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Updated: Jun 2, 2026

Standardized Induction and Assessment of Long-term Potentiation-like Cortical Plasticity Using Transcranial Magnetic Stimulation
Published on: November 7, 2025
Harnessing neuroplasticity for clinical applications
Steven C Cramer1, Mriganka Sur, Bruce H Dobkin
1Department of Neurology, UC Irvine Medical Centre, 101 The City Drive South, Bldg 53, Rm 203, Orange, CA 92868-4280, USA. scramer@uci.edu
Neuroplasticity, the brain's ability to reorganize, offers therapeutic potential but requires better interventions. Integrating research across disciplines can translate findings into effective clinical treatments for various neurological conditions.
Area of Science:
- Neuroscience
- Clinical Research
- Translational Science
Background:
- Neuroplasticity is the nervous system's capacity to reorganize structure, function, and connections in response to stimuli.
- Despite advances, few neuroplasticity-based interventions are established for clinical use.
- Translating neuroplasticity research into practice is a key challenge.
Purpose of the Study:
- To advance the translation of neuroplasticity research into clinical applications.
- To identify cardinal examples, mechanisms, and therapeutic implications of neuroplasticity.
- To explore strategies for reducing human disability through neuroplasticity interventions.
Main Methods:
- A 2009 workshop sponsored by the National Institutes of Health Blueprint for Neuroscience Research convened basic and clinical researchers.
- Discussions covered central nervous system injury/stroke, mental/addictive disorders, paediatric/developmental disorders, and neurodegeneration/ageing.
- Identified common themes and promising therapeutic approaches.
Main Results:
- Promising therapies include brain stimulation and neuropharmacological interventions to enhance learning.
- Iterative collaborations across disciplines can improve understanding of adaptive mechanisms.
- Common themes across conditions include experience dependence, time sensitivity, and the importance of motivation and attention.
Conclusions:
- Improved assessment methods and biomarkers are needed to predict and monitor treatment response in humans.
- Integrating knowledge across disciplines is crucial for translating neuroplasticity research into effective clinical therapies.
- Understanding neuroplasticity variations across diverse conditions can guide therapeutic development.
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