Computerized Cognitive Training: A Review of Mechanisms, Methodological Considerations, and Application to Research in Depression

Cognitive Deficits in Late-Life Depression: From Symptoms and Assessment to Therapeutics

Cognitive symptoms and deficits are core features of late-life depression (LLD), with an estimated 20%-50% of affected individuals meeting diagnostic criteria for mild cognitive impairment (MCI). Cognitive deficits, especially executive dysfunction, have consistently been associated with poorer treatment outcomes among people with LLD. Furthermore, distinguishing depression with cognitive complaints or cognitive impairment from the early stages of Alzheimer's disease (AD) can be challenging. Cognitive concerns are often emphasized among those with LLD, although, paradoxically, their description of memory difficulty may include detailed recall of specific memory lapses. Conversely, people with AD often have limited insight into their progressive cognitive decline, minimizing and concealing their cognitive difficulties. Neuropsychological assessment is one of the most useful means of clarifying this differential diagnosis. A subcortical cognitive pattern is commonly observed among people with LLD, including psychomotor slowing, variable attention, and executive dysfunction, which can affect memory encoding and free recall. A broad range of therapeutic approaches have been applied to older adults experiencing LLD along with cognitive symptoms, MCI, or dementia. Most studies focus on treatments to address LLD or MCI, with relatively fewer examining treatments specifically at this intersection. Nonpharmacological strategies, including aerobic exercise, cognitive remediation, and neuromodulation, are highly recommended to improve both depression and cognition. Antidepressants may have benefits for elements of cognition among people with LLD, but they have less evidence for their efficacy for people with cognitive deficits and dementia. This review provides an updated conceptual and practical framework for clinicians evaluating and treating LLD.

EEG-Based Engagement Monitoring in Cognitive Games

Cognitive decline and dementia prevention are global priorities, with cognitive rehabilitation games showing potential to delay their onset or progression. However, these games require sufficient user engagement to be effective. Assessing the engagement through questionnaires is challenging for the individuals suffering from cognitive decline due to age or dementia. This study aims to explore the relationship between game difficulty levels, three EEG engagement indices (β/(θ + α), β/α, 1/α), and the self-reported flow state scale score during video gameplay, and to develop an accurate machine learning algorithm for the classification of user states into high- and low-engagement. Twenty-seven participants (nine older adults) played a stunt plane video game while their EEG signals were recorded using EPOCX. They also completed the flow state scale for occupational tasks questionnaire after the easy, optimal, and hard levels of gameplay. Self-reported engagement scores significantly varied across the difficulty levels (p = 0.027), with the optimal level yielding the highest scores. Combining the three EEG indices achieved the best performance, with F1 scores of 89% (within-subject) and 81% (cross-subject). Engagement classification F1 scores were 90% for young adults and 85% for older adults. The findings provide preliminary data that supports using EEG data for engagement analysis in adults and older adults.

Non-pharmaceutical interventions for people living with HIV with cognitive impairment: A scoping review

BACKGROUND

Cognitive impairment (CI) in HIV is often of multifactorial causation, and remains a prominent issue in the age of effective combination antiretroviral therapy (cART), affecting approximately 14% of people living with HIV. Despite the 2018 BHIVA directive stating the importance of commencing rehabilitation strategies in people living with HIV with CI, no types of cognitive rehabilitations or other non-pharmaceutical interventions are specifically recommended. This scoping review aimed to describe the types of and evidence relating to the non-pharmaceutical interventions which have been examined in people living with HIV with CI.

METHODS

Studies were identified from five electronic databases. Criteria for study inclusion were studies describing a non-pharmaceutical intervention published after 1st January 2000 in English, in a population of adults living with HIV with CI detected at baseline, without significant psychiatric or substance-misuse co-morbidity.

RESULTS

Fourteen studies met the criteria for inclusion, with the Frascati criteria most commonly used to define CI within participant populations. The median intervention length was 12 weeks (IQR = 6.5). Nine studies investigated interventions with some component of computerised cognitive training (CCT); other interventions included diet, exercise and goal management training. Studies most commonly examined neurocognitive outcomes, but also considered other outcomes including quality of life, depressive symptomatology, intervention acceptability and cART adherence. Eight studies observed improvement in cognition with CCT, with effects often maintained for several weeks post-intervention, however, results were not always statistically significant. Self-reported cognitive improvement and intervention acceptability was high amongst participants completing CCT.

CONCLUSIONS

There was heterogeneity across studies not only in intervention type, but in diagnostic tools used, the chosen outcome measures and cognitive batteries, making comparison difficult. Findings, however, indicate that CCT interventions may produce benefits in cognition and are acceptable to patients. Further research is required in larger samples, alongside identifying specific intervention components that improve outcomes.

Effect of computerized cognitive training on mood, cognition, and serum brain-derived neurotrophic factor level in late-life depression - a pilot randomized controlled trial

Background

The aim of this pilot randomized controlled trial was to test the feasibility of a computerized cognitive training targeting executive dysfunction in late-life depression and to investigate its impact on mood, cognition, and brain-derived neurotrophic factor (BDNF) levels.

Methods

A total of 28 community-living Chinese individuals aged 55-75 with moderate-to-severe depression and cognitive symptoms (but without mild cognitive impairment or dementia) were recruited from a community centre in Hong Kong. Participants were randomly allocated to either the experimental (receiving computerized cognitive training) or the control group (receiving computer-based health education). Both programs lasted for one hour and were conducted twice a week for 6 weeks at the community centre. We assessed mood using the Hamilton Rating Scale for Depression (HAM-D) and Patient Health Questionaire-9 (PHQ-9), cognition using the Montreal Cognitive Assessment (MoCA), and serum BDNF levels at baseline and follow-up. We performed repeated measures analysis of variance to compare the differences in outcome changes between groups and correlation analysis to test if changes in mood and cognition correlated with changes in BDNF level.

Results

Our sample had a mean age of 66.8 (SD = 5.3) years, a mean HAM-D score of 19.4 (SD = 7.5), and a mean PHQ-9 score of 18.0 (SD = 6.3). No adverse effects were reported. Significant differences were observed between the experimental and control groups in changes in HAM-D (-8.4 vs. -2.9; group difference = -5.5; p = 0.01), PHQ-9 (-6.6 vs. -0.6; -6.0; p < 0.001), MoCA (1.4 vs. -1.3; 2.7; p = 0.001), and serum BDNF levels (in pg/ml; 2088.3 vs. -3277.4; 5365.6; p = 0.02). Additionally, changes in HAM-D, PHQ-9, and MoCA scores correlated significantly with changes in BDNF level.

Conclusion

With computerized cognitive training improving mood and cognition and increasing serum BDNF levels in 6 weeks, it may serve as a safe and effective evidence-based alternative or adjuvant treatment for late-life depression.

Clinical trial registration

https://www.chictr.org.cn/indexEN.html, identifier ChiCTR1900027029.

Gamification improves antidepressant effects of cognitive control training-A pilot trial

OBJECTIVE

Computerised cognitive trainings have been put forward to improve control over negatively biased information processing and associated depressive symptomatology. Yet, disease-related impairments of motivation and endurance, as well as insufficient accessibility hinder use of this promising therapeutic opportunity. Here, we developed an app (de:)press^© ) that utilizes a cognitive control training (paced auditory serial addition task) enriched with gamification and information elements. We compared a six-week training with de:)press^© to a non-gamified version (active control group).

METHODS

Thirty-two depressed participants were included. Each received either de:)press^© or the non-gamified version and was instructed to train three times per week for two weeks. Afterwards (four weeks) they were free to train at their own discretion. Depression severity was assessed during training and two follow-up sessions. Primary endpoint was defined as difference between groups [change of Montgomery-Åsberg Depression Rating Scale (MADRS)] four weeks after end of training.

RESULTS

Depression severity decreased in both groups. At primary endpoint, MADRS scores were significantly lower in the de:)press^© -group compared to the control group. No differences were observed at three months' follow-up. Intervention usability was consistently rated positively. Participants who had trained with de:)press^© maintained the recommended training frequency without further prompting. Besides transient fatigue or frustration, no adverse effects were observed.

CONCLUSION

This pilot demonstrates that gamification and information elements can substantially increase cognitive control training efficacy in alleviating depressive symptoms. Moreover, it provides first evidence for the feasibility and efficacy of de:)press^© as an add-on intervention to treat depression.

CLINICAL TRIAL REGISTRATION

The study is registered under ClinicalTrials.gov, identifier: NCT04400162.

Computerized Working Memory Training in Remission From Major Depressive Disorder: Effects on Emotional Working Memory, Processing Speed, Executive Functions, and Associations With Symptoms

Introduction

Remission from major depressive disorder (MDD) is associated with residual symptoms related to reduced functioning, quality of life, and relapse risk. Previous studies have raised questions about mechanisms involved-in and affected by cognitive training. This study investigated the associations and changes among depressive symptoms, rumination, processing speed (PS), executive functioning (EF), and emotional working memory (e-WM) pre- post computerized working memory training (CWMT).

Method

Twenty-nine remitted participants were included in a pre- post pilot study of within-subject effects of online CWMT. A total of 20 participants completed the intervention and pre- post tests of EF and PS, e-WM, in addition to symptom and rumination measures. Associations between changes in symptoms and cognition were investigated pre- post. Associations between improvements in CWMT, depression history, and changes in cognition were explored. Hypotheses and statistics were preregistered before data were analyzed.

Results

Manipulation of negatively valanced stimuli in e-WM showed an inverse association with rumination pre-intervention, but the association disappeared post-intervention. Cognitive functioning improved in most conditions with largest effects in EF. Symptoms did not change in the remitted sample. CWMT improvements were related to improvements in some aspects of EF and PS, but also to worse self-reported attention. Depression history was related to less improvement in EF.

Limitations

Sample size was small and there was dropout from the study. There was no control group, thus precluding practice and placebo effects and causal relationships.

Conclusions

Computerized WM training improves cognitive functions and could influence associations between e-WM and rumination. This could counteract functional impairment following MDD.

Improved emotion regulation in depression following cognitive remediation: A randomized controlled trial

OBJECTIVE

Executive functions (EFs) play a key role in emotion regulation and, related to this, depression. Cognitive remediation (CR) targeting EFs, such as Goal Management Training (GMT) and computerized cognitive training (CCT), may reduce maladaptive emotion regulation. However, the clinical potential of GMT in the context of depression and emotion regulation remains to be tested. Hence, the primary aim of the present study was to compare effects of GMT with CCT on symptoms of emotion dysregulation.

METHOD

The paper reports the effects of a preregistered randomized controlled trial. Sixty-three participants (18-60yrs) with active or remitted depression and EF complaints were randomized to nine sessions of GMT (n = 35) or CCT (n = 28). All were assessed at baseline, post-intervention, and at 6-month follow-up. The Ruminative Response Scale and the Difficulties in Emotion Regulation Scale were employed to assess emotion regulation.

RESULTS

Both groups improved following the intervention on emotion regulation domains after controlling for intention-to-treat, including brooding rumination and on items reflecting non-accepting reactions to distress. Relative to CCT, the GMT-group demonstrated increased clarity of emotional responses in the per protocol analysis.

CONCLUSIONS

Our findings demonstrate the potential of GMT and CCT in reducing maladaptive emotion regulation in depression.

A Review of Working Memory Training in the Management of Attention Deficit Hyperactivity Disorder

Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders among children. Working memory deficits underlie many of the behavioural symptoms of ADHD. Alongside psychostimulant medications, strategies to improve working memory may play an important adjuvant role in the management of ADHD. In this study, we review the role of working memory deficits in ADHD, the evidence surrounding working memory training strategies in the management of the condition, and the factors affecting the success of these strategies in alleviating ADHD symptoms. More specifically, we review several non-pharmacological interventions that target working memory deficits in ADHD, with special emphasis on cognitive working memory training. We conclude that the development of evidence-based interventions such as computerised cognitive training (CCT) could provide an alternative or adjunct to the use of psychostimulants, especially in cases where side effects are a major issue.