ReviewClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2019
Brain networks and their relevance for stroke rehabilitation.
Review in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07584681 (Connectomic Alterations Following Acute Ischemic Stroke in the Middle Cerebral Artery Territory), which is not on this map. Cited by 107 papers, 10 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.
Connectomic Alterations Following Acute Ischemic Stroke in the Middle Cerebral Artery Territory: A Pilot Study of Prognostic Value and Structural Disruption
Who cites it
107 citing papers in PubMed, 10 syntheses or guidelines pooled it, 237 citations in OpenAlex.
- EEG biomarkers for assessment, prognosis, and monitoring of natural upper limb recovery after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Poststroke eHealth Technologies-Based Rehabilitation for Upper Limb Recovery: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Combined action observation and motor imagery practice for upper limb recovery following stroke: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- A systematic review of alterations in brain activation and intensity following stroke: implications for integration and functional outcomes.Frontiers in neurology · 2025Pooled it
- Systematic review and Meta-analysis of brain plasticity associated with electroacupuncture in experimental ischemic stroke.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024Pooled it
- The effects of visual skills training on cognitive and executive functions in stroke patients: a systematic review with meta-analysis.Journal of neuroengineering and rehabilitation · 2024Pooled it
- Effects of repetitive transcranial magnetic stimulation combined with repetitive peripheral magnetic stimulation on upper limb motor function after stroke: a systematic review and meta-analysis.Frontiers in neurology · 2024Pooled it
- The Effects of Repetitive Transcranial Magnetic Stimulation on Standing Balance and Walking in Older Adults with Age-related Neurological Disorders: A Systematic Review and Meta-analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Pooled it
- Transcranial direct current stimulation for gait recovery following stroke: A systematic review of current literature and beyond.Frontiers in neurology · 2022Pooled it
- Prognostic accuracy of transcranial magnetic stimulation-induced motor evoked potentials on recovery of upper limb: a systematic review.Frontiers in neurologyPooled it
- EEG-fMRI neurofeedback versus motor imagery after stroke, a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2025Trial
- Intensity-Dependent Effects of Low-Frequency Subthreshold rTMS on Primary Motor Cortex Excitability and Interhemispheric Inhibition in Elderly Participants: A Randomized Trial.Neurorehabilitation and neural repair · 2025Trial
- Effect of tDCS Concurrent With VR-Based Robotic Intervention on Hemiplegic Upper Limb Function After Subacute Ischemic Stroke: A Randomized Controlled Study.Neural plasticity · 2025Trial
- Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training.NeuroImage. Clinical · 2020Trial
- Network-oriented neurorehabilitation after stroke: a paradigmatic approach.Journal of neuroengineering and rehabilitation · 2026Review
- Sleep circuit modulation: from animal models to human translation.Brain : a journal of neurology · 2026Review
- Article
- Temporal interference stimulation for deep brain neuromodulation in humans.Nature biomedical engineering · 2026Review
- Structural connectome changes as biomarkers of stroke recovery: a longitudinal 7T MRI study.BMC neuroscience · 2026Article
- Reopening Motor Learning Windows: Targeted Re-Engagement of Latent Pathways via Non-Invasive Neuromodulation.Life (Basel, Switzerland) · 2026Review
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
Stroke has long been regarded as focal disease with circumscribed damage leading to neurological deficits. However, advances in methods for assessing the human brain and in statistics have enabled new tools for the examination of the consequences of stroke on brain structure and function. Thereby, it has become evident that stroke has impact on the entire brain and its network properties and can therefore be considered as a network disease. The present review first gives an overview of current methodological opportunities and pitfalls for assessing stroke-induced changes and reorganization in the human brain. We then summarize principles of plasticity after stroke that have emerged from the assessment of networks. Thereby, it is shown that neurological deficits do not only arise from focal tissue damage but also from local and remote changes in white-matter tracts and in neural interactions among wide-spread networks. Similarly, plasticity and clinical improvements are associated with specific compensatory structural and functional patterns of neural network interactions. Innovative treatment approaches have started to target such network patterns to enhance recovery. Network assessments to predict treatment response and to individualize rehabilitation is a promising way to enhance specific treatment effects and overall outcome after stroke.
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.