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Brain and Behavior Jun 2024To explore the functional connectivity (FC) characteristics of the episodic memory network (EMN) in amnestic mild cognitive impairment (aMCI) patients with different...
OBJECTIVE
To explore the functional connectivity (FC) characteristics of the episodic memory network (EMN) in amnestic mild cognitive impairment (aMCI) patients with different levels of executive function (EF).
METHODS
This study included 76 participants from the Alzheimer's Disease Neuroimaging Initiative database, comprising 23 healthy controls (HCs) and 53 aMCI patients. Based on EF levels, aMCI patients were categorized into aMCI-highEF and aMCI-lowEF groups. Cognitive function scores, pathological markers (cerebrospinal fluid β-amyloid, total tau protein, phosphorylated tau protein, AV45-PET, and FDG-PET), and functional magnetic resonance imaging were collected and compared among the three groups. Seed-based FC analysis was used to examine differences in the EMN among the groups, and partial correlation analysis was employed to investigate the relationship between changes in FC and cognitive function scores as well as pathological markers.
RESULTS
Compared to the aMCI-highEF group, the aMCI-lowEF group exhibited more severe cognitive impairment, decreased cerebral glucose metabolism, and elevated AV45 levels. Significant FC differences in the left superior temporal gyrus (STG) of the EMN were observed among the three groups. Post hoc analysis revealed that the aMCI-lowEF group had increased FC in the left STG compared to the HCs and aMCI-highEF groups, with statistically significant differences. Correlation analysis showed a significant negative correlation between the differences in FC in the left STG of aMCI-highEF and aMCI-lowEF groups and Rey Auditory Verbal Learning Test forgetting scores. Receiver operator characteristic curve analysis indicated an area under the curve of 0.741 for distinguishing between aMCI-highEF and aMCI-lowEF groups based on FC of left STG, with a sensitivity of 0.808 and a specificity of 0.667.
CONCLUSION
aMCI-lowEF exhibits characteristic changes in FC within the EMN, providing theoretical support for the role of EF in mediating EMN alterations and, consequently, impacting episodic memory function.
Topics: Humans; Cognitive Dysfunction; Male; Female; Aged; Memory, Episodic; Magnetic Resonance Imaging; Executive Function; Amnesia; Positron-Emission Tomography; Middle Aged; Neuropsychological Tests; Brain; Nerve Net
PubMed: 38898628
DOI: 10.1002/brb3.3601 -
Journal of Clinical Medicine Jun 2024: HIV is a severe and incurable disease that has a devastating impact worldwide. It affects the immune system and negatively affects the nervous system, leading to... (Review)
Review
: HIV is a severe and incurable disease that has a devastating impact worldwide. It affects the immune system and negatively affects the nervous system, leading to various cognitive and behavioral problems. Scientists are actively exploring different therapeutic approaches to combat these issues. One promising method is transcranial direct current stimulation (tDCS), a non-invasive technique that stimulates the brain. : This review aims to examine how tDCS can help HIV patients. Searches were conducted in the Pubmed/Medline, Research Gate, and Cochrane databases. : The literature search resulted in six articles focusing on the effects of tDCS on cognitive and behavioral measures in people with HIV. In some cases, tDCS showed positive improvements in the measures assessed, improving executive functions, depression, attention, reaction time, psychomotor speed, speed of processing, verbal learning and memory, and cognitive functioning. Furthermore, the stimulation was safe with no severe side effects. However, the included studies were of low quality, had small sample sizes, and did not use any relevant biomarkers that would help to understand the mechanisms of action of tDCS in HIV. : tDCS may help patients with HIV; however, due to the limited number of studies and the diversity of protocols used, caution should be exercised when recommending this treatment option in clinical settings. More high-quality research, preferably involving neurophysiological and neuroimaging measurements, is necessary to better understand how tDCS works in individuals with HIV.
PubMed: 38892999
DOI: 10.3390/jcm13113288 -
Nutrients Jun 2024: Dietary quality and the consumption of antioxidant-rich foods have been shown to protect against memory decline. Therefore, this double-blind, randomized,... (Randomized Controlled Trial)
Randomized Controlled Trial
An Examination into the Effects of a Nutraceutical Supplement on Cognition, Stress, Eye Health, and Skin Satisfaction in Adults with Self-Reported Cognitive Complaints: A Randomized, Double-Blind, Placebo-Controlled Trial.
: Dietary quality and the consumption of antioxidant-rich foods have been shown to protect against memory decline. Therefore, this double-blind, randomized, placebo-controlled study aimed to investigate the effects of a nutritional supplement on changes in cognitive performance. : In adults aged 40 to 70 years with subjective memory complaints, participants were randomly allocated to take a supplement containing vitamin E, astaxanthin, and grape juice extract daily for 12 weeks or a matching placebo. The primary outcomes comprised changes in cognitive tasks assessing episodic memory, working memory, and verbal memory. Secondary and exploratory measures included changes in the speed of information processing, attention, and self-report measures of memory, stress, and eye and skin health. Moreover, changes in plasma concentrations of brain-derived neurotrophic factor, malondialdehyde, tumor-necrosis factor-α, and interleukin-6 were measured, along with changes in skin carotenoid concentrations. : Compared to the placebo, nutritional supplementation was associated with larger improvements in one primary outcome measure comprising episodic memory ( = 0.037), but not for working memory ( = 0.418) or verbal learning ( = 0.841). Findings from secondary and exploratory outcomes demonstrated that the nutraceutical intake was associated with larger improvements in the Everyday Memory Questionnaire ( = 0.022), increased plasma brain-derived neurotrophic factor ( = 0.030), decreased plasma malondialdehyde ( = 0.040), and increased skin carotenoid concentrations ( = 0.006). However, there were no group differences in changes in the remaining outcome measures. : Twelve weeks of supplementation with a nutritional supplement was associated with improvements in episodic memory and several biological markers associated with cognitive health. Future research will be essential to extend and validate the current findings.
Topics: Humans; Dietary Supplements; Middle Aged; Double-Blind Method; Male; Female; Cognition; Adult; Aged; Brain-Derived Neurotrophic Factor; Vitamin E; Xanthophylls; Skin; Antioxidants; Interleukin-6; Self Report; Carotenoids; Tumor Necrosis Factor-alpha; Memory, Short-Term; Memory, Episodic; Fruit and Vegetable Juices; Malondialdehyde; Eye
PubMed: 38892705
DOI: 10.3390/nu16111770 -
BMJ Open Jun 2024The main aim of this study was to demonstrate how ordered network analysis of video-recorded interactions combined with verbal response mode (VRM) coding (eg,... (Observational Study)
Observational Study
Applying ordered network analysis to video-recorded physician-nurse interactions to examine communication patterns associated with shared understanding in inpatient oncology care settings.
OBJECTIVES
The main aim of this study was to demonstrate how ordered network analysis of video-recorded interactions combined with verbal response mode (VRM) coding (eg, edification, disclosure, reflection and interpretation) can uncover specific communication patterns that contribute to the development of shared understanding between physicians and nurses. The major hypothesis was that dyads that reached shared understanding would exhibit different sequential relationships between VRM codes compared with dyads that did not reach shared understanding.
DESIGN
Observational study design with the secondary analysis of video-recorded interactions.
SETTING
The study was conducted on two oncology units at a large Midwestern academic health care system in the USA.
PARTICIPANTS
A total of 33 unique physician-nurse dyadic interactions were included in the analysis. Participants were the physicians and nurses involved in these interactions during patient care rounds.
PRIMARY AND SECONDARY OUTCOME MEASURES
The primary outcome measure was the development of shared understanding between physicians and nurses, as determined by prior qualitative analysis. Secondary measures included the frequencies, orders and co-occurrences of VRM codes in the interactions.
RESULTS
A Mann-Whitney U test showed that dyads that reached shared understanding (N=6) were statistically significantly different (U=148, p=0.00, r=0.93) from dyads that did not reach shared understanding (N=25) in terms of the sequential relationships between edification and disclosure, edification and advisement, as well as edification and questioning. Dyads that reached shared understanding engaged in more edification followed by disclosure, suggesting the importance of this communication pattern for reaching shared understanding.
CONCLUSIONS
This novel methodology demonstrates a robust approach to inform interventions that enhance physician-nurse communication. Further research could explore applying this approach in other healthcare settings and contexts.
Topics: Humans; Communication; Video Recording; Physician-Nurse Relations; Female; Male; Adult; Middle Aged; Inpatients
PubMed: 38889940
DOI: 10.1136/bmjopen-2024-084653 -
Frontiers in Psychology 2024There is preliminary evidence that children after traumatic brain injury (TBI) have accelerated long-term forgetting (ALF), i.e., an adequate learning and memory...
Impaired episodic verbal memory recall after 1 week and elevated forgetting in children after mild traumatic brain injury - results from a short-term longitudinal study.
OBJECTIVE
There is preliminary evidence that children after traumatic brain injury (TBI) have accelerated long-term forgetting (ALF), i.e., an adequate learning and memory performance in standardized memory tests, but an excessive rate of forgetting over delays of days or weeks. The main aim of this study was to investigate episodic memory performance, including delayed retrieval 1 week after learning, in children after mild TBI (mTBI).
METHODS
This prospective study with two time-points (T1: 1 week after injury and T2: 3-6 months after injury), included data of 64 children after mTBI and 57 healthy control children aged between 8 and 16 years. We assessed episodic learning and memory using an auditory word learning test and compared executive functions (interference control, working memory, semantic fluency and flexibility) and divided attention between groups. We explored correlations between memory performance and executive functions. Furthermore, we examined predictive factors for delayed memory retrieval 1 week after learning as well as for forgetting over time.
RESULTS
Compared to healthy controls, patients showed an impaired delayed recall and recognition performance 3-6 months after injury. Executive functions, but not divided attention, were reduced in children after mTBI. Furthermore, parents rated episodic memory as impaired 3-6 months after injury. Additionally, verbal learning and group, but not executive functions, were predictive for delayed recall performance at both time-points, whereas forgetting was predicted by group.
DISCUSSION
Delayed recall and forgetting over time were significantly different between groups, both post-acutely and in the chronic phase after pediatric mTBI, even in a very mildly injured patient sample. Delayed memory performance should be included in clinical evaluations of episodic memory and further research is needed to understand the mechanisms of ALF.
PubMed: 38887630
DOI: 10.3389/fpsyg.2024.1359566 -
Frontiers in Psychology 2024In clinical neuropsychology, the phenomenon of accelerated long-term forgetting (ALF) has advanced to be a marker for subtle but clinically relevant memory problems...
INTRODUCTION
In clinical neuropsychology, the phenomenon of accelerated long-term forgetting (ALF) has advanced to be a marker for subtle but clinically relevant memory problems associated with a range of neurological conditions. The normal developmental trajectory of long-term memory, in this case, memory recall after 1 week, and the influence of cognitive variables such as intelligence have not extensively been described, which is a drawback for the use of accelerated long-term forgetting measures in pediatric neuropsychology.
METHODS
In this clinical observation study, we analyzed the normal developmental trajectory of verbal memory recall after 1 week in healthy children and adolescents. We hypothesized that 1-week recall and 1-week forgetting would be age-dependent and correlate with other cognitive functions such as intelligence and working memory. Sixty-three healthy participants between the ages of 8 and 16 years completed a newly developed auditory verbal learning test (WoMBAT) and the WISC-V intelligence test (General Ability Index, GAI). Using these tests, 1 week recall and 1 week forgetting have been studied in relation to GAI, verbal learning performance, and verbal working memory.
RESULTS
Neither 1-week recall nor 1-week forgetting seems to be age-dependent. They are also not significantly predicted by other cognitive functions such as GAI or working memory. Instead, the ability to recall a previously memorized word list after 7 days seems to depend solely on the initial learning capacity.
CONCLUSION
In the clinical setting, this finding can help interpret difficulties in free recall after 7 days or more since they can probably not be attributed to young age or low intelligence.
PubMed: 38887625
DOI: 10.3389/fpsyg.2024.1338826 -
JMIR MHealth and UHealth Jun 2024Despite the increasing need for digital services to support geriatric mental health, the development and implementation of digital mental health care systems for older...
Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study.
BACKGROUND
Despite the increasing need for digital services to support geriatric mental health, the development and implementation of digital mental health care systems for older adults have been hindered by a lack of studies involving socially vulnerable older adult users and their caregivers in natural living environments.
OBJECTIVE
This study aims to determine whether digital sensing data on heart rate variability, sleep quality, and physical activity can predict same-day or next-day depressive symptoms among socially vulnerable older adults in their everyday living environments. In addition, this study tested the feasibility of a digital mental health monitoring platform designed to inform older adult users and their community caregivers about day-to-day changes in the health status of older adults.
METHODS
A single-arm, nonrandomized living lab pilot study was conducted with socially vulnerable older adults (n=25), their community caregivers (n=16), and a managerial social worker over a 6-week period during and after the COVID-19 pandemic. Depressive symptoms were assessed daily using the 9-item Patient Health Questionnaire via scripted verbal conversations with a mobile chatbot. Digital biomarkers for depression, including heart rate variability, sleep, and physical activity, were measured using a wearable sensor (Fitbit Sense) that was worn continuously, except during charging times. Daily individualized feedback, using traffic signal signs, on the health status of older adult users regarding stress, sleep, physical activity, and health emergency status was displayed on a mobile app for the users and on a web application for their community caregivers. Multilevel modeling was used to examine whether the digital biomarkers predicted same-day or next-day depressive symptoms. Study staff conducted pre- and postsurveys in person at the homes of older adult users to monitor changes in depressive symptoms, sleep quality, and system usability.
RESULTS
Among the 31 older adult participants, 25 provided data for the living lab and 24 provided data for the pre-post test analysis. The multilevel modeling results showed that increases in daily sleep fragmentation (P=.003) and sleep efficiency (P=.001) compared with one's average were associated with an increased risk of daily depressive symptoms in older adults. The pre-post test results indicated improvements in depressive symptoms (P=.048) and sleep quality (P=.02), but not in the system usability (P=.18).
CONCLUSIONS
The findings suggest that wearable sensors assessing sleep quality may be utilized to predict daily fluctuations in depressive symptoms among socially vulnerable older adults. The results also imply that receiving individualized health feedback and sharing it with community caregivers may help improve the mental health of older adults. However, additional in-person training may be necessary to enhance usability.
TRIAL REGISTRATION
ClinicalTrials.gov NCT06270121; https://clinicaltrials.gov/study/NCT06270121.
Topics: Humans; Pilot Projects; Aged; Male; Female; Depression; Caregivers; COVID-19; Aged, 80 and over; Middle Aged; Vulnerable Populations; Heart Rate; Telemedicine
PubMed: 38885033
DOI: 10.2196/55842 -
Journal of Graduate Medical Education Jun 2024The integration of entrustable professional activities (EPAs) within objective structured clinical examinations (OSCEs) has yielded a valuable avenue for delivering... (Randomized Controlled Trial)
Randomized Controlled Trial
The integration of entrustable professional activities (EPAs) within objective structured clinical examinations (OSCEs) has yielded a valuable avenue for delivering timely feedback to residents. However, concerns about feedback quality persist. This study aimed to assess the quality and content alignment of verbal feedback provided by examiners during an entrustment-based OSCE. We conducted a progress test OSCE for internal medicine residents in 2022, assessing 7 EPAs. The immediate 2-minute feedback provided by examiners was recorded and analyzed using the Quality of Assessment of Learning (QuAL) score. We also analyzed the degree of alignment with EPA learning objectives: competency milestones and task-specific abilities. In a randomized crossover experiment, we compared the impact of 2 scoring methods used to assess residents' clinical performance (3-point entrustability scales vs task-specific checklists) on feedback quality and alignment. Twenty-one examiners provided feedback to 67 residents. The feedback demonstrated high quality (mean QuAL score 4.3 of 5) and significant alignment with the learning objectives of the EPAs. On average, examiners addressed in their feedback 2.5 milestones (61%) and 1.2 task-specific abilities (46%). The scoring methods used had no significant impact on QuAL scores (95% CI -0.3, 0.1, =.28), alignment with competency milestones (95% CI -0.4, 0.1, =.13), or alignment with task-specific abilities (95% CI -0.3, 0.1, =.29). In our entrustment-based OSCE, examiners consistently offered valuable feedback aligned with intended learning outcomes. Notably, we explored high-quality feedback and alignment as separate dimensions, finding no significant impact from our 2 scoring methods on either aspect.
Topics: Internship and Residency; Humans; Clinical Competence; Educational Measurement; Internal Medicine; Competency-Based Education; Feedback; Education, Medical, Graduate; Formative Feedback; Cross-Over Studies; Checklist
PubMed: 38882423
DOI: 10.4300/JGME-D-23-00569.1 -
Scientific Reports Jun 2024Dementia is a progressive neurological disorder that affects the daily lives of older adults, impacting their verbal communication and cognitive function. Early...
Dementia is a progressive neurological disorder that affects the daily lives of older adults, impacting their verbal communication and cognitive function. Early diagnosis is important to enhance the lifespan and quality of life for affected individuals. Despite its importance, diagnosing dementia is a complex process. Automated machine learning solutions involving multiple types of data have the potential to improve the process of automated dementia screening. In this study, we build deep learning models to classify dementia cases from controls using the Pitt Cookie Theft dataset from DementiaBank, a database of short participant responses to the structured task of describing a picture of a cookie theft. We fine-tune Wav2vec and Word2vec baseline models to make binary predictions of dementia from audio recordings and text transcripts, respectively. We conduct experiments with four versions of the dataset: (1) the original data, (2) the data with short sentences removed, (3) text-based augmentation of the original data, and (4) text-based augmentation of the data with short sentences removed. Our results indicate that synonym-based text data augmentation generally enhances the performance of models that incorporate the text modality. Without data augmentation, models using the text modality achieve around 60% accuracy and 70% AUROC scores, and with data augmentation, the models achieve around 80% accuracy and 90% AUROC scores. We do not observe significant improvements in performance with the addition of audio or timestamp information into the model. We include a qualitative error analysis of the sentences that are misclassified under each study condition. This study provides preliminary insights into the effects of both text-based data augmentation and multimodal deep learning for automated dementia classification.
Topics: Humans; Deep Learning; Dementia; Aged; Female; Male; Aged, 80 and over; Databases, Factual
PubMed: 38880810
DOI: 10.1038/s41598-024-64438-1 -
NPJ Digital Medicine Jun 2024Exergaming is a combination of exercise and gaming. Evidence shows an association between exercise and cognition in older people. However, previous studies showed... (Review)
Review
Exergaming is a combination of exercise and gaming. Evidence shows an association between exercise and cognition in older people. However, previous studies showed inconsistent results on the cognitive benefits of exergaming in people with cognitive impairment. Therefore, this study aims to examine the effect of exergaming intervention on cognitive functions in people with MCI or dementia. A systematic literature search was conducted via OVID databases. Randomized controlled trials (RCTs) examined the effect of an exergaming intervention on cognitive functions in people with MCI or dementia were included. Subgroup analyses were conducted according to the type of intervention and training duration. Twenty RCTs with 1152 participants were identified, including 14 trials for MCI and 6 trials for dementia. In people with MCI, 13 studies used virtual-reality (VR)-based exergaming. Those who received VR-based exergaming showed significantly better global cognitive function [SMD (95%CI) = 0.67 (0.23-1.11)], learning and memory [immediate recall test: 0.79 (0.31-1.27); delayed recall test: 0.75 (0.20-1.31)], working memory [5.83 (2.27-9.39)], verbal fluency [0.58 (0.12-1.03)], and faster in executive function than the controls. For people with dementia, all studies used video-based exergaming intervention. Participants with exergaming intervention showed significantly better global cognitive function than the controls [0.38 (0.10-0.67)]. Subgroup analyses showed that longer training duration generated larger effects. The findings suggest that exergaming impacts cognitive functions in people with MCI and dementia. Cognitive benefits are demonstrated for those with a longer training duration. With technological advancement, VR-based exergaming attracts the attention of people with MCI and performs well in improving cognitive functions.
PubMed: 38879695
DOI: 10.1038/s41746-024-01142-4