronic disease challenges the individual at the physical, emotional, cognitive level and disrupts the quality of life because of persistent anemia and hypoxia. The aim of study is to assess the cognitive status in thalassemia.&#x0D; Material and methods: This is a cross-sectional observational type of study that was performed in Autism and Child Development Center of Chattagram Maa Shishu–O–General Hospital. Children aged 6 to 16 years with thalassemia of different catagories were enrolled as study subjects. Study period was six months. Cognitive status of this study subject was assessed by WICS-IV equipment.&#x0D; Results: Among the 50 study subjects, Hb E b thalassemia was the most common type of thalassemia 39(78%). 2(4%) patient took oral chelating agent, 18 (36%) were under injectable, 20(40%) were found taking both oral and injectable and 10(20%) were observed not under any iron chelation therapy. Regular iron chelation therapy was found in 22(44%) cases.10(20%) cases had normal intelligence,19(38%) cases had mild mental retardation and 21 (42%) had moderate mental retardation. Among the 10 patients who do not use any chelation therapy,8(80%) patients had moderate retardation and 2(20%) had mild mental retardation. On the other hand, among the 40 patients who were having iron chelation therapy, 10(25%) patients showed normal level of intelligence, 17(42.5%) had mild mental retardation and 13(32.5%) had moderate mental retardation. In different score of WISC-IV, it was found that working memory and processing speed were poorer than verbal comprehension and perceptual reasoning in different type of thalassemia. This study also showed poor cognition is more prominent in thalassemia major and Hb E beta thalassemia.&#x0D; Conclusion: Cognitive status of the study subjects who take regular iron chelation therapy is much better than those who do not take iron chelation therapy. Hence, iron chelation therapy is proved to have better cognitive outcome for thalassemia patients with iron overload.&#x0D; Chatt Maa Shi Hosp Med Coll J; Vol.22 (1); January 2023; Page 57-61

Study comparing the effect of topiramate and pregabalin on learning and memory with phenytoin in albino rats using morris water maze and elevated plus maze

Epilepsy is a chronic neurological disorder characterized by repeated seizures. Neurocognitive impairment is one of the adverse drug reactions (ADRs) in the case of antiepileptic drugs (AEDs). Phenytoin (PHT), an effective older generation AED, shows decline in cognitive functions such as memory, concentration and motor speed in both healthy volunteers and epileptic patients. Topiramate, has cognitive complaints among the adverse effects reported and include impaired concentration and memory, slowing of thought process, and difficulties in word finding. Another antiepileptic Pregabalin shows that it’s negative effects on cognitive functions are mild. Hence, a comparative assessment of the above group of drugs along with a control group was done using morris water maze and elevated plus maze. Effects on learning and memory was assessed using parameters such as escape latency and transfer latency. Albino rats were taken (24 in number) and assigned into 4 groups with three drug groups and one control group. They were given the respective drugs for a period of 15 days and then checked for escape latency and transfer latency times to assess the effect on “learning”. Thereafter the rats received the drugs for another 5 days after which they were assessed for “memory”. It was seen that phenytoin and topiramate do affect learning in comparison to pregabalin but the result about affecting memory was not conclusive.

Functional alterations in bipartite network of white and grey matters during aging

The effects of normal aging on functional connectivity (FC) within various brain networks of gray matter (GM) have been well-documented. However, the age effects on the networks of FC between white matter (WM) and GM, namely WM-GM FC, remains unclear. Evaluating crucial properties, such as global efficiency (GE), for a WM-GM FC network poses a challenge due to the absence of closed triangle paths which are essential for assessing network properties in traditional graph models. In this study, we propose a bipartite graph model to characterize the WM-GM FC network and quantify these challenging network properties. Leveraging this model, we assessed the WM-GM FC network properties at multiple scales across 1,462 cognitively normal subjects aged 22–96 years from three repositories (ADNI, BLSA and OASIS-3) and investigated the age effects on these properties throughout adulthood and during late adulthood (age ≥70 years). Our findings reveal that (1) heterogeneous alterations occurred in region-specific WM-GM FC over the adulthood and decline predominated during late adulthood; (2) the FC density of WM bundles engaged in memory, executive function and processing speed declined with age over adulthood, particularly in later years; and (3) the GE of attention, default, somatomotor, frontoparietal and limbic networks reduced with age over adulthood, and GE of visual network declined during late adulthood. These findings provide unpresented insights into multi-scale alterations in networks of WM-GM functional synchronizations during normal aging. Furthermore, our bipartite graph model offers an extendable framework for quantifying WM-engaged networks, which may contribute to a wide range of neuroscience research.

Epigenetic associations with adolescent grey matter maturation and cognitive development.

Introduction: Adolescence, a critical phase of human neurodevelopment, is marked by a tremendous reorganization of the brain and accompanied by improved cognitive performance. This development is driven in part by gene expression, which in turn is partly regulated by DNA methylation (DNAm). Methods: We collected brain imaging, cognitive assessments, and DNAm in a longitudinal cohort of approximately 200 typically developing participants, aged 9-14. This data, from three time points roughly 1year apart, was used to explore the relationships between seven cytosine-phosphate-guanine (CpG) sites in genes highly expressed in brain tissues (GRIN2D, GABRB3, KCNC1, SLC12A9, CHD5, STXBP5, and NFASC), seven networks of grey matter (GM) volume change, and scores from seven cognitive tests. Results: The demethylation of the CpGs as well as the rates of change in DNAm were significantly related to improvements in total, crystalized, and fluid cognition scores, executive function, episodic memory, and processing speed, as well as several networks of GM volume increases and decreases that highlight typical patterns of brain maturation. Discussion: Our study provides a first look at the DNAm of genes involved in myelination, excitatory and inhibitory receptors, and connectivity, how they are related to the large-scale changes occurring in the brain structure as well as cognition during adolescence.

Effect of resveratrol on cognitive functions in older adults: a systematic review and meta-analysis

resveratrol has multiple beneficial effects on different body systems, including the central nervous system, however, the results reported on the effect on cognitive functions in older adults are inconsistent. Therefore, the purpose of this systematic review is to present a synthesis of knowledge about the effect of resveratrol on cognitive functions in older adults. a systematic review was carried out according to the PRISMA-2009 criteria. The search for articles was carried out until September 7, 2021 in PubMed, Scopus, Web of Science, PsycINFO, SciELO, and TESIUNAM. The outcome variables were delayed, immediate, and working memory, and processing speed. The standardized mean difference (SMD) was estimated to assess the effect. one thousand sixty-five studies were found, of which six met the eligibility criteria for the systematic review and meta-analysis. No significant effect was found on delayed memory (SMD = 0.69, 95 % CI: 0.85-2.23, p = 0.38), immediate memory (SMD = 0.56, 95 % CI: -0.20-1.31, p = 0.15), working memory (SMD = -0.21, 95 % CI: -0.74-0.32, p = 0.43) and processing speed (SMD = 0.25, 95 % CI: -0.58-1.07, p = 0.55). our results suggest that resveratrol does not have an effect on cognitive functions in older adults, however, it is necessary to carry out more studies with different doses, type of nutraceutical formulation and treatment time.

Microstructural Cerebellar Injury Independently Associated With Processing Speed in Adult Patients With Primary Brain Tumors: Implications for Cognitive Preservation

The cerebellum's role in posttreatment neurocognitive decline is unexplored. This study investigated associations between cerebellar microstructural integrity using quantitative neuroimaging biomarkers and neurocognition among patients with primary brain tumors receiving partial-brain radiation therapy (RT). In a prospective trial, 65 patients underwent volumetric brain magnetic resonance imaging, diffusion tensor imaging, and memory, executive function, language, attention, and processing speed (PS) assessment before RT and at 3, 6, and 12 months after RT. Delis-Kaplan Executive Function System-Trail Making (D-KEFS-TM) visual scanning and number and letter sequencing and Wechsler Adult Intelligence Scale, Fourth Edition, coding were used to evaluate PS. The cerebellar cortex and white matter (WM) and supratentorial structures subserving the previously mentioned cognitive domains were autosegmented. Volume was measured within each structure at each time point along with diffusion biomarkers (fractional anisotropy and mean diffusivity) in WM structures. Linear mixed-effects models assessed cerebellar biomarkers as predictors of neurocognitive scores. If associated, cerebellar biomarkers were evaluated as independent predictors of cognitive scores controlling for domain-specific supratentorial biomarkers. Left (P=.04) and right (P < .001) cerebellar WM volume declined significantly over time. Cerebellar biomarkers were not associated with memory, executive function, or language. Smaller left cerebellar cortex volume was associated with worse D-KEFS-TM number (P=.01) and letter (P=.01) sequencing scores. A smaller right cerebellar cortex volume correlated with worse D-KEFS-TM visual scanning (P=.02) and number (P=.03) and letter (P=.02) sequencing scores. Greater right cerebellar WM mean diffusivity, indicating WM injury, was associated with worse D-KEFS-TM visual scanning performance (P=.03). Associations remained significant after controlling for corpus callosum and intrahemispheric WM injury biomarkers. Injury to the cerebellum as measured with quantitative biomarkers correlates with worse post-RT PS, independent of corpus callosum and intrahemispheric WM damage. Efforts to preserve cerebellar integrity may preserve PS.