Technology-based cognitive training and rehabilitation interventions for individuals with mild cognitive impairment: a systematic review

Cognitive Training to Reduce Memory Disturbance Associated With Postoperative Cognitive Impairment After Elective Noncardiac Surgery: An Experimental Study

PURPOSE

Assess the efficiency of a cognitive training program using an artificial intelligence application to optimize cognitive reserve and reduce memory disturbance in patients aged 55 to 75 after Class II-III elective noncardiac surgery.

DESIGN

Experimental with random assignment.

METHODS

The study was conducted on 80 patients undergoing surgery at the Teknon Medical Center Hospital in Barcelona, from April 2018 to June 2021. Both groups were evaluated with cognitive tests before surgery and 7 and 30 days after surgery. The experimental group was subjected to cognitive training for 10 days before surgery to improve their cognitive reserve.

FINDINGS

Significant differences were found between the study groups 30 days after surgery in the three screening tests (Mini-Cog, T@M, and MFE). The intervention group presented with fewer cognitive and memory alterations. Age and pre-existing comorbidities were not correlated with an impact on memory impairment or cognitive function.

CONCLUSIONS

A cognitive training program based on artificial intelligence, prescribed and monitored by anesthesia nurses has a positive impact on increasing cognitive reserve and reducing memory disturbance in patients aged 55 to 75 undergoing Class II to III elective, noncardiac surgery. This intervention may serve as a prehabilitation strategy in patients with a risk of cognitive dysfunction evaluated by anesthesia nurses for the purpose of preserving their cognitive function and optimizing their recovery.

Exploring the Acute Effects of Immersive Virtual Reality Biking on Self-Efficacy and Attention of Individuals in the Treatment of Substance Use Disorders: A Feasibility Study

BACKGROUND

The role of exercise programs during substance use disorder (SUD) treatment is considered particularly supportive in fostering positive psychological and behavioral changes. The treatment of SUD is a challenging and demanding process. Therefore, it is crucial to discover innovative methods to enhance and facilitate it. Integrating exercise into a virtual environment is an innovative approach for drug rehabilitation, offering multiple benefits to individuals undergoing treatment. The aim of this feasibility study was to explore the acute effects of cycling exercise in an immersive virtual reality (VR) environment on attentional control and self-efficacy expectations of individuals undergoing SUD treatment.

METHODS

A total of 20 individuals (mean age of 37.75 years) enrolled in a SUD treatment program participated in the study. They were instructed to complete a single session of cycling with a self-selected duration within the VR system.

RESULTS

Following the cycling session, pre-post measures indicated a statistically significant improvement in self-efficacy expectations and attentional control measured with the Stroop test. The results revealed that participants expressed high levels of intention for future use, interest/enjoyment, and positive attitudes toward the VR exercise system. Qualitative data indicated that participants found the VR exercise system enjoyable, expressed a strong intention to use it, and did not encounter technical difficulties or negative emotions.

CONCLUSIONS

In conclusion, it seems that engaging in a brief period of self-selected exercise within a virtual environment can result in temporary activation of cognitive changes, heightened self-efficacy expectations, and a motivating approach to increasing physical activity participation among individuals with SUD, thus suggesting the feasibility of this approach.

Effectiveness of Computerized Cognitive Training on Working Memory in Pediatric Cancer Survivors: A Systematic Review and Meta-analysis

BACKGROUND

Interactive features of computerized cognitive training (CCT) may enhance adherence to training, providing a relatively low-cost intervention. A robust systematic review on the effectiveness of CCT for improving working memory (WM) among pediatric survivors with cancer is lacking.

OBJECTIVE

To summarize the available evidence and determine the effectiveness of CCT for WM among pediatric survivors with cancer.

INTERVENTIONS/METHODS

Five databases were searched. The Effective Public Health Practice Project was used to assess the study quality. ReviewerManager was used. The primary outcome was WM performance. Secondary outcomes included processing speed, attention, intervention adherence, and number of adverse events.

RESULTS

Six studies were included. Regarding overall quality, 1 study was weak, and 5 studies were moderate. Five studies reported a significant improvement of WM postintervention (P < .05). The meta-analysis of Cogmed interventions on symbolic WM revealed a significant difference between groups (vs placebo), with an overall pooled effect size of 0.71 (95% confidence interval, 0.02-1.41; P = .04). Two and 4 studies investigated the effects of CCT on processing speed and attention, respectively, with conflicting results. Four studies reported adherence of 80% or greater. Two studies reported no adverse events.

CONCLUSIONS

Computerized cognitive training using Cogmed has a significant positive effect on WM. The effects of CCT on processing speed and attention remain inconclusive.

IMPLICATIONS FOR PRACTICE

More rigorous trials should be conducted to elucidate the cognitive effects of CCT, particularly processing speed and attention, in the pediatric population with cancer. Further studies should consider combining CCT with other existing interventions to strengthen their effectiveness.

Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends

Rehabilitation is an important and necessary part of local and global healthcare services along with treatment and palliative care, prevention of disease, and promotion of good health. The rehabilitation process helps older and young adults even children to become as independent as possible in activities of daily life and enables participation in useful living activities, recreation, work, and education. The technology of Artificial Intelligence (AI) has evolved significantly in recent years. Many activities related to rehabilitation have been getting benefits from using AI techniques. The objective of this review study is to explore the advantages of AI for rehabilitation and how AI is impacting the rehabilitation process. This study aims at the most critical aspects of the rehabilitation process that could potentially take advantage of AI techniques including personalized rehabilitation apps, rehabilitation through assistance, rehabilitation for neurological disorders, rehabilitation for developmental disorders, virtual reality rehabilitation, rehabilitation of neurodegenerative diseases and Telerehabilitation of Cardiovascular. We presented a survey on the newest empirical studies available in the literature including the AI-based technology helpful in the Rehabilitation process. The novelty feature included but was not limited to an overview of the technological solutions useful in rehabilitation. Seven different categories were identified. Illustrative examples of practical applications were detailed. Implications of the findings for both research and practice were critically discussed. Most of the AI applications in these rehabilitation types are in their infancy and continue to grow while exploring new opportunities. Therefore, we investigate the role of AI technology in rehabilitation processes. In addition, we do statistical analysis of the selected studies to highlight the significance of this review work. In the end, we also present a discussion on some challenges, and future research directions.

Effects of immersive and non-immersive virtual reality-based rehabilitation training on cognition, motor function, and daily functioning in patients with mild cognitive impairment or dementia: A systematic review and meta-analysis

OBJECTIVE

To examine the effectiveness of virtual reality (VR)-based rehabilitation training in improving cognition, motor function, and daily functioning in patients with mild cognitive impairment and dementia.

DATA SOURCES

A systematic review of published literature was conducted using PubMed, Web of Science, Elsevier, Embase, Cochrane, CNKI, Networked Digital Library of Theses and Dissertations.

METHODS

The search period was from inception to 7 October 2023. Eligible studies were randomized controlled trials evaluating the efficacy of VR-based rehabilitation training in patients with mild cognitive impairment or dementia versus control subjects. Methodologic quality was assessed with the Cochrane risk of bias tool, and outcomes were calculated as the standard mean difference between participant groups with 95% confidence interval.

RESULTS

A total of 21 randomized controlled trials with 1138 patients were included. The meta-analysis showed that VR-based rehabilitation training had significant effects on Montreal Cognitive Assessment (SMD: 0.50; 95%CI: 0.05 to 0.95; P = 0.030), Trail-making test A (SMD: -0.38; 95%CI: -0.61 to -0.14; P = 0.002), and Berg Balance Scale scores (SMD: 0.79; 95%CI: 0.13 to 1.45; P = 0.020). A subgroup analysis revealed that the type of VR, and duration and frequency of interventions had statistically significant effects on cognition and motor function.

CONCLUSION

VR-based rehabilitation training is a beneficial nonpharmacologic approach for managing mild cognitive impairment or dementia. Immersive VR-based training had greater effects on cognition and motor function than non-immersive VR-based training, but non-immersive VR-based training was more convenient for patients with limitations imposed by their disease. Also, an intervention lasting 5-8 weeks and for >30 min at a frequency of ≥3 times/week achieved the best results. It indicated that a longer intervention cycle may not achieve the best intervention effect and training duration and schedule should be carefully considered when managing patients.

Can transcranial direct current stimulation combined with interactive computerized cognitive training boost cognition and gait performance in older adults with mild cognitive impairment? a randomized controlled trial

BACKGROUND

Older adults with Mild Cognitive Impairment (MCI) are often subject to cognitive and gait deficits. Interactive Computerized Cognitive Training (ICCT) may improve cognitive function; however, the effect of such training on gait performance is limited. Transcranial Direct Current Stimulation (tDCS) improves cognition and gait performance. It remains unclear whether combining tDCS with ICCT produces an enhanced synergistic effect on cognition and complex gait performance relative to ICCT alone. This study aimed to compare the effects of tDCS combined with ICCT on cognition and gait performance in older adults with MCI.

METHOD

Twenty-one older adults with MCI were randomly assigned to groups receiving either anodal tDCS and ICCT ( tDCS + ICCT ) or sham tDCS and ICCT ( sham + ICCT ). Participants played Nintendo Switch cognitive games for 40 min per session, simultaneously receiving either anodal or sham tDCS over the left dorsolateral prefrontal cortex for the first 20 min. Cognitive and gait assessments were performed before and after 15 training sessions.

RESULTS

The global cognition, executive function, and working-memory scores improved in both groups, but there were no significant interaction effects on cognitive outcomes. Additionally, the group × time interactions indicated that tDCS + ICCT significantly enhanced dual-task gait performance in terms of gait speed (p = 0.045), variability (p = 0.016), and dual-task cost (p = 0.039) compared to sham + ICCT.

CONCLUSION

The combined effect of tDCS and ICCT on cognition was not superior to that of ICCT alone; however, it had a significant impact on dual-task gait performance. Administering tDCS as an adjunct to ICCT may thus provide additional benefits for older adults with MCI.

TRIAL REGISTRATION

This trial was registered at http://www.

CLINICALTRIALS

in.th/ (TCTR 20,220,328,009).

Examining behaviour change techniques (BCTs) in technology-based interventions for enhancing social participation in people with mild cognitive impairment (MCI) or dementia: a scoping review protocol

INTRODUCTION

Technology-based interventions have improved the social participation of older adults with mild cognitive impairment (MCI) or dementia. Nevertheless, how these interventions modify social participation remains to be seen, and what efficient behaviour change techniques (BCTs) have been used. As such, this study aims to conduct a scoping review, identifying the features and BCTs behind technology-based interventions that improve social participation for individuals with MCI or dementia.

METHODS AND ANALYSIS

The scoping review method will be used to search journal articles from electronic databases, such as PsycINFO, PubMed, MEDLINE, Web of Science, Scopus and reference lists. Following the population, concept and context structure, this study focuses on adults over 60 diagnosed with MCI or dementia. It delves into technology-based interventions, specifically focusing on BCTs, features and overall effectiveness for improving social participation. The research considers contextual factors, exploring the diverse settings where these interventions are used, including homes, healthcare facilities and community centres. This approach aims to provide nuanced insights into the impact of technology-based interventions on social participation in the targeted demographic. Two authors will independently screen titles, abstracts and full texts using Covidence software. Disagreements will be resolved through consensus or a third reviewer, and reasons for exclusion will be documented. We will conduct a detailed analysis of BCTs to pinpoint effective strategies applicable to future technology-based intervention designs. Through this scoping review, we aim to provide valuable insights that guide the direction of future research. Specifically, we seek to inform the development of effective technology-based interventions tailored to support social participation for people with MCI or dementia.

ETHICS AND DISSEMINATION

Ethical approval is not necessary, as this review will use available articles from electronic databases. The outcome of the study will be published in a peer-reviewed journal. PROTOCOL REGISTRATION NUMBER: https://osf.io/tkzuf/.

Experiences of Older Adults with Mild Cognitive Impairment from Cognitive Self-Training Using Touchscreen Tablets

Background: "Tablet Enhancement of Cognition and Health" (TECH) is a cognitive intervention that includes two components: 5 weeks of daily self-training using puzzle-game apps on a touch screen tablet and weekly group sessions. This study aimed to (i) explore experiences of older adults with mild cognitive impairment (MCI) following their participation in TECH, (ii) identify hindering and enabling factors to self-training, and (iii) describe participants' perceived and objective cognitive changes and examine factors associated with their satisfaction from TECH. Materials and Methods: We used quantitative and qualitative measures; a phenomenological qualitative design using focus groups and interviews of 14 older adults with MCI and a focus group of the TECH facilitators. Satisfaction with TECH, self-training time, and perceived and objective cognitive changes (using the Montreal Cognitive Assessment) were evaluated. Results: Qualitative data were classified into three categories: Memory problems, Hindering and enabling factors to self-training, and Meaningful group sessions. The TECH facilitators reported positive changes, less cognitive complaints, and commitment and satisfaction of the participants. Participants reported overall satisfaction from TECH and performed a median interquartile range of 22.6 (19.9-42.8) self-training hours. Higher satisfaction was correlated with a higher objective cognitive change (r = 0.95, P < 0.01) and less training time (r = -0.91, P < 0.01). Discussion and Conclusions: Participants in the current study actively engaged in daily self-training using touch screen-tablet-puzzle-game and functional apps, driven by both internal and external motivators. Despite the lack of cognitive improvement, they expressed satisfaction with their participation in TECH. Therefore, encouraging older adults to engage in meaningful cognitive stimulating activities is recommended.

TECH preserves global cognition of older adults with MCI compared with a control group: a randomized controlled trial

BACKGROUND

Cognitive training using touchscreen tablet casual game applications (apps) has potential to be an effective treatment method for people with mild cognitive impairment (MCI).

AIMS

This study aimed to establish the effectiveness of 'Tablet Enhancement of Cognition and Health' (TECH), a novel cognitive intervention for improving/preserving cognition in older adults with MCI.

METHODS

A single-blind randomized controlled trial with assessments pre-, post-, and at 6-month follow-up was conducted. TECH entailed 5 weeks of daily self-training utilizing tablet apps, facilitated by weekly group sessions. Global cognition was assessed by the Montreal Cognitive Assessment (MoCA), and specific cognitive components were assessed using WebNeuro computerized battery. Short Form Health Survey (SF-12) assessed health-related quality of life (HRQoL). Intention-to-treat analysis was conducted and the %change was calculated between pre-post and between pre-follow-up. Cohen's d effect size was also calculated.

RESULTS

Sixty-one participants aged 65-89 years were randomly allocated to TECH (N = 31, 14 women) or to standard care (N = 30, 14 women). Pre-post and pre-follow-up MoCA %change scores were significantly higher in TECH than control (U = 329.5, p < .05; U = 294.5, p < .05) with intermediate effect size values (Cohen's d = .52, Cohen's d = .66). Forty percent of TECH participants versus 6.5% of control participants achieved a minimal clinical important difference in MoCA. Pre-post between-group differences for specific cognitive components were not found and HRQoL did not change.

DISCUSSION AND CONCLUSIONS

TECH encouraged daily self-training and showed to preserve global cognition of older adults with MCI. The implementation of TECH is recommended for older adults with MCI, who are at risk for further cognitive decline.

Preoperative mild cognitive impairment as a risk factor of postoperative cognitive dysfunction in elderly patients undergoing spine surgery

Introduction

Any persistent degree of cognitive impairment in older adults is a concern as it can progress to dementia. This study aimed to determine the incidence and risk factors for early postoperative cognitive dysfunction (POCD) in elderly patients undergoing spine surgery.

Methods

Patients were enrolled from a previous prospective observational study after screening for normal cognitive function using the Mini Mental State Examination (MMSE). Cognitive function was evaluated before surgery and at 1 week, month, and year post-surgery using MMSE and Montreal Cognitive Assessment scores (MoCA). Mild cognitive impairment (MCI) was determined using the MoCA scores adjusted for age. POCD was defined as a drop of three or more points on the MMSE 1 week post-surgery. Multivariate logistic analysis was performed to identify POCD risk factors.

Results

A total of 427 patients were included. Eighty-five (20%) had pre-existing MCI. The MCI group showed lower MoCA scores at each time point (baseline, 1 week after surgery, 1 month after surgery, 1 year after surgery) compared to the non-MCI group. Those in the MCI group had a higher rate of admission to intensive care unit after surgery, postoperative delirium, and POCD 1 week post-surgery, than those in the non-MCI group (16.5% vs. 6.7%, p = 0.008; 27.1% vs. 15.8%, p = 0.024; and 18.8% vs. 8.2%, p < 0.001, respectively). Among them, 10.3% were assessed for POCD on postoperative day 7 and self-reported poor social roles and physical functioning 1 week postoperatively.

Conclusion

Preoperative MCI was seen in ~20% of surgical patients aged >70 years. POCD was seen in ~20% of patients with pre-existing MCI, and ~ 10% of those without. Benzodiazepine use, significant comorbidities, pre-existing MCI, and depressive tendencies were risk factors for POCD.

Cognitive training for older prisoners: a qualitative analysis of prisoners' and staff members' perceptions

Introduction

Correctional institutions are challenged by increasing numbers of older prisoners. Existing literature highlights the vulnerability of this group that is reflected by various somatic and mental health issues including cognitive dysfunctions. Although cognitive training studies in various target groups of older people have been conducted, there is lack of data regarding cognitive training in older prisoners. A structured cognitive group training program ("NEUROvitalis Prison") with 12 weekly sessions was offered to male prisoners in Germany.

Methods

Post intervention an exploratory qualitative study was conducted. Prisoners (N = 18) and staff (N = 4) perspectives were explored by conducting face-to-face semi-structured interviews. Audiotaped data were fully transcribed and deductive-inductive content analyses applied.

Results

Both the prisoners and the staff perceived the cognitive training as very positive and stimulating. Moreover, the importance of the training was pronounced in terms of an increase in self-esteem and understanding of cognition and aging in the prisoners.

Discussion

Our data indicate that cognitive training may be a feasible and valuable intervention for older prisoners that will be appreciated by both inmates and staff. The qualitative data provide substantial insight into the experiences with the applied cognitive training program. Moreover, valuable modifications for future conduct can be derived.

Virtual reality and cognitive rehabilitation for older adults with mild cognitive impairment: A systematic review

Virtual Reality (VR) has been gaining increasing attention as a potential ecological and effective intervention system for treating Mild Cognitive Impairment (MCI). However, it remains unclear the efficacy and effectiveness of VR-based cognitive rehabilitation therapy (VR-CRT) in comparison with cognitive rehabilitation therapy (CRT). Consequently, a systematic review on Pubmed, Scopus, PsycInfo, and Web Of Science was conducted to assess the state of the art of the literature published between 2003 and April 2023. Only articles that adopted CRT as control group and that included some measure of at least one domain among overall cognitive function, executive function and functional status were included. Participants needed to be older adults aged 65 or over with a diagnosis of MCI. The risk of bias and the quality of evidence were assessed using the Version 2 of the Cochrane risk-of-bias tool for randomized trials. Initially, 6503 records were considered and screened after removing duplicates (n = 1321). Subsequently, 81 full texts were assessed for eligibility. Four articles met the inclusion criteria but 2 of them were merged as they were describing different outcomes of the same research project. Consequently, 3 overall studies with a total of 130 participants were included in the final analysis. Due to the high heterogeneity in the methodology and outcome measures employed, it was not possible to conduct a meta-analysis. Included studies used semi-immersive (k = 2) and full-immersive (k = 1) VR systems in their research. Two articles evaluated overall cognitive function through the MoCA together with specific tests for executive functions (n = 69), while one study adopted a comprehensive neuropsychological battery to evaluate both cognitive function and executive function (n = 61). Finally, one study evaluated functional status through instrumental activities of daily living (n = 34). A However, the limited number of studies, the small sample size, and the potential issues with the quality and methodology of these studies that emerged from the risk of bias assessment may raise doubts about the reliability of their results. Nevertheless, although scarce, results of the present review suggest that VR-CRT may be paramount in treating MCI for its additional ecological and adaptive advantages, as all of the studies highlighted that it was at least as effective as conventional CRT for all the outcome measures. Therefore, more rigorous research that compares VR-CRT and CRT is needed to understand the degree to which VR-CRT is effective with older adults with MCI and the potential role of immersion to influence its efficacy. Indeed, these preliminary findings highlight the need for the development of standardized VR protocols, as the integration of such technology into clinical practice may help improve the quality of life and cognitive outcomes for this growing demographic.

Cognitive Training with Older Adults Using Smartphone and Web-Based Applications: A Scoping Review

INTRODUCTION

The present scoping review focused on: i) which apps were previously studied; ii) what is the most common frequency for implementing cognitive training; and iii) what cognitive functions the interventions most focus on.

METHODS

PRISMA guidelines were followed, and the search was conducted on Web of Science, PsycInfo, Cochrane, and Pubmed. From 1733 studies found, 34 were included.

RESULTS

it was highlighted the necessity for forthcoming investigations to tackle the methodical restrictions and disparities in the domain.

DISCUSSION

great diversity in intervention protocols was found. Incorporating evaluations of physical fitness in conjunction with cognitive evaluations can offer a more all-encompassing comprehension of the impacts of combined interventions. Furthermore, exploring the efficacy of cognitive training applications requires additional scrutiny, considering individual variances and practical outcomes in real-life settings.

Virtual reality applications based on instrumental activities of daily living (iADLs) for cognitive intervention in older adults: a systematic review

BACKGROUND

In recent years, the use of virtual reality (VR) as a complementary intervention in treating cognitive impairment has significantly increased. VR applications based on instrumental activities of daily living (iADL-VR) could offer a promising approach with greater ecological validity for intervention in groups with cognitive impairments. However, the effectiveness of this approach is still debated.

OBJECTIVE

This systematic review aims to synthesize the effects of iADL-VR interventions to rehabilitate, train, or stimulate cognitive functions in healthy adults and people with mild cognitive impairment (MCI) and different types of dementia.

METHODS

A systematic search was performed in the Scopus, PubMed, IEEE Xplore, Web of Science, and APA PsycNet databases until September 2022 and repeated in April 2023. The selected studies met the search terms, were peer-reviewed, included an iADL-VR intervention, and were written in English. Descriptive, qualitative studies, reviews, cognitive assessment, non-intervention studies, those unrelated to VR or iADL, those focused on motor aspects, and non-degenerative disorders were excluded. The PEDro scale was used to assess the methodological quality of the controlled studies. To present and synthesize the results, we organized the extracted data into three tables, including PEDro scores, participant characteristics, and study characteristics.

RESULTS

Nineteen studies that met the inclusion and exclusion criteria were included. The total sample reached 590 participants, mostly women (72.67%). Approximately 30% were diagnosed with Alzheimer's disease or dementia, and 20% had mild cognitive impairment. Variables such as authors and year of publication, study design, type of intervention and VR applied, duration of the intervention, main findings, and conclusions were extracted. Regarding demographic characteristics, the sample size, age, sex, years of education, neurological diagnosis, dropouts, and the city and country where the intervention took place were recorded. Almost all studies showed improvements in some or all the outcomes after the intervention, generally greater in the iADL-VR group than in the control group.

CONCLUSION

iADL-VR interventions could be beneficial in improving the performance of cognitive functions in older adults and people with MCI and different types of dementia. The ecological component of these tasks makes them very suitable for transferring what has been learned to the real world. However, such transfer needs to be confirmed by further studies with larger and more homogeneous samples and longer follow-up periods. This review had no primary funding source and was registered with PROSPERO under registration ID: 375166.

Mechanisms of Change in Cognitive Function Domains Among Older Adults in Cognitive Deterioration and Improvement Groups: Evidence From Phenotypic Network Structure

OBJECTIVE

To investigate how cognitive function domains change in phenotypic networks in cognitive deterioration and improvement groups.

DESIGN

Secondary data analysis.

SETTING AND PARTICIPANTS

Respondents in the Aging, Demographics, and Memory Study (ADAMS) who were 70 years or older at the time of the data collection in 2000 or 2002.

METHODS

This study used data from the ADAMS in Wave A and Wave B. We assessed 12 cognitive function domains. Latent profile transition analysis (LPTA) and the cross-lagged panel network model were used to the dynamic interactions of the 12 cognitive function domains over time in both the deterioration and improvement groups.

RESULTS

A total of 252 participants were included in the final analysis. LPTA identified 5 subgroups and categorized all samples into 3 main categories: improvement group (n = 61), deterioration group (n = 54), and no change group (n = 137). "D9: psychomotor processing" showed the largest value of out-strength in the deterioration group (r = 0.941) and improvement group (r = 0.969). The strongest direct positive effect in the deterioration group was "C9: psychomotor processing" -> "C8: attention" [β = 0.39 (0.00, 1.13)]. In the improvement group, the strongest direct positive effect was "C9 = psychomotor processing" -> "C7 = visual memory" [β = 0.69 (0.07, 1.30)].

CONCLUSION AND IMPLICATIONS

Psychomotor processing affected other cognitive domains, and it played a crucial role in changes of cognitive function. The paths of psychomotor processing to attention and visual memory were found to be major factors in cognitive deterioration and improvement. Targeting psychomotor processing may lead to the development of more effective and precise interventions.

Impact of Mobile Games-Aided Neurorehabilitation: A Systematic Literature Review

Neurological rehabilitation is a physician-supervised programme for individuals with nervous system diseases, injuries or disorders. Neurological rehabilitation, also known as neurorehabilitation, is part of the rehabilitation process that improves function, reduces severity and enhances a patient's well-being. Because neurological injuries occur in the brain, spine and nerves, affecting multiple body parts including organs, blood vessels, muscles and bones, rehabilitation requires a multidisciplinary approach. This study conducted a systematic literature review (SLR) on the use of mobile game in neurorehabilitation. The steps undertaken in the literature review included the collection, identification, categorisation, summarisation and synthesis of relevant studies in the research domain. A total of 50 related articles were reviewed. The study identified that the effects on cognitive skills, handgrip strength, memory, attention, visuospatial abilities, executive function tasks, motor functionality, and improvements in balance, visual perception, and functional mobility are impacts of the use of mobile games in neurological rehabilitation. Furthermore, several research challenges and recommendations for future research were identified.

Effect of Individual Virtual Reality Cognitive Training Programs on Cognitive Function and Depression in Middle-Aged Women: Randomized Controlled Trial

BACKGROUND

Given the increasing incidence of early-onset Alzheimer disease, strategies for early diagnosis and swift treatment interventions are crucial for mitigating cognitive problems in women and middle-aged individuals who face a high risk of cognitive impairment.

OBJECTIVE

This study aimed to assess the effectiveness of individual cognitive training programs based on virtual reality (VR), a nonpharmacological intervention, on cognitive function and depression in middle-aged women at risk of cognitive impairment. It used VR technology, which has recently been recognized as a promising tool.

METHODS

We administered a VR-based cognitive training program for 30 minutes daily, twice a week, for 12 weeks (24 sessions). This study included middle-aged women residing in older adults' welfare facilities in G-gu, Busan, from May to August 2021. A total of 60 participants were randomly divided into the training (n=30) and control (n=30) groups. Cognitive and depressive functions were assessed using the Korean versions of the Montreal Cognitive Assessment (K-MoCA), Digit Span Test (DST), Korean-Color Word Stroop Test (K-CWST), and Short Form of the Geriatric Depression Scale (SGDS-K) before the intervention. The training group underwent a VR-based cognitive training program, whereas the control group was educated to maintain regular daily activities. The same assessments were performed 12 weeks after treatment.

RESULTS

A comparison of the mean scores before and after K-MoCA in the training group revealed a significant increase from 24.87 (SD 2.62) to 27.50 (SD 1.70; P<.01), indicating substantial cognitive improvement. Similarly, the mean DST forward scores increased significantly from 6.97 (SD 1.10) to 7.90 (SD 1.18; P<.01), suggesting enhanced short-term auditory memory and attention. The mean DST backward scores also showed a significant improvement from 4.10 (SD 0.71) to 4.77 (SD 1.2; P=.01). Notably, the mean SGDS-K scores decreased significantly from 3.97 (SD 2.51) to 2.13 (SD 1.87; P<.01), indicating a reduction in depression within the training group.

CONCLUSIONS

The VR-based cognitive training programs significantly enhanced cognitive function and reduced depression in middle-aged women. Consequently, these programs are considered beneficial nonpharmacological cognitive training interventions for middle-aged women at high risk of cognitive impairment.

TRIAL REGISTRATION

UMIN Clinical Trials Registry UMIN000049752; https://tinyurl.com/z5du989z.

A randomized controlled trial testing a virtual program for Asian American women breast cancer survivors

A culturally tailored virtual program could meet the survivorship needs of Asian American women breast cancer survivors (AABC). This study aims to determine the efficacy of a culturally tailored virtual information and coaching/support program (TICAA) in improving AABC's survivorship experience. A randomized clinical trial (NCT02803593) was conducted from January 2017 to June 2020 among 199 AABC. The intervention group utilized TICAA and the American Cancer Society [ACS] website while the control group used only ACS website for 12 weeks. The outcomes were measured using the SCNS-34SF (needs; primary), the MSAS-SF (symptoms; secondary), and the FACT-B (quality of life; secondary). The data were analyzed using an intent-to-treat approach. The intervention group showed significant reductions in their needs from the baseline (T0) to post 4 weeks (T1) and to post 12 weeks (T2). Although the changes were not statistically significant, the intervention group had decreased symptoms from T0 to T2 while the control group had an increase in their symptoms. The intervention group had a significant increase in their quality of life from T0 to T2. A culturally tailored virtual program could therefore improve quality of life in AABC patients. Trial Registration: To Enhance Breast Cancer Survivorship of Asian Americans (TICAA), NCT02803593, https://clinicaltrials.gov/ct2/show/NCT02803593?titles=TICAA&draw=2&rank=1.

Efficacy of cognitive training on executive functions in healthy older adults: a systematic review with meta-analysis of randomized controlled trials

OBJECTIVE

Systematically review randomized controlled trials on the efficacy of cognitive training on executive functions in healthy older people.

MEASURES

The outcome measures were related to inhibitory control, working memory, and cognitive flexibility.

RESULTS

Thirty-one trials were included in the systematic review and thirteen trials in the meta-analysis. In the overall analysis, the cognitive training enhanced inhibitory control when measured by the Stroop task (p < .001, d = 1.64) and working memory when measured by the Corsi Block task (p = .002, d = .16). A marginal significance was found for working memory in the Digit Span task - Forward (p = .06, d = .92). However, cognitive training did not enhance inhibitory control when measured by the Go/No-Go task (p = .76, d = .59), working memory when measured by the Digit Span - Backward (p = .72, d = .95) and N-Back (p = .10, d = .26) tasks, and cognitive flexibility when measured by Trail Making - Part B (p = .08, d = .27) and Semantic Fluency (p = .49, d = .06) tasks.

CONCLUSION

Mixed evidence was found for inhibitory control and working memory; cognitive flexibility showed no evidence of improvement.

Feasibility and Effects of Cognitive Training with the COGNIPLAT Game Platform in Elderly with Mild Cognitive Impairment: Pilot Randomized Controlled Trial

This study examines the effectiveness of a new multi-domain multimodal cognitive training game platform, COGNIPLAT, in improving cognitive performance in elderly with mild cognitive impairment (MCI). The platform combines standard serious games and cognitive stimulation leveraging virtual and augmented reality technologies. A double-arm, evaluator-blinded randomized controlled trial was conducted with 21 elderly participants in the MCI spectrum, with 11 in the intervention group (INT) and 10 in the control group (CTL). Feasibility was assessed in terms of adherence, effective learning, and perceived usefulness. The INT attended 24 training sessions, 60 minutes long, twice a week, whereas the CTL engaged in normal daily activities and usual care. Results showed that the INT had a statistically significant change in the Montreal Cognitive Assessment score, stages List B Recall, Short-term delayed Recall, and Long-term delayed Recall of the Rey Auditory Verbal Learning Test (RAVLT), Trail Making Test-A and B test scores, Digit Span Test (DST) Forward Span, and Functional Activities Questionnaire score. A trend level difference was also found for the RAVLT Recognition and the DST Backward Span. No significant differences were found for the CTL in any of the metrics. The completion rate of the INT was 91%, and the attendance rate was 100% for participants who completed the follow-up segment of the study. The engagement level was high, and effective learning was observed between the participants. The perceived usability and usefulness of the game platform was assessed as high. This study provides evidence of a positive effect of a multi-domain multimodal-based cognitive training program in elderly with MCI, with broader benefits on cognition by inducing more cooperative transfer effects over different domains.

Mobile applications for cognitive training: Content analysis and quality review

Background

As the number of individuals suffering from cognitive diseases continues to rise, dealing with the diminished cognitive function that comes with age has become a serious public health concern. While the use of mobile applications (apps) as digital treatments for cognitive training shows promise, the analysis of their content and quality remains unclear.

Objective

The aim of this study was to systematically search and assess cognitive training apps using the multidimensional mobile app rating scale (MARS) to rate objective quality and identify critical points.

Methods

A search was conducted on the Google Play Store and Apple App Store in February 2022 using the terms "cognitive training" and "cognitive rehabilitation." The cognitive domains provided by each app were analyzed, and the frequency and percentage according to the apps were obtained. The MARS, a mHealth app quality rating tool including multidimensional measures, was used to analyze the quality of the apps. The relationship between the MARS score, the number of reviews, and 5-star ratings were examined.

Results

Of the 53 apps, 52 (98 %) included memory function, 48 (91 %) included attention function, 24 (45 %) included executive function, and 19 (36 %) included visuospatial function. The mean (SD) scores of MARS, 5-star ratings, and reviews of 53 apps were 3.09 (0.61), 4.33 (0.30), and 62,415.43 (121,578.77). From the between-section comparison, engagement (mean 2.97, SD 0.68) obtained lower scores than functionality (mean 3.18, SD 0.62), aesthetics (mean 3.13, SD 0.72), and information (mean 3.11, SD 0.54). The mean quality score and reviews showed a statistically significant association (r = 0.447 and P = .001*). As the number of domains increased, the mean quality score showed a statistically significant increasing trend (P = .002*).

Conclusions

Most apps provided training for the memory and attention domains, but few apps included executive function or visuospatial domains. The quality of the apps improved significantly when more domains were provided, and was positively associated with the number of reviews received. These results could be useful for the future development of mobile apps for cognitive training.

Social connections and participation among people with mild cognitive impairment: barriers and recommendations

Objective

Social connections and participation are essential for individuals with mild cognitive impairment (MCI) to prevent the progression of cognitive decline and enhance their overall well-being. However, existing research has primarily focused on environmental barriers, overlooking personal factors and the interconnected nature of these barriers. Moreover, there is a lack of understanding regarding social connections and participation challenges specific to people with MCI in low- and middle-income countries. Therefore, this study aimed to explore the barriers that hinder social connections and participation among people with MCI in China and investigate opportunities to design appropriate supportive interventions.

Methods

Thirty-one people with MCI (13 males and 18 females; mean age = 82.74 years, SD = 7.69; mean MoCA score = 21.26, SD = 2.44) and 13 caregivers were recruited to attend focus groups. In addition, 10 therapists were interviewed using a semi-structured interview guide. Focus groups and interviews were audio-recorded, transcribed, and analyzed using a framework analysis approach.

Results

We found that the ability to build social connections among people with MCI is affected by mobility challenges, intensive grandparenting responsibilities, availability of suitable activities, and feelings of exclusion in a closed-minded community environment. Personal reasons, such as lower social efficacy, inability to find suitable social activities, and intensive family responsibilities, discourage people with MCI from social participation. The digital literacy of people with MCI depends on their motivation to learn and use digital tools; people with MCI who live in a community have a higher digital literacy than those living in care centers. The motivation to achieve digital literacy is affected by perceived benefits, costs of technology use, and social influence.

Conclusion

Multidimensional initiatives are needed to address barriers to social connections, participation, and technology adoption among individuals with MCI. This includes organizing and engaging in social activities, promoting awareness and education on the importance of social participation, and exploring technology-based interventions to improve memory and storytelling abilities. These efforts can create a supportive environment and empower individuals with MCI to participate actively in social interactions, enhancing their overall well-being.

Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment

Alzheimer's Disease (AZD) is a neurodegenerative disease for which there is now no known effective treatment. Mild cognitive impairment (MCI) is considered a precursor to AZD and affects cognitive abilities. Patients with MCI have the potential to recover cognitive health, can remain mildly cognitively impaired indefinitely or eventually progress to AZD. Identifying imaging-based predictive biomarkers for disease progression in patients presenting with evidence of very mild/questionable MCI (qMCI) can play an important role in triggering early dementia intervention. Dynamic functional network connectivity (dFNC) estimated from resting-state functional magnetic resonance imaging (rs-fMRI) has been increasingly studied in brain disorder diseases. In this work, employing a recent developed a time-attention long short-term memory (TA-LSTM) network to classify multivariate time series data. A gradient-based interpretation framework, transiently-realized event classifier activation map (TEAM) is introduced to localize the group-defining "activated" time intervals over the full time series and generate the class difference map. To test the trustworthiness of TEAM, we did a simulation study to validate the model interpretative power of TEAM. We then applied this simulation-validated framework to a well-trained TA-LSTM model which predicts the progression or recovery from questionable/mild cognitive impairment (qMCI) subjects after three years from windowless wavelet-based dFNC (WWdFNC). The FNC class difference map points to potentially important predictive dynamic biomarkers. Moreover, the more highly time-solved dFNC (WWdFNC) achieves better performance in both TA-LSTM and a multivariate CNN model than dFNC based on windowed correlations between timeseries, suggesting that better temporally resolved measures can enhance the model's performance.

Protocol for a systematic review of the effects of gardening physical activity on neuroplasticity and cognitive function

Background

The beneficial effects of gardening as a form of physical activity have garnered growing interest in recent years. Existing research suggests that physical activity enhances brain function through modifying synaptic plasticity, growth factor synthesis, and neurogenesis. Gardening physical activity is a promising, cost-effective, non-invasive intervention that can easily be augmented in the rehabilitation of neurodegenerative conditions. However, there is still insufficient literature. This protocol describes a systematic review to be conducted of scientific literature on the benefits of gardening as a physical activity that can promote neuroplasticity and improve cognitive function. This information can be useful as an intervention for persons who experience cognitive impairment brought on by cancer and chemotherapy in developing countries such as South Africa where there is real need to access cognitive rehabilitation.

Methods and analysis

The systematic review strategy will be conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. An electronic literature database search of MEDLINE (PubMed), Embase, Scopus, Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science will be carried out using medical search terms (MeSH), with English as the only permitted language, during the time period of January 2010 to December 2022. We will search for and review studies on how gardening as a physical activity impacts neuroplasticity and cognition. Two reviewers will read the titles, and abstracts and full text of the studies identified during the search to exclude records that do not meet the inclusion criteria. Data will then be extracted from the remaining studies. Any differences in opinion arising between the reviewers during the procedure will be resolved through discussion with a third reviewer. The Joanna Briggs Institute (JBI) Critical Appraisal Tool checklist will be utilized independently by two reviewers to evaluate the possibility of bias. The included articles will be subjected to narrative synthesis, with the results being presented in a thematic manner.

Ethics and dissemination

There are no need for ethical approval because no patient data will be gathered. The results will be disseminated through an open-access peer-reviewed indexed journal, presented scientific meetings.PROSPERO registration number: CRD42023394493.

Healthcare professionals' perception of using a web-based reminiscence therapy to support person with dementia during the COVID-19 pandemic

BACKGROUND

Reminiscence therapy (RT) is the most common non-pharmacological treatment for dementia care. The therapy stimulates the senses to evoke memories having the potential to reduce Behavioral and Psychological Symptoms of Dementia (BPSD). Digital RT, such as web-based reminiscence therapy (WBRT), has the potential to support dementia care and reduce the caregiving burden.

AIMS

This study aimed to explore healthcare professionals (HCPs) perceptions of utilizing WBRT in institutionalized settings to support persons with dementia during the COVID-19 pandemic.

METHODS

A qualitative phenomenological descriptive study was adopted and guided by Graham's Knowledge to Action framework. Online training on the use of WBRT was conducted, followed by interviews with HCPs.

RESULTS

Four major themes were identified on the potential use of WBRT in dementia care, including usability and efficacy, impact on caregiving, capability of reducing BPSD, and. feasibility during COVID-19 social distancing.

DISCUSSION

This study recognized the potential use of WBRT to support the person with dementia during the pandemic in institutionalized settings.

CONCLUSION

The knowledge generated from this study will guide the future application of WBRT to support dementia care in diverse healthcare settings.

A Model for Cognitive Personalization of Microtask Design

The study of data quality in crowdsourcing campaigns is currently a prominent research topic, given the diverse range of participants involved. A potential solution to enhancing data quality processes in crowdsourcing is cognitive personalization, which involves appropriately adapting or assigning tasks based on a crowd worker's cognitive profile. There are two common methods for assessing a crowd worker's cognitive profile: administering online cognitive tests, and inferring behavior from task fingerprinting based on user interaction log events. This article presents the findings of a study that investigated the complementarity of both approaches in a microtask scenario, focusing on personalizing task design. The study involved 134 unique crowd workers recruited from a crowdsourcing marketplace. The main objective was to examine how the administration of cognitive ability tests can be used to allocate crowd workers to microtasks with varying levels of difficulty, including the development of a deep learning model. Another goal was to investigate if task fingerprinting can be used to allocate crowd workers to different microtasks in a personalized manner. The results indicated that both objectives were accomplished, validating the usage of cognitive tests and task fingerprinting as effective mechanisms for microtask personalization, including the development of a deep learning model with 95% accuracy in predicting the accuracy of the microtasks. While we achieved an accuracy of 95%, it is important to note that the small dataset size may have limited the model's performance.

Association of nonpharmacological interventions for cognitive function in older adults with mild cognitive impairment: a systematic review and network meta-analysis

BACKGROUND

Understanding the effectiveness of nonpharmacological interventions to improve cognitive function in older adults with MCI and identifying the best intervention may help inform ideas for future RCT studies and clinical decision-making.

AIM

The main focus of this study was to assess the comparative effectiveness of nonpharmacological interventions on cognitive function in older adults with MCI and to rank the interventions.

METHODS

RCT studies until September 2022 were searched from six databases, including PubMed, the Cochrane Library, Embase, Web of Science, PsycINFO and CINAHL. The risk of bias in eligible trials was evaluated using the Cochrane Risk of Bias tool. Both pairwise and network meta-analyses were used, and pooled effect sizes were reported using SMD and the corresponding 95% confidence intervals.

RESULTS

A total of 28 RCT studies were included in this study, pooling 18 categories of nonpharmacological interventions. MBE (mind-body exercise) (SMD (standard mean difference): 0.24, 95% CI: 0.08-0.41, P = 0.004), DTE (dual-task exercise) (SMD: 0.61, 95% CI: 0.09-1.13, P = 0.02), PE (physical exercise) (SMD: 0.58, 95% CI: 0.04-1.12, P = 0.03) may be effective in improving cognitive function in older adults with MCI. Acupressure + CT (cognitive training) was the top-ranked intervention among all interventions. No greater benefits of MA (mindful awareness) on cognitive function were found.

CONCLUSIONS

Overall, nonpharmacological interventions significantly improved cognitive function in older adults with MCI. Acupressure + CT(cognitive training) was the most effective intervention for managing cognitive impairment. Future studies with high quality and large sample size RCT studies are needed to confirm our results.

Efficacy of a Mobile-Based Multidomain Intervention to Improve Cognitive Function and Health-Related Outcomes Among Older Korean Adults with Subjective Cognitive Decline

BACKGROUND

Subjective cognitive decline (SCD) is a self-reported experience of declining cognitive function showing normal performance in cognitive assessments, which is a known risk factor for dementia. Recent studies highlight the importance of nonpharmacological multidomain interventions that can target multiple risk factors of dementia in older adults.

OBJECTIVE

This study investigated the efficacy of the Silvia program, a mobile-based multidomain intervention, to improve cognitive function and health-related outcomes of older adults with SCD. We compare its effects to a conventional paper-based multidomain program on various health indicators related to risk factors of dementia.

METHODS

This prospective randomized controlled trial involved 77 older adults with SCD recruited from the Dementia Prevention and Management Center in Gwangju, South Korea during May to October 2022. Participants were randomly assigned to either the mobile- or paper-based group. Interventions were administered for 12 weeks, where pre- and post-assessments were conducted.

RESULTS

The K-RBANS total score did not show significant differences between groups. The mobile group showed better improvement in K-PRMQ scores and PSS scores than the paper group. Differences within groups showed that mobile-based interventions significantly improved K-PRMQ, STAI-X-1, PSS, and EQ-5D-5 L scores, while paper-based interventions significantly improved PSS, and EQ-5D-5 L scores. Patient adherence rate was 76.6%.

CONCLUSION

Overall, the Silvia program was effective for improving self-reported memory failures, stress, anxiety, and health-related quality of life in older adults with SCD. However, longer periods of administration for more than 12 weeks may be needed to achieve significant improvements in cognitive function by objective measures.

Managing challenging behaviours in adults with traumatic brain injury: A scoping review of technology-based interventions

Challenging behaviours are one of the most serious sequelae after a traumatic brain injury (TBI). These chronic behaviours must be managed to reduce the associated burden for caregivers, and people with TBI. Though technology-based interventions have shown potential for managing challenging behaviours, no review has synthesised evidence of technology aided behaviour management in the TBI population. The objective of this scoping review was to explore what technology-based interventions are being used to manage challenging behaviours in people with TBI. Two independent reviewers analysed 3505 studies conducted between 2000 and 2023. Studies were selected from five databases using search strategies developed in collaboration with a university librarian. Sixteen studies were selected. Most studies used biofeedback and mobile applications, primarily targeting emotional dysregulation. These technologies were tested in a variety of settings. Two interventions involved both people with TBI and their family caregivers. This review found that technology-based interventions have the potential to support behavioural management, though research and technology development is at an early stage. Future research is needed to further develop technology-based interventions that target diverse challenging behaviours, and to document their effectiveness and acceptability for use by people with TBI and their families.

Artificial intelligence in elderly healthcare: A scoping review

The ageing population has led to a surge in the adoption of artificial intelligence (AI) technologies in elderly healthcare worldwide. However, in the advancement of AI technologies, there is currently a lack of clarity about the types and roles of AI technologies in elderly healthcare. This scoping review aimed to provide a comprehensive overview of AI technologies in elderly healthcare by exploring the types of AI technologies employed, and identifying their roles in elderly healthcare based on existing studies. A total of 10 databases were searched for this review, from January 1 2000 to July 31 2022. Based on the inclusion criteria, 105 studies were included. The AI devices utilized in elderly healthcare were summarised as robots, exoskeleton devices, intelligent homes, AI-enabled health smart applications and wearables, voice-activated devices, and virtual reality. Five roles of AI technologies were identified: rehabilitation therapists, emotional supporters, social facilitators, supervisors, and cognitive promoters. Results showed that the impact of AI technologies on elderly healthcare is promising and that AI technologies are capable of satisfying the unmet care needs of older adults and demonstrating great potential in its further development in this area. More well-designed randomised controlled trials are needed in the future to validate the roles of AI technologies in elderly healthcare.

HomeCoRe system for telerehabilitation in individuals at risk of dementia: A usability and user experience study

Background

Telerehabilitation has enabled a broader application of cognitive rehabilitation programs. We have recently developed HomeCoRe, a system for supporting cognitive intervention remotely with the assistance of a family member. The main goal of the present study was to determine usability and user experience of HomeCoRe in individuals at risk of dementia and in their family members. The association between subjects' technological skills and main outcome measures was evaluated as well.

Methods

Fourteen individuals with subjective cognitive decline (SCD) or mild neurocognitive disorder (mNCD) were recruited to participate in this pilot study. All participants received a touch-screen laptop implemented with the HomeCoRe software. The intervention consisted of 18 sessions and included a patient-tailored adaptive protocol of cognitive exercises. Usability was assessed in terms of treatment adherence and participants' performance across sessions; user experience via self-reported questionnaires and a descriptive diary.

Results

Usability and user experience were overall satisfactory and suggested usability, pleasantness, and high motivation while using HomeCoRe. Technological skills correlated only with the perceived ability to start and/or perform exercises autonomously.

Discussion

These results, although preliminary, suggest that the usability and user experience of HomeCoRe are satisfactory and independent of technological skills. These findings encourage wider and more systematic use of HomeCoRe to overcome the current limitations of in-person cognitive rehabilitation programs and to reach more individuals at risk of dementia.

Neuropsychiatric Symptoms after Liver Transplantation in a 65-Year-Old Male Patient

The development of immunosuppressants has been key for the advancement of solid organ transplant surgery. Specifically, cyclosporine, tacrolimus, or everolimus have significantly increased the survival rate of patients by reducing the risk of a rejection of the transplanted organ and limiting graft-versus-host disease. We report the case of a 65-year-old man who, after undergoing a liver transplantation and receiving an immunosuppressive treatment with cyclosporine and everolimus, presented severe obsessive, psychotic, and behavioral symptoms over the past three years, and describe the pharmacological and non-pharmacological interventions implemented against these symptoms. In this case, the immunosuppressants used have been cyclosporine and, preferably, everolimus. On the other hand, potential adverse reactions to the treatment have been observed, including neuropsychiatric symptoms such as tremor, anxiety, dysthymia, psychosis, and behavioral disorders, which make it necessary to use corrective psychoactive drugs such as benzodiazepines, antidepressants, and antipsychotics, combined with non-pharmacological interventions. A transversal approach, from the medical and psychosocial disciplines, facilitates success in managing neuropsychiatric symptoms after soft organ transplants.

Effect of mHealth plus occupational therapy on cognitive function, mood and physical function in people after cancer: Secondary analysis of a randomized controlled trial

BACKGROUND

Medical and surgical treatments for breast cancer have various adverse effects. Both mobile health and supervised intervention strategies have been implemented to overcome these effects, but some gaps remain to be addressed. Scientific evidence for the effectiveness of occupational therapy in cancer is limited.

OBJECTIVE

To compare the clinical effectiveness of the BENECA mHealth app used alone or combined with an integral supervised rehabilitation strategy that focused on cognitive performance, mood state, functional capacity, and cancer-related pain and fatigue in overweight women after breast cancer.

METHODS

In this secondary analysis of an assessor-blinded randomized controlled clinical trial, 80 overweight women after breast cancer (stage I-IIIA) were randomly allocated to an integral approach group (IA; n=40) or a control group (CG; n=40). All participants participated in an 8-week intervention. Assessments were performed at baseline, 8 weeks, and 6 months and included cognitive performance (Trial Making Test and Wechsler Adult Intelligence Scale), psychological state (Hospital Anxiety and Depression Scale), pain (Brief Pain Inventory), fatigue (Piper Fatigue Scale), and physical function (6 min walk test). An intention-to-treat analysis was conducted with analysis of covariance.

RESULTS

Selective attention (TMT) was significantly higher in the IA group, with a moderate to large effect size for TMT A (T2: d=1.1; T 3: d=1.2), working memory and processing speed (WAIS), anxiety and general HADS score (d=1.6), and functional capacity at 8 weeks and 6 months (d=1.5). Fatigue perception (mean difference, -0.6; 95% CI -1.4 to 0.04; p=0.009) and pain (intensity level p<0.001; interference level p=0.002) were also significantly more improved in the IA group.

CONCLUSIONS

An integral strategy involving the BENECA mHealth app with a supervised, multimodal intervention improved cognitive, psychological, and functional performance in women after breast cancer more than mHealth alone. Occupational therapy has a role to play in breast cancer rehabilitation.

The Effect of Daily Practice of Puzzle-Game Apps on Cognition in Two Groups of Older Adults: A Pre-Post Experimental Study

There is an urgent need for non-pharmacological cognitive interventions to delay the onset and modify the progression of the cognitive deterioration of older adults with early stages of cognitive decline. 'Tablet Enhancement of Cognition and Health' (TECH) is such an intervention. We aimed to assess the suitability of TECH for older adults with and without mild cognitive impairment (MCI). Specifically, we wanted to explore the feasibility and to determine the initial effectiveness of TECH for older adults with Pre-Mild Cognitive Impairment (pre-MCI) as well as with MCI. This is pre-post experimental design, including two groups of older adults. Feasibility included group session attendance (adherence), self-training time (compliance), and satisfaction from the TECH intervention. The Montreal Cognitive Assessment (MoCA) assessed global cognition and the WebNeuro computerized battery assessed specific cognitive components. Twenty-eight participants with MCI (8 women, aged 65-87), and ten participants with pre-MCI (5 women, aged 65-86) participated in TECH. High adherence, compliance, and satisfaction were reported by both groups. Memory recall improved for the MCI group (z = -2.7 p = 0.006). In addition, for the MoCA an intermediate effect size (Cohen's d = 0.52) and a small effect (Cohen's d = 0.18) were found for the MCI and pre-MCI groups, respectively. Large to small effect size values for WebNeuro cognitive components were found for both groups. Both groups of older adults were motivated, performed daily self-training, which gave them enjoyment and a sense of control. TECH seems to have potential to preserve cognition over time. Additional research with a longer follow-up is needed to determine whether TECH can prevent cognitive decline in older adults with MCI but especially with pre-MCI.

Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy

As the population ages, the number of older adults experiencing mild cognitive impairment (MCI), Alzheimer's disease, and other forms of dementia will increase dramatically over the next few decades. Unfortunately, cognitive changes associated with these conditions threaten independence and quality of life. To address this, researchers have developed promising cognitive training interventions to help prevent or reverse cognitive decline and cognitive impairment. However, the promise of these interventions will not be realized unless older adults regularly engage with them over the long term, and like many health behaviors, adherence to cognitive training interventions can often be poor. To maximize training benefits, it would be useful to be able to predict when adherence lapses for each individual, so that support systems can be personalized to bolster adherence and intervention engagement at optimal time points. The current research uses data from a technology-based cognitive intervention study to recognize patterns in participants' adherence levels and predict their future adherence to the training program. We leveraged the feature learning capabilities of deep neural networks to predict patterns of adherence for a given participant, based on their past behavior. A separate, personalized model was trained for each participant to capture individualistic features of adherence. We posed the adherence prediction as a binary classification problem and exploited multivariate time series analysis using an adaptive window size for model training. Further, data augmentation techniques were used to overcome the challenge of limited training data and enhance the size of the dataset. To the best of our knowledge, this is the first research effort to use advanced machine learning techniques to predict older adults' daily adherence to cognitive training programs. Experimental evaluations corroborated the promise and potential of deep learning models for adherence prediction, which furnished highest mean F-scores of 75.5, 75.5, and 74.6% for the Convolution Neural Network (CNN), Long Short-Term Memory (LSTM) network, and CNN-LSTM models respectively.

Effectiveness of Computerized Cognitive Training in Delaying Cognitive Function Decline in People With Mild Cognitive Impairment: Systematic Review and Meta-analysis

Background

With no current cure for mild cognitive impairment (MCI), delaying its progression could significantly reduce the disease burden and improve the quality of life for patients with MCI. Computerized cognitive training (CCT) has recently become a potential instrument for improvement of cognition. However, the evidence for its effectiveness remains limited.

Objective

This systematic review aims to (1) analyze the efficacy of CCT on cognitive impairment or cognitive decline in patients with MCI and (2) analyze the relationship between the characteristics of CCT interventions and cognition-related health outcomes.

Methods

A systematic search was performed using MEDLINE, Cochrane, Embase, Web of Science, and Google Scholar. Full texts of randomized controlled trials of CCT interventions in adults with MCI and published in English language journals between 2010 and 2021 were included. Overall global cognitive function and domain-specific cognition were pooled using a random-effects model. Sensitivity analyses were performed to determine the reasons for heterogeneity and to test the robustness of the results. Subgroup analyses were performed to identify the relationship between the characteristics of CCT interventions and cognition-related effectiveness.

Results

A total of 18 studies with 1059 participants were included in this review. According to the meta-analysis, CCT intervention provided a significant but small increase in global cognitive function compared to that in the global cognitive function of the control groups (standardized mean difference=0.54, 95% CI 0.35-0.73; I2=38%). CCT intervention also resulted in a marginal improvement in domain-specific cognition compared to that in the control groups, with moderate heterogeneity. Subgroup analyses showed consistent improvement in global cognitive behavior in the CCT intervention groups.

Conclusions

This systematic review suggests that CCT interventions could improve global cognitive function in patients with MCI. Considering the relatively small sample size and the short treatment duration in all the included studies, more comprehensive trials are needed to quantify both the impact of CCT on cognitive decline, especially in the longer term, and to establish whether CCT should be recommended for use in clinical practice.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42021278884; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=278884

Cognitive Benefits of Physical Exercise, Physical-Cognitive Training, and Technology-Based Intervention in Obese Individuals with and without Postmenopausal Condition: A Narrative Review

Obesity and estrogen deprivation have been identified as significant risk factors for cognitive impairment. Thus, postmenopausal conditions when paired with obesity may amplify the risks of developing dementia. Physical exercise has been recommended as a primary treatment for preventing obesity-related comorbidities and alleviating menopausal symptoms. This narrative review aimed to summarize the effects of exercise on cognition in obese individuals with and without menopausal condition, along with potential physiological mechanisms linking these interventions to cognitive improvement. Research evidence has demonstrated that exercise benefits not only physical but also cognitive and brain health. Among various types of exercise, recent studies have suggested that combined physical-cognitive exercise may exert larger gains in cognitive benefits than physical or cognitive exercise alone. Despite the scarcity of studies investigating the effects of physical and combined physical-cognitive exercise in obese individuals, especially those with menopausal condition, existing evidence has shown promising findings. Applying these exercises through technology-based interventions may be a viable approach to increase accessibility and adherence to the intervention. More evidence from randomized clinical trials with large samples and rigorous methodology is required. Further, investigations of biochemical and physiological outcomes along with behavioral changes will provide insight into underlying mechanisms linking these interventions to cognitive improvement.

Elevated Anxious and Depressed Mood Relates to Future Executive Dysfunction in Older Adults: A Longitudinal Network Analysis of Psychopathology and Cognitive Functioning

Vulnerability models posit that executive-functioning (EF) problems centrally affect future common (vs. rare) psychopathology symptoms. Conversely, scar theory postulates that depression/anxiety (vs. other psychopathology) symptoms centrally influence reduced EF. However, most studies so far have been cross-sectional. We used cross-lagged panel network analysis to determine temporal and component-to-component relations on this topic. Community older adults participated across four time points. Cognitive tests and the caregiver-rated Neuropsychiatric Inventory assessed nine psychopathology and eight cognitive-functioning nodes. Nodes with the highest bridge expected influence cross-sectionally were agitation and episodic memory. Episodic memory had the strongest inverse relation with age. Agitation had the strongest negative association with global cognition. EF nodes tended to be centrally affected by prior depressed and anxious moods rather than influential on any future nodes. Heightened anxious and depressed mood (vs. other nodes) centrally predicted future decreased EF-related (vs. non-EF-related) nodes in older adults, supporting scar (vs. vulnerability) theory.

Artificial Cognitive Systems Applied in Executive Function Stimulation and Rehabilitation Programs: A Systematic Review

This article presents a systematic review of studies on cognitive training programs based on artificial cognitive systems and digital technologies and their effect on executive functions. The aim has been to identify which populations have been studied, the characteristics of the implemented programs, the types of implemented cognitive systems and digital technologies, the evaluated executive functions, and the key findings of these studies. The review has been carried out following the PRISMA protocol; five databases have been selected from which 1889 records were extracted. The articles were filtered following established criteria, to give a final selection of 264 articles that have been used for the purposes of this study in the analysis phase. The findings showed that the most studied populations were school-age children and the elderly. The most studied executive functions were working memory and attentional processes, followed by inhibitory control and processing speed. Many programs were commercial, customizable, gamified, and based on classic tasks. Some more recent initiatives have begun to incorporate user-machine interfaces, robotics, and virtual reality, although studies on their effects remain scarce. The studies recognize multiple benefits of computerized neuropsychological stimulation and rehabilitation programs for executive functions in different age groups, but there is a lack of studies in specific population sectors and with more rigorous research designs.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13369-022-07292-5.

A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training

Adequate adherence is a necessary condition for success with any intervention, including for computerized cognitive training designed to mitigate age-related cognitive decline. Tailored prompting systems offer promise for promoting adherence and facilitating intervention success. However, developing adherence support systems capable of just-in-time adaptive reminders requires understanding the factors that predict adherence, particularly an imminent adherence lapse. In this study we built machine learning models to predict participants' adherence at different levels (overall and weekly) using data collected from a previous cognitive training intervention. We then built machine learning models to predict adherence using a variety of baseline measures (demographic, attitudinal, and cognitive ability variables), as well as deep learning models to predict the next week's adherence using variables derived from training interactions in the previous week. Logistic regression models with selected baseline variables were able to predict overall adherence with moderate accuracy (AUROC: 0.71), while some recurrent neural network models were able to predict weekly adherence with high accuracy (AUROC: 0.84-0.86) based on daily interactions. Analysis of the post hoc explanation of machine learning models revealed that general self-efficacy, objective memory measures, and technology self-efficacy were most predictive of participants' overall adherence, while time of training, sessions played, and game outcomes were predictive of the next week's adherence. Machine-learning based approaches revealed that both individual difference characteristics and previous intervention interactions provide useful information for predicting adherence, and these insights can provide initial clues as to who to target with adherence support strategies and when to provide support. This information will inform the development of a technology-based, just-in-time adherence support systems.

The application of technology to improve cognition in older adults: A review and suggestions for future directions

The rapidly increasing worldwide population of older adults, along with the increasing prevalence of cognitive impairment and dementia in this population, is a growing health‐care problem. As such, advances in technology‐based cognitive interventions and games are playing an increasingly key role in preserving and improving older adults' cognitive function, especially during the COVID‐19 pandemic when opportunities for face‐to‐face activities or training are few. In this paper, we summarize from previous studies systematic reviews and meta‐analyses on the various types of technology used in cognitive interventions (namely, computerized cognitive training, virtual‐reality interventions and robot‐assisted interventions) and the empirical evidence on the effects of these technologies on global and specific cognitive functions in healthy and clinical populations of older adults (e.g., older adults with mild cognitive impairment or dementia). We also describe older adults' perceptions, experiences and acceptance of these technologies. Finally, we discuss the limitations, challenges and future avenues of research in this field.

Effects of cognitive interventions on quality of life among adults with mild cognitive impairment: A systematic review and meta-analysis of randomised controlled trials

BACKGROUND

There is considerable research exploring the impact of cognitive interventions on cognition in people with mild cognitive impairment (MCI). However, the impact on quality of life (QOL) is not routinely reported. As QOL is a key predictor of health outcomes, it is important to determine the evidence supporting cognitive interventions for improving QOL in people with MCI.

OBJECTIVE

To evaluate the evidence on the effectiveness of cognitive interventions for improving QOL among people with MCI.

DESIGN

Systematic review and meta-analysis.

METHODS

A systematic database search was conducted from inception to December 11, 2021, using four databases. Quality assessment was conducted, and data on the characteristics of the studies and the effects on QOL were extracted. Subgroup analyses and meta-regression were conducted to elucidate the effects of potential moderator variables on QOL measures.

RESULTS

Of the 1550 records initially identified, 17 studies met the criteria for the final meta-analysis. The findings revealed that cognitive interventions produced moderate gains in overall QOL compared to the control group at the posttest (standardized mean difference (SMD): 0.53, 95% confidence interval (CI): [0.23, 0.84]), but no statistically significant differences were found at the end of follow-up (SMD: 0.40, 95% CI: [-0.15,0.94]). Furthermore, the effects of cognitive interventions were moderated by intervention duration, session duration, and study location. However, intervention types, session frequency, intervention components, control condition, total number of sessions, types of QOL measures, and responders to QOL-AD had no statistically significant effects on QOL outcome.

CONCLUSIONS

Cognitive interventions have positive effects on QOL among adults with MCI. However, the high heterogeneity of the included studies calls for more well-designed cognitive intervention trials to examine the association between QOL and relevant moderators.

Computerised cognitive training tools and online nutritional group counselling for people with mild cognitive impairment: study protocol of a completely digital, randomised, controlled trial

INTRODUCTION

People with mild cognitive impairment (MCI) are at increased risk of decreasing cognitive functioning. Computerised cognitive training (CCT) and nutrition have been shown to improve the cognitive capacities of people with MCI. For each variable, we developed two kinds of interventions specialised for people with MCI (CCT: 'individualised' CCT; nutrition: a whole-food, plant-based diet). Additionally, there are two kinds of active control measures (CCT: 'basic' CCT; nutrition: a healthy diet following the current guidelines of the German Nutrition Society). The aim of this study is to investigate the effects of the two interventions on cognition in people with MCI in a 2×2 randomised controlled trial with German participants.

METHODS AND ANALYSIS

Participants will be community-dwelling individuals with a psychometric diagnosis of MCI based on the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination. With N=200, effects with an effect size of f≥0.24 (comparable to Cohen's d≥0.48) can be detected. Screening, baseline, t6 and t12 testing will be conducted via a videoconferencing assessment, telephone, and online survey. Participants will be randomly allocated to one of four groups and will receive a combination of CCT and online nutritional counselling. The CCT can be carried out independently at home on a computer, laptop, or tablet. Nutrition counselling includes 12 online group sessions every fortnight for 1.5 hours. The treatment phase is 6 months with follow-ups after six and 12 months after baseline.

ETHICS AND DISSEMINATION

All procedures were approved by the Friedrich-Alexander-Universität Erlangen-Nürnberg Ethics Committee (Ref. 21-318-1-B). Written informed consent will be obtained from all participants. Results will be published in peer-reviewed scientific journals, conference presentations.

TRIAL REGISTRATION NUMBER

ISRCTN10560738.

Applicability of an Immersive Virtual Reality Exercise Training System for Office Workers during Working Hours

Virtual reality is a computer-generated simulation of a real or imaginary three-dimensional environment that has entered our lives, particularly for gaming. Lately, it has been permeating into many aspects of our everyday life, such as exercise. It is important to ascertain whether exercise in an immersive virtual reality environment can be accepted from employees and lead to positive outcomes for them. The aim of this exploratory study was to examine the acceptance, future adoption, interest/enjoyment and usability of an immersive virtual reality system for exercise training by office workers during breaks within their working hours. A total of 40 female employees participated in the study with a mean age of 42.58 years (SD 10.77). Participants were requested to complete two sequential 15-min dual task cycling sessions corresponding to two experimental conditions. The first, condition A, involved cycling in a virtual environment, wearing a virtual reality head mounted display, and responding to cognitive tasks by answering multiple choice questions—on a screen, using a joystick. The second, condition B, involved cycling on a static bicycle and simultaneously responding to cognitive tasks by answering multiple choice questions in a real environment. After completion of the two conditions, participants responded to a series of scales regarding each of the experimental conditions and to a semi-structured interview. The results showed that participants noted a significant preference for the immersive virtual reality exercise, condition A, compared to condition B (bike only); and their acceptance, interest/enjoyment, usability and intention for future use were high. The qualitative data showed increased intention for future use, feelings of control and presence and most of the participants did not encounter any difficulties or require extra help to understand the immersive virtual reality system. Overall, exercising during working hours with an immersive virtual reality exercise system was well perceived by office workers and applicable. However, the effects of the immersive virtual reality training system on physical and mental health and the employees’ adherence to the exercise program should be tested with a longer intervention program.

Individualised computerised cognitive training for community-dwelling people with mild cognitive impairment: study protocol of a completely virtual, randomised, controlled trial

Background

People with mild cognitive impairment (MCI) are at increased risk of converting to dementia. Cognitive training can improve the cognitive abilities of people with MCI. Computerised cognitive training (CCT) offers several advantages over traditional paper-and-pencil cognitive training and has the potential to be more individualised by matching task difficulty with individual performance. Recent systematic reviews have reported promising effects of CCT on improving the cognitive capacities of people with MCI. However, the quality of existing studies has been limited, and it is still unclear whether CCT can influence the progression to dementia. We developed an ‘individualised’ CCT (MAKSCog) specialised for people with MCI that automatically matches task difficulty with individual performance and an active control training (‘basic’ CCT). The aims of the present study are (a) to evaluate MAKSCog and (b) to investigate whether it can be applied to maintain the cognitive abilities of people with MCI.

Methods

The present study investigates the effects of CCT on cognition in a randomised controlled intervention study in Germany. Participants are community-dwelling people with a psychometric diagnosis of MCI based on the Montreal Cognitive Assessment (MoCA) and Mini-Mental Status Test (MMSE). Screening and baseline testing are conducted via a videoconferencing assessment and telephone. Participants are randomly allocated. The treatment phase is 6 months with an open phase in which participants can freely decide to continue to use the CCTs. Additionally, both CCTs contain a monthly computerised cognitive assessment that measures different cognitive abilities: information processing speed, memory span, short term memory, and logical reasoning.

Discussion

This is the first study to investigate the effect of MAKSCog, an individualised CCT, specifically developed for people with different subtypes of MCI. A methodological strength is the double-blind, randomised, controlled design and the use of basic CCT as an active control group. The study is conducted entirely virtually with valid telehealth assessments for cognitive function. Methodological limitations might include a restriction to participants who feel comfortable with the use of technology and who own a computer, laptop, or tablet.

Trial registration

ISRCTN ISRCTN14437015. Prospectively registered on 27 February 2020.

The Cognition and Flow Study (CogFlowS): A Mixed Method Evaluation of a Randomized Feasibility Trial of Cognitive Training in Dementia

Background: Cognitive training (CT) may be beneficial in delaying the onset or slowing dementia progression. CT has been evaluated quantitatively and qualitatively, but none have used mixed methods approaches. Objective: The aim of this study was to use a mixed methods approach to identify those who may selectively benefit from CT. Methods: This was an explanatory sequential mixed methods study involving a quantitative randomized trial of 12 weeks multi-domain CT in healthy older adults (HC, n = 20), and people living with mild cognitive impairment (MCI; n = 12) and dementia (n = 24). Quantitative outcomes included: cognition, mood, quality of life, and activities of daily living. 28 (10 HC, 6 MCI, 12 dementia) training participants completed semi-structured interviews with their carer. Quantitative and qualitative data were integrated using joint displays. Results: Three participants dropped out from the training early-on, leaving 25 participants with follow-up data for full integration (10 HC, 6 MCI, 9 dementia). Dropouts and lower adherence to training were more common in dementia participants with greater non-modifiable barriers. High adherers were more resilient to negative emotions, and poorer or fluctuating performance. Integrated analysis found the majority of participants (n = 24) benefited across outcomes, with no clear profile of individuals who benefited more than others. Participants made a number of key recommendations to improve adherence and minimize dropout to CT. Conclusion: Reasons for dropout and low adherence were identified, with recommendations provided for the design of CT for dementia. An individual approach to training should be adopted and low adherence should not preclude engagement with CT.

Non-Pharmacological Treatments of Neuropsychiatric Symptoms in Mild Cognitive Impairment (MCI)

Mild cognitive impairment (MCI) is a syndrome defined by objective cognitive deficits that do not impact functional independence. Individuals with MCI develop dementia at an annual rate of 10 to 15%. Neuropsychiatric symptoms (NPS) are common non-cognitive features of neurocognitive disorders and have a major impact on the wellbeing and quality of life of affected individuals and their families. Non-pharmacological interventions for NPS are considered the first-line treatment because of the limited efficacy and side-effect potential of current pharmacological agents. This article summarizes the literature on non-pharmacological treatments for NPS in MCI. The limited number of studies specific to individuals with MCI and its various etiologies, as well as the overall heterogeneity of research design and methodologies, make the evidence base inconclusive. Nevertheless, some studies support psychosocial interventions aimed at individuals with MCI and their caregivers.