Mechanisms, Biomarkers, and Therapeutic Interventions of Neuroplasticity After Ischemic Stroke—A Scoping Review
Highlights
- A complex network of interrelated biological pathways mediates neuroplasticity following ischemic stroke. Preclinical studies have confirmed that key plastic changes include enhanced synaptic function, remodeling of dendrites and axons, restored communication between the two cerebral hemispheres, increased neurogenesis, and functional rearrangement of neural circuits, as well as compensatory neural activation in peri-infarct tissue and distant brain regions.
- Clinical studies on neuroplasticity biomarkers mainly focus on electrophysiology and neuroimaging, while most molecular and genetic research remains in the exploratory stage. Uniform evaluation criteria are still absent, and their predictive values have not been fully verified.
- Most studies on neuroplastic mechanisms remain at the preclinical stage, and relevant clinical evidence is still insufficient. This review proposes potential research directions for further exploring the mechanisms underlying functional recovery after ischemic stroke.
- This study systematically summarizes graded neuroplasticity mechanisms and assesses existing research limitations. It provides a theoretical reference and new research ideas for further exploring effective biomarkers, as well as promoting the clinical translation of stroke rehabilitation intervention strategies.
Abstract
1. Introduction
Aim and Objectives
- What are the cellular, molecular, and brain-network mechanisms underlying neuroplasticity after ischemic stroke?
- What biomarkers (molecular, electrophysiological, and imaging) can reflect neuroplastic changes and predict functional recovery?
- What intervention strategies (rehabilitation, pharmacological therapy, and neuromodulation) are applied to modulate post-stroke neuroplasticity?
2. Methods
2.1. Eligibility Criteria
- Mechanisms of neuroplasticity;
- Predictive or evaluative biomarkers for neuroplasticity;
- Pharmacological or non-pharmacological interventions targeting neuroplasticity.
- Study type: Peer-reviewed original clinical research (e.g., RCTs, observational studies, clinical trials, and prospective/retrospective cohort studies);
- Language: English;
- Publication date: Between 31 January 2021, and 31 January 2026.
2.2. Information Sources and Search Strategy
2.3. Selection of Sources of Evidence
2.4. Data Extraction
2.5. Critical Appraisal of Individual Sources of Evidence
2.6. Data Analysis and Synthesis
3. Results
3.1. Search Results
3.2. Characteristics of Included Studies
3.3. Mechanisms of Post-Ischemic Stroke Neuroplasticity
3.3.1. Molecular and Cellular Mechanisms
3.3.2. Brain Network Reorganization
3.4. Biomarkers of Post-Ischemic Stroke Plasticity
3.5. Pharmacological and Non-Pharmacological Interventions for Post-Ischemic Stroke Plasticity
3.5.1. Clinically Established Interventions
3.5.2. Experimental Preclinical Interventions (Under Investigation)
3.6. Comparison of This Scoping Review and Previous Reviews
3.7. Distribution and Inconsistency of Current Evidence
4. Discussion
4.1. Main Findings and Controversies of Neuroplasticity
4.2. Research Gaps and Future Perspectives
4.3. Strengths and Limitations
5. Conclusions and Outlook
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| DALYs | Disability-adjusted life years |
| PRISMA-ScR | Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews |
| MeSHs | Medical Subject Headings |
| SVZ | Subventricular zone |
| DG | Dentate gyrus |
| BDNF | Brain-derived neurotrophic factor |
| NSC | Neural stem cell |
| GFAP | Glial fibrillary acidic protein |
| SDF1α | Stromal cell-derived factor-1α |
| rs-fMRI | Resting-state functional magnetic resonance imaging |
| TMS | Transcranial magnetic stimulation |
| MEG | Magnetoencephalography |
| EEG | Electroencephalography |
| tDCS | Transcranial direct current stimulation |
| NGF | Nerve growth factor |
| NT-3 | Neurotrophin-3 |
| NT-4 | Neurotrophin-4 |
| CNS | Central nervous system |
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| Author and Year | Country | Study Design | Total Sample Size | Participant Characteristics | Research Domain | Key Findings |
|---|---|---|---|---|---|---|
| Altintas et al. (2022) [5] | Turkey | Retrospective case series | 90 patients | Acute ischemic stroke | Biomarkers | Serum TRAIL and adropin levels were associated with poor clinical outcomes |
| Zhang et al. (2024) [6] | China | Observational study | 25 patients | Stroke | Mechanism | IL-CST showed aggravation followed by improvement from around the lesion to the distal end |
| Sun et al. (2023) [7] | China | Randomized controlled trial | 98 patients | Acute ischemic stroke | Mechanism + Intervention | A computer-intelligent segmentation model LT-RCNN could accurately locate and segment AIS lesions and early rehabilitation training could change the expression of inflammatory factors |
| Liu et al. (2024) [19] | China | Observational study | 25 patients | Stroke | Mechanism + Biomarkers | Highlighted the potential of muscle synergy plasticity as a valuable tool for monitoring rehabilitation progress |
| Lin et al. (2026) [21] | China | Case–control | 27 stroke patients | Stroke | Biomarkers | Developed EEG-fNIRS multilayer brain network analysis method |
| Yue et al. (2025) [22] | China | Retrospective study | 20 patients | Acute ischemic stroke | Biomarkers | Highlighted the protective roles of moderate immune-inflammatory activation |
| Carlos et al. (2025) [23] | Brazil | Single-masked | 20 subjects | Chronic stroke | Intervention | Anodal tDCS combined with XR therapy seems to enhance neuroplasticity by modulating high-frequency power and connectivity |
| Hill et al. (2023) [24] | Australia | Randomized controlled trial | 33 patients | Stroke | Intervention | Moderate-intensity cycling may enhance neuroplasticity in people with stroke |
| Kim et al. (2025) [25] | Korea | Randomized controlled trial | 25 patients | Chronic stroke | Intervention | Developed brain–computer interface training with MI-contingent feedback approach |
| Guo et al. (2025) [26] | China | Randomized controlled trial | 40 patients | Subacute ischemic stroke | Intervention | Concurrent tDCS during VR-based robotic intervention can effectively enhance upper limb function and promote activation of ipsilesional M1 and contralesional PFC |
| Gerloff et al. (2022) [20] | Germany, Austria, USA | Randomized, double-blind, placebo-controlled trial | 120 patients | Subacute ischemic stroke | Intervention | Provides clinically relevant information on the topic of adjuvant non-invasive brain stimulation after stroke to enhance motor recovery |
| Umar et al. (2025) [27] | Malaysia | Randomized controlled trial | 69 patients | Stroke recovery | Intervention | The combination of TRE and tDCS may be a promising approach to enhance trunk control and mobility in post-stroke patients |
| Sihvonen et al. (2022) [28] | Finland | Secondary analysis of a randomized controlled trial | 38 patients | Stroke | Intervention | Showed that listening to music, either vocal or instrumental, promotes wide-spread structural connectivity changes in the post-stroke brain |
| Song et al. (2025) [29] | China | Randomized controlled trial | 50 patients | Stroke | Intervention | Acupuncture combined with the use of an upper limb rehabilitation robot can effectively improve upper limb function and neural remodeling |
| Gangemi et al. (2023) [30] | Italy | Randomized clinical trial | 30 patients | Chronic stroke | Intervention | Results indicate that a VR-based rehabilitation approach has potential in promoting neuroplastic changes |
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Yang, P.; Xie, D.; Wang, S.; Zhao, Y.; Zhang, Y. Mechanisms, Biomarkers, and Therapeutic Interventions of Neuroplasticity After Ischemic Stroke—A Scoping Review. Brain Sci. 2026, 16, 784. https://doi.org/10.3390/brainsci16080784
Yang P, Xie D, Wang S, Zhao Y, Zhang Y. Mechanisms, Biomarkers, and Therapeutic Interventions of Neuroplasticity After Ischemic Stroke—A Scoping Review. Brain Sciences. 2026; 16(8):784. https://doi.org/10.3390/brainsci16080784
Chicago/Turabian StyleYang, Pingping, Dan Xie, Song Wang, Yingying Zhao, and Yongbo Zhang. 2026. "Mechanisms, Biomarkers, and Therapeutic Interventions of Neuroplasticity After Ischemic Stroke—A Scoping Review" Brain Sciences 16, no. 8: 784. https://doi.org/10.3390/brainsci16080784
APA StyleYang, P., Xie, D., Wang, S., Zhao, Y., & Zhang, Y. (2026). Mechanisms, Biomarkers, and Therapeutic Interventions of Neuroplasticity After Ischemic Stroke—A Scoping Review. Brain Sciences, 16(8), 784. https://doi.org/10.3390/brainsci16080784

