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Window into the Brain: In Vivo Multiphoton Imaging.

ACS photonics·2025
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Related Experiment Video

Updated: Feb 13, 2026

Development of an Innovative LED-based Illumination Device for In Vitro Application of Photodynamic Therapy with Rose Bengal
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Development of an Innovative LED-based Illumination Device for In Vitro Application of Photodynamic Therapy with Rose Bengal

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Targeting Brain Networks for Recovery: Multimodal Innovations in Poststroke Therapy.

Shahrzad Latifi1

  • 1Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown.

Stroke
|February 12, 2026
PubMed
Summary
This summary is machine-generated.

This review explores novel therapies targeting brain networks after stroke. Strategies include nanomedicine, neuro-stimulation, and AI to promote neuroplasticity and recovery.

Keywords:
drug delivery systemsfocused ultrasoundischemic strokeneural networksneuromodulationneuroplasticitytranscranial magnetic stimulation

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Regenerative Medicine

Background:

  • Stroke causes widespread brain network disruption, leading to functional deficits.
  • Peri-infarct networks are crucial for recovery, driven by neuroplasticity.
  • Current treatments have limitations in addressing network-level recovery.

Purpose of the Study:

  • To review emerging therapeutic strategies for targeting post-stroke brain networks.
  • To highlight the role of nanomedicine, biomaterials, and neuro-stimulation.
  • To discuss the integration of AI and machine learning in stroke recovery.

Main Methods:

  • Review of current literature on stroke recovery and therapeutic interventions.
  • Analysis of nanomedicine, biomaterials, and neuro-stimulation techniques.
  • Exploration of AI/ML applications in personalized stroke rehabilitation.

Main Results:

  • Nanomedicine and biomaterials offer precise delivery for enhancing neuroplasticity.
  • Noninvasive neuro-stimulation provides complementary network modulation.
  • AI/ML enables dynamic, feedback-driven therapeutic interventions.

Conclusions:

  • Emerging therapies show promise in targeting peri-infarct networks for stroke recovery.
  • Combination approaches integrating biomaterials, stimulation, and AI are likely to advance stroke rehabilitation.
  • Precision medicine driven by AI will optimize therapeutic strategies for individual patient needs.