Cognitive Neurorehabilitation in Acquired Neurological Brain Injury

Nursing management of cognitive dysfunction in adults with brain injury: Summary of best evidence-practiced strategies

OBJECTIVE

To summarize the best evidence-based strategies for the management of cognitive dysfunction in patients with brain injury and to provide a reference for clinical nursing practice.

DESIGN

Review.

METHODS

The review was presented using PRISMA guidelines. A systematic search of evidence on the management of cognitive dysfunction in patients with brain injury was conducted in computerized decision systems, guideline websites, professional association websites and comprehensive databases from the date of creation to 21 June 2023. The types of evidence included were clinical decision making, guidelines, evidence summaries, best practices, recommended practices, expert consensus, systematic reviews and meta-analyses. Two researchers trained in evidence-based methodological systems independently evaluated the quality of the literature and extracted, integrated and graded the evidence for inclusion.

RESULTS

A total of 20 articles were selected, including nine guidelines, three expert consensus articles, one clinical practice article and seven systematic reviews, and the overall quality of the literature was high. Thirty pieces of evidence were summarized in seven areas: assessment, multidisciplinary team, rehabilitation program, cognitive intervention, exercise intervention, music intervention and medication management.

CONCLUSIONS

This study summarizes the latest evidence on the management of cognitive dysfunction in the care of adults with brain injury and provides a reference for clinical nursing practice. The best evidence should be selected for localized and individualized application in clinical work, and the best evidence should be continuously updated to standardize nursing practice.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Patients with cognitive impairment after brain injury often suffer from memory loss, attention deficit and disorientation and are unable to have a normal life and experience much enjoyment, which seriously affects their physical and mental health and creates a great burden of care for their families and society. Best evidence-based strategies for the nursing management of cognitive impairment in brain injury are essential for standardizing clinical nursing practice and providing timely, professional, systematic and comprehensive nursing interventions for patients.

REPORTING METHOD

This review is reported following the PRISMA 2020 statement guidelines, as applicable, to enhance transparency in reporting the evidence synthesis.

TRIAL AND PROTOCOL REGISTRATION

This study has been registered with the Fudan University Centre for Evidence-based Nursing, a JBI Centre of Excellence under registration number ES20232566, http://ebn.nursing.fudan.edu.cn/myRegisterList.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model

This article focuses on the development of algorithms for a smart neurorehabilitation system, whose core is made up of artificial neural networks. The authors of the article have proposed a completely unique transfer of ACE-R results to the CHC model. This unique approach allows for the saturation of the CHC model domains according to modified ACE-R factor analysis. The outputs of the proposed algorithm thus enable the automatic creation of a personalized and optimized neurorehabilitation plan for individual patients to train their cognitive functions. A set of tasks in 6 levels of difficulty (level 1 to level 6) was designed for each of the nine CHC model domains. For each patient, the results of the ACE-R screening helped deter-mine the specific CHC domains to be rehabilitated, as well as the initial gaming level for rehabilitation in each domain. The proposed artificial neural network algorithm was adapted to real data from 703 patients. Experimental outputs were compared to the outputs of the initially designed fuzzy expert system, which was trained on the same real data, and all outputs from both systems were statistically evaluated against expert conclusions that were available. It is evident from the conducted experimental study that the smart neurorehabilitation system using artificial neural networks achieved significantly better results than the neurorehabilitation system whose core is a fuzzy expert system. Both algorithms are implemented into a comprehensive neurorehabilitation portal (Eddie), which was supported by a research project from the Technology Agency of the Czech Republic.

Virtual reality-based music attention training for acquired brain injury: A protocol for randomized cross-over trial

Attention training is the primary step in the rehabilitation for patients with acquired brain injury (ABI). While active music performance has been reported to aid neural and functional recovery, its efficacy for patients with ABI remains uncertain due to methodological concerns. The purpose of the study is to develop a virtual reality-based music attention training (VR-MAT), which utilizes a visually guided, bilateral drumming in an immersive environment to train attention and executive functions. We also aims to examine the feasibility and effectiveness of the VR-MAT with a small sample size of participants (3-60 months after ABI, N = 20 approximately). Participants will be randomly assigned to either a waitlist control or music group, in which VR-MAT will take place five times weekly over 4 weeks (randomized crossover design). The evaluation of VR-MAT performance will include accuracy and response time in music responses. Neurocognitive outcome measures will be administered to quantify pre-post changes in attention, working memory, and executive functions. Additionally, functional near-infrared spectroscopy will be employed to explore the relationships between musical behavior, neurocognitive function, and neurophysiological responses.

Neurorehabilitation: Looking Back and Moving Forward, 1st Edition

Rehabilitation is "a set of interventions designed to optimize functioning and reduce disability in individuals with health conditions in interaction with their environment", according to the recent report from the World Health Organization (WHO), released in January 2023 [...].

Computer-assisted training of executive functions in adult patients with non-progressive acquired brain damage - a pilot study on efficacy of a new therapeutic application

Executive dysfunction is most often caused by post-traumatic or post-stroke damage to the prefrontal regions of the brain. The aim of this study was to compare the efficacy of two computer-assisted therapy programs for executive dysfunctions in patients with acquired brain injury. Patients were trained using either a newly developed application ExeSystem (designed to help improve the ability to manage and control one's own behavior by performing tasks imitating natural, everyday situations) or a combination of two commercial applications RehaCom and CogniPlus. Data collected after a three-week period of therapy conducted in two 15-person groups of participants indicated comparable efficacy of both therapy programs in improving quality of daily functioning, executive attention, as well as planning and problem-solving but not memory. The improvement in social competence (p = .028) was the only advantage of therapy with the ExeSystem. Therapeutic interactions using computer programs were shown to be positively evaluated by patients (p < .01). This study confirmed at least equal efficacy of computer-based executive function therapy using ExeSystem compared to RehaCom and CogniPlus. However, despite the implementation of a more ecological and comprehensive approach to the content of a new application, the benefits of this approach were limited.

Communication, Feeding and Swallowing Disorders in Neurological Diseases

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Neuropsychological rehabilitation of acquired, non-progressive cognitive-behavioral disorders in evidence-based clinical recommendations

Introduction: Neuropsychological rehabilitation is an important area of neurological rehabilitation. Its techniques are studied in terms of effectiveness and subjected to collective analyses in order to identify the best interventions. Objective: The purpose of the article is to present current clinical recommendations for neuropsychological rehabilitation among adult patients with acquired, non-progressive brain damage usually caused by a stroke or head injury. Data sources: The recommendations are based on the latest scientific papers containing systematic reviews and meta-analysis of studies on the rehabilitation of patients with cognitive dysfunctions and/or behavioral abnormalities. Conclusions: To date, the highest recommendation and the status of practice standards in neuropsychological rehabilitation have been achieved by therapeutic techniques of 5 post-stroke disorders (attention deficits, mild memory deficits, left-sided visual neglect, aphasia, global decline in cognitive-behavioral functioning) and 5 post-traumatic disorders (attention deficits, mild memory deficits, mild and moderate executive dysfunctions, abnormalities in social functioning and interpersonal communication, global decline in cognitive-behavioral functioning). These techniques may be used independently or introduced in combination with interventions of a lower recommendation level, classified as practice guidelines or practice options. The use of lower grade recommendations should also be considered in situations where there are no standard techniques for specific forms of disorders. In the case of deficits for which no recommendations have yet been made, further research is necessary. This applies to agnosia, profound memory disorders and amnesia, as well as profound executive dysfunctions.