ReviewSeminars in neurology2014
Closed-loop rehabilitation of age-related cognitive disorders.
Review in Seminars in neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Near transfer to an unrelated N-back task mediates the effect of N-back working memory training on matrix reasoning.Nature human behaviour · 2022Pooled it
- A Systematic Review of Closed-Loop Feedback Techniques in Sleep Studies-Related Issues and Future Directions.Sensors (Basel, Switzerland) · 2020Pooled it
- Closed-Loop Neurofeedback of α Synchrony during Goal-Directed Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Trial
- High-resolution, relational, resonance-based, electroencephalic mirroring (HIRREM) improves symptoms and autonomic function for insomnia: A randomized, placebo-controlled clinical trial.Brain and behavior · 2020Trial
- Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus.Frontiers in computational neuroscience · 2024Article
- Utility of Cognitive Neural Features for Predicting Mental Health Behaviors.Sensors (Basel, Switzerland) · 2022Article
- Personalized machine learning of depressed mood using wearables.Translational psychiatry · 2021Article
- SimBSI: An open-source Simulink library for developing closed-loop brain signal interfaces in animals and humans.Biomedical physics & engineering express · 2020Article
- Virtual Reality Enhances Gait in Cerebral Palsy: A Training Dose-Response Meta-Analysis.Frontiers in neurology · 2019Review
- Stimulating neural plasticity with real-time fMRI neurofeedback in Huntington's disease: A proof of concept study.Human brain mapping · 2018Article
- Cross-species approaches to cognitive neuroplasticity research.NeuroImage · 2016Article
- Closed-loop cognition: the next frontier arrives.Trends in cognitive sciences · 2015Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Cognitive deficits are common in older adults, as a result of both the natural aging process and neurodegenerative disease. Although medical advancements have successfully prolonged the human lifespan, the challenge of remediating cognitive aging remains. The authors discuss the current state of cognitive therapeutic interventions and then present the need for development and validation of more powerful neurocognitive therapeutics. They propose that the next generation of interventions be implemented as closed-loop systems that target specific neural processing deficits, incorporate quantitative feedback to the individual and clinician, and are personalized to the individual's neurocognitive capacities using real-time performance-adaptive algorithms. This approach should be multimodal and seamlessly integrate other treatment approaches, including neurofeedback and transcranial electrical stimulation. This novel approach will involve the generation of software that engages the individual in an immersive and enjoyable game-based interface, integrated with advanced biosensing hardware, to maximally harness plasticity and assure adherence. Introducing such next-generation closed-loop neurocognitive therapeutics into the mainstream of our mental health care system will require the combined efforts of clinicians, neuroscientists, bioengineers, software game developers, and industry and policy makers working together to meet the challenges and opportunities of translational neuroscience in the 21st century.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.