ArticleNeurorehabilitation and neural repair2015
Training Intensity Affects Motor Rehabilitation Efficacy Following Unilateral Ischemic Insult of the Sensorimotor Cortex in C57BL/6 Mice.
Article in Neurorehabilitation and neural repair, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed, 59 citations in OpenAlex.
- Immersive virtual reality-based rehabilitation for subacute stroke: a randomized controlled trial.Journal of neurology · 2024Trial
- Hebbian-Type Primary Motor Cortex Stimulation: A Potential Treatment of Impaired Hand Function in Chronic Stroke Patients.Neurorehabilitation and neural repair · 2020Trial
- Dose response of task-specific upper limb training in people at least 6 months poststroke: A phase II, single-blind, randomized, controlled trial.Annals of neurology · 2016Trial
- Trial
- Factors Influencing Walking Improvement After Immersive Virtual Reality Training with a Bodyweight-Supporting System in Poststroke Patients: A Prospective Single-Arm Study.Neurology international · 2026Article
- Virtual Reality Training for Post-Stroke Upper Limb Hemiparesis.Neurology international · 2026Review
- Advanced rehabilitation in ischaemic stroke research.Stroke and vascular neurology · 2024Review
- Myoelectric control and virtual reality to enhance motor rehabilitation after stroke.Frontiers in bioengineering and biotechnology · 2024Article
- Healthcare cost and race: analysis of young women with stroke.International journal for equity in health · 2023Article
- Challenges of neural interfaces for stroke motor rehabilitation.Frontiers in human neuroscience · 2023Article
- StrokeRehab: A Benchmark Dataset for Sub-second Action Identification.Advances in neural information processing systems · 2022Article
- Intensive Multi-Disciplinary Outpatient Rehabilitation for Facilitating Return-to-Work after Acquired Brain Injury: A Case-Control Study.Journal of rehabilitation medicine · 2022Article
- Using Robot-Based Variables during Upper Limb Robot-Assisted Training in Subacute Stroke Patients to Quantify Treatment Dose.Sensors (Basel, Switzerland) · 2022Article
- Voluntary exercise ameliorates the good limb training effect in a mouse model of stroke.Experimental brain research · 2021Article
- Safety, Feasibility, and Acceptability of a New Virtual Rehabilitation Platform: A Supervised Pilot Study.Rehabilitation process and outcome · 2021Article
- Neuroprotective Effects of Exercise Postconditioning After StrokeFrontiers in cellular neuroscience · 2021Article
- Rehabilitation Effects of Fatigue-Controlled Treadmill Training After Stroke: A Rat Model Study.Frontiers in bioengineering and biotechnology · 2020Article
- In Search of a Dose: The Functional and Molecular Effects of Exercise on Post-stroke Rehabilitation in Rats.Frontiers in cellular neuroscience · 2020Article
- Effects of Upper-Extremity Rehabilitation Using Smart Glove in Patients With Subacute Stroke: Results of a Prematurely Terminated Multicenter Randomized Controlled Trial.Frontiers in neurology · 2020Article
- Harnessing smartphone technology and three dimensional printing to create a mobile rehabilitation system, mRehab: assessment of usability and consistency in measurement.Journal of neuroengineering and rehabilitation · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMotor rehabilitative training improves behavioral functionality and promotes beneficial neural reorganization following stroke but is often insufficient to normalize function. Rodent studies have relied on skilled reaching tasks to model motor rehabilitation and explore factors contributing to its efficacy. It has been found that greater training intensity (sessions/day) and duration (training days) facilitates motor skill learning in intact animals. Whether rehabilitative training efficacy varies with intensity following stroke is unclear.
methodsMice were trained preoperatively on a skilled reaching task. Following focal ischemic lesions, mice received rehabilitative training either twice daily (high intensity [HI]), once daily (low intensity [LI]), or not at all (control) to determine the effects of rehabilitative training intensity on skilled motor performance.
resultsWithin 7 days, the HI-trained mice achieved preischemic levels of performance. Mice receiving LI training eventually reached similar performance levels but required a greater quantity of training. Training intensity did not consistently affect the maintenance of performance gains, which were partially lost over time in both groups. DISCUSSION: These data indicate that increased training intensity increases the rate of functional improvements per time and per training session following ischemic insult. Thus, training intensity is an important variable to consider in efforts to optimize rehabilitation efficacy.
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.